eXtended Keccak Code Package

NTT Multiplication for NTT-unfriendly Rings

IACR Transactions on Cryptographic Hardware and Embedded Systems

Compact Dilithium Implementations on Cortex-M3 and Cortex-M4

Lightweight AEAD and Hashing using the Sparkle Permutation Family

IACR Transactions on Symmetric Cryptology

Standard Lattice-Based Key Encapsulation on Embedded Devices

Rosita: Towards Automatic Elimination of Power-Analysis Leakage in Ciphers

Proceedings 2021 Network and Distributed System Security Symposium

Single-Trace Attacks on Keccak

Masta: An HE-Friendly Cipher Using Modular Arithmetic

Multi-moduli NTTs for Saber on Cortex-M3 and Cortex-M4

Rosita++: Automatic Higher-Order Leakage Elimination from Cryptographic Code

Yet another Improvement of Plantard Arithmetic for Faster Kyber on Low-end 32-bit IoT Devices


[DEPRECATED] Core Java Library + PDF/A, xtra and XML Worker. Only security fixes will be added — please use iText 7

Open-source smartphone app and tools for measuring, quantifying, and visualizing technology use

Active Learning of Discriminative Subgraph Patterns for API Misuse Detection

IEEE Transactions on Software Engineering


an open directory of mobility feeds and operators — powers both Transitland v1 and v2


Unsupervised Representation Learning by Predicting Image Rotations

What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels

Unsupervised Representation Learning by Predicting Random Distances

Revisiting Image Aesthetic Assessment via Self-Supervised Feature Learning

Few-Shot Scene Classification of Optical Remote Sensing Images Leveraging Calibrated Pretext Tasks

IEEE Transactions on Geoscience and Remote Sensing

A Survey on Self-Supervised Representation Learning


Attentive Generative Adversarial Network for Raindrop Removal from A Single Image (CVPR 2018)

Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration

UG^2+ Track 2: A Collective Benchmark Effort for Evaluating and Advancing Image Understanding in Poor Visibility Environments

A Review of Detection and Removal of Raindrops in Automotive Vision Systems

Towards Unified Deep Image Deraining: A Survey and A New Benchmark

Restoring Raindrops Using Attentive Generative Adversarial Networks


Spatial-Temporal Graph ODE Neural Network

Spatial-Temporal Graph ODE Networks for Traffic Flow Forecasting

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

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

Graph Neural Rough Differential Equations for Traffic Forecasting


MMGCN: Multi-modal Graph Convolution Network forPersonalized Recommendation of Micro-video

Inductive Representation Learning on Large Graphs

Neural Graph Collaborative Filtering

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

VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback

MMGCN: Multi-modal Graph Convolution Network for Personalized Recommendation of Micro-video

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

Large Multi-modal Encoders for Recommendation


This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

Last Layer Re-Training is Sufficient for Robustness to Spurious Correlations

Instance-Conditioned GAN

Masked Autoencoders are Robust Data Augmentors

Background Splitting: Finding Rare Classes in a Sea of Background


Multiple implementations for abstractive text summurization , using google colab

Neural Machine Translation by Jointly Learning to Align and Translate

Get To The Point: Summarization with Pointer-Generator Networks

Abstractive Text Summarization Using Sequence-to-Sequence RNNs and Beyond

Scheduled Sampling for Sequence Prediction with Recurrent Neural Networks

A Deep Reinforced Model for Abstractive Summarization

Deep Reinforcement Learning For Sequence to Sequence Models

Deep Architectures for Abstractive Text Summarization in Multiple Languages

International Conference on Computer Engineering and Systems

Amharic Abstractive Text Summarization


Tensorflow implementation of Learning-based Video Motion Magnification

Unsupervised Behaviour Analysis and Magnification (uBAM) using Deep Learning

uBAM: Unsupervised Behavior Analysis and Magnification using Deep Learning.


NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment

NISQA: A Deep CNN-Self-Attention Model for Multidimensional Speech Quality Prediction with Crowdsourced Datasets

SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing

Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec Language Modeling

VioLA: Unified Codec Language Models for Speech Recognition, Synthesis, and Translation

Deep Learning Based Assessment of Synthetic Speech Naturalness

DNN No-Reference PSTN Speech Quality Prediction

PolyVoice: Language Models for Speech to Speech Translation

Full-Reference Speech Quality Estimation with Attentional Siamese Neural Networks

International Conference on Acoustics, Speech, and Signal Processing

Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement

Boosting Large Language Model for Speech Synthesis: An Empirical Study


Harmonization of multi-site imaging data with ComBat (Python)

Relevance of Dynamic 18F-DOPA PET Radiomics for Differentiation of High-Grade Glioma Progression from Treatment-Related Changes

Radiomic Phenotypes for Improving Early Prediction of Survival in Stage III Non-Small Cell Lung Cancer Adenocarcinoma after Chemoradiation

Better Together

Basal-Forebrain Cholinergic Nuclei Alterations are Associated With Medication and Cognitive Deficits Across the Schizophrenia Spectrum

Fed-ComBat: A Generalized Federated Framework for Batch Effect Harmonization in Collaborative Studies

Sex Differences in the Brain’s White Matter Microstructure during Development assessed using Advanced Diffusion MRI Models

bioRxiv : the preprint server for biology

Empirical assessment of the assumptions of ComBat with diffusion tensor imaging

Journal of medical imaging (Bellingham, Wash.)


Official pytorch repository for "Diffusion Posterior Sampling for General Noisy Inverse Problems"

Solving Linear Inverse Problems Provably via Posterior Sampling with Latent Diffusion Models

Beyond First-Order Tweedie: Solving Inverse Problems using Latent Diffusion

Provably Robust Score-Based Diffusion Posterior Sampling for
  Plug-and-Play Image Reconstruction

DMPlug: A Plug-in Method for Solving Inverse Problems with Diffusion Models

Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models

CoSIGN: Few-Step Guidance of ConSIstency Model to Solve General INverse Problems


[NeurIPS-2020] Self-paced Contrastive Learning with Hybrid Memory for Domain Adaptive Object Re-ID.

Performance Measures and a Data Set for Multi-Target, Multi-Camera Tracking

Person Transfer GAN to Bridge Domain Gap for Person Re-Identification

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

A formal approach to good practices in Pseudo-Labeling for Unsupervised Domain Adaptive Re-Identification

Improving Unsupervised Domain Adaptive Re-Identification Via Source-Guided Selection of Pseudo-Labeling Hyperparameters

Unsupervised Long-Term Person Re-Identification with Clothes Change


NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables

Towards Cross-Table Masked Pretraining for Web Data Mining

UniTabE: Pretraining a Unified Tabular Encoder for Heterogeneous Tabular Data


Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervised, weakly supervised and unsupervised methods ▸ Easily configured and run with Hydra config ▸ Inspired by disentanglement_lib

beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework

International Conference on Learning Representations

Deep Feature Consistent Variational Autoencoder

Weakly-Supervised Disentanglement Without Compromises

Disentanglement of Correlated Factors via Hausdorff Factorized Support

TVAE: Triplet-Based Variational Autoencoder using Metric Learning

Overlooked Implications of the Reconstruction Loss for VAE Disentanglement


Sonification Tools and Resources for Analysis Using Sound Synthesis

Evaluating the efficacy of sonification for signal detection in univariate, evenly sampled light curves using astronify

Introducing STRAUSS: A flexible sonification Python package

Erie: A Declarative Grammar for Data Sonification

Proceedings of the CHI Conference on Human Factors in Computing Systems

SonoUno development: a User-Centered Sonification software for data analysis


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

Benchmarking Feature-Based Algorithm Selection Systems for Black-Box Numerical Optimization

HPO X ELA: Investigating Hyperparameter Optimization Landscapes by Means of Exploratory Landscape Analysis

Challenges of ELA-guided Function Evolution using Genetic Programming

Towards Exploratory Landscape Analysis for Large-scale Optimization: A Dimensionality Reduction Framework


Official implementation of VQMIVC: One-shot (any-to-any) Voice Conversion @ Interspeech 2021 + Online playing demo!

VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion

Voice Conversion With Just Nearest Neighbors

StyleTTS-VC: One-Shot Voice Conversion by Knowledge Transfer from Style-Based TTS Models

StreamVC: Real-Time Low-Latency Voice Conversion

Phoneme Hallucinator: One-shot Voice Conversion via Set Expansion

Parrot-Trained Adversarial Examples: Pushing the Practicality of Black-Box Audio Attacks against Speaker Recognition Models

DualVC 3: Leveraging Language Model Generated Pseudo Context for End-to-end Low Latency Streaming Voice Conversion


Source code for EPA’s annual air trends report on air quality, emissions and visibility trends.


[CVPR'24 Highlight] GPT4Point: A Unified Framework for Point-Language Understanding and Generation.

3D-LLM: Injecting the 3D World into Large Language Models

PointLLM: Empowering Large Language Models to Understand Point Clouds

Point-Bind & Point-LLM: Aligning Point Cloud with Multi-modality for 3D Understanding, Generation, and Instruction Following

LLaNA: Large Language and NeRF Assistant


text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。

PAWS-X: A Cross-lingual Adversarial Dataset for Paraphrase Identification

One Embedder, Any Task: Instruction-Finetuned Text Embeddings

SongComposer: A Large Language Model for Lyric and Melody Composition in
  Song Generation

Evaluating the Generation Capabilities of Large Chinese Language Models

Compress to Impress: Unleashing the Potential of Compressive Memory in
  Real-World Long-Term Conversations

Efficient Knowledge Infusion via KG-LLM Alignment

Towards Automated Data Sciences with Natural Language and SageCopilot:
  Practices and Lessons Learned

Exploiting Duality in Open Information Extraction with Predicate Prompt

Geo-Encoder: A Chunk-Argument Bi-Encoder Framework for Chinese Geographic Re-Ranking

Sentiment analysis and prediction model based on Chinese government affairs microblogs


Python library for computing Finite-Amplitude Local Wave Activity Diagnostics from climate data.

