Artificial Intelligence Research for Science (AIRS)

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum
  Systems

Periodic Graph Transformers for Crystal Material Property Prediction

Efficient Approximations of Complete Interatomic Potentials for Crystal
  Property Prediction

Group Equivariant Fourier Neural Operators for Partial Differential
  Equations

A Latent Diffusion Model for Protein Structure Generation

Efficient and Equivariant Graph Networks for Predicting Quantum
  Hamiltonian

QH9: A Quantum Hamiltonian Prediction Benchmark for QM9 Molecules

Towards Symmetry-Aware Generation of Periodic Materials


A DNS and LES box code

Optimal closed-loop wake steering, Part 1: Conventionally neutral atmospheric boundary layer conditions

Turbulence Enrichment using Generative Adversarial Networks

Effect of tip spacing, thrust coefficient and turbine spacing in multi-rotor wind turbines and farms

Optimal closed-loop wake steering – Part 2: Diurnal cycle atmospheric boundary layer conditions

Wind farm yaw control set-point optimization under model parameter uncertainty

Modelling the induction, thrust and power of a yaw-misaligned actuator disk


Hyperparameter Experiments with TensorFlow and Keras

On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice

Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images

Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

An all-photonic focal-plane wavefront sensor

A deep learning model to emulate simulations of cosmic reionization

Monthly notices of the Royal Astronomical Society

Resource Usage and Performance Trade-offs for Machine Learning Models in Smart Environments

Multiobjective optimization of the dynamic aperture using surrogate models based on artificial neural networks

Machine Learning Approach for Prediction of Hematic Parameters in Hemodialysis Patients

IEEE journal of translational engineering in health and medicine

RASPD+: Fast Protein-Ligand Binding Free Energy Prediction Using Simplified Physicochemical Features

Zenodo (CERN European Organization for Nuclear Research)

UMS-Rep: Unified modality-specific representation for efficient medical image analysis


Tool Learning for Big Models, Open-Source Solutions of ChatGPT-Plugins

Tool Learning with Foundation Models

Data-Copilot: Bridging Billions of Data and Humans with Autonomous
  Workflow


A grounder and solver for logic programs.

Multi-shot ASP solving with clingo

How to build your own ASP-based system?!

Integrating Task-Motion Planning with Reinforcement Learning for Robust Decision Making in Mobile Robots

Elaboration Tolerant Representation of Markov Decision Process via Decision-Theoretic Extension of Probabilistic Action Language pBC+

Differentiable Satisfiability and Differentiable Answer Set Programming for Sampling-Based Multi-Model Optimization

A tool for compiling Declarative Process Mining problems in ASP


A set of tools to analyse the output from TraDIS analyses

A decade of advances in transposon-insertion sequencing

Essential Role of the ESX-5 Secretion System in Outer Membrane Permeability of Pathogenic Mycobacteria

The Capsule Regulatory Network of Klebsiella pneumoniae Defined by density-TraDISort

The secondary resistome of multidrug-resistant Klebsiella pneumoniae

Candidate Essential Genes in Burkholderia cenocepacia J2315 Identified by Genome-Wide TraDIS

A Comprehensive Overview of Online Resources to Identify and Predict Bacterial Essential Genes

A global data-driven census of Salmonella small proteins and their potential functions in bacterial virulence

Transposon Insertion Sequencing Elucidates Novel Gene Involvement in Susceptibility and Resistance to Phages T4 and T7 in Escherichia coli O157

Global Analysis of Genes Essential for Francisella tularensis Schu S4 Growth In Vitro and for Fitness during Competitive Infection of Fischer 344 Rats

Genetic Determinants Associated With in Vivo Survival of Burkholderia cenocepacia in the Caenorhabditis elegans Model


The Standard DAO Framework, including Whitepaper

A Survey on Ethereum Systems Security: Vulnerabilities, Attacks and
  Defenses

Harvey: A Greybox Fuzzer for Smart Contracts

Targeted Greybox Fuzzing with Static Lookahead Analysis

On the Feasibility of Decentralized Derivatives Markets

Learning Inputs in Greybox Fuzzing


:dragon: Compute and work with indices of effect size and standardized parameters

effectsize: Estimation of Effect Size Indices and Standardized Parameters

Soil Management Effects on Soil Water Erosion and Runoff in Central Syria—A Comparative Evaluation of General Linear Model and Random Forest Regression

Reactive, Agentic, Apathetic, or Challenged? Aging, Emotion, and Coping During the COVID-19 Pandemic

A Model of Psychological Mechanisms of Inclusive Music-Making: Empowerment of Marginalized Young People

Plasma GFAP associates with secondary Alzheimer's pathology in Lewy body disease

Adaptation and validation of two autism-related measures of skills and quality of life in Ethiopia

Autism : the international journal of research and practice

Age-related decline in cortical inhibitory tone strengthens motor memory

Effects of dietary fatty acids on the social life of male Guinea pigs from adolescence to adulthood

Pupillary Responses to Faces Are Modulated by Familiarity and Rewarding Context


The Numenta Anomaly Benchmark

Unsupervised real-time anomaly detection for streaming data

Evaluating Real-Time Anomaly Detection Algorithms -- The Numenta Anomaly Benchmark

International Conference on Machine Learning and Applications

TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks

Precision and Recall for Time Series

TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks

IEEE Symposium Series on Computational Intelligence

Real-Time Anomaly Detection for Streaming Analytics

Expected similarity estimation for large-scale batch and streaming anomaly detection

Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks

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

Anomaly Detection in Cloud Components

International Conference on Cloud Computing

Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities

Transportation research. Part C, Emerging technologies


Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.

Google Vizier: A Service for Black-Box Optimization

Open Source Vizier: Distributed Infrastructure and API for Reliable and
  Flexible Blackbox Optimization

Massively Parallel Genetic Optimization through Asynchronous Propagation
  of Populations

OmniPred: Language Models as Universal Regressors


Scalable toolkit for efficient model alignment

Proximal Policy Optimization Algorithms

Direct Preference Optimization: Your Language Model is Secretly a Reward
  Model

HelpSteer: Multi-attribute Helpfulness Dataset for SteerLM

SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF


Fast Elliptic Curve Cryptography in plain javascript

Efficient Private Statistics with Succinct Sketches

Privacy-Friendly Mobility Analytics using Aggregate Location Data

Microwalk-CI

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security

IoT Device Integration and Payment via an Autonomic Blockchain-Based Service for IoT Device Sharing

BaseSAP: Modular Stealth Address Protocol for Programmable Blockchains


Easy-to-use glTF 2.0-compliant OpenGL renderer for visualization of 3D scenes.

Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance

Habitat 2.0: Training Home Assistants to Rearrange their Habitat

ACRONYM: A Large-Scale Grasp Dataset Based on Simulation

TACTO: A Fast, Flexible, and Open-Source Simulator for High-Resolution Vision-Based Tactile Sensors

Tactile Object Pose Estimation from the First Touch with Geometric Contact Rendering

Let's Face It: Probabilistic Multi-modal Interlocutor-aware Generation of Facial Gestures in Dyadic Settings

Proceedings of the 20th ACM International Conference on Intelligent Virtual Agents

ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations

ShapeMap 3-D: Efficient shape mapping through dense touch and vision

Tac2Pose: Tactile object pose estimation from the first touch

The international journal of robotics research

Nothing But Geometric Constraints: A Model-Free Method for Articulated Object Pose Estimation


Easy-to-use and powerful NLP and LLM library with  Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including Text Classification,   Neural Search, ❓ Question Answering, ℹ Information Extraction,  Document Intelligence,  Sentiment Analysis etc.

Attention Is All You Need

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

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Language Models are Unsupervised Multitask Learners

Convolutional Neural Networks for Sentence Classification

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

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

XLNet: Generalized Autoregressive Pretraining for Language Understanding

High-Resolution Image Synthesis with Latent Diffusion Models

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


TTK data examples

Localized Topological Simplification of Scalar Data

A Progressive Approach to Scalar Field Topology

IEEE transactions on visualization and computer graphics

Fast Approximation of Persistence Diagrams with Guarantees

Parallel Computation of Piecewise Linear Morse-Smale Segmentations

Cinema Darkroom: A Deferred Rendering Framework for Large-Scale Datasets


FeAture Explorer

Prediction of Post-hepatectomy Liver Failure in Patients With Hepatocellular Carcinoma Based on Radiomics Using Gd-EOB-DTPA-Enhanced MRI: The Liver Failure Model

Evaluating Solid Lung Adenocarcinoma Anaplastic Lymphoma Kinase Gene Rearrangement Using Noninvasive Radiomics Biomarkers

Diagnostic Performance of 2D and 3D T2WI-Based Radiomics Features With Machine Learning Algorithms to Distinguish Solid Solitary Pulmonary Lesion

Combination Analysis of a Radiomics-Based Predictive Model With Clinical Indicators for the Preoperative Assessment of Histological Grade in Endometrial Carcinoma

Development and evaluation of a venous computed tomography radiomics model to predict lymph node metastasis from non-small cell lung cancer

Multi-Parameter MR Radiomics Based Model to Predict 5-Year Progression-Free Survival in Endometrial Cancer

Texture Analysis of Fat-Suppressed T2-Weighted Magnetic Resonance Imaging and Use of Machine Learning to Discriminate Nasal and Paranasal Sinus Small Round Malignant Cell Tumors

Hippocampal subfield alterations in pediatric patients with post-traumatic stress disorder

Social cognitive and affective neuroscience

A Radiomics Model Based on Gd-EOB-DTPA-Enhanced MRI for the Prediction of Microvascular Invasion in Solitary Hepatocellular Carcinoma ≤ 5 cm

Development and External Validation of a Radiomics Model Derived from Preoperative Gadoxetic Acid-Enhanced MRI for Predicting Histopathologic Grade of Hepatocellular Carcinoma


Some notes on things I find interesting and important.

