Library for collision detection between two convex shapes

Relaxed-rigidity constraints: kinematic trajectory optimization and collision avoidance for in-grasp manipulation

Geometric In-Hand Regrasp Planning: Alternating Optimization of Finger Gaits and In-Grasp Manipulation

DiffCo: Autodifferentiable Proxy Collision Detection With Multiclass Labels for Safety-Aware Trajectory Optimization

Contact Models in Robotics: a Comparative Analysis


Creative Commons Attribution Share Alike 4.0 International

STREUSLE: a corpus with comprehensive lexical semantic annotation (multiword expressions, supersenses)

Comprehensive Supersense Disambiguation of English Prepositions and Possessives

Multi-Task Learning for Sequence Tagging: An Empirical Study

Scientific Keyphrase Identification and Classification by Pre-Trained Language Models Intermediate Task Transfer Learning

International Conference on Computational Linguistics

Lexical Semantic Recognition

Semantic Supersenses for English Possessives

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

Constructing an Annotated Corpus of Verbal MWEs for English

A Corpus of Adpositional Supersenses for Mandarin Chinese

Adposition and Case Supersenses v2.6: Guidelines for English

Comparison by Conversion: Reverse-Engineering UCCA from Syntax and Lexical Semantics

Sprucing up Supersenses: Untangling the Semantic Clusters of Accompaniment and Purpose


Privacy Testing for Deep Learning

Knockoff Nets: Stealing Functionality of Black-Box Models

Membership Inference Attacks on Machine Learning: A Survey

Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment

A Survey of Privacy Attacks in Machine Learning

GRAIMATTER Green Paper: Recommendations for disclosure control of
  trained Machine Learning (ML) models from Trusted Research Environments
  (TREs)

Privatsphärefreundliches maschinelles Lernen


A python package to analyze and compare voices with deep learning

Generalized End-to-End Loss for Speaker Verification

FragmentVC: Any-to-Any Voice Conversion by End-to-End Extracting and
  Fusing Fine-Grained Voice Fragments With Attention

Multi-Singer: Fast Multi-Singer Singing Voice Vocoder With A Large-Scale Corpus

Investigating on Incorporating Pretrained and Learnable Speaker Representations for Multi-Speaker Multi-Style Text-to-Speech

Multimodal Emotion Recognition with High-level Speech and Text Features

Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning.

S2VC: A Framework for Any-to-Any Voice Conversion with Self-Supervised Pretrained Representations

Defending Your Voice: Adversarial Attack on Voice Conversion

Gender and Age Estimation Methods Based on Speech Using Deep Neural Networks

Guided-TTS 2: A Diffusion Model for High-quality Adaptive Text-to-Speech
  with Untranscribed Data


butteraugli estimates the psychovisual difference between two images

Towards improved lossy image compression: Human image reconstruction with public-domain images

Noise generation for compression algorithms

JQF: Optimal JPEG Quantization Table Fusion by Simulated Annealing on Texture Images and Predicting Textures


Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci

Suitability of GWAS as a Tool to Discover SNPs Associated with Tick Resistance in Cattle: A Review

Novel Risk Associations between microRNA Polymorphisms and Gastric Cancer in a Chilean Population

International journal of molecular sciences


Python interface to the WebRTC Voice Activity Detector

Continuous speech separation: dataset and analysis

The Second DIHARD Diarization Challenge: Dataset, task, and baselines

YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice
  Conversion for everyone

SC-GlowTTS: an Efficient Zero-Shot Multi-Speaker Text-To-Speech Model

An End-to-End Architecture for Keyword Spotting and Voice Activity
  Detection

SPGISpeech: 5,000 hours of transcribed financial audio for fully formatted end-to-end speech recognition

Towards Building ASR Systems for the Next Billion Users

Investigation of End-To-End Speaker-Attributed ASR for Continuous
  Multi-Talker Recordings

VoxSRC 2021: The Third VoxCeleb Speaker Recognition Challenge

Classification vs. Regression in Supervised Learning for Single Channel Speaker Count Estimation

International Conference on Acoustics, Speech, and Signal Processing


Ridgeline plots in ggplot2

A modified GC-specific MAKER gene annotation method reveals improved and novel gene predictions of high and low GC content in Oryza sativa

E3 ubiquitin ligase Wwp1 regulates ciliary dynamics of the Hedgehog receptor Smoothened

The journal of cell biology/The Journal of cell biology

Progeria and Aging—Omics Based Comparative Analysis


Python Pushshift.io API Wrapper (for comment/submission search)

Joint Rumour Stance and Veracity Prediction

Proceedings of the  Conference for Truth and Trust Online 2019

Exploring Online Depression Forums via Text Mining: A Comparison of Reddit and a Curated Online Forum

Offence in Dialogues: A Corpus-Based Study

Recent Advances in Natural Language Processing

Surveillance of COVID-19 Pandemic using Social Media: A Reddit Study in North Carolina

Exploring usability of Reddit in data science and knowledge processing

Benefits and concerns of seeking and experiencing lucid dreams: benefits are tied to successful induction and dream control

Sleep advances : a journal of the Sleep Research Society

Danish Stance Classification and Rumour Resolution

Reddit-TUDFE: practical tool to explore Reddit usability in data science and knowledge processing.

Analysis of Chronic Pain Experiences Based on Online Reports: the RRCP Dataset.

No, you’re not alone: A better way to find people with similar experiences on Reddit

Empirical Methods in Natural Language Processing


GMD problem formulation for PowerModels.jl

PowerModelsDistribution.jl: An open-source framework for exploring distribution power flow formulations

Mitigating the Impacts of Uncertain Geomagnetic Disturbances on Electric Grids: A Distributionally Robust Optimization Approach

Analyzing and Mitigating the Impacts of GMD and EMP Events on the
  Electrical Grid with PowerModelsGMD.jl

Distributionally Robust Optimization for a Resilient Transmission Grid During Geomagnetic Disturbances.

Relaxation Based Modeling of GMD Induced Cascading Failures in PowerModelsGMD.jl


This is the alpha version of the CellOracle package

Dissecting cell identity via network inference and in silico gene perturbation

High-performance single-cell gene regulatory network inference at scale: the Inferelator 3.0

Gene Regulatory Network Reconfiguration in Direct Lineage Reprogramming


Python Multi-Agent Reinforcement Learning framework

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

The StarCraft Multi-Agent Challenge

A survey and critique of multiagent deep reinforcement learning

Learning Transferable Cooperative Behavior in Multi-Agent Teams

Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning

UPDeT: Universal Multi-agent RL via Policy Decoupling with Transformers

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

Multi-Agent Incentive Communication via Decentralized Teammate Modeling

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

The Relationship Between Vitamin D and Asthma Exacerbation


Official repo for VGen: a holistic video generation ecosystem for video generation building on diffusion models

Composer: Creative and Controllable Image Synthesis with Composable
  Conditions

ModelScope Text-to-Video Technical Report

I2VGen-XL: High-Quality Image-to-Video Synthesis via Cascaded Diffusion
  Models

DreamVideo: Composing Your Dream Videos with Customized Subject and
  Motion

Hierarchical Spatio-temporal Decoupling for Text-to-Video Generation

VideoLCM: Video Latent Consistency Model


Visit PixelLib's official documentation  https://pixellib.readthedocs.io/en/latest/

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

PointRend: Image Segmentation as Rendering

Simplifying Object Segmentation with PixelLib Library

Developing a Free and Open-Source Semi-Automated Building Exterior Crack Inspection Software for Construction and Facility Managers


Duke is a fast and flexible deduplication engine written in Java

PyPSA-Eur: An open optimisation model of the European transmission system

End-to-End Entity Resolution for Big Data: A Survey.

Performing energy modelling exercises in a transparent way the issue of data quality in power plant databases

A survey of OpenRefine reconciliation services

Duplication Detection in Knowledge Graphs: Literature and Tools

Duplicate Detection as a Service

A Research Agenda for IOT Adaptive Architectures


Anti-Adblock Killer helps you keep your Ad-Blocker active, when you visit a website and it asks you to disable.

AdGraph: A Graph-Based Approach to Ad and Tracker Blocking

AdGraph: A Machine Learning Approach to Automatic and Effective Adblocking.

A First Look at Ad-block Detection: A New Arms Race on the Web

Block the blocker: Studying the effects of Anti Ad-blocking


High-accuracy simulation of light propagation

A convergent Born series for solving the inhomogeneous Helmholtz equation in arbitrarily large media

Ultra-thin boundary layer for high-accuracy simulations of light propagation

Observation of Light-Induced Dipole-Dipole Forces in Ultracold Atomic Gases


This is the repository of our article published in RecSys 2020 "Are We Evaluating Rigorously? Benchmarking Recommendation for Reproducible Evaluation and Fair Comparison"

Embarrassingly Shallow Autoencoders for Sparse Data

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

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

A Comprehensive Survey on Trustworthy Recommender Systems

Improving accountability in recommender systems research through reproducibility

Infinite Recommendation Networks: A Data-Centric Approach

DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation

Recommend for a Reason: Unlocking the Power of Unsupervised Aspect-Sentiment Co-Extraction


Sandia National Laboratories' Albany multiphysics code

Predicting the mechanical response of oligocrystals with deep learning

MPAS-Albany Land Ice (MALI): a variable-resolution ice sheet model for Earth system modeling using Voronoi grids

Zenodo (CERN European Organization for Nuclear Research)

Machine learning models of plastic flow based on representation theory

On the scalability of the Albany/FELIX first-order Stokes approximation ice sheet solver for large-scale simulations of the Greenland and Antarctic ice sheets.

Mesh-based graph convolutional neural networks for modeling materials with microstructure

GRINS: A Multiphysics Framework Based on the libMesh Finite Element Library

Comparison of dislocation density tensor fields derived from discrete dislocation dynamics and crystal plasticity simulations of torsion

An optimization-based strategy for peridynamic-FEM coupling and for the prescription of nonlocal boundary conditions

The IMA volumes in mathematics and its applications


Arduino library to monitor battery consumption


A collection of research on knowledge graphs

A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

IEEE transactions on neural networks and learning systems

A Review of Relational Machine Learning for Knowledge Graphs

Knowledge Graphs

Knowledge Representation Learning: A Quantitative Review


The schedule of the seminar

Large-scale cluster management at Google with Borg

Borg, Omega, and Kubernetes

The dataflow model

Stateful Scalable Stream Processing at LinkedIn.

