PyTorch implementation of Soft-Actor-Critic and Prioritized Experience Replay (PER) + Emphasizing Recent Experience (ERE) + Munchausen RL + D2RL and parallel Environments.

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Soft Actor-Critic Algorithms and Applications

D2RL: Deep Dense Architectures in Reinforcement Learning

Boosting Soft Actor-Critic: Emphasizing Recent Experience without Forgetting the Past

Improved Soft Actor-Critic: Mixing Prioritized Off-Policy Samples with On-Policy Experience


Data and code used in the 2015 ACL paper, "Ground Truth for Grammatical Error Correction Metrics"

Transforming Delete, Retrieve, Generate Approach for Controlled Text Style Transfer

Is ChatGPT a Highly Fluent Grammatical Error Correction System? A Comprehensive Evaluation

On Variational Learning of Controllable Representations for Text without Supervision

Grammatical Error Correction: A Survey of the State of the Art

Learning to Ask Unanswerable Questions for Machine Reading Comprehension

GLEU Without Tuning

Attention-based Encoder-Decoder Networks for Spelling and Grammatical Error Correction

A Reassessment of Reference-Based Grammatical Error Correction Metrics

International Conference on Computational Linguistics

A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction

Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation


Entroformer: A Transformer-based Entropy Model for Learned Image Compression

EVC: Towards Real-Time Neural Image Compression with Mask Decay


A Python library for knowledge graph representation learning (graph embedding).

Translating Embeddings for Modeling Multi-relational Data

Complex Embeddings for Simple Link Prediction

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

Convolutional 2D Knowledge Graph Embeddings

Holographic Embeddings of Knowledge Graphs

A Novel Embedding Model for Knowledge Base Completion Based on Convolutional Neural Network

North American Chapter of the Association for Computational Linguistics

Probability Calibration for Knowledge Graph Embedding Models


BAO Model Fitting Made Easy

Barry and the BAO Model Comparison

Monthly Notices of the Royal Astronomical Society

DESI 2024 III: Baryon Acoustic Oscillations from Galaxies and Quasars

Baryon Acoustic Oscillation Theory and Modelling Systematics for the
  DESI 2024 results

HOD-Dependent Systematics for Luminous Red Galaxies in the DESI 2024 BAO Analysis

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)


source code of NAACL2021 "PCFGs Can Do Better: Inducing Probabilistic Context-Free Grammars with Many Symbols“ and ACL2021 main conference "Neural Bilexicalized PCFG Induction"

Compound Probabilistic Context-Free Grammars for Grammar Induction

Einsum Networks: Fast and Scalable Learning of Tractable Probabilistic Circuits

The Return of Lexical Dependencies: Neural Lexicalized PCFGs

Neural Bi-Lexicalized PCFG Induction

Dynamic Programming in Rank Space: Scaling Structured Inference with Low-Rank HMMs and PCFGs


Principled Detection of Out-of-Distribution Examples in Neural Networks

Densely Connected Convolutional Networks

Wide Residual Networks

Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks

A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks

Learning Confidence for Out-of-Distribution Detection in Neural Networks

A Call to Reflect on Evaluation Practices for Failure Detection in Image Classification

A Variational Dirichlet Framework for Out-of-Distribution Detection

No True State-of-the-Art? OOD Detection Methods are Inconsistent across Datasets

Enhancing the Robustness of Prior Network in Out-of-Distribution Detection.

Conservative Prediction via Data-Driven Confidence Minimization


Various functions for analysis of microbial community data

Expanding known viral diversity in the healthy infant gut

Comparison of assembly process and co-occurrence pattern between planktonic and benthic microbial communities in the Bohai Sea

Viral diversity is linked to bacterial community composition in alpine stream biofilms

Evaluation of DNA extraction methods and direct PCR in metabarcoding of mock and marine bacterial communities

Microbiomes of Blood-Feeding Triatomines in the Context of Their Predatory Relatives and the Environment


[official] Quality Assessment of In-the-Wild Videos (ACM MM 2019)

PROCEEDINGS OF THE 27TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA (MM'19)

Comparing the Robustness of Modern No-Reference Image- and Video-Quality Metrics to Adversarial Attacks

Conceptual Framework and Documentation Standards of Cystoscopic Media Content for Artificial Intelligence

GAIA: Rethinking Action Quality Assessment for AI-Generated Videos


Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Deep Learning using Linear Support Vector Machines

A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection in Network Traffic Data

PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON MACHINE LEARNING AND COMPUTING (ICMLC 2018)

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification


Goodness-of-fit functions for comparison of simulated and observed hydrological time series

Modeling and interpreting hydrological responses of sustainable urban drainage systems with explainable machine learning methods

On the selection of precipitation products for the regionalisation of hydrological model parameters

Technical note: Hydrology modelling R packages – a unified analysis of models and practicalities from a user perspective

Evaluating five forest models using multi-decadal inventory data from mountain forests

Missing data in bioarchaeology II: A test of ordinal and continuous data imputation

American journal of physical anthropology

Reconstructing missing data by comparing interpolation techniques: Applications for long‐term water quality data

The Applicability of Time-Integrated Unit Stream Power for Estimating Bridge Pier Scour Using Noncontact Methods in a Gravel-Bed River

waywiser: Ergonomic Methods for Assessing Spatial Models


document image degradation

OCR4all - An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings

Comparison of OCR Accuracy on Early Printed Books using the Open Source Engines Calamari and OCRopus

Journal for Language Technology and Computational Linguistics

Chargrid-OCR: End-to-end trainable Optical Character Recognition through Semantic Segmentation and Object Detection

Mixed Model OCR Training on Historical Latin Script for Out-of-the-Box Recognition and Finetuning

On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation


Adaptive alpha shearlet transform for manifold-valued data

Learning the invisible: a hybrid deep learning-shearlet framework for limited angle computed tomography

TorchRadon: Fast Differentiable Routines for Computed Tomography

ShapeNet: Shape constraint for galaxy image deconvolution

Galaxy Image Restoration with Shape Constraint

Learning sparse representations on the sphere


RNA-Seq Mutation Detection

Ageing-associated changes in transcriptional elongation influence longevity

Next-generation sequencing identifies major DNA methylation changes during progression of Ph+ chronic myeloid leukemia

Synthetic introns enable splicing factor mutation-dependent targeting of cancer cells

Meta-analysis of Gene Expression in Neurodegenerative Diseases Reveals Patterns in GABA Synthesis and Heat Stress Pathways


A Non-Autoregressive End-to-End Text-to-Speech (text-to-wav), supporting a family of SOTA unsupervised duration modelings. This project grows with the research community, aiming to achieve the ultimate E2E-TTS

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

One TTS Alignment to Rule Them All

JETS: Jointly Training FastSpeech2 and HiFi-GAN for End to End Text to Speech


Entropy coding / arithmetic coding for PyTorch

Practical Full Resolution Learned Lossless Image Compression

Image Compression with Product Quantized Masked Image Modeling

GRACE: Loss-Resilient Real-Time Video through Neural Codecs

GRACE: Loss-Resilient Real-Time Video Communication Using Data-Scalable Autoencoder


UBC ARBERT and MARBERT Deep Bidirectional Transformers for Arabic

ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic

Arabic fake news detection based on deep contextualized embedding models

A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends

A Weak Supervised Transfer Learning Approach for Sentiment Analysis to the Kuwaiti Dialect

Workshop on Arabic Natural Language Processing

Building an Ensemble of Transformer Models for Arabic Dialect Classification and Sentiment Analysis


Code for biostar tutorials - mostly R and Perl

Pre-conditioning modifies the TME to enhance solid tumor CAR T cell efficacy and endogenous protective immunity

Molecular therapy : the journal of the American Society of Gene Therapy

Tumor Derived Extracellular Vesicles Drive T Cell Exhaustion in Tumor Microenvironment through Sphingosine Mediated Signaling and Impacting Immunotherapy Outcomes in Ovarian Cancer

Multifunctional RNA-binding proteins influence mRNA abundance and translational efficiency of distinct sets of target genes

Genetic and polygenic risk score analysis for Alzheimer's disease in the Chinese population

Alzheimer's & dementia (Amsterdam, Netherlands)

Targeting ITGB4/SOX2-driven lung cancer stem cells using proteasome inhibitors

Interactions of Both Pathogenic and Nonpathogenic CUG Clade Candida Species with Macrophages Share a Conserved Transcriptional Landscape

Tetraploidization of Immortalized Myoblasts Induced by Cell Fusion Drives Myogenic Sarcoma Development with DMD Deletion

Monocarboxylate Transporters Are Involved in Extracellular Matrix Remodelling in Pancreatic Ductal Adenocarcinoma


Official implementation of "GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators" (NeurIPS 2020)

G-PATE: Scalable Differentially Private Data Generator via Private Aggregation of Teacher Discriminators

DataLens: Scalable Privacy Preserving Training via Gradient Compression and Aggregation

Conference on Computer and Communications Security

Don't Generate Me: Training Differentially Private Generative Models with Sinkhorn Divergence

Private Set Generation with Discriminative Information

A Unified View of Differentially Private Deep Generative Modeling

Using Autoencoders on Differentially Private Federated Learning GANs

DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase


BLUE benchmark consists of five different biomedicine text-mining tasks with ten corpora.

Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets

BioSentVec: creating sentence embeddings for biomedical texts

IEEE International Conference on Healthcare Informatics

CollaboNet: collaboration of deep neural networks for biomedical named entity recognition

ML-Net: multi-label classification of biomedical texts with deep neural networks

Journal of the American Medical Informatics Association : JAMIA

Infusing Disease Knowledge into BERT for Health Question Answering, Medical Inference and Disease Name Recognition

Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review

Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study

Specializing Static and Contextual Embeddings in the Medical Domain Using Knowledge Graphs: Let’s Keep It Simple

Proceedings of the 13th International Workshop on Health Text Mining and Information Analysis (LOUHI)


Python Package to calculate Cliff's delta

Lags in the release, adoption, and propagation of npm vulnerability fixes

Including Everyone, Everywhere: Understanding Opportunities and Challenges of Geographic Gender-Inclusion in OSS

IEEE Transactions on Software Engineering

Clones in deep learning code: what, where, and why?

Giving Back: Contributions Congruent to Library Dependency Changes in a Software Ecosystem

Grading 600+ students: A Case Study on Peer and Self Grading

Zenodo (CERN European Organization for Nuclear Research)

Transcriptional immune suppression and upregulation of double stranded DNA damage and repair repertoires in ecDNA-containing tumors

Understanding the Role of External Pull Requests in the NPM Ecosystem

Intertwining Ecosystems: A Large Scale Empirical Study of Libraries that Cross Software Ecosystems

What Variables Affect Out-Of-Distribution Generalization in Pretrained
  Models?