Membership Inference Attacks against Machine Learning Models

Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning

Renyi Differential Privacy

IEEE Computer Security Foundations Symposium

Towards the Science of Security and Privacy in Machine Learning

LOGAN: Membership Inference Attacks Against Generative Models

A Secure Federated Transfer Learning Framework

Evaluating Differentially Private Machine Learning in Practice

Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics

Differentially Private SQL with Bounded User Contribution

Renyi Differential Privacy Mechanisms for Posterior Sampling


Genome Assembly and Annotation Service code

Genome Sequencing of Pleurozium schreberi: The Assembled and Annotated Draft Genome of a Pleurocarpous Feather Moss

Evolutionary History of the Marchantia polymorpha Complex

Dissecting the Effects of Selection and Mutation on Genetic Diversity in Three Wood White (Leptidea) Butterfly Species

LGAAP: Leishmaniinae Genome Assembly and Annotation Pipeline

The first genome for the Cape Primrose Streptocarpus rexii (Gesneriaceae), a model plant for studying meristem‐driven shoot diversity


Explore correlations in R

Copy number signature analysis tool and its application in prostate cancer reveals distinct mutational processes and clinical outcomes

Rare deleterious mutations of HNRNP genes result in shared neurodevelopmental disorders

Environmental Impacts of Cement Production: A Statistical Analysis

Key Traits and Genes Associate with Salinity Tolerance Independent from Vigor in Cultivated Sunflower

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

Diverse and mobile: eccDNA-based identification of carrot low-copy-number LTR retrotransposons active in callus cultures.

The Plant journal : for cell and molecular biology

Development and Assessment of a Body Condition Score Scheme for European Bison (Bison bonasus)

Animals : an open access journal from MDPI

Genetic gains in tropical maize hybrids across moisture regimes with multi-trait-based index selection


Analyses your Java applications for open-source dependencies with known vulnerabilities, using both static analysis and testing to determine code context and usage for greater accuracy.  https://eclipse.github.io/steady/

A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software

Detection, assessment and mitigation of vulnerabilities in open source dependencies

VulnEx: Exploring Open-Source Software Vulnerabilities in Large
  Development Organizations to Understand Risk Exposure

Automated Mapping of Vulnerability Advisories onto their Fix Commits in
  Open Source Repositories

Detecting Security Fixes in Open-Source Repositories using Static Code Analyzers.


Benchmarking Deep Learning operations on different hardware

Mixed Precision Training

MLPerf Inference Benchmark

Benchmarking TPU, GPU, and CPU Platforms for Deep Learning

Sparse GPU Kernels for Deep Learning

PREMA: A Predictive Multi-task Scheduling Algorithm For Preemptible Neural Processing Units

Deep Learning at 15PF: Supervised and Semi-Supervised Classification for
  Scientific Data

CoSA: Scheduling by Constrained Optimization for Spatial Accelerators

Beyond Human-Level Accuracy: Computational Challenges in Deep Learning

Beyond the Memory Wall: A Case for Memory-centric HPC System for Deep Learning

Performance Analysis and Characterization of Training Deep Learning Models on Mobile Devices


An Open-Source Package for Textual Adversarial Attack.

OpenAttack: An Open-source Textual Adversarial Attack Toolkit

Triggerless Backdoor Attack for NLP Tasks with Clean Labels

On Robustness and Bias Analysis of BERT-Based Relation Extraction

Disentangled Contrastive Learning for Learning Robust Textual Representations

Rethinking Textual Adversarial Defense for Pre-Trained Language Models

Distinguishing Non-natural from Natural Adversarial Samples for More Robust Pre-trained Language Model

HAT4RD: Hierarchical Adversarial Training for Rumor Detection on Social
  Media

InterroLang: Exploring NLP Models and Datasets through Dialogue-based Explanations

RMLM: A Flexible Defense Framework for Proactively Mitigating Word-level Adversarial Attacks

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


XTREME is a benchmark for the evaluation of the cross-lingual generalization ability of pre-trained multilingual models that covers 40 typologically diverse languages and includes nine tasks.

XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation

FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding

Explicit Alignment Objectives for Multilingual Bidirectional Encoders

Consistency Regularization for Cross-Lingual Fine-Tuning

Enhancing Cross-lingual Transfer by Manifold Mixup

Frustratingly Easy Label Projection for Cross-lingual Transfer

Evaluating the Diversity, Equity, and Inclusion of NLP Technology: A Case Study for Indian Languages

MELM: Data Augmentation with Masked Entity Language Modeling for Cross-lingual NER.

Languages You Know Influence Those You Learn: Impact of Language
  Characteristics on Multi-Lingual Text-to-Text Transfer


Creative Commons Attribution 4.0 International

The consensus GEM for Saccharomyces cerevisiae

Nitrogen limitation reveals large reserves in metabolic and translational capacities of yeast

De novo biosynthesis of rubusoside and rebaudiosides in engineered yeasts

Genome-scale modeling of yeast metabolism: retrospectives and perspectives

Genome-scale metabolic reconstruction of the non-model yeast Issatchenkia orientalis SD108 and its application to organic acids production

Nitrogenous Compound Utilization and Production of Volatile Organic Compounds among Commercial Wine Yeasts Highlight Strain-Specific Metabolic Diversity

Ustilago maydis Metabolic Characterization and Growth Quantification with a Genome-Scale Metabolic Model

Author Correction: A consensus S. cerevisiae metabolic model Yeast8 and its ecosystem for comprehensively probing cellular metabolism

Metabolic function-based normalization improves transcriptome data-driven reduction of genome-scale metabolic models


DreamCoder: Growing generalizable, interpretable knowledge with
  wake-sleep Bayesian program learning

Neural-Symbolic Recursive Machine for Systematic Generalization

A HINT from Arithmetic: On Systematic Generalization of Perception, Syntax, and Semantics.

Discovering Quantum Circuit Components with Program Synthesis


Python library for quantum circuit rewriting and optimisation using the ZX-calculus

Graph-theoretic Simplification of Quantum Circuits with the ZX-calculus

Reducing the number of non-Clifford gates in quantum circuits

Open source software in quantum computing

PyZX: Large Scale Automated Diagrammatic Reasoning

CNOT circuit extraction for topologically-constrained quantum memories

There and back again: A circuit extraction tale

A Near-Optimal Axiomatisation of ZX-Calculus for Pure Qubit Quantum Mechanics.

Completeness of Graphical Languages for Mixed States Quantum Mechanics

Quantum CNOT Circuits Synthesis for NISQ Architectures Using the Syndrome Decoding Problem

Kindergarden quantum mechanics graduates ...or how I learned to stop gluing LEGO together and love the ZX-calculus


SmartSim Infrastructure Library.

Using Machine Learning at Scale in HPC Simulations with SmartSim: An Application to Ocean Climate Modeling.

Achieving 100X faster simulations of complex biological phenomena by coupling ML to HPC ensembles.

Coupling streaming AI and HPC ensembles to achieve 100-1000x faster
  biomolecular simulations

In Situ Framework for Coupling Simulation and Machine Learning with Application to CFD


Astraea: A Decentralized Blockchain Oracle

Blockchain for Cities—A Systematic Literature Review

Deconstructing Blockchains: A Comprehensive Survey on Consensus, Membership and Structure

Coded Merkle Tree: Solving Data Availability Attacks in Blockchains

Blockchain Consensus Algorithms: A Survey

SoK: Tools for Game Theoretic Models of Security for Cryptocurrencies

End-to-End Formal Verification of Ethereum 2.0 Deposit Smart Contract

Overcoming Data Availability Attacks in Blockchain Systems: LDPC Code Design for Coded Merkle Tree

An experiment in distributed Internet address management using
  blockchains

Auditable Credential Anonymity Revocation Based on Privacy-Preserving Smart Contracts


The main Embench repository

Comparative Analysis and Enhancement of CFG-based Hardware-Assisted CFI Schemes

BYOTee: Towards Building Your Own Trusted Execution Environments Using
  FPGA

RVCoreP-32IM: An effective architecture to implement mul/div instructions for five stage RISC-V soft processors.

