Extracting tidally-constrained annual shorelines and robust rates of coastal change from freely available Earth observation data at continental scale

Extracting the intertidal extent and topography of the Australian coastline from a 28 year time series of Landsat observations

Mapping Australia's dynamic coastline at mean sea level using three decades of Landsat imagery

Between the tides: Modelling the elevation of Australia's exposed intertidal zone at continental scale

Sub-Pixel Waterline Extraction: Characterising Accuracy and Sensitivity to Indices and Spectra

Geomorphic insights into Australia's coastal change using a national dataset derived from the multi-decadal Landsat archive


A small library to modify all page-table levels of all processes from user space for x86_64 and ARMv8.

JackHammer: Efficient Rowhammer on Heterogeneous FPGA-CPU Platforms

Understanding TEE Containers, Easy to Use? Hard to Trust

ACAI: Protecting Accelerator Execution with Arm Confidential Computing Architecture

Domain Page-Table Isolation

Layered Binary Templating: Efficient Detection of Compiler- and Linker-introduced Leakage


Annotation helper tool for the manual curation of transposable element consensus sequences

Duplication and Specialization of NUDX1 in Rosaceae Led to Geraniol Production in Rose Petals

Ancient diversity in host-parasite interaction genes in a model parasitic nematode

Transposable Element Interactions Shape the Ecology of the Deer Mouse Genome

A pangenome-guided manually curated library of transposable elements for Zymoseptoria tritici

Zenodo (CERN European Organization for Nuclear Research)


Implementation of BERT that could load official pre-trained models for feature extraction and prediction

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

Parameter-Efficient Transfer Learning for NLP

WiC-TSV: An Evaluation Benchmark for Target Sense Verification of Words in Context

LISAC FSDM-USMBA Team at SemEval-2020 Task 12: Overcoming AraBERT’s pretrain-finetune discrepancy for Arabic offensive language identification

International Workshop on Semantic Evaluation

False News Detection on Social Media

NUAA-QMUL at SemEval-2020 Task 8: Utilizing BERT and DenseNet for Internet Meme Emotion Analysis

Towards a corpus for credibility assessment in software practitioner blog articles

What can we learn from a Chinese social media used by glaucoma patients?

Analyzing Code Embeddings for Coding Clinical Narratives

Meeting of the Association for Computational Linguistics


Examples, tutorials and use cases for Marian, including our WMT-2017/18 baselines.

Sockeye: A Toolkit for Neural Machine Translation

Robust Neural Machine Translation: Modeling Orthographic and Interpunctual Variation

Hybrid Data-Model Parallel Training for Sequence-to-Sequence Recurrent Neural Network Machine Translation

Machine Translation Customization via Automatic Training Data Selection from the Web

The University of Helsinki submissions to the IWSLT 2018 low-resource translation task

International Workshop on Spoken Language Translation


HOHQMesh.jl is a Julia wrapper for the HOHQMesh mesh generator, which allows to produce curved quadrilateral and hexahedral meshes for high-order numerical simulations.

Adaptive numerical simulations with Trixi.jl: A case study of Julia for scientific computing

An entropy stable discontinuous Galerkin method for the two-layer shallow water equations on curvilinear meshes

On the robustness of high-order upwind summation-by-parts methods for nonlinear conservation laws

Efficient discretization of the Laplacian on complex geometries


Automated lung segmentation in CT

Automatic lung segmentation in routine imaging is primarily a data diversity problem, not a methodology problem

Integrative Analysis for COVID-19 Patient Outcome Prediction

Automatic lung segmentation in routine imaging is a data diversity problem, not a methodology problem

Lung Cancer Segmentation With Transfer Learning: Usefulness of a Pretrained Model Constructed From an Artificial Dataset Generated Using a Generative Adversarial Network

Association of AI quantified COVID-19 chest CT and patient outcome

International journal of computer assisted radiology and surgery

Comparative study of deep learning methods for the automatic segmentation of lung, lesion and lesion type in CT scans of COVID-19 patients

Development and clinical implementation of tailored image analysis tools for COVID-19 in the midst of the pandemic: The synergetic effect of an open, clinically embedded software development platform and machine learning

Geometric Visual Similarity Learning in 3D Medical Image Self-supervised Pre-training

An Exploratory Characterization of Bugs in COVID-19 Software Projects

Classification Performance for COVID Patient Prognosis from Automatic AI Segmentation—A Single-Center Study


Code to evaluate and tune SPARK VIO pipeline.

Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping

3D Dynamic Scene Graphs: Actionable Spatial Perception with Places, Objects, and Humans

Incremental Visual-Inertial 3D Mesh Generation with Structural Regularities


All-in-one text de-duplication

Optimal Densification for Fast and Accurate Minwise Hashing

CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages

IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages

Large Malaysian Language Model Based on Mistral for Enhanced Local Language Understanding

Sailor: Open Language Models for South-East Asia

Sequence-to-Sequence Spanish Pre-trained Language Models


[EMNLP 2021] SimCSE: Simple Contrastive Learning of Sentence Embeddings https://arxiv.org/abs/2104.08821

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings

TSDAE: Using Transformer-based Sequential Denoising Auto-Encoder for Unsupervised Sentence Embedding Learning

AlignScore: Evaluating Factual Consistency with a Unified Alignment Function

Learning Dense Representations of Phrases at Scale

Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics

PCL: Peer-Contrastive Learning with Diverse Augmentations for Unsupervised Sentence Embeddings

EASE: Entity-Aware Contrastive Learning of Sentence Embedding

Virtual Augmentation Supported Contrastive Learning of Sentence Representations


PINpointing Orbit Crossing Collapsed Hierarchical Objects

Comparing approximate methods for mock catalogues and covariance matrices II: power spectrum multipoles

Monthly notices of the Royal Astronomical Society

Comparing approximate methods for mock catalogues and covariance matrices – III: bispectrum

Euclid: Modelling massive neutrinos in cosmology – a code comparison

Journal of Cosmology and Astroparticle Physics

Detecting the HI Power Spectrum in the Post-Reionization Universe with SKA-Low

Testing the reliability of fast methods for weak lensing simulations: wl-moka on pinocchio

Monthly Notices of the Royal Astronomical Society

Euclid: Fast two-point correlation function covariance through linear construction


Bidirectional Long-Short Term Memory tagger (bi-LSTM) (in DyNet) -- hierarchical (with word and character embeddings)

Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss

Learning to select data for transfer learning with Bayesian Optimization

On-the-fly Operation Batching in Dynamic Computation Graphs

Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging

The Lacunae of Danish Natural Language Processing

Nordic Conference of Computational Linguistics

A General-Purpose Tagger with Convolutional Neural Networks

ALL-IN-1: Short Text Classification with One Model for All Languages

Deep Learning Transformer Architecture for Named Entity Recognition on Low Resourced Languages: State of the art results

Improving neural tagging with lexical information

International Workshop/Conference on Parsing Technologies

Bornholmsk Natural Language Processing: Resources and Tools


Batch effects and the effective design of single-cell gene expression studies

Gene length and detection bias in single cell RNA sequencing protocols

Statistical methods for analysis of single-cell RNA-sequencing data

Identifying Differentially Expressed Genes of Zero Inflated Single Cell RNA Sequencing Data Using Mixed Model Score Tests


Utility for behavioral and representational analyses of Language Models

minicons: Enabling Flexible Behavioral and Representational Analyses of Transformer Language Models

A Better Way to Do Masked Language Model Scoring

COMPS: Conceptual Minimal Pair Sentences for testing Robust Property Knowledge and its Inheritance in Pre-trained Language Models

Language model acceptability judgements are not always robust to context

Experimental Contexts Can Facilitate Robust Semantic Property Inference in Language Models, but Inconsistently

Are Frequent Phrases Directly Retrieved like Idioms? An Investigation with Self-Paced Reading and Language Models

Generating novel experimental hypotheses from language models: A case study on cross-dative generalization


Workshop on measuring, analyzing, and visualizing the 3D genome with Hi-C data.

Iterative correction of Hi-C data reveals hallmarks of chromosome organization

HiGlass: web-based visual exploration and analysis of genome interaction maps

The Hitchhiker’s guide to Hi-C analysis: Practical guidelines

Hi-C 2.0: An optimized Hi-C procedure for high-resolution genome-wide mapping of chromosome conformation

Liquid chromatin Hi-C characterizes compartment-dependent chromatin interaction dynamics

HiPiler: Visual Exploration of Large Genome Interaction Matrices with Interactive Small Multiples

Iteratively improving Hi-C experiments one step at a time

Three invariant Hi-C interaction patterns: applications to genome assembly


The coronavirus dataset

Measuring Time-Varying Effective Reproduction Numbers for COVID-19 and Their Relationship with Movement Control Order in Malaysia

International journal of environmental research and public health

Predicting the Incidence of COVID-19 Using Data Mining

Sparse HP Filter: Finding Kinks in the COVID-19 Contact Rate

Predicting the mortality due to Covid-19 by the next month for Italy, Iran and South Korea; a simulation study

Early and ongoing importations of SARS-CoV-2 in Canada

An actuarial approach for modeling pandemic risk

COVID-19 Pandemic Outbreak in the Subcontinent: A data-driven analysis

Statistical Ambiguities in Epidemics of Coronavirus Disease 2019 (COVID-19)

Nonlinear models: a case of the COVID-19 confirmed rates in top 8 worst affected countries


Decision Intelligence Platform for Autonomous Driving simulation.

SafeBench: A Benchmarking Platform for Safety Evaluation of Autonomous Vehicles

ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling

Learning to Drive by Watching YouTube Videos: Action-Conditioned Contrastive Policy Pretraining

Choose Your Simulator Wisely: A Review on Open-source Simulators for Autonomous Driving

Scenario-Based Curriculum Generation for Multi-Agent Autonomous Driving


A software system that allows to easily design and deploy diverse types of crowdsourcing tasks.

Can The Crowd Identify Misinformation Objectively?

The many dimensions of truthfulness: Crowdsourcing misinformation assessments on a multidimensional scale

The COVID-19 Infodemic: Can the Crowd Judge Recent Misinformation Objectively?

Can the crowd judge truthfulness? A longitudinal study on recent misinformation about COVID-19

Crowd_Frame: A Simple and Complete Framework to Deploy Complex Crowdsourcing Tasks Off-the-shelf


Support for Java, C#, Python

Aird: a computation-oriented mass spectrometry data format enables a higher compression ratio and less decoding time

Aird-ComboComp: A combinable compressor framework with a dynamic-decider for lossy mass spectrometry data compression

Column storage enables edge computation of biological big data on 5G networks.