Exploring anxiety awareness during academic science examinations


Polygenic prediction via continuous shrinkage priors

Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits

Genome-wide association analysis of 19,629 individuals identifies variants influencing regional brain volumes and refines their genetic co-architecture with cognitive and mental health traits

Leveraging fine-mapping and multipopulation training data to improve cross-population polygenic risk scores

Global Biobank analyses provide lessons for developing polygenic risk scores across diverse cohorts

Stability of polygenic scores across discovery genome-wide association studies

Integration of questionnaire-based risk factors improves polygenic risk scores for human coronary heart disease and type 2 diabetes

Multivariate genetic analysis of personality and cognitive traits reveals abundant pleiotropy

Unbiased classification of the elderly human brain proteome resolves distinct clinical and pathophysiological subtypes of cognitive impairment

Polygenic Health Index, General Health, and Pleiotropy: Sibling Analysis and Disease Risk Reduction

Polygenic prediction across populations is influenced by ancestry, genetic architecture, and methodology


Source code for ACL 2022 Paper "Prompt-based Data Augmentation for Low-Resource NLU Tasks"

PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks

CoDa: Constrained Generation based Data Augmentation for Low-Resource
  NLP

ABEX: Data Augmentation for Low-Resource NLU via Expanding Abstract
  Descriptions


Bit-Swap: Recursive Bits-Back Coding for Lossless Compression with Hierarchical Latent Variables

Practical Lossless Compression with Latent Variables using Bits Back Coding

Lossless Compression with Probabilistic Circuits


A python pipeline to identify IS (Insertion Sequence) elements in genome and metagenome

ISEScan: automated identification of insertion sequence elements in prokaryotic genomes

Survey and Sequence Characterization of Bovine Mastitis-Associated Escherichia coli in Dairy Herds

Escherichia ruysiae May Serve as a Reservoir of Antibiotic Resistance Genes across Multiple Settings and Regions


package for primordial cosmology

First detection of the BAO signal from early DESI data

Dark Energy Survey: A 2.1% measurement of the angular Baryonic Acoustic
  Oscillation scale at redshift $z_{\rm eff}$=0.85 from the final dataset

Optimal Reconstruction of Baryon Acoustic Oscillations for DESI 2024


⚡ Flashbax: Accelerated Replay Buffers in JAX

Prioritized Experience Replay

Podracer architectures for scalable Reinforcement Learning


MLP-Like Vision Permutator for Visual Recognition (PyTorch)

Vision Permutator: A Permutable MLP-Like Architecture for Visual Recognition

iMixer: hierarchical Hopfield network implies an invertible, implicit and iterative MLP-Mixer


GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23

GraphSAINT: Graph Sampling Based Inductive Learning Method

GraphMAE: Self-Supervised Masked Graph Autoencoders

UniGraph: Learning a Cross-Domain Graph Foundation Model From Natural
  Language

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders


Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

Hierarchical VAEs Know What They Don't Know

Variational Neural Cellular Automata

Learning Joint Latent Space EBM Prior Model for Multi-layer Generator

Learning Hierarchical Features with Joint Latent Space Energy-Based Prior


Iron Age and Anglo-Saxon genomes from East England reveal British migration history

A genome sequence from a modern human skull over 45,000 years old from Zlatý kůň in Czechia

Triangulation supports agricultural spread of the Transeurasian languages

Late Pleistocene human genome suggests a local origin for the first farmers of central Anatolia

Emergence of human-adapted Salmonella enterica is linked to the Neolithization process

Ancient genomes reveal social and genetic structure of Late Neolithic Switzerland

Ancient genomic time transect from the Central Asian Steppe unravels the history of the Scythians

The origin and legacy of the Etruscans through a 2000-year archeogenomic time transect

Ancient genome-wide analyses infer kinship structure in an Early Medieval Alemannic graveyard

Genomic transformation and social organization during the Copper Age–Bronze Age transition in southern Iberia


Out-of-the-box code and models for CMU's object detection and tracking system for multi-camera surveillance videos. Speed optimized Faster-RCNN model. Tensorflow based. Also supports EfficientDet. WACVW'20

mixup: Beyond Empirical Risk Minimization

Relation Networks for Object Detection

Towards Real-Time Multi-Object Tracking

Argus: Efficient Activity Detection System for Extended Video Analysis

2020 IEEE Winter Applications of Computer Vision Workshops (WACVW)

From Recognition to Prediction: Analysis of Human Action and Trajectory Prediction in Video


Differentiation of Blackbox Combinatorial Solvers

Contrastive Losses and Solution Caching for Predict-and-Optimize

Learning with Combinatorial Optimization Layers: a Probabilistic Approach

PyEPO: A PyTorch-based End-to-End Predict-then-Optimize Library for Linear and Integer Programming

Backpropagation through Combinatorial Algorithms: Identity with Projection Works

Robust Losses for Decision-Focused Learning

Decision-Focused Learning with Directional Gradients


Experimental implementations of several (over/under)-sampling techniques not yet available in the imbalanced-learn library.

LoRAS: An oversampling approach for imbalanced datasets

A multi-schematic classifier-independent oversampling approach for imbalanced datasets

A Novel Adaptive Minority Oversampling Technique for Improved Classification in Data Imbalanced Scenarios


Creative Commons Attribution 4.0 International

JRC Hydro-power plants database

The role of new nuclear power in the UK's net-zero emissions energy system


Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration

Spiking Neural Networks and Their Applications: A Review

Neuromorphic control for optic-flow-based landing of MAVs using the Loihi processor

Evolved Neuromorphic Control for High Speed Divergence-Based Landings of MAVs

International Conference on Robotics and Automation

Brain Inspired Computing: A Systematic Survey and Future Trends

A toolbox for neuromorphic sensing in robotics

Frameworks for SNNs: a Review of Data Science-oriented Software and an Expansion of SpykeTorch


Adversarial Threat Landscape for AI Systems

Sponge Examples: Energy-Latency Attacks on Neural Networks

Generating Fake Cyber Threat Intelligence Using Transformer-Based Models

Holistic Adversarial Robustness of Deep Learning Models

The Cybersecurity Crisis of Artificial Intelligence: Unrestrained Adoption and Natural Language-Based Attacks

NLP-Based Techniques for Cyber Threat Intelligence

Adversarial Attack Attribution: Discovering Attributable Signals in Adversarial ML Attacks

A Modified Drake Equation for Assessing Adversarial Risk to Machine Learning Models

Mental Models of Adversarial Machine Learning


Source  code and model GALD net (BMVC-2019) and Dual-Seg Net (BMVC-2019)

Dual Graph Convolutional Network for Semantic Segmentation

Global Aggregation then Local Distribution in Fully Convolutional Networks

Global Aggregation Then Local Distribution for Scene Parsing

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society


Effect size calculations for microbiome data.

Tiny microbes, enormous impacts: what matters in gut microbiome studies?

Greengenes2 enables a shared data universe for microbiome studies

Determination of Effect Sizes for Power Analysis for Microbiome Studies Using Large Microbiome Databases


PAired-eND Assembler for DNA sequences

New Primers for Discovering Fungal Diversity Using Nuclear Large Ribosomal DNA

High molecular weight dissolved organic matter enrichment selects for methylotrophs in dilution to extinction cultures

Association Between Breastmilk Microbiota and Food Allergy in Infants

Frontiers in cellular and infection microbiology

Characteristics of Gut Microbiota in Patients with GH-Secreting Pituitary Adenoma

Association of gut microbiota with sort-chain fatty acids and inflammatory cytokines in diabetic patients with cognitive impairment: A cross-sectional, non-controlled study

Diammonium Glycyrrhizinate Ameliorates Obesity Through Modulation of Gut Microbiota-Conjugated BAs-FXR Signaling

Conjunctival Microbiota in Patients With Type 2 Diabetes Mellitus and Influences of Perioperative Use of Topical Levofloxacin in Ocular Surgery

The Gut Microbiota Determines the High-Altitude Adaptability of Tibetan Wild Asses (Equus kiang) in Qinghai-Tibet Plateau

Imaging the in vivo growth patterns of bacteria in human gut Microbiota

Relationship between maternal–infant gut microbiota and infant food allergy


Content Planning for Neural Story Generation with Aristotelian Rescoring

Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning

Guiding Neural Story Generation with Reader Models


llmstep: [L]LM proofstep suggestions in Lean 4.

Llemma: An Open Language Model For Mathematics

Proof Artifact Co-training for Theorem Proving with Language Models

LLMSTEP: LLM proofstep suggestions in Lean

Mathematical Language Models: A Survey


GHOST (the Geophysical High-Order Suite for Turbulence) is an accurate and highly scalable pseudospectral code that solves a variety of PDEs often encountered in studies of turbulent flows.

Efficient kinetic Lattice Boltzmann simulation of three-dimensional Hall-MHD turbulence

Initial evolution of 3D turbulence en route to the Kolmogorov state: emergence and transformations of coherent structures, self-similarity and instabilities


Assign genotypes to Salmonella Typhi genomes based on VCF files (mapped to Typhi CT18 reference genome)

Emergence of an Extensively Drug-Resistant Salmonella enterica Serovar Typhi Clone Harboring a Promiscuous Plasmid Encoding Resistance to Fluoroquinolones and Third-Generation Cephalosporins

An extended genotyping framework for Salmonella enterica serovar Typhi, the cause of human typhoid

Laboratory and molecular surveillance of paediatric typhoidal Salmonella in Nepal: Antimicrobial resistance and implications for vaccine policy

Tracking the Emergence of Azithromycin Resistance in Multiple Genotypes of Typhoidal Salmonella

Spontaneous Emergence of Azithromycin Resistance in Independent Lineages of Salmonella Typhi in Northern India

Five Years of GenoTyphi: Updates to the Global Salmonella Typhi Genotyping Framework

A Race against Time: Reduced Azithromycin Susceptibility in Salmonella enterica Serovar Typhi in Pakistan

Global diversity and antimicrobial resistance of typhoid fever pathogens: Insights from a meta-analysis of 13,000 Salmonella Typhi genomes

Salmonella Typhi acquires diverse plasmids from other Enterobacteriaceae to develop cephalosporin resistance

Whole Genome Sequence Analysis of Salmonella Typhi Isolated in Thailand before and after the Introduction of a National Immunization Program


AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates

The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress

The ACM Multimedia 2022 Computational Paralinguistics Challenge: Vocalisations, Stuttering, Activity, & Mosquitoes

Face mask recognition from audio: The MASC database and an overview on the mask challenge

Comparison of Speech Representations for Automatic Quality Estimation in Multi-Speaker Text-to-Speech Synthesis

DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized Data

The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation

Towards cross-modal pre-training and learning tempo-spatial characteristics for audio recognition with convolutional and recurrent neural networks

