active learning for accelerated high-throughput virtual screening

Accelerating high-throughput virtual screening through molecular pool-based active learning

Self-focusing virtual screening with active design space pruning

Artificial Intelligence in Material Engineering: A Review on Applications of Artificial Intelligence in Material Engineering

Pareto Optimization to Accelerate Multi-Objective Virtual Screening


PoSeiDon: positive selection detection and recombination analysis pipeline

Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research

Evolution and Antiviral Specificities of Interferon-Induced Mx Proteins of Bats against Ebola, Influenza, and Other RNA Viruses

PoSeiDon: a Nextflow pipeline for the detection of evolutionary recombination events and positive selection

Determining the International Spread of B.1.1.523 SARS-CoV-2 Lineage with a Set of Mutations Highly Associated with Reduced Immune Neutralization

Determining international spread of novel B.1.1.523 SARS-CoV-2 lineage


Multi-hop dense retrieval for question answering

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Answering Complex Open-Domain Questions with Multi-Hop Dense Retrieval

Reasoning over Public and Private Data in Retrieval-Based Systems

Performance Prediction for Multi-hop Questions


Deep Clustering for Unsupervised Learning of Visual Features

Understanding Neural Networks Through Deep Visualization

Unsupervised Pre-Training of Image Features on Non-Curated Data

Self-Supervised Relational Reasoning for Representation Learning

Learning as the unsupervised alignment of conceptual systems

Improving out-of-distribution generalization via multi-task self-supervised pretraining

Leveraging Large-Scale Uncurated Data for Unsupervised Pre-training of Visual Features

A Survey on Self-Supervised Representation Learning

Discriminative clustering with representation learning with any ratio of labeled to unlabeled data


Estimate metagenomic coverage and sequence diversity

Nonpareil: a redundancy-based approach to assess the level of coverage in metagenomic datasets

Nonpareil 3: Fast Estimation of Metagenomic Coverage and Sequence Diversity

Estimating coverage in metagenomic data sets and why it matters


A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Pyramid Scene Parsing Network

Rethinking Atrous Convolution for Semantic Image Segmentation

Dual Attention Network for Scene Segmentation

Deep High-Resolution Representation Learning for Visual Recognition

Fully Convolutional Networks for Semantic Segmentation

OCNet: Object Context Network for Scene Parsing

Hierarchical Multi-Scale Attention for Semantic Segmentation

ACFNet: Attentional Class Feature Network for Semantic Segmentation

Co-Occurrent Features in Semantic Segmentation


A tool to identify, orient, trim and rescue full length cDNA reads

Construction of a chromosome-scale long-read reference genome assembly for potato

Single-cell RNA-seq analysis of mouse preimplantation embryos by third-generation sequencing

Single-cell multi-omics in the medicinal plant Catharanthus roseus

RUNX1 isoform disequilibrium promotes the development of trisomy 21-associated myeloid leukemia

The Human Adenovirus 2 Transcriptome: an Amazing Complexity of Alternatively Spliced mRNAs

Detection of structural variations and fusion genes in breast cancer samples using third-generation sequencing

Chromosome-Level Genome Assembly of the Asian Red-Tail Catfish (Hemibagrus wyckioides)

Cochlear transcript diversity and its role in auditory functions implied by an otoferlin short isoform

A novel transposable element-mediated mechanism causes antiviral resistance in Drosophila through truncating the Veneno protein

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

Integrative Analysis of Nanopore and Illumina Sequencing Reveals Alternative Splicing Complexity in Pig Longissimus Dorsi Muscle


A comprehensive, unified and modular event extraction toolkit.

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

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

KoLA: Carefully Benchmarking World Knowledge of Large Language Models

The Devil is in the Details: On the Pitfalls of Event Extraction Evaluation

OmniEvent: A Comprehensive, Fair, and Easy-to-Use Toolkit for Event Understanding

CorefPrompt: Prompt-based Event Coreference Resolution by Measuring Event Type and Argument Compatibilities


The Graph-Cut RANSAC algorithm proposed in paper: Daniel Barath and Jiri Matas; Graph-Cut RANSAC, Conference on Computer Vision and Pattern Recognition, 2018. It is available at http://openaccess.thecvf.com/content_cvpr_2018/papers/Barath_Graph-Cut_RANSAC_CVPR_2018_paper.pdf

Image Matching Across Wide Baselines: From Paper to Practice

International Journal of Computer Vision

Graph-Cut RANSAC

MAGSAC++, a fast, reliable and accurate robust estimator

EPOS: Estimating 6D Pose of Objects with Symmetries

Progressive-X: Efficient, Anytime, Multi-Model Fitting Algorithm

Five-point Fundamental Matrix Estimation for Uncalibrated Cameras

Graph-Cut RANSAC: Local Optimization on Spatially Coherent Structures

IEEE transactions on pattern analysis and machine intelligence

Homography from two orientation- and scale-covariant features

RANSAC for Robotic Applications: A Survey

VSAC: Efficient and Accurate Estimator for H and F


JAFFA is a multi-step pipeline that takes either raw RNA-Seq reads, or pre-assembled transcripts, then searches for gene fusions

JAFFA: High sensitivity transcriptome-focused fusion gene detection

Discovering and understanding oncogenic gene fusions through data intensive computational approaches

Comparative assessment of methods for the fusion transcripts detection from RNA-Seq data

JAFFAL: detecting fusion genes with long-read transcriptome sequencing

FuSpot: a web-based tool for visual evaluation of fusion candidates

CTAT-LR-fusion: accurate fusion transcript identification from long and short read isoform sequencing at bulk or single cell resolution

bioRxiv : the preprint server for biology


AutoPrompt: Automatic Prompt Construction for Masked Language Models.

AutoPrompt: Eliciting Knowledge from Language Models with Automatically Generated Prompts

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

Reordering Examples Helps during Priming-based Few-Shot Learning

Evaluating the Robustness of Discrete Prompts

PromptAttack: Prompt-based Attack for Language Models via Gradient Search


Implementation of the Jubjub elliptic curve group

Citadel: Self-Sovereign Identities on Dusk Network

LinkDID: A Privacy-Preserving, Sybil-Resistant and Key-Recoverable Decentralized Identity Scheme


[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering

DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

DriveMLM: Aligning Multi-Modal Large Language Models with Behavioral Planning States for Autonomous Driving

NuScenes-QA: A Multi-modal Visual Question Answering Benchmark for Autonomous Driving Scenario

Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Large Language Models

LMDrive: Closed-Loop End-to-End Driving with Large Language Models

Language Prompt for Autonomous Driving

LiDAR-LLM: Exploring the Potential of Large Language Models for 3D LiDAR Understanding

Rank2Tell: A Multimodal Driving Dataset for Joint Importance Ranking and Reasoning

Dolphins: Multimodal Language Model for Driving


Neural end-to-end Speech Translation Toolkit

Attention Is All You Need

Pay Less Attention with Lightweight and Dynamic Convolutions

Towards Making the Most of BERT in Neural Machine Translation

NeurST: Neural Speech Translation Toolkit

Finding Sparse Structures for Domain Specific Neural Machine Translation

GigaST: A 10,000-hour Pseudo Speech Translation Corpus

The Volctrans Neural Speech Translation System for IWSLT 2021

Controlling Styles in Neural Machine Translation with Activation Prompt

End-to-End Speech-to-Text Translation: A Survey


Algorithms for computations on random manifolds made easier

Pulling back information geometry

Neural Optimal Transport with Lagrangian Costs

Laplacian Autoencoders for Learning Stochastic Representations

Laplacian Segmentation Networks Improve Epistemic Uncertainty Quantification

Identifying latent distances with Finslerian geometry

Implicit Variational Inference for High-Dimensional Posteriors


Improve the quality of a denovo assembly by scaffolding and gap filling

Robust high-throughput prokaryote de novo assembly and improvement pipeline for Illumina data

Genomic and transcriptomic evidence for descent from Plasmodium and loss of blood schizogony in Hepatocystis parasites from naturally infected red colobus monkeys

Contrasting approaches to genome-wide association studies impact the detection of resistance mechanisms in Staphylococcus aureus

Isolation and Characterisation of Bacteriophage Selective for Key Acinetobacter baumannii Capsule Chemotypes

Circulation of enterotoxigenic Escherichia coli (ETEC) isolates expressing CS23 from the environment to clinical settings


American Gut open-access data and IPython notebooks

Gut microbiota diversity across ethnicities in the United States

Diversity and Composition of the Adult Fecal Microbiome Associated with History of Cesarean Birth or Appendectomy: Analysis of the American Gut Project

MicrobiomeGWAS: A Tool for Identifying Host Genetic Variants Associated with Microbiome Composition

Extending species-area relationships (SAR) to diversity-area relationships (DAR)

The Microbiome and Metabolomic Profile of the Transplanted Intestine with Long-Term Function

MNEMONIC: MetageNomic Experiment Mining to create an OTU Network of Inhabitant Correlations

Estimating the Optimum Coverage and Quality of Amplicon Sequencing With Taylor’s Power Law Extensions

Frontiers in bioengineering and biotechnology


Speedy Cosmic Ray Annihilation Package in Python

The X-shooter GRB afterglow legacy sample (XS-GRB)

Hydrogen-rich supernovae beyond the neutrino-driven core-collapse paradigm

The Birth of a Relativistic Jet Following the Disruption of a Star by a Cosmological Black Hole

Zenodo (CERN European Organization for Nuclear Research)

The Prevalence and Influence of Circumstellar Material around Hydrogen-rich Supernova Progenitors

No Surviving Companion in Kepler's Supernova

Are All Post-starbursts Mergers? HST Reveals Hidden Disturbances in the Majority of PSBs

Analysis of Neptune's 2017 bright equatorial storm

Extremely late photometry of the nearby SN 2011fe

Monthly Notices of the Royal Astronomical Society

The Automated Photometry of Transients pipeline (AutoPhOT)

JWST/MIRI Simulated Imaging: Insights into Obscured Star Formation and AGNs for Distant Galaxies in Deep Surveys


Airborne LiDAR data manipulation and visualisation for forestry application

Snow depth mapping with unpiloted aerial system lidar observations: a case study in Durham, New Hampshire, United States

Classification of UAV point clouds by random forest machine learning algorithm

Assessment of Above-Ground Carbon Storage by Urban Trees Using LiDAR Data: The Case of a University Campus

Allergenic pollen production across a large city for common ragweed (Ambrosia artemisiifolia)

Improved Classification of Urban Trees Using a Widespread Multi-Temporal Aerial Image Dataset

Canopy cover of mangrove estimation based on airborne LIDAR & Landsat 8 OLI

IOP Conference Series: Earth and Environmental Science

AUTOMATIC BUILDING EXTRACTION FROM UAV-BASED IMAGES AND DSMs USING DEEP LEARNING

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences


wolfMQTT is a small, fast, portable MQTT client implementation, including support for TLS 1.3.