Atmospheric blocking as a traffic jam in the jet stream

Local Finite-Amplitude Wave Activity as a Diagnostic of Anomalous Weather Events


Generic framework for historical document processing

dhSegment: A generic deep-learning approach for document segmentation

PROCEEDINGS 2018 16TH INTERNATIONAL CONFERENCE ON FRONTIERS IN HANDWRITING RECOGNITION (ICFHR)

READ-BAD: A New Dataset and Evaluation Scheme for Baseline Detection in Archival Documents

Combining Visual and Textual Features for Semantic Segmentation of Historical Newspapers

Zenodo (CERN European Organization for Nuclear Research)

Multiple Document Datasets Pre-training Improves Text Line Detection With Deep Neural Networks


Probabilistic Torch is library for deep generative models that extends PyTorch

Semi-Supervised Learning with Deep Generative Models

Learning Disentangled Representations with Semi-Supervised Deep Generative Models

Structured Disentangled Representations

Bayesian Layers: A Module for Neural Network Uncertainty

Simple, Distributed, and Accelerated Probabilistic Programming


Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge

Discovering Structure in High-Dimensional Data Through Correlation Explanation

Maximally Informative Hierarchical Representations of High-Dimensional Data

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

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

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

Unsupervised Keyphrase Extraction via Interpretable Neural Networks

Assessing the Alignment between the Information Needs of Developers and the Documentation of Programming Languages: A Case Study on Rust


Summarize Massive Datasets using Submodular Optimization

PRISM: A Rich Class of Parameterized Submodular Information Measures for Guided Data Subset Selection

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

Submodlib: A Submodular Optimization Library

SPEAR : Semi-supervised Data Programming in Python

Neural Estimation of Submodular Functions with Applications to Differentiable Subset Selection

SMART: Submodular Data Mixture Strategy for Instruction Tuning


RH 1.5D

On the generation of solar spicules and Alfvénic waves

Characterization and formation of on-disk spicules in the Ca II K and Mg II k spectral lines

Semi-empirical model atmospheres for the chromosphere of the sunspot penumbra and umbral flashes

Statistical Study of Chromospheric Evaporation in Impulsive Phase of Solar Flares

An optically thin view of the flaring chromosphere: non-thermal widths in a chromospheric condensation during an X-class solar flare

Understanding the Duration of Solar and Stellar Flares at Various Wavelengths


Miscellaneous soil data management, summary, visualization, and conversion utilities to support soil survey.


A toolbox for integrated information theory.

Can the macro beat the micro? Integrated information across spatiotemporal scales

PyPhi: A toolbox for integrated information theory

What caused what? A quantitative account of actual causation using dynamical causal networks

Computing Integrated Information (Φ) in Discrete Dynamical Systems with Multi-Valued Elements

Emergence of Integrated Information at Macro Timescales in Real Neural Recordings

Upper bounds for integrated information


The goal of this toolbox is to provide open-source research-level and prototyping software tools for hyperpolarized MRI experiments. It is currently based on MATLAB/Octave code, and includes code for designing radiofrequency (RF) pulses, imaging gradients, data reconstruction, and data analysis. doi: 10.5281/zenodo.1198915

Hyperpolarized Metabolic MRI—Acquisition, Reconstruction, and Analysis Methods

Initial Experience on Hyperpolarized [1-13C]Pyruvate MRI Multicenter Reproducibility—Are Multicenter Trials Feasible?

Current Methods for Hyperpolarized [1-13C]pyruvate MRI Human Studies.

Measuring the Metabolic Evolution of Glioblastoma throughout Tumor Development, Regression, and Recurrence with Hyperpolarized Magnetic Resonance

Hyperpolarized [2–13C]pyruvate MR molecular imaging with whole brain coverage

Metabolite-Specific Echo Planar Imaging for Preclinical Studies with Hyperpolarized 13C-Pyruvate MRI

Monitoring response to a clinically relevant IDH inhibitor in glioma—Hyperpolarized 13C magnetic resonance spectroscopy approaches


OpenBuildingControl - Performance Evaluation, Specification, Deployment and Verification of Building Control Sequences


CERN PyHEADTAIL macro-particle code for simulating beam dynamics in particle accelerators with collective effects.

Impedance modelling and collective effects in the Future Circular e+e− Collider with 4 IPs

Interim report for the International Muon Collider Collaboration (IMCC)

Terahertz scale microbunching instability driven by high resistivity nonevaporable getter coating resistive-wall impedance


Machine Learning in R

ASlib: A Benchmark Library for Algorithm Selection

mlrMBO: A Modular Framework for Model-Based Optimization of Expensive Black-Box Functions

A meta-learning recommender system for hyperparameter tuning: Predicting when tuning improves SVM classifiers

OpenML: An R package to connect to the machine learning platform OpenML

Economics of open tibial fractures: the pivotal role of length-of-stay and infection

Multilabel Classification with R Package mlr

Better trees: an empirical study on hyperparameter tuning of classification decision tree induction algorithms

A Comprehensive and Didactic Review on Multilabel Learning Software Tools

Benchmarking time series classification -- Functional data vs machine learning approaches

High Dimensional Restrictive Federated Model Selection with multi-objective Bayesian Optimization over shifted distributions


Pytorch Implementation of Knowing When to Look: Adaptive Attention via A Visual Sentinel for Image Captioning

Incorporating Sememes into Chinese Definition Modeling

Diversity as a By-Product: Goal-oriented Language Generation Leads to Linguistic Variation

Decoupling Pragmatics: Discriminative Decoding for Referring Expression Generation


Finetuning InstructLLaMA with portuguese data

Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca

Zero-shot cross-lingual transfer in instruction tuning of large language
  model

Impact of Tokenization on LLaMa Russian Adaptation


Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Graph neural network for traffic forecasting: A survey

Discrete Graph Structure Learning for Forecasting Multiple Time Series

Multivariate Time Series Forecasting with Latent Graph Inference

Residual Correction in Real-Time Traffic Forecasting

Proceedings of the 31st ACM International Conference on Information & Knowledge Management


Deep Learning the T Cell Receptor Binding Specificity of Neoantigen

Can we predict T cell specificity with digital biology and machine learning?

epiTCR: a highly sensitive predictor for TCR–peptide binding

TCR-ESM: Employing protein language embeddings to predict TCR-peptide-MHC binding

Computational and structural biotechnology journal

Global analysis of HLA-A2 restricted MAGE-A3 tumor antigen epitopes and corresponding TCRs in non-small cell lung cancer

BATMAN: Improved T cell receptor cross-reactivity prediction benchmarked on a comprehensive mutational scan database


EMNLP 2021 - Pre-training architectures for dense retrieval

Unsupervised Corpus Aware Language Model Pre-training for Dense Passage Retrieval

Condenser: a Pre-training Architecture for Dense Retrieval

A Neural Corpus Indexer for Document Retrieval

Scaling Deep Contrastive Learning Batch Size under Memory Limited Setup

HLATR: Enhance Multi-stage Text Retrieval with Hybrid List Aware Transformer Reranking

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

DPTDR: Deep Prompt Tuning for Dense Passage Retrieval

CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval

Multi-stage Information Retrieval for Vietnamese Legal Texts


Pretraining, fine-tuning and evaluation scripts for IndicBERT-v2 and IndicXTREME

No Language Left Behind: Scaling Human-Centered Machine Translation

MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages

Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages

Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages


An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'

Keep it Simple: Image Statistics Matching for Domain Adaptation

OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation

Rotation-Invariant and Relation-Aware Cross-Domain Adaptation Object Detection Network for Optical Remote Sensing Images


BERT models for Japanese text.

BERTje: A Dutch BERT Model

How Good is Your Tokenizer? On the Monolingual Performance of Multilingual Language Models

RoBERT – A Romanian BERT Model

International Conference on Computational Linguistics

Pre-training Polish Transformer-based Language Models at Scale

A lexicon-based approach to examine depression detection in social media: the case of Twitter and university community

Humanities and Social Sciences Communications

Oversampling effect in pretraining for bidirectional encoder representations from transformers (BERT) to localize medical BERT and enhance biomedical BERT

News-based Business Sentiment and its Properties as an Economic Index

Reinforcement Learning with Imbalanced Dataset for Data-to-Text Medical Report Generation

Practical Transformer-based Multilingual Text Classification

North American Chapter of the Association for Computational Linguistics

Balancing Cost and Quality: An Exploration of Human-in-the-loop Frameworks for Automated Short Answer Scoring


A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Learning to Navigate in Cities Without a Map

TorchBeast: A PyTorch Platform for Distributed RL

Open RL Benchmark: Comprehensive Tracked Experiments for Reinforcement
  Learning


This is an implementation for the CVPR2020 paper "Learning Invariant Representation for Unsupervised Image Restoration"

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

Unsupervised Image-to-Image Translation Networks

Diverse Image-to-Image Translation via Disentangled Representations


Official implementation of compound word transformer (AAAI'21)

Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs

BERT-like Pre-training for Symbolic Piano Music Classification Tasks

Structure-Enhanced Pop Music Generation via Harmony-Aware Learning

SDMuse: Stochastic Differential Music Editing and Generation via Hybrid Representation

Fine-Grained Position Helps Memorizing More, a Novel Music Compound Transformer Model with Feature Interaction Fusion

THIRTY-SEVENTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 37 NO 4

From Words to Music: A Study of Subword Tokenization Techniques in Symbolic Music Generation

MusER: Musical Element-Based Regularization for Generating Symbolic Music with Emotion


Krylov subspace methods package for Python

Preconditioned Recycling Krylov subspace methods for self-adjoint problems

Time-dependent Dirichlet Conditions in Finite Element Discretizations

Continuous, Semi-discrete, and Fully Discretized Navier-Stokes Equations


Data for the 2014 ebola outbeak in West Africa

Modeling the Impact of Interventions on an Epidemic of Ebola in Sierra Leone and Liberia

Early Epidemic Dynamics of the West African 2014 Ebola Outbreak: Estimates Derived with a Simple Two-Parameter Model

Avoidable errors in the modelling of outbreaks of emerging pathogens, with special reference to Ebola

Mathematical modeling of the West Africa Ebola epidemic

Modeling Post-death Transmission of Ebola: Challenges for Inference and Opportunities for Control

A Modified SEIR Model for the Spread of Ebola in Western Africa and Metrics for Resource Allocation

Phylodynamic Analysis of Ebola Virus in the 2014 Sierra Leone Epidemic

Make Data Sharing Routine to Prepare for Public Health Emergencies

Technology to advance infectious disease forecasting for outbreak management

Modeling the transmission dynamics of Ebola virus disease in Liberia


Sound event localization, detection, and tracking of multiple overlapping and moving sources in 2D spherical space using convolutional recurrent neural network

Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networks

IEEE Journal on Selected Topics in Signal Processing

L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment

Localization, Detection and Tracking of Multiple Moving Sound Sources with a Convolutional Recurrent Neural Network

L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing


Code for the paper "VisualBERT: A Simple and Performant Baseline for Vision and Language"

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

What Does BERT with Vision Look At?

Meeting of the Association for Computational Linguistics

VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena

Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions

Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning

Does Vision-and-Language Pretraining Improve Lexical Grounding?