EURASIP Journal on Audio, Speech, and Music Processing

On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era


CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow

CroCo: Self-Supervised Pre-training for 3D Vision Tasks by Cross-View Completion

End-to-End (Instance)-Image Goal Navigation through Correspondence as an Emergent Phenomenon


Play deep learning with CIFAR datasets

Addressing "Documentation Debt" in Machine Learning Research: A Retrospective Datasheet for BookCorpus

Towards Training Reproducible Deep Learning Models

Proceedings of the 44th International Conference on Software Engineering

Measuring Discrimination to Boost Comparative Testing for Multiple Deep Learning Models

Inspiration through Observation: Demonstrating the Influence of Automatically Generated Text on Creative Writing

LogiGAN: Learning Logical Reasoning via Adversarial Pre-training

Compression strategies and space-conscious representations for deep neural networks

Compact representations of convolutional neural networks via weight pruning and quantization

Detecting Deep Neural Network Defects with Data Flow Analysis


Embodied Question Answering

Building Generalizable Agents with a Realistic and Rich 3D Environment

Neural Modular Control for Embodied Question Answering


Fast Radio Burst Population Synthesis in Python

CHIME/FRB Discovery of 25 Repeating Fast Radio Burst Sources

Interpreting the distributions of FRB observables

Monthly Notices of the Royal Astronomical Society

Fast radio burst dispersion measures and rotation measures and the origin of intergalactic magnetic fields

Monthly notices of the Royal Astronomical Society

Synthesising the repeating FRB population using frbpoppy

Synthesising the intrinsic FRB population using frbpoppy

Redshift estimates for fast radio bursts and implications on intergalactic magnetic fields

Multi-dimensional population modelling using frbpoppy: Magnetars can produce the observed fast radio burst sky

A method for reconstructing the Galactic magnetic field using dispersion of fast radio bursts and Faraday rotation of radio galaxies

Joint inference on the redshift distribution of fast radio burst and on the intergalactic baryon content

How limiting is optical follow-up for fast radio burst applications? Forecasts for radio and optical surveys


VcfExplorer regroups several programs which principal aims are to map DNA and RNAseq data onto reference genome sequence, perform variant calling, manipulate vcf files, perform chromosome painting of accessions based on the contribution of ancestral groups, select marker for genetic map analysis and perform pairwise chromosome linkage of ordered markers.

A mosaic monoploid reference sequence for the highly complex genome of sugarcane

Genome ancestry mosaics reveal multiple and cryptic contributors to cultivated banana

The Plant journal : for cell and molecular biology

Unravelling the complex story of intergenomic recombination in ABB allotriploid bananas

Three founding ancestral genomes involved in the origin of sugarcane

Shared pedigree relationships and transmission of unreduced gametes in cultivated banana

Genomic Instability in Somatic Hybridization between Poncirus and Citrus Species Aiming to Create New Rootstocks

Construction of a High-Density Genetic Map for Pitaya Using the Whole Genome Resequencing Approach

Karyotyping of aneuploid and polyploid plants from low coverage whole-genome resequencing


Visual Dialog: Light-weight Transformer for Many Inputs (ECCV 2020)

Efficient Attention Mechanism for Visual Dialog that can Handle All the Interactions between Multiple Inputs

GoG: Relation-aware Graph-over-Graph Network for Visual Dialog

Learning to Ground Visual Objects for Visual Dialog


O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis

Adaptive O-CNN: A Patch-based Deep Representation of 3D Shapes

SIGGRAPH ASIA'18: SIGGRAPH ASIA 2018 TECHNICAL PAPERS

Deep Octree-based CNNs with Output-Guided Skip Connections for 3D Shape and Scene Completion

Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination

H-CNN: Spatial Hashing Based CNN for 3D Shape Analysis

IEEE transactions on visualization and computer graphics


thundeR - Rapid computation and visualisation of convective parameters from rawinsonde and NWP data


Code for exploring Based models from "Simple linear attention language models balance the recall-throughput tradeoff"

Zoology: Measuring and Improving Recall in Efficient Language Models

Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning
  Tasks

Repeat After Me: Transformers are Better than State Space Models at
  Copying

Just read twice: closing the recall gap for recurrent language models


Python-based pulsar search data manipulation package

Detection of the magnetar XTE J1810-197 at 150 and 260 GHz with the NIKA2 kinetic inductance detector camera

KERN

A Search for Pulsars around Sgr A* in the First Event Horizon Telescope Data Set

The High Time Resolution Universe Pulsar survey – XVIII. The reprocessing of the HTRU-S Low Lat survey around the Galactic Centre using a Fast Folding Algorithm pipeline for accelerated pulsars

Detecting pulsars with neural networks: a proof of concept


ILDC for CJPE: Indian Legal Documents Corpus for Court Judgment Prediction and Explanation

Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law

SemEval 2023 Task 6: LegalEval - Understanding Legal Texts

Bringing order into the realm of Transformer-based language models for artificial intelligence and law


A Tool for clone detection and bug detection in smart contracts

Checking Smart Contracts With Structural Code Embedding

SmartEmbed: A Tool for Clone and Bug Detection in Smart Contracts through Structural Code Embedding

International Conference on Software Maintenance

When Deep Learning Meets Smart Contracts

International Conference on Automated Software Engineering


NAS-Bench-101: Towards Reproducible Neural Architecture Search

Does Unsupervised Architecture Representation Learning Help Neural Architecture Search?

Tabular Benchmarks for Joint Architecture and Hyperparameter Optimization

Interpretable Neural Architecture Search via Bayesian Optimisation with Weisfeiler-Lehman Kernels

Optimal Transport Kernels for Sequential and Parallel Neural Architecture Search

Speedy Performance Estimation for Neural Architecture Search

Neural Architecture Search using Bayesian Optimisation with Weisfeiler-Lehman Kernel.

Near-linear Time Gaussian Process Optimization with Adaptive Batching and Resparsification

B2EA: An Evolutionary Algorithm Assisted by Two Bayesian Optimization Modules for Neural Architecture Search

Batch Bayesian optimisation via density-ratio estimation with guarantees


THE Deep Learning Benchmarks

Deep Residual Learning for Image Recognition

Rethinking the Inception Architecture for Computer Vision

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

Theano: A Python framework for fast computation of mathematical expressions

Exploring the Limits of Language Modeling

Tuning the Scheduling of Distributed Stochastic Gradient Descent with Bayesian Optimization


Phylogenetic Analysis of SARS-CoV-2 Data Is Difficult

Stability of SARS-CoV-2 phylogenies

Emergence of immune escape at dominant SARS-CoV-2 killer T cell epitope

SARS-CoV-2 outbreak in a tri-national urban area is dominated by a B.1 lineage variant linked to a mass gathering event

Accelerated evolution of SARS-CoV-2 in free-ranging white-tailed deer

No detectable signal for ongoing genetic recombination in SARS-CoV-2

A phylogeny-based metric for estimating changes in transmissibility from recurrent mutations in SARS-CoV-2

CoVizu: Rapid analysis and visualization of the global diversity of SARS-CoV-2 genomes

Regional importation and asymmetric within-country spread of SARS-CoV-2 variants of concern in the Netherlands

medRxiv : the preprint server for health sciences

SARS-CoV-2 phylogeny during the early outbreak in the Basel area, Switzerland: import and spread dominated by a single B.1 lineage variant (C15324T)


16S taxonomy assignment using an ecosystem-specific database.

Bacterial Community Composition and Dynamics Spanning Five Years in Freshwater Bog Lakes

TaxAss: Leveraging a Custom Freshwater Database Achieves Fine-Scale Taxonomic Resolution

Microbial communities of the Laurentian Great Lakes reflect connectivity and local biogeochemistry

Cyanobacterial Community Composition and Bacteria–Bacteria Interactions Promote the Stable Occurrence of Particle-Associated Bacteria

Niche Separation Increases With Genetic Distance Among Bloom-Forming Cyanobacteria

Ananke: temporal clustering reveals ecological dynamics of microbial communities


R  for flood forecasting via the National Water Model

A CyberGIS Approach to Generating High-resolution Height Above Nearest Drainage (HAND) Raster for National Flood Mapping


Bayesian AGN Decomposition Analysis for SDSS Spectra

Bayesian AGN Decomposition Analysis for SDSS spectra: a correlation analysis of [O iii] λ5007 outflow kinematics with AGN and host galaxy properties

An increase in black hole activity in galaxies with kinematically misaligned gas

Narrow-line Seyfert 1 galaxies in Sloan Digital Sky Survey: a new optical spectroscopic catalogue

Galaxy pairs in the Sloan Digital Sky Survey – XV. Properties of ionized outflows

The US Naval Observatory VLBI Spectroscopic Catalog

The Astrophysical Journal Supplement Series

The Messy Nature of Fiber Spectra: Star-Quasar Pairs Masquerading as Dual Type 1 AGNs

VaDAR: Varstrometry for Dual AGN Using Radio Interferometry


An adaptive optics simulation package. Yao is a yorick plugin. Many of the core routines are written in C, which makes it very fast.

Gemini multiconjugate adaptive optics system review - I. Design, trade-offs and integration

Overcoming the effect of pupil distortion in multiconjugate adaptive optics

SOWAT: Speckle Observations with Alleviated Turbulence

Publications of the Astronomical Society of the Pacific


R wrapper for Van der Maaten's Barnes-Hut implementation of t-Distributed Stochastic Neighbor Embedding

Massive mining of publicly available RNA-seq data from human and mouse

Metabolic landscape of the tumor microenvironment at single cell resolution

Interpretable dimensionality reduction of single cell transcriptome data with deep generative models

Alterations in ALK/ROS1/NTRK/MET drive a group of infantile hemispheric gliomas

Single-cell RNA sequencing reveals midbrain dopamine neuron diversity emerging during mouse brain development

t-Distributed Stochastic Neighbor Embedding (t-SNE): A tool for eco-physiological transcriptomic analysis

Comprehensive Immune Monitoring of Clinical Trials to Advance Human Immunotherapy

Retinoblastoma from human stem cell-derived retinal organoids

Single cell transcriptomics identifies stem cell-derived graft composition in a model of Parkinson’s disease

FoxA1 and FoxA2 drive gastric differentiation and suppress squamous identity in NKX2-1-negative lung cancer


Open Generation, Storage, and Transmission Operation and Expansion Planning Model with RES and ESS (openTEPES)


Experimental pipeline for correcting nanopore reads

A complete bacterial genome assembled de novo using only nanopore sequencing data

Oxford Nanopore MinION Sequencing and Genome Assembly

基因组蛋白质组与生物信息学报

The genome of the soybean cyst nematode (Heterodera glycines) reveals complex patterns of duplications involved in the evolution of parasitism genes

Assessing the utility of the Oxford Nanopore MinION for snake venom gland cDNA sequencing

Constructing a Reference Genome in a Single Lab: The Possibility to Use Oxford Nanopore Technology


Resources for calling and describing the circulating lineages of SARS-CoV-2

A SARS-CoV-2 vaccine candidate would likely match all currently circulating variants

Proceedings of the National Academy of Sciences of the United States of America

SARS-CoV-2 outbreak in a tri-national urban area is dominated by a B.1 lineage variant linked to a mass gathering event

First COVID-19 case in Zambia — Comparative phylogenomic analyses of SARS-CoV-2 detected in African countries

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases

Genetic tracing of HCoV-19 for the re-emerging outbreak of COVID-19 in Beijing, China

SARS-CoV-2 phylogeny during the early outbreak in the Basel area, Switzerland: import and spread dominated by a single B.1 lineage variant (C15324T)

On the Origin and Propagation of the COVID-19 Outbreak in the Italian Province of Trento, a Tourist Region of Northern Italy


Summary of related papers on visual attention. Related code will be released based on Jittor gradually.