RVfplib: A Fast and Compact Open-Source Floating-Point Emulation Library for Tiny RISC-V Processors

From MMU to MPU: Adaptation of the Pip Kernel to Constrained Devices

Artificial Intelligence, Soft Computing and Applications

MAFIA: Protecting the Microarchitecture of Embedded Systems Against Fault Injection Attacks

IEEE transactions on computer-aided design of integrated circuits and systems


High-Performance Symbolic Regression in Python and Julia

Discovering Symbolic Models from Deep Learning with Inductive Biases

Rediscovering orbital mechanics with machine learning

Interpretable Machine Learning for Science with PySR and
  SymbolicRegression.jl

How Much Data Are Augmentations Worth? An Investigation into Scaling
  Laws, Invariance, and Implicit Regularization

The SZ flux-mass (Y-M) relation at low halo masses: improvements
  with symbolic regression and strong constraints on baryonic feedback

Augmenting astrophysical scaling relations with machine learning: Application to reducing the Sunyaev–Zeldovich flux–mass scatter

Automated discovery of interpretable gravitational-wave population
  models

Cosmic backreaction and the mean redshift drift from symbolic regression

Modeling assembly bias with machine learning and symbolic regression

Symbolic Regression on FPGAs for Fast Machine Learning Inference


An Analysis Tool for Smart Contracts

ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection

PROCEEDINGS OF THE 2018 33RD IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMTED SOFTWARE ENGINEERING (ASE' 18)

Finding The Greedy, Prodigal, and Suicidal Contracts at Scale

A Semantic Framework for the Security Analysis of Ethereum Smart Contracts

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

International Conference on Software Engineering

Sereum: Protecting Existing Smart Contracts Against Re-Entrancy Attacks

The Art of The Scam: Demystifying Honeypots in Ethereum Smart Contracts

Security Analysis Methods on Ethereum Smart Contract Vulnerabilities: A
  Survey

Defining Smart Contract Defects on Ethereum

Scilla: a Smart Contract Intermediate-Level LAnguage

Exploiting The Laws of Order in Smart Contracts


Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and
  Future Opportunities

Automated Machine Learning on Graphs: A Survey

Evaluation of Light Gradient Boosted Machine Learning Technique in Large Scale Land Use and Land Cover Classification

AMLB: an AutoML Benchmark

Comparison of Automated Machine Learning Tools for SMS Spam Message Filtering

Prediction of Recurrent Mutations in SARS-CoV-2 Using Artificial Neural Networks

International journal of molecular sciences

Models including preoperative plasma levels of angiogenic factors, leptin and IL-8 as potential biomarkers of endometrial cancer

AutoDES: AutoML Pipeline Generation of Classification with Dynamic
  Ensemble Strategy Selection

The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry

Machine Learning Class Numbers of Real Quadratic Fields


Data compression in TensorFlow

End-to-end Optimized Image Compression

Variational image compression with a scale hyperprior

High-Fidelity Generative Image Compression

CompressAI: a PyTorch library and evaluation platform for end-to-end compression research

Channel-wise Autoregressive Entropy Models for Learned Image Compression

Improving Inference for Neural Image Compression

Efficient Nonlinear Transforms for Lossy Image Compression

Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform

An Introduction to Neural Data Compression

ProxIQA: A Proxy Approach to Perceptual Optimization of Learned Image Compression

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


BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

Binarized Neural Networks

DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?

Back to Simplicity: How to Train Accurate BNNs from Scratch?

A comprehensive review of Binary Neural Network

Training Competitive Binary Neural Networks from Scratch

MeliusNet: An Improved Network Architecture for Binary Neural Networks

Workshop on Applications of Computer Vision

Training Accurate Binary Neural Networks from Scratch

International Conference on Information Photonics

BMXNet 2: An Open Source Framework for Low-bit Networks - Reproducing, Understanding, Designing and Showcasing

MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA


Python library for real space quantum Monte Carlo

Recent developments in the PySCF program package

Excited states in variational Monte Carlo using a penalty method

A light weight regularization for wave function parameter gradients in quantum Monte Carlo

ipie: A Python-based Auxiliary-Field Quantum Monte Carlo Program with
  Flexibility and Efficiency on CPUs and GPUs

Bootstrap Embedding on a Quantum Computer

Quantification of electron correlation for approximate quantum
  calculations


Massive-Parallel Trajectory Calculations (MPTRAC) is a Lagrangian particle dispersion model for the analysis of atmospheric transport processes in the free troposphere and stratosphere.

From ERA-Interim to ERA5: considerable impact of ECMWF's next-generation reanalysis on Lagrangian transport simulations

Long-range transport of volcanic aerosol from the 2010 Merapi tropical eruption to Antarctica

Improved estimation of volcanic SO2 injections from satellite retrievals and Lagrangian transport simulations: the 2019 Raikoke eruption

Improved estimation of volcanic SO 2 injections from satellite observations and Lagrangian transport simulations: the 2019 Raikoke eruption

Regional and seasonal truncation errors of trajectory calculationsusing ECMWF high-resolution operational analyses and forecasts


extract and tweak data from electrochemical tests of cells


DSSAT Cropping System Model

Parallel gridded simulation framework for DSSAT-CSM (version 4.7.5.21) using MPI and NetCDF


Autograd automatically differentiates native Torch code

Theano: A Python framework for fast computation of mathematical expressions

Automatic differentiation in machine learning: a survey

AutoGraph: Imperative-style Coding with Graph-based Performance

Perturbation confusion in forward automatic differentiation of higher-order functions


Accurate and Efficient Refactoring Detection in Commit History

PROCEEDINGS 2018 IEEE/ACM 40TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE)

Why We Refactor? Confessions of GitHub Contributors

RefactoringMiner 2.0

IEEE transactions on software engineering

HOW DOES REFACTORING AFFECT INTERNAL QUALITY ATTRIBUTES?: A MULTI-PROJECT STUDY

XXXI BRAZILIAN SYMPOSIUM ON SOFTWARE ENGINEERING (SBES 2017)

On the Impact of Refactoring on the Relationship between Quality Attributes and Design Metrics

The Technical Debt Dataset

Predictive Models in Software Engineering

Understanding the use of lambda expressions in Java

Proceedings of the ACM on programming languages

Understanding the impact of refactoring on smells: a longitudinal study of 23 software projects

Can Refactoring Be Self-Affirmed? An Exploratory Study on How Developers Document Their Refactoring Activities in Commit Messages

2019 IEEE/ACM 3rd International Workshop on Refactoring (IWoR)

Improving Source Code Readability: Theory and Practice

International Conference on Program Comprehension


A lightning fast Finite State machine and REgular expression manipulation library.

Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Dolma: an Open Corpus of Three Trillion Tokens for Language Model
  Pretraining Research

TU Wien @ TREC Deep Learning '19 -- Simple Contextualization for Re-ranking

Pre-training Transformer Models with Sentence-Level Objectives for Answer Sentence Selection

Symptom Identification for Interpretable Detection of Multiple Mental
  Disorders

Mitigating the Position Bias of Transformer Models in Passage Re-Ranking

Fine-Grained Relevance Annotations for Multi-Task Document Ranking and Question Answering

ClueWeb22: 10 Billion Web Documents with Visual and Semantic Information

A Summarization Dataset of Slovak News Articles

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

Great Expectations: Unsupervised Inference of Suspense, Surprise and
  Salience in Storytelling


A Python library for phylogenetic scripting, simulation, data processing and manipulation.

DendroPy: a Python library for phylogenetic computing

Towards a synthesis of the Caribbean biogeography of terrestrial arthropods

Conserved Nonexonic Elements: A Novel Class of Marker for Phylogenomics

Targeted NGS for species level phylogenomics: “made to measure” or “one size fits all”?

Vastly underestimated species richness of Amazonian salamanders (Plethodontidae: Bolitoglossa) and implications about plethodontid diversification.

Extensive host-switching of avian feather lice following the Cretaceous-Paleogene mass extinction event

Evolution of Alu Subfamily Structure in the Saimiri Lineage of New World Monkeys

Integrative taxonomy resuscitates two species in the Lasioglossum villosulum complex (Kirby, 1802) (Hymenoptera: Apoidea: Halictidae)

Comparing Life Histories across Taxonomic Groups in Multiple Dimensions: How Mammal-Like Are Insects?