Combining BMC and Fuzzing Techniques for Finding Software Vulnerabilities in Concurrent Programs

BayesImposter: Bayesian Estimation Based .bss Imposter Attack on Industrial Control Systems

EBF: A Hybrid Verification Tool for Finding Software Vulnerabilities in IoT Cryptographic Protocols.


Africa open COVID-19 data working group

Covid-19: Open-Data Resources for Monitoring, Modeling, and Forecasting the Epidemic

Use of Available Data To Inform The COVID-19 Outbreak in South Africa: A Case Study

Open Data Resources for Fighting COVID-19


Omnidirectional Scene Text Detection with Sequential-free Box Discretization (IJCAI 2019). Including competition model, online demo, etc.

Text Detection and Recognition in the Wild: A Review

Exploring the Capacity of an Orderless Box Discretization Network for Multi-orientation Scene Text Detection


The codes and data of paper "Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning"

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

A comprehensive study of speed prediction in transportation system: From vehicle to traffic

Urban Regional Function Guided Traffic Flow Prediction


Proceedings of the 2022 XCSP3 Competition

Schur's theorem in integer lattices

Proceedings of the 2023 XCSP3 Competition

Towards the shortest DRAT proof of the Pigeonhole Principle


Ripser: efficient computation of Vietoris–Rips persistence barcodes

A roadmap for the computation of persistent homology

Toroidal topology of population activity in grid cells

Ripser.py: A Lean Persistent Homology Library for Python

Simplicial complexes and complex systems

Learning metrics for persistence-based summaries and applications for graph classification

Persistent homology of complex networks for dynamic state detection

Connectivity-Optimized Representation Learning via Persistent Homology

Persistent Homology Analysis for Materials Research and Persistent Homology Software: HomCloud

Computing Minimal Presentations and Bigraded Betti Numbers of 2-Parameter Persistent Homology

Decoding of neural data using cohomological feature extraction


[ ICCV 2021 Oral ] Our method can estimate camera poses and neural radiance fields jointly when the cameras are initialized at random poses in complex scenarios (outside-in scenes, even with less texture or intense noise )

NeRF++: Analyzing and Improving Neural Radiance Fields

BARF: Bundle-Adjusting Neural Radiance Fields

GNeRF: GAN-based Neural Radiance Field without Posed Camera

LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs

MELON: NeRF with Unposed Images in SO(3)


Progressive Growing of GANs for Improved Quality, Stability, and Variation

CNN-generated images are surprisingly easy to spot... for now

How good is my GAN?

GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models

Conference on Computer and Communications Security

Photographic Text-to-Image Synthesis with a Hierarchically-nested Adversarial Network

What makes fake images detectable? Understanding properties that generalize

The GAN Landscape: Losses, Architectures, Regularization, and Normalization

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

On Self Modulation for Generative Adversarial Networks

Synthesis of diagnostic quality cancer pathology images by generative adversarial networks


Slimmable Networks, AutoSlim, and Beyond, ICLR 2019, and ICCV 2019

Slimmable Neural Networks

Universally Slimmable Networks and Improved Training Techniques

AutoSlim: Towards One-Shot Architecture Search for Channel Numbers

Joslim: Joint Widths and Weights Optimization for Slimmable Neural Networks

Dynamic ConvNets on Tiny Devices via Nested Sparsity


Graph theory analysis of brain MRI data

Large-scale mapping of cortical alterations in 22q11.2 deletion syndrome: Convergence with idiopathic psychosis and effects of deletion size

Rich-club in the brain’s macrostructure: Insights from graph theoretical analysis

Computational and structural biotechnology journal

Graph theory analysis of DTI tractography in children with traumatic injury

Brain Connectivity and Information-Flow Breakdown Revealed by a Minimum Spanning Tree-Based Analysis of MRI Data in Behavioral Variant Frontotemporal Dementia

Identification of key regulators in prostate cancer from gene expression datasets of patients

Mapping brain structural differences and neuroreceptor correlates in Parkinson’s disease visual hallucinations: a mega-analysis

Early-life stress exposure and large-scale covariance brain networks in extremely preterm-born infants

Altered Brain Structural Networks in Patients with Brain Arteriovenous Malformations Located in Broca's Area

Abnormal resting-state functional connectome in methamphetamine-dependent patients and its application in machine-learning-based classification


Crosslingual Generalization through Multitask Finetuning

Instruction Tuning for Large Language Models: A Survey

Scaling Up Models and Data with  and

A Survey of Large Language Models for Healthcare: from Data, Technology, and Applications to Accountability and Ethics

M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection


Contrastive Multi-View Representation Learning on Graphs

Graph Self-Supervised Learning: A Survey

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive

From Canonical Correlation Analysis to Self-supervised Graph Neural Networks

Learning from Counterfactual Links for Link Prediction

Augmentations in Graph Contrastive Learning: Current Methodological Flaws & Towards Better Practices

Revisiting Graph Contrastive Learning from the Perspective of Graph Spectrum

SAIL: Self-Augmented Graph Contrastive Learning

Uncovering the Structural Fairness in Graph Contrastive Learning

State of the Art and Potentialities of Graph-level Learning


A tool for Racon polishing of miniasm assemblies

Yes, we can use it: a formal test on the accuracy of low-pass nanopore long-read sequencing for mitophylogenomics and barcoding research using the Caribbean spiny lobster Panulirus argus

Genetic manipulation of Patescibacteria provides mechanistic insights into microbial dark matter and the epibiotic lifestyle

Virotyping and genetic antimicrobial susceptibility testing of porcine ETEC/STEC strains and associated plasmid types

Prevalence and Molecular Characterization of Methicillin-Resistant Staphylococci (MRS) and Mammaliicocci (MRM) in Dromedary Camels from Algeria: First Detection of SCCmec-mecC Hybrid in Methicillin-Resistant Mammaliicoccus lentus

Adaptation of a fluoroquinolone-sensitive Shigella sonnei to norfloxacin exposure

Bifidobacterium longum subsp. longum BG-L47 boosts growth and activity of Limosilactobacillus reuteri DSM 17938 and its extracellular membrane vesicles

Exploring clonality and virulence gene associations in bloodstream infections using whole-genome sequencing and clinical data

Frontiers in cellular and infection microbiology


Adversarial Deepfakes: Evaluating Vulnerability of Deepfake Detectors to Adversarial Examples

Exposing Vulnerabilities of Deepfake Detection Systems with Robust Attacks

Adversarially Robust Deepfake Detection via Adversarial Feature Similarity Learning


Graph Neural Networks for Irregular Time Series

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Graph-Guided Network for Irregularly Sampled Multivariate Time Series

Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling

Time Series as Images: Vision Transformer for Irregularly Sampled Time Series

FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion

Blood Glucose Level Prediction: A Graph-based Explainable Method with Federated Learning

Modelling Irregularly Sampled Time Series Without Imputation


Graph-based and Transition-based dependency parsers based on BiLSTMs

Transition-Based Dependency Parsing with Stack Long Short-Term Memory

Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations

DyNet: The Dynamic Neural Network Toolkit

Neural End-to-End Learning for Computational Argumentation Mining

Learning to select data for transfer learning with Bayesian Optimization

On-the-fly Operation Batching in Dynamic Computation Graphs

A Sub-Character Architecture for Korean Language Processing

An empirical study for Vietnamese dependency parsing

Dependency Parsing for Urdu: Resources, Conversions and Learning

PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2020)

LSTM Easy-first Dependency Parsing with Pre-trained Word Embeddings and Character-level Word Embeddings in Vietnamese

PROCEEDINGS OF 2018 10TH INTERNATIONAL CONFERENCE ON KNOWLEDGE AND SYSTEMS ENGINEERING (KSE)


ConvNet training using pytorch

Scalable Methods for 8-bit Training of Neural Networks

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

Norm matters: efficient and accurate normalization schemes in deep networks

Fix your classifier: the marginal value of training the last weight layer

Untangling the Galaxy. II. Structure within 3 kpc

Untangling the Galaxy. III. Photometric Search for Pre-main-sequence Stars with Deep Learning

Mix & Match: training convnets with mixed image sizes for improved accuracy, speed and scale resiliency

PocketNN: Integer-only Training and Inference of Neural Networks via Direct Feedback Alignment and Pocket Activations in Pure C++

LogAvgExp Provides a Principled and Performant Global Pooling Operator


Manual spike clustering software for matlab

Enhancement of encoding and retrieval functions through theta phase-specific manipulation of hippocampus

Thalamic reticular nucleus induces fast and local modulation of arousal state

Gamma-range synchronization of fast-spiking interneurons can enhance detection of tactile stimuli

Layer 6 ensembles can selectively regulate the behavioral impact and layer-specific representation of sensory deviants


DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.

An Energy and GPU-Computation Efficient Backbone Network for Real-Time Object Detection

Object Detection from Scratch with Deep Supervision


PyTorch implementation of  two-stream networks for video action recognition

Towards Good Practices for Very Deep Two-Stream ConvNets

Hidden Two-Stream Convolutional Networks for Action Recognition

Deep Temporal Linear Encoding Networks

A Comprehensive Study of Deep Video Action Recognition

Multimodal Object Detection via Probabilistic Ensembling


Reinforcement Knowledge Graph Reasoning for Explainable Recommendation

PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)

CAFE: Coarse-to-Fine Neural Symbolic Reasoning for Explainable Recommendation

International Conference on Information and Knowledge Management

Reinforcement learning on graphs: A survey

Knowledge is Power, Understanding is Impact: Utility and Beyond Goals, Explanation Quality, and Fairness in Path Reasoning Recommendation

Graph Reasoning for Explainable Cold Start Recommendation


A decentralized learning research framework

Decentralized Learning Made Easy with DecentralizePy

Proceedings of the 3rd Workshop on Machine Learning and Systems

Epidemic Learning: Boosting Decentralized Learning with Randomized Communication

Get More for Less in Decentralized Learning Systems


This repository implements our ACL Findings 2022 research paper RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. The goal of Zero-Shot Relation Triplet Extraction (ZeroRTE) is to extract relation triplets of the format (head entity, tail entity, relation), despite not having annotated data for the test relation labels.

Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction


[ICCV 2017] Torch code for Grad-CAM

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

VQA: Visual Question Answering

Grad-CAM: Why did you say that?