Mathematical biosciences and engineering : MBE


A collection of tutorials for Snorkel

WRENCH: A Comprehensive Benchmark for Weak Supervision

Learning from Rules Generalizing Labeled Exemplars

Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices

End-to-End Weak Supervision

Active WeaSuL: Improving Weak Supervision with Active Learning


Microbiome Projects from the Department of Genetics and Department of Gastroenterology and Hepatology , University Medical Centre Groningen

Stability of the human gut virome and effect of gluten-free diet

Genetic, parental and lifestyle factors influence telomere length

A Benchmark of Genetic Variant Calling Pipelines Using Metagenomic Short-Read Sequencing

A combination of fecal calprotectin and human beta-defensin 2 facilitates diagnosis and monitoring of inflammatory bowel disease

Unraveling interindividual variation of trimethylamine N‐oxide and its precursors at the population level


Tokenization and pre-processing for Twitter data used to train classifiers.

THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning

North American Chapter of the Association for Computational Linguistics

SeerNet at SemEval-2018 Task 1: Domain Adaptation for Affect in Tweets

Modeling Personality Traits of Filipino Twitter Users

Proceedings of the Second Workshop on Computational Modeling of
          People's Opinions, Personality, and Emotions in Social Media

EvoMSA: A Multilingual Evolutionary Approach for Sentiment Analysis

IEEE Computational Intelligence Magazine

EmoNLP at SemEval-2018 Task 2: English Emoji Prediction with Gradient Boosting Regression Tree Method and Bidirectional LSTM

LT3 at SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter (hatEval)

THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM

Classifying the Informative Behaviour of Emoji in Microblogs

PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018)

YNU_oxz at SemEval-2020 Task 12: Bidirectional GRU with Capsule for Identifying Multilingual Offensive Language


Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)

Meta-Learning with Implicit Gradients

Continuous-Time Meta-Learning with Forward Mode Differentiation

A Representation Learning Perspective on the Importance of Train-Validation Splitting in Meta-Learning

Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning


Official implementation for ICDAR 2024 Oral paper "ICAL: Implicit Character-Aided Learning for Enhanced Handwritten Mathematical Expression Recognition"

Handwritten Mathematical Expression Recognition with Bidirectionally Trained Transformer

When Counting Meets HMER: Counting-Aware Network for Handwritten Mathematical Expression Recognition

CoMER: Modeling Coverage for Transformer-based Handwritten Mathematical Expression Recognition


The StarCraft Multi-Agent Challenge

FACMAC: Factored Multi-Agent Centralised Policy Gradients

ERL-Re^2: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game


Quake III Arena GPL Source Release

Referencing Source Code Artifacts: A Separate Concern in Software Citation

Modified Fast Inverse Square Root and Square Root Approximation Algorithms: The Method of Switching Magic Constants

Zipfian environments for Reinforcement Learning

Fast and Accurate Approximation Methods for Trigonometric and Arctangent Calculations for Low-Performance Computers

How to use Software Heritage for archiving and referencing your source code: guidelines and walkthrough

Stateful Rotor for Continuity of Quaternion and Fast Sensor Fusion Algorithm Using 9-Axis Sensors

On the Functional and Extra-Functional Properties of IMU Fusion Algorithms for Body-Worn Smart Sensors


Variational Graph Recurrent Neural Networks - PyTorch

Discrete-time Temporal Network Embedding via Implicit Hierarchical Learning in Hyperbolic Space

HGWaveNet: A Hyperbolic Graph Neural Network for Temporal Link Prediction

A Comprehensive Survey on Graph Summarization with Graph Neural Networks


An impulse response dataset for binaural synthesis of spatial audio systems on headphones

Audio Spatialisation for Headphones - Impulse Response Dataset


Towards Deep Learning Models Resistant to Adversarial Attacks

Improving Adversarial Robustness via Promoting Ensemble Diversity

Improving Adversarial Robustness of Ensembles with Diversity Training

DVERGE: Diversifying Vulnerabilities for Enhanced Robust Generation of Ensembles

TRS: Transferability Reduced Ensemble via Promoting Gradient Diversity and Model Smoothness

Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks

Spectrum Extraction and Clipping for Implicitly Linear Layers


Fine-Grained Entity Recognizer

A Survey on Deep Learning for Named Entity Recognition

Design Challenges for Entity Linking

Transactions of the Association for Computational Linguistics

Multi-level Representations for Fine-Grained Typing of Knowledge Base Entities

An Empirical Study on Fine-Grained Named Entity Recognition

International Conference on Computational Linguistics

Automatically Annotated Turkish Corpus for Named Entity Recognition and Text Categorization using Large-Scale Gazetteers


End-to-end speech recognition on AISHELL dataset.

Effective Approaches to Attention-based Neural Machine Translation

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Attention-Based Models for Speech Recognition

Listen, Attend and Spell


Detecting and counting small objects - Analysis, review and application to counting

FaceNet: A Unified Embedding for Face Recognition and Clustering

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

Finding Tiny Faces

Detecting and counting tiny faces


[ICML 2019] TensorFlow Code for Self-Supervised Exploration via Disagreement

See, Hear, Explore: Curiosity via Audio-Visual Association

Implicit Generative Modeling for Efficient Exploration

Touch-based Curiosity for Sparse-Reward Tasks


PyTorch implementation of "Scalable Graph Neural Networks via Bidirectional Propagation"

Convolutional Neural Networks on Graphs with Chebyshev Approximation, Revisited

Node Dependent Local Smoothing for Scalable Graph Learning

Approximate Graph Propagation


Human-as-a-security-sensor for harvesting threat intelligence

APTHunter: Detecting Advanced Persistent Threats in Early Stages

Towards an Improved Taxonomy of Attacks Related to Digital Identities and Identity Management Systems


Code for ICLR 2020 paper: "Estimating counterfactual treatment outcomes over time through adversarially balanced representations" by I. Bica, A. M. Alaa, J. Jordon, M. van der Schaar

Estimating Counterfactual Treatment Outcomes over Time Through Adversarially Balanced Representations

Continuous-Time Modeling of Counterfactual Outcomes Using Neural Controlled Differential Equations

Neural Ordinary Differential Equations for Intervention Modeling


Convolutional Neural Networks for Sentence Classification(TextCNN) implements by TensorFlow

A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification

ME-GCN: Multi-dimensional Edge-Embedded Graph Convolutional Networks for Semi-supervised Text Classification


accepted at ICCV 2021

Iterative label cleaning for transductive and semi-supervised few-shot learning

DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning

Adaptive manifold for imbalanced transductive few-shot learning


Technical document that specifies 0x protocol.

SoK: Decentralized Finance (DeFi)

SoK: Decentralized Exchanges (DEX) with Automated Market Maker (AMM) Protocols

A Survey of Layer-Two Blockchain Protocols

Blockchain as IoT Economy Enabler: A Review of Architectural Aspects

Decentralized Finance (DeFi): A Survey

Explainable AI via Learning to Optimize

Who is gambling? Finding cryptocurrency gamblers using multi-modal retrieval methods

International Journal of Multimedia Information Retrieval


Code for EMNLP 2018 paper "Auto-Encoding Dictionary Definitions into Consistent Word Embeddings"

Empirical Methods in Natural Language Processing

Bridging the Defined and the Defining: Exploiting Implicit Lexical Semantic Relations in Definition Modeling

Embedding Structured Dictionary Entries

Proceedings of the First Workshop on Insights from Negative Results in NLP

Multi-Relational Hyperbolic Word Embeddings from Natural Language Definitions


The hap-ibd program detects identity-by-descent segments in phased genotype data.

Accurate detection of identity-by-descent segments in human ancient DNA

Exonic trinucleotide repeat expansions in ZFHX3 cause spinocerebellar ataxia type 4: A poly-glycine disease

Genotyping, sequencing and analysis of 140,000 adults from Mexico City

Probabilistic Estimation of Identity by Descent Segment Endpoints and Detection of Recent Selection


TimeTraveler: Reinforcement Learning for Temporal Knowledge Graph Forecasting

Reinforcement learning on graphs: A survey

Graph Hawkes Transformer for Extrapolated Reasoning on Temporal Knowledge Graphs

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

Learning Latent Relations for Temporal Knowledge Graph Reasoning

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Improving Few-Shot Inductive Learning on Temporal Knowledge Graphs using Confidence-Augmented Reinforcement Learning


The source code for "An Actor Critic Algorithm for Structured Prediction"

An Actor-Critic Algorithm for Sequence Prediction

Convergence Analysis of Distributed Stochastic Gradient Descent with Shuffling

Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement Learning


Official code repository for Instance Selection for GANs.

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Instance Selection for GANs


Official code for Interspeech 2023 paper "Self-supervised Fine-tuning for Improved Content Representations by Speaker-invariant Clustering"

SUPERB: Speech processing Universal PERformance Benchmark

R-Spin: Efficient Speaker and Noise-invariant Representation Learning with Acoustic Pieces


Reinforcement learning for unit commitment

Applying reinforcement learning and tree search to the unit commitment problem

Reinforcement Learning and Mixed-Integer Programming for Power Plant Scheduling in Low Carbon Systems: Comparison and Hybridisation


A Tensorflow / Keras implementation of "Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks" paper

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Memory-free Online Change-point Detection: A Novel Neural Network Approach


Posterior Analysis of Coalescent Trees

The episodic resurgence of highly pathogenic avian influenza H5 virus

Combining genomics and epidemiology to track mumps virus transmission in the United States

H5Nx Viruses Emerged during the Suppression of H5N1 Virus Populations in Poultry


PyTorch Implementation for "Deep Anomaly Detection on Attributed Networks" (SDM2019)

Truncated Affinity Maximization: One-class Homophily Modeling for Graph Anomaly Detection

Generative Semi-supervised Graph Anomaly Detection

Region Anomaly Detection via Spatial and Semantic Attributed Graph in Human Monitoring


A repository for implementing graph network models based on atomic structures.