Attention mechanisms in computer vision: A survey

Visual attention network

Beyond Self-attention: External Attention using Two Linear Layers for Visual Tasks


Annotation of genomic regions using transcription factor binding sites and epigenetic data

Combining transcription factor binding affinities with open-chromatin data for accurate gene expression prediction

Systems biology for crop improvement

TEPIC 2—an extended framework for transcription factor binding prediction and integrative epigenomic analysis

Integrative prediction of gene expression with chromatin accessibility and conformation data

Temporal enhancer profiling of parallel lineages identifies AHR and GLIS1 as regulators of mesenchymal multipotency

Integrative analysis of epigenetics data identifies gene-specific regulatory elements

On the problem of confounders in modeling gene expression

3D genome organization links non-coding disease-associated variants to genes

Frontiers in cell and developmental biology

The adapted Activity-By-Contact model for enhancer-gene assignment and its application to single-cell data

Temporal epigenomic profiling identifies AHR and GLIS1 as super-enhancer controlled regulators of mesenchymal multipotency


Patchwork++: Fast and robust ground segmentation method for 3D LiDAR scans. @ IROS'22

Patchwork: Concentric Zone-based Region-wise Ground Segmentation with Ground Likelihood Estimation Using a 3D LiDAR Sensor

Patchwork++: Fast and Robust Ground Segmentation Solving Partial Under-Segmentation Using 3D Point Cloud

GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation


[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth Estimation

Is Your HD Map Constructor Reliable under Sensor Corruptions?


PyCIL: A Python Toolbox for Class-Incremental Learning

Overcoming catastrophic forgetting in neural networks

Learning without Forgetting

iCaRL: Incremental Classifier and Representation Learning

Gradient Episodic Memory for Continual Learning

Large Scale Incremental Learning

PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning

DER: Dynamically Expandable Representation for Class Incremental Learning

Maintaining Discrimination and Fairness in Class Incremental Learning

Prototype Augmentation and Self-Supervision for Incremental Learning

FOSTER: Feature Boosting and Compression for Class-Incremental Learning


PROSE Public Benchmark Suite

Repair Is Nearly Generation: Multilingual Program Repair with LLMs

A Survey on Automated Program Repair Techniques

PyDex: Repairing Bugs in Introductory Python Assignments using LLMs

Proceedings of the ACM on Programming Languages

FormaT5: Abstention and Examples for Conditional Table Formatting with Natural Language

Information-theoretic User Interaction: Significant Inputs for Program Synthesis


Interactive GAN evolution of Mario and Zelda levels.

Interactive Evolution and Exploration Within Latent Level-Design Space of Generative Adversarial Networks

Tile Pattern KL-Divergence for Analysing and Evolving Game Levels

Proceedings of the Genetic and Evolutionary Computation Conference

Experience-Driven PCG via Reinforcement Learning: A Super Mario Bros Study

CPPN2GAN: Combining Compositional Pattern Producing Networks and GANs for Large-scale Pattern Generation

Hybrid Encoding for Generating Large Scale Game Level Patterns With Local Variations


Library of released PBPK substance models and evaluation reports

Pharmacokinetics of the CYP3A4 and CYP2B6 Inducer Carbamazepine and Its Drug–Drug Interaction Potential: A Physiologically Based Pharmacokinetic Modeling Approach

A Physiologically Based Pharmacokinetic Model of Ketoconazole and Its Metabolites as Drug–Drug Interaction Perpetrators

A Physiologically Based Pharmacokinetic and Pharmacodynamic Model of the CYP3A4 Substrate Felodipine for Drug–Drug Interaction Modeling

Development of a Physiologically Based Pharmacokinetic Model for Tegoprazan: Application for the Prediction of Drug–Drug Interactions with CYP3A4 Perpetrators


Inforex is a web system for text corpora construction.

Multi-Level Sentiment Analysis of PolEmo 2.0: Extended Corpus of Multi-Domain Consumer Reviews

Conference on Computational Natural Language Learning

The Second Cross-Lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages

Meeting of the Association for Computational Linguistics

Slav-NER: the 3rd Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages

Workshop on Balto-Slavic Natural Language Processing

RANLP - Inforex — a Collaborative Systemfor Text Corpora Annotation and Analysis Goes Open

Recent Advances in Natural Language Processing

Slav-NER: the 4th Cross-lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic languages


Lorikeet is a JQuery plugin to view MS/MS spectra annotated with fragment ions.

Multi-omics Visualization Platform: An extensible Galaxy plug-in for multi-omics data visualization and exploration

Resourcing, annotating, and analysing synthetic peptides of SARS‐CoV‐2 for immunopeptidomics and other immunological studies


The R climate package: an interface for downloading in-situ meteorological (and hydrological) dataset


DEPRECATED. The latest floris is at https://github.com/nrel/floris

A simulation study demonstrating the importance of large-scale trailing vortices in wake steering

Robust active wake control in consideration of wind direction variability and uncertainty

Zenodo (CERN European Organization for Nuclear Research)

Engineering models for turbine wake velocity deficit and wake deflection. A new proposed approach for onshore and offshore applications

Model-based closed-loop wind farm control for power maximization using Bayesian Optimization: a large eddy simulation study


Export Emissions to Atmospheric Models


R interface to DATRAS trawl database web services

Evidence of stock connectivity, hybridization and misidentification in white anglerfish support the need of a genetics-informed fisheries management framework


NCBI Prokaryotic Genome Annotation Pipeline

Database resources of the National Center for Biotechnology Information

VADR: validation and annotation of virus sequence submissions to GenBank

RefSeq and the prokaryotic genome annotation pipeline in the age of metagenomes

Genome-resolved metagenomics using environmental and clinical samples

A model industrial workhorse: Bacillus subtilis strain 168 and its genome after a quarter of a century

Comparative Genomics of Xylella fastidiosa Explores Candidate Host-Specificity Determinants and Expands the Known Repertoire of Mobile Genetic Elements and Immunity Systems

Within-Host Microevolution of Pseudomonas aeruginosa Urinary Isolates: A Seven-Patient Longitudinal Genomic and Phenotypic Study

Comparative Genomic Analysis Determines the Functional Genes Related to Bile Salt Resistance in Lactobacillus salivarius

De-novo Assembly of Limnospira fusiformis Using Ultra-Long Reads

Complete Genome Sequence, Genome Stability and Phylogeny of the Vaccine Strain Mycobacterium bovis BCG SL222 Sofia


FUND - Climate Framework for Uncertainty, Negotiation and Distribution

Economic Impact of Energy Consumption Change Caused by Global Warming

Social Cost of Carbon: What Do the Numbers Really Mean?


A curated list of awesome Human-AI Interaction

What is AI Literacy? Competencies and Design Considerations

PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20)

A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy

Ensembles of Deep LSTM Learners for Activity Recognition using Wearables

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design

LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks

Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI

ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models

Multimodal Deep Learning for Activity and Context Recognition

CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization

IEEE transactions on visualization and computer graphics

Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models


A smaller subset of 10 easily classified classes from Imagenet, and a little more French

Erasing Concepts from Diffusion Models

Dataset Distillation using Neural Feature Regression

Circumventing Backdoor Defenses That Are Based on Latent Separability

Understanding and Mitigating Copying in Diffusion Models

Optimizing the energy consumption of spiking neural networks for neuromorphic applications

Training Deep Spiking Neural Networks

When Do Flat Minima Optimizers Work?

Transferability Estimation using Bhattacharyya Class Separability

πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization

Rethinking the Reverse-engineering of Trojan Triggers


A BioWDL pipeline for processing RNA-seq data, starting with FASTQ files to produce expression measures and VCFs. Category:Multi-Sample

Blood RNA signature RISK4LEP predicts leprosy years before clinical onset

Single-Cell Transcriptomics Analysis of Human Small Antral Follicles

International journal of molecular sciences

C/D box snoRNA SNORD113-6/AF357425 plays a dual role in integrin signalling and arterial fibroblast function via pre-mRNA processing and 2 ' O-ribose methylation


Filters for false-positive mutation calls in NGS

The use of technical replication for detection of low-level somatic mutations in next-generation sequencing

Molecular landscape and subtype-specific therapeutic response of nasopharyngeal carcinoma revealed by integrative pharmacogenomics

Mapping molecular subtype specific alterations in breast cancer brain metastases identifies clinically relevant vulnerabilities

Evolutionary Trajectories and Genomic Divergence in Localized Breast Cancers after Ipsilateral Breast Tumor Recurrence


Prosodic: a metrical-phonological parser, written in Python. For English and Finnish, with flexible language support.