Deep learning for the prediction of early on-treatment response in metastatic colorectal cancer from serial medical imaging

Adaptive Deep Learning through Visual Domain Localization

GWSkyNet-Multi: A Machine-learning Multiclass Classifier for LIGO–Virgo Public Alerts


A Syntax-Guided Edit Decoder for Neural Program Repair

A Survey of Learning-based Automated Program Repair

CIRCLE: Continual Repair across Programming Languages

A Survey on Automated Program Repair Techniques


Open-source, integrated optical modelling of complex stacks


RV Planet Search Pipeline Based on RadVel

California Legacy Survey. II. Occurrence of Giant Planets beyond the Ice Line

The California Legacy Survey. III. On the Shoulders of (Some) Giants: The Relationship between Inner Small Planets and Outer Massive Planets

Detecting Exomoons from Radial Velocity Measurements of Self-luminous Planets: Application to Observations of HR 7672 B and Future Prospects

TKS X: Confirmation of TOI-1444b and a Comparative Analysis of the Ultra-short-period Planets with Hot Neptunes

On the radial distribution of giant exoplanets at Solar System scales

A Wolf 359 in Sheep's Clothing: Hunting for Substellar Companions in the Fifth-closest System Using Combined High-contrast Imaging and Radial Velocity Analysis

The California Legacy Survey. IV. Lonely, Poor, and Eccentric: A Comparison between Solitary and Neighborly Gas Giants


TSEBRA: Transcript Selector for BRAKER

TSEBRA: transcript selector for BRAKER

Galba: genome annotation with miniprot and AUGUSTUS

Y-Linked Copy Number Polymorphism of Target of Rapamycin Is Associated with Sexual Size Dimorphism in Seed Beetles

The genome of the Arctic snow-alga Limnomonas spitsbergensis (Chlamydomonadales)

Telomere-to-telomere Genome Assembly of the Clubroot Pathogen Plasmodiophora Brassicae

Navigating Eukaryotic Genome Annotation Pipelines: A Route Map to
  BRAKER, Galba, and TSEBRA


Scalable Multi-Hop Relational Reasoning for Knowledge-Aware Question Answering (EMNLP 2020)

Modeling Relational Data with Graph Convolutional Networks

KagNet: Knowledge-Aware Graph Networks for Commonsense Reasoning

Learning Contextualized Knowledge Structures for Commonsense Reasoning

Commonsense Knowledge in Word Associations and ConceptNet


ClimateSERV allows development practitioners, scientists/researchers, and government decision-makers to visualize and download historical rainfall data, vegetation condition data, and 180-day forecasts of rainfall and temperature to improve understanding of, and make improved decisions for, issues related to agriculture and water availability.


Pytorch implementation of paper "HiDDeN: Hiding Data With Deep Networks" by Jiren Zhu, Russell Kaplan, Justin Johnson, and Li Fei-Fei

HiDDeN: Hiding Data With Deep Networks

Image data hiding with multi-scale autoencoder network

AMUSE: Adaptive Multi-Segment Encoding for Dataset Watermarking

Image Data Hiding in Neural Compressed Latent Representations


Multi-site dMRI harmonization

Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study

The organization of frontostriatal brain wiring in non-affective early psychosis compared with healthy subjects using a novel diffusion imaging fiber cluster analysis

A diffusion MRI tractography atlas for concurrent white matter mapping across Eastern and Western populations

Adverse Outcome Following Mild Traumatic Brain Injury Is Associated with Microstructure Alterations at the Gray and White Matter Boundary

Executive functioning, behavior, and white matter microstructure in the chronic phase after pediatric mild traumatic brain injury: results from the adolescent brain cognitive development study


Blender Addon to render light fields with depth and disparity maps

Fristograms: Revealing and Exploiting Light Field Internals


Module for generating simulated quasar spectra

The Completed SDSS-IV Extended Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations with Lyα Forests

The Faint End of the z = 5 Quasar Luminosity Function from the CFHTLS

Two more, bright, z > 6 quasars from VST ATLAS and WISE

The Extremely Luminous Quasar Survey in the Pan-STARRS 1 Footprint (PS-ELQS)

The Astrophysical Journal Supplement Series

The Extremely Luminous Quasar Survey in the Sloan Digital Sky Survey Footprint. II. The North Galactic Cap Sample

A Mock Catalog of Gravitationally-lensed Quasars for the LSST Survey

Paving the way forEuclid and JWST via probabilistic selection of high-redshift quasars

Synthetic spectra for Lyman-α forest analysis in the Dark Energy Spectroscopic Instrument

When Spectral Modeling Meets Convolutional Networks: A Method for Discovering Reionization-era Lensed Quasars in Multiband Imaging Data

New measurements of the Lyman-α forest continuum and effective
  optical depth with LyCAN and DESI Y1 data


74.3% MobileNetV3-Large and 67.2% MobileNetV3-Small model on ImageNet

Searching for MobileNetV3

Efficient deep learning architectures for fast identification of bacterial strains in resource-constrained devices

Architectural Neural Backdoors from First Principles


Core code for ME-ICA command line interface

Age differences in functional brain networks associated with loneliness and empathy

Lateralization of the cerebral network of inhibition in children before and after cognitive training

fMRI BOLD and MEG theta power reflect complementary aspects of activity during lexicosemantic decision in adolescents with ASD


Evaluating Weakly Supervised Object Localization Methods Right (CVPR 2020)

Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization

Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization

Object-aware Contrastive Learning for Debiased Scene Representation

Normalization Matters in Weakly Supervised Object Localization

Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets

Evolving Image Compositions for Feature Representation Learning

ContextMix: A context-aware data augmentation method for industrial visual inspection systems

Engineering applications of artificial intelligence

Open-World Weakly-Supervised Object Localization

BroadCAM: Outcome-agnostic Class Activation Mapping for Small-scale Weakly Supervised Applications


Guide to p4lang repositories and some other public info about P4

A survey on data plane programming with P4: Fundamentals, advances, and applied research

P4K: A Formal Semantics of P4 and Applications

Towards Software-Defined Delay Tolerant Networks


DES image simulation software: We dug too deeply and too greedily

No galaxy left behind: accurate measurements with the faintest objects in the Dark Energy Survey

Mass and galaxy distributions of four massive galaxy clusters from Dark Energy Survey Science Verification data

MAPPING AND SIMULATING SYSTEMATICS DUE TO SPATIALLY VARYING OBSERVING CONDITIONS IN DES SCIENCE VERIFICATION DATA

CFHTLenS and RCSLenS: testing photometric redshift distributions using angular cross-correlations with spectroscopic galaxy surveys

Modelling the Transfer Function for the Dark Energy Survey

Dark Energy Survey Year 3 Results: Measuring the Survey Transfer Function with Balrog

Weak lensing magnification in the Dark Energy Survey Science Verification data

Background sky obscuration by cluster galaxies as a source of systematic error for weak lensing

The UV Luminosity Function of Protocluster Galaxies at z ∼ 4: The Bright-end Excess and the Enhanced Star Formation Rate Density

Comparing Dark Energy Survey and HST-CLASH observations of the galaxy cluster RXC J2248.7-4431: implications for stellar mass versus dark matter


NewsRecLib: A PyTorch-Lightning Library for Neural News Recommendation

Train Once, Use Flexibly: A Modular Framework for Multi-Aspect Neural News Recommendation

MIND Your Language: A Multilingual Dataset for Cross-lingual News Recommendation


Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

Deeply-Supervised Nets

Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis

Models Genesis

Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning

Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration

Exploring the U-Net++ Model for Automatic Brain Tumor Segmentation

Trialing U-Net Training Modifications for Segmenting Gliomas Using Open Source Deep Learning Framework

Medical Image Computing and Computer-Assisted Intervention

Fast and Accurate 3D Medical Image Segmentation with Data-swapping Method

Brain Tumor Segmentation Using Partial Depthwise Separable Convolutions

Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle using Deep Learning


Security and Privacy Risk Simulator for Machine Learning (arXiv:2312.17667)

Deep Learning with Differential Privacy

Federated Optimization in Heterogeneous Networks

Membership Inference Attacks against Machine Learning Models

Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures

Evasion Attacks against Machine Learning at Test Time

Poisoning Attacks against Support Vector Machines

Inverting Gradients -- How easy is it to break privacy in federated learning?

Model-Contrastive Federated Learning

FedMD: Heterogenous Federated Learning via Model Distillation

SecureBoost: A Lossless Federated Learning Framework


Create Ecological Niche Models with TheMetaLand

Climate change and bird extinctions in the Amazon

Multi-temporal ecological niche modeling for bird conservation in the face of climate change scenarios in Caatinga, Brazil

Synergistic effects of climate and landscape change on the conservation of Amazonian lizards


BACTpipe: An assembly and annotation pipeline for bacterial genomics

Comparative Genomics of Cyclic di-GMP Metabolism and Chemosensory Pathways in Shewanella algae Strains: Novel Bacterial Sensory Domains and Functional Insights into Lifestyle Regulation

Conjugative transfer of multi-drug resistance IncN plasmids from environmental waterborne bacteria to Escherichia coli

Atlantic Salmon Mucins Inhibit LuxS-Dependent A. Salmonicida AI-2 Quorum Sensing in an N-Acetylneuraminic Acid-Dependent Manner

International journal of molecular sciences

Escherichia coli ST2797 Is Abundant in Wastewater and Might Be a Novel Emerging Extended-Spectrum Beta-Lactamase E. coli


Python translation of MOSART-WM: a water routing and management model


Openmano is an open source project that provides a practical implementation of the reference architecture for Management & Orchestration under standardization at ETSI’s NFV ISG

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

Integrated NFV/SDN Architectures: A Systematic Literature Review

SONATA: Service programming and orchestration for virtualized software networks

International Conference on Communications


An R package to calculate indices and theoretical physicochemical properties of peptides and protein sequences.

Peptides: A Package for Data Mining of Antimicrobial Peptides

HeMoQuest: a webserver for qualitative prediction of transient heme binding to protein motifs

Genome-Wide Identification and Comparative Analysis for OPT Family Genes in Panax ginseng and Eleven Flowering Plants

Spatial and temporal proteomics reveals the distinct distributions and dynamics of O-GlcNAcylated proteins

Bottom-Up Design Approach for OBOC Peptide Libraries

TNKPVI, a Putative Bioaccessible Pharmacophore of Anti-Inflammatory Potato Patatin-Derived Decapeptide DIKTNKPVIF

Functional evolution of SARS-CoV-2 spike protein: Maintaining wide host spectrum and enhancing infectivity via surface charge of spike protein

Accelerating the Screening of Small Peptide Ligands by Combining Peptide-Protein Docking and Machine Learning

The bigger picture: global analysis of solubilization performance of classical detergents versus new synthetic polymers utilizing shotgun proteomics


Utilities for analyzing next generation sequencing data

angsd‐wrapper: utilities for analysing next‐generation sequencing data

ANGSD-wrapper: utilities for analyzing next generation sequencing data


Multitask Environments for RL

Visual Reinforcement Learning with Imagined Goals

Rethinking Goal-conditioned Supervised Learning and Its Connection to Offline RL

Simulator Predictive Control: Using Learned Task Representations and MPC for Zero-Shot Generalization and Sequencing

Hindsight Expectation Maximization for Goal-conditioned Reinforcement Learning

Generalize Robot Learning From Demonstration to Variant Scenarios With Evolutionary Policy Gradient

Learning to Reach Goals via Diffusion


A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

WILDS: A Benchmark of in-the-Wild Distribution Shifts

Model-Based Domain Generalization

Mandoline: Model Evaluation under Distribution Shift

Focus on the Common Good: Group Distributional Robustness Follows

Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning

Empirical Study on Optimizer Selection for Out-of-Distribution Generalization

The Impact of Differential Privacy on Group Disparity Mitigation

Distribution-Free Statistical Dispersion Control for Societal Applications

Gated Domain Units for Multi-source Domain Generalization

Robustness, Evaluation and Adaptation of Machine Learning Models in the Wild


CDCgov/mycosnp-nf

Candida auris Discovery through Community Wastewater Surveillance during Healthcare Outbreak, Nevada, USA, 2022