E(3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials

Quantifying disorder one atom at a time using an interpretable graph neural network paradigm

Score-based denoising for atomic structure identification

Spectroscopy-Guided Discovery of Three-Dimensional Structures of Disordered Materials with Diffusion Models

Score dynamics: scaling molecular dynamics with picosecond timesteps via conditional diffusion model

A snapshot review on soft materials assembly design utilizing machine learning methods


Quantitative analysis of cell motility behaviors

Aging induces aberrant state transition kinetics in murine muscle stem cells

Inferring cell state by quantitative motility analysis reveals a dynamic state system and broken detailed balance

Deep Convolutional and Recurrent Neural Networks for Cell Motility Discrimination and Prediction

Assessing and enhancing migration of human myogenic progenitors using directed iPS cell differentiation and advanced tissue modelling


Implementation for the paper MoCL: Contrastive Learning on Molecular Graph with multi-level Domain Knowledge

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

MoCL: Data-driven Molecular Fingerprint via Knowledge-aware Contrastive Learning from Molecular Graph

Graph-based Molecular Representation Learning

Data Augmentation for Graph Data: Recent Advancements


Code associated with the paper **Two are Better Than One: Joint Entity and Relation Extraction with Table-Sequence Encoders**, at EMNLP 2020

Two are Better than One: Joint Entity and Relation Extraction with Table-Sequence Encoders

Separating Retention from Extraction in the Evaluation of End-to-end Relation Extraction


[AAAI-2024] HARDVS: Revisiting Human Activity Recognition with Dynamic Vision Sensors

Semantic-Aware Frame-Event Fusion based Pattern Recognition via Large Vision-Language Models

Point-Voxel Absorbing Graph Representation Learning for Event Stream based Recognition

Unleashing the Power of CNN and Transformer for Balanced RGB-Event Video Recognition


Generating and Imputing Tabular Data via Diffusion and Flow XGBoost Models

Your Diffusion Model is Secretly a Zero-Shot Classifier

Intriguing properties of generative classifiers

Generating and Imputing Tabular Data via Diffusion and Flow-based Gradient-Boosted Trees

Generative Forests


Guided synteny alignment between duplicated genomes (within specified quota constraint)

The tomato genome sequence provides insights into fleshy fruit evolution

From asymmetrical to balanced genomic diversification during rediploidization: Subgenomic evolution in allotetraploid fish

SynFind: Compiling Syntenic Regions across Any Set of Genomes on Demand

Automated conserved non-coding sequence (CNS) discovery reveals differences in gene content and promoter evolution among grasses


Weakly Supervised Deep Detection Networks (CVPR 2016)

Self-supervised Learning of Geometrically Stable Features Through Probabilistic Introspection

Exploiting Web Images for Weakly Supervised Object Detection


Diagram question answering system described in "A Diagram is Worth a Dozen Images"

A Diagram Is Worth A Dozen Images

Dynamic Graph Generation Network: Generating Relational Knowledge from Diagrams

Beyond LLaVA-HD: Diving into High-Resolution Large Multimodal Models


Official git for "CTAB-GAN: Effective Table Data Synthesizing"

CTAB-GAN+: Enhancing Tabular Data Synthesis

TabuLa: Harnessing Language Models for Tabular Data Synthesis

Generative Modeling of Complex Data

ConvGeN: Convex space learning improves deep-generative oversampling for tabular imbalanced classification on smaller datasets


Tutorial for surrogate gradient learning in spiking neural networks

Training Spiking Neural Networks Using Lessons From Deep Learning

The remarkable robustness of surrogate gradient learning for instilling complex function in spiking neural networks

The Heidelberg Spiking Data Sets for the Systematic Evaluation of Spiking Neural Networks

IEEE transactions on neural networks and learning systems

Surrogate Gradient Learning in Spiking Neural Networks

Brain Inspired Computing: A Systematic Survey and Future Trends

Toward robust and scalable deep spiking reinforcement learning

Explicitly Trained Spiking Sparsity in Spiking Neural Networks with Backpropagation


Semantic Segmentation Models in Pytorch

U-Net: Convolutional Networks for Biomedical Image Segmentation

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Fully Convolutional Networks for Semantic Segmentation

The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation

Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review


Tests for the equality of coefficients of variation from multiple groups

Medical Diagnostic Tests: A Review of Test Anatomy, Phases, and Statistical Treatment of Data

Computational and mathematical methods in medicine

Natural variation in autumn expression is the major adaptive determinant distinguishing Arabidopsis FLC haplotypes

Within-Population Genome Size Variation is Mediated by Multiple Genomic Elements That Segregate Independently during Meiosis

Single cell sequencing of the small and AT-skewed genome of malaria parasites

A diversity outbred F1 mouse model identifies host-intrinsic genetic regulators of response to immune checkpoint inhibitors

Multivariate autoregressive modelling and conditional simulation for temporal uncertainty analysis of an urban water system in Luxembourg


Simple pytorch implementation of FGSM and I-FGSM

Explaining and Harnessing Adversarial Examples

Adversarial examples in the physical world

Adversarial Attack and Defense on Graph Data: A Survey

Adaptive Wiener Filter and Natural Noise to Eliminate Adversarial Perturbation

A Variational Dirichlet Framework for Out-of-Distribution Detection

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

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

Zero Stability Well Predicts Performance of Convolutional Neural Networks

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


Pytorch code for CVPR2021 paper "Few-Shot Incremental Learning with Continually Evolved Classifiers"

Uncertainty-Aware Distillation for Semi-Supervised Few-Shot Class-Incremental Learning

DAC-MR: Data Augmentation Consistency Based Meta-Regularization for Meta-Learning


[WWW 2020] Discriminative Topic Mining via Category-Name Guided Text Embedding

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

Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds

DynaMiTE: Discovering Explosive Topic Evolutions with User Guidance

Findings of the Association for Computational Linguistics: ACL 2023


12000+ manually drawn pixel-level lung segmentations, with and without covid

Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images

Multiscale Attention Guided Network for COVID-19 Diagnosis Using Chest X-Ray Images

Generalization Challenges in Drug-Resistant Tuberculosis Detection from Chest X-rays

On the Composition and Limitations of Publicly Available COVID-19 X-Ray Imaging Datasets

Impartially Validated Multiple Deep-Chain Models to Detect COVID-19 in Chest X-ray Using Latent Space Radiomics

Calibrated bagging deep learning for image semantic segmentation: A case study on COVID-19 chest X-ray image

Unsupervised SAR Imagery Feature Learning with Median Filter-Based Loss Value


pytorch implementation of Parametric Noise Injection for adversarial defense

Parametric Noise Injection: Trainable Randomness to Improve Deep Neural Network Robustness against Adversarial Attack

Adversarial Attack on Attackers: Post-Process to Mitigate Black-Box Score-Based Query Attacks

Unifying Gradients to Improve Real-World Robustness for Deep Networks


[EMNLP 2023 Industry Track] A simple prompting approach that enables the LLMs to run inference in batches.

CommonsenseQA: A Question Answering Challenge Targeting Commonsense Knowledge

Batch Prompting: Efficient Inference with Large Language Model APIs

Semantically Aligned Task Decomposition in Multi-Agent Reinforcement Learning


Pulsar searching

The MPIfR-MeerKAT Galactic Plane survey I -- System setup and early results

The TRAPUM L-band survey for pulsars in Fermi-LAT gamma-ray sources

Monthly Notices of the Royal Astronomical Society

MeerKAT discovery of 13 new pulsars in Omega Centauri

PulsarX: A new pulsar searching package

The MPIfR-MeerKAT Galactic Plane Survey II. The eccentric double neutron star system PSR J1208-5936 and a neutron star merger rate update

TRAPUM upper limits on pulsed radio emission for SMC X-ray pulsar J0058−7218

Monthly notices of the Royal Astronomical Society

Discoveries and timing of pulsars in M62

MeerKAT caught a Mini Mouse: serendipitous detection of a young radio pulsar escaping its birth site

TRAPUM search for pulsars in supernova remnants and pulsar wind nebulae − I. Survey description and initial discoveries


[MICCAI'20] Shape-aware Meta-learning for Generalizing Prostate MRI Segmentation to Unseen Domains & A Well-organized Multi-site Dataset

MS-Net: Multi-Site Network for Improving Prostate Segmentation With Heterogeneous MRI Data

A Lifelong Learning Approach to Brain MR Segmentation Across Scanners and Protocols

The use of deep learning in interventional radiotherapy (brachytherapy): A review with a focus on open source and open data

FIESTA: Fourier-Based Semantic Augmentation with Uncertainty Guidance for Enhanced Domain Generalizability in Medical Image Segmentation


pysster: Learning Sequence And Structure Motifs In Biological Sequences Using Convolutional Neural Networks

pysster: classification of biological sequences by learning sequence and structure motifs with convolutional neural networks

Learning the Regulatory Code of Gene Expression

DeepVISP: Deep Learning for Virus Site Integration Prediction and Motif Discovery


An image captioning model that is inspired by the Show, Attend and Tell paper (https://arxiv.org/abs/1502.03044) and the Sequence Generative Adversarial Network paper (https://arxiv.org/abs/1609.05473)

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

SeqGAN: Sequence Generative Adversarial Nets with Policy Gradient

Improving Image Captioning with Conditional Generative Adversarial Nets

THIRTY-THIRD AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FIRST INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE / NINTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Generating Diverse and Accurate Visual Captions by Comparative Adversarial Learning


Extrapolating Beyond Suboptimal Demonstrations via Inverse Reinforcement Learning from Observations

Safe Imitation Learning via Fast Bayesian Reward Inference from Preferences

Deep Bayesian Reward Learning from Preferences


Universal and Transferable Adversarial Attacks on Aligned Language Models

How Johnny Can Persuade LLMs to Jailbreak Them: Rethinking Persuasion to Challenge AI Safety by Humanizing LLMs

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks

Break the Breakout: Reinventing LM Defense Against Jailbreak Attacks
  with Self-Refinement

Protecting Your LLMs with Information Bottleneck


Pytorch implementations of some general federated optimization methods.

Federated Optimization in Heterogeneous Networks

FedCM: Federated Learning with Client-level Momentum

FedSpeed: Larger Local Interval, Less Communication Round, and Higher Generalization Accuracy

Dynamic Regularized Sharpness Aware Minimization in Federated Learning: Approaching Global Consistency and Smooth Landscape


Implementation of Recovery RL: Safe Reinforcement Learning With Learned Recovery Zones.

Recovery RL: Safe Reinforcement Learning with Learned Recovery Zones

Safe Reinforcement Learning by Imagining the Near Future

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

SRL-VIC: A Variable Stiffness-Based Safe Reinforcement Learning for Contact-Rich Robotic Tasks


NeurIPS 2020, Debiased Contrastive Learning

A Simple Framework for Contrastive Learning of Visual Representations

Debiased Contrastive Learning

Self-Supervised Learning Disentangled Group Representation as Feature

Sharpness & Shift-Aware Self-Supervised Learning


Skeleton-based action recognition models in PyTorch, including Two-Stream CNN, HCN, HCN-Baseline, Ta-CNN and Dynamic GCN

Joint Distance Maps Based Action Recognition With Convolutional Neural Networks

International Conference on Multimedia and Expo

Co-occurrence Feature Learning from Skeleton Data for Action Recognition and Detection with Hierarchical Aggregation

Dynamic GCN: Context-enriched Topology Learning for Skeleton-based Action Recognition

Topology-aware Convolutional Neural Network for Efficient Skeleton-based Action Recognition


MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)

Mobile Sensor Data Anonymization

Protecting Sensory Data against Sensitive Inferences

PROCEEDINGS OF THE WORKSHOP ON PRIVACY BY DESIGN IN DISTRIBUTED SYSTEMS (P2DS'18)

Privacy and Utility Preserving Sensor-Data Transformations

DySan: Dynamically Sanitizing Motion Sensor Data Against Sensitive Inferences through Adversarial Networks

DANA: Dimension-Adaptive Neural Architecture for Multivariate Sensor Data

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

Anonymizing Sensor Data on the Edge: A Representation Learning and Transformation Approach

A Trainable Open-Source Machine Learning Accelerometer Activity Recognition Toolbox: Deep Learning Approach

Comparing Self-Supervised Learning Techniques for Wearable Human Activity Recognition


code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"

Stein Variational Gradient Descent: A General Purpose Bayesian Inference Algorithm

Large-Scale Wasserstein Gradient Flows

Particle-based energetic variational inference


A tool for single-cell data analysis.