The Snowflake Elastic Data Warehouse

SIGMOD'16: PROCEEDINGS OF THE 2016 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Amazon Aurora: Design Considerations for High Throughput Cloud-Native Relational Databases

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

State management in Apache Flink®

Autopilot: workload autoscaling at Google

PROCEEDINGS OF THE FIFTEENTH EUROPEAN CONFERENCE ON COMPUTER SYSTEMS (EUROSYS'20)

Structured Streaming: A Declarative API for Real-Time Applications in Apache Spark

SIGMOD'18: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Cloudburst: Stateful Functions-as-a-Service


Clone of the Bioconductor repository for the onlineFDR package. See https://bioconductor.org/packages/devel/bioc/html/onlineFDR.html for the official development version, and https://dsrobertson.github.io/onlineFDR/ for easy access to documentation.

On Online Control of False Discovery Rate

Asynchronous Online Testing of Multiple Hypotheses

Online control of the familywise error rate


RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies

Whole genome sequencing in clinical and public health microbiology

The tuatara genome reveals ancient features of amniote evolution

Large-scale phylogenomic analysis resolves a backbone phylogeny in ferns

Comprehensive Genomic Profiling of Neuroendocrine Carcinomas of the Gastrointestinal System

A Format for Phylogenetic Placements

Complete Genome Sequencing and Comparative Genome Characterization of Lactobacillus johnsonii ZLJ010, a Potential Probiotic With Health-Promoting Properties

Complete Genome Sequencing of Lactobacillus plantarum ZLP001, a Potential Probiotic That Enhances Intestinal Epithelial Barrier Function and Defense Against Pathogens in Pigs

Target Nuclear and Off-Target Plastid Hybrid Enrichment Data Inform a Range of Evolutionary Depths in the Orchid Genus Epidendrum

Biocontrol Potential of a Novel Endophytic Bacterium From Mulberry (Morus) Tree

Frontiers in bioengineering and biotechnology


Towards A Standardized Tag Recommender Benchmarking Framework

Temporal Effects on Hashtag Reuse in Twitter: A Cognitive-Inspired Hashtag Recommendation Approach

The Influence of Frequency, Recency and Semantic Context on the Reuse of Tags in Social Tagging Systems

Attention Please! A Hybrid Resource Recommender Mimicking Attention-Interpretation Dynamics

Recommending Items in Social Tagging Systems Using Tag and Time Information

The TagRec Framework as a Toolkit for the Development of Tag-Based Recommender Systems

Modeling Popularity and Temporal Drift of Music Genre Preferences

Transactions of the International Society for Music Information Retrieval

Forgetting the Words but Remembering the Meaning: Modeling Forgetting in a Verbal and Semantic Tag Recommender

Modeling Cognitive Processes in Social Tagging to Improve Tag Recommendations

Modeling Activation Processes in Human Memory to Improve Tag Recommendations


Creating multimodal multitask models

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

Unsupervised Translation of Programming Languages

Pretrained Transformers as Universal Computation Engines

Many Heads but One Brain: an Overview of Fusion Brain Challenge on AI Journey 2021


GO enrichment with python -- pandas meets networkx

GOnet: a tool for interactive Gene Ontology analysis

Style transfer with variational autoencoders is a promising approach to RNA-Seq data harmonization and analysis


The SDK for penglai-enclave


Norwegian Transformer Model

Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach

Operationalizing a National Digital Library: The Case for a Norwegian Transformer Model

Large-Scale Contextualised Language Modelling for Norwegian.

Occupational Biases in Norwegian and Multilingual Language Models

Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP)

NorDial: A Preliminary Corpus of Written Norwegian Dialect Use

Training a T5 Using Lab-sized Resources

Measuring Normative and Descriptive Biases in Language Models Using Census Data


Determine pixel coordinates for TESS targets

Variability of OB stars from TESS southern Sectors 1-13 and high-resolution IACOB and OWN spectroscopy

The TESS Faint-star Search: 1617 TOIs from the TESS Primary Mission

The Astrophysical journal. Supplement series/Astrophysical journal. Supplement series


Easily download and visualise climate data from CliFlo


SmartCheck – a static analysis tool that detects vulnerabilities and bugs in Solidity programs (Ethereum-based smart contracts).

SmartCheck: Static Analysis of Ethereum Smart Contracts

Proceedings of the 1st International Workshop on Emerging Trends in Software Engineering for Blockchain

Empirical Review of Automated Analysis Tools on 47,587 Ethereum Smart Contracts

International Conference on Software Engineering

Systematic Review of Security Vulnerabilities in Ethereum Blockchain Smart Contract

An Analysis of Smart Contracts Security Threats Alongside Existing Solutions

Smart Contract Vulnerability Detection Technique: A Survey

Profiling Gas Consumption in Solidity Smart Contracts

TokenHook: Secure ERC-20 smart contract.

VOLCANO: Detecting Vulnerabilities of Ethereum Smart Contracts Using
  Code Clone Analysis

Empirical Review of Smart Contract and DeFi Security: Vulnerability
  Detection and Automated Repair


Must-read Papers on pre-trained language models.

Pre-trained models for natural language processing: A survey

Machine Reading Comprehension: The Role of Contextualized Language Models and Beyond

Emerging trends: A gentle introduction to fine-tuning

BERT-deep CNN: state of the art for sentiment analysis of COVID-19 tweets


Bicleaner fork that uses neural networks

Unsupervised Cross-lingual Representation Learning at Scale

A Decomposable Attention Model for Natural Language Inference

Bicleaner AI: Bicleaner Goes Neural

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

There's no Data Like Better Data: Using QE Metrics for MT Data Filtering


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

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

Learning to select data for transfer learning with Bayesian Optimization

On-the-fly Operation Batching in Dynamic Computation Graphs

The Lacunae of Danish Natural Language Processing

Nordic Conference of Computational Linguistics

A General-Purpose Tagger with Convolutional Neural Networks

Improving neural tagging with lexical information

International Workshop/Conference on Parsing Technologies

All-In-1 at IJCNLP-2017 Task 4: Short Text Classification with One Model for All Languages

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

Bornholmsk Natural Language Processing: Resources and Tools

Simple Natural Language Processing Tools for Danish


Automated lung segmentation in CT

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

TotalSegmentator: Robust Segmentation of 104 Anatomic Structures in CT Images.

Integrative Analysis for COVID-19 Patient Outcome Prediction

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

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

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

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

International journal of computer assisted radiology and surgery

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

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

An Exploratory Characterization of Bugs in COVID-19 Software Projects


Interface to the LAke multi-scaled GeOSpatial & temporal database :earth_americas:


LSMS is a code for scalable first principles calculations of materials using multiple scattering theory.

Multi-task graph neural networks for simultaneous prediction of global and atomic properties in ferromagnetic systems

Machine learning: science and technology

Machine Learning for First Principles Calculations of Material
  Properties for Ferromagnetic Materials


Core Data of HowNet and OpenHowNet Python API

OpenHowNet: An Open Sememe-based Lexical Knowledge Base

Representation Learning for Natural Language Processing

Towards Building a Multilingual Sememe Knowledge Base: Predicting Sememes for BabelNet Synsets

Does Attention Mechanism Possess the Feature of Human Reading? A Perspective of Sentiment Classification Task


Python package to Create, Read, Write, Edit, and Visualize GSFLOW models

Integrated hydrologic model development and postprocessing for GSFLOW using pyGSFLOW


Data package: time series of load, wind and solar generation


MIRTK based SVR reconstruction

Deformable Slice-to-Volume Registration for Motion Correction of Fetal Body and Placenta MRI

Fetal whole‐heart 4D imaging using motion‐corrected multi‐planar real‐time MRI

Fetal whole heart blood flow imaging using 4D cine MRI

Higher order spherical harmonics reconstruction of fetal diffusion MRI with intensity correction

NeSVoR: Implicit Neural Representation for Slice-to-Volume Reconstruction in MRI

Motion corrected fetal body magnetic resonance imaging provides reliable 3D lung volumes in normal and abnormal fetuses

Deformable Slice-to-Volume Registration for Reconstruction of Quantitative T2* Placental and Fetal MRI

Medical Ultrasound, and Preterm, Perinatal and Paediatric Image Analysis


Ego4D: Around the World in 3,000 Hours of Egocentric Video

Continuous speech separation: dataset and analysis

AISHELL-4: An Open Source Dataset for Speech Enhancement, Separation, Recognition and Speaker Diarization in Conference Scenario

KsponSpeech: Korean Spontaneous Speech Corpus for Automatic Speech Recognition

FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition

Continuous Speech Separation with Ad Hoc Microphone Arrays

The EMPATHIC project

End-to-End Speech Recognition and Disfluency Removal

PriMock57: A Dataset Of Primary Care Mock Consultations

Automatic Speech Recognition Services: Deaf and Hard-of-Hearing Usability


A versatile tool to perform pile-up analysis on Hi-C data in .cool format.

Cooler: scalable storage for Hi-C data and other genomically-labeled arrays

Enhancer–promoter interactions and transcription are largely maintained upon acute loss of CTCF, cohesin, WAPL or YY1

Coolpup.py: versatile pile-up analysis of Hi-C data

Chromatin organizer SATB1 controls the cell identity of CD4+ CD8+ double-positive thymocytes by regulating the activity of super-enhancers

Ultra-long-range interactions between active regulatory elements

Multidimensional profiling reveals GATA1-modulated stage-specific chromatin states and functional associations during human erythropoiesis


Contains the behavior engine FlexBE.

Human-robot collaborative high-level control with application to rescue robotics

International Conference on Robotics and Automation

Reactive high-level behavior synthesis for an Atlas humanoid robot

Collaborative Autonomy between High‐level Behaviors and Human Operators for Remote Manipulation Tasks using Different Humanoid Robots

Flexible Navigation: Finite state machine-based integrated navigation and control for ROS enabled robots

A Comprehensive Software Framework for Complex Locomotion and Manipulation Tasks Applicable to Different Types of Humanoid Robots


Framework for testing models with AI2 leaderboards

Do Fine-tuned Commonsense Language Models Really Generalize?