A Phylogenetic Analysis of the Dirt Ants, Basiceros (Formicidae: Myrmicinae): Inferring Life Histories Through Morphological Convergence


Data Reduction for Astronomy from Gemini Observatory North and South

The Astropy Project: Sustaining and Growing a Community-oriented Open-source Project and the Latest Major Release (v5.0) of the Core Package*

Mining S-PLUS for Metal-poor Stars in the Milky Way

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

SPLUS J142445.34–254247.1: An r-process–enhanced, Actinide-boost, Extremely Metal-poor Star Observed with GHOST

PASSAGES: The Wide-ranging, Extreme Intrinsic Properties of Planck-selected, Lensed Dusty Star-forming Galaxies


C++ library for Franka research robots

Touch-based Curiosity for Sparse-Reward Tasks

Real-time quintic Hermite interpolation for robot trajectory execution

TrueRMA: Learning Fast and Smooth Robot Trajectories with Recursive Midpoint Adaptations in Cartesian Space

Learning Markerless Robot-Depth Camera Calibration and End-Effector Pose
  Estimation

RobotIO: A Python Library for Robot Manipulation Experiments


Reverse Mode Automatic Differentiation for Julia

Don't Unroll Adjoint: Differentiating SSA-Form Programs

Competitive Gradient Descent

NLOptControl: A modeling language for solving optimal control problems

AbstractDifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia

Differentiate Everything with a Reversible Programming Language


Minimal PyTorch implementation of YOLOv3

JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments

IEEE transactions on pattern analysis and machine intelligence

Label-free nanofluidic scattering microscopy of size and mass of single diffusing molecules and nanoparticles

Expandable YOLO: 3D Object Detection from RGB-D Images

Bone Metastasis Detection in the Chest and Pelvis from a Whole-Body Bone Scan Using Deep Learning and a Small Dataset

DeepMTL Pro: Deep Learning Based Multiple Transmitter Localization and Power Estimation

A Neuro-Symbolic ASP Pipeline for Visual Question Answering

IPatch: A Remote Adversarial Patch

Feasibility of Inconspicuous GAN-generated Adversarial Patches against
  Object Detection

Meta-learning algorithms for Few-Shot Computer Vision

A Study on Mitigating Hard Boundaries of Decision-Tree-based Uncertainty
  Estimates for AI Models


ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with
  Variational Score Distillation

ICON: Implicit Clothed humans Obtained from Normals

Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research

NerfAcc: Efficient Sampling Accelerates NeRFs

PERGAMO: Personalized 3D Garments from Monocular Video

CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation

Language-guided Semantic Style Transfer of 3D Indoor Scenes

Zero-Shot 3D Shape Correspondence

Surrogate Modeling of Car Drag Coefficient with Depth and Normal
  Renderings

Neural directional distance field object representation for uni-directional path-traced rendering


Keras' fork with several new functionalities. Caffe2Keras converter, multimodal layers, etc.

Attention Is All You Need

Learning Deep Features for Discriminative Localization

Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

Nematus: a Toolkit for Neural Machine Translation

Simultaneous Food Localization and Recognition

Computational Commensality: From Theories to Computational Models for Social Food Preparation and Consumption in HCI

NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning

The Prague Bulletin of Mathematical Linguistics


An OpenCL-based photon-tracking simulation using a (source-based) ray tracing algorithm modeling scattering and absorption of light in the deep glacial ice at the South Pole or Mediterranean sea water.

OBSERVATION AND CHARACTERIZATION OF A COSMIC MUON NEUTRINO FLUX FROM THE NORTHERN HEMISPHERE USING SIX YEARS OF ICECUBE DATA

Measurement of Atmospheric Neutrino Oscillations at 6-56 GeV with IceCube DeepCore

Search for sterile neutrino mixing using three years of IceCube DeepCore data

Measurement of Atmospheric tau Neutrino Appearance With Icecube/deepcore

XXVIII International Conference on Neutrino Physics and Astrophysics

Improved Characterization of the Astrophysical Muon–neutrino Flux with 9.5 Years of IceCube Data

Development of an analysis to probe the neutrino mass ordering with atmospheric neutrinos using three years of IceCube DeepCore data

LeptonInjector and LeptonWeighter: A neutrino event generator and weighter for neutrino observatories

IceCube-Gen2 - The Next Generation Neutrino Observatory at the South
  Pole: Contributions to ICRC 2015

Low energy event reconstruction in IceCube DeepCore

High-energy neutrino transients and the future of multi-messenger
  astronomy


a python based software for visualization of neuroanatomical and morphological data.

Behavioral origin of sound-evoked activity in mouse visual cortex

Constructing an adult orofacial premotor atlas in Allen mouse CCF

Brainrender: a python-based software for visualizing anatomically registered data

Brain-wide analysis of the supraspinal connectome reveals anatomical correlates to functional recovery after spinal injury

Preliminary validation of a structural magnetic resonance imaging metric for tracking dementia-related neurodegeneration and future decline


A library of power system component models written in the Modelica language that can be used for power system dynamic analysis, such as phasor time-domain simulations.

Performance Benchmark of Modelica Time-Domain Power System Automated Simulations using Python

Linköping electronic conference proceedings

Guidelines and Use Cases for Power Systems Dynamic Modeling and Model Verification using Modelica and OpenIPSL


On the Variance of the Adaptive Learning Rate and Beyond

SMART: Robust and Efficient Fine-Tuning for Pre-trained Natural Language Models through Principled Regularized Optimization

Meeting of the Association for Computational Linguistics

Improving Multi-Task Deep Neural Networks via Knowledge Distillation for Natural Language Understanding

Adversarial Training for Large Neural Language Models

Fine-Tuning Pre-trained Language Model with Weak Supervision: A Contrastive-Regularized Self-Training Approach

Stance Detection Benchmark: How Robust Is Your Stance Detection?

The Microsoft Toolkit of Multi-Task Deep Neural Networks for Natural Language Understanding

Super Tickets in Pre-Trained Language Models: From Model Compression to Improving Generalization

Posterior Differential Regularization with f-divergence for Improving Model Robustness


MATLAB toolbox for Brain-Computer Interfacing (BCI)

Simultaneous acquisition of EEG and NIRS during cognitive tasks for an open access dataset

A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity

A Ternary Hybrid EEG-NIRS Brain-Computer Interface for the Classification of Brain Activation Patterns during Mental Arithmetic, Motor Imagery, and Idle State

Open-Access fNIRS Dataset for Classification of Unilateral Finger- and Foot-Tapping

Toward a compact hybrid brain-computer interface (BCI): Performance evaluation of multi-class hybrid EEG-fNIRS BCIs with limited number of channels

Subject-Independent Functional Near-Infrared Spectroscopy-Based Brain–Computer Interfaces Based on Convolutional Neural Networks

Real-time inference of word relevance from electroencephalogram and eye gaze

Improvement of Information Transfer Rates Using a Hybrid EEG-NIRS Brain-Computer Interface with a Short Trial Length: Offline and Pseudo-Online Analyses

Mobile BCI dataset of scalp- and ear-EEGs with ERP and SSVEP paradigms while standing, walking, and running

Performance Improvement of Near-Infrared Spectroscopy-Based Brain-Computer Interface Using Regularized Linear Discriminant Analysis Ensemble Classifier Based on Bootstrap Aggregating


Language-Agnostic SEntence Representations

Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond

No Language Left Behind: Scaling Human-Centered Machine Translation

WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia

CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEB

Margin-based Parallel Corpus Mining with Multilingual Sentence Embeddings

Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing

CCAligned: A Massive Collection of Cross-Lingual Web-Document Pairs

Deep Learning Models for Multilingual Hate Speech Detection

MTEB: Massive Text Embedding Benchmark

Low-Resource Corpus Filtering using Multilingual Sentence Embeddings


MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.

Image-to-Image Translation with Conditional Adversarial Networks

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

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

A Style-Based Generator Architecture for Generative Adversarial Networks

Improved Training of Wasserstein GANs

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

On the Effectiveness of Least Squares Generative Adversarial Networks

Analyzing and Improving the Image Quality of StyleGAN

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Spectral Normalization for Generative Adversarial Networks


Contrib package for Stable-Baselines3 -  Experimental reinforcement learning (RL) code

Trust Region Policy Optimization

A Distributional Perspective on Reinforcement Learning

Simple random search provides a competitive approach to reinforcement learning

A Closer Look at Invalid Action Masking in Policy Gradient Algorithms

Controlling Overestimation Bias with Truncated Mixture of Continuous Distributional Quantile Critics


Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research.  https://intellabs.github.io/distiller

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

DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Model compression via distillation and quantization

Adaptive Neural Networks for Efficient Inference

Improving Neural Network Quantization without Retraining using Outlier Channel Splitting

Neural Network Distiller: A Python Package For DNN Compression Research

Automatic Sparse Connectivity Learning for Neural Networks

Fast Adjustable Threshold for Uniform Neural Network Quantization

Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum


netZooPy is a network biology package implemented in Python.

gpuZoo: Cost-effective estimation of gene regulatory networks using the Graphics Processing Unit

Cell-Specific Gene Networks and Drivers in Rheumatoid Arthritis Synovial Tissues

bioRxiv : the preprint server for biology

Gene Network Analyses Identifies Co-regulated Transcription Factors and BACH1 as a Key Driver in Rheumatoid Arthritis Fibroblast-like Synoviocytes


EXONA: The Evolutionary eXploration of Neural Networks Framework -- EXACT, EXALT and EXAMM

Large Scale Evolution of Convolutional Neural Networks Using Volunteer Computing

Investigating Recurrent Neural Network Memory Structures using Neuro-Evolution

Neuroevolutionary Transfer Learning of Deep Recurrent Neural Networks through Network-Aware Adaptation

Accelerating the Evolution of Convolutional Neural Networks with Node-Level Mutations and Epigenetic Weight Initialization

The Ant Swarm Neuro-Evolution Procedure for Optimizing Recurrent Networks.