Surgical-VQLA: Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery

What Vision-Language Models `See' when they See Scenes

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions


FOCUS: Fine-mapping Of CaUsal gene Sets

Transcriptome-wide association studies: a view from Mendelian randomization

Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits

Genetic association and causal inference converge on hyperglycaemia as a modifiable factor to improve lung function

Expanding causal genes for Parkinson’s disease via multi-omics analysis

Innovative strategies for annotating the “relationSNP” between variants and molecular phenotypes

Biomarker and genomic analyses reveal molecular signatures of non-cardioembolic ischemic stroke

Transcriptome wide association studies: general framework and methods

Joint analysis of proteome, transcriptome, and multi-trait analysis to identify novel Parkinson’s disease risk genes

Genome-wide meta-analysis of pneumonia suggests a role for mucin biology and provides novel drug repurposing opportunities

A large-scale transcriptome-wide association study (TWAS) of ten blood cell phenotypes reveals complexities of TWAS fine-mapping


The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Quantifying Memorization Across Neural Language Models

Deduplicating Training Data Mitigates Privacy Risks in Language Models

Knowledge Unlearning for Mitigating Privacy Risks in Language Models

Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?

Privacy Issues in Large Language Models: A Survey

Pandora's White-Box: Increased Training Data Leakage in Open LLMs

Selective Forgetting: Advancing Machine Unlearning Techniques and
  Evaluation in Language Models

Digital Forgetting in Large Language Models: A Survey of Unlearning
  Methods

Learn while Unlearn: An Iterative Unlearning Framework for Generative Language Models


ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations

Improving Chinese Word Segmentation with Wordhood Memory Networks

ZEN 2.0: Continue Training and Adaption for N-gram Enhanced Text Encoders

Span Labeling Approach for Vietnamese and Chinese Word Segmentation


P2Rank: Protein-ligand binding site prediction tool based on machine learning. Stand-alone command line program / Java library for predicting ligand binding pockets from protein structure.

Highly accurate protein structure prediction for the human proteome

DiffDock: Diffusion Steps, Twists, and Turns for Molecular Docking

P2Rank: machine learning based tool for rapid and accurate prediction of ligand binding sites from protein structure

PrankWeb: a web server for ligand binding site prediction and visualization

Improving protein-ligand binding site prediction accuracy by classification of inner pocket points using local features

PrankWeb: web server for ligand binding-site prediction and visualization

EquiPocket: an E(3)-Equivariant Geometric Graph Neural Network for Ligand Binding Site Prediction

P2RANK: Knowledge-Based Ligand Binding Site Prediction Using Aggregated Local Features

Modeling Molecular Structures with Intrinsic Diffusion Models


The MATH Dataset (NeurIPS 2021)

Measuring Mathematical Problem Solving With the MATH Dataset

Explore-Instruct: Enhancing Domain-Specific Instruction Coverage through Active Exploration

Structural information in mathematical formulas for exercise difficulty prediction: a comparison of NLP representations

Workshop on Innovative Use of NLP for Building Educational Applications

BackdoorLLM: A Comprehensive Benchmark for Backdoor Attacks on Large Language Models

Causal Prompting: Debiasing Large Language Model Prompting based on
  Front-Door Adjustment

Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large
  Language Models


This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.

Towards Multi-class Object Detection in Unconstrained Remote Sensing Imagery

SCRDet++: Detecting Small, Cluttered and Rotated Objects via Instance-Level Feature Denoising and Rotation Loss Smoothing

PolarDet: a fast, more precise detector for rotated target in aerial images

Arbitrary-oriented object detection via dense feature fusion and attention model for remote sensing super-resolution image

Towards Accurate Oriented Object Detection in Aerial Images with Adaptive Multi-level Feature Fusion

ACM Transactions on Multimedia Computing, Communications, and Applications

Multi Angle Rotation Object Detection for Remote Sensing Image Based on Modified Feature Pyramid Networks

An internal-external optimized convolutional neural network for arbitrary orientated object detection from optical remote sensing images

MEAD: a Mask-guidEd Anchor-free Detector for oriented aerial object detection

ROPDet: real-time anchor-free detector based on point set representation for rotating object

Polar Ray: A Single-stage Angle-free Detector for Oriented Object Detection in Aerial Images

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


SeqTR: A Simple yet Universal Network for Visual Grounding

VQA Therapy: Exploring Answer Differences by Visually Grounding Answers

LLMs as Bridges: Reformulating Grounded Multimodal Named Entity Recognition


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

Evolution and Global Transmission of a Multidrug-Resistant, Community-Associated Methicillin-Resistant Staphylococcus aureus Lineage from the Indian Subcontinent

Dynamics of antimicrobial resistance in intestinal Escherichia coli from children in community settings in South Asia and sub-Saharan Africa

A Population-Based Descriptive Atlas of Invasive Pneumococcal Strains Recovered Within the U.S. During 2015–2016

Global Scale Dissemination of ST93: A Divergent Staphylococcus aureus Epidemic Lineage That Has Recently Emerged From Remote Northern Australia

Molecular epidemiology in current times

Analysis of Complete Genome Sequence of Acinetobacter baumannii Strain ATCC 19606 Reveals Novel Mobile Genetic Elements and Novel Prophage

Population genomics of emerging Elizabethkingia anophelis pathogens reveals potential outbreak and rapid global dissemination

Use of genomics to design a diagnostic assay to discriminate between Streptococcus pneumoniae and Streptococcus pseudopneumoniae

Phenotypic and genotypic features of the Mycobacterium tuberculosis lineage 1 subgroup in central Vietnam


Computer vision utils for Blender (generate instance annoatation, depth and 6D pose by one line code)

Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization

iShape: A First Step Towards Irregular Shape Instance Segmentation

Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification

IEEE Workshop/Winter Conference on Applications of Computer Vision

CarPatch: A Synthetic Benchmark for Radiance Field Evaluation on Vehicle Components


LUKE -- Language Understanding with Knowledge-based Embeddings

Attention Is All You Need

LUKE: Deep Contextualized Entity Representations with Entity-aware Self-attention

Neural Entity Linking: A Survey of Models Based on Deep Learning

mLUKE: The Power of Entity Representations in Multilingual Pretrained Language Models

Global Entity Disambiguation with BERT

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

Generative Prompt Tuning for Relation Classification

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

LUKE-Graph: A Transformer-based Approach with Gated Relational Graph Attention for Cloze-style Reading Comprehension

Revisiting the Knowledge Injection Frameworks


Converts an xyz file to an RDKit mol object

GEOM: Energy-annotated molecular conformations for property prediction and molecular generation

A Generative Model for Molecular Distance Geometry

Machine learning based energy-free structure predictions of molecules, transition states, and solids

Symmetry-Aware Actor-Critic for 3D Molecular Design

Scalable Fragment-Based 3D Molecular Design with Reinforcement Learning

Navigating chemical reaction space with a steering wheel

Fast and automated identification of reactions with low barriers using meta-MD simulations

CONFPASS: fast DFT re-optimizations of structures from conformation searches

Journal of chemical information and modeling

Machine Learning for Screening Large Organic Molecules

Evolutionary Monte Carlo of QM Properties in Chemical Space: Electrolyte Design

Journal of chemical theory and computation


A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

Benchmarking Adversarial Robustness on Image Classification

A Comprehensive Study on Robustness of Image Classification Models: Benchmarking and Rethinking

Towards Defending Multiple ℓ_p-norm Bounded Adversarial Perturbations via Gated Batch Normalization

DISCO: Adversarial Defense with Local Implicit Functions

RobFR: Benchmarking Adversarial Robustness on Face Recognition

Geometrically Adaptive Dictionary Attack on Face Recognition

Adversarial Attacks on ML Defense Models Competition

Automated Decision-based Adversarial Attacks

Evaluating Adversarial Robustness on Document Image Classification


Modular Assessment of Rainfall-Runoff Models Toolbox - Matlab code for 47 conceptual hydrologic models

A Brief Analysis of Conceptual Model Structure Uncertainty Using 36 Models and 559 Catchments

Modular Assessment of Rainfall-Runoff Models Toolbox (MARRMoT) v1.2: an open-source, extendable framework providing implementations of 46 conceptual hydrologic models as continuous state-space formulations

Mimicry of a Conceptual Hydrological Model (HBV): What's in a Name?

Modular Assessment of Rainfall–Runoff Models Toolbox (MARRMoT) v2.1: an object-oriented implementation of 47 established hydrological models for improved speed and readability

Modular Assessment of Rainfall-Runoff Models Toolbox (MARRMoT) v1.0: an open- source, extendable framework providing implementations of 46 conceptual hydrologic models as continuous space-state formulations


aw_nas: A Modularized and Extensible NAS Framework

A Generic Graph-based Neural Architecture Encoding Scheme for Predictor-based NAS

Evaluating Efficient Performance Estimators of Neural Architectures

FTT-NAS: Discovering Fault-Tolerant Convolutional Neural Architecture

CLOSE: Curriculum Learning On the Sharing Extent Towards Better One-shot NAS

TA-GATES: An Encoding Scheme for Neural Network Architectures

aw_nas: A Modularized and Extensible NAS framework

Discovering Robust Convolutional Architecture at Targeted Capacity: A Multi-Shot Approach

FlowerFormer: Empowering Neural Architecture Encoding using a Flow-aware
  Graph Transformer


SIDH Library is a fast and portable software library that implements state-of-the-art supersingular isogeny cryptographic schemes. The chosen parameters aim to provide security against attackers running a large-scale quantum computer, and security against classical algorithms.

SIDH on ARM: Faster Modular Multiplications for Faster Post-Quantum Supersingular Isogeny Key Exchange

IACR Transactions on Cryptographic Hardware and Embedded Systems

Supersingular Curves You Can Trust

New Techniques for SIDH-based NIKE

Cold Boot Attacks on the Supersingular Isogeny Key Encapsulation (SIKE) Mechanism

Faulty isogenies: a new kind of leakage

An Alternative Approach for Computing Discrete Logarithms in Compressed SIDH.


A Java library for Paillier partially homomorphic encryption.