Understanding Prior Bias and Choice Paralysis in Transformer-based
  Language Representation Models through Four Experimental Probes


Subset of BLAS routines optimized for NVIDIA GPUs

KBLAS: An Optimized Library for Dense Matrix-Vector Multiplication on GPU Accelerators

Optimizing Memory-Bound Numerical Kernels on GPU Hardware Accelerators

Redesigning Triangular Dense Matrix Computations on GPUs

H2Opus: a distributed-memory multi-GPU software package for non-local operators


All-in-one text de-duplication

Optimal Densification for Fast and Accurate Minwise Hashing

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

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


Protein-compound affinity prediction through unified RNN-CNN

DeepAffinity: Interpretable Deep Learning of Compound-Protein Affinity through Unified Recurrent and Convolutional Neural Networks

ATOM3D: Tasks On Molecules in Three Dimensions

A brief review of protein–ligand interaction prediction

Computational and structural biotechnology journal

Pretraining model for biological sequence data

Trends and Potential of Machine Learning and Deep Learning in Drug Study at Single-Cell Level

Balancing Data on Proteochemometrics Activity Classification

Journal of chemical information and modeling


List of papers, code and experiments using deep learning for time series forecasting

Statistical and Machine Learning forecasting methods: Concerns and ways forward

Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting

DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting

PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)

Forecasting Big Time Series: Theory and Practice

WWW'20: COMPANION PROCEEDINGS OF THE WEB CONFERENCE 2020

Attention based Multi-Modal New Product Sales Time-series Forecasting

Forecasting the Evolution of Hydropower Generation

Forecasting Multivariate Time-Series Data Using LSTM and Mini-Batches

Lecture notes on data engineering and communications technologies

Resilient Neural Forecasting Systems

Deep State-Space Generative Model For Correlated Time-to-Event Predictions

Augmented Out-of-Sample Comparison Method for Time Series Forecasting Techniques


P4 Applications WG repo

PINT: Probabilistic In-band Network Telemetry

Efficient Measurement on Programmable Switches Using Probabilistic Recirculation

International Conference on Network Protocols

Zero-CPU Collection with Direct Telemetry Access

Application Layer Packet Processing Using PISA Switches

Tracking the QUIC spin bit on Tofino

Proceedings of the 2021 Workshop on Evolution, Performance and Interoperability of QUIC

Direct Telemetry Access

DUNE: Improving Accuracy for Sketch-INT Network Measurement Systems


a library for named entity recognition developed by UF HOBI NLP lab featuring SOTA algorithms

Clinical concept extraction using transformers

Journal of the American Medical Informatics Association : JAMIA

Pre-trained Language Models in Biomedical Domain: A Systematic Survey

Contextualized Medication Information Extraction Using Transformer-based
  Deep Learning Architectures


Repository for EcoSimR, by Gotelli, N.J. , Hart E. M. and A.M. Ellison. 2014. EcoSimR 0.1.0

Jaccard/Tanimoto similarity test and estimation methods for biological presence-absence data

Archaea in boreal Swedish lakes are diverse, dominated by Woesearchaeota and follow deterministic community assembly.

Spatial and Dietary Overlap Creates Potential for Competition between Red Snapper (Lutjanus campechanus) and Vermilion snapper (Rhomboplites aurorubens)

Niche overlap and species co-occurrence patterns in carabid communities of the northern Chinese steppes

The effects of pastoral intensification on the feeding interactions of generalist predators in streams

Consumption Patterns of a Generalist Omnivore: Eastern Box Turtle Diets in the Long Island Pine Barrens

Deep-Sea Nematodes of the Mozambique Channel: Evidence of Random Community Assembly Dynamics in Seep Sediments

Symptomatic and Asymptomatic Protist Infections in Hospital Inpatients in Southwestern China

Feeding habits of the fishes Euthynnus lineatus and Scomberomorus sierra (Perciformes: Scombridae) in the Eastern Tropical Pacific

Main Factors Influencing the Gut Microbiota of Datong Yaks in Mixed Group

Animals : an open access journal from MDPI


Official Edison Lab toolboxes and scripts for analyzing metabolomics data.

Global Metabolomics of the Placenta Reveals Distinct Metabolic Profiles between Maternal and Fetal Placental Tissues Following Delivery in Non-Labored Women

Integrated Metabolomics and Transcriptomics Suggest the Global Metabolic Response to 2-Aminoacrylate Stress in Salmonella enterica

RTExtract: time-series NMR spectra quantification based on 3D surface ridge tracking

Proton Nuclear Magnetic Resonance Metabolomics Corroborates Serine Hydroxymethyltransferase as the Primary Target of 2-Aminoacrylate in a ridA Mutant of Salmonella enterica

Uncovering in vivo biochemical patterns from time-series metabolic dynamics


Pythonic photometric redshift tools based on EAZY

COSMOS2020: A Panchromatic View of the Universe to z ∼ 10 from Two Complementary Catalogs

The Astrophysical journal. Supplement series/Astrophysical journal. Supplement series

First Batch of z ≈ 11–20 Candidate Objects Revealed by the James Webb Space Telescope Early Release Observations on SMACS 0723-73

CLEAR. II. Evidence for Early Formation of the Most Compact Quiescent Galaxies at High Redshift

CLEAR: The Gas-phase Metallicity Gradients of Star-forming Galaxies at 0.6 < z < 2.6

ALMA Lensing Cluster Survey: Bright [CII] 158 μm Lines from a
  Multiply Imaged Sub-L^⋆ Galaxy at z=6.0719

On the (Lack of) Evolution of the Stellar Mass Function of Massive Galaxies from z=1.5 to 0.4

An Atlas of Color-selected Quiescent Galaxies at z > 3 in Public JWST Fields

The prevalence of galaxy overdensities around UV-luminous Lyman �� emitters in the Epoch of Reionization

CLEAR: The Ionization and Chemical-Enrichment Properties of Galaxies at
  1.1 < z < 2.3

JWST's PEARLS: Bright 1.5–2.0 μm Dropouts in the Spitzer/IRAC Dark Field


Providing reproducibility in deep learning frameworks

Going to Extremes: Weakly Supervised Medical Image Segmentation

Biologically Inspired Mechanisms for Adversarial Robustness

Modular Multimodal Architecture for Document Classification

Stateful Detection of Model Extraction Attacks

Channelized Axial Attention – considering Channel Relation within Spatial Attention for Semantic Segmentation

Hierarchical Roofline Performance Analysis for Deep Learning Applications

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

OSOA: One-Shot Online Adaptation of Deep Generative Models for Lossless Compression

Lossless Compression of Sensor Signals Using an Untrained Multi-Channel Recurrent Neural Predictor

Engineering the Neural Automatic Passenger Counter

Engineering applications of artificial intelligence


OmniXAI: A Library for eXplainable AI

OmniXAI: A Library for Explainable AI

MACE: An Efficient Model-Agnostic Framework for Counterfactual
  Explanation


PyTorch implementation of Contrastive Learning methods

Momentum Contrast for Unsupervised Visual Representation Learning

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination

Improved Baselines with Momentum Contrastive Learning

Contrastive Multiview Coding

Self-Supervised Learning of Pretext-Invariant Representations

What Makes for Good Views for Contrastive Learning

Instance Localization for Self-supervised Detection Pretraining

Improving Contrastive Learning by Visualizing Feature Transformation

Unleashing the Power of Contrastive Self-Supervised Visual Models via Contrast-Regularized Fine-Tuning

Versatile Multi-Modal Pre-Training for Human-Centric Perception


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


R-package for structural equation modeling based on GWAS summary data

Genomic SEM Provides Insights into the Multivariate Genetic Architecture of Complex Traits

Social and non-social autism symptoms and trait domains are genetically dissociable

Shared brain and genetic architectures between mental health and physical activity

Thirteen Independent Genetic Loci Associated with Preserved Processing Speed in a Study of Cognitive Resilience in 330,097 Individuals in the UK Biobank

Shared genetic influences on resting-state functional networks of the brain

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

medRxiv : the preprint server for health sciences

A Common Genetic Factor Underlies Genetic Risk for Gynaecological and Reproductive Disorders and Is Correlated with Risk to Depression

Polygenic risk scores: effect estimation and model optimization

Genetic Decomposition of the Heritable Component of Reported Childhood Maltreatment

Biological psychiatry global open science


Tool for transpiling C to Go.

Code Translation with Compiler Representations

Lost in Translation: A Study of Bugs Introduced by Large Language Models
  while Translating Code


Appraise code used as part of WMT21 human evaluation campaign

Findings of the 2020 Conference on Machine Translation (WMT20)

Empirical Methods in Natural Language Processing

Findings of the IWSLT 2022 Evaluation Campaign

PROCEEDINGS OF THE 19TH INTERNATIONAL CONFERENCE ON SPOKEN LANGUAGE TRANSLATION (IWSLT 2022)

Findings of the Second WMT Shared Task on Sign Language Translation (WMT-SLT23)

Proceedings of the Eighth Conference on Machine Translation

A Benchmark for Evaluating Machine Translation Metrics on Dialects
  Without Standard Orthography


Exoplanet detection in RVs with DNest4 and GPs

Decoding the radial velocity variations of HD 41248 with ESPRESSO

Improving circumbinary planet detections by fitting their binary's
  apsidal precession

The SOPHIE search for northern extrasolar planets - XVIII. Six new cold Jupiters, including one of the most eccentric exoplanet orbits

Scheduling strategies for the ESPRESSO follow-up of TESS targets

Monthly Notices of the Royal Astronomical Society

Scheduling ESPRESSO follow-up of TESS Targets. I. Myopic versus non-myopic sampling


A integration approach of the LabStreamingLayer Framework for Unity3D

EEG alpha and theta signatures of socially and non-socially cued working memory in virtual reality

Social cognitive and affective neuroscience

A dataset of EEG recordings from 47 participants collected during a virtual reality working memory task where attention was cued by a social avatar and non-social stick cue

Effects of virtual reality-based feedback on neurofeedback training performance—A sham-controlled study


Fit and compare complex models reliably and rapidly. Advanced nested sampling.