Relative contributions of Shakespeare and Fletcher in Henry VIII: An Analysis Based on Most Frequent Words and Most Frequent Rhythmic Patterns

ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language Models

Semantics of European poetry is shaped by conservative forces: The relationship between poetic meter and meaning in accentual-syllabic verse


MetaPhlAn is a computational tool for profiling the composition of microbial communities from metagenomic shotgun sequencing data

Microbiome connections with host metabolism and habitual diet from 1,098 deeply phenotyped individuals

Extending and improving metagenomic taxonomic profiling with uncharacterized species using MetaPhlAn 4

The person-to-person transmission landscape of the gut and oral microbiomes

Variability of strain engraftment and predictability of microbiome composition after fecal microbiota transplantation across different diseases

Associations of the intestinal microbiome with the complement system in neovascular age-related macular degeneration

Comparing Circadian Rhythmicity in the Human Gut Microbiome

Bioinformatic approaches for studying the microbiome of fermented food

Whole-Genome Sequencing Analysis to Identify Infection with Multiple Species of Nontuberculous Mycobacteria

Longitudinal multi-omics analysis of host microbiome architecture and immune responses during short-term spaceflight

Isolation of Elizabethkingia anophelis From COVID-19 Swab Kits


:microscope: Assemble large genomes using short reads

ABySS 2.0: resource-efficient assembly of large genomes using a Bloom filter

Cas13-induced cellular dormancy prevents the rise of CRISPR-resistant bacteriophage

Konnector v2.0: pseudo-long reads from paired-end sequencing data

Population Genomic Approaches for Weed Science

ntLink: a toolkit for de novo genome assembly scaffolding and mapping using long reads

Activation of DNA Transposons and Evolution of piRNA Genes Through Interspecific Hybridization in Xenopus Frogs

FrangiPANe, a tool for creating a panreference using left behind reads

DNA glycosylases provide antiviral defence in prokaryotes

The role of Xpert MTB/RIF using bronchoalveolar lavage fluid in active screening: insights from a tuberculosis outbreak in a junior school in eastern China

Draft genome sequencing and assembly of Risso's dolphin, Grampus griseus


Parsing Expression Grammar Template Library

Syntax error recovery in parsing expression grammars

Automatic Syntax Error Reporting and Recovery in Parsing Expression Grammars


Damn Vulnerable Web Application (DVWA)

CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment

Scalable Learning of Intrusion Responses through Recursive Decomposition

Conjectural Online Learning with First-order Beliefs in Asymmetric
  Information Stochastic Games

Vulnerable web application framework

IT Intrusion Detection Using Statistical Learning and Testbed
  Measurements

Intrusion Tolerance for Networked Systems through Two-Level Feedback
  Control


Fast numerical array expression evaluator for Python, NumPy, Pandas, PyTables and more

Faster Independent Component Analysis by Preconditioning With Hessian Approximations

High performance Python for direct numerical simulations of turbulent flows

HOPE: A Python Just-In-Time compiler for astrophysical computations

Simple, parallel virtual machines for extreme computations

Accelerated modeling of near and far-field diffraction for coronagraphic optical systems

Space Telescopes and Instrumentation 2018: Optical, Infrared, and Millimeter Wave

Toward Efficient Interactions between Python and Native Libraries

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21)

Functional Decomposition: A new method for search and limit setting

Massively parallel implementation in Python of a pseudo-spectral DNS code for turbulent flows

Quantifying the Location Error of Precipitation Nowcasts


Hyperledger Fabric SDK for Node https://wiki.hyperledger.org/display/fabric

Energy Crowdsourcing and Peer-to-Peer Energy Trading in Blockchain-Enabled Smart Grids

Integrating Edge Intelligence and Blockchain: What, Why, and How

IEEE Communications Surveys and Tutorials

Ledgerdata Refiner: A Powerful Ledger Data Query Platform for Hyperledger Fabric

Blockchain Regulated Verifiable and Automatic Key Refreshment Mechanism for IoT

Fabric-GC: A Blockchain-based Gantt Chart System for Cross-organizational Project Management


a collection of functions that measure the readability of a given body of text

Data-Driven Sentence Simplification: Survey and Benchmark

International Conference on Computational Logic

Dynamic Multi-Level Multi-Task Learning for Sentence Simplification

Flesch-Kincaid is Not a Text Simplification Evaluation Metric

WikiSum: Coherent Summarization Dataset for Efficient Human-Evaluation

A Semi-Supervised Approach for Low-Resourced Text Generation

Multitask Models for Controlling the Complexity of Neural Machine Translation

Proceedings of the The Fourth Widening Natural Language Processing Workshop


Constrained Policy Optimization

Benchmarking Deep Reinforcement Learning for Continuous Control

Constrained Policy Optimization

Constrained Markov Decision Processes via Backward Value Functions

Learning Barrier Certificates: Towards Safe Reinforcement Learning with Zero Training-time Violations

Accelerating Safe Reinforcement Learning with Constraint-mismatched Policies

Model-based Safe Deep Reinforcement Learning via a Constrained Proximal Policy Optimization Algorithm

First Order Optimization in Policy Space for Constrained Deep Reinforcement Learning.

Reconnaissance and Planning algorithm for constrained MDP


[ICML 2024] Let Go of Your Labels with Unsupervised Transfer

Learning Transferable Visual Models From Natural Language Supervision

MIM-Refiner: A Contrastive Learning Boost from Intermediate Pre-Trained
  Representations


Deep-COVID: Predicting COVID-19 from chest X-ray images using deep transfer learning

Classification of COVID-19 X-ray images using transfer learning with visual geometrical groups and novel sequential convolutional neural networks

Multi‐texture features and optimized DeepNet for COVID‐19 detection using chest x‐ray images

Concurrency and computation : practice & experience

A Systematic Review on Deep Structured Learning for COVID-19 Screening Using Chest CT from 2020 to 2022

COVID-19 identification in chest X-ray images using intelligent multi-level classification scenario

Computers & electrical engineering : an international journal

A Histogram-Based Low-Complexity Approach for the Effective Detection of COVID-19 Disease from CT and X-ray Images

Boosting automatic COVID-19 detection performance with self-supervised learning and batch knowledge ensembling

Jaya‐tunicate swarm algorithm based generative adversarial network for COVID‐19 prediction with chest computed tomography images

Unsupervised Deep learning-based Feature Fusion Approach for Detection and Analysis of COVID-19 using X-ray and CT Images


A Survey on Deep Learning for Named Entity Recognition

Cross-type Biomedical Named Entity Recognition with Deep Multi-Task Learning

A neural network multi-task learning approach to biomedical named entity recognition

Cross-Domain NER using Cross-Domain Language Modeling

Multitask learning for biomedical named entity recognition with cross-sharing structure

A Multi-Task Approach for Improving Biomedical Named Entity Recognition by Incorporating Multi-Granularity information

Dataset-aware multi-task learning approaches for biomedical named entity recognition

PharmKE: Knowledge Extraction Platform for Pharmaceutical Texts Using Transfer Learning

A Comparison between Named Entity Recognition Models in the Biomedical Domain

Proceedings of the Translation and Interpreting Technology Online Conference TRITON 2021

Biomedical named entity recognition based on fusion multi-features embedding

Technology and health care : official journal of the European Society for Engineering and Medicine


Compressive Autoencoder.

Lossy Image Compression with Compressive Autoencoders

Variable Rate Image Compression with Recurrent Neural Networks

Learning sparse auto-encoders for green AI image coding


Repository containing code for the WWW 2021 paper on empathic rewriting

Human–AI collaboration enables more empathic conversations in text-based peer-to-peer mental health support

Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach

VERVE: Template-based ReflectiVE Rewriting for MotiVational IntErviewing


Code for Editing Factual Knowledge in Language Models

Fast Model Editing at Scale

Plug-and-Play Adaptation for Continuously-updated QA

Boosting Natural Language Generation from Instructions with Meta-Learning


Official code for ICML 2022: Mitigating Neural Network Overconfidence with Logit Normalization

Open-set Label Noise Can Improve Robustness Against Inherent Label Noise

Open-Sampling: Exploring Out-of-Distribution data for Re-balancing Long-tailed datasets

Diffusion Denoised Smoothing for Certified and Adversarial Robust Out-Of-Distribution Detection


Active Learning for Convolutional Neural Networks: A Core-Set Approach

Learning Loss for Active Learning

Variational Adversarial Active Learning

Sequential Graph Convolutional Network for Active Learning

Learning Objective-Specific Active Learning Strategies with Attentive Neural Processes


DeepWeeds: A Multiclass Weed Species Image Dataset for Deep Learning

A Survey of Deep Learning Techniques for Weed Detection from Images

Deep learning techniques for in-crop weed recognition in large-scale grain production systems: a review

Weed recognition using deep learning techniques on class-imbalanced imagery

Testing the Suitability of Automated Machine Learning for Weeds Identification

WeedNet-R: a sugar beet field weed detection algorithm based on enhanced RetinaNet and context semantic fusion

Multi-Class Weed Recognition Using Hybrid CNN-SVM Classifier

A High-Performance Computing Cluster for Distributed Deep Learning: A Practical Case of Weed Classification Using Convolutional Neural Network Models


Train bilingual embeddings as described in our NAACL 2015 workshop paper "Bilingual Word Representations with Monolingual Quality in Mind". Besides, it has all the functionalities of word2vec with added features and code clarity. See README for more info.

GLUECoS : An Evaluation Benchmark for Code-Switched NLP

Analyzing the Limitations of Cross-lingual Word Embedding Mappings

Word Embeddings for Code-Mixed Language Processing

Empirical Methods in Natural Language Processing

Modeling Code-Switch Languages Using Bilingual Parallel Corpus

Meeting of the Association for Computational Linguistics

Fully Unsupervised Crosslingual Semantic Textual Similarity Metric Based on BERT for Identifying Parallel Data

Conference on Computational Natural Language Learning

Variable Mini-Batch Sizing and Pre-Trained Embeddings

Proceedings of the Second Conference on Machine Translation

Unsupervised Joint Training of Bilingual Word Embeddings

Learning Contextualised Cross-lingual Word Embeddings and Alignments for Extremely Low-Resource Languages Using Parallel Corpora

Data Augmentation with Unsupervised Machine Translation Improves the Structural Similarity of Cross-lingual Word Embeddings

Learning to translate from graded and negative relevance information

International Conference on Computational Linguistics


Variational Autoencoder with Arbitrary Conditioning

Missing Data Imputation using Optimal Transport

Flow Models for Arbitrary Conditional Likelihoods

Using Shapley Values and Variational Autoencoders to Explain Predictive Models with Dependent Mixed Features

Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network

Conditional Generative Model Based Predicate-Aware Query Approximation

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE


This is a torchvision style CNN models collection based on pytorch.

Squeeze-and-Excitation Networks

CBAM: Convolutional Block Attention Module

CSPNet: A New Backbone that can Enhance Learning Capability of CNN


Authors' PyTorch implementation of lossy image compression methods based on hierarchical VAEs

Lossy Image Compression with Quantized Hierarchical VAEs

QARV: Quantization-Aware ResNet VAE for Lossy Image Compression

Theoretical Bound-Guided Hierarchical VAE for Neural Image Codecs


Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments

The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games

Is Independent Learning All You Need in the StarCraft Multi-Agent Challenge?