Online Evolutionary Neural Architecture Search for Multivariate
  Non-Stationary Time Series Forecasting

Improving Neuroevolution Using Island Extinction and Repopulation

Backpropagation-Free 4D Continuous Ant-Based Neural Topology Search

An Empirical Exploration of Deep Recurrent Connections and Memory Cells Using Neuro-Evolution

An Experimental Study of Weight Initialization and Weight Inheritance Effects on Neuroevolution.


Python 3 version of FabSim

VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

Sensitivity-driven simulation development: a case study in forced migration

Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit

Uncertainty quantification of dynamic earthquake rupture simulations


PECOS - Prediction for Enormous and Correlated Spaces

Node Feature Extraction by Self-Supervised Multi-scale Neighborhood
  Prediction

Fast Multi-Resolution Transformer Fine-tuning for Extreme Multi-label Text Classification

Extreme Multi-label Learning for Semantic Matching in Product Search

Extreme Zero-Shot Learning for Extreme Text Classification

A Survey on Extreme Multi-label Learning

Session-Aware Query Auto-completion using Extreme Multi-Label Ranking

Automated ICD coding using extreme multi-label long text transformer-based models.

Extreme Multi-Label Classification with Label Masking for Product Attribute Value Extraction

Proceedings of The Fifth Workshop on e-Commerce and NLP (ECNLP 5)

Prompt-based Node Feature Extractor for Few-shot Learning on
  Text-Attributed Graphs

ELIAS: End-to-End Learning to Index and Search in Large Output Spaces


Code for Bayesian Analysis

Cosmological Parameters from the BOSS Galaxy Power Spectrum

Journal of Cosmology and Astroparticle Physics

Early dark energy does not restore cosmological concordance

General cosmography model with spatial curvature

Monthly notices of the Royal Astronomical Society

Nonlinear perturbation theory extension of the Boltzmann code CLASS

Atacama Cosmology Telescope: Constraints on prerecombination early dark energy

Constraints on primordial gravitational waves from the cosmic microwave background

CosmoPower: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

Testing the effect of H-0 on f sigma(8) tension using a Gaussian process method

Monthly Notices of the Royal Astronomical Society

CMB lensing from Planck PR4 maps

Accelerated Bayesian inference using deep learning


The NetHack Learning Environment

The NetHack Learning Environment

Learning with AMIGo: Adversarially Motivated Intrinsic Goals

BeBold: Exploration Beyond the Boundary of Explored Regions

WordCraft: An Environment for Benchmarking Commonsense Agents

Grounding Aleatoric Uncertainty for Unsupervised Environment Design

Dungeons and Data: A Large-Scale NetHack Dataset

Improving Policy Learning via Language Dynamics Distillation


Python library to handle Gene Ontology (GO) terms

GOATOOLS: A Python library for Gene Ontology analyses

Systemic adaptation of lipid metabolism in response to low- and high-fat diet in Nile tilapia (Oreochromis niloticus)

Transcriptome Analysis of the Hepatopancreas in the Pacific White Shrimp (Litopenaeus vannamei) under Acute Ammonia Stress

The host-pathogen interaction between wheat and yellow rust induces temporally coordinated waves of gene expression

Gene expression atlas for the food security crop cassava

Auxin response factor 6A regulates photosynthesis, sugar accumulation, and fruit development in tomato

De novo transcriptome sequencing and gene expression profiling of spinach (Spinacia oleracea L.) leaves under heat stress

Gonadal transcriptomic analysis and differentially expressed genes in the testis and ovary of the Pacific white shrimp (Litopenaeus vannamei)

Transcriptome analysis provides insights into the regulatory function of alternative splicing in antiviral immunity in grass carp (Ctenopharyngodon idella)

Exploration of the Effects of Different Blue LED Light Intensities on Flavonoid and Lipid Metabolism in Tea Plants via Transcriptomics and Metabolomics

International journal of molecular sciences


Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent

Scientific Machine Learning through Physics-Informed Neural Networks:
  Where we are and What's next

Neural Tangents: Fast and Easy Infinite Neural Networks in Python

The large learning rate phase of deep learning: the catapult mechanism

Provably efficient machine learning for quantum many-body problems

Dataset Distillation with Infinitely Wide Convolutional Networks

Explaining Neural Scaling Laws

Infinite attention: NNGP and NTK for deep attention networks

Bayesian Deep Ensembles via the Neural Tangent Kernel

On the infinite width limit of neural networks with a standard
  parameterization


Label, clean and enrich text datasets with LLMs.

ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

AnnoLLM: Making Large Language Models to Be Better Crowdsourced
  Annotators


DALL·E Mini - Generate images from a text prompt

Zero-Shot Text-to-Image Generation

Membership Inference Attacks Against Text-to-image Generation Models

Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models

MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation

Intriguing properties of synthetic images: from generative adversarial networks to diffusion models

Prompting AI Art: An Investigation into the Creative Skill of Prompt
  Engineering

A Review of Synthetic Image Data and Its Use in Computer Vision

Holistic Evaluation of Text-To-Image Models

Z-LaVI: Zero-Shot Language Solver Fueled by Visual Imagination

TISE: Bag of Metrics for Text-to-Image Synthesis Evaluation


HiCExplorer is a powerful and easy to use set of tools to process, normalize and visualize Hi-C data.

Cohesin residency determines chromatin loop patterns

Spatial organization of chromosomes leads to heterogeneous chromatin motion and drives the liquid- or gel-like dynamical behavior of chromatin

Revisiting the use of structural similarity index in Hi-C

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


Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

Zero-Shot Text-to-Image Generation

BEiT: BERT Pre-Training of Image Transformers

Reformer: The Efficient Transformer

LAION-5B: An open large-scale dataset for training next generation
  image-text models

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

DiT: Self-supervised Pre-training for Document Image Transformer

Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks

FairyTailor: A Multimodal Generative Framework for Storytelling

Training Transformers Together

Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art


R tools for Eurostat data

Retrieval and Analysis of Eurostat Open Data with the eurostat Package


An Open-Source Package for Knowledge Embedding (KE)

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

IEEE transactions on neural networks and learning systems

KG-BERT: BERT for Knowledge Graph Completion

OpenKE: An Open Toolkit for Knowledge Embedding

Empirical Methods in Natural Language Processing

Graph Learning: A Survey

IEEE transactions on artificial intelligence

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning

KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning

NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding

Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study

Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework

OWL2Vec*: Embedding of OWL Ontologies


Google Play Downloader via Command line

Third Party Tracking in the Mobile Ecosystem

Are iPhones Really Better for Privacy? Comparative Study of iOS and
  Android Apps

Before and after GDPR: tracking in mobile apps

A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps: A Case Study on Google Play Store

A Neural Embeddings Approach for Detecting Mobile Counterfeit Apps


A Neural Framework for MT Evaluation

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

Unsupervised Cross-lingual Representation Learning at Scale

Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond

COMET: A Neural Framework for MT Evaluation

Experts, Errors, and Context: A Large-Scale Study of Human Evaluation for Machine Translation

How Good Are GPT Models at Machine Translation? A Comprehensive
  Evaluation

To Ship or Not to Ship: An Extensive Evaluation of Automatic Metrics for Machine Translation

Encouraging Divergent Thinking in Large Language Models through
  Multi-Agent Debate

CometKiwi: IST-Unbabel 2022 Submission for the Quality Estimation Shared
  Task

Are References Really Needed? Unbabel-IST 2021 Submission for the Metrics Shared Task


Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series

A Deep Learning Framework Performance Evaluation to Use YOLO in Nvidia Jetson Platform

Run Your 3D Object Detector on NVIDIA Jetson Platforms:A Benchmark Analysis

Pedestrian detection model based on Tiny-Yolov3 architecture for wearable devices to visually impaired assistance

ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection

Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services


spellchecking library for python

Improving Grammatical Error Correction with Data Augmentation by Editing Latent Representation

International Conference on Computational Linguistics

Spelling Error Correction Using a Nested RNN Model and Pseudo Training Data

Context-Aware Social Media User Sentiment Analysis

Context-Sensitive Malicious Spelling Error Correction

Open Information Extraction from Question-Answer Pairs

HateMM: A Multi-Modal Dataset for Hate Video Classification

Out of vocabulary words decrease, running texts prevail and hashtags coalesce: Twitter as an evolving sociolinguistic system

“Are you kidding me?”: Detecting Unpalatable Questions on Reddit

Conference of the European Chapter of the Association for Computational Linguistics

A Syntax-Guided Grammatical Error Correction Model with Dependency Tree
  Correction

Exploring Natural Language Processing in Model-To-Model Transformations


Algebraic Multigrid Solvers in Python

Learning Algebraic Multigrid Using Graph Neural Networks

Surface multigrid via intrinsic prolongation

Mosaic flows: A transferable deep learning framework for solving PDEs on unseen domains

Poisson CNN: Convolutional neural networks for the solution of the Poisson equation on a Cartesian mesh

Attraction-Repulsion Spectrum in Neighbor Embeddings

LoopStructural 1.0: Time aware geological modelling

Deep Multigrid: learning prolongation and restriction matrices

Efficient low-order refined preconditioners for high-order matrix-free continuous and discontinuous Galerkin methods

Scalable atomistic simulations of quantum electron transport using empirical pseudopotentials

AMGNET: multi-scale graph neural networks for flow field prediction


An R package for stock-assessment simulation with Stock Synthesis


Easily compute clip embeddings and build a clip retrieval system with them

LAION-5B: An open large-scale dataset for training next generation
  image-text models

Multimodal datasets: misogyny, pornography, and malignant stereotypes.