The eROSITA Final Equatorial-Depth Survey (eFEDS)

AT 2019avd: a novel addition to the diverse population of nuclear transients

Exploring the likelihood of the 21-cm power spectrum with simulation-based inference

The relation between accretion rate and jet power in early-type galaxies with thermally unstable hot atmospheres

Learning the composition of ultrahigh energy cosmic rays


Genetic Programming in Python, with a scikit-learn inspired API

Taylor Genetic Programming for Symbolic Regression

STREAMLINE: A Simple, Transparent, End-To-End Automated Machine Learning Pipeline Facilitating Data Analysis and Algorithm Comparison

Analysing Symbolic Regression Benchmarks under a Meta-Learning Approach

Proceedings of the Genetic and Evolutionary Computation Conference Companion

EC-KitY: Evolutionary computation tool kit in Python with seamless machine learning integration

A framework based on symbolic regression coupled with eXtended Physics-Informed Neural Networks for gray-box learning of equations of motion from data

Generating Synergistic Formulaic Alpha Collections via Reinforcement Learning

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Comparing data driven and physics inspired models for hopping transport in organic field effect transistors

Probabilistic Lexicase Selection

Accelerating Genetic Programming using GPUs

AI-Aristotle: A Physics-Informed framework for Systems Biology Gray-Box
  Identification


RISC-V Formal Verification Framework

Snitch: A Tiny Pseudo Dual-Issue Processor for Area and Energy Efficient Execution of Floating-Point Intensive Workloads

An Instruction Set Extension to Support Software-Based Masking

IACR transactions on cryptographic hardware and embedded systems

Advanced virtual prototyping for cyber-physical systems using RISC-V: implementation, verification and challenges

Synthesizing Hardware-Software Leakage Contracts for RISC-V Open-Source
  Processors


*UNMAINTAINED* Decompiler and Security Analysis tool for Blockchain-based Ethereum Smart-Contracts

Empirical Review of Automated Analysis Tools on 47,587 Ethereum Smart Contracts

International Conference on Software Engineering

Precise Attack Synthesis for Smart Contracts

EtherSolve: Computing an Accurate Control-Flow Graph from Ethereum Bytecode

SIF: A Framework for Solidity Code Instrumentation and Analysis


Recopilación de datos de COVID19 por provincias en España

COnVIDa: COVID-19 multidisciplinary data collection and dashboard

Impact of urban structure on COVID-19 spread

Disparities in the Evolution of the COVID-19 Pandemic between Spanish Provinces

International journal of environmental research and public health

Clustering spatio-temporal series of confirmed COVID-19 deaths in Europe

Mass gathering events and the spread of infectious diseases: Evidence from the early growth phase of COVID-19

On the association between COVID-19 vaccination levels and incidence and
  lethality rates at a regional scale in Spain

Vaccination compartmental epidemiological models for the delta and omicron SARS-CoV-2 variants


GraphCast: Learning skillful medium-range global weather forecasting

WeatherBench 2: A benchmark for the next generation of data-driven
  global weather models

Neural General Circulation Models for Weather and Climate


A pytorch implementation for paper 'Exploring Simple Siamese Representation Learning'

Matrix Information Theory for Self-Supervised Learning

Towards Efficient and Effective Self-Supervised Learning of Visual
  Representations

The Unreasonable Effectiveness of Fully-Connected Layers for Low-Data
  Regimes


Ribosomal DNA copy number amplification and loss in human cancers is linked to tumor genetic context, nucleolus activity, and proliferation

Transcriptome driven characterization of curly- and smooth-leafed endives reveals molecular differences in the sesquiterpenoid pathway

Sequence- and structure-specific cytosine-5 mRNA methylation by NSUN6

elPrep: High-Performance Preparation of Sequence Alignment/Map Files for Variant Calling

Hypomethylation in HBV integration regions aids non-invasive surveillance to hepatocellular carcinoma by low-pass genome-wide bisulfite sequencing

Evolutionary History, Genomic Adaptation to Toxic Diet, and Extinction of the Carolina Parakeet

The RNA-binding profile of the splicing factor SRSF6 in immortalized human pancreatic β-cells

Effects of germline and somatic events in candidate BRCA-like genes on breast-tumor signatures

A Noninvasive Multianalytical Approach for Lung Cancer Diagnosis of Patients with Pulmonary Nodules

Makorin 1 controls embryonic patterning by alleviating Bruno1-mediated repression of oskar translation


Pytorch library for fast transformer implementations

Rethinking Attention with Performers

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention

RWKV: Reinventing RNNs for the Transformer Era

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

Fast Transformers with Clustered Attention

Large-scale chemical language representations capture molecular structure and properties

An Attention Free Transformer

ATISS: Autoregressive Transformers for Indoor Scene Synthesis

SpikeGPT: Generative Pre-trained Language Model with Spiking Neural
  Networks

Structure-Enhanced Pop Music Generation via Harmony-Aware Learning


Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

Unsupervised Cross-lingual Representation Learning at Scale

AdapterFusion: Non-Destructive Task Composition for Transfer Learning

Trankit: A Light-Weight Transformer-based Toolkit for Multilingual Natural Language Processing

MultiTACRED: A Multilingual Version of the TAC Relation Extraction Dataset

Towards L2-friendly pipelines for learner corpora: A case of written production by L2-Korean learners

Workshop on Innovative Use of NLP for Building Educational Applications


Code for "Texture Networks: Feed-forward Synthesis of Textures and Stylized Images" paper.

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

Instance Normalization: The Missing Ingredient for Fast Stylization

Texture Synthesis Using Convolutional Neural Networks

Improved Texture Networks: Maximizing Quality and Diversity in Feed-forward Stylization and Texture Synthesis


Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Graph Attention Networks

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

Supervised Community Detection with Line Graph Neural Networks

Two Sides of the Same Coin: Heterophily and Oversmoothing in Graph Convolutional Neural Networks

Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration

Learning on Attribute-Missing Graphs

IEEE transactions on pattern analysis and machine intelligence

K-Core Based Temporal Graph Convolutional Network for Dynamic Graphs

IEEE transactions on knowledge and data engineering

You Shall Know a User by the Company It Keeps: Dynamic Representations for Social Media Users in NLP

AC-VRNN: Attentive Conditional-VRNN for multi-future trajectory prediction

Developing a Graph Convolution-Based Analysis Pipeline for Multi-Modal Neuroimage Data: An Application to Parkinson's Disease

Proceedings of the Python in Science Conferences


Count bases in BAM/CRAM files

Canine SARS-CoV-2 infection

Circulating tumour cells from patients with colorectal cancer have cancer stem cell hallmarks in ex vivo culture

Spatial intratumoral heterogeneity and temporal clonal evolution in esophageal squamous cell carcinoma

Genomic and Transcriptomic Determinants of Therapy Resistance and Immune Landscape Evolution during Anti-EGFR Treatment in Colorectal Cancer

Direct RNA sequencing reveals m6A modifications on adenovirus RNA are necessary for efficient splicing

Multi-region sequencing unveils novel actionable targets and spatial heterogeneity in esophageal squamous cell carcinoma

NmeCas9 is an intrinsically high-fidelity genome-editing platform

Multiplex PCR and Next Generation Sequencing for the Non-Invasive Detection of Bladder Cancer

The evolution of lung cancer and impact of subclonal selection in TRACERx

Co-infection with SARS-CoV-2 Omicron and Delta variants revealed by genomic surveillance


METIS - Serial Graph Partitioning and Fill-reducing Matrix Ordering

Non-self adjoint impedance in Generalized Optimized Schwarz Methods

Otter-Knowledge: benchmarks of multimodal knowledge graph representation
  learning from different sources for drug discovery

Multi-Level GNN Preconditioner for Solving Large Scale Problems


The Replica Dataset v1 as published in https://arxiv.org/abs/1906.05797 .

The Replica Dataset: A Digital Replica of Indoor Spaces

Habitat-Matterport 3D Dataset (HM3D): 1000 Large-scale 3D Environments
  for Embodied AI

Semantic Curiosity for Active Visual Learning

A Survey on Human-aware Robot Navigation

Vision-language navigation: a survey and taxonomy

How NeRFs and 3D Gaussian Splatting are Reshaping SLAM: a Survey

3D reconstruction using Structure for Motion


A symbolic testing tool for EVM smart contracts

GPTScan: Detecting Logic Vulnerabilities in Smart Contracts by Combining
  GPT with Program Analysis


Arduino library for communicating with XBee radios in API mode

Wireless Sensor Network Synchronization for Precision Agriculture Applications

A Comparative Study of LoRa and IEEE 802.15.4-Based IoT Deployments Inside School Buildings

A DIY Low-Cost Wireless Wind Data Acquisition System Used to Study an Arid Coastal Foredune

School buildings

Experiences from Using LoRa and IEEE 802.15.4 for IoT-Enabled Classrooms


Forum for discussing Internet censorship circumvention

Measuring and Evading Turkmenistan’s Internet Censorship


streamMetabolizer uses inverse modeling to estimate aquatic metabolism (photosynthesis and respiration) from time series data on dissolved oxygen, water temperature, depth, and light.

Scoured or suffocated: Urban stream ecosystems oscillate between hydrologic and dissolved oxygen extremes

Limnology and oceanography/The l & o on cd-rom

The metabolic regimes of 356 rivers in the United States

Metabolic rhythms in flowing waters: An approach for classifying river productivity regimes

Enhancement of primary production during drought in a temperate watershed is greater in larger rivers than headwater streams

Resistance and resilience of stream metabolism to high flow disturbances

Linking denitrification with ecosystem respiration in mountain streams

High Daily and Year-Round Variability in Denitrification and Nitrogen Fixation in a Northern Temperate River


State-of-the-Art Conversational AI with Transfer Learning

Transformers: State-of-the-Art Natural Language Processing

TransferTransfo: A Transfer Learning Approach for Neural Network Based Conversational Agents

Large Language Models Can Be Strong Differentially Private Learners

You Impress Me: Dialogue Generation via Mutual Persona Perception

CAiRE: An End-to-End Empathetic Chatbot

A Large-Scale Chinese Short-Text Conversation Dataset

Neural Generation Meets Real People: Towards Emotionally Engaging Mixed-Initiative Conversations

Controlling Dialogue Generation with Semantic Exemplars

DP-RAFT: A Differentially Private Recipe for Accelerated Fine-Tuning

CheerBots: Chatbots toward Empathy and Emotionusing Reinforcement Learning.


Keras implementation of a CNN network for age and gender estimation

Efficient facial representations for age, gender and identity recognition in organizing photo albums using multi-output ConvNet

Bias, awareness, and ignorance in deep-learning-based face recognition

Improving Borderline Adulthood Facial Age Estimation through Ensemble Learning

Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations

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


A project written in Python to get old tweets, it bypass some limitations of Twitter Official API.

Attack of the Tails: Yes, You Really Can Backdoor Federated Learning

Analyzing the hate and counter speech accounts on Twitter.