Self-supervised contrastive learning for integrative single cell RNA-seq data analysis

Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review

基因组蛋白质组与生物信息学报

Deep Learning in Single-Cell Analysis


The implementation of the papers on dual learning of natural language understanding and generation. (ACL2019,2020; Findings of EMNLP 2020)

Dual Supervised Learning for Natural Language Understanding and Generation

Towards Unsupervised Language Understanding and Generation by Joint Dual Learning

Dual Inference for Improving Language Understanding and Generation


Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting, AAAI 2019, pytorch version

Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions

IEEE Transactions on Intelligent Transportation Systems

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

When Do Contrastive Learning Signals Help Spatio-Temporal Graph Forecasting?

Urban Regional Function Guided Traffic Flow Prediction

Graph Neural Rough Differential Equations for Traffic Forecasting


Original dataset release for CIFAR-10H

The 'Problem' of Human Label Variation: On Ground Truth in Data, Modeling and Evaluation

Active label cleaning for improved dataset quality under resource constraints

SemEval-2021 Task 12: Learning with Disagreements

Zenodo (CERN European Organization for Nuclear Research)

Scaling and Disagreements: Bias, Noise, and Ambiguity

Is the Performance of My Deep Network Too Good to Be True? A Direct Approach to Estimating the Bayes Error in Binary Classification

Do humans and machines have the same eyes? Human-machine perceptual differences on image classification


3D Extension of the Cellpose Algorithm by Stringer et al., 2021.

Cellpose: a generalist algorithm for cellular segmentation

Robust 3D Cell Segmentation: Extending the View of Cellpose

Contributions of deep learning to automated numerical modelling of the interaction of electric fields and cartilage tissue based on 3D images

Frontiers in bioengineering and biotechnology


[AAAI'21] Code release for "Visual Pivoting for (Unsupervised) Entity Alignment".

MEAformer: Multi-modal Entity Alignment Transformer for Meta Modality Hybrid

Rethinking Uncertainly Missing and Ambiguous Visual Modality in Multi-Modal Entity Alignment


Code and Checkpoints for "Generate rather than Retrieve: Large Language Models are Strong Context Generators" in ICLR 2023.

Augmented Large Language Models with Parametric Knowledge Guiding


Python Advanced Differential Evolution

The importance of being constrained: dealing with infeasible solutions in Differential Evolution and beyond

Learning How to Optimize Black-Box Functions With Extreme Limits on the Number of Function Evaluations

An Efficient Global Optimization Algorithm with Adaptive Estimates of the Local Lipschitz Constants

B2Opt: Learning to Optimize Black-box Optimization with Little Budget

GLHF: General Learned Evolutionary Algorithm Via Hyper Functions


Documentation and scripts related to the .nnet file format. This file format specifies a simple text file to define feed-forward, fully-connected, ReLU activated neural networks. Example networks in this format can be found in the Reluplex repository.

Simplifying Neural Networks using Formal Verification

Provable Preimage Under-Approximation for Neural Networks

Verifying Quantized Neural Networks using SMT-Based Model Checking

Compositional Inductive Invariant Based Verification of Neural Network Controlled Systems


Convert NCBI taxonomy dump into lineages

Undinarchaeota illuminate DPANN phylogeny and the impact of gene transfer on archaeal evolution

A comprehensive and quantitative exploration of thousands of viral genomes

A Comparison of Three Different Bioinformatics Analyses of the 16S–23S rRNA Encoding Region for Bacterial Identification

NAD+ biosynthesis in bacteria is controlled by global carbon/nitrogen levels via PII signaling

Proposal of Carbonactinosporaceae fam. nov. within the class Actinomycetia. Reclassification of Streptomyces thermoautotrophicus as Carbonactinospora thermoautotrophica gen. nov., comb. nov.

Interplay between Position-Dependent Codon Usage Bias and Hydrogen Bonding at the 5ʹ End of ORFeomes

Transcriptome Analysis of Amyloodinium ocellatum Tomonts Revealed Basic Information on the Major Potential Virulence Factors


Library - Vanilla, ViT, DeiT, BERT, GPT

Attention Is All You Need

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

Training data-efficient image transformers & distillation through attention


Tutorial on using popular tools for learning about population history

Genomic Approaches Reveal an Endemic Subpopulation of Gray Wolves in Southern China

Conservation Significance of the Rare and Endangered Tree Species, Trigonobalanus doichangensis (Fagaceae)

Genome-Wide SNP Discovery and Population Genetic Analysis of Mesocentrotus nudus in China Seas


Witwicky: An implementation of Transformer in PyTorch.

Overcoming a Theoretical Limitation of Self-Attention

Syntax-Based Attention Masking for Neural Machine Translation

North American Chapter of the Association for Computational Linguistics

Look It Up: Bilingual and Monolingual Dictionaries Improve Neural Machine Translation.

Representing Unordered Data Using Complex-Weighted Multiset Automata

Look It Up: Bilingual Dictionaries Improve Neural Machine Translation


A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

Side Information Fusion for Recommender Systems over Heterogeneous Information Network

Learning with Heterogeneous Side Information Fusion for Recommender Systems.


Voice Conversion Challenge 2020 CycleVAE baseline system

Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram

An Overview of Voice Conversion and Its Challenges: From Statistical Modeling to Deep Learning

Voice Conversion Challenge 2020 –- Intra-lingual semi-parallel and cross-lingual voice conversion –-

Baseline System of Voice Conversion Challenge 2020 with Cyclic Variational Autoencoder and Parallel WaveGAN


COT-GAN: Generating Sequential Data via Causal Optimal Transport

Time-series Generation by Contrastive Imitation

Diffusion-TS: Interpretable Diffusion for General Time Series Generation

Controlling non-stationarity and periodicities in time series generation using conditional invertible neural networks

A spatiotemporal deep neural network for fine-grained multi-horizon wind prediction

Neural networks : the official journal of the International Neural Network Society


Code for the "Grammar Variational Autoencoder" https://arxiv.org/abs/1703.01925

Grammar Variational Autoencoder

Syntax-Directed Variational Autoencoder for Structured Data

ChemTS: an efficient python library for de novo molecular generation

Science and technology of advanced materials

Constrained Generation of Semantically Valid Graphs via Regularizing Variational Autoencoders

Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining

A Model to Search for Synthesizable Molecules

Graph-based Molecular Representation Learning

Improving black-box optimization in VAE latent space using decoder uncertainty

Generative Models Should at Least Be Able to Design Molecules That Dock Well: A New Benchmark

Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation


i-RevNet Pytorch Code

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

i-RevNet: Deep Invertible Networks

Mimic and Fool: A Task-Agnostic Adversarial Attack


Dataset Condensation (ICLR21 and ICML21)

Dataset Condensation with Gradient Matching

Dataset Condensation with Differentiable Siamese Augmentation

Dataset Condensation with Distribution Matching

Privacy for Free: How does Dataset Condensation Help Privacy?

Synthesizing Informative Training Samples with GAN

Learning to Generate Synthetic Training Data using Gradient Matching and Implicit Differentiation

A Comprehensive Study on Dataset Distillation: Performance, Privacy, Robustness and Fairness

Exploring the Impact of Dataset Bias on Dataset Distillation


Stanford sky images and PV power generation dataset for solar forecasting related research and applications

SKIPP'D: a SKy Images and Photovoltaic Power Generation Dataset for Short-term Solar Forecasting

Sky-image-based solar forecasting using deep learning with multi-location data: training models locally, globally or via transfer learning?

Open-Source Ground-based Sky Image Datasets for Very Short-term Solar Forecasting, Cloud Analysis and Modeling: A Comprehensive Survey

SkyGPT: Probabilistic Short-term Solar Forecasting Using Synthetic Sky Videos from Physics-constrained VideoGPT


Masks recombination as detected by ClonalFrameML or Gubbins and draws an SVG

The phylogenetic landscape and nosocomial spread of the multidrug-resistant opportunist Stenotrophomonas maltophilia

Staphylococcus aureus viewed from the perspective of 40,000+ genomes

Genotypic and Phenotypic Diversity of Staphylococcus aureus Isolates from Cystic Fibrosis Patient Lung Infections and Their Interactions with Pseudomonas aeruginosa

Treponema pallidum genome sequencing from six continents reveals variability in vaccine candidate genes and dominance of Nichols clade strains in Madagascar

Whole-Genome-Sequence-Based Characterization of Extensively Drug-Resistant Acinetobacter baumannii Hospital Outbreak

Genetic Determinants of Resistance to Extended-Spectrum Cephalosporin and Fluoroquinolone in Escherichia coli Isolated from Diseased Pigs in the United States

Emergence of a Novel Salmonella enterica Serotype Reading Clonal Group Is Linked to Its Expansion in Commercial Turkey Production, Resulting in Unanticipated Human Illness in North America

Metagenomic analysis of ancient dental calculus reveals unexplored diversity of oral archaeal Methanobrevibacter

Prophage-Mediated Disruption of Genetic Competence in Staphylococcus pseudintermedius

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


Ukb: graph-based WSD and similarity

The risk of sub-optimal use of Open Source NLP Software: UKB is inadvertently state-of-the-art in knowledge-based WSD

Studying the Wikipedia Hyperlink Graph for Relatedness and Disambiguation

Comparative Probing of Lexical Semantics Theories for Cognitive Plausibility and Technological Usefulness

Extraction of common conceptual components from multiple ontologies

Persian-WSD-Corpus: A Sense Annotated Corpus for Persian All-words Word Sense Disambiguation

Whom to Learn From? Graph- vs. Text-based Word Embeddings

Recent Advances in Natural Language Processing

Word Sense Disambiguation Studio: A Flexible System for WSD Feature Extraction


Easy-to-Use Speech MOS predictors

NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and
  Diffusion Models

XTTS: a Massively Multilingual Zero-Shot Text-to-Speech Model

HierSpeech++: Bridging the Gap between Semantic and Acoustic Representation of Speech by Hierarchical Variational Inference for Zero-shot Speech Synthesis

Single-Codec: Single-Codebook Speech Codec towards High-Performance Speech Generation

FlashSpeech: Efficient Zero-Shot Speech Synthesis

LLaMA-Omni: Seamless Speech Interaction with Large Language Models

Llama-VITS: Enhancing TTS Synthesis with Semantic Awareness

EmoSphere-TTS: Emotional Style and Intensity Modeling via Spherical Emotion Vector for Controllable Emotional Text-to-Speech

MUSA: Multi-lingual Speaker Anonymization via Serial Disentanglement

Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio
  Language Model


Faster, modernized fork of the language identification tool langid.py

Can Large Language Models Identify Authorship?