TimeCrypt: Encrypted Data Stream Processing at Scale with Cryptographic Access Control

Homomorphic-Encrypted Volume Rendering

IEEE transactions on visualization and computer graphics


RISC-V Virtual Prototype


The open source Vue.js frontend (mobile and cordova app) for the argentinian carpooling application: Carpoolear


A curated database of insecure Python packages

An Empirical Analysis of Vulnerabilities in Python Packages for Web Applications

International Workshop on Empirical Software Engineering in Practice

Analyzing the Direct and Transitive Impact of Vulnerabilities onto Different Artifact Repositories

I Know What You Imported Last Summer: A study of security threats in thePython ecosystem


Graphical Fragment Assembly (GFA) Format Specification

Gfastats: conversion, evaluation and manipulation of genome sequences using assembly graphs

ODGI: understanding pangenome graphs

A space and time-efficient index for the compacted colored de Bruijn graph

Unbiased pangenome graphs

Innovations and challenges in detecting long read overlaps: an evaluation of the state-of-the-art

Panache: a web browser-based viewer for linearized pangenomes

MinYS: mine your symbiont by targeted genome assembly in symbiotic communities

Graph-Based Approaches Significantly Improve the Recovery of Antibiotic Resistance Genes From Complex Metagenomic Datasets

Fast sequence to graph alignment using the graph wavefront algorithm

Real-time resolution of short-read assembly graph using ONT long reads


A Julia/JuMP Package for Water Distribution Network Optimization

Polyhedral Relaxations for Optimal Pump Scheduling of Potable Water Distribution Networks

Exact Mixed-integer Convex Programming Formulation for Optimal Water Network Design.


VVenC, the Fraunhofer Versatile Video Encoder

Developments in International Video Coding Standardization After AVC, With an Overview of Versatile Video Coding (VVC)

Versatile Video Coding Standard: A Review From Coding Tools to Consumers Deployment

Energy Efficient Video Decoding for VVC Using a Greedy Strategy-Based Design Space Exploration

IEEE Transactions on Circuits and Systems for Video Technology

Optimized Decoding-Energy-Aware Encoding in Practical VVC Implementations

A Complete End-To-End Open Source Toolchain for the Versatile Video Coding (VVC) Standard

Open GOP Resolution Switching in HTTP Adaptive Streaming with VVC

The Bjøntegaard Bible Why Your Way of Comparing Video Codecs May Be Wrong

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

All-Intra Rate Control Using Low Complexity Video Features for Versatile Video Coding

VVC Subpicture-Based Frame Packing for MPEG Immersive Video

Advanced Design Space Exploration for Joint Energy and Quality Optimization for VVC


EGo is an open-source SDK that enables you to develop your own confidential apps in the Go programming language.

Confidential Consortium Framework: Secure Multiparty Applications with Confidentiality, Integrity, and High Availability

MISO: Legacy-compatible Privacy-preserving Single Sign-on using Trusted Execution Environments


A benchmark library for Dynamic Algorithm Configuration.

Towards Green Automated Machine Learning: Status Quo and Future Directions

Automated Dynamic Algorithm Configuration

DACBench: A Benchmark Library for Dynamic Algorithm Configuration


Open source 5G core network based on 3GPP R15

Tutorial on communication between access networks and the 5G core

Efficient Network Slicing with SDN and Heuristic Algorithm for Low Latency Services in 5G/B5G Networks

LERMS: A Low-Latency and Reliable Downlink Packet-Level Encoding Transmission Method in Untrusted 5GA Edge Network


PyTorch Wrapper for Earth-Mover-Distance (EMD) for 3D point cloud regression

LION: Latent Point Diffusion Models for 3D Shape Generation

MPED: Quantifying Point Cloud Distortion based on Multiscale Potential Energy Discrepancy

Mosaic-SDF for 3D Generative Models


Conditional Object-Centric Learning from Video

SAVi++: Towards End-to-End Object-Centric Learning from Real-World Videos

Bridging the Gap to Real-World Object-Centric Learning

Object-Centric Learning for Real-World Videos by Predicting Temporal Feature Similarities

Unsupervised Multi-object Segmentation by Predicting Probable Motion Patterns

OCTScenes: A Versatile Real-World Dataset of Tabletop Scenes for Object-Centric Learning

Unsupervised Object-Centric Learning from Multiple Unspecified Viewpoints


Score-based diffusion models for accelerated MRI

Solving 3D Inverse Problems using Pre-trained 2D Diffusion Models

Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems

A Conditional Normalizing Flow for Accelerated Multi-Coil MR Imaging

Data and Physics driven Deep Learning Models for Fast MRI
  Reconstruction: Fundamentals and Methodologies


[ACL 2020] Tensorflow implementation for "Every Document Owns Its Structure: Inductive Text Classification via Graph Neural Networks"

A Survey on Text Classification: From Shallow to Deep Learning

Hierarchical Heterogeneous Graph Representation Learning for Short Text Classification

State of the Art and Potentialities of Graph-level Learning

ConTextING: Granting Document-Wise Contextual Embeddings to Graph Neural Networks for Inductive Text Classification

International Conference on Computational Linguistics

Seq-HyGAN: Sequence Classification via Hypergraph Attention Network

Simplified Graph Learning for Inductive Short Text Classification

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


Few-shot Natural Language Generation for Task-Oriented Dialog

Conversational question answering: a survey

Template Guided Text Generation for Task-Oriented Dialogue

AUGNLG: Few-shot Natural Language Generation using Self-trained Data Augmentation

Adaptive Natural Language Generation for Task-oriented Dialogue via Reinforcement Learning

Selective Token Generation for Few-shot Natural Language Generation


An official implementation for " UniVL: A Unified Video and Language Pre-Training Model for Multimodal Understanding and Generation"

GEM: A General Evaluation Benchmark for Multimodal Tasks

Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment

IEEE transactions on pattern analysis and machine intelligence

MELTR: Meta Loss Transformer for Learning to Fine-tune Video Foundation Models

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions

Zero-shot Video Moment Retrieval With Off-the-Shelf Models


Massively parallel phylogenetic placement of genetic sequences

EPA-ng: Massively Parallel Evolutionary Placement of Genetic Sequences

Hyperdiverse archaea near life limits at the polyextreme geothermal Dallol area

From microbial community structure to metabolic inference using paprica

Serovar-level identification of bacterial foodborne pathogens from full-length 16S rRNA gene sequencing


Official Implementations of "Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space""

How Faithful is your Synthetic Data? Sample-level Metrics for Evaluating and Auditing Generative Models

Causality for Tabular Data Synthesis: A High-Order Structure Causal
  Benchmark Framework

Diffusion Models for Tabular Data Imputation and Synthetic Data
  Generation


Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

Informative Dropout for Robust Representation Learning: A Shape-bias Perspective

Texture Mixer: A Network for Controllable Synthesis and Interpolation of Texture

A Comprehensive Study of Vision Transformers on Dense Prediction Tasks

StyleAugment: Learning Texture De-biased Representations by Style Augmentation without Pre-defined Textures

Neural Comic Style Transfer: Case Study

Two-stream FCNs to balance content and style for style transfer


Fast SHAP value computation for interpreting tree-based models

A Unified Approach to Interpreting Model Predictions

Consistent Individualized Feature Attribution for Tree Ensembles

Fast TreeSHAP: Accelerating SHAP Value Computation for Trees

Selection of powerful radio galaxies with machine learning


C++ implementation of the Brown word clustering algorithm.

Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters

North American Chapter of the Association for Computational Linguistics

CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases

Quantifying the Language of Schizophrenia in Social Media

Yara Parser: A Fast and Accurate Dependency Parser

Label Noise Reduction in Entity Typing by Heterogeneous Partial-Label Embedding

Embedding Semantic Similarity in Tree Kernels for Domain Adaptation of Relation Extraction

Named Entity Recognition with Bilingual Constraints

Robust multilingual Named Entity Recognition with shallow semi-supervised features

PROCEEDINGS OF THE TWENTY-SIXTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

If all you have is a bit of the Bible: Learning POS taggers for truly low-resource languages

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2

Conditional Random Field Autoencoders for Unsupervised Structured Prediction


TwoPhaseFlow: An OpenFOAM based framework for development of two phase flow solvers

Numerical wetting benchmarks -- advancing the plicRDF-isoAdvector unstructured Volume-of-Fluid (VOF) method

Stabilizing the unstructured Volume-of-Fluid method for capillary flows in microstructures using artificial viscosity

A benchmark for surface-tension-driven incompressible two-phase flows


API Client for CHIRPS

Retrieving and processing agro-meteorological data from API-client sources using R software


goleft is a collection of bioinformatics tools distributed under MIT license in a single static binary

STRetch: detecting and discovering pathogenic short tandem repeat expansions

Indexcov: fast coverage quality control for whole-genome sequencing

The mutational dynamics of short tandem repeats in large, multigenerational families

The Genome of the Margined White Butterfly (Pieris macdunnoughii): Sex Chromosome Insights and the Power of Polishing with PoolSeq Data

Evidence for a single, ancient origin of a genus-wide alternative life history strategy

A Stop-Gain Mutation within MLPH Is Responsible for the Lilac Dilution Observed in Jacob Sheep


[CVPR2022] DanceTrack: Multiple Object Tracking in Uniform Appearance and Diverse Motion

DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion

MOTRv2: Bootstrapping End-to-End Multi-Object Tracking by Pretrained Object Detectors

MOTRv3: Release-Fetch Supervision for End-to-End Multi-Object Tracking

UTOPIA: Unconstrained Tracking Objects without Preliminary Examination via Cross-Domain Adaptation


Squeeze-and-Excitation Networks

Squeeze-and-Excitation Networks

Graph Neural Networks for Image Understanding Based on Multiple Cues: Group Emotion Recognition and Event Recognition as Use Cases

Super Characters: A Conversion from Sentiment Classification to Image Classification

What makes a popular academic AI repository?

Zenodo (CERN European Organization for Nuclear Research)

Discriminative Residual Analysis for Image Set Classification With Posture and Age Variations

SuperChat: Dialogue Generation by Transfer Learning from Vision to Language using Two-dimensional Word Embedding and Pretrained ImageNet CNN Models

Proceedings of the 1st International Workshop on Deep Learning Practice for High-Dimensional Sparse Data

SuperCaptioning: Image Captioning Using Two-dimensional Word Embedding

A Systematic Review of Facial Expression Detection Methods


Mathematica package for algebraic calculations in elementary particle physics.

New developments in FeynCalc 9.0

FeynCalc 9.3: New features and improvements

FeynCalc goes multiloop

FeynCalc 10: Do multiloop integrals dream of computer codes?


Toolbox for circular statistics with Python

Perineuronal nets stabilize the grid cell network

A tension-adhesion feedback loop in plant epidermis

Recent advances in directional statistics

Converting an allocentric goal into an egocentric steering signal

The retrosplenial cortex combines internal and external cues to encode head velocity during navigation

Cortical activity emerges in region-specific patterns during early brain development

bioRxiv : the preprint server for biology

Cell-class-specific electric field entrainment of neural activity

Propagating spatiotemporal activity patterns across macaque motor cortex carry kinematic information

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

Hippocampal sequences span experience relative to rewards

REM Sleep Preserves Affective Response to Social Stress—Experimental Study


A Javascript/d3 embeddable plugin for interactively visualizing statistical genetic data from customizable sources.