Evaluating the Impact of COVID-19 on Cyberbullying through Bayesian Trend Analysis

PreBit -- A multimodal model with Twitter FinBERT embeddings for extreme
  price movement prediction of Bitcoin

Public perception of COVID-19’s global health crisis on Twitter until 14 weeks after the outbreak

Ranking of Importance Measures of Tweet Communities: Application to Keyword Extraction From COVID-19 Tweets in Japan

IEEE transactions on computational social systems

Coastal Tourism Spatial Planning at the Regional Unit: Identifying Coastal Tourism Hotspots Based on Social Media Data

ISPRS international journal of geo-information

A Neural Approach to Irony Generation

Get out of Church! The Case of #EmptyThePews: Twitter Hashtag between Resistance and Community

Semantic-based End-to-End Learning for Typhoon Intensity Prediction


The Rolling Hough Transform

Inference of the chromospheric magnetic field orientation in the Ca II 8542 Å line fibrils

Magnetically aligned straight depolarization canals and the rolling Hough transform

Turbulence and Energetic Particles in Radiative Shock Waves in the Cygnus Loop. II. Development of Postshock Turbulence

Multi-tracer analysis of straight depolarisation canals in the surroundings of the 3C 196 field

A Comparison of Multiphase Magnetic Field Tracers in a High Galactic Latitude Region of the Filamentary Interstellar Medium

HI filaments as potential compass needles? Comparing the magnetic field
  structure of the Small Magellanic Cloud to the orientation of GASKAP-HI
  filaments

MaLeFiSenta: Machine Learning for FilamentS Identification and Orientation in the ISM


This is the repository of the NEMESIS/RADTRANS project. It is described on the associated web page listed here.

Hazy Blue Worlds: A Holistic Aerosol Model for Uranus and Neptune, Including Dark Spots

Journal of geophysical research. Planets

Spectral determination of the colour and vertical structure of dark spots in Neptune’s atmosphere

Saturn's Atmosphere in Northern Summer Revealed by JWST/MIRI

Latitudinal Variations in Methane Abundance, Aerosol Opacity and Aerosol Scattering Efficiency in Neptune's Atmosphere Determined From VLT/MUSE


DNA methylation studies of mammalian species

A mammalian methylation array for profiling methylation levels at conserved sequences

DNA methylation clocks tick in naked mole rats but queens age more slowly than nonbreeders

Multi-species and multi-tissue methylation clocks for age estimation in toothed whales and dolphins

DNA methylation aging and transcriptomic studies in horses

DNA Methylation Networks Underlying Mammalian Traits

Epigenetic predictors of maximum lifespan and other life history traits in mammals

Multi-Tissue Methylation Clocks for Age and Sex Estimation in the Common Bottlenose Dolphin

Divergent age-related methylation patterns in long and short-lived mammals

Genetic Analyses of Epigenetic Predictors that Estimate Aging, Metabolic Traits, and Lifespan

Epigenetic clock and methylation studies in dogs


The coronavirus dataset

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

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

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

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

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

An Actuarial Approach for Modeling Pandemic Risk

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

Predicting the COVID-19 Prevalence Rate Using Data Mining

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


VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.

VMAS: A Vectorized Multi-Agent Simulator for Collective Robot Learning

Heterogeneous Multi-Robot Reinforcement Learning

System Neural Diversity: Measuring Behavioral Heterogeneity in
  Multi-Agent Learning


An ensemble approach to accurately detect somatic mutations using SomaticSeq

Toward best practice in cancer mutation detection with whole-genome and whole-exome sequencing

Establishing community reference samples, data and call sets for benchmarking cancer mutation detection using whole-genome sequencing

Robust Cancer Mutation Detection with Deep Learning Models Derived from Tumor-Normal Sequencing Data


SKAB - Skoltech Anomaly Benchmark. Time-series data for evaluating Anomaly Detection algorithms.

Online Forecasting and Anomaly Detection Based on the ARIMA Model

Unsupervised Offline Changepoint Detection Ensembles

Multi-Channel LSTM-Capsule Autoencoder Network for Anomaly Detection on Multivariate Data

Outlier Detection using AI: A Survey


Matlab toolbox for classification and regression of multi-dimensional data

Characterizing the dynamics of mental representations: the temporal generalization method

MVPA-Light: A Classification and Regression Toolbox for Multi-Dimensional Data

The LDA beamformer: Optimal estimation of ERP source time series using linear discriminant analysis

Human stereoEEG recordings reveal network dynamics of decision-making in a rule-switching task

Auditory cortical alpha/beta desynchronization prioritizes the representation of memory items during a retention period

Targeted memory reactivation in human REM sleep elicits detectable reactivation

Temporal prediction elicits rhythmic preactivation of relevant sensory cortices

Protocol to decode representations from EEG data with intermixed signals using temporal signal decomposition and multivariate pattern-analysis

Auditory cortical alpha desynchronization prioritizes the representation of memory items during a retention period

Cross-validation in high-dimensional spaces: a lifeline for least-squares models and multi-class LDA


Julia package for ecosystem simulation

Dynamic virtual ecosystems as a tool for detecting large-scale responses of biodiversity to environmental and land-use change


Python implementation of the Short Term Objective Intelligibility measure

Deep Filtering: Signal Extraction and Reconstruction Using Complex Time-Frequency Filters

On the Compensation Between Magnitude and Phase in Speech Separation

TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech
  Separation

Speech Denoising Without Clean Training Data: A Noise2Noise Approach

SVTS: Scalable Video-to-Speech Synthesis

Real-time Monaural Speech Enhancement With Short-time Discrete Cosine Transform.

Phase Retrieval With Bregman Divergences and Application to Audio Signal Recovery

IEEE journal of selected topics in signal processing

Unsupervised Uncertainty Measures of Automatic Speech Recognition for Non-intrusive Speech Intelligibility Prediction

Improving speaker de-identification with functional data analysis of f0 trajectories

Revisiting Speech Content Privacy


Running NGS computing demanding applications, e.g reads mapping and counting, wrapped in docker containers.

Reproducible bioinformatics project: a community for reproducible bioinformatics analysis pipelines

rCASC: reproducible Classification Analysis of Single Cell sequencing data

Disease-Associated Circular RNAs: From Biology to Computational Identification

Docker4Circ: A Framework for the Reproducible Characterization of circRNAs from RNA-Seq Data

International journal of molecular sciences


docTTTTTquery document expansion model

Document Expansion by Query Prediction

Sparse, Dense, and Attentional Representations for Text Retrieval

Multi-Stage Document Ranking with BERT

Learning Passage Impacts for Inverted Indexes

A Neural Corpus Indexer for Document Retrieval

Query Reformulation using Query History for Passage Retrieval in Conversational Search

Faster Learned Sparse Retrieval with Guided Traversal

Can questions summarize a corpus? Using question generation for characterizing COVID-19 research

GLEN: Generative Retrieval via Lexical Index Learning


A word alignment tool based on famous GIZA++, extended to support multi-threading, resume training and incremental training.

Jointly Learning to Align and Translate with Transformer Models

Simple and Effective Text Simplification Using Semantic and Neural Methods

Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task

Proceedings of the Third Conference on Machine Translation: Shared Task Papers

Alignment-Enhanced Transformer for Constraining NMT with Pre-Specified Translations

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Flexible retrieval with NMSLIB and FlexNeuART

Rethinking Data Augmentation for Low-Resource Neural Machine Translation: A Multi-Task Learning Approach

Chunk-based Decoder for Neural Machine Translation

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1

Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency Benefits

Discovery of Discourse-Related Language Contrasts through Alignment Discrepancies in English-German Translation

Empirical Methods in Natural Language Processing

Faster decoding for subword level Phrase-based SMT between related languages


DISTIL: Deep dIverSified inTeractIve Learning. An active/inter-active learning library built on py-torch for reducing labeling costs.

Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

SIMILAR: Submodular Information Measures Based Active Learning In Realistic Scenarios

A Comparative Survey of Deep Active Learning

Effective Evaluation of Deep Active Learning on Image Classification
  Tasks

One-Round Active Learning

Zero-Round Active Learning

Pareto Optimization for Active Learning under Out-of-Distribution Data
  Scenarios


The main distribution of NuWro

Electroweak single-pion production off the nucleon: From threshold to high invariant masses

Pion production within the hybrid relativistic plane wave impulse approximation model at MiniBooNE and MINERvA kinematics

Neutrino energy reconstruction from semi-inclusive samples

Second class currents, axial mass, and nuclear effects in hyperon production

Data-based two-body current contribution to the neutrino-nucleus cross section

Monte Carlo event generation of neutrino-electron scattering

Journal of physics. G, Nuclear and particle physics

Modeling neutrino-nucleus interaction at intermediate energies

Proceedings of The 19th International Workshop on Neutrinos from Accelerators NUFACT2017 — PoS(NuFact2017)

Comparing generator predictions of transverse kinematic imbalance in neutrino-argon scattering


Python module for Simulated Annealing optimization

The Role of Permutation Invariance in Linear Mode Connectivity of Neural Networks

Characterizing and Evaluating Adversarial Examples for Offline Handwritten Signature Verification

IEEE transactions on information forensics and security

Mixed-Variable Bayesian Optimization

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

Placement in Integrated Circuits using Cyclic Reinforcement Learning and
  Simulated Annealing

Hdconfigor: Automatically Tuning High Dimensional Configuration Parameters for Log Search Engines

Constraining Genome-Scale Models to Represent the Bow Tie Structure of Metabolism for 13C Metabolic Flux Analysis

CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection

Simulated Annealing-Based Hyperspectral Data Optimization for Fish Species Classification: Can the Number of Measured Wavelengths Be Reduced?

Simulated Annealing with Levy Distribution for Fast Matrix Factorization-Based Collaborative Filtering


R package for downloading weather data from Environment and Climate Change Canada

weathercan: Download and format weather data from Environment and Climate Change Canada

Does tall vegetation warm or cool the ground surface? Constraining the ground thermal impacts of upright vegetation in northern environments


Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.

From Louvain to Leiden: guaranteeing well-connected communities

CDLIB: a python library to extract, compare and evaluate communities from complex networks

Descriptive vs. inferential community detection in networks: pitfalls,
  myths, and half-truths

Schema: metric learning enables interpretable synthesis of heterogeneous single-cell modalities

Analysis and Visualization of Spatial Transcriptomic Data

Detecting behavioural changes in human movement to inform the spatial scale of interventions against COVID-19

Information Consumption and Boundary Spanning in Decentralized Online
  Social Networks: the case of Mastodon Users

Besca, a single-cell transcriptomics analysis toolkit to accelerate translational research

Northstar enables automatic classification of known and novel cell types from tumor samples

Hypercluster: a flexible tool for parallelized unsupervised clustering optimization


A suite of convenience functions for working with hydrology data in an interactive Python session.