Trust Region Policy Optimisation in Multi-Agent Reinforcement Learning


Source codes for the paper "Learning Diverse Features with Part-Level Resolution for Person Re-Identification"

Unlabeled Samples Generated by GAN Improve the Person Re-identification Baseline in vitro

An Effective Adversarial Attack on Person Re-Identification in Video Surveillance via Dispersion Reduction


official implementation for our paper Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Planning to Go Out-of-Distribution in Offline-to-Online Reinforcement Learning

Offline Retraining for Online RL: Decoupled Policy Learning to Mitigate Exploration Bias


A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

Explaining and Harnessing Adversarial Examples

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Improving Back-Propagation by Adding an Adversarial Gradient


Source code of the KDD19 paper "Deep anomaly detection with deviation networks", weakly/partially supervised anomaly detection, few-shot anomaly detection, semi-supervised anomaly detection

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

Deep Anomaly Detection with Deviation Networks

DGraph: A Large-Scale Financial Dataset for Graph Anomaly Detection


Creative Commons Attribution Share Alike 4.0 International

Intonation-aided intention identification for Korean

Text Implicates Prosodic Ambiguity: A Corpus for Intention Identification of the Korean Spoken Language

Open Korean Corpora: A Practical Report

Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)

Investigating an Effective Character-level Embedding in Korean Sentence Classification

A Survey on Awesome Korean NLP Datasets


10x Genomics Linked-Read Alignment, Variant Calling, Phasing, and Structural Variant Calling

Benchmarking challenging small variants with linked and long reads

Genome sequence of Malania oleifera, a tree with great value for nervonic acid production

Improved contiguity of the threespine stickleback genome using long-read sequencing

A haplotype-resolved, de novo genome assembly for the wood tiger moth (Arctia plantaginis) through trio binning

Hap10: reconstructing accurate and long polyploid haplotypes using linked reads

A chromosome-level reference genome for the common octopus,Octopus vulgaris(Cuvier, 1797)

Low mutation rate in epaulette sharks is consistent with a slow rate of evolution in sharks

Mapping the Complex Genetic Landscape of Human Neurons

bioRxiv : the preprint server for biology

Gene disruption by structural mutations drives selection in US rice breeding over the last century

Mapping recurrent mosaic copy number variation in human neurons


Code for Weighted QMIX

QPLEX: Duplex Dueling Multi-Agent Q-Learning

Weighted QMIX: Expanding Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

Rethinking the Implementation Tricks and Monotonicity Constraint in Cooperative Multi-Agent Reinforcement Learning

Regularized Softmax Deep Multi-Agent Q-Learning

SHAQ: Incorporating Shapley Value Theory into Multi-Agent Q-Learning

NA^2Q: Neural Attention Additive Model for Interpretable Multi-Agent Q-Learning

RiskQ: Risk-sensitive Multi-Agent Reinforcement Learning Value Factorization


骆驼:A Chinese finetuned instruction LLaMA. Developed by 陈启源 @ 华中师范大学 & 李鲁鲁 @ 商汤科技 & 冷子昂 @ 商汤科技

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Phoenix: Democratizing ChatGPT across Languages

Chinese Open Instruction Generalist: A Preliminary Release

Datasets for Large Language Models: A Comprehensive Survey

OpenBA: An Open-sourced 15B Bilingual Asymmetric seq2seq Model Pre-trained from Scratch


Generative model for code infilling and synthesis

InCoder: A Generative Model for Code Infilling and Synthesis

Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review

Natural Language to Code Generation in Interactive Data Science Notebooks

A Simple, Yet Effective Approach to Finding Biases in Code Generation


hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations

hp-VPINNs: Variational physics-informed neural networks with domain decomposition

Computer Methods in Applied Mechanics and Engineering

Variational Physics-Informed Neural Networks For Solving Partial Differential Equations

FastVPINNs: Tensor-Driven Acceleration of VPINNs for Complex Geometries


Official implementation of GCAN model(ACL2020)

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

GCAN: Graph-aware Co-Attention Networks for Explainable Fake News Detection on Social Media

Fake news detection: A survey of graph neural network methods

STANKER: Stacking Network based on Level-grained Attention-masked BERT for Rumor Detection on Social Media

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

DUCK: Rumour Detection on Social Media by Modelling User and Comment Propagation Networks

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies


Lexical Simplification with Pretrained Encoders

LSBert: Lexical Simplification Based on BERT

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Lexical Simplification Benchmarks for English, Portuguese, and Spanish

LSBert: A Simple Framework for Lexical Simplification

ALEXSIS: A Dataset for Lexical Simplification in Spanish

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Text Simplification for Legal Domain: {I}nsights and Challenges

Proceedings of the Natural Legal Language Processing Workshop 2022

A Simple BERT-Based Approach for Lexical Simplification

MultiLS-SP/CA: Lexical Complexity Prediction and Lexical Simplification
  Resources for Catalan and Spanish


Reimplementation of a BERT based model (Shi et al, 2019), currently the state-of-the-art for English SRL. This model implements also predicate disambiguation.

Simple BERT Models for Relation Extraction and Semantic Role Labeling

Guiding Neural Story Generation with Reader Models

Who does what to whom? graph representations of action-predication in speech relate to psychopathological dimensions of psychosis

Story Shaping: Teaching Agents Human-like Behavior with Stories

Discovering collective narratives shifts in online discussions


TensorFlow implementation of "Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks" by Han Zhang, et al.

Improved Techniques for Training GANs

StackGAN: Text to Photo-realistic Image Synthesis with Stacked Generative Adversarial Networks

Generative Adversarial Text to Image Synthesis

Learning Deep Representations of Fine-grained Visual Descriptions


Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression (AAAI 2020)

YOLOv3: An Incremental Improvement

Enhancing Geometric Factors in Model Learning and Inference for Object Detection and Instance Segmentation


Source code for paper "Topic Modeling with Wasserstein Autoencoders".

Improving Neural Topic Models using Knowledge Distillation

TAN-NTM: Topic Attention Networks for Neural Topic Modeling

TA-BiLSTM: An Interpretable Topic-Aware Model for Misleading Information Detection in Mobile Social Networks

Towards Reinterpreting Neural Topic Models via Composite Activations

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing


TTT Code Release

Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Test-Time Training with Self-Supervision for Generalization under Distribution Shifts

Do CIFAR-10 Classifiers Generalize to CIFAR-10?

The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization

Test-Time Poisoning Attacks Against Test-Time Adaptation Models


Pytorch implementation of One-Shot Affordance Detection

One-Shot Object Affordance Detection in the Wild

One-Shot Affordance Detection

Phrase-Based Affordance Detection via Cyclic Bilateral Interaction


Implicit Geometric Regularization for Learning Shapes

Shape As Points: A Differentiable Poisson Solver

Going Off-Grid: Continuous Implicit Neural Representations for 3D Vascular Modeling

p-Poisson surface reconstruction in curl-free flow from point clouds


Correlation coefficients with uncertainties

The Physical Properties of Low-redshift FeLoBAL Quasars. I. Spectral-synthesis Analysis of the Broad Absorption-line (BAL) Outflows Using SimBAL

Multi-phase outflows in post starburst E+A galaxies -- I. General sample properties and the prevalence of obscured starbursts

The Bimodal Absorption System Imaging Campaign (BASIC). I. A Dual Population of Low-metallicity Absorbers at z < 1

Large Myr-old Disks Are Not Severely Depleted of Gas-phase CO or Carbon

12CO (3–2) High-Resolution Survey (COHRS) of the Galactic Plane: Complete Data Release

Quantifying the Escape of Lyα at z ≈ 5–6: A Census of Lyα Escape Fraction with Hα-emitting Galaxies Spectroscopically Confirmed by JWST and VLT/MUSE

The Astrophysical Journal Supplement Series

Radio continuum properties of OH megamaser galaxies

Monthly Notices of the Royal Astronomical Society

Quantifying the escape of Lyα at z≈ 5-6: a census of Lyα escape fraction with Hα emitting galaxies spectroscopically confirmed by JWST and VLT/MUSE

CON-quest. II. Spatially and spectrally resolved HCN/HCO+ line ratios in local luminous and ultraluminous infrared galaxies


DQN-Atari-Agents:   Modularized & Parallel PyTorch implementation of several DQN Agents, i.a. DDQN, Dueling DQN, Noisy DQN, C51, Rainbow, and DRQN

Dueling Network Architectures for Deep Reinforcement Learning

A Distributional Perspective on Reinforcement Learning

Noisy Networks for Exploration

Robot path planning using deep reinforcement learning


Provable adversarial robustness at ImageNet scale

Certified Adversarial Robustness via Randomized Smoothing

Provably Robust Deep Learning via Adversarially Trained Smoothed Classifiers

Certified Adversarial Robustness with Additive Noise

MACER: Attack-free and Scalable Robust Training via Maximizing Certified Radius

Tight Certificates of Adversarial Robustness for Randomly Smoothed Classifiers

Consistency Regularization for Certified Robustness of Smoothed Classifiers

Black-Box Certification with Randomized Smoothing: A Functional Optimization Based Framework

MaxUp: A Simple Way to Improve Generalization of Neural Network Training

SmoothMix: Training Confidence-calibrated Smoothed Classifiers for Certified Robustness

Adversarial Robustness with Non-uniform Perturbations


R pkg for Hierarchical Dirichlet Process

Patterns of somatic structural variation in human cancer genomes

Tobacco Exposure and Somatic Mutations in Normal Human Bronchial Epithelium

Somatic mutations and clonal dynamics in healthy and cirrhotic human liver

Somatic Evolution in Non-neoplastic IBD-Affected Colon

Classification and Personalized Prognostic Assessment on the Basis of Clinical and Genomic Features in Myelodysplastic Syndromes

Journal of clinical oncology : official journal of the American Society of Clinical Oncology

Timing the initiation of multiple myeloma

The mutational signature profile of known and suspected human carcinogens in mice

Detection of early seeding of Richter transformation in chronic lymphocytic leukemia

Copy number signatures predict chromothripsis and clinical outcomes in newly diagnosed multiple myeloma

A sex-informed approach to improve the personalised decision making process in myelodysplastic syndromes: a multicentre, observational cohort study


Random Number Generator NIST Test Suite framework for python 3.6 - SAILab - University of Siena

Pseudo Random Number Generation: a Reinforcement Learning approach

Pseudo Random Number Generation through Reinforcement Learning and Recurrent Neural Networks


Open source software for image feature extraction.

SciPy 1.0: fundamental algorithms for scientific computing in Python

A Simple Framework for Contrastive Learning of Visual Representations

PyWavelets: A Python package for wavelet analysis

Mahotas: Open source software for scriptable computer vision

Application of Higher Order Spectra to Identify Epileptic EEG

Comparison of Multiresolution Features for Texture Classification of Carotid Atherosclerosis From B-Mode Ultrasound

International Conference of the IEEE Engineering in Medicine and Biology Society

QuickQuakeBuildings: Post-earthquake SAR-Optical Dataset for Quick Damaged-building Detection


ReCO: A Large Scale Chinese Reading Comprehension Dataset on Opinion

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

RoBERTa: A Robustly Optimized BERT Pretraining Approach

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations


Code for EMNLP18 paper "Spherical Latent Spaces for Stable Variational Autoencoders"

Neural Variational Inference for Text Processing

Hyperspherical Variational Auto-Encoders

Generating Sentences by Editing Prototypes

vONTSS: vMF based semi-supervised neural topic modeling with optimal transport


Code for NeurIPS'19 "Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks"

Scalable Graph Neural Networks via Bidirectional Propagation

Sampling Methods for Efficient Training of Graph Convolutional Networks: A Survey

IGLU: Efficient GCN Training via Lazy Updates


A customizable framework to create maze and gridworld environments

A Review of Cooperative Multi-Agent Deep Reinforcement Learning

Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Function

Preprocessing Reward Functions for Interpretability


Code for the paper "VistaNet: Visual Aspect Attention Network for Multimodal Sentiment Analysis", AAAI'19

Cross-Modal Sentiment Sensing with Visual-Augmented Representation and Diverse Decision Fusion

VisdaNet: Visual Distillation and Attention Network for Multimodal Sentiment Classification

UsbVisdaNet: User Behavior Visual Distillation and Attention Network for Multimodal Sentiment Classification


GPU-specialized parameter server for GPU machine learning.