Emergence of the novel sixth Candida auris Clade VI in Bangladesh

The use of whole-genome sequencing and development of bioinformatics to monitor overlapping outbreaks of Candida auris in southern Nevada

A Phylogeographic Description of Histoplasma capsulatum in the United States

Molecular and Epidemiological Investigation of Fluconazole-resistant Candida parapsilosis-Georgia, United States, 2021

Candida auris Infection in a Meningococcal Septicemia Survivor, Poland


Build large-scale task workflows: luigi + job submission + remote targets + environment sandboxing using Docker/Singularity

Design and Execution of make-like, distributed Analyses based on Spotify's Pipelining Package Luigi

Fixing Dockerfile Smells: An Empirical Study

A Workflow Management System Guide

Design Pattern for Analysis Automation on Distributed Resources using Luigi Analysis Workflows


QIIME 2 plugin wrapping DADA2

Rhizosphere Bacterial Community Response to Continuous Cropping of Tibetan Barley

Insights into the gut microbiota of Nigerian elderly with type 2 diabetes and non-diabetic elderly persons

Reproducible acquisition, management and meta-analysis of nucleotide sequence (meta)data using q2-fondue

Impacts of Continuous Cropping on Fungal Communities in the Rhizosphere Soil of Tibetan Barley

Monthly dynamics of microbial communities and variation of nitrogen-cycling genes in an industrial-scale expanded granular sludge bed reactor

Impacts of Managed Vegetation Restoration on Arbuscular Mycorrhizal Fungi and Diazotrophs in Karst Ecosystems


Breakthrough Listen I/O Methods for Python

The Breakthrough Listen Search for Intelligent Life: Observations of 1327 Nearby Stars Over 1.10–3.45GHz

Zenodo (CERN European Organization for Nuclear Research)

The Breakthrough Listen Search for Intelligent Life: Public Data, Formats, Reduction, and Archiving

Publications of the Astronomical Society of the Pacific

Analysis of the Breakthrough Listen signal of interest blc1 with a technosignature verification framework

A deep-learning search for technosignatures from 820 nearby stars

The Breakthrough Listen Search for Extraterrestrial Intelligence

Pulsar Based Alternative Timing Source for Grid Synchronization and Operation

Setigen: Simulating Radio Technosignatures for the Search for Extraterrestrial Intelligence


Scalable Image Analysis and Shape Modelling

Gaussian Process Morphable Models

AirLab: Autograd Image Registration Laboratory

A Closest Point Proposal for MCMC-based Probabilistic Surface Registration

Bone Surface Reconstruction and Clinical Features Estimation from Sparse Landmarks and Statistical Shape Models: A feasibility study on the femur

Developing Patient-Specific Statistical Reconstructions of Healthy Anatomical Structures to Improve Patient Outcomes

Patient-specific Conditional Joint Models of Shape, Image Features and Clinical Indicators

Automatic Modelling of Human Musculoskeletal Ligaments -- Framework Overview and Model Quality Evaluation


Silero VAD: pre-trained enterprise-grade Voice Activity Detector

End-to-end speaker segmentation for overlap-aware resegmentation

Seamless: Multilingual Expressive and Streaming Speech Translation

Wespeaker: A Research and Production Oriented Speaker Embedding Learning Toolkit

SeamlessM4T: Massively Multilingual & Multimodal Machine Translation

The IMS Toucan System for the Blizzard Challenge 2023

Estonian Speech Recognition and Transcription Editing Service

VITA: Towards Open-Source Interactive Omni Multimodal LLM

Attention-based Encoder-Decoder End-to-End Neural Diarization with Embedding Enhancer

Careless Whisper: Speech-to-Text Hallucination Harms

AVATAR: Unconstrained Audiovisual Speech Recognition


InVivoTools a set of neurophysiology tools, forked from VanHooserTools, containing tools for visual stimulation and analysis of calcium imaging and extracellular electrophysiology data

Visual Cortex Limits Pop-Out in the Superior Colliculus of Awake Mice

Visual Processing by Calretinin Expressing Inhibitory Neurons in Mouse Primary Visual Cortex

Lack of functional specialization of neurons in the mouse primary visual cortex that have expressed calretinin

Contrast-Dependence of Temporal Frequency Tuning in Mouse V1

Thalamic regulation of ocular dominance plasticity in adult visual cortex


A repository for learning various heap exploitation techniques.

PAC it up: Towards Pointer Integrity using ARM Pointer Authentication

Automatic Techniques to Systematically Discover New Heap Exploitation Primitives

A Pattern-Based Software Testing Framework for Exploitability Evaluation of Metadata Corruption Vulnerabilities


Neuroimaging analysis and visualization suite

A contrast-adaptive method for simultaneous whole-brain and lesion segmentation in multiple sclerosis

Using diffusion MRI data acquired with ultra-high gradient strength to improve tractography in routine-quality data

PSACNN: Pulse Sequence Adaptive Fast Whole Brain Segmentation

A Longitudinal Method for Simultaneous Whole-Brain and Lesion Segmentation in Multiple Sclerosis

Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology

An open-source tool for longitudinal whole-brain and white matter lesion segmentation

The Rio Hortega University Hospital Glioblastoma dataset: a comprehensive collection of preoperative, early postoperative and recurrence MRI scans (RHUH-GBM)

Atypical cortical processing of bottom-up speech binding cues in children with autism spectrum disorders

Impact of repeated blast exposure on active-duty United States Special Operations Forces

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


ZXing ("Zebra Crossing") barcode scanning library for Java, Android

Immunochromatographic Diagnostic Test Analysis Using Google Glass

Security and Privacy of QR Code Applications: A Comprehensive Study, General Guidelines and Solutions

Roaming Service for Electric Vehicle Charging Using Blockchain-Based Digital Identity

Cellular Automata-Based Application for Driver Assistance in Indoor Parking Areas

An End-to-end Method for Producing Scanning-robust Stylized QR Codes

Color Visual Secret Sharing for QR Code with Perfect Module Reconstruction

Ubic: Bridging the gap between digital cryptography and the physical world

OmniShare: Securely Accessing Encrypted Cloud Storage from Multiple Authorized Devices

Secured Secret Sharing of QR Codes Based on Nonnegative Matrix Factorization and Regularized Super Resolution Convolutional Neural Network

EyeSec: A Retrofittable Augmented Reality Tool for Troubleshooting Wireless Sensor Networks in the Field


Reverse engineered ChatGPT API

Is ChatGPT better than Human Annotators? Potential and Limitations of ChatGPT in Explaining Implicit Hate Speech

Can we trust the evaluation on ChatGPT?

VeriGen: A Large Language Model for Verilog Code Generation

A Turing test of whether AI chatbots are behaviorally similar to humans

No Need to Lift a Finger Anymore? Assessing the Quality of Code Generation by ChatGPT

Causal Reasoning of Entities and Events in Procedural Texts

A Turing Test: Are AI Chatbots Behaviorally Similar to Humans?


Code of STFGNN@AAAI-2021 (Spatial-Temporal/ Traffic data forecasting)

Graph neural network for traffic forecasting: A survey

Spatial-Temporal Fusion Graph Neural Networks for Traffic Flow Forecasting

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Graph Neural Rough Differential Equations for Traffic Forecasting

MD-GCN: A Multi-Scale Temporal Dual Graph Convolution Network for Traffic Flow Prediction

Graph-Free Learning in Graph-Structured Data: A More Efficient and Accurate Spatiotemporal Learning Perspective


Hierarchy-Aware Global Model for Hierarchical Text Classification

Meeting of the Association for Computational Linguistics

Hierarchical Interdisciplinary Topic Detection Model for Research Proposal Classification

Exploring Label Hierarchy in a Generative Way for Hierarchical Text Classification

International Conference on Computational Linguistics

Interdisciplinary Fairness in Imbalanced Research Proposal Topic Inference: A Hierarchical Transformer-based Method with Selective Interpolation

A Multi-Dimensional, Cross-Domain and Hierarchy-Aware Neural Architecture for ISO-Standard Dialogue Act Tagging


Using Catalyst.RL to train a robot to perform peg-in-hole insertion in simulation.

Addressing Function Approximation Error in Actor-Critic Methods

Sim2Real for Peg-Hole Insertion with Eye-in-Hand Camera

Sample Efficient Ensemble Learning with Catalyst.RL


Source code for the paper "Growing urban bicycle networks", exploring algorithmically the limitations of urban bicycle network growth

Growing urban bicycle networks


A research-oriented elastic body simulator

Projective Dynamics: Fusing Constraint Projections for Fast Simulation

Seminal Graphics Papers: Pushing the Boundaries, Volume 2

MIG - XPBD: position-based simulation of compliant constrained dynamics

Example-based elastic materials

International Conference on Computer Graphics and Interactive Techniques

Quasi-Newton Methods for Real-Time Simulation of Hyperelastic Materials

Stable Neo-Hookean Flesh Simulation

Position-based simulation of continuous materials

A Survey on Position Based Dynamics, 2017

Long range attachments - a method to simulate inextensible clothing in computer games

Small steps in physics simulation

Real-time example-based elastic deformation


W-TALC: Weakly-supervised Temporal Activity Localization and Classification

VideoMix: Rethinking Data Augmentation for Video Classification

Person Re-identification Attack on Wearable Sensing


Official code for "Bridging Video-text Retrieval with Multiple Choice Questions", CVPR 2022 (Oral).

MILES: Visual BERT Pre-training with Injected Language Semantics for Video-text Retrieval

Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment

IEEE transactions on pattern analysis and machine intelligence

Confidence-Based Event-Centric Online Video Question Answering on a Newly Constructed ATBS Dataset


A python implementation of the Rapid Automatic Keyword Extraction

Abstractive Unsupervised Multi-Document Summarization using Paraphrastic Sentence Fusion

Generating Multiple Diverse Responses for Short-Text Conversation

Extract with Order for Coherent Multi-Document Summarization

Cluster Labeling by Word Embeddings and WordNet's Hypernymy

Australasian Language Technology Association Workshop

Exploratory Analysis of Highly Heterogeneous Document Collections

Analyzing Social Book Reading Behavior on Goodreads and how it predicts Amazon Best Sellers

Document Level Novelty Detection: Textual Entailment Lends a Helping Hand

International conference natural language processing

Linking Tweets with Monolingual and Cross-Lingual News using Transformed Word Embeddings


Two at Once: Enhancing Learning and Generalization Capacities via IBN-Net

Cluster Contrast for Unsupervised Person Re-Identification

Dual Cluster Contrastive learning for Object Re-Identification

Relation-Based Deep Attention Network with Hybrid Memory for One-Shot Person Re-Identification


Grayscale Image Colorization with Generative Adversarial Networks. https://arxiv.org/abs/1803.05400

U-Net: Convolutional Networks for Biomedical Image Segmentation

Image-to-Image Translation with Conditional Adversarial Networks

Conditional Generative Adversarial Nets

Image Colorization Using Generative Adversarial Networks


Universal adversarial perturbations

Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks

Proceedings 2018 Network and Distributed System Security Symposium

Art of singular vectors and universal adversarial perturbations


memory efficient, fast & precise taxnomomic classification system for metagenomic read mapping

MetaCache: context-aware classification of metagenomic reads using minhashing

Bioinformatic Tools for NGS-Based Metagenomics to Improve the Clinical Diagnosis of Emerging, Re-Emerging and New Viruses

MetaCache-GPU: Ultra-Fast Metagenomic Classification


Learning to Cluster Faces (CVPR 2019, CVPR 2020)

Linkage Based Face Clustering via Graph Convolution Network

Learning to Cluster Faces on an Affinity Graph

Learning to Cluster Faces via Confidence and Connectivity Estimation

Learning to Cluster Faces via Transformer

Graph Convolutional Network Based Semi-Supervised Learning on Multi-Speaker Meeting Data


An information security preparedness tool to do adversarial simulation.