Automated Water Level Monitoring at the Continental Scale from ICESat-2 Photons


Rigorous Global Branch-and-Bound Optimizer

Sound Mixed-Precision Optimization with Rewriting

On Sound Relative Error Bounds for Floating-Point Arithmetic


Statistical comparison of two networks with respect to three invariance measures

Estimating Psychological Networks and their Accuracy: A Tutorial Paper

The application of a network approach to Health-Related Quality of Life (HRQoL): introducing a new method for assessing HRQoL in healthy adults and cancer patients

Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation

How does the COVID-19 pandemic impact on population mental health? A network analysis of COVID influences on depression, anxiety and traumatic stress in the UK population

The Network Structure of Personality Pathology in Adolescence With the 100-Item Personality Inventory for DSM-5 Short-Form (PID-5-SF)

Anti-roma Bias (Stereotypes, Prejudice, Behavioral Tendencies): A Network Approach Toward Attitude Strength

Outcome measurement in mental health services: insights from symptom networks


A Quasi-DYNamic earthquake simulator

The Impact of Large Erosional Events and Transient Normal Stress Changes on the Seismicity of Faults

Scaling of Repeating Earthquakes at the Transition From Aseismic to Seismic Slip


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


A proxy app for the Monte Carlo Transport Code, Mercury.  LLNL-CODE-684037

GPA: A GPU Performance Advisor Based on Instruction Sampling

Measurement and Analysis of GPU-accelerated Applications with HPCToolkit

Evaluation of Single-Node Performance of Parallel Algorithms for Multigroup Monte Carlo Particle Transport Methods

Power Constrained Autotuning using Graph Neural Networks


Decision Analytic Modeling (DAM) package is a suite of functions for analyzing and visualizing the health economic outputs of mathematical models

hesim: Health Economic Simulation Modeling and Decision Analysis

An Introductory Tutorial on Cohort State-Transition Models in R Using a Cost-Effectiveness Analysis Example

A Tutorial on Time-Dependent Cohort State-Transition Models in R using a Cost-Effectiveness Analysis Example


NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

Transfer Learning for Sequence Tagging with Hierarchical Recurrent Networks

Optimal Hyperparameters for Deep LSTM-Networks for Sequence Labeling Tasks

NCRF++: An Open-source Neural Sequence Labeling Toolkit

Design Challenges and Misconceptions in Neural Sequence Labeling

We Need to Talk About Random Splits

Fast and Accurate Neural CRF Constituency Parsing

Constituent Parsing as Sequence Labeling

A Pragmatic Guide to Geoparsing Evaluation

Adaptive Self-training for Neural Sequence Labeling with Few Labels

NUBES: A Corpus of Negation and Uncertainty in Spanish Clinical Texts


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) v1.0: an open- source, extendable framework providing implementations of 46 conceptual hydrologic models as continuous space-state formulations

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


Iterative Linear-Quadratic Games!

Efficient Iterative Linear-Quadratic Approximations for Nonlinear Multi-Player General-Sum Differential Games

iLQGames.jl: Rapidly Designing and Solving Differential Games in Julia.

Open-Loop and Feedback Nash Trajectories for Competitive Racing with
  iLQGames


Fast computation of the smallest enclosing ball of a point set, in low or moderately high dimensions.

Differentially Private Analysis of Outliers

A numerical approach for the filtered generalized Cech complex

On Non-Negative Quadratic Programming in Geometric Optimization


In silico chemical library engine for high-accuracy chemical property prediction

An automated framework for NMR chemical shift calculations of small organic molecules

ISiCLE: A molecular collision cross section calculation pipeline for establishing large in silico reference libraries for compound identification.


Data-Driven Sentence Simplification: Survey and Benchmark

International Conference on Computational Logic

ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations

EASSE: Easier Automatic Sentence Simplification Evaluation

The (Un)Suitability of Automatic Evaluation Metrics for Text Simplification

Text Simplification by Tagging

Multilingual Unsupervised Sentence Simplification

Controllable Sentence Simplification with a Unified Text-to-Text Transfer Transformer

Proceedings of the 14th International Conference on Natural Language Generation

EditEval: An Instruction-Based Benchmark for Text Improvements

An Unsupervised Method for Building Sentence Simplification Corpora in Multiple Languages

Sentence Simplification via Large Language Models


A complete environment for Bayesian inference within R

Star-forming, rotating spheroidal galaxies in the GAMA and SAMI surveys

Monthly Notices of the Royal Astronomical Society

Deep extragalactic visible legacy survey (DEVILS): the emergence of bulges and decline of disc growth since z = 1


An R package implementing the UMAP dimensionality reduction method.

UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Visualizing Large-scale and High-dimensional Data

Simultaneous trimodal single-cell measurement of transcripts, epitopes, and chromatin accessibility using TEA-seq

Structural and Functional Characterization of G Protein-Coupled Receptors with Deep Mutational Scanning

Inferring and perturbing cell fate regulomes in human brain organoids

DeepACP: A Novel Computational Approach for Accurate Identification of Anticancer Peptides by Deep Learning Algorithm

DeepT3_4: A Hybrid Deep Neural Network Model for the Distinction Between Bacterial Type III and IV Secreted Effectors

Age-associated changes in lineage composition of the enteric nervous system regulate gut health and disease

A transcriptome atlas of the mouse iris at single-cell resolution defines cell types and the genomic response to pupil dilation

Clustering with UMAP: Why and How Connectivity Matters


Python interfaces for observational data surrounding named storm events, born from @jreniel's ADCIRCpy


Auto-WEKA

Auto-WEKA: Combined Selection and Hyperparameter Optimization of Classification Algorithms

Automated Machine Learning: Methods, Systems, Challenges

The Springer series on challenges in machine learning

Auto-WEKA: Automatic Model Selection and Hyperparameter Optimization in WEKA

Automatic Composition and Optimization of Multicomponent Predictive Systems With an Extended Auto-WEKA

IEEE transactions on automation science and engineering

Use of automated artificial intelligence to predict the need for orthodontic extractions

Inferential analysis of data.

The Influence of Speed and Position in Dynamic Gesture Recognition for Human-Robot Interaction

Product Quality Driven Auto-Prognostics: Low-Cost Digital Solution for SMEs


Dealing with class imbalance in classifier chains via random undersampling

Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification

Multi-Label Sampling based on Local Label Imbalance

Synthetic Oversampling of Multi-Label Data based on Local Label Distribution


VGG19 and VGG16 on Tensorflow

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

Localizing and Quantifying Damage in Social Media Images

DARVIZ: Deep Abstract Representation, Visualization, and Verification of Deep Learning Models

International Conference on Software Engineering

Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment

IMF: Interactive Multimodal Fusion Model for Link Prediction

Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction

Learning twofold heterogeneous multi-task by sharing similar convolution kernel pairs

Learning multi-tasks with inconsistent labels by using auxiliary big task


Astronomical Dust Extinction

Nebular-phase spectra of Type Ia supernovae from the Las Cumbres Observatory Global Supernova Project

The optical and NIR spectrum of the Crab pulsar with X-shooter

Carbon-Enhanced Metal-Poor star candidates from BP/RP Spectra in Gaia
  DR3

The Long and the Short of It: The Benefits and Leverage of
  Ultraviolet-Radio Galaxy Fitting

The Great Escape: Understanding the Connection Between Lyα
  Emission and LyC Escape in Simulated JWST Analogues

Sensitivity of JWST to eV-Scale Decaying Axion Dark Matter


Analysis of subclonal copy number alterations (CNA) and loss of heterozygosity (LOH) in cancer

Analysis pipelines for cancer genome sequencing in mice

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

Low-Coverage Whole Genome Sequencing of Cell-Free DNA From Immunosuppressed Cancer Patients Enables Tumor Fraction Determination and Reveals Relevant Copy Number Alterations

Frontiers in cell and developmental biology

Single-cell landscapes of primary glioblastomas and matched organoids and cell lines reveal variable retention of inter- and intra-tumor heterogeneity


TIMES-Ireland Model (TIM)

TIM: Modelling pathways to meet Ireland’s long-term energy system challenges with the TIMES-Ireland Model (v1.0)


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

Deep Reinforcement Learning for Multi-Agent Interaction

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

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

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

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


Single-Cell Genotyping Tool

Fully-automated and ultra-fast cell-type identification using specific marker combinations from single-cell transcriptomic data

A general approach for detecting expressed mutations in AML cells using single cell RNA-sequencing

Alleloscope: Integrative single cell analysis of allele-specific copy number alterations and chromatin accessibility in cancer

Whole-organism eQTL mapping at cellular resolution with single-cell sequencing

Clonal competition within complex evolutionary hierarchies shapes AML over time

Single-cell RNA sequencing reveals spatiotemporal heterogeneity and malignant progression in pancreatic neuroendocrine tumor

International journal of biological sciences

Single-cell transcriptional regulation and genetic evolution of neuroendocrine prostate cancer

The impact of neoadjuvant chemotherapy on the tumor microenvironment in advanced high-grade serous carcinoma

A single cell atlas of sexual development inPlasmodium falciparum

Single-cell eQTL mapping in yeast reveals a tradeoff between growth and reproduction

bioRxiv : the preprint server for biology


Repo for reproduction of sequential social dilemmas

Multi-agent Reinforcement Learning in Sequential Social Dilemmas

Social Influence as Intrinsic Motivation for Multi-Agent Deep Reinforcement Learning

Inequity aversion improves cooperation in intertemporal social dilemmas

The Importance of Credo in Multiagent Learning

IQ-Flow: Mechanism Design for Inducing Cooperative Behavior to
  Self-Interested Agents in Sequential Social Dilemmas

Learning to Learn Group Alignment: A Self-Tuning Credo Framework with
  Multiagent Teams


District heating system optimisation and simulation models

District-Heating-Grid Simulation in Python: DiGriPy


Open-source platform for model predictive control (MPC) in buildings.