The Non-IID Data Quagmire of Decentralized Machine Learning

Machine Learning Systems for Highly-Distributed and Rapidly-Growing Data

MLtuner: System Support for Automatic Machine Learning Tuning


Soft Threshold Weight Reparameterization for Learnable Sparsity

To prune, or not to prune: exploring the efficacy of pruning for model compression

Discovering Neural Wirings

A Winning Hand: Compressing Deep Networks Can Improve Out-Of-Distribution Robustness

PDP: Parameter-free Differentiable Pruning is All You Need


NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization

Graph-based Semi-supervised Learning: A Comprehensive Review

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)

FREDE: Anytime Graph Embeddings

Adaptive Network Automata Modelling of Complex Networks


Neural Video Compression with Diverse Contexts

Adaptive Frequency Filters As Efficient Global Token Mixers

Active Token Mixer


The Attract-Repel algorithm presented in (Mrkšić et al., TACL 2017), with accompanying resources.

Semantic Specialisation of Distributional Word Vector Spaces using Monolingual and Cross-Lingual Constraints

Specialising Word Vectors for Lexical Entailment

Encoding Sentiment Information into Word Vectors for Sentiment Analysis

Cross-Lingual Induction and Transfer of Verb Classes Based on Word Vector Space Specialisation

Injecting Lexical Contrast into Word Vectors by Guiding Vector Space Specialisation

Reproducibility dataset for a large experimental survey on word embeddings and ontology-based methods for word similarity

Lexicon-Enhancement of Embedding-based Approaches Towards the Detection of Abusive Language

Workshop on Trolling, Aggression and Cyberbullying

Using pseudo-senses for improving the extraction of synonyms from word embeddings

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 2

RetroGAN: A Cyclic Post-Specialization System for Improving Out-of-Knowledge and Rare Word Representations

Meeting of the Association for Computational Linguistics

SenseFitting: Sense Level Semantic Specialization of Word Embeddings for Word Sense Disambiguation


Code for the paper "Adversarial Self-supervised Contrastive Learning" (NeurIPS 2020)

Adversarial Self-Supervised Contrastive Learning

Mind the box: l_1-APGD for sparse adversarial attacks on image classifiers

Adversarial Pretraining of Self-Supervised Deep Networks: Past, Present and Future

Effective Targeted Attacks for Adversarial Self-Supervised Learning

A Unified Membership Inference Method for Visual Self-supervised Encoder
  via Part-aware Capability


Utilities for community ecology analysis

Gene Expression Changes and Community Turnover Differentially Shape the Global Ocean Metatranscriptome

Functional and Structural Responses of Arctic and Alpine Soil Prokaryotic and Fungal Communities Under Freeze-Thaw Cycles of Different Frequencies

Diversity and distribution of marine heterotrophic bacteria from a large culture collection

A Temporally Dynamic Gut Microbiome in Atlantic Salmon During Freshwater Recirculating Aquaculture System (RAS) Production and Post-seawater Transfer

Chestnut Shell Tannins: Effects on Intestinal Inflammation and Dysbiosis in Zebrafish

Animals : an open access journal from MDPI

Host-Specificity and Core Taxa of Seagrass Leaf Microbiome Identified Across Tissue Age and Geographical Regions

Sex-Specific Differences in the Gut Microbiome in Response to Dietary Fiber Supplementation in IL-10-Deficient Mice

Spatial assortment of soil organisms supports the size-plasticity hypothesis

Deciphering the Assembly Processes of the Key Ecological Assemblages of Microbial Communities in Thirteen Full-Scale Wastewater Treatment Plants

Prokaryotic, Fungal, and Unicellular Eukaryotic Core Communities Across Three Sympatric Marine Sponges From the Southwestern Atlantic Coast Are Dominated Largely by Deterministic Assemblage Processes


CMUdict maintenance, and tools

MSTRE-Net: Multistreaming Acoustic Modeling for Automatic Lyrics Transcription

Challenging the Boundaries of Speech Recognition: The MALACH Corpus

Towards multilingual end-to-end speech recognition for air traffic control

When CTC Training Meets Acoustic Landmarks

Train & Constrain: Phonologically Informed Tongue-Twister Generation
  from Topics and Paraphrases

Mixed Orthographic/Phonemic Language Modeling: Beyond Orthographically Restricted Transformers (BORT)

Workshop on Representation Learning for NLP


Train Scene Graph Generation for Visual Genome and GQA in PyTorch >= 1.2 with improved zero and few-shot generalization.

Scene Graph Generation by Iterative Message Passing

Neural Motifs: Scene Graph Parsing with Global Context

Graph Density-Aware Losses for Novel Compositions in Scene Graph Generation

Generative Compositional Augmentations for Scene Graph Prediction

Zero-shot Scene Graph Generation via Triplet Calibration and Reduction

ACM Transactions on Multimedia Computing, Communications, and Applications


Zhuang Chen, Tieyun Qian: Relation-Aware Collaborative Learning for Unified Aspect-Based Sentiment Analysis. ACL 2020: 3685-3694

Structured Sentiment Analysis as Dependency Graph Parsing

YASO: A Targeted Sentiment Analysis Evaluation Dataset for Open-Domain Reviews


A python package to model Circular Economy policy and technological interventions in Environmentally Extended Input-Output Analysis starting from mrSUTs (EXIOBASE V3.3)


An other implementation of GRU4REC using PyTorch

Session-based Recommendations with Recurrent Neural Networks

Recurrent Neural Networks with Top-k Gains for Session-based Recommendations

International Conference on Information and Knowledge Management

Learning Post-Hoc Causal Explanations for Recommendation

Rethinking Cross-Domain Sequential Recommendation under Open-World Assumptions

The Effect of Third Party Implementations on Reproducibility

Proceedings of the 17th ACM Conference on Recommender Systems

Large Language Models meet Collaborative Filtering: An Efficient
  All-round LLM-based Recommender System

SLMRec: Empowering Small Language Models for Sequential Recommendation


Predicting tandem mass spectra from molecules

Efficiently predicting high resolution mass spectra with graph neural networks

Generating Molecular Fragmentation Graphs with Autoregressive Neural Networks

Prefix-Tree Decoding for Predicting Mass Spectra from Molecules

MassFormer: Tandem Mass Spectrum Prediction for Small Molecules using Graph Transformers


The implementation of the paper "Augmenting Neural Response Generation with Context-Aware Topical Attention"

Sequence to Sequence Learning with Neural Networks

Topic Aware Neural Response Generation

A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues

Low-Resource Knowledge-Grounded Dialogue Generation

Towards Best Experiment Design for Evaluating Dialogue System Output

Low-Resource Dialogue Summarization with Domain-Agnostic Multi-Source Pretraining

Studying the Effects of Cognitive Biases in Evaluation of Conversational Agents

Open Domain Dialogue Generation with Latent Images

A Simple and Efficient Multi-Task Learning Approach for Conditioned Dialogue Generation


Code for "Effective Dimensionality Reduction for Word Embeddings".

Simple and Effective Dimensionality Reduction for Word Embeddings

On Dimensional Linguistic Properties of the Word Embedding Space

EmbedTextNet: Dimension Reduction with Weighted Reconstruction and Correlation Losses for Efficient Text Embedding

Findings of the Association for Computational Linguistics: ACL 2023


Tools for bam file processing

biobambam: tools for read pair collation based algorithms on BAM files

A comprehensive characterization of cis-acting splicing-associated variants in human cancer

The Scramble conversion tool

Precise characterization of somatic complex structural variations from tumor/control paired long-read sequencing data with nanomonsv

Copy number variation underlies complex phenotypes in domestic dog breeds and other canids

Association of mutation signature effectuating processes with mutation hotspots in driver genes and non-coding regions

Cellular and molecular architecture of hematopoietic stem cells and progenitors in genetic models of bone marrow failure

Gene-based whole genome sequencing meta-analysis of 250 circulating proteins in three isolated European populations


A neural network for monocular spacecraft 6D pose estimation: 3rd place solution of the European Space Agency’s pose estimation challenge

Deep Learning for Spacecraft Pose Estimation from Photorealistic Rendering

A Survey on Deep Learning-Based Monocular Spacecraft Pose Estimation: Current State, Limitations and Prospects

Spacecraft Homography Pose Estimation with Single-Stage Deep Convolutional Neural Network


IdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their job by simply looking at an image, just like humans can do.

Deep Residual Learning for Image Recognition

Datasheets for Datasets

Evaluating the Fairness of Discriminative Foundation Models in Computer Vision

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society


Image super-resolution through deep learning

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Pixel Recursive Super Resolution

Super-Resolution for Overhead Imagery Using DenseNets and Adversarial Learning

Generator From Edges: Reconstruction of Facial Images


Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"

Generating Benchmarks for Factuality Evaluation of Language Models

HALC: Object Hallucination Reduction via Adaptive Focal-Contrast
  Decoding

Deficiency of Large Language Models in Finance: An Empirical Examination of Hallucination

Is Factuality Decoding a Free Lunch for LLMs? Evaluation on Knowledge
  Editing Benchmark

Mitigating Hallucinations in Large Language Models via
  Self-Refinement-Enhanced Knowledge Retrieval

Collaborative decoding of critical tokens for boosting factuality of
  large language models


Entity Disambiguation as text extraction (ACL 2022)

ExtEnD: Extractive Entity Disambiguation

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

How can voting mechanisms improve the robustness and generalizability of toponym disambiguation?

Entity Disambiguation with Entity Definitions


My implementation of the transformer architecture from the Attention is All you need paper applied to time series.