SoK: A Survey of Open-Source Threat Emulators

Cyber Attack and Defense Emulation Agents

SoK: The MITRE ATT&CK Framework in Research and Practice

RACONTEUR: A Knowledgeable, Insightful, and Portable LLM-Powered Shell
  Command Explainer


Data acquisition source code for Miniscope project.

Prefrontal cortical regulation of REM sleep

Ketamine evoked disruption of entorhinal and hippocampal spatial maps

bioRxiv : the preprint server for biology

Calcium Dynamics of the Ventrolateral Preoptic GABAergic Neurons during Spontaneous Sleep-Waking and in Response to Homeostatic Sleep Demands


DrQ-v2: Improved Data-Augmented Reinforcement Learning

Mastering Visual Continuous Control: Improved Data-Augmented Reinforcement Learning

SURF: Semi-supervised Reward Learning with Data Augmentation for Feedback-efficient Preference-based Reinforcement Learning

VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning

Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning

Pre-training Contextualized World Models with In-the-wild Videos for Reinforcement Learning

Accelerating Reinforcement Learning with Value-Conditional State Entropy Exploration

Diffusion Reward: Learning Rewards via Conditional Video Diffusion

Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse

Unsupervised Behavior Extraction via Random Intent Priors

Continuous Control with Coarse-to-fine Reinforcement Learning


An SDK for multi-agent collaborative perception.

V2VNet: Vehicle-to-Vehicle Communication for Joint Perception and Prediction

Learning Distilled Collaboration Graph for Multi-Agent Perception

When2com: Multi-Agent Perception via Communication Graph Grouping

Who2com: Collaborative Perception via Learnable Handshake Communication

Towards Vehicle-to-everything Autonomous Driving: A Survey on Collaborative Perception


[CVPR 2021/TPAMI 2023] Rank 1st in the public leaderboard of SemanticKITTI Panoptic Segmentation (2020-11-16)

Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

Rethinking Range View Representation for LiDAR Segmentation

LiDAR-based Panoptic Segmentation via Dynamic Shifting Network

LiDAR-based 4D Panoptic Segmentation via Dynamic Shifting Network


A python toolkit for analysing membrane protein-lipid interactions.

Identification and assessment of cardiolipin interactions with E. coli inner membrane proteins

Mass spectrometry captures biased signalling and allosteric modulation of a G-protein-coupled receptor

ProLint: a web-based framework for the automated data analysis and visualization of lipid–protein interactions

The Glycosphingolipid GM3 Modulates Conformational Dynamics of the Glucagon Receptor

Peptidoglycan biosynthesis is driven by lipid transfer along enzyme-substrate affinity gradients

In Silico Identification of Cholesterol Binding Motifs in the Chemokine Receptor CCR3

The energetics and ion coupling of cholesterol transport through Patched1

GPCR Oligomerisation Modulation by Conformational State and Lipid Interactions Revealed by MD Simulations and Markov Models


Learning Model Predictive Controllers with Real-Time Attention for Real-World Navigation

CALIPSO: A Differentiable Solver for Trajectory Optimization with Conic and Complementarity Constraints

Agile Catching with Whole-Body MPC and Blackbox Policy Learning

Transductive Active Learning: Theory and Applications

The Power of Learned Locally Linear Models for Nonlinear Policy Optimization


ASVspoof 2021 Baseline Systems

ADD 2022: the First Audio Deep Synthesis Detection Challenge

ASVspoof 2021: Automatic Speaker Verification Spoofing and Countermeasures Challenge Evaluation Plan

Investigating self-supervised front ends for speech spoofing countermeasures

RawBoost: A Raw Data Boosting and Augmentation Method applied to Automatic Speaker Verification Anti-Spoofing

ADD 2023: the Second Audio Deepfake Detection Challenge

Spoofed Training Data for Speech Spoofing Countermeasure Can Be Efficiently Created Using Neural Vocoders

Audio Deepfake Detection: A Survey

Anti-Spoofing Using Transfer Learning with Variational Information Bottleneck

CFAD: A Chinese Dataset for Fake Audio Detection

EmoFake: An Initial Dataset for Emotion Fake Audio Detection


Kaldi-based Korean ASR (한국어 음성인식) open-source project

KsponSpeech: Korean Spontaneous Speech Corpus for Automatic Speech Recognition

ClovaCall: Korean Goal-Oriented Dialog Speech Corpus for Automatic Speech Recognition of Contact Centers

Kosp2e: Korean Speech to English Translation Corpus

Open Korean Corpora: A Practical Report

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

Exploring Lexicon-Free Modeling Units for End-to-End Korean and Korean-English Code-Switching Speech Recognition

Cascading and Direct Approaches to Unsupervised Constituency Parsing on Spoken Sentences


GTEx & TOPMed data production and analysis pipelines

Genetic effects on gene expression across human tissues

Inherited causes of clonal haematopoiesis in 97,691 whole genomes

Transcript expression-aware annotation improves rare variant interpretation

Identification and analysis of splicing quantitative trait loci across multiple tissues in the human genome

A first-generation pediatric cancer dependency map

A vast resource of allelic expression data spanning human tissues

New insights on the genetic etiology of Alzheimer’s and related dementia

Variability in estimated gene expression among commonly used RNA-seq pipelines

DNA methylation clocks for dogs and humans

Thousands of novel unannotated proteins expand the MHC I immunopeptidome in cancer


Multivariate Omnibus Statistical Test

Understanding the genetic determinants of the brain with MOSTest

Making the MOSTest of Imaging Genetics

Multivariate genetic analysis of personality and cognitive traits reveals abundant pleiotropy and improves prediction

Imaging genetics of language network functional connectivity reveals links with language-related abilities, dyslexia and handedness


SASRec: Self-Attentive Sequential Recommendation

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation

RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation

A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

Context and Attribute-Aware Sequential Recommendation via Cross-Attention

Proceedings of the 16th ACM Conference on Recommender Systems

DiffuRec: A Diffusion Model for Sequential Recommendation

Consistency-Aware Recommendation for User-Generated Item List Continuation

A Systematic Review and Replicability Study of BERT4Rec for Sequential Recommendation


Character-based word embeddings model based on RNN for handling real world texts

A Universal Question-Answering Platform for Knowledge Graphs

Form2Seq : A Framework for Higher-Order Form Structure Extraction

Multi-Modal Association based Grouping for Form Structure Extraction


Shell scripts for spectral-timing analysis of X-ray astronomical data.

Stingray: A Modern Python Library for Spectral Timing

PINT: A Modern Software Package for Pulsar Timing

All at Once: Transient Pulsations, Spin-down, and a Glitch from the Pulsating Ultraluminous X-Ray Source M82 X-2

No Time for Dead Time: Use the Fourier Amplitude Differences to Normalize Dead-time-affected Periodograms

The black hole X-ray transient Swift J1357.2-0933 as seen with Swift and NuSTAR during its 2017 outburst

Monthly notices of the Royal Astronomical Society

On the Statistical Properties of Cospectra

The Astrophysical Journal Supplement Series


High-performance high-order finite element solver for hyperbolic conservation equations

Second-order invariant domain preserving approximation of the Euler equations using convex limiting

Second-order invariant domain preserving approximation of the compressible Navier-Stokes equations

Computer Methods in Applied Mechanics and Engineering

Efficient Parallel 3D Computation of the Compressible Euler Equations with an Invariant-domain Preserving Second-order Finite-element Scheme

On the implementation of a robust and efficient finite element-based parallel solver for the compressible Navier-Stokes equations


Locus and lineage tests for bacterial GWAS

Current Affairs of Microbial Genome-Wide Association Studies: Approaches, Bottlenecks and Analytical Pitfalls

Panton–Valentine leucocidin is the key determinant of Staphylococcus aureus pyomyositis in a bacterial GWAS

Antimicrobial resistance determinants are associated with Staphylococcus aureus bacteraemia and adaptation to the hospital environment: a bacterial genome-wide association study


Graphs and Graph Algorithms in C++, including Minimum Cost (Lifted) Multicuts

Joint Graph Decomposition and Node Labeling: Problem, Algorithms, Applications

Analysis and Optimization of Graph Decompositions by Lifted Multicuts

Improving primary-vertex reconstruction with a minimum-cost lifted multicut graph partitioning algorithm


58069 Java source code diffs. http://arxiv.org/pdf/1807.03200

An Empirical Study on Learning Bug-Fixing Patches in the Wild via Neural Machine Translation

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

The CodRep Machine Learning on Source Code Competition

A Survey on Automated Program Repair Techniques


Tools for conformal inference in regression

Distribution-Free Predictive Inference for Regression

Conformal Prediction Under Covariate Shift

MAPIE: an open-source library for distribution-free uncertainty quantification

Merging uncertainty sets via majority vote

Efficient and minimal length parametric conformal prediction regions

conformalInference.multi and conformalInference.fd: Twin Packages for Conformal Prediction


Depends is a fast, comprehensive code dependency analysis tool

PyCG: Practical Call Graph Generation in Python

E-SC4R: Explaining Software Clustering for Remodularisation

On the Opportunities of Green Computing: A Survey

Automated regression unit test generation for program merges

Software Architecture Recovery with Information Fusion

An Empirical Study of Untangling Patterns of Two-Class Dependency Cycles

Cross-Language Dependencies: An Empirical Study of Kotlin-Java

Who is the Real Hero? Measuring Developer Contribution via Multi-Dimensional Data Integration


Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"

Code Prediction by Feeding Trees to Transformers

Adversarial Examples for Models of Code

Self-Supervised Contrastive Learning for Code Retrieval and Summarization via Semantic-Preserving Transformations

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

Semantic Robustness of Models of Source Code

A Literature Study of Embeddings on Source Code

Embedding Java Classes with code2vec: Improvements from Variable Obfuscation

Research Commons (University of Waikato)

Understanding Neural Code Intelligence Through Program Simplification

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

On the Evaluation of Commit Message Generation Models: An Experimental Study

Backdoors in Neural Models of Source Code


This repository is a fork of Microsoft Research's homomorphic encryption implementation, the Simple Encrypted Arithmetic Library (SEAL).  This code wraps the SEAL build in a docker container and provides Python API's to the encryption library.