LocusZoom.js: interactive and embeddable visualization of genetic association study results

ZEAMAP, a Comprehensive Database Adapted to the Maize Multi-Omics Era

DeepWAS: Multivariate genotype-phenotype associations by directly integrating regulatory information using deep learning

Exploring various polygenic risk scores for skin cancer in the phenomes of the Michigan genomics initiative and the UK Biobank with a visual catalog: PRSWeb


Sustainable Development Goals tracker website


A PyTorch-based library for semi-supervised learning (NeurIPS'21)

FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

SoftMatch: Addressing the Quantity-Quality Trade-off in Semi-supervised Learning

Masked Autoencoders are Robust Data Augmentors

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few Labels

The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning

Boosting Semi-Supervised Learning with Contrastive Complementary Labeling

Boosting Semi-Supervised Learning by bridging high and low-confidence predictions


[NeurIPS 2021] Multiscale Benchmarks for Multimodal Representation Learning

MultiBench: Multiscale Benchmarks for Multimodal Representation Learning

MultiZoo & MultiBench: A Standardized Toolkit for Multimodal Deep Learning

RegBN: Batch Normalization of Multimodal Data with Regularization


The FastPFOR C++ library: Fast integer compression

Decoding billions of integers per second through vectorization

A General SIMD-Based Approach to Accelerating Compression Algorithms

ACM transactions on office information systems

Revisiting Data Compression in Column-Stores

Optimizing Communication by Compression for Multi-GPU Scalable Breadth-First Searches


Neutrino oscillation software using SQuIDS.

Updated global 3+1 analysis of short-baseline neutrino oscillations

eV-Scale Sterile Neutrino Search Using Eight Years of Atmospheric Muon Neutrino Data from the IceCube Neutrino Observatory

First Constraints on the Complete Neutrino Mixing Matrix with a Sterile Neutrino.

Dark matter annihilation to neutrinos

Solar atmospheric neutrinos and the sensitivity floor for solar dark matter annihilation searches

Journal of Cosmology and Astroparticle Physics

Search for nonstandard neutrino interactions with IceCube DeepCore

Bounds on secret neutrino interactions from high-energy astrophysical neutrinos

High-energy neutrino attenuation in the Earth and its associated uncertainties

Dark matter, destroyer of worlds: neutrino, thermal, and existential signatures from black holes in the Sun and Earth

Neutrino decoherence from quantum gravitational stochastic perturbations


Repository for the development and release of ISRaD data and tools


LOFAR solutions tool

Systematic effects in LOFAR data: A unified calibration strategy

LOFAR/H-ATLAS: A deep low-frequency survey of the Herschel-ATLAS North
  Galactic Pole field

Monthly Notices of the Royal Astronomical Society

The effect of the ionosphere on ultra-low-frequency radio-interferometric observations

LOFAR VLBI Studies at 55 MHz of 4C 43.15, a z=2.4 Radio Galaxy

LOFAR detection of a low-power radio halo in the galaxy cluster Abell 990

Monthly notices of the Royal Astronomical Society

Pushing sub-arcsecond resolution imaging down to 30 MHz with the trans-European International LOFAR Telescope

Into the depths: Unveiling ELAIS-N1 with LOFAR’s deepest sub-arcsecond wide-field images


nanobind: tiny and efficient C++/Python bindings

Efficient phase-space generation for hadron collider event simulation

Motions in Microseconds via Vectorized Sampling-Based Planning

AMReX and pyAMReX: Looking Beyond ECP

GPUDrive: Data-driven, multi-agent driving simulation at 1 million FPS

CGAL Made More Accessible

hictk: blazing fast toolkit to work with .hic and .cool files


i-PI: a universal force engine

Uncertainty estimation for molecular dynamics and sampling

Realistic phase diagram of water from "first principles" data-driven quantum simulations

i-PI 3.0: A flexible and efficient framework for advanced atomistic simulations


The Docker Bench for Security is a script that checks for dozens of common best-practices around deploying Docker containers in production.

Towards a Security Stress-Test for Cloud Configurations

Empirical Study of the Docker Smells Impact on the Image Size

Parfum: Detection and Automatic Repair of Dockerfile Smells


Bayesian Change-Point Detection and Time Series Decomposition

ENSO-driven extreme oscillations in mean sea level destabilise critical shoreline mangroves—An emerging threat

Smoothing Splines for Discontinuous Signals

Detecting Change Intervals with Isolation Distributional Kernel


Simple C examples for Decawave DWM1001 hardware

Deep Learning-based Real-time Smartphone Pose Detection for
  Ultra-wideband Tagless Gate


D-NeRF: Neural Radiance Fields for Dynamic Scenes

NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction

Unbiased 4D: Monocular 4D Reconstruction with a Neural Deformation Model

Novel View Synthesis for High-fidelity Headshot Scenes


Turkish BERT/DistilBERT, ELECTRA and ConvBERT models

Pre-training Polish Transformer-based Language Models at Scale

BRUMS at SemEval-2020 Task 12 : Transformer based Multilingual Offensive Language Identification in Social Media

SU-NLP at SemEval-2020 Task 12: Offensive Language IdentifiCation in Turkish Tweets

International Workshop on Semantic Evaluation

Tweets Under the Rubble: Detection of Messages Calling for Help in Earthquake Disaster

Pre-training and Evaluating Transformer-based Language Models for Icelandic

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Quantum Transfer Learning for Acceptability Judgements

On the Role of Morphological Information for Contextual Lemmatization


Watch, Attend and Parse for Handwritten Mathematical Expression Recognition

Watch, attend and parse: An end-to-end neural network based approach to handwritten mathematical expression recognition

Multi-Scale Attention with Dense Encoder for Handwritten Mathematical Expression Recognition

Stroke Extraction for Offline Handwritten Mathematical Expression Recognition


Learning to Adapt in Dynamic, Real-World Environment through Meta-Reinforcement Learning

RL^2: Fast Reinforcement Learning via Slow Reinforcement Learning

Learning to Adapt in Dynamic, Real-World Environments Through Meta-Reinforcement Learning

Context-aware Dynamics Model for Generalization in Model-Based Reinforcement Learning

Trajectory-wise Multiple Choice Learning for Dynamics Generalization in Reinforcement Learning

Minimum-Delay Adaptation in Non-Stationary Reinforcement Learning via Online High-Confidence Change-Point Detection

Decomposed Mutual Information Optimization for Generalized Context in Meta-Reinforcement Learning


Network Reverse Engineering through AP inference of Mutual Information

Single-cell analyses reveal YAP/TAZ as regulators of stemness and cell plasticity in glioblastoma

A single-cell survey of cellular hierarchy in acute myeloid leukemia

Characterization of the Zebrafish Cell Landscape at Single-Cell Resolution

Frontiers in cell and developmental biology

Evaluating Pruning Methods in Gene Network Inference

Single-cell protein activity analysis reveals a novel subpopulation of chondrocytes and the corresponding key master regulator proteins associated with anti-senescence and OA progression

The chromatin modulating NSL complex regulates genes and pathways genetically linked to Parkinson’s disease


DroneDeploy Machine Learning Segmentation Benchmark

On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID

Aerial Imagery Pixel-level Segmentation

Data Models for Dataset Drift Controls in Machine Learning With Optical Images

Hierarchical Semantic Segmentation using Psychometric Learning

Non-Uniform Spatial Alignment Errors in sUAS Imagery From Wide-Area Disasters


HRLDAS (High Resolution Land Data Assimilation System) containing the Noah-MP Land Surface Model

Thaw processes in ice-rich permafrost landscapes represented with laterally coupled tiles in a land surface model

A framework for quantifying hydrologic effects of soil structure across scales

Modeling groundwater responses to climate change in the Prairie Pothole Region

Data for: Improvements in the Land and Crop Modeling over Flooded Rice Fields by Incorporating the Shallow Paddy Water (Submitting to the Journal of Advances in Modeling Earth Systems)


Forecasting electric power load of Delhi using ARIMA, RNN, LSTM, and GRU models


A single model that parses Universal Dependencies across 75 languages. Given a sentence, jointly predicts part-of-speech tags, morphology tags, lemmas, and dependency trees.

75 Languages, 1 Model: Parsing Universal Dependencies Universally

Cross-Lingual Lemmatization and Morphology Tagging with Two-Stage Multilingual BERT Fine-Tuning

Proceedings of the 16th Workshop on Computational Research in Phonetics, Phonology, and Morphology

Meta-Learning for Fast Cross-Lingual Adaptation in Dependency Parsing

AUTOLEX: An Automatic Framework for Linguistic Exploration


Compare GAN code.

Are GANs Created Equal? A Large-Scale Study

Differentiable Augmentation for Data-Efficient GAN Training

A Large-scale Study of Representation Learning with the Visual Task Adaptation Benchmark

Self-Supervised GANs via Auxiliary Rotation Loss

Consistency Regularization for Generative Adversarial Networks

A Large-Scale Study on Regularization and Normalization in GANs

High-Fidelity Image Generation With Fewer Labels

GS-WGAN: A Gradient-Sanitized Approach for Learning Differentially Private Generators

Regularizing Generative Adversarial Networks under Limited Data

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


Pretraining, fine-tuning and evaluation scripts for Indic-Wav2Vec2

Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages

Predicting positive transfer for improved low-resource speech
  recognition using acoustic pseudo-tokens


The DRAT-trim proof checker

Guiding High-Performance SAT Solvers with Unsat-Core Predictions

Efficient Certified RAT Verification

Efficient Verified (UN)SAT Certificate Checking

Efficient Certified Resolution Proof Checking

Tools and Algorithms for Construction and Analysis of Systems

Trimming Graphs Using Clausal Proof Optimization

Unsatisfiability Proofs for Distributed Clause-Sharing SAT Solvers

Tools and Algorithms for the Construction and Analysis of Systems

Towards the shortest DRAT proof of the Pigeonhole Principle


Pafish is a testing tool that uses different techniques to detect virtual machines and malware analysis environments in the same way that malware families do

Systematic Approach to Malware Analysis (SAMA)

Longitudinal Study of the Prevalence of Malware Evasive Techniques

Sisyfos: A Modular and Extendable Open Malware Analysis Platform

Python and Malware: Developing Stealth and Evasive Malware without Obfuscation

Avast-CTU Public CAPE Dataset

HyperDbg: Reinventing Hardware-Assisted Debugging (Extended Version)


An extension of the PyMARL codebase that includes additional algorithms and environment support

The StarCraft Multi-Agent Challenge

Benchmarking Multi-Agent Deep Reinforcement Learning Algorithms in Cooperative Tasks

An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility

Multi-agent Dynamic Algorithm Configuration

A Survey of Progress on Cooperative Multi-agent Reinforcement Learning in Open Environment

Deep Reinforcement Learning for Multi-Agent Interaction

Ensemble Value Functions for Efficient Exploration in Multi-Agent Reinforcement Learning

Pareto Actor-Critic for Equilibrium Selection in Multi-Agent Reinforcement Learning

Efficient Communication via Self-supervised Information Aggregation for Online and Offline Multi-agent Reinforcement Learning


R package for deriving social mixing matrices from survey data.