OcWikiDisc: a Corpus of Wikipedia Talk Pages in Occitan

LEIA: Linguistic Embeddings for the Identification of Affect


Collaborative Evolutionary Reinforcement Learning

ERL-Re^2: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation

Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning


TyDi QA contains 200k human-annotated question-answer pairs in 11 Typologically Diverse languages, written without seeing the answer and without the use of translation, and is designed for the training and evaluation of automatic question answering systems. This repository provides evaluation code and a baseline system for the dataset.

TyDi QA: A Benchmark for Information-Seeking Question Answering in Typologically Diverse Languages

Sequential Reptile: Inter-Task Gradient Alignment for Multilingual Learning

Text Rendering Strategies for Pixel Language Models

Does Meta-learning Help mBERT for Few-shot Question Generation in a Cross-lingual Transfer Setting for Indic Languages?

International Conference on Computational Linguistics

Cheetah: Natural Language Generation for 517 African Languages


Various models for handling underexposure, overexposure, super-resolution, shadow removal, etc.

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

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

EnlightenGAN: Deep Light Enhancement without Paired Supervision

Mask-ShadowGAN: Learning to Remove Shadows From Unpaired Data

International Conference on Computer Vision


Efficient GAN-Based Anomaly Detection

Adversarially Learned Anomaly Detection

AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data

The Right Tool for the Job: Open-Source Auditing Tools in Machine Learning

Energy Discrepancies: A Score-Independent Loss for Energy-Based Models


SNARE Dataset with MATCH and LaGOR models

Language Grounding with 3D Objects

Voxel-informed Language Grounding


DSIR large-scale data selection framework for language model training

Data Selection for Language Models via Importance Resampling

A Survey on Data Selection for Language Models

DsDm: Model-Aware Dataset Selection with Datamodels

The Responsible Foundation Model Development Cheatsheet: A Review of Tools & Resources

Data Selection via Optimal Control for Language Models


2013 IEEE CEC Competition on Niching Methods for Multimodal Optimization

A Review of Evolutionary Multi-modal Multi-objective Optimization

IEEE Transactions on Evolutionary Computation

Local Binary Pattern-Based Adaptive Differential Evolution for Multimodal Optimization Problems

Reinforcement Learning-assisted Evolutionary Algorithm: A Survey and Research Opportunities

Simple gravitational particle swarm algorithm for multimodal optimization problems

A Multimodal Differential Evolution Algorithm in Initial Orbit Determination for a Space-Based Too Short Arc

A Scalable, Black-box, Hybrid Genetic Algorithm for Continuous Multimodal Optimization in Moderate Dimensions


PyTrx is a Python object-oriented programme created for the purpose of calculating real-world measurements from oblique images and time-lapse image series. Its primary purpose is to obtain velocities, surface areas, and distances from oblique, optical imagery of glacial environments.

Calving controlled by melt-under-cutting: detailed calving styles revealed through time-lapse observations

Rapidly changing subglacial hydrological pathways at a tidewater glacier revealed through simultaneous observations of water pressure, supraglacial lakes, meltwater plumes and surface velocities

PyTrx: A Python-Based Monoscopic Terrestrial Photogrammetry Toolset for Glaciology

PyTrx: A Python toolbox for deriving velocities, surface areas and
line measurements from oblique imagery in glacial environments


Global Maps of Potential Natural Vegetation based on Machine Learning

Global mapping of potential natural vegetation: an assessment of Machine Learning algorithms for estimating land potential


Semantic Segmentation on the Mapillary Vistas Dataset

MobileNetV2: Inverted Residuals and Linear Bottlenecks

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation


Transcriptionally active HERV-H retrotransposons demarcate topologically associating domains in human pluripotent stem cells

Single-cell epigenome analysis reveals age-associated decay of heterochromatin domains in excitatory neurons in the mouse brain

Topologically Associating Domain Boundaries are Commonly Required for Normal Genome Function


Checking Status of Plant Names based on The Plantlist and More

Spatial phylogenetics of two topographic extremes of the Hengduan Mountains in southwestern China and its implications for biodiversity conservation

Metabolomic Profiles of Essential Oils from Selected Rosa Varieties and Their Antimicrobial Activities

Are dominant plant species more susceptible to leaf‐mining insects? A case study at Saihanwula Nature Reserve, China

Why Are There so Many Plant Species That Transiently Flush Young Leaves Red in the Tropics?

Functional trade‐offs and the phylogenetic dispersion of seed traits in a biodiversity hotspot of the Mountains of Southwest China

Taxonomic, Phylogenetic, and Functional Diversity of Ferns at Three Differently Disturbed Sites in Longnan County, China

Phylogenetic and Functional Traits Verify the Combined Effect of Deterministic and Stochastic Processes in the Community Assembly of Temperate Forests along an Elevational Gradient

Does pollinator dependence decrease along elevational gradients?

Flora diversity survey and establishment of a plant DNA barcode database of Lomas ecosystems in Peru

Phylogenetic Partitioning of Gansu Flora: Unveiling the Core Transitional Zone of Chinese Flora


A compact toolbox for backdoor attacks and defenses.

IBD-PSC: Input-level Backdoor Detection via Parameter-oriented Scaling Consistency

Rethinking Backdoor Attacks on Dataset Distillation: A Kernel Method Perspective

Progressive Poisoned Data Isolation for Training-time Backdoor Defense

PSBD: Prediction Shift Uncertainty Unlocks Backdoor Detection


A community repository for benchmarking Bayesian methods

Gaussian Processes for Big Data

Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo

Differentiable Compositional Kernel Learning for Gaussian Processes

Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors

Improving Hyperparameter Learning under Approximate Inference in Gaussian Process Models


Official PyTorch implementation of "AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks"

SASV 2022: The First Spoofing-Aware Speaker Verification Challenge

SASV Challenge 2022: A Spoofing Aware Speaker Verification Challenge Evaluation Plan

Audio Deepfake Detection: A Survey

Anti-Spoofing Using Transfer Learning with Variational Information Bottleneck

Phase-Aware Spoof Speech Detection Based on Res2Net with Phase Network

Baseline Systems for the First Spoofing-Aware Speaker Verification Challenge: Score and Embedding Fusion

Malafide: a novel adversarial convolutive noise attack against deepfake and spoofing detection systems

EmoFake: An Initial Dataset for Emotion Fake Audio Detection

Audio Anti-Spoofing Detection: A Survey


Learning Gradient Fields for Shape Generation

LION: Latent Point Diffusion Models for 3D Shape Generation

ChartPointFlow for Topology-Aware 3D Point Cloud Generation

PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2021


Ultrafast opacity calculator for exoplanetary atmospheres.

HELIOS-K 2.0 Opacity Calculator and Open-source Opacity Database for Exoplanetary Atmospheres

The Astrophysical Journal Supplement Series

A broadband thermal emission spectrum of the ultra-hot Jupiter WASP-18b

Non-local thermodynamic equilibrium effects determine the upper atmospheric temperature structure of the ultra-hot Jupiter KELT-9b

ExoCAM: A 3D Climate Model for Exoplanet Atmospheres

Observability of evaporating lava worlds

CHEOPS geometric albedo of the hot Jupiter HD 209458 b

The Mantis network

Observability of silicates in volatile atmospheres of super-Earths and sub-Neptunes

Sulfur dioxide in the mid-infrared transmission spectrum of WASP-39b

The Outer Edge of the Venus Zone around Main-sequence Stars


Deep Inversion Validation Library

Computed tomography reconstruction using deep image prior and learned reconstruction methods

LoDoPaB-CT, a benchmark dataset for low-dose computed tomography reconstruction

PatchNR: learning from very few images by patch normalizing flow regularization

Unsupervised Knowledge-Transfer for Learned Image Reconstruction

3D U-NetR: Low Dose Computed Tomography Reconstruction via Deep Learning and 3 Dimensional Convolutions

Imaging based on Compton scattering: model uncertainty and data-driven reconstruction methods

Proj2Proj: self-supervised low-dose CT reconstruction

Boosting Data-Driven Mirror Descent with Randomization, Equivariance, and Acceleration

LoDoPaB-CT Dataset


JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.

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

Offline Reinforcement Learning with Implicit Q-Learning

RvS: What is Essential for Offline RL via Supervised Learning?

The Primacy Bias in Deep Reinforcement Learning

IDQL: Implicit Q-Learning as an Actor-Critic Method with Diffusion Policies

Cal-QL: Calibrated Offline RL Pre-Training for Efficient Online Fine-Tuning

Adaptive Behavior Cloning Regularization for Stable Offline-to-Online Reinforcement Learning

Efficient Deep Reinforcement Learning Requires Regulating Overfitting

Safe Offline Reinforcement Learning with Feasibility-Guided Diffusion Model

Understanding the Complexity Gains of Single-Task RL with a Curriculum


Codebase for Evolutionary Reinforcement Learning (ERL) from the paper "Evolution-Guided Policy Gradients in Reinforcement Learning" published at NeurIPS 2018

Evolution-Guided Policy Gradient in Reinforcement Learning

CEM-RL: Combining evolutionary and gradient-based methods for policy search

ERL-Re^2: Efficient Evolutionary Reinforcement Learning with Shared State Representation and Individual Policy Representation

A Surrogate-Assisted Controller for Expensive Evolutionary Reinforcement Learning

Attraction-Repulsion Actor-Critic for Continuous Control Reinforcement Learning

Rethinking Population-assisted Off-policy Reinforcement Learning

Proceedings of the Genetic and Evolutionary Computation Conference


Critical difference diagram with Wilcoxon-Holm post-hoc analysis.

Deep learning for time series classification: a review

Reservoir Computing Approaches for Representation and Classification of Multivariate Time Series

Deep Neural Network Ensembles for Time Series Classification

International Joint Conference on Neural Network

What is the best RNN-cell structure to forecast each time series behavior?