CLIPstyler: Image Style Transfer with a Single Text Condition

Effective Data Augmentation With Diffusion Models

OpenShape: Scaling Up 3D Shape Representation Towards Open-World
  Understanding

Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis

Can Machines Help Us Answering Question 16 in Datasheets, and In Turn Reflecting on Inappropriate Content?

HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models

Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis

Reconstructing the Mind's Eye: fMRI-to-Image with Contrastive Learning
  and Diffusion Priors


A cancer immunotherapy tools suite

Accounting for proximal variants improves neoantigen prediction

Computational cancer neoantigen prediction: current status and recent advances

Immunogenomic analysis of human brain metastases reveals diverse immune landscapes across genetically distinct tumors


Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

pyAudioAnalysis: An Open-Source Python Library for Audio Signal Analysis

Emotion Based Hate Speech Detection using Multimodal Learning

Top-1 CORSMAL Challenge 2020 Submission: Filling Mass Estimation Using Multi-modal Observations of Human-robot Handovers

A Multimodal Adaptive Dialogue Manager for Depressive and Anxiety Disorder Screening: A Wizard-of-Oz Experiment

Audio Acoustic Features Based Tagging and Comparative Analysis of its Classifications

International Conference on Contemporary Computing

A novel multi-layer modular approach for real-time fuzzy-identification of gravitational-wave signals

Automatic Speech Recognition of Low-Resource Languages Based on Chukchi

Seamless Multimodal Biometrics for Continuous Personalised Wellbeing
  Monitoring


Toy UK windstorm model


SBOL Enhancement Proposals

The Synthetic Biology Open Language (SBOL) Version 3: Simplified Data Exchange for Bioengineering

Frontiers in bioengineering and biotechnology

Synthetic Biology Open Language (SBOL) Version 2.2.0

Synthetic Biology Open Language (SBOL) Version 2.3

BpForms and BcForms: a toolkit for concretely describing non-canonical polymers and complexes to facilitate global biochemical networks


Python Financial ENGineering (PyFENG package in PyPI.org)

A Black-Scholes user's guide to the Bachelier model

The equivalent constant-elasticity-of-variance (CEV) volatility of the stochastic-alpha-beta-rho (SABR) model

A note on the option price and 'Mass at zero in the uncorrelated SABR model and implied volatility asymptotics'


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

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

Wespeaker: A Research and Production oriented Speaker Embedding Learning
  Toolkit

SeamlessM4T: Massively Multilingual & Multimodal Machine Translation

Estonian Speech Recognition and Transcription Editing Service

Seamless: Multilingual Expressive and Streaming Speech Translation

AVATAR: Unconstrained Audiovisual Speech Recognition

OOD-Speech: A Large Bengali Speech Recognition Dataset for Out-of-Distribution Benchmarking

North America Bixby Speaker Diarization System for the VoxCeleb Speaker Recognition Challenge 2021

ParlaSpeech-HR - a Freely Available ASR Dataset for Croatian Bootstrapped from the ParlaMint Corpus

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


Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry

On Asymptotic Behaviors of Graph CNNs from Dynamical Systems Perspective

GraphNVP: An Invertible Flow Model for Generating Molecular Graphs

DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science

Graph Warp Module: an Auxiliary Module for Boosting the Power of Graph Neural Networks in Molecular Graph Analysis

ChemicalX: A Deep Learning Library for Drug Pair Scoring

Automated Theorem Proving in Intuitionistic Propositional Logic by Deep Reinforcement Learning

Graph Energy-based Model for Substructure Preserving Molecular Design

Molecular activity prediction using graph convolutional deep neural network considering distance on a molecular graph

AI-driven Inverse Design System for Organic Molecules.


A small speech recognizer

Preech: A System for Privacy-Preserving Speech Transcription

Prϵϵch: A System for Privacy-Preserving Speech Transcription

PROCEEDINGS OF THE 29TH USENIX SECURITY SYMPOSIUM

VGPN: Voice-Guided Pointing Robot Navigation for Humans

NUVA: A Naming Utterance Verifier for Aphasia Treatment

Challenges of Artificial Intelligence -- From Machine Learning and
  Computer Vision to Emotional Intelligence

ASTER: Automatic Speech Recognition System Accessibility Testing for Stutterers


:small_red_triangle: Ternary plotting library for python with matplotlib

Beyond variance reduction: Understanding the true impact of baselines on policy optimization

Lyapunov Functions for Time-Scale Dynamics on Riemannian Geometries of the Simplex

Cooperation in a fluid swarm of fuel-free micro-swimmers

Entropic dynamics on Gibbs statistical manifolds

Proceedings of Entropy 2021: The Scientific Tool of the 21st Century

A Priori Validation of Subgrid-scale Models for Astrophysical Turbulence


Framework for Easily Invertible Architectures

Guided Image Generation with Conditional Invertible Neural Networks

AdvFlow: Inconspicuous Black-box Adversarial Attacks using Normalizing Flows

Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification

Quantitative Comparison of Deep Learning-Based Image Reconstruction Methods for Low-Dose and Sparse-Angle CT Applications

Stabilizing Invertible Neural Networks Using Mixture Models

Stochastic Normalizing Flows for Inverse Problems: a Markov Chains Viewpoint

Explicit Boundary Guided Semi-Push-Pull Contrastive Learning for Supervised Anomaly Detection

normflows: A PyTorch Package for Normalizing Flows

RADYNVERSION: Learning to Invert a Solar Flare Atmosphere with Invertible Neural Networks

Generalized Normalizing Flows via Markov Chains


Track commercial fishing activity worldwide on the free, user-friendly, interactive Global Fishing Watch map.


A package for the sparse identification of nonlinear dynamical systems from data

Discovering governing equations from data by sparse identification of nonlinear dynamical systems

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

Sparse Identification of Nonlinear Dynamics with Control (SINDYc)

PySINDy: A Python package for the sparse identification of nonlinear dynamical systems from data

Ensemble-SINDy: Robust sparse model discovery in the low-data, high-noise limit, with active learning and control

A Unified Sparse Optimization Framework to Learn Parsimonious Physics-Informed Models From Data

PySINDy: A comprehensive Python package for robust sparse system identification

Discovery of Physics From Data: Universal Laws and Discrepancies

A Toolkit for Data-Driven Discovery of Governing Equations in High-Noise Regimes

PySINDy: A Python package for the Sparse Identification of Nonlinear Dynamics from Data

Data-driven discovery and extrapolation of parameterized pattern-forming dynamics


A fast medical imaging analysis library in Python

TransMorph: Transformer for unsupervised medical image registration

ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration

Recommendations for Processing Head CT Data

NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration

Deep learning-based quantification of temporalis muscle has prognostic value in patients with glioblastoma

Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label Fusion

NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification

A Library for fMRI Real-Time Processing Systems in Python (RTPSpy) With Comprehensive Online Noise Reduction, Fast and Accurate Anatomical Image Processing, and Online Processing Simulation

Unsupervised Multi-Modality Registration Network based on Spatially
  Encoded Gradient Information

ABN: Anti-Blur Neural Networks for Multi-Stage Deformable Image Registration


AIRR Community Data Standards

Adaptive Immune Receptor Repertoire Community recommendations for sharing immune-repertoire sequencing data

Reproducibility and Reuse of Adaptive Immune Receptor Repertoire Data

AIRR Community Standardized Representations for Annotated Immune Repertoires

The ADC API: A Web API for the Programmatic Query of the AIRR Data Commons


Official elastix repository

Accurate Localization of Linear Probe Electrode Arrays across Multiple Brains

Purkinje Cell Activity Determines the Timing of Sensory-Evoked Motor Initiation

M2aia—Interactive, fast, and memory-efficient analysis of 2D and 3D multi-modal mass spectrometry imaging data

larvalign: Aligning Gene Expression Patterns from the Larval Brain of Drosophila melanogaster

Axonal and Dendritic Morphology of Excitatory Neurons in Layer 2/3 Mouse Barrel Cortex Imaged Through Whole-Brain Two-Photon Tomography and Registered to a Digital Brain Atlas


glmmTMB

glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling

Modeling zero-inflated count data with glmmTMB

Loneliness, physical activity, and mental health during COVID-19: a longitudinal analysis of depression and anxiety in adults over the age of 50 between 2015 and 2020

What Makes a Link Successful on Wikipedia?