The MLST pipeline developed by the PathOGiST research group

MentaLiST – A fast MLST caller for large MLST schemes

Whole-Genome Analysis of Staphylococcus aureus Isolates from Ready-to-Eat Food in Russia

International Clones of High Risk of Acinetobacter Baumannii—Definitions, History, Properties and Perspectives

Plasmid Composition, Antimicrobial Resistance and Virulence Genes Profiles of Ciprofloxacin- and Third-Generation Cephalosporin-Resistant Foodborne Salmonella enterica Isolates from Russia

Genomic Characterization of Clinical Acinetobacter baumannii Isolates Obtained from COVID-19 Patients in Russia


Prodigal Gene Prediction Software

Prevotella copri increases fat accumulation in pigs fed with formula diets

A review of computational tools for generating metagenome-assembled genomes from metagenomic sequencing data

VPF-Class: taxonomic assignment and host prediction of uncultivated viruses based on viral protein families

A methylotrophic origin of methanogenesis and early divergence of anaerobic multicarbon alkane metabolism

Machine learning for metagenomics: methods and tools

Alterations of Gut Microbiome and Metabolite Profiling in Mice Infected by Schistosoma japonicum

A Method for Improving the Accuracy and Efficiency of Bacteriophage Genome Annotation

International journal of molecular sciences

Characterization of phage resistance and phages capable of intestinal decolonization of carbapenem-resistant Klebsiella pneumoniae in mice

Lactic Acid Bacteria Diversity and Characterization of Probiotic Candidates in Fermented Meats

Maternally inherited piRNAs direct transient heterochromatin formation at active transposons during early Drosophila embryogenesis


Transpile trained scikit-learn estimators to C, Java, JavaScript and others.

Machine Learning for Microcontroller-Class Hardware: A Review

Real-Time Drink Trigger Detection in Free-living Conditions Using Inertial Sensors

Are Microcontrollers Ready for Deep Learning-Based Human Activity Recognition?

Classical and machine learning methods for event reconstruction in NeuLAND

Nuclear instruments and methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment/Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment

Learning Wi-Fi Connection Loss Predictions for Seamless Vertical Handovers Using Multipath TCP

PROCEEDINGS OF THE IEEE LCN: 2019 44TH ANNUAL IEEE CONFERENCE ON LOCAL COMPUTER NETWORKS (LCN 2019)

AI-driven Mobile Apps: an Explorative Study

Leveraging Models to Reduce Test Cases in Software Repositories

Lightweight On-Device Detection of Android Malware Based on the Koodous Platform and Machine Learning

An Open-Source Tool for Classification Models in Resource-Constrained Hardware

Dynamic Decision Tree Ensembles for Energy-Efficient Inference on IoT Edge Nodes


To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

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

LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models


Workflows for Fission: Fast, reliable and lightweight function composition for serverless functions

The Serverless Computing Survey: A Technical Primer for Design Architecture

In Search of a Fast and Efficient Serverless DAG Engine

The AtLarge Vision on the Design of Distributed Systems and Ecosystems

Efficiency in the serverless cloud paradigm: A survey on the reusing and approximation aspects

DataFlower: Exploiting the Data-flow Paradigm for Serverless Workflow Orchestration


A PyTorch implementation of the Transformer model in "Attention is All You Need".

Attention Is All You Need

A Structured Self-attentive Sentence Embedding

Hardware Accelerator for Multi-Head Attention and Position-Wise Feed-Forward in the Transformer

Robustness to Unbounded Smoothness of Generalized SignSGD

Baechi: fast device placement of machine learning graphs

Conditional Self-Attention for Query-based Summarization

Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers

Extending AdamW by Leveraging Its Second Moment and Magnitude

On Suppressing Range of Adaptive Stepsizes of Adam to Improve
  Generalisation Performance

Arch-Net: Model Distillation for Architecture Agnostic Model Deployment


Evaluation kit for the HEAR Benchmark

HEAR: Holistic Evaluation of Audio Representations

Masked Spectrogram Modeling using Masked Autoencoders for Learning
  General-purpose Audio Representation

BYOL-S: Learning Self-supervised Speech Representations by Bootstrapping

Self-supervised Audio Teacher-Student Transformer for Both Clip-level and Frame-level Tasks

Audio Barlow Twins: Self-Supervised Audio Representation Learning


A new codebase for popular Scene Graph Generation methods (2020). Visualization & Scene Graph Extraction on custom images/datasets are provided. It's also a PyTorch implementation of paper “Unbiased Scene Graph Generation from Biased Training CVPR 2020”

Learning to Compose Dynamic Tree Structures for Visual Contexts

Recovering the Unbiased Scene Graphs from the Biased Ones

Adaptive Fine-Grained Predicates Learning for Scene Graph Generation

roadscene2vec: A Tool for Extracting and Embedding Road Scene-Graphs

Iterative Scene Graph Generation

Semantic-Based Explainable AI: Leveraging Semantic Scene Graphs and Pairwise Ranking to Explain Robot Failures

Cross-Modal Graph with Meta Concepts for Video Captioning

Dual-branch Hybrid Learning Network for Unbiased Scene Graph Generation

Generalized Unbiased Scene Graph Generation


SOLO and SOLOv2 for instance segmentation, ECCV 2020 & NeurIPS 2020.

SOLOv2: Dynamic and Fast Instance Segmentation

SOLO: Segmenting Objects by Locations

An Instance Segmentation Based Framework for Large-Sized High-Resolution Remote Sensing Images Registration

Deep learning-based instance segmentation for the precise automated quantification of digital breast cancer immunohistochemistry images

Mask-aware IoU for Anchor Assignment in Real-time Instance Segmentation


A disease diagnosis and treatment recommendation system based on big data mining and cloud computing

Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks

Encoding Conversation Context for Neural Keyphrase Extraction from Microblog Posts

North American Chapter of the Association for Computational Linguistics

Building a comprehensive syntactic and semantic corpus of Chinese clinical texts

Prosody leaks into the memories of words

Neural Networks for Negation Cue Detection in Chinese

Proceedings of the Workshop Computational Semantics Beyond Events and Roles


A little tool to play with Windows security

Industrial and Critical Infrastructure Security: Technical Analysis of Real-Life Security Incidents

The Sorry State of TLS Security in Enterprise Interception Appliances

Leveraging operational technology and the Internet of things to attack smart buildings

SoK: A Survey of Open-Source Threat Emulators

The epidemiology of lateral movement: exposures and countermeasures with network contagion models

Decomposition and sequential-AND analysis of known cyber-attacks on critical infrastructure control systems

Evaluation of Local Security Event Management System vs. Standard Antivirus Software

Security Analysis and Bypass User Authentication Bound to Device of Windows Hello in the Wild

Investigating the Ecosystem of Offensive Information Security Tools

Detecting Forged Kerberos Tickets in an Active Directory Environment


The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Deep High-Resolution Representation Learning for Visual Recognition

High-Resolution Representations for Labeling Pixels and Regions

Distribution-Aware Coordinate Representation for Human Pose Estimation

The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation

Whole-Body Human Pose Estimation in the Wild

A Survey of Deep Learning for Scientific Discovery

When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks

Simple and Lightweight Human Pose Estimation

Secure human action recognition by encrypted neural network inference


Official implementation of AnimateDiff.

AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models
  without Specific Tuning

DreamVideo: Composing Your Dream Videos with Customized Subject and
  Motion

SparseCtrl: Adding Sparse Controls to Text-to-Video Diffusion Models

Matryoshka Diffusion Models


Scripts for reproducing analyses of large RNA-seq datasets

Human splicing diversity and the extent of unannotated splice junctions across human RNA-seq samples on the Sequence Read Archive

Rail-dbGaP: analyzing dbGaP-protected data in the cloud with Amazon Elastic MapReduce

recount: A large-scale resource of analysis-ready RNA-seq expression data

Comprehensive analysis of RNA-sequencing to find the source of 1 trillion reads across diverse adult human tissues

Human splicing diversity across the Sequence Read Archive


Ropsten public testnet PoW chain

Towards an Autonomous Industry 4.0 Warehouse: A UAV and Blockchain-Based System for Inventory and Traceability Applications in Big Data-Driven Supply Chain Management

Enabling the Internet of Mobile Crowdsourcing Health Things: A Mobile Fog Computing, Blockchain and IoT Based Continuous Glucose Monitoring System for Diabetes Mellitus Research and Care

GDPR Compliance Verification in Internet of Things

A Blockchain-Based Approach for Saving and Tracking Differential-Privacy Cost

Enforceable Data Sharing Agreements Using Smart Contracts.

A Blockchain-Based Spatial Crowdsourcing System for Spatial Information Collection Using a Reward Distribution

CertificateChain: decentralized healthcare training certificate management system using blockchain and smart contracts

A Modified Hybrid Blockchain Framework for Secured Data Transaction

A Privacy-Preserving Platform for Recording COVID-19 Vaccine Passports

DApp for Rating


Guardian: Symbolic Validation of Orderliness in SGX Enclaves

Designing a Provenance Analysis for SGX Enclaves

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


Benchmark suite of test functions suitable for evaluating black-box optimization strategies

Optuna: A Next-generation Hyperparameter Optimization Framework

A Stratified Analysis of Bayesian Optimization Methods

Evaluation System for a Bayesian Optimization Service

Modulating Surrogates for Bayesian Optimization

Sequential Preference-Based Optimization


CANAlization: Control & Redundancy in Boolean Networks

CANA: A Python Package for Quantifying Control and Canalization in Boolean Networks

Influence maximization in Boolean networks

Effective Connectivity and Bias Entropy Improve Prediction of Dynamical Regime in Automata Networks

Dynamical methods for target control of biological networks.

Dynamical Modularity in Automata Models of Biochemical Networks


Corner plots, LaTeX tables and plotting walks.

ChainConsumer

Massive elliptical galaxies at z ∼ 0.2 are well described by stars and a Navarro-Frenk-White dark matter halo

The UTMOST pulsar timing programme – II. Timing noise across the pulsar population

Monthly notices of the Royal Astronomical Society

Late-time decaying dark matter: constraints and implications for the H0-tension

Dark Energy Survey Year 1 results: Methodology and projections for joint analysis of galaxy clustering, galaxy lensing, and CMB lensing two-point functions

Sources of H-0-tension in dark energy scenarios

Milky Way Satellite Census. IV. Constraints on Decaying Dark Matter from Observations of Milky Way Satellite Galaxies

H_0 Reconstruction with Type Ia Supernovae, Baryon Acoustic
  Oscillation and Gravitational Lensing Time-Delay

Testing general relativity on cosmological scales at redshift z ∼ 1.5 with quasar and CMB lensing

Testing generalized scalar-tensor theories of gravity with clusters of galaxies


Python parser and tools for MUSDB18 Music Separation Dataset

MUSDB18 - a corpus for music separation

Zenodo (CERN European Organization for Nuclear Research)

All for One and One for All: Improving Music Separation by Bridging Networks

Channel-wise Subband Input for Better Voice and Accompaniment Separation on High Resolution Music

The Whole Is Greater than the Sum of Its Parts: Improving DNN-based
  Music Source Separation


:fire: Use pre-trained models in PyTorch to extract vector embeddings for any image

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Certainty Equivalent Perception-Based Control

Coreset Clustering on Small Quantum Computers

Index-based, High-dimensional, Cosine Threshold Querying with Optimality Guarantees

Active Membership Inference Attack under Local Differential Privacy in
  Federated Learning

The Newspaper Navigator Dataset: Extracting And Analyzing Visual Content from 16 Million Historic Newspaper Pages in Chronicling America


An R package to facilitate analysis and  visualization of groundwater data from the British Columbia groundwater observation well network


Natural language detection

Predicting Issue Types on GitHub

PALI: A Language Identification Benchmark for Perso-Arabic Scripts


KakaoBrain KoGPT (Korean Generative Pre-trained Transformer)

What Changes Can Large-scale Language Models Bring? Intensive Study on HyperCLOVA: Billions-scale Korean Generative Pretrained Transformers

Membership Inference Attacks With Token-Level Deduplication on Korean Language Models

Orion-14B: Open-source Multilingual Large Language Models


Bayesian spEEch Recognizer

Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery

A Hierarchical Subspace Model for Language-Attuned Acoustic Unit Discovery

Non-Parametric Bayesian Subspace Models for Acoustic Unit Discovery

IEEE/ACM transactions on audio, speech, and language processing


These scripts create daily survey station daily temperature and anomaly plots as the ships work their way through the Bering Sea. These ships are conducting NOAA Fisheries' Alaska Fisheries Science Center's fisheries independent surveys in the Eastern Bering Sea. Scripts pull temperatures from google drive, entered by FPCs at sea, create daily maps and composite gifs, and then push the maps to google drive for the communications team.