The epidemiologic impact and cost-effectiveness of new tuberculosis vaccines on multidrug-resistant tuberculosis in India and China

Germany’s fourth COVID-19 wave was mainly driven by the unvaccinated

Changing social contact patterns among US workers during the COVID-19 pandemic: April 2020 to December 2021

medRxiv : the preprint server for health sciences

Germany's current COVID-19 crisis is mainly driven by the unvaccinated

Risk of COVID-19 hospitalisation rises exponentially with age, inversely proportional to T-cell production


FedNLP: An Industry and Research Integrated Platform for Federated Learning in Natural Language Processing, Backed by FedML, Inc. The Previous Research Version is Accepted to NAACL 2022

FedNLP: Benchmarking Federated Learning Methods for Natural Language Processing Tasks

Federated Learning Meets Natural Language Processing: A Survey

Can Foundation Models Help Us Achieve Perfect Secrecy?

Federated Model Decomposition with Private Vocabulary for Text Classification

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


BNB Smart Chain

A Survey of DeFi Security: Challenges and Opportunities

Exploring Unfairness on Proof of Authority: Order Manipulation Attacks and Remedies

FlashSyn: Flash Loan Attack Synthesis via Counter Example Driven Approximation

SoK: Security of Cross-chain Bridges: Attack Surfaces, Defenses, and Open Problems

A Comprehensive System for Managing Blood Resources Leveraging Blockchain, Smart Contracts, and Non-Fungible Tokens

International Journal of Advanced Computer Science and Applications

Delivery Management System based on Blockchain, Smart Contracts and NFT: A Case Study in Vietnam

An Enhanced CoD System Leveraging Blockchain, Smart Contracts, and NFTs: A New Approach for Trustless Transactions


New generation entropy codecs : Finite State Entropy and Huff0

Asymmetric numeral systems: entropy coding combining speed of Huffman coding with compression rate of arithmetic coding

Sprintz: Time Series Compression for the Internet of Things

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

Lightweight compression with encryption based on Asymmetric Numeral
  Systems

A Review of the Asymmetric Numeral System and Its Applications to Digital Images

Encoding of probability distributions for Asymmetric Numeral Systems

Designing dedicated data compression for physics experiments within FPGA already used for data acquisition

Compressing Colour Images with Joint Inpainting and Prediction

The Efficiency of the ANS Entropy Encoding

Rice-Marlin Codes: Tiny and Efficient Variable-to-Fixed Codes

High-Throughput Variable-to-Fixed Entropy Codec Using Selective, Stochastic Code Forests


A visual exploratory tool on correlation matrix

Oral administration of Blautia wexlerae ameliorates obesity and type 2 diabetes via metabolic remodeling of the gut microbiota

Depression, anxiety, and burnout among medical students and residents of a medical school in Nepal: a cross-sectional study

Aberrant gut-microbiota-immune-brain axis development in premature neonates with brain damage

Salmon gut microbiota correlates with disease infection status: potential for monitoring health in farmed animals

Assessing the spread of COVID-19 in Brazil: Mobility, morbidity and social vulnerability

Age-severity matched cytokine profiling reveals specific signatures in Covid-19 patients

Ranking the biases: The choice of OTUs vs. ASVs in 16S rRNA amplicon data analysis has stronger effects on diversity measures than rarefaction and OTU identity threshold

Phylogenomic subsampling and the search for phylogenetically reliable loci

Self-sustaining IL-8 loops drive a prothrombotic neutrophil phenotype in severe COVID-19

A transcriptomics resource reveals a transcriptional transition during ordered sarcomere morphogenesis in flight muscle


A Graph Neural Network Library in Jax

Relational inductive biases, deep learning, and graph networks

GraphCast: Learning skillful medium-range global weather forecasting

Pre-training via Denoising for Molecular Property Prediction

TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug Discovery

Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond

FedJAX: Federated learning simulation with JAX

Graph Neural Networks for Particle Tracking and Reconstruction

Graph Neural Networks: Methods, Applications, and Opportunities

Large-scale graph representation learning with very deep GNNs and self-supervision

The Cosmic Graph: Optimal Information Extraction from Large-Scale Structure using Catalogues


On-chain atomic swaps for Decred and other cryptocurrencies.

Cross-chain deals and adversarial commerce

A Game-Theoretic Analysis of Cross-Chain Atomic Swaps with HTLCs

A Blueprint for Interoperable Blockchains

Invited Paper: Fault-tolerant and Expressive Cross-Chain Swaps

Cross-chain Swaps with Preferences

Transferable Cross-Chain Options


Advanced Privacy-Preserving Federated Learning framework

APPFL: Open-Source Software Framework for Privacy-Preserving Federated Learning

APPFLx: Providing Privacy-Preserving Cross-Silo Federated Learning as a Service

Advances in APPFL: A Comprehensive and Extensible Federated Learning Framework


The Atmospheric Radiative Transfer Simulator

A New Halocarbon Absorption Model Based on HITRAN Cross‐Section Data and New Estimates of Halocarbon Instantaneous Clear‐Sky Radiative Forcing

Journal of Advances in Modeling Earth Systems


Commander is an Optimal Monte-carlo Markov chAiN Driven EstimatoR which implements fast and efficient end-to-end CMB posterior exploration through Gibbs sampling.

In-flight polarization angle calibration for LiteBIRD: blind challenge and cosmological implications

BeyondPlanck I. Global Bayesian analysis of the Planck Low Frequency Instrument data

Robustness of cosmic birefringence measurement against Galactic foreground emission and instrumental systematics

B-mode forecast of CMB-Bhārat

From BEYONDPLANCK to COSMOGLOBE: Preliminary WMAP Q-band analysis

COSMOGLOBE: Towards end-to-end CMB cosmological parameter estimation without likelihood approximations


Schemata and libraries for neuroscientific data

Functional connectomics spanning multiple areas of mouse visual cortex

The Sensorium competition on predicting large-scale mouse primary visual cortex activity

Pattern completion and disruption characterize contextual modulation in the visual cortex

bioRxiv : the preprint server for biology

Bipartite invariance in mouse primary visual cortex

The Dynamic Sensorium competition for predicting large-scale mouse visual cortex activity from videos


An open-source multi-purpose N-body code.

REBOUND: an open-source multi-purpose N-body code for collisional dynamics

ias15: a fast, adaptive, high-order integrator for gravitational dynamics, accurate to machine precision over a billion orbits

Period ratios in multiplanetary systems discovered by Kepler are consistent with planet migration

Monthly Notices of the Royal Astronomical Society: Letters

Dynamical Constraints on the HR 8799 Planets with GPI

The Formation of Jupiter's Diluted Core by a Giant Impact

All planetesimals born near the Kuiper belt formed as binaries

Discovery of a Third Transiting Planet in the Kepler-47 Circumbinary System

The stability of tightly-packed, evenly-spaced systems of Earth-mass planets orbiting a Sun-like star

No circumbinary planets transiting the tightest Kepler binaries – a possible fingerprint of a third star

A gap in the planetesimal disc around HD 107146 and asymmetric warm dust emission revealed by ALMA


Code for Transformer Hawkes Process, ICML 2020.

Transformer Hawkes Process

Bellman Meets Hawkes: Model-Based Reinforcement Learning via Temporal Point Processes

Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes

ACM Transactions on Intelligent Systems and Technology

Continuous-time convolutions model of event sequences

An Empirical Study: Extensive Deep Temporal Point Process

Retrieving Continuous Time Event Sequences using Neural Temporal Point Processes with Learnable Hashing

Hawkes Process Based on Controlled Differential Equations


Narwhal and Tusk: A DAG-based Mempool and Efficient BFT Consensus.

Bullshark: DAG BFT Protocols Made Practical

Shoal: Improving DAG-BFT Latency And Robustness

Sui Lutris: A Blockchain Combining Broadcast and Consensus

Scaling Blockchain Consensus via a Robust Shared Mempool


⚠[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

A Comprehensive Survey on Graph Neural Networks

IEEE transactions on neural networks and learning systems

Attention Based Spatial-Temporal Graph Convolutional Networks for Traffic Flow Forecasting

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

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

IEEE Transactions on Intelligent Transportation Systems

Graph Neural Networks for Intelligent Transportation Systems: A Survey

A Comprehensive Survey on Traffic Prediction.


Cobra: Extending Mamba to Multi-modal Large Language Model for Efficient Inference

Mitigating Hallucination in Large Multi-Modal Models via Robust Instruction Tuning

To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning

Cobra: Extending Mamba to Multi-Modal Large Language Model for Efficient
  Inference


Publication Page for MPAL Paper 2019

A multiresolution framework to characterize single-cell state landscapes

Single-cell multi-omics identifies chronic inflammation as a driver of TP53-mutant leukemic evolution

Variant to function mapping at single-cell resolution through network propagation

Cluster-independent marker feature identification from single-cell omics data using SEMITONES

Chromatin accessibility analysis reveals regulatory dynamics and therapeutic relevance of Vogt-Koyanagi-Harada disease


An official implementation of CVPR 2022 paper "Label Matching Semi-Supervised Object Detection".