Pitfalls during in silico prediction of primer specificity for eDNA surveillance

Better together? How intergroup associations affect energy balance and feeding behavior in wild bonobos

Biases in parasite biodiversity research: why some helminth species attract more research than others

International journal for parasitology. Parasites and wildlife

Knowing the fishery to know the bycatch: bias-corrected estimates of harbour porpoise bycatch in gillnet fisheries

Remote sensing in seagrass ecology: coupled dynamics between migratory herbivorous birds and intertidal meadows observed by satellite during four decades

Remote sensing in ecology and conservation

They Talk Muṯumuṯu: Variable Elision of Tense Suffixes in Contemporary Pitjantjatjara


Lightning fast C++/CUDA neural network framework

Instant neural graphics primitives with a multiresolution hash encoding

Extracting Triangular 3D Models, Materials, and Lighting From Images

Nerfstudio: A Modular Framework for Neural Radiance Field Development

Real-time neural radiance caching for path tracing

SPIn-NeRF: Multiview Segmentation and Perceptual Inpainting with Neural Radiance Fields

HumanRF: High-Fidelity Neural Radiance Fields for Humans in Motion

Orbeez-SLAM: A Real-time Monocular Visual SLAM with ORB Features and NeRF-realized Mapping

Human Performance Modeling and Rendering via Neural Animated Mesh

DiffusioNeRF: Regularizing Neural Radiance Fields with Denoising Diffusion Models

Interactive Volume Visualization via Multi-Resolution Hash Encoding
  based Neural Representation


Common repository for example datasets used by Vega-related projects

An Evaluation-Focused Framework for Visualization Recommendation Algorithms

MultiVision: Designing Analytical Dashboards with Deep Learning Based Recommendation

LIDA: A Tool for Automatic Generation of Grammar-Agnostic Visualizations and Infographics using Large Language Models

DashBot: Insight-Driven Dashboard Generation Based on Deep Reinforcement
  Learning

Why is AI not a Panacea for Data Workers? An Interview Study on Human-AI
  Collaboration in Data Storytelling

Notable: On-the-fly Assistant for Data Storytelling in Computational Notebooks

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Machine Learning for Visualization Recommendation Systems: Open
  Challenges and Future Directions


DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome

A universal SNP and small-indel variant caller using deep neural networks

SARS-CoV-2 variants show resistance to neutralization by many monoclonal and serum-derived polyclonal antibodies

A draft human pangenome reference

Advancing Personalized Medicine Through the Application of Whole Exome Sequencing and Big Data Analytics

Haplotype-aware variant calling with PEPPER-Margin-DeepVariant enables high accuracy in nanopore long-reads

Benchmarking challenging small variants with linked and long reads

Accurate, scalable cohort variant calls using DeepVariant and GLnexus

Semi-automated assembly of high-quality diploid human reference genomes

From molecules to genomic variations: Accelerating genome analysis via intelligent algorithms and architectures

Computational and structural biotechnology journal


Experimentation procedure for Iterative Optimization Heuristics

IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics

IOHexperimenter: Benchmarking Platform for Iterative Optimization Heuristics

Extensible Logging and Empirical Attainment Function for IOHexperimenter


ChIP-seq peak-calling, QC and differential analysis pipeline.

Dynamic transcriptional reprogramming leads to immunotherapeutic vulnerabilities in myeloma

Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters

International Conference on Statistical and Scientific Database Management

A distinct core regulatory module enforces oncogene expression in KMT2A-rearranged leukemia

Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures

LncRNA TCONS_00323213 Promotes Myogenic Differentiation by Interacting with PKNOX2 to Upregulate MyoG in Porcine Satellite Cells

International journal of molecular sciences

Injury primes mutation-bearing astrocytes for dedifferentiation in later life

Leukemia core transcriptional circuitry is a sparsely interconnected hierarchy stabilized by incoherent feed-forward loops

bioRxiv : the preprint server for biology

Integrated 3D genome, epigenome and transcriptome analyses reveal transcriptional coordination of circadian rhythm in rice

Transcriptional determinants of lipid mobilization in human adipocytes

Lotaru: Locally predicting workflow task runtimes for resource management on heterogeneous infrastructures


Objax is a machine learning framework that provides an Object Oriented layer for JAX.

Opacus: User-Friendly Differential Privacy Library in PyTorch

AdaMatch: A Unified Approach to Semi-Supervised Learning and Domain
  Adaptation

An Attack on InstaHide: Is Private Learning Possible with Instance Encoding?

Equinox: neural networks in JAX via callable PyTrees and filtered
  transformations

Handcrafted Backdoors in Deep Neural Networks

FedJAX: Federated learning simulation with JAX

GPJax: A Gaussian Process Framework in JAX

Reconciling AI Performance and Data Reconstruction Resilience for
  Medical Imaging


PyTorch ,ONNX and TensorRT implementation of YOLOv4

YOLOv4: Optimal Speed and Accuracy of Object Detection

Vision-based bicycle and motorcycle detection using a YOLO-based Network

Adversarial Semantic Contour for Object Detection

Diffusion to Confusion: Naturalistic Adversarial Patch Generation Based
  on Diffusion Model for Object Detector


Siphon - A collection of Python utilities for retrieving atmospheric and oceanic data from remote sources, focusing on being able to retrieve data from Unidata data technologies, such as the THREDDS data server.

Advanced Cyberinfrastructure to Enable Search of Big Climate Datasets in THREDDS

ISPRS international journal of geo-information


Interface to the Mosek solver in Julia

Safe Feedback Motion Planning: A Contraction Theory and ℒ_1-Adaptive Control Based Approach

Power Market Tool (POMATO) for the Analysis of Zonal Electricity Markets

Exact SDP relaxations for quadratic programs with bipartite graph structures

Electricity and Reserve Pricing in Chance-Constrained Electricity Markets with Asymmetric Balancing Reserve Policies.


Distributed Deep learning with Keras & Spark

Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent

Opportunities and obstacles for deep learning in biology and medicine

Fast and scalable distributed deep convolutional autoencoder for fMRI big data analytics

Real-time pneumonia prediction using pipelined spark and high-performance computing


SOTA Re-identification Methods and Toolbox

FastReID: A Pytorch Toolbox for General Instance Re-identification

Group-aware Label Transfer for Domain Adaptive Person Re-identification

Partial FC: Training 10 Million Identities on a Single Machine

Re-ID Driven Localization Refinement for Person Search

Unsupervised Pre-training for Person Re-identification

Guided Saliency Feature Learning for Person Re-identification in Crowded Scenes

TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification

Black Re-ID: A Head-shoulder Descriptor for the Challenging Problem of Person Re-Identification

Moving Towards Centers: Re-Ranking With Attention and Memory for Re-Identification

Semi-Supervised Domain Generalizable Person Re-Identification


A toolbox of OCR models, algorithms, and pipelines based on MindSpore

An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

EAST: An Efficient and Accurate Scene Text Detector

Shape Robust Text Detection with Progressive Scale Expansion Network

Real-time Scene Text Detection with Differentiable Binarization

Robust Scene Text Recognition with Automatic Rectification

Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition

Fourier Contour Embedding for Arbitrary-Shaped Text Detection

MASTER: Multi-Aspect Non-local Network for Scene Text Recognition

From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network

SVTR: Scene Text Recognition with a Single Visual Model


:speech_balloon: Speech recognition for your site

Building blocks for commodity augmented reality-based molecular visualization and modeling in web browsers

Towards Commodity, Web-Based Augmented Reality Applications for Research and Education in Chemistry and Structural Biology.

Multi-Modal End-User Programming of Web-Based Virtual Assistant Skills


Data augmentation for NLP

Character-level Convolutional Networks for Text Classification

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

On the Opportunities and Risks of Foundation Models

SimCSE: Simple Contrastive Learning of Sentence Embeddings

EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Adversarial Examples for Evaluating Reading Comprehension Systems

Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

HotFlip: White-Box Adversarial Examples for Text Classification

Generating Natural Language Adversarial Examples

Synthetic and Natural Noise Both Break Neural Machine Translation


Module for statistical learning, with a particular emphasis on time-dependent modelling

Uncovering Causality from Multivariate Hawkes Integrated Cumulants

Tick: a Python library for statistical learning, with a particular emphasis on time-dependent modelling

Self-Attentive Hawkes Processes

Sparse and low-rank multivariate Hawkes processes

Learning Hawkes Processes from a Handful of Events

Analysis of order book flows using a non-parametric estimation of the branching ratio matrix

ConvSCCS: convolutional self-controlled case series model for lagged adverse event detection

Exploring Generative Neural Temporal Point Process

THAP: A Matlab Toolkit for Learning with Hawkes Processes

Fast Estimation of Causal Interactions using Wold Processes


Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.

LLaMA: Open and Efficient Foundation Language Models

LoRA: Low-Rank Adaptation of Large Language Models

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init
  Attention

LLM360: Towards Fully Transparent Open-Source LLMs

Knowledge Graph Prompting for Multi-Document Question Answering

LLaMA-Reviewer: Advancing Code Review Automation with Large Language Models through Parameter-Efficient Fine-Tuning

Making Network Configuration Human Friendly


Shadow is a discrete-event network simulator that directly executes real application code, enabling you to simulate distributed systems with thousands of network-connected processes in realistic and scalable private network experiments using your laptop, desktop, or server running Linux.