Contralaterally Enhanced Networks for Thoracic Disease Detection

POPNASv3: a Pareto-Optimal Neural Architecture Search Solution for Image and Time Series Classification

Amercing: An Intuitive, Elegant and Effective Constraint for Dynamic Time Warping

ATCN: Resource-efficient Processing of Time Series on Edge


A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

Mastering Atari, Go, chess and shogi by planning with a learned model

Deep Reinforcement Learning

Visualizing MuZero Models

Epistemic Monte Carlo Tree Search


Similarity Weighted Nonnegative Embedding (SWNE), a method for visualizing high dimensional datasets

Visualizing and interpreting single-cell gene expression datasets with Similarity Weighted Nonnegative Embedding

Deciphering spatial genomic heterogeneity at a single cell resolution in multiple myeloma

Spatiotemporal dynamics of inner ear sensory and non-sensory cells revealed by single-cell transcriptomics


Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)

Towards Deep Learning Models Resistant to Adversarial Attacks

Theoretically Principled Trade-off between Robustness and Accuracy

Bag of Tricks for Adversarial Training

Curriculum Adversarial Training

A2: Efficient Automated Attacker for Boosting Adversarial Training

Calibrated Adversarial Training

Advancing Adversarial Training by Injecting Booster Signal

IEEE transactions on neural networks and learning systems


Hebrew Bible + Linguistic annotations in text-fabric format. Fixed and ongoing versions.

HELFI: a Hebrew-Greek-Finnish Parallel Bible Corpus with Cross-Lingual Morpheme Alignment

Coding the Hebrew Bible

Research Data Journal for the Humanities and Social Sciences

Text-fabric: handling Biblical data with IKEA logistics


Code for the paper Multimodal Transformer Networks for End-to-End Video-Grounded Dialogue Systems (ACL19)

Meeting of the Association for Computational Linguistics

KPQA: A Metric for Generative Question Answering Using Keyphrase Weights


Total Power Map to Visibilities (TP2VIS): Joint Deconvolution of ALMA 12 m, 7 m, and Total Power Array Data

Publications of the Astronomical Society of the Pacific

Data Combination: Interferometry and Single-dish Imaging in Radio Astronomy

Internal Structures of Molecular Clouds in the LMC Revealed by ALMA

A chemical map of the outbursting V883 Ori system: vertical and radial structures

Monthly notices of the Royal Astronomical Society


Unsupervised Discovery of Object Radiance Fields

Multi-view Consistent Generative Adversarial Networks for Compositional 3D-Aware Image Synthesis

International Journal of Computer Vision

Neural Radiance Field Codebooks


Code for experiments on OpenBookQA from the EMNLP 2018 paper  "Can a Suit of Armor Conduct Electricity? A New Dataset for Open Book Question Answering"

Explanations from Large Language Models Make Small Reasoners Better

Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches

Commonsense Reasoning for Natural Language Understanding: A Survey of Benchmarks, Resources, and Approaches

Repurposing Entailment for Multi-Hop Question Answering Tasks

DataComp-LM: In search of the next generation of training sets for
  language models


k-Medoids clustering in Rust with the FasterPAM algorithm

Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms

Fast and Eager k-Medoids Clustering: O(k) Runtime Improvement of the PAM, CLARA, and CLARANS Algorithms

Fast k-medoids Clustering in Rust and Python

Medoid Silhouette clustering with automatic cluster number selection

Clustering by Direct Optimization of the Medoid Silhouette


Tool for Rating Interesting Candidate Exoplanets and Reliability Analysis of Transits Originating from Proximate Stars

Vetting of 384 TESS Objects of Interest with TRICERATOPS and Statistical Validation of 12 Planet Candidates

Two temperate super-Earths transiting a nearby late-type M dwarf

TOI-1759 b: A transiting sub-Neptune around a low mass star characterized with SPIRou and TESS

TOI-1696: A Nearby M4 Dwarf with a 3 R
               ⊕ Planet in the Neptunian Desert

pterodactyls: A Tool to Uniformly Search and Vet for Young Transiting Planets in TESS Primary Mission Photometry

A systematic validation of hot Neptunes in TESS data

A sub-Neptune transiting the young field star HD 18599 at 40 pc


Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.


Prediction of neo-epitope immunogenicity reveals TCR recognition determinants and provides insight into immunoediting

Computational cancer neoantigen prediction: current status and recent advances

Untranslated regions (UTRs) are a potential novel source of neoantigens for personalised immunotherapy


Implementation of Truncated Quantile Critics method for continuous reinforcement learning. https://bayesgroup.github.io/tqc/

Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics

For SALE: State-Action Representation Learning for Deep Reinforcement Learning

Adaptively Calibrated Critic Estimates for Deep Reinforcement Learning

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

Balancing Value Underestimation and Overestimation with Realistic Actor-Critic


Repo about neural networks for images handling

Densely Connected Convolutional Networks

Knowledge Distillation with Feature Maps for Image Classification

Dropout is a special case of the stochastic delta rule: faster and more accurate deep learning


A Simple, High-efficiency, Strong framework for person re-Identification.

Learning 3D Shape Feature for Texture-insensitive Person Re-identification

Contextual Non-Local Alignment over Full-Scale Representation for Text-Based Person Search

Rethinking Temporal Fusion for Video-based Person Re-identification on Semantic and Time Aspect

One for More: Selecting Generalizable Samples for Generalizable ReID Model

Devil's in the Details: Aligning Visual Clues for Conditional Embedding in Person Re-Identification


[NeurIPS 2023] Tree of Thoughts: Deliberate Problem Solving with Large Language Models

GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via
  Game-Theoretic Evaluations

Reason for Future, Act for Now: A Principled Framework for Autonomous LLM Agents with Provable Sample Efficiency

Demystifying Chains, Trees, and Graphs of Thoughts

Agent Design Pattern Catalogue: A Collection of Architectural Patterns
  for Foundation Model based Agents

Harnessing Large Language Models for Software Vulnerability Detection: A
  Comprehensive Benchmarking Study

MACM: Utilizing a Multi-Agent System for Condition Mining in Solving
  Complex Mathematical Problems


Capacity Expansion Model and Optimiser for the Australian National Energy Market


Tools and pipelines tailored to using PacBio HiFi Reads for metagenomics

Finding the right fit: evaluation of short-read and long-read sequencing approaches to maximize the utility of clinical microbiome data

Longitudinal, multi-platform metagenomics yields a high-quality genomic catalog and guides an in vitro model for cheese communities

Strainy: phasing and assembly of strain haplotypes from long-read metagenome sequencing

BASALT refines binning from metagenomic data and increases resolution of genome-resolved metagenomic analysis

Melon: metagenomic long-read-based taxonomic identification and quantification using marker genes


Pytorch implementation of convolutional neural network visualization techniques

Interpretable classification of Alzheimer’s disease pathologies with a convolutional neural network pipeline

Intriguing Findings of Frequency Selection for Image Deblurring

Use of a Capsule Network to Detect Fake Images and Videos

Self-Supervised Learning Disentangled Group Representation as Feature

Explainable AI for Bioinformatics: Methods, Tools, and Applications

Explaining Classifiers using Adversarial Perturbations on the Perceptual Ball

A Double Siamese Framework for Differential Morphing Attack Detection

Exploring the potential of transfer learning for metamodels of heterogeneous material deformation

TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models

Semiotic Aggregation in Deep Learning


Unsupervised correction of gene independent cell responses to CRISPR-cas9

Unsupervised correction of gene-independent cell responses to CRISPR-Cas9 targeting

Genome-wide CRISPR screens of oral squamous cell carcinoma reveal fitness genes in the Hippo pathway

An interactive web application for processing, correcting, and visualizing genome-wide pooled CRISPR-Cas9 screens


Simple Black-box Adversarial Attacks

Random Noise Defense Against Query-Based Black-Box Attacks

BlackboxBench: A Comprehensive Benchmark of Black-box Adversarial Attacks


DockQ is a single continuous quality measure for Protein, Nucleic Acids and Small Molecule Docking Models

DockQ: A Quality Measure for Protein-Protein Docking Models

Learning Harmonic Molecular Representations on Riemannian Manifold

Improved cluster ranking in protein–protein docking using a regression approach

Computational and structural biotechnology journal

DProQ: A Gated-Graph Transformer for Protein Complex Structure Assessment

Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction

Structural assembly of the bacterial essential interactome


N-body fortran integrator

Seven temperate terrestrial planets around the nearby ultracool dwarf star TRAPPIST-1

Planetesimal rings as the cause of the Solar System's planetary architecture

Dry late accretion inferred from Venus’s coupled atmosphere and internal evolution

On the role of resonances in polluting white dwarfs by asteroids

Monthly Notices of the Royal Astronomical Society

A new photometric and dynamical study of the eclipsing binary star HW Virginis

Formation of polar circumstellar discs in binary star systems

Water transport throughout the TRAPPIST-1 system: the role of planetesimals

Formation of the warped debris disc around β Pictoris


Automated Algorithm Selection on Continuous Black-Box Problems by Combining Exploratory Landscape Analysis and Machine Learning

Comprehensive Feature-Based Landscape Analysis of Continuous and Constrained Optimization Problems Using the R-Package flacco

A Survey of Advances in Landscape Analysis for Optimisation

Trajectory-based Algorithm Selection with Warm-starting

Neural Network Design: Learning from Neural Architecture Search


Package designed to detect and quantify water quality and cyanobacterial harmful algal bloom (CHABs) from remotely sensed imagery


ABIDES: Agent-Based Interactive Discrete Event Simulation

Differentially Private Secure Multi-Party Computation for Federated Learning in Financial Applications

ABIDES: Towards High-Fidelity Market Simulation for AI Research

Get Real: Realism Metrics for Robust Limit Order Book Market Simulations

Flamingo: Multi-Round Single-Server Secure Aggregation with Applications to Private Federated Learning

Explaining Agent-Based Financial Market Simulation

Robust Risk-Sensitive Reinforcement Learning Agents for Trading Markets

Fluent: Round-efficient Secure Aggregation for Private Federated
  Learning


A fresh approach to deep learning written in MATLAB

Stable Architectures for Deep Neural Networks

Reversible Architectures for Arbitrarily Deep Residual Neural Networks

Learning across scales - A multiscale method for Convolution Neural Networks

slimTrain -- A Stochastic Approximation Method for Training Separable Deep Neural Networks


Similarity or Distance Metrics, e.g. Levenshtein, for Java

Distributed representations of tuples for entity resolution

BIOSSES: a semantic sentence similarity estimation system for the biomedical domain

Introducing CitedReferencesExplorer (CRExplorer): A program for Reference Publication Year Spectroscopy with Cited References Standardization

Generating Concise Entity Matching Rules

SIGMOD'17: PROCEEDINGS OF THE 2017 ACM INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Automatic Ontology Construction Using Text Corpora and Ontology Design Patterns (ODPs) in Alzheimer’s Disease

Conversational ontology operator: patient-centric vaccine dialogue management engine for spoken conversational agents

BMC medical informatics and decision making

Static Analysis for Improved Modularity of Procedural Web Application Programming Interfaces

UoW: Multi-task Learning Gaussian Process for Semantic Textual Similarity

International Workshop on Semantic Evaluation

An analysis of one-to-one matching algorithms for entity resolution

Private Exploration Primitives for Data Cleaning.