End-to-End Semi-Supervised Object Detection with Soft Teacher

A Simple Semi-Supervised Learning Framework for Object Detection

Unbiased Teacher for Semi-Supervised Object Detection


Referring Expression Datasets API

Modeling Context in Referring Expressions

Unifying Vision-and-Language Tasks via Text Generation

Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods

MosaicFusion: Diffusion Models as Data Augmenters for Large Vocabulary Instance Segmentation

Towards Language-Guided Visual Recognition via Dynamic Convolutions

Decoupling Pragmatics: Discriminative Decoding for Referring Expression Generation

Composing and Embedding the Words-as-Classifiers Model of Grounded Semantics


PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs

Tackling the Generative Learning Trilemma with Denoising Diffusion GANs

Grad-TTS: A Diffusion Probabilistic Model for Text-to-Speech

DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism

CoMoSpeech: One-Step Speech and Singing Voice Synthesis via Consistency Model

ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech

Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis

Adversarial Training of Denoising Diffusion Model Using Dual Discriminators for High-Fidelity Multi-Speaker TTS

BiVocoder: A Bidirectional Neural Vocoder Integrating Feature Extraction and Waveform Generation


Deep Learning for Person Re-identification:  A Survey and Outlook

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

ABD-Net: Attentive but Diverse Person Re-Identification

A Little Bit Attention Is All You Need for Person Re-Identification

Transformer for Object Re-Identification: A Survey


A Python Search Engine for Humans

CTQScorer: Combining Multiple Features for In-context Example Selection for Machine Translation

Structured Packing in LLM Training Improves Long Context Utilization

medIKAL: Integrating Knowledge Graphs as Assistants of LLMs for Enhanced
  Clinical Diagnosis on EMRs

Generalizable and Scalable Multistage Biomedical Concept Normalization Leveraging Large Language Models


PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization

Benchmarking Foundation Models with Language-Model-as-an-Examiner

Shepherd: A Critic for Language Model Generation

Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models

Instruction Fine-Tuning: Does Prompt Loss Matter?

The Fellowship of the LLMs: Multi-Agent Workflows for Synthetic
  Preference Optimization Dataset Generation

Sorted LLaMA: Unlocking the Potential of Intermediate Layers of Large Language Models for Dynamic Inference


NSGA-Net, a Neural Architecture Search Algorithm

NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm

NAS evaluation is frustratingly hard

NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search.

Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks.

High frequency accuracy and loss data of random neural networks trained on image datasets

Adversarial Robustness Assessment of NeuroEvolution Approaches


The released code of Neurify in NIPS 2018

Formal Security Analysis of Neural Networks using Symbolic Intervals

Efficient Formal Safety Analysis of Neural Networks

A Review of Formal Methods applied to Machine Learning

Debona: Decoupled Boundary Network Analysis for Tighter Bounds and Faster Adversarial Robustness Proofs


Nonlinear measures for dynamical systems (based on one-dimensional time series)

Android Malware Family Classification Based on Resource Consumption over Time

Robust Feature Engineering for Parkinson Disease Diagnosis: New Machine Learning Techniques

AndroDFA: Android Malware Classification Based on Resource Consumption

Comprehensive HRV estimation pipeline in Python using Neurokit2: Application to sleep physiology

On Lyapunov exponents and adversarial perturbation

Learning Non-Vacuous Generalization Bounds from Optimization


A PyTorch Platform for Distributed RL

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

TorchBeast: A PyTorch Platform for Distributed RL

MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions

Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning

CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents

Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds

Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning

Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning

Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward


A Riemannian Modification of Artifact Subspace Reconstruction for EEG Artifact Handling

Preparing Laboratory and Real-World EEG Data for Large-Scale Analysis: A Containerized Approach

Dynamics of directional tuning and reference frames in humans: A high-density EEG study

Neural and behavioral adaptations to frontal theta neurofeedback training: A proof of concept study

MuseStudio: Brain Activity Data Management Library for Low-Cost EEG Devices

NeuXus: A Biosignal Processing and Classification Pipeline for Real-Time Brain-Computer Interaction

An open-source human-in-the-loop BCI research framework: method and design

The Impact of Various Cockpit Display Interfaces on Novice Pilots’ Mental Workload and Situational Awareness: A Comparative Study

SigViewer: Visualizing Multimodal Signals Stored in XDF (Extensible Data Format) Files


Evolution Strategies in JAX

evosax: JAX-based Evolution Strategies

Discovering Evolution Strategies via Meta-Black-Box Optimization

Discovering Attention-Based Genetic Algorithms via Meta-Black-Box Optimization

cmaes : A Simple yet Practical Python Library for CMA-ES

Evolution Transformer: In-Context Evolutionary Optimization

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


Efficient program for calculating Extended Haplotype Homozygosity (EHH) and Integrated Haplotype Score (iHS)

An ancient viral epidemic involving host coronavirus interacting genes more than 20,000 years ago in East Asia

The Quest for Genes Involved in Adaptation to Climate Change in Ruminant Livestock

Animals : an open access journal from MDPI

TLR1 Variant H305L Associated with Protection from Pulmonary Tuberculosis

Inferring Signatures of Positive Selection in Whole-Genome Sequencing Data: An Overview of Haplotype-Based Methods


A novel application of the RAMP main engine for generating bottom-up stochastic electric vehicles load profiles.


Knowledge Computing group - MSRA

ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question Answering

Meeting of the Association for Computational Linguistics

TIARA: Multi-grained Retrieval for Robust Question Answering over Large Knowledge Base

Multi-Level Knowledge Distillation for Out-of-Distribution Detection in Text

On the Effectiveness of Sentence Encoding for Intent Detection Meta-Learning

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

Do I have the Knowledge to Answer? Investigating Answerability of Knowledge Base Questions

Few-shot Transfer Learning for Knowledge Base Question Answering: Fusing Supervised Models with In-Context Learning


A full Python Implementation of the ROUGE Metric (not a wrapper)

BanditSum: Extractive Summarization as a Contextual Bandit

A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts

Generationary or ``How We Went beyond Word Sense Inventories and Learned to Gloss''

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP)

Element-aware Summarization with Large Language Models: Expert-aligned Evaluation and Chain-of-Thought Method

A Domain-Specific Generative Chatbot Trained from Little Data

Reading Like HER: Human Reading Inspired Extractive Summarization

Simple Conversational Data Augmentation for Semi-supervised Abstractive Dialogue Summarization

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

Bidirectional Language Models Are Also Few-shot Learners

Reinforcement Learning with Imbalanced Dataset for Data-to-Text Medical Report Generation

SOTitle: A Transformer-based Post Title Generation Approach for Stack Overflow


Analyse Nucleic Acids Structure and Simulations with baRNAba

The role of nucleobase interactions in RNA structure and dynamics

Computer Folding of RNA Tetraloops: Identification of Key Force Field Deficiencies

Journal of chemical theory and computation

Barnaba: software for analysis of nucleic acid structures and trajectories

Elastic network models for RNA: a comparative assessment with molecular dynamics and SHAPE experiments

RNA folding pathways in stop motion

Kissing loop interaction in adenine riboswitch: insights from umbrella sampling simulations

Evaluation of the stereochemical quality of predicted RNA 3D models in the RNA-Puzzles submissions

Conformational Ensemble of RNA Oligonucleotides from Reweighted Molecular Simulations


A complete pipeline for metagenomic analysis

SqueezeMeta, A Highly Portable, Fully Automatic Metagenomic Analysis Pipeline

SQMtools: automated processing and visual analysis of ’omics data with R and anvi’o

Metabolic pathways inferred from a bacterial marker gene illuminate ecological changes across South Pacific frontal boundaries

Trajectories of freshwater microbial genomics and greenhouse gas saturation upon glacial retreat

In-situ metagenomics: A platform for rapid sequencing and analysis of metagenomes in less than one day

Metatranscriptome sequencing identifies Escherichia are major contributors to pathogenic functions and biofilm formation in diabetes related foot osteomyelitis


Utility functions for working with DICOM and BIDS neuroimaging data

Intrinsic Functional Connectivity of the Brain in Adults with a Single Cerebral Hemisphere

BIDScoin: A User-Friendly Application to Convert Source Data to Brain Imaging Data Structure

Reorganization of the Social Brain in Individuals with Only One Intact Cerebral Hemisphere

The BIDS Toolbox: A web service to manage brain imaging datasets


Code for the TCAV ML interpretability project

Interpretability Beyond Feature Attribution: Quantitative Testing with Concept Activation Vectors (TCAV)

Explainable AI Methods - A Brief Overview

Survey of Explainable AI Techniques in Healthcare

Best of both worlds: local and global explanations with human-understandable concepts

TCAV: Relative concept importance testing with Linear Concept Activation Vectors

Uncertainty in XAI: Human Perception and Modeling Approaches

Machine Learning and Knowledge Extraction


A General-Purpose Tool for Formal Concept Analysis

Knowledge cores in large formal contexts

FCA2VEC: Embedding Techniques for Formal Concept Analysis

Drawing Order Diagrams Through Two-Dimension Extension

Detecting Important Patterns Using Conceptual Relevance Interestingness Measure

Towards Ordinal Data Science


Python for Materials Machine Learning, Materials Descriptors, Machine Learning Force Fields, Deep Learning, etc.

Performance and Cost Assessment of Machine Learning Interatomic Potentials

Accelerating materials discovery with Bayesian optimization and graph deep learning

Bridging the gap between simulated and experimental ionic conductivities in lithium superionic conductors

Multi-scale investigation of short-range order and dislocation glide in MoNbTi and TaNbTi multi-principal element alloys

A Universal Machine Learning Model for Elemental Grain Boundary Energies

Intercalation Chemistry of the Disordered Rocksalt Li3V2O5 Anode from Cluster Expansions and Machine Learning Interatomic Potentials

Robust training of machine learning interatomic potentials with dimensionality reduction and stratified sampling

Discovery of 2D materials using Transformer Network based Generative Design

Performance Assessment of Universal Machine Learning Interatomic
  Potentials: Challenges and Directions for Materials' Surfaces


User manual and example notebooks for the pytket quantum computing toolkit

t|ket⟩: a retargetable compiler for NISQ devices

On the qubit routing problem

Phase Gadget Synthesis for Shallow Circuits

QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer

Quantum Natural Language Processing on Near-Term Quantum Computers

Optimality Study of Existing Quantum Computing Layout Synthesis Tools

lambeq: An Efficient High-Level Python Library for Quantum NLP

Qubit Mapping Based on Subgraph Isomorphism and Filtered Depth-Limited Search

Grammar-aware sentence classification on quantum computers

Arline Benchmarks: Automated Benchmarking Platform for Quantum Compilers


Tool for the Quality Control of Long-Read Defined Transcriptomes

Robust single-cell discovery of RNA targets of RNA binding proteins and ribosomes

SQANTI3: curation of long-read transcriptomes for accurate identification of known and novel isoforms

High-throughput and high-accuracy single-cell RNA isoform analysis using PacBio circular consensus sequencing

Genome and transcriptome assemblies of the kuruma shrimp, Marsupenaeus japonicus

Long-read isoform sequencing reveals tissue-specific isoform expression between active and hibernating brown bears (Ursus arctos)

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

In-depth Temporal Transcriptome Profiling of Monkeypox and Host Cells using Nanopore Sequencing

Reference long-read isoform-aware transcriptomes of 4 human peripheral blood lymphocyte subsets

The annotation of GBA1 has been concealed by its protein-coding pseudogene GBAP1

Single-cell analysis of isoform switching and transposable element expression during preimplantation embryonic development