Attention Is All You Need

Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case

Large Scale Legal Text Classification Using Transformer Models

Sequence Length is a Domain: Length-based Overfitting in Transformer Models

Team Alex at CLEF CheckThat! 2020: Identifying Check-Worthy Tweets With Transformer Models

Something Old, Something New: Grammar-based CCG Parsing with Transformer Models

Transformer Models for Text Coherence Assessment

Context-based Transformer Models for Answer Sentence Selection

IrEne-viz: Visualizing Energy Consumption of Transformer Models

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing: System Demonstrations


Differentially Private Optimization for PyTorch  ♀

Deep Learning with Differential Privacy

Conference on Computer and Communications Security

A General Approach to Adding Differential Privacy to Iterative Training Procedures

Bypassing the Ambient Dimension: Private SGD with Gradient Subspace Identification

Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization

Kamino: Constraint-Aware Differentially Private Data Synthesis

The Role of Adaptive Optimizers for Honest Private Hyperparameter Selection

Private Stochastic Non-Convex Optimization: Adaptive Algorithms and Tighter Generalization Bounds

Privacy-Preserving Models for Legal Natural Language Processing

Federated Quantum Machine Learning with Differential Privacy

d3p - A Python Package for Differentially-Private Probabilistic Programming


ERNIE-Doc: A Retrospective Long-Document Modeling Transformer

Capturing Global Informativeness in Open Domain Keyphrase Extraction

A Survey on Recent Advances in Keyphrase Extraction from Pre-trained Language Models

Findings of the Association for Computational Linguistics: EACL 2023

Multi-Document Keyphrase Extraction: Dataset, Baselines and Review


Artificial Intelligence Distinguishes COVID-19 from Community Acquired Pneumonia on Chest CT

Using Artificial Intelligence to Detect COVID-19 and Community-acquired Pneumonia Based on Pulmonary CT: Evaluation of the Diagnostic Accuracy

COVID-19 Control by Computer Vision Approaches: A Survey

IEEE access : practical innovations, open solutions

Computer Vision For COVID-19 Control: A Survey

Diagnosis of COVID-19 Using Machine Learning and Deep Learning: A Review

Any unique image biomarkers associated with COVID-19?

Improving Automated COVID-19 Grading with Convolutional Neural Networks in Computed Tomography Scans: An Ablation Study


3D-RetinaNet a baseline models on ROAD dataset

Online Real-time Multiple Spatiotemporal Action Localisation and Prediction

ROAD: The Road Event Awareness Dataset for Autonomous Driving

ROAD-R: The Autonomous Driving Dataset with Logical Requirements


This repository reproduces the results of the paper: "Fixing the train-test resolution discrepancy" https://arxiv.org/abs/1906.06423

Measuring Robustness to Natural Distribution Shifts in Image Classification

Avoiding Overfitting: A Survey on Regularization Methods for Convolutional Neural Networks

Fixing the train-test resolution discrepancy: FixEfficientNet


A simple and accurate method to fool deep neural networks

DeepFool: a simple and accurate method to fool deep neural networks

Detecting Adversarial Image Examples in Deep Neural Networks with Adaptive Noise Reduction

IEEE Transactions on Dependable and Secure Computing

Deep Defense: Training DNNs with Improved Adversarial Robustness

EdgeFool: An Adversarial Image Enhancement Filter

Robustness via Deep Low-Rank Representations

Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them

Harmonic Adversarial Attack Method

Employing Deep Ensemble Learning for Improving the Security of Computer Networks Against Adversarial Attacks

Defending against Adversarial Attacks through Resilient Feature Regeneration.


An Energy Information Administration (EIA) API python client for researchers who just need data.


Paper implementations from scratch and machine learning tutorials

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Language Models are Unsupervised Multitask Learners

mixup: Beyond Empirical Risk Minimization

Axiomatic Attribution for Deep Networks

Emerging Properties in Self-Supervised Vision Transformers

The Lottery Ticket Hypothesis: Finding Sparse, Trainable Neural Networks

MLP-Mixer: An all-MLP Architecture for Vision

Implicit Neural Representations with Periodic Activation Functions

Manifold Mixup: Better Representations by Interpolating Hidden States

Differentiable Augmentation for Data-Efficient GAN Training


Randomized online matrix factorization

Dictionary Learning for Massive Matrix Factorization

Learning Neural Representations of Human Cognition across Many fMRI Studies

Stochastic Subsampling for Factorizing Huge Matrices

Subsampled online matrix factorization with convergence guarantees


Full-gradient saliency maps

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

International Journal of Computer Vision

Deep Inside Convolutional Networks: Visualising Image Classification Models and Saliency Maps

SmoothGrad: removing noise by adding noise

Full-Gradient Representation for Neural Network Visualization

Gradient-based Uncertainty Attribution for Explainable Bayesian Deep Learning

Generating Attribution Maps with Disentangled Masked Backpropagation

IEEE International Conference on Computer Vision


Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains

Characterizing possible failure modes in physics-informed neural networks

Respecting causality is all you need for training physics-informed neural networks

An Expert's Guide to Training Physics-informed Neural Networks

PirateNets: Physics-informed Deep Learning with Residual Adaptive
  Networks

Random Weight Factorization Improves the Training of Continuous Neural Representations


Non-compulsory measures sufficiently reduced human mobility in Tokyo during the COVID-19 epidemic

Analysis of COVID-19 in Japan with extended SEIR model and ensemble Kalman filter

Analysis of COVID-19 Spread in Tokyo through an Agent-Based Model with Data Assimilation

Agent-based model and data assimilation: Analysis of COVID-19 in Tokyo


Task generation for testing text understanding and reasoning

End-To-End Memory Networks

Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

End-to-End Offline Goal-Oriented Dialog Policy Learning via Policy Gradient

BABILong: Testing the Limits of LLMs with Long Context
  Reasoning-in-a-Haystack

Learning to Organize Knowledge with N-Gram Machines

Learning to Organize Knowledge and Answer Questions with N-Gram Machines


finetune with keras

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Distilling the Knowledge in a Neural Network

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

TinyBERT: Distilling BERT for Natural Language Understanding


A computational tool (H-MAGMA) for improved prediction of brain-disorder risk genes by incorporating brain chromatin interaction profiles

Multivariate analysis of 1.5 million people identifies genetic associations with traits related to self-regulation and addiction

Genome-wide association study of problematic opioid prescription use in 132,113 23andMe research participants of European ancestry

Cell type-specific and cross-population polygenic risk score analyses of MIR137 gene pathway in schizophrenia

3D genome organization links non-coding disease-associated variants to genes

Frontiers in cell and developmental biology

Connecting gene regulatory relationships to neurobiological mechanisms of brain disorders

Limited Association between Schizophrenia Genetic Risk Factors and Transcriptomic Features

Neurogenetic and multi-omic sources of overlap among sensation seeking, alcohol consumption, and alcohol use disorder

medRxiv : the preprint server for health sciences

MULTI-ANCESTRY META-ANALYSIS OF TOBACCO USE DISORDERS PRIORITIZES NOVEL CANDIDATE RISK GENES AND REVEALS ASSOCIATIONS WITH NUMEROUS HEALTH OUTCOMES


SNIP: Single-shot Network Pruning based on Connection Sensitivity

Pruning neural networks without any data by iteratively conserving synaptic flow

Picking Winning Tickets Before Training by Preserving Gradient Flow

Pruning Neural Networks at Initialization: Why are We Missing the Mark?

Prospect Pruning: Finding Trainable Weights at Initialization using Meta-Gradients

A Survey on Deep Neural Network Pruning-Taxonomy, Comparison, Analysis, and Recommendations

FreezeNet: Full Performance by Reduced Storage Costs

Structured Pruning is All You Need for Pruning CNNs at Initialization

NTK-SAP: Improving neural network pruning by aligning training dynamics

Dense for the Price of Sparse: Improved Performance of Sparsely Initialized Networks via a Subspace Offset


Python tools to recover precise rotation profiles of disks.

Meridional flows in the disk around a young star

Spiral arms in the protoplanetary disc HD100453 detected with ALMA: evidence for binary–disc interaction and a vertical temperature gradient

Monthly notices of the Royal Astronomical Society

Evidence for a Vertical Dependence on the Pressure Structure in AS 209

Spiral Structure in the Gas Disk of TW Hya

eddy: Extracting Protoplanetary Disk Dynamics with Python

Mapping the 3D Kinematical Structure of the Gas Disk of HD 169142

Observability of the vertical shear instability in protoplanetary disk CO kinematics

A kinematic excess in the annular gap and gas depleted cavity in the disc around HD 169142

Kinematic Structures in Planet-Forming Disks

Observational signatures of circumbinary discs – I. Kinematics


A solver for temporal programs.

Temporal Answer Set Programming on Finite Traces

Linear-Time Temporal Answer Set Programming

Theory and Practice of Logic Programming

Implementing Dynamic Answer Set Programming

Temporal Answer Set Programming

LPOP: Challenges and Advances in Logic and Practice of Programming


Sample Efficiency Matters: A Benchmark for Practical Molecular Optimization

Exploring Chemical Space with Score-based Out-of-distribution Generation

Reinforced Genetic Algorithm for Structure-based Drug Design

Enhancing Sample Efficiency in Black-box Combinatorial Optimization via Symmetric Replay Training

Drug Discovery with Dynamic Goal-aware Fragments


Python learning to rank (LTR) toolkit

Snakes on a Spaceship—An Overview of Python in Heliophysics

Journal of Geophysical Research: Space Physics

Modeling the Relationship between User Comments and Edits in Document Revision

Empirical Methods in Natural Language Processing

L2P: Learning to Place for Estimating Heavy-Tailed Distributed Outcomes

Replicating Relevance-Ranked Synonym Discovery in a New Language and Domain

Author-topic profiles for academic search

trie-nlg: trie context augmentation to improve personalized query auto-completion for short and unseen prefixes


Comparative validation of multi-instance instrument segmentation in endoscopy: Results of the ROBUST-MIS 2019 challenge

Robust deep learning-based semantic organ segmentation in hyperspectral images

Heidelberg Colorectal Data Set for Surgical Data Science in the Sensor Operating Room

Rapid Artificial Intelligence Solutions in a Pandemic - The COVID-19-20 Lung CT Lesion Segmentation Challenge

Segmenting functional tissue units across human organs using community-driven development of generalizable machine learning algorithms

bioRxiv : the preprint server for biology

Methods and open-source toolkit for analyzing and visualizing challenge results


A workflow to allow Freesurfer recon-all to run on brain image with gliomas

Virtual brain grafting: Enabling whole brain parcellation in the presence of large lesions

Early white matter connectivity and plasticity in post stroke aphasia recovery

Tracking the Corticospinal Tract in Patients With High-Grade Glioma: Clinical Evaluation of Multi-Level Fiber Tracking and Comparison to Conventional Deterministic Approaches

Comparative validation of automated presurgical tractography based on constrained spherical deconvolution and diffusion tensor imaging with direct electrical stimulation

A comparison of diffusion MRI presurgical tractography techniques with intraoperative mapping-based validation