Practical Privacy-Preserving Data Science With Homomorphic Encryption: An Overview

Blind Faith: Privacy-Preserving Machine Learning using Function Approximation

PySEAL: A Python wrapper implementation of the SEAL homomorphic encryption library

A Tutorial Introduction to Lattice-based Cryptography and Homomorphic Encryption


motus - a tool for marker gene-based OTU (mOTU) profiling

Cultivation-independent genomes greatly expand taxonomic-profiling capabilities of mOTUs across various environments

mOTUs: Profiling Taxonomic Composition, Transcriptional Activity and Strain Populations of Microbial Communities

Extended taxonomic profiling of diverse environments with mOTUs 2.6

Commensal bacteria promote azathioprine-therapy-failure in inflammatory bowel disease via decreasing 6-mercaptopurine bioavailability

Zenodo (CERN European Organization for Nuclear Research)

Taxonomy, Sequence Variance and Functional Profiling of the Microbial Community of Long-Ripened Cheddar Cheese Using Shotgun Metagenomics


VerifAI is a software toolkit for the formal design and analysis of systems that include artificial intelligence (AI) and machine learning (ML) components.

Proximal Policy Optimization Algorithms

Counterexample-Guided Data Augmentation

Formal Analysis and Redesign of a Neural Network-Based Aircraft Taxiing System with VerifAI

VERIFAI: A Toolkit for the Design and Analysis of Artificial Intelligence-Based Systems

Ensuring Reliable Robot Task Performance through Probabilistic Rare-Event Verification and Synthesis


A parallel framework for training deep neural networks

AxoNN: An asynchronous, message-driven parallel framework for extreme-scale deep learning

A Survey and Empirical Evaluation of Parallel Deep Learning Frameworks

A 4D Hybrid Algorithm to Scale Parallel Training to Thousands of GPUs


Shared repo for EM connectomics and Array Tomography render based image processing modules

Functional connectomics spanning multiple areas of mouse visual cortex

Cell-type-specific inhibitory circuitry from a connectomic census of mouse visual cortex

Petascale neural circuit reconstruction: automated methods

A scalable and modular automated pipeline for stitching of large electron microscopy datasets


Matlab code to generate distributed power flow problems.

Distributed Power Flow and Distributed Optimization -- Formulation, Solution, and Open Source Implementation

Distributed Optimal Power Flow for VSC-MTDC Meshed AC/DC Grids Using ALADIN

Rapid Scalable Distributed Power Flow with Open-Source Implementation


Provide Semantic Parsing solutions and Natural Language Inferences for multiple languages following the idea of the syntax-semantics interface.

Higher-order logical inference with compositional semantics

Empirical Methods in Natural Language Processing

ccg2lambda: A Compositional Semantics System

PROCEEDINGS OF 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL-2016): SYSTEM DEMONSTRATIONS

On-demand Injection of Lexical Knowledge for Recognising Textual Entailment

Conference of the European Chapter of the Association for Computational Linguistics

Acquisition of Phrase Correspondences using Natural Deduction Proofs

Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser

Logical Inferences with Comparatives and Generalized Quantifiers

Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference

Visual Denotations for Recognizing Textual Entailment

Determining Semantic Textual Similarity using Natural Deduction Proofs

Neural sentence generation from formal semantics

International Conference on Natural Language Generation


A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence

Cross-lingual Contextualized Topic Models with Zero-shot Learning

TOMODAPI: A Topic Modeling API to Train, Use and Compare Topic Models

DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM


Julia package for automatically generating Bayesian inference algorithms through message passing on Forney-style factor graphs.

A factor graph approach to automated design of Bayesian signal processing algorithms

International Journal of Approximate Reasoning

Simulating Active Inference Processes by Message Passing

Extended Variational Message Passing for Automated Approximate Bayesian Inference

Active Inference and Epistemic Value in Graphical Models


Official MOHID Water Modelling System repository

Sensitivity Analysis of the MOHID-Land Hydrological Model: A Case Study of the Ulla River Basin


Towards Automated Circuit Discovery for Mechanistic Interpretability

Knowledge Circuits in Pretrained Transformers

Sparse Autoencoders Enable Scalable and Reliable Circuit Identification
  in Language Models


Generalized Out-of-Distribution Detection: A Survey

ViM: Out-Of-Distribution with Virtual-logit Matching

OpenOOD: Benchmarking Generalized Out-of-Distribution Detection

OpenOOD v1.5: Enhanced Benchmark for Out-of-Distribution Detection

Full-Spectrum Out-of-Distribution Detection

Nearest Neighbor Guidance for Out-of-Distribution Detection

Neuron Activation Coverage: Rethinking Out-of-distribution Detection and Generalization

DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models

Diffusion Denoising Process for Perceptron Bias in Out-of-distribution Detection

NECO: NEural Collapse Based Out-of-distribution detection


GENIUS – generating text using sketches! A strong text generation & data augmentation tool.

GENIUS: Sketch-based Language Model Pre-training via Extreme and Selective Masking for Text Generation and Augmentation

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

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


Adversarial Discriminative Domain Adaptation

Bayes-TrEx: a Bayesian Sampling Approach to Model Transparency by Example

Mining Data Impressions from Deep Models as Substitute for the Unavailable Training Data


Building a Bayesian deep learning classifier

Deep Residual Learning for Image Recognition

What Uncertainties Do We Need in Bayesian Deep Learning for Computer Vision?

Learning uncertainty with artificial neural networks for predictive process monitoring


Inductive relation prediction by subgraph reasoning, ICML'20

Inductive Relation Prediction by Subgraph Reasoning

SumGNN: multi-typed drug interaction prediction via efficient knowledge graph summarization

Inductive Relation Prediction by BERT

Accurate and interpretable drug-drug interaction prediction enabled by knowledge subgraph learning

Multi-Aspect Explainable Inductive Relation Prediction by Sentence Transformer

Knowledge Graph Reasoning with Relational Directed Graph

Learning to Denoise Biomedical Knowledge Graph for Robust Molecular Interaction Prediction

Graph Stochastic Neural Process for Inductive Few-shot Knowledge Graph
  Completion


PyTorch implementation of "Simple and Deep Graph Convolutional Networks"

Handling Distribution Shifts on Graphs: An Invariance Perspective

Local Augmentation for Graph Neural Networks

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

Tree Decomposed Graph Neural Network

Feature Overcorrelation in Deep Graph Neural Networks: A New Perspective

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Hierarchical message-passing graph neural networks

EvenNet: Ignoring Odd-Hop Neighbors Improves Robustness of Graph Neural Networks

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization

Demystifying Structural Disparity in Graph Neural Networks: Can One Size Fit All?


Codes accompanying the paper "DOP: Off-Policy Multi-Agent Decomposed Policy Gradients" (ICLR 2021, https://arxiv.org/abs/2007.12322)

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

Value-Decomposition Networks For Cooperative Multi-Agent Learning

Multiagent Cooperation and Competition with Deep Reinforcement Learning

Semi-On-Policy Training for Sample Efficient Multi-Agent Policy Gradients


Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"

Label-Efficient Semantic Segmentation with Diffusion Models

RRL: Resnet as representation for Reinforcement Learning

The Vendi Score: A Diversity Evaluation Metric for Machine Learning

Feature Unlearning for Pre-trained GANs and VAEs

Re-parameterizing VAEs for stability

Posterior Matching for Arbitrary Conditioning


PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566

Exploring Simple Siamese Representation Learning

Improved Baselines with Momentum Contrastive Learning

Representational Continuity for Unsupervised Continual Learning

The Challenges of Continuous Self-Supervised Learning

Learning Visual Representations via Language-Guided Sampling

GANORCON: Are Generative Models Useful for Few-shot Segmentation?

Rethinking the Representational Continuity: Towards Unsupervised Continual Learning.

An Investigation into Whitening Loss for Self-supervised Learning

Latent Diffusion Counterfactual Explanations

A Survey on Self-Supervised Representation Learning


AttGAN PyTorch Arbitrary Facial Attribute Editing: Only Change What You Want

AttGAN: Facial Attribute Editing by Only Changing What You Want

Style Intervention: How to Achieve Spatial Disentanglement with Style-based Generators?

Informative Sample Mining Network for Multi-Domain Image-to-Image Translation

Semantic Image Attack for Visual Model Diagnosis


struc2vec: Learning Node Representations from Structural Identity

GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training

A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised Graph Representation Learning Methods

Towards Understanding and Evaluating Structural Node Embeddings


a sklearn wrapper for Google's BERT model

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

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

SciBERT: A Pretrained Language Model for Scientific Text

Effective Use of Bidirectional Language Modeling for Transfer Learning in Biomedical Named Entity Recognition

Living Machines: A study of atypical animacy

SemEval-2020 Task 5: Detecting Counterfactuals by Disambiguation.

Yseop at SemEval-2020 Task 5: Cascaded BERT Language Model for Counterfactual Statement Analysis

Agriculture Named Entity Recognition—Towards FAIR, Reusable Scholarly Contributions in Agriculture


Mamba-UNet Zoo

Mamba-UNet: UNet-Like Pure Visual Mamba for Medical Image Segmentation

A Survey on Visual Mamba

Weak-Mamba-UNet: Visual Mamba Makes CNN and ViT Work Better for
  Scribble-based Medical Image Segmentation

Semi-Mamba-UNet: Pixel-Level Contrastive Cross-Supervised Visual
  Mamba-based UNet for Semi-Supervised Medical Image Segmentation


TenforFlow Implementation of Neural Factorization Machine

Neural Factorization Machines for Sparse Predictive Analytics

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

ACM transactions on office information systems

User Response Prediction in Online Advertising

Deep Multi-Representation Model for Click-Through Rate Prediction


https://arxiv.org/abs/2104.02246  One Thing One Click (CVPR 2021)        https://arxiv.org/abs/2303.14727   One Thing One Click++ (Arxiv)

One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation

SQN: Weakly-Supervised Semantic Segmentation of Large-Scale 3D Point Clouds

You Only Need One Thing One Click: Self-Training for Weakly Supervised 3D Scene Understanding


Mutation system for Java programs, including OO mutation operators.