NViSII: A Scriptable Tool for Photorealistic Image Generation

GPU-based Data-parallel Rendering of Large, Unstructured, and Non-convexly Partitioned Data

Mochi: Fast & Exact Collision Detection

Arkade: k-Nearest Neighbor Search With Non-Euclidean Distances using GPU Ray Tracing


Low-precision matrix multiplication

TensorFlow: A system for large-scale machine learning

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

Quantizing deep convolutional networks for efficient inference: A whitepaper

Pruning and Quantization for Deep Neural Network Acceleration: A Survey

Scalable Methods for 8-bit Training of Neural Networks

Trained Quantization Thresholds for Accurate and Efficient Fixed-Point Inference of Deep Neural Networks

DeepShift: Towards Multiplication-Less Neural Networks

Freely scalable and reconfigurable optical hardware for deep learning

Inference of Quantized Neural Networks on Heterogeneous All-Programmable Devices

PROCEEDINGS OF THE 2018 DESIGN, AUTOMATION & TEST IN EUROPE CONFERENCE & EXHIBITION (DATE)

A Statistical Framework for Low-bitwidth Training of Deep Neural Networks


Connectome Mapper

Topographic gradients of intrinsic dynamics across neocortex

Learning function from structure in neuromorphic networks

Signal propagation via cortical hierarchies

Network structure and transcriptomic vulnerability shape atrophy in frontotemporal dementia

Fluctuations between high- and low-modularity topology in time-resolved functional connectivity

Correspondence between gene expression and neurotransmitter receptor and transporter density in the human brain

Molecular signatures of cognition and affect

Global network structure and local transcriptomic vulnerability shape atrophy in sporadic and genetic behavioral variant frontotemporal dementia


Structured Edge Detection Toolbox

BING: Binarized normed gradients for objectness estimation at 300fps

EpicFlow: Edge-Preserving Interpolation of Correspondences for Optical Flow

Getting to Know Low-light Images with The Exclusively Dark Dataset

Embedding Structured Contour and Location Prior in Siamesed Fully Convolutional Networks for Road Detection

International Conference on Robotics and Automation

Real-Time Referring Expression Comprehension by Single-Stage Grounding Network

Object-Proposal Evaluation Protocol is 'Gameable'

Learning layer-specific edges for segmenting retinal layers with large deformations

Neuro-inspired edge feature fusion using Choquet integrals

Una Revisión Sistemática de Métodos para Localizar Automáticamente Objetos en Imágenes

Revista Iberoamericana de Automática e Informática industrial

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation


Code for conservative Q-learning

D4RL: Datasets for Deep Data-Driven Reinforcement Learning

A Minimalist Approach to Offline Reinforcement Learning

Offline Reinforcement Learning with Implicit Q-Learning

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble

d3rlpy: An Offline Deep Reinforcement Learning Library

Believe What You See: Implicit Constraint Approach for Offline Multi-Agent Reinforcement Learning

Mildly Conservative Q-Learning for Offline Reinforcement Learning

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Supported Policy Optimization for Offline Reinforcement Learning


An implement R package to visualize GSEA results

Expression and regulatory characteristics of peripheral blood immune cells in primary Sjögren’s syndrome patients using single-cell transcriptomic

Specific signature biomarkers highlight the potential mechanisms of circulating neutrophils in aneurysmal subarachnoid hemorrhage

The Infiltration of Neutrophil Granulocytes Due to Loss of PTEN Was Associated with Poor Response to Immunotherapy in Renal Cell Carcinoma

Nanoparticles targeting mutant p53 overcome chemoresistance and tumor recurrence in non-small cell lung cancer

Stratification of non-small cell lung adenocarcinoma patients with EGFR actionable mutations based on drug-resistant stem cell genes


A pre-trained GPT model for Python code completion and generation

CERT: Continual Pre-Training on Sketches for Library-Oriented Code Generation

When Language Model Meets Private Library

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls
  and Complex Instructions

A Survey on Large Language Models for Software Engineering

BAMBOO: A Comprehensive Benchmark for Evaluating Long Text Modeling Capacities of Large Language Models


Pairwise SNP distance matrix from a FASTA sequence alignment

Bactopia: a flexible pipeline for complete analysis of bacterial genomes

A large-scale genomic snapshot of Klebsiella spp. isolates in Northern Italy reveals limited transmission between clinical and non-clinical settings

A Genome Epidemiological Study of SARS-CoV-2 Introduction into Japan

Within-host microevolution of Streptococcus pneumoniae is rapid and adaptive during natural colonisation

Variation and transmission of the human gut microbiota across multiple familial generations

Genome Dynamics of Vibrio cholerae Isolates Linked to Seasonal Outbreaks of Cholera in Dhaka, Bangladesh

Evaluation of phylogenetic reconstruction methods using bacterial whole genomes: a simulation based study

Companion Animals Are Spillover Hosts of the Multidrug-Resistant Human Extraintestinal Escherichia coli Pandemic Clones ST131 and ST1193

Evaluating the potential for respiratory metagenomics to improve treatment of secondary infection and detection of nosocomial transmission on expanded COVID-19 intensive care units

Antibiotic resistance genes in the gut microbiota of mothers and linked neonates with or without sepsis from low- and middle-income countries


Pure-Python DAG-based high-performance SHM-backed pub-sub and multi-processing pattern

Stable Decoding from a Speech BCI Enables Control for an Individual with ALS without Recalibration for 3 Months

Online speech synthesis using a chronically implanted brain-computer interface in an individual with ALS

medRxiv : the preprint server for health sciences

A click-based electrocorticographic brain-computer interface enables long-term high-performance switch scan spelling


UniTable: Towards a Unified Table Foundation Model

High-Performance Transformers for Table Structure Recognition Need Early Convolutions


Deep Learning based cell composition analysis with Scaden.

Deep-learning-based cell composition analysis from tissue expression profiles

Deep Learning in Single-Cell Analysis

DAISM-DNNXMBD: Highly accurate cell type proportion estimation with in silico data augmentation and deep neural networks

Multiomic ALS signatures highlight subclusters and sex differences suggesting the MAPK pathway as therapeutic target


Creative Commons Attribution 4.0 International

[ACL 2024 ] Video-ChatGPT is a video conversation model capable of generating meaningful conversation about videos. It combines the capabilities of LLMs with a pretrained visual encoder adapted for spatiotemporal video representation. We also introduce a rigorous 'Quantitative Evaluation Benchmarking' for video-based conversational models.

Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment

IEEE transactions on pattern analysis and machine intelligence

FunQA: Towards Surprising Video Comprehension

Clarity ChatGPT: An Interactive and Adaptive Processing System for Image Restoration and Enhancement

Uncovering Hidden Connections: Iterative Tracking and Reasoning for Video-grounded Dialog

AffectGPT: Dataset and Framework for Explainable Multimodal Emotion
  Recognition


code and docs for my EMNLP paper "DeepPath: A Reinforcement Learning Method for Knowledge Graph Reasoning"

Deep Learning on Graphs: A Survey

M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search

Variational Knowledge Graph Reasoning

DAPath: Distance-aware knowledge graph reasoning based on deep reinforcement learning

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

Reinforcement learning on graphs: A survey

A Framework to Quantify Approximate Simulation on Graph Data

Memory-Enhanced Knowledge Reasoning with Reinforcement Learning

A Systematic Review of Deep Graph Neural Networks: Challenges, Classification, Architectures, Applications & Potential Utility in Bioinformatics

Discover Important Paths in the Knowledge Graph Based on Dynamic Relation Confidence


Inferring and Executing Programs for Visual Reasoning

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

Measuring CLEVRness: Blackbox testing of Visual Reasoning Models


Reference setup for iC880a gateways running The Things Network

A Dual Key-Based Activation Scheme for Secure LoRaWAN

Wireless Communications and Mobile Computing

Enhancing Extensive and Remote LoRa Deployments through MEC-Powered Drone Gateways

LoRaWAN Base Station Improvement for Better Coverage and Capacity

Journal of Low Power Electronics and Applications


Adaptive Skip-gram implementation in Julia

Breaking Sticks and Ambiguities with Adaptive Skip-gram

Conditional Generators of Words Definitions

Unsupervised Does Not Mean Uninterpretable: The Case for Word Sense Induction and Disambiguation

Zenodo (CERN European Organization for Nuclear Research)

Improving Document Classification with Multi-Sense Embeddings

Improving Neural Sequence Labelling using Additional Linguistic Information

Evaluating a Multi-sense Definition Generation Model for Multiple Languages


Scanomatic

Scan-o-matic: High-Resolution Microbial Phenomics at a Massive Scale

A High-Throughput Method for Screening for Genes Controlling Bacterial Conjugation of Antibiotic Resistance

Genetically controlled mtDNA deletions prevent ROS damage by arresting oxidative phosphorylation

Adaptation of the yeast gene knockout collection is near-perfectly predicted by fitness and diminishing return epistasis


Scans genome contigs against the ResFinder, PlasmidFinder, and PointFinder databases.

Identification of acquired antimicrobial resistance genes

The Journal of antimicrobial chemotherapy

In Silico Detection and Typing of Plasmids using PlasmidFinder and Plasmid Multilocus Sequence Typing

Open-access bacterial population genomics: BIGSdb software, the PubMLST.org website and their applications

PointFinder: a novel web tool for WGS-based detection of antimicrobial resistance associated with chromosomal point mutations in bacterial pathogens

Correlation between Phenotypic and In Silico Detection of Antimicrobial Resistance in Salmonella enterica in Canada Using Staramr

Benchmarking hybrid assembly approaches for genomic analyses of bacterial pathogens using Illumina and Oxford Nanopore sequencing

NanoGalaxy: Nanopore long-read sequencing data analysis in Galaxy

Secrets of the Hospital Underbelly: Patterns of Abundance of Antimicrobial Resistance Genes in Hospital Wastewater Vary by Specific Antimicrobial and Bacterial Family

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

Benchmarking Long-Read Assemblers for Genomic Analyses of Bacterial Pathogens Using Oxford Nanopore Sequencing

International journal of molecular sciences


DALI Multi Agent System Framework

Logic-based technologies for multi-agent systems: a systematic literature review

Autonomous Agents and Multi-Agent Systems

Overview of Software Agent Platforms Available in 2023

Ensuring trustworthy and ethical behaviour in intelligent logical agents


Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments

Leveraging Procedural Generation to Benchmark Reinforcement Learning

Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark

Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning

DNA: Proximal Policy Optimization with a Dual Network Architecture

DEIR: Efficient and Robust Exploration through Discriminative-Model-Based Episodic Intrinsic Rewards