Nonlinear perturbation theory extension of the Boltzmann code CLASS

Updated constraints from the effective field theory analysis of the BOSS power spectrum on early dark energy

Precision analysis of the redshift-space galaxy bispectrum

Constraining decaying dark matter with BOSS data and the effective field theory of large-scale structures

ShapeFit: extracting the power spectrum shape information in galaxy surveys beyond BAO and RSD

Cosmology with the redshift-space galaxy bispectrum monopole at one-loop order

Cosmological constraints from the power spectrum of eBOSS emission line galaxies

Consistency of effective field theory analyses of the BOSS power spectrum

Ultra-light axions and the S_8 tension: joint constraints from the cosmic microwave background and galaxy clustering

Determining the Hubble constant without the sound horizon: Perspectives with future galaxy surveys


A BERT-like deep language model for protein sequences.

ProteinBERT: A universal deep-learning model of protein sequence and function

Foundation Models for Natural Language Processing -- Pre-trained Language Models Integrating Media

A Multimodal Protein Representation Framework for Quantifying Transferability Across Biochemical Downstream Tasks

PortPred: exploiting deep learning embeddings of amino acid sequences for the identification of transporter proteins and their substrates


Simple oligo analysis and primer design

Characterizing mobile element insertions in 5675 genomes

ThermoAlign: a genome-aware primer design tool for tiled amplicon resequencing

The web-based multiplex PCR primer design software Ultiplex and the associated experimental workflow: up to 100- plex multiplicity


Approximate Model Counter

Belief Propagation Neural Networks

Sparse Hashing for Scalable Approximate Model Counting: Theory and Practice

Rounding Meets Approximate Model Counting

Locally-Minimal Probabilistic Explanations

Model Counting and Uniform Sampling Instances

Zenodo (CERN European Organization for Nuclear Research)


Yet Another Fog Simulator (YAFS)

YAFS: A simulator for IoT scenarios in fog computing

Availability-Aware Service Placement Policy in Fog Computing Based on Graph Partitions

Optimization policy for file replica placement in fog domains

Concurrency and Computation: Practice and Experience

Simulation Tools for Fog Computing: A Comparative Analysis


Simulation for survey (cadence, strategy) based on Python

Kilonova Luminosity Function Constraints Based on Zwicky Transient Facility Searches for 13 Neutron Star Merger Triggers during O3

Detectability of kilonovae in optical surveys: post-mortem examination of the LVC O3 run follow-up

A Data Science Platform to Enable Time-domain Astronomy

Lensed type Ia supernovae in light of SN Zwicky and iPTF16geu

Inferring Kilonova Population Properties with a Hierarchical Bayesian Framework. I. Nondetection Methodology and Single-event Analyses

Kilonova-Targeting Lightcurve Classification for Wide Field Survey Telescope

Constraints Based on Non-detection of Kilonova Optical Searching


The official repo of Aquila2 series proposed by BAAI, including pretrained & chat large language models.

LoRA: Low-Rank Adaptation of Large Language Models

QLoRA: Efficient Finetuning of Quantized LLMs

ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?

Benchmarking Benchmark Leakage in Large Language Models

Fine-tuning Large Language Models for Domain-specific Machine
  Translation

YAYI 2: Multilingual Open-Source Large Language Models

A Survey on Large Language Models from General Purpose to Medical Applications: Datasets, Methodologies, and Evaluations

Aqulia-Med LLM: Pioneering Full-Process Open-Source Medical Language Models

Aquila2 Technical Report


A neuroscience library for Python, intended to complement the existing nibabel library.

Bayesian analysis of retinotopic maps

Linking individual differences in human primary visual cortex to contrast sensitivity around the visual field

Cross-dataset reproducibility of human retinotopic maps

Variability of the Surface Area of the V1, V2, and V3 Maps in a Large Sample of Human Observers

Sub-millimetre resolution laminar fMRI using Arterial Spin Labelling in humans at 7 T

White matter alterations in glaucoma and monocular blindness differ outside the visual system

Structural changes to primary visual cortex in the congenital absence of cone input in achromatopsia

Reproducible protocol to obtain and measure first-order relay human thalamic white-matter tracts

The many layers of BOLD. The effect of hypercapnic and hyperoxic stimuli on macro- and micro-vascular compartments quantified by CVR, M, and CBV across cortical depth

Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism

A population receptive field model of the magnetoencephalography response


R client for the National Phenology Network database API


An Automata Learning Library Written in Python

AALpy: an active automata learning library

Active vs. Passive: A Comparison of Automata Learning Paradigms for Network Protocols

FlexFringe: Modeling Software Behavior by Learning Probabilistic Automata

Learning Task Automata for Reinforcement Learning using Hidden Markov Models


A simulator of malaria epidemiology and control

Public health impact and cost-effectiveness of the RTS,S/AS01 malaria vaccine: a systematic comparison of predictions from four mathematical models

Malaria intervention scale-up in Africa: effectiveness predictions for health programme planning tools, based on dynamic transmission modelling

The influence of biological, epidemiological, and treatment factors on the establishment and spread of drug-resistant Plasmodium falciparum

Spectrum-Malaria: a user-friendly projection tool for health impact assessment and strategic planning by malaria control programmes in sub-Saharan Africa

Leveraging mathematical models of disease dynamics and machine learning to improve development of novel malaria interventions

Model-informed target product profiles of long acting-injectables for use as seasonal malaria prevention

Cost-Effectiveness of PBO versus Conventional Long-Lasting Insecticidal Bed Nets in Preventing Symptomatic Malaria in Nigeria: Results of a Pragmatic Randomized Trial

The American journal of tropical medicine and hygiene

Modelling the implications of stopping vector control for malaria control and elimination

An online analytical processing multi-dimensional data warehouse for malaria data

Database : the journal of biological databases and curation

Dynamical intervention planning against COVID-19-like epidemics


Time series aggregation module (tsam). Determines typical operation periods or dereases the temporal resolution.  Accelerates model or experiment runs.

Time series aggregation for energy system design: Modeling seasonal storage

Typical periods or typical time steps? A multi-model analysis to determine the optimal temporal aggregation for energy system models

The Pareto-Optimal Temporal Aggregation of Energy System Models

Reducing Computational Load for Mixed Integer Linear Programming: An Example for a District and an Island Energy System

Evaluation of Temporal Complexity Reduction Techniques Applied to Storage Expansion Planning in Power System Models

ETHOS.FINE: A Framework for Integrated Energy System Assessment


A family of header-only, very fast and memory-friendly hashmap and btree containers.

CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Farview: Disaggregated Memory with Operator Off-loading for Database Engines

Functional Collection Programming with Semi-Ring Dictionaries

Computing water flow through complex landscapes, Part 2: Finding hierarchies in depressions and morphological segmentations

Scan Matching-Based Particle Filter for LIDAR-Only Localization

Scan-Matching based Particle Filtering approach for LIDAR-only Localization


Face recognition with deep neural networks.

OpenFace: A general-purpose face recognition library with mobile applications

Deep Identity-aware Transfer of Facial Attributes

MERBench: A Unified Evaluation Benchmark for Multimodal Emotion Recognition


Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.

Model-based Asynchronous Hyperparameter and Neural Architecture Search

PASHA: Efficient HPO and NAS with Progressive Resource Allocation

Optimizing Hyperparameters with Conformal Quantile Regression

Pseudo-Bayesian Optimization

MALIBO: Meta-learning for Likelihood-free Bayesian Optimization

Multi-objective Differentiable Neural Architecture Search


Earth observation processing framework for machine learning in Python

Tree Species Mapping on Sentinel-2 Satellite Imagery with Weakly Supervised Classification and Object-Wise Sampling

APPLICATION OF TEMPORAL CONVOLUTIONAL NEURAL NETWORK FOR THE CLASSIFICATION OF CROPS ON SENTINEL-2 TIME SERIES

The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

FASTENER Feature Selection for Inference from Earth Observation Data

A DEEP LEARNING APPROACH FOR CROP TYPE MAPPING BASED ON COMBINED TIME SERIES OF SATELLITE AND WEATHER DATA


Python bindings to BLS

The occurrence of planets and other substellar bodies around white dwarfs using K2

Exoplanet characterisation in the longest known resonant chain: the K2-138 system seen by HARPS

Diffuser-assisted Photometric Follow-up Observations of the Neptune-sized Planets K2-28b and K2-100b

K2-140b - An eccentric 6.57 d transiting hot Jupiter in Virgo

THE K2-ESPRINT PROJECT. II. SPECTROSCOPIC FOLLOW-UP OF THREE EXOPLANET SYSTEMS FROM CAMPAIGN 1 OF K2

Upper Limits on Planet Occurrence around Ultracool Dwarfs with K2

A search for transiting planets in the β Pictoris system

A simple model to describe intrinsic stellar noise for exoplanet detection around red giants

Synergy between asteroseismology and exoplanet science: an outlook

Search for exoplanetary transits in the Galactic bulge


PyTorch Implementation of TranSpeech (ICLR'23): Textless NAR Speech-to-Speech Translation with Bilateral Perturbation

Direct speech-to-speech translation with discrete units

GenerSpeech: Towards Style Transfer for Generalizable Out-Of-Domain Text-to-Speech

TranSpeech: Speech-to-Speech Translation With Bilateral Perturbation

MixSpeech: Cross-Modality Self-Learning with Audio-Visual Stream Mixup for Visual Speech Translation and Recognition

DASpeech: Directed Acyclic Transformer for Fast and High-quality Speech-to-Speech Translation


Efficient Online Reinforcement Learning with Offline Data

Challenges and Opportunities in Offline Reinforcement Learning from Visual Observations

Accelerating Exploration with Unlabeled Prior Data

Unsupervised Behavior Extraction via Random Intent Priors

Ensemble successor representations for task generalization in offline-to-online reinforcement learning


Capabilities of GPT-4 on Medical Challenge Problems

Towards Expert-Level Medical Question Answering with Large Language Models

Clinical Camel: An Open Expert-Level Medical Language Model with Dialogue-Based Knowledge Encoding


An adaptation of Fairseq to (End-to-end) speech translation.