Mutation testing in the wild: findings from GitHub

Metamorphic relation prioritization for effective regression testing

Enhance Combinatorial Testing with Metamorphic Relations

IEEE Transactions on Software Engineering

Prioritization of Metamorphic Relations to reduce the cost of testing


CNN-generated images are surprisingly easy to spot... for now

Towards Universal Fake Image Detectors that Generalize Across Generative Models

AEROBLADE: Training-Free Detection of Latent Diffusion Images Using
  Autoencoder Reconstruction Error

DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection

AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark


1st place solution

Recurrent Neural Networks for Time Series Forecasting: Current status and future directions

Probabilistic Forecasting with Temporal Convolutional Neural Network

Improving the Accuracy of Global Forecasting Models using Time Series Data Augmentation

Monash Time Series Forecasting Archive

Forecast evaluation for data scientists: common pitfalls and best practices

Web Traffic Time Series Forecasting Using LSTM Neural Networks with Distributed Asynchronous Training

Ensembles of Localised Models for Time Series Forecasting

Parameter Efficient Deep Probabilistic Forecasting

An accurate and fully-automated ensemble model for weekly time series forecasting

SutraNets: Sub-series Autoregressive Networks for Long-Sequence, Probabilistic Forecasting


Code associated with the Don't Stop Pretraining ACL 2020 paper

Don't Stop Pretraining: Adapt Language Models to Domains and Tasks

Should We Be Pre-training? An Argument for End-task Aware Training as an Alternative

Efficient Domain Adaptation of Language Models via Adaptive Tokenization

G-MAP: General Memory-Augmented Pre-trained Language Model for Domain Tasks

Task Adaptive Pretraining of Transformers for Hostility Detection


English word segmentation, written in pure-Python, and based on a trillion-word corpus.

SemEval-2020 Task 12: Multilingual Offensive Language Identification in Social Media (OffensEval 2020)

NULI at SemEval-2019 Task 6: Transfer Learning for Offensive Language Detection using Bidirectional Transformers

North American Chapter of the Association for Computational Linguistics

Inline Detection of Domain Generation Algorithms with Context-Sensitive Word Embeddings

Kungfupanda at SemEval-2020 Task 12: BERT-Based Multi-TaskLearning for Offensive Language Detection

Detecting Urgency Status of Crisis Tweets: A Transfer Learning Approach for Low Resource Languages

International Conference on Computational Linguistics

GUIR at SemEval-2020 Task 12: Domain-Tuned Contextualized Models for Offensive Language Detection

LIIR at SemEval-2020 Task 12: A Cross-Lingual Augmentation Approach for Multilingual Offensive Language Identification

PGSG at SemEval-2020 Task 12: BERT-LSTM with Tweets’ Pretrained Model and Noisy Student Training Method

International Workshop on Semantic Evaluation

IITP at EmoInt-2017: Measuring Intensity of Emotions using Sentence Embeddings and Optimized Features

On The Robustness of Offensive Language Classifiers


iSTFTNet : Fast and Lightweight Mel-spectrogram Vocoder Incorporating Inverse Short-time Fourier Transform

iSTFTNet: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform

Vocos: Closing the gap between time-domain and Fourier-based neural vocoders for high-quality audio synthesis

APNet: An All-Frame-Level Neural Vocoder Incorporating Direct Prediction of Amplitude and Phase Spectra

HiFTNet: A Fast High-Quality Neural Vocoder with Harmonic-plus-Noise Filter and Inverse Short Time Fourier Transform

APNet2: High-quality and High-efficiency Neural Vocoder with Direct Prediction of Amplitude and Phase Spectra


Sandbox for training deep learning networks

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

U-Net: Convolutional Networks for Biomedical Image Segmentation

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Densely Connected Convolutional Networks

Squeeze-and-Excitation Networks

Rethinking the Inception Architecture for Computer Vision

MobileNetV2: Inverted Residuals and Linear Bottlenecks

CBAM: Convolutional Block Attention Module

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks


A python program to call methylation (m6A in DNA) from nanopore signal data

Recent advances in the detection of base modifications using the Nanopore sequencer

Characterization of the Type I Restriction Modification System Broadly Conserved among Group A Streptococci


Whole genome variants across 57 pig breeds enable comprehensive identification of genetic signatures that underlie breed features

Multigenic resistance to Xylella fastidiosa in wild grapes (Vitis sps.) and its implications within a changing climate

Insight into the Possible Formation Mechanism of the Intersex Phenotype of Lanzhou Fat-Tailed Sheep Using Whole-Genome Resequencing

Animals : an open access journal from MDPI

InDel and CNV within the AKAP13 Gene Revealing Strong Associations with Growth Traits in Goat


Oxford Nanopore Technologies fast5 API software

Fast nanopore sequencing data analysis with SLOW5

Detection of Viral Pathogens With Multiplex Nanopore MinION Sequencing: Be Careful With Cross-Talk

Telomere-to-telomere assemblies of 142 strains characterize the genome structural landscape in Saccharomyces cerevisiae

Methylartist: tools for visualizing modified bases from nanopore sequence data

Concerted modification of nucleotides at functional centers of the ribosome revealed by single-molecule RNA modification profiling

Barcode aware adaptive sampling for GridION and PromethION Oxford Nanopore sequencers

Benchmarking of computational methods for m6A profiling with Nanopore direct RNA sequencing

Distinct epigenetic signatures of classical and hypervirulent Klebsiella pneumoniae

Whole-genome DNA methylome analysis of different developmental stages of the entomopathogenic fungus Beauveria bassiana NCHU-157 by nanopore sequencing

Multiple strategies, including 6mA methylation, affecting plant alternative splicing in allopolyploid peanut


Standard Nomenclature for PV Systems


emm Automatic Isolate Labeller

Integrative omics identifies conserved and pathogen-specific responses of sepsis-causing bacteria

Integrative Reverse Genetic Analysis Identifies Polymorphisms Contributing to Decreased Antimicrobial Agent Susceptibility in Streptococcus pyogenes

Novel emm4 lineage associated with an upsurge in invasive group A streptococcal disease in the Netherlands, 2022

A worldwide population of Streptococcus pyogenes strains circulating among school-aged children in Auckland, New Zealand: a genomic epidemiology analysis

The Lancet regional health. Western Pacific

Inter-species gene flow drives ongoing evolution of Streptococcus pyogenes and Streptococcus dysgalactiae subsp. equisimilis

Local Genomic Surveillance of Invasive Streptococcus pyogenes in Eastern North Carolina (ENC) in 2022–2023

International Journal of Molecular Sciences

The Emergence and Impact of the M1UK Lineage on Invasive Group A Streptococcus Disease in Aotearoa New Zealand


Expanded STR algorithm for Illumina sequencing data

Bioinformatics-Based Identification of Expanded Repeats: A Non-reference Intronic Pentamer Expansion in RFC1 Causes CANVAS

Detecting tandem repeat expansions in cohorts sequenced with short-read sequencing data

Unexpected diagnosis of myotonic dystrophy type 2 repeat expansion by genome sequencing

European journal of human genetics : EJHG

Genome and RNA sequencing boost neuromuscular diagnoses to 62% from 34% with exome sequencing alone

Annals of clinical and translational neurology


Generate synthetic data that simulate a given dataset.

DataSynthesizer: Privacy-Preserving Synthetic Datasets

Statistical and Scientific Database Management

On the Utility of Synthetic Data: An Empirical Evaluation on Machine Learning Tasks

Robin Hood and Matthew Effects: Differential Privacy Has Disparate Impact on Synthetic Data

Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data Challenge

Introducing the Monitoring Equipment Mask Environment

Differentially private data release via statistical election to partition sequentially

Mitigating Statistical Bias within Differentially Private Synthetic Data

On the Utility Recovery Incapability of Neural Net-based Differential Private Tabular Training Data Synthesizer under Privacy Deregulation

"What do you want from theory alone?" Experimenting with Tight Auditing
  of Differentially Private Synthetic Data Generation

A Latent Class Modeling Approach for Generating Synthetic Data and Making Posterior Inferences from Differentially Private Counts


Guide to using pre-trained large language models of source code

Evaluating Large Language Models Trained on Code

A systematic evaluation of large language models of code

Proceedings of the 6th ACM SIGPLAN International Symposium on Machine Programming

A Survey on Large Language Models for Software Engineering

A Systematic Evaluation of Large Language Models of Code

Neural Machine Translation for Code Generation

Semi-Instruct: Bridging Natural-Instruct and Self-Instruct for Code
  Large Language Models


Position-Velocity diagram extract (but it can slice out other things too)

Organic chemistry in the innermost, infalling envelope of the Class 0 protostar L483

Study of the filamentary infrared dark cloud G192.76+00.10 in the S254–S258 OB complex

ALMA-IMF. IX. Catalog and Physical Properties of 315 SiO Outflow Candidates in 15 Massive Protoclusters


Ladder network is a deep learning algorithm that combines supervised and unsupervised learning

Semi-Supervised Learning with Ladder Networks

Semi-Supervised Convolutional Neural Networks for Human Activity Recognition

An analysis of over-sampling labeled data in semi-supervised learning with FixMatch

Proceedings of the Northern Lights Deep Learning Workshop


CityGML 3.0 Conceptional Model

Tools for BIM-GIS Integration (IFC Georeferencing and Conversions): Results from the GeoBIM Benchmark 2019

ISPRS International Journal of Geo-Information

Building Virtual 3D City Model for Smart Cities Applications: A Case Study on Campus Area of the University of Novi Sad

Detailed Streetspace Modelling for Multiple Applications: Discussions on the Proposed CityGML 3.0 Transportation Model

A Simplified CityGML-Based 3D Indoor Space Model for Indoor Applications

INTEGRATION OF 3D POINT CLOUDS WITH SEMANTIC 3D CITY MODELS – PROVIDING SEMANTIC INFORMATION BEYOND CLASSIFICATION

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences

Versioning of 3D City Models for Municipality Applications: Needs, Obstacles and Recommendations

COMBINED MODELLING OF MULTIPLE TRANSPORTATION INFRASTRUCTURE WITHIN 3D CITY MODELS AND ITS IMPLEMENTATION IN CITYGML 3.0


Microstructure Diffusion Toolbox

Challenges for biophysical modeling of microstructure

Sleep quality relates to emotional reactivity via intracortical myelination

Multimodal and multicontrast image fusion via deep generative models

Reliability on multiband diffusion NODDI models: A test retest study on children and adults

Neurite Orientation Dispersion and Density Imaging in Multiple Sclerosis: A Systematic Review

Journal of magnetic resonance imaging : JMRI

GAMER-MRI in Multiple Sclerosis Identifies the Diffusion-Based Microstructural Measures That Are Most Sensitive to Focal Damage: A Deep-Learning-Based Analysis and Clinico-Biological Validation

Fast quantification of uncertainty in non-linear diffusion MRI models for artifact detection and more power in group studies

Multishell diffusion MRI reveals whole‐brain white matter changes in HIV


Unofficial PyTorch implementation of Google AI's VoiceFilter system

VoiceFilter: Targeted Voice Separation by Speaker-Conditioned Spectrogram Masking

VoiceFilter-Lite: Streaming Targeted Voice Separation for On-Device Speech Recognition

Neural Target Speech Extraction: An overview

Cotatron: Transcription-Guided Speech Encoder for Any-to-Many Voice Conversion without Parallel Data

X-TaSNet: Robust and Accurate Time-Domain Speaker Extraction Network

Multimodal Target Speech Separation with Voice and Face References

A Near-Real-Time Processing Ego Speech Filtering Pipeline Designed for
  Speech Interruption During Human-Robot Interaction


Natural language detection library for Go

Understanding Longitudinal Behaviors of Toxic Accounts on Reddit

Twits, Toxic Tweets, and Tribal Tendencies: Trends in Politically Polarized Posts on Twitter

Sub-Standards and Mal-Practices: Misinformation's Role in Insular, Polarized, and Toxic Interactions


Official Implement of "ADBench: Anomaly Detection Benchmark", NeurIPS 2022.