An implementation of a simulated annealing sampler for general Ising model graphs in C++ with a dimod Python wrapper.

Qibo: a framework for quantum simulation with hardware acceleration

Benchmark of quantum-inspired heuristic solvers for quadratic unconstrained binary optimization

Quantum Annealing vs. QAOA: 127 Qubit Higher-Order Ising Problems on
  NISQ Computers

Application of QUBO solver using black-box optimization to structural design for resonance avoidance

Quantum annealing algorithms for Boolean tensor networks

An open-source modular framework for quantum computing

Simulations of frustrated Ising Hamiltonians using quantum approximate optimization

Particle track reconstruction with noisy intermediate-scale quantum
  computers

Benchmarking Quantum(-Inspired) Annealing Hardware on Practical Use Cases


open-source neutrino interaction library

Equation of State Effects in Core-Collapse Supernovae

Formulating bulk viscosity for neutron star simulations

Equation of state and neutrino transfer in supernovae and neutron stars

Comparison of Electron Capture Rates in the N = 50 Region using 1D Simulations of Core-collapse Supernovae

Long-term gravitational wave asteroseismology of supernovae: From core collapse to 20 seconds postbounce


An implementation of KFAC for TensorFlow

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

Estimating Model Uncertainty of Neural Networks in Sparse Information Form

M-FAC: Efficient Matrix-Free Approximations of Second-Order Information

Convolutional Neural Network Training with Distributed K-FAC

Small Steps and Giant Leaps: Minimal Newton Solvers for Deep Learning

Gradient Descent on Neurons and its Link to Approximate Second-Order Optimization

Network Automatic Pruning: Start NAP and Take a Nap

Component-Wise Natural Gradient Descent - An Efficient Neural Network Optimization


Prediction of stimulus-independent and task-unrelated thought from functional brain networks

Transdiagnostic, Connectome-Based Prediction of Memory Constructs Across Psychiatric Disorders

Functional connectivity during frustration: a preliminary study of predictive modeling of irritability in youth

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology

Large-Scale Functional Brain Networks of Maladaptive Childhood Aggression Identified by Connectome-Based Predictive Modeling

Reporting details of neuroimaging studies on individual traits prediction: A literature survey

Brain connectivity at rest predicts individual differences in normative activity during movie watching

Predicting response time variability from task and resting-state functional connectivity in the aging brain

A Unified Framework for Inattention Estimation From Resting State Phase Synchrony Using Machine Learning


A python tool that ingests WUDAPT information into WRF.

Local Climate Zones for Urban Temperature Studies

Bulletin of the American Meteorological Society

Evaluation of the ‘local climate zone’ scheme using temperature observations and model simulations

WUDAPT: An Urban Weather, Climate, and Environmental Modeling Infrastructure for the Anthropocene

WUDAPT, an efficient land use producing data tool for mesoscale models? Integration of urban LCZ in WRF over Madrid

Mapping Europe into local climate zones

LCZ Generator: A Web Application to Create Local Climate Zone Maps

Combining expert and crowd-sourced training data to map urban form and functions for the continental US

Evaluating the performance of a novel WUDAPT averaging technique to define urban morphology with mesoscale models


Library for graphical models of decision making, based on pgmpy and networkx

Agent Incentives: A Causal Perspective

Why Fair Labels Can Yield Unfair Predictions: Graphical Conditions for Introduced Unfairness

Equilibrium Refinements for Multi-Agent Influence Diagrams: Theory and Practice

PyCID: A Python Library for Causal Influence Diagrams

Proceedings of the Python in Science Conferences

A Complete Criterion for Value of Information in Soluble Influence Diagrams


NaturalSpeech: End-to-End Text to Speech Synthesis with Human-Level
  Quality

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Driven Adaptive Prior

LightSpeech: Lightweight and Fast Text to Speech with Neural
  Architecture Search

FastCorrect 2: Fast Error Correction on Multiple Candidates for Automatic Speech Recognition

BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for
  Binaural Audio Synthesis

Hierarchical Diffusion Models for Singing Voice Neural Vocoder

Mask the Correct Tokens: An Embarrassingly Simple Approach for Error Correction

SoftCorrect: Error Correction with Soft Detection for Automatic Speech Recognition

VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing

Robust One-Shot Singing Voice Conversion


Library for Knowledge Intensive Language Tasks

KILT: a Benchmark for Knowledge Intensive Language Tasks

Retrieval Augmentation Reduces Hallucination in Conversation

A Survey of Knowledge-enhanced Text Generation

Hurdles to Progress in Long-form Question Answering

Read before Generate! Faithful Long Form Question Answering with Machine Reading

Fool Me Twice: Entailment from Wikipedia Gamification

Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks

Generating Information-Seeking Conversations from Unlabeled Documents

On the Influence of Masking Policies in Intermediate Pre-training

Reasoning over Public and Private Data in Retrieval-Based Systems


Flexible Stellar Population Synthesis

Deriving Physical Properties from Broadband Photometry with Prospector: Description of the Model and a Demonstration of its Accuracy Using 129 Galaxies in the Local Universe

Nebular Continuum and Line Emission in Stellar Population Synthesis Models

A Redshift-independent Efficiency Model: Star Formation and Stellar Masses in Dark Matter Halos at z ≳ 4

A massive, quiescent, population II galaxy at a redshift of 2.1

Fast, Slow, Early, Late: Quenching Massive Galaxies at z ∼ 0.8

The Palomar Transient Factory Core-collapse Supernova Host-galaxy Sample. I. Host-galaxy Distribution Functions and Environment Dependence of Core-collapse Supernovae

The Astrophysical journal. Supplement series/Astrophysical journal. Supplement series

Stochastic modelling of star-formation histories I: the scatter of the star-forming main sequence

ETHOS - an effective theory of structure formation: predictions for the high-redshift Universe - abundance of galaxies and reionization.

The Three Hundred project: The gizmo-simba run

Signatures of Stellar Accretion in MaNGA Early-type Galaxies


Prediction of prophages from bacterial genomes

Genomic and Biotechnological Characterization of the Heavy-Metal Resistant, Arsenic-Oxidizing Bacterium Ensifer sp. M14

The ESKAPE mobilome contributes to the spread of antimicrobial resistance and CRISPR-mediated conflict between mobile genetic elements

De Novo Sequencing Provides Insights Into the Pathogenicity of Foodborne Vibrio parahaemolyticus

Frontiers in cellular and infection microbiology

Whole genome analysis of host-associated lactobacillus salivarius and the effects on hepatic antioxidant enzymes and gut microorganisms of Sinocyclocheilus grahami

Genomic Diversity and Chromosomal Rearrangements in Neisseria gonorrhoeae and Neisseria meningitidis


Korean BERT pre-trained cased (KoBERT)

KLUE: Korean Language Understanding Evaluation

SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)

Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)

BEEP! Korean Corpus of Online News Comments for Toxic Speech Detection

KR-BERT: A Small-Scale Korean-Specific Language Model

An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks

Pre-training Polish Transformer-based Language Models at Scale

KoreALBERT: Pretraining a Lite BERT Model for Korean Language Understanding

Exploring the Data Efficiency of Cross-Lingual Post-Training in Pretrained Language Models

Jamo Pair Encoding: Subcharacter Representation-based Extreme Korean Vocabulary Compression for Efficient Subword Tokenization

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

APEACH: Attacking Pejorative Expressions with Analysis on Crowd-Generated Hate Speech Evaluation Datasets


semantic similarity framework for knowledge graph

A survey of ontology learning techniques and applications

Database : the journal of biological databases and curation

Semantic similarity and machine learning with ontologies


The project aims on adding a state-of-the-art transliteration module for cross transliterations among all Indian languages including English.

Universal Dependency Parsing for Hindi-English Code-switching

WordNet Gloss Translation for Under-resourced Languages using Multilingual Neural Machine Translation

Joining Hands: Exploiting Monolingual Treebanks for Parsing of Code-mixing Data

RiTUAL-UH at TRAC 2018 Shared Task: Aggression Identification

SJ_AJ@DravidianLangTech-EACL2021: Task-Adaptive Pre-Training of Multilingual BERT models for Offensive Language Identification

Part-of-Speech Tagging for Code-Switched, Transliterated Texts without Explicit Language Identification

Empirical Methods in Natural Language Processing

Bilingual Lexicon Induction across Orthographically-distinct Under-Resourced Dravidian Languages

Workshop on NLP for Similar Languages, Varieties and Dialects

A Unified Framework for Multilingual and Code-Mixed Visual Question Answering

International Joint Conference on Natural Language Processing

Spartans@LT-EDI-EACL2021: Inclusive Speech Detection using Pretrained Language Models

Normalization and Back-Transliteration for Code-Switched Data

Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching


Repository containing experimentation platform on how to train, infer on wav2vec2 models.

CLSRIL-23: Cross Lingual Speech Representations for Indic Languages

Code Switched and Code Mixed Speech Recognition for Indic languages


:city_sunrise: The Urban Weather Generator (uwg) is a Python application for modeling the urban heat island effect.