ESPnet-ST: All-in-One Speech Translation Toolkit

Data Augmentation for End-to-End Speech Translation: FBK@IWSLT '19

International Workshop on Spoken Language Translation

On Target Segmentation for Direct Speech Translation


Combined roles for breeding synchrony, habitat and scale as predictors of extrapair paternity

Few-Shot Learning Enables Population-Scale Analysis of Leaf Traits in Populus trichocarpa

Unraveling Amazon tree community assembly using Maximum Information Entropy: a quantitative analysis of tropical forest ecology

A spatial approach to jointly estimate Wright’s neighborhood size and long-term effective population size

bioRxiv : the preprint server for biology

Vecchia Approximations and Optimization for Multivariate Matérn Models


PyTorch implementations of neural networks for timeseries classification

Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline

InceptionTime: Finding AlexNet for time series classification

Efficient Architecture Search for Diverse Tasks

Vector Quantized Time Series Generation with a Bidirectional Prior Model


PyTorch implementation of VQ-VAE + WaveNet by [Chorowski et al., 2019] and VQ-VAE on speech signals by [van den Oord et al., 2017]

WaveNet: A Generative Model for Raw Audio

Neural Discrete Representation Learning

Unsupervised speech representation learning using WaveNet autoencoders

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


DL+DiReCT - Direct Cortical Thickness Estimation using Deep Learning-based Anatomy Segmentation and Cortex Parcellation

Direct cortical thickness estimation using deep learning‐based anatomy segmentation and cortex parcellation

Reliable brain morphometry from contrast‐enhanced T1w‐MRI in patients with multiple sclerosis

Clinical Evaluation of a Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis


Exploring the "dusk matter" of the RNA virosphere

RdRp-scan: A bioinformatic resource to identify and annotate divergent RNA viruses in metagenomic sequence data

Current trends in RNA virus detection through metatranscriptome sequencing data

NeoRdRp2 with improved seed data, annotations, and scoring


Various scripts and recipes for working with nanopore data

Real-time, portable genome sequencing for Ebola surveillance

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

Extensive sequencing of seven human genomes to characterize benchmark reference materials

A reference bacterial genome dataset generated on the MinION™ portable single-molecule nanopore sequencer

A single chromosome assembly of Bacteroides fragilis strain BE1 from Illumina and MinION nanopore sequencing data

Robust long-read native DNA sequencing using the ONT CsgG Nanopore system

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

De Novo Assembly of Human Herpes Virus Type 1 (HHV-1) Genome, Mining of Non-Canonical Structures and Detection of Novel Drug-Resistance Mutations Using Short- and Long-Read Next Generation Sequencing Technologies


Bullseye analysis pipeline for DART-seq analysis

TRIBE: Hijacking an RNA-Editing Enzyme to Identify Cell-Specific Targets of RNA-Binding Proteins

scDART-seq reveals distinct m6A signatures and mRNA methylation heterogeneity in single cells.

Mechanistic implications of enhanced editing by a HyperTRIBE RNA-binding protein

m6A and YTHDF proteins contribute to the localization of select neuronal mRNAs

Single-molecule identification of the target RNAs of different RNA binding proteins simultaneously in cells

Improved Methods for Deamination-Based m6A Detection

Frontiers in cell and developmental biology

Detection of m6A in single cultured cells using scDART-seq

Abstract 1620: Cellular RNA interacts with MAVS to promote antiviral signaling


Generative adversarial networks for single-cell RNA-seq imputation

scIGANs: single-cell RNA-seq imputation using generative adversarial networks

scRNA‐seq data analysis method to improve analysis performance

Imputation Methods for scRNA Sequencing Data


Unsupervised Spatially Embedded Deep Representation of Spatial Transcriptomics

Deep Learning in Single-Cell Analysis

GNTD: reconstructing spatial transcriptomes with graph-guided neural tensor decomposition informed by spatial and functional relations


[ICML 2021] Learning Task Informed Abstractions -- a representation learning approach for model-based RL in complex visual domains

Learning Task Informed Abstractions

Learning Representations for Pixel-based Control: What Matters and Why?

Joint Representations for Reinforcement Learning with Multiple Sensors


This is a Large-Scale SAR Ship Detection Dataset-v1.0 (LS-SSDD-v1.0) from Sentinel-1, for small ship detec-tion under large-scale backgrounds. LS-SSDD-v1.0 contains 15 large-scale SAR images whose ground truths are correctly labeled by SAR experts by drawing support from Automatic Identifica-tion System (AIS) and Google Earth. To facilitate network training, the large-scale images are directly cut into 9,000 sub-images without bells and whistles, providing convenience for subsequent detec-tion result presentation in large-scale SAR images.

SAR Ship Detection Dataset (SSDD): Official Release and Comprehensive Data Analysis

LS-SSDD-v1.0: A Deep Learning Dataset Dedicated to Small Ship Detection from Large-Scale Sentinel-1 SAR Images

HOG-ShipCLSNet: A Novel Deep Learning Network With HOG Feature Fusion for SAR Ship Classification

IEEE Transactions on Geoscience and Remote Sensing

A polarization fusion network with geometric feature embedding for SAR ship classification

Squeeze-and-Excitation Laplacian Pyramid Network With Dual-Polarization Feature Fusion for Ship Classification in SAR Images

IEEE Geoscience and Remote Sensing Letters

High-speed and High-accurate SAR Ship Detection Based on a Depthwise Separable Convolution Neural Network


Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

SqueezeNet: AlexNet-level accuracy with 50x fewer parameters and <0.5MB model size

Learning both Weights and Connections for Efficient Neural Networks

EIE: Efficient Inference Engine on Compressed Deep Neural Network


TIP2019-GazeGAN Saliency Model

How is Gaze Influenced by Image Transformations? Dataset and Model

When I Look into Your Eyes: A Survey on Computer Vision Contributions for Human Gaze Estimation and Tracking

Adversarial Attacks against Deep Saliency Models

Invariance Analysis of Saliency Models versus Human Gaze During Scene Free Viewing


Official Implementation of ICML 2019 Paper. MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing; and UAI 2019 Paper: N-GCN: Multi-scale Graph Convolution for Semi-supervised Node Classification

Beyond Homophily in Graph Neural Networks: Current Limitations and Effective Designs

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

How to Find Your Friendly Neighborhood: Graph Attention Design with Self-Supervision

Graph-based Semi-supervised Learning: A Comprehensive Review

Generalizing Graph Neural Networks Beyond Homophily.

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

Label-Wise Graph Convolutional Network for Heterophilic Graphs

Dimensional Reweighting Graph Convolutional Networks


Calculate the Differential Emission Measure (DEM) from solar data using regularised inversion.

Microflare Heating of a Solar Active Region Observed with NuSTAR, Hinode/XRT, and SDO/AIA

A Search for the Counterparts of Quiet-Sun Radio Transients in Extreme Ultraviolet Data

Temporal evolution of oscillating coronal loops

Role of Small-scale Impulsive Events in Heating the X-Ray Bright Points of the Quiet Sun

Detection of long-lasting aurora-like radio emission above a sunspot

Multifrequency Microwave Imaging of Weak Transients from the Quiet Solar Corona

Spectroscopic Imaging of the Sun with MeerKAT: Opening a New Frontier in Solar Physics


An equivalent circuit model (ECM) for a battery cell, module, and pack


Light-weighted neural network inference for object detection on small-scale FPGA board

SkyNet: a Hardware-Efficient Method for Object Detection and Tracking on Embedded Systems

Enabling Design Methodologies and Future Trends for Edge AI: Specialization and Codesign

SkyNet: A Champion Model for DAC-SDC on Low Power Object Detection

Effective Algorithm-Accelerator Co-design for AI Solutions on Edge Devices


ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural
  Networks without Training Substitute Models

Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security

AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks

GenAttack: Practical Black-box Attacks with Gradient-Free Optimization

Impact of Low-bitwidth Quantization on the Adversarial Robustness for Embedded Neural Networks

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

Exact and Consistent Interpretation of Piecewise Linear Models Hidden behind APIs: A Closed Form Solution


Baseline method for sound event localization task of DCASE 2023 challenge

Overview and Evaluation of Sound Event Localization and Detection in DCASE 2019

Multi-ACCDOA: Localizing and Detecting Overlapping Sounds from the Same Class with Auxiliary Duplicating Permutation Invariant Training

SALSA-Lite: A Fast and Effective Feature for Polyphonic Sound Event Localization and Detection with Microphone Arrays

Divided spectro-temporal attention for sound event localization and detection in real scenes for DCASE2023 challenge

CST-Former: Transformer with Channel-Spectro-Temporal Attention for Sound Event Localization and Detection


PyTorch implementation of CIDER (How to exploit hyperspherical embeddings for out-of-distribution detection), ICLR 2023

Describing Textures in the Wild

The iNaturalist Species Classification and Detection Dataset

How to Exploit Hyperspherical Embeddings for Out-of-Distribution Detection?

Nearest Neighbor Guidance for Out-of-Distribution Detection


SemEval 2017 Task 10: ScienceIE - Extracting Keyphrases and Relations from Scientific Publications

Supervised Topical Key Phrase Extraction of News Stories using Crowdsourcing, Light Filtering and Co-reference Normalization

Keyphrase Cloud Generation of Broadcast News

RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregation

Statistical Language and Speech Processing

Phraseformer: Multimodal Key-phrase Extraction using Transformer and Graph Embedding

Keyphrases Concentrated Area Identification from Academic Articles as Feature of Keyphrase Extraction: A New Unsupervised Approach

International Journal of Advanced Computer Science and Applications

Compositional Generalization for Natural Language Interfaces to Web APIs

Improving Performance of Automatic Keyword Extraction (AKE) Methods Using PoS-Tagging and Enhanced Semantic-Awareness

A New Unsupervised Technique to Analyze the Centroid and Frequency of Keyphrases from Academic Articles


Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Playing Atari with Deep Reinforcement Learning

Asynchronous Methods for Deep Reinforcement Learning

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

Trust Region Policy Optimization

Addressing Function Approximation Error in Actor-Critic Methods

Dueling Network Architectures for Deep Reinforcement Learning

Deep Recurrent Q-Learning for Partially Observable MDPs


A data set regarding news veracity on social media. Published at ICWSM-18.

FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media

Sentiment Analysis for Fake News Detection

FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Media

News recommender system: a review of recent progress, challenges, and opportunities


[ICCV 2023] The official PyTorch code for Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation

Explicit Box Detection Unifies End-to-End Multi-Person Pose Estimation

QueryPose: Sparse Multi-Person Pose Regression via Spatial-Aware Part-Level Query