ADBench: Anomaly Detection Benchmark

Deep Anomaly Detection under Labeling Budget Constraints

TOD: GPU-accelerated Outlier Detection via Tensor Operations

Zero-Shot Anomaly Detection via Batch Normalization

OptIForest: Optimal Isolation Forest for Anomaly Detection

Unsupervised Anomaly Detection with Rejection

Anomaly Detection with Variance Stabilized Density Estimation

Calculating the matrix profile from noisy data


R package for extracting and visualizing mutational patterns in base substitution catalogues

MutationalPatterns: comprehensive genome-wide analysis of mutational processes

Transient commensal clonal interactions can drive tumor metastasis

Stratification of HPV‐associated and HPV‐negative oropharyngeal squamous cell carcinomas based on DNA methylation epigenotypes

The chemotherapeutic drug CX-5461 is a potent mutagen in cultured human cells

MutationalPatterns: an integrative R package for studying patterns in base substitution catalogues

The cytidine deaminase APOBEC3G drives cancer mutagenesis and clonal evolution in bladder cancer


A wrapper around Cutadapt and FastQC to consistently apply adapter and quality trimming to FastQ files, with extra functionality for RRBS data

Metformin Restores CNS Remyelination Capacity by Rejuvenating Aged Stem Cells

Targeted isolation and cultivation of uncultivated bacteria by reverse genomics

Remodeling of epigenome and transcriptome landscapes with aging in mice reveals widespread induction of inflammatory responses

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity

Pan-arthropod analysis reveals somatic piRNAs as an ancestral defence against transposable elements

Genomic surveillance for hypervirulence and multi-drug resistance in invasive Klebsiella pneumoniae from South and Southeast Asia

The Implication of Early Chromatin Changes in X Chromosome Inactivation

ReMap 2022: a database of Human, Mouse, Drosophila and Arabidopsis regulatory regions from an integrative analysis of DNA-binding sequencing experiments

Zenodo (CERN European Organization for Nuclear Research)

Characterization of antimicrobial-resistant Gram-negative bacteria that cause neonatal sepsis in seven low- and middle-income countries

Viable bacterial colonization is highly limited in the human intestine in utero


Space-efficient pseudoalignment with a colored de Bruijn graph

Themisto: a scalable colored k-mer index for sensitive pseudoalignment against hundreds of thousands of bacterial genomes

Bacterial genomic epidemiology with mixed samples

Genomic Epidemiology with Mixed Samples


Deep Learning Toolkit for Medical Image Analysis

An overview of deep learning in medical imaging focusing on MRI

HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation

Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation

DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images

Multi-Scale Attentional Network for Multi-Focal Segmentation of Active Bleed after Pelvic Fractures

The use of deep learning in medical imaging to improve spine care: A scoping review of current literature and clinical applications


Python package for the creation, manipulation, and learning of Causal DAGs

Differentiable Causal Discovery from Interventional Data

Consistency Guarantees for Greedy Permutation-Based Causal Inference Algorithms

Efficient Neural Causal Discovery without Acyclicity Constraints

Amortized Inference for Causal Structure Learning

Large-Scale Differentiable Causal Discovery of Factor Graphs

Matching a Desired Causal State via Shift Interventions

Active learning for optimal intervention design in causal models

BaCaDI: Bayesian Causal Discovery with Unknown Interventions

Causal inference in drug discovery and development

A Versatile Causal Discovery Framework to Allow Causally-Related Hidden Variables


Official Pytorch repository for Extreme Compression of Large Language Models via Additive Quantization https://arxiv.org/pdf/2401.06118.pdf and PV-Tuning: Beyond Straight-Through Estimation for Extreme LLM Compression https://arxiv.org/abs/2405.14852

EfficientQAT: Efficient Quantization-Aware Training for Large Language
  Models


Tiny Differentiable Simulator is a header-only C++ and CUDA physics library for reinforcement learning and robotics with zero dependencies.

gradSim: Differentiable simulation for system identification and visuomotor control

Gradients are Not All You Need

Interactive Differentiable Simulation

Efficient Differentiable Simulation of Articulated Bodies

Augmenting Differentiable Simulators with Neural Networks to Close the Sim2Real Gap

Inferring Articulated Rigid Body Dynamics from RGBD Video

Differentiable and Learnable Robot Models

Certifiable Robot Design Optimization using Differentiable Programming

Follow the Gradient: Crossing the Reality Gap using Differentiable Physics (RealityGrad)

Differentiable Forward Kinematics for TensorFlow 2


DDFacet Imaging Project

The LOFAR Two-meter Sky Survey: Deep Fields Data Release 1

Primary beam effects of radio astronomy antennas - II. Modelling MeerKAT L-band beams

Monthly Notices of the Royal Astronomical Society

LOFAR observations of the XMM-LSS field

The twisted jets of Circinus X-1

Monthly notices of the Royal Astronomical Society

MERGHERS pilot: MeerKAT discovery of diffuse emission in nine massive Sunyaev-Zel'dovich-selected galaxy clusters from ACT

The LOFAR LBA Sky Survey: Deep Fields I. The Boötes Field

LOFAR Deep Fields: probing a broader population of polarized radio galaxies in ELAIS-N1

Mining Mini-Halos with MeerKAT I. Calibration and Imaging

A Multiwavelength Dynamical State Analysis of ACT-CL J0019.6+0336

LOFAR HBA observations of the Euclid Deep Field North (EDFN)


Renewable Energy Potential (reV) Model

The Renewable Energy Potential (reV) Model: A Geospatial Platform for Technical Potential and Supply Curve Modeling

NREL/reV: Offshore Overhaul to use NRWAL and drop ORCA


Accelerated finite element flow solvers

NekRS, a GPU-Accelerated Spectral Element Navier-Stokes Solver

Scalability of High-Performance PDE Solvers

GPU Algorithms for Efficient Exascale Discretizations

Tuning Spectral Element Preconditioners for Parallel Scalability on GPUs

Initial Guesses for Sequences of Linear Systems in a GPU-Accelerated Incompressible Flow Solver

Towards Exascale for Wind Energy Simulations

HipBone: A performance-portable GPU-accelerated C++ version of the NekBone benchmark

Stopping Criteria for the Conjugate Gradient Algorithm in High-Order Finite Element Methods


The consequences of climate change, especially the dry and hot summers, are putting a strain on Berlin's ecosystem. Our urban trees are drying out and suffering long-term damage. Gieß den Kiez is made to enable coordinated citizen participation in the irrigation of urban trees.


A collection of robotics simulation environments for reinforcement learning

Causal Reinforcement Learning: A Survey

Challenges for Reinforcement Learning in Quantum Computing

Learning to Reach Goals via Diffusion

Efficient Sparse-Reward Goal-Conditioned Reinforcement Learning with a High Replay Ratio and Regularization

Open-Source Reinforcement Learning Environments Implemented in MuJoCo with Franka Manipulator


中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

Analogical Reasoning on Chinese Morphological and Semantic Relations

Learning to Predict Charges for Criminal Cases with Legal Basis

Empirical Methods in Natural Language Processing

A Neural Multi-digraph Model for Chinese NER with Gazetteers

Meeting of the Association for Computational Linguistics

Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions

Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension

Interpretable Rationale Augmented Charge Prediction System

International Conference on Computational Linguistics

Text mining for social science - The state and the future of computational text analysis in sociology.

A Comprehensive Survey on Process-Oriented Automatic Text Summarization
  with Exploration of LLM-Based Methods

Collecting Indicators of Compromise from Unstructured Text of Cybersecurity Articles using Neural-Based Sequence Labelling

Inter-sentence and Implicit Causality Extraction from Chinese Corpus

Pacific-Asia Conference on Knowledge Discovery and Data Mining


Pilot program for CVE submission through GitHub. CVE Record Submission via Pilot PRs ending 6/30/2023

RelExt: Relation Extraction using Deep Learning approaches for Cybersecurity Knowledge Graph Improvement

Creating Cybersecurity Knowledge Graphs From Malware After Action Reports

Automated Mapping of CVE Vulnerability Records to MITRE CWE Weaknesses

On the Effectiveness of Clone Detection for Detecting IoT-related Vulnerable Clones


⚡FlashRAG: A Python Toolkit for Efficient RAG Research

REPLUG: Retrieval-Augmented Black-Box Language Models

Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Interleaving Retrieval with Chain-of-Thought Reasoning for Knowledge-Intensive Multi-Step Questions

Active Retrieval Augmented Generation

Enhancing Retrieval-Augmented Large Language Models with Iterative Retrieval-Generation Synergy

Making Retrieval-Augmented Language Models Robust to Irrelevant Context

LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

RECOMP: Improving Retrieval-Augmented LMs with Compression and Selective Augmentation

Adaptive-RAG: Learning to Adapt Retrieval-Augmented Large Language Models through Question Complexity

Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In


Fast-GBS: a new pipeline for the efficient and highly accurate calling of SNPs from genotyping-by-sequencing data

Uridylation by TUT4/7 Restricts Retrotransposition of Human LINE-1s

A comparison of genotyping-by-sequencing analysis methods on low-coverage crop datasets shows advantages of a new workflow, GB-eaSy

Dietary Bacillus spp. enhanced growth and disease resistance of weaned pigs by modulating intestinal microbiota and systemic immunity

Genome-Wide Association and Genomic Prediction for Fry Color in Potato

Genome-Wide High-Throughput Screening to Investigate Essential Genes Involved in Methicillin-Resistant Staphylococcus aureus Sequence Type 398 Survival

Phytophthora betacei, a new species within Phytophthora clade 1c causing late blight on Solanum betaceum in Colombia

Persoonia - Molecular Phylogeny and Evolution of Fungi

Mitochondrial Genomes from New Zealand’s Extinct Adzebills (Aves: Aptornithidae: Aptornis) Support a Sister-Taxon Relationship with the Afro-Madagascan Sarothruridae

Genetic diversity and phylogeny of South African Meloidogyne populations using genotyping by sequencing

Genotyping of Plasmodiophora brassicae reveals the presence of distinct populations


The Llama 3 Herd of Models

DeepSeek-Coder-V2: Breaking the Barrier of Closed-Source Models in Code Intelligence

Scaling Synthetic Data Creation with 1,000,000,000 Personas

LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report

MindStar: Enhancing Math Reasoning in Pre-trained LLMs at Inference Time

Eliminating Position Bias of Language Models: A Mechanistic Approach

Can Large Language Models Understand Symbolic Graphics Programs?

Skywork-Math: Data Scaling Laws for Mathematical Reasoning in Large
  Language Models -- The Story Goes On

Iteration of Thought: Leveraging Inner Dialogue for Autonomous Large
  Language Model Reasoning