Avoiding The Man on the Wire: Improving Tor's Security with Trust-Aware Path Selection

Once is Never Enough: Foundations for Sound Statistical Inference in Tor Network Experimentation


A faster pytorch implementation of faster r-cnn

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

Rethinking the Value of Network Pruning

Graph R-CNN for Scene Graph Generation

Unbiased Mean Teacher for Cross-domain Object Detection

Co-Separating Sounds of Visual Objects

Towards Universal Object Detection by Domain Attention

Differentiable Learning-to-Normalize via Switchable Normalization

Borrow From Anywhere: Pseudo Multi-Modal Object Detection in Thermal Imagery

Probabilistic Object Detection: Definition and Evaluation

Pedestrian Detection in Thermal Images using Saliency Maps


Code for the paper Hybrid Spectrogram and Waveform Source Separation

Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation

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

Music Source Separation in the Waveform Domain

Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed

Hybrid Transformers for Music Source Separation

CWS-PResUNet: Music Source Separation with Channel-wise Subband
  Phase-aware ResUNet

Seamless: Multilingual Expressive and Streaming Speech Translation

Multi-Task Audio Source Separation

Laughter Synthesis using Pseudo Phonetic Tokens with a Large-scale
  In-the-wild Laughter Corpus

The Sound Demixing Challenge 2023 x2013 Music Demixing Track


One Class Splitting Criteria for Random Forests

Revisiting randomized choices in isolation forests

A Meta-level Analysis of Online Anomaly Detectors


:clipboard: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset

LinkBERT: Pretraining Language Models with Document Links

BioELECTRA:Pretrained Biomedical text Encoder using Discriminators

Workshop on Biomedical Natural Language Processing

Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning

COVID-19 research risks ignoring important host genes due to pre-established research patterns

The MeSH-gram Neural Network Model: Extending Word Embedding Vectors with MeSH Concepts for UMLS Semantic Similarity and Relatedness in the Biomedical Domain

Enriching Biomedical Knowledge for Low-resource Language Through Large-scale Translation

A Personalized Machine-Learning-enabled Method for Efficient Research in Ethnopharmacology. The case of Southern Balkans and Coastal zone of Asia Minor


Dai Stablecoin System

Clockwork Finance: Automated Analysis of Economic Security in Smart Contracts

A Blockchain Ontology for DApps Development

CroCoDai: A Stablecoin for Cross-Chain Commerce


Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow.  This is part of the CASL project: http://casl-project.ai/

Toward Controlled Generation of Text

Unsupervised Text Style Transfer using Language Models as Discriminators

Explaining The Efficacy of Counterfactually Augmented Data

Texar: A Modularized, Versatile, and Extensible Toolkit for Text Generation

Structured Content Preservation for Unsupervised Text Style Transfer

Enhancing Content Preservation in Text Style Transfer Using Reverse Attention and Conditional Layer Normalization

Connecting the Dots Between MLE and RL for Sequence Prediction

DialogueBERT: A Self-Supervised Learning based Dialogue Pre-training Encoder


a Medical Genetics Sequence Analysis Pipeline

Multi-omics discovery of exome-derived neoantigens in hepatocellular carcinoma

MDM2, MDM4 and EGFR Amplifications and Hyperprogression in Metastatic Acral and Mucosal Melanoma

Distinct Mutation Patterns Reveal Melanoma Subtypes and Influence Immunotherapy Response in Advanced Melanoma Patients

First-line exome sequencing in Palestinian and Israeli Arabs with neurological disorders is efficient and facilitates disease gene discovery

European journal of human genetics : EJHG

Disruption of MeCP2–TCF20 complex underlies distinct neurodevelopmental disorders

First submicroscopic inversion of the OPA1 gene identified in dominant optic atrophy – a case report

Investigating the effects of additional truncating variants in DNA-repair genes on breast cancer risk in BRCA1-positive women

Transcriptional and Mutational Profiling of B-Other Acute Lymphoblastic Leukemia for Improved Diagnostics

First Record Mutations in the Genes ASPA and ARSA Causing Leukodystrophy in Jordan

Autosomal Dominant Gyrate Atrophy-Like Choroidal Dystrophy Revisited: 45 Years Follow-Up and Association with a Novel C1QTNF5 Missense Variant


MicroPython libraries and examples that work out of the box on Pycom's IoT modules

Decentralized spectrum learning for radio collision mitigation in ultra-dense IoT networks: LoRaWAN case study and experiments

Annals of telecommunications/Annales des télécommunications

Decentralized Spectrum Learning for IoT Wireless Networks Collision Mitigation

Democratization of PV Micro-Generation System Monitoring Based on Narrowband-IoT


BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）

A Survey of Large Language Models

Exploring the Impact of Instruction Data Scaling on Large Language
  Models: An Empirical Study on Real-World Use Cases

Secrets of RLHF in Large Language Models Part I: PPO

LMFlow: An Extensible Toolkit for Finetuning and Inference of Large
  Foundation Models

Benchmarking Large Language Models in Retrieval-Augmented Generation

MemoryBank: Enhancing Large Language Models with Long-Term Memory

Exploring ChatGPT's Ability to Rank Content: A Preliminary Study on
  Consistency with Human Preferences

Chinese Open Instruction Generalist: A Preliminary Release

M3KE: A Massive Multi-Level Multi-Subject Knowledge Evaluation Benchmark
  for Chinese Large Language Models

Towards Better Instruction Following Language Models for Chinese:
  Investigating the Impact of Training Data and Evaluation


The xAPI Specification describes communication about learner activity and experiences between technologies.

A Cloud Game-Based Educative Platform Architecture: The CyberScratch Project

Taking Informed Action on Student Activity in MOOCs

PROCEEDINGS OF THE FOURTH (2017) ACM CONFERENCE ON LEARNING @ SCALE (L@S'17)

Parametrizable exercise generation from authentic texts: Effectively targeting the language means on the curriculum

Workshop on Innovative Use of NLP for Building Educational Applications

Enriching context descriptions for enhanced LA scalability: a case study

Research and practice in technology enhanced learning/Research and practice in technology enchanced learning


Intel staging area for llvm.org contribution. Home for Intel LLVM-based projects.

Accelerating Encrypted Computing on Intel GPUs

C-for-Metal: High Performance SIMD Programming on Intel GPUs

Achieving Near-Native Runtime Performance and Cross-Platform Performance Portability for Random Number Generation Through SYCL Interoperability

Tunable and Portable Extreme-Scale Drug Discovery Platform at Exascale: the LIGATE Approach

Proceedings of the 20th ACM International Conference on Computing Frontiers

A Performance-Portable SYCL Implementation of CRK-HACC for Exascale


Official code repository for GATK versions 1.0 through 3.7 (core engine). For GATK 4 code, see the https://github.com/broadinstitute/gatk repository

Whole genome characterization of sequence diversity of 15,220 Icelanders

A genome-wide meta-analysis yields 46 new loci associating with biomarkers of iron homeostasis

Computational analysis of genetic variation

Genetic variants associated with platelet count are predictive of human disease and physiological markers

Population-level deficit of homozygosity unveils CPSF3 as an intellectual disability syndrome gene

Whole-exome sequencing analysis to identify novel potential pathogenetic mutations in fetuses with abnormal brain structure


UQpy (Uncertainty Quantification with python) is a general purpose Python toolbox for modeling uncertainty in physical and mathematical systems.

Modern Monte Carlo methods for efficient uncertainty quantification and propagation: A survey

UQpy: A general purpose Python package and development environment for uncertainty quantification

Korali: Efficient and scalable software framework for Bayesian uncertainty quantification and stochastic optimization

UQpy v4.1: Uncertainty Quantification with Python

Korali: a High-Performance Computing Framework for Stochastic Optimization and Bayesian Uncertainty Quantification.

Reliable Visual Analytics, a Prerequisite for Outcome Assessment of Engineering Systems

Imprecise subset simulation


A library for numerical weather prediction and climate modelling


egg is a flexible, high-performance e-graph library

egg: Fast and Extensible Equality Saturation

Searching entangled program spaces

Version Space Algebras are Acyclic Tree Automata.

Automated Code Optimization with E-Graphs


High-performance reactive message-passing based Bayesian inference engine

Reactive Message Passing for Scalable Bayesian Inference

A Bayesian Modeling Approach to Situated Design of Personalized Soundscaping Algorithms

AIDA: An Active Inference-Based Design Agent for Audio Processing Algorithms


ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual–Inertial, and Multimap SLAM

A Review of Visual-Inertial Simultaneous Localization and Mapping from Filtering-Based and Optimization-Based Perspectives

CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge

Experiments in Fast, Autonomous, GPS-Denied Quadrotor Flight

An open‐source system for vision‐based micro‐aerial vehicle mapping, planning, and flight in cluttered environments

Visual-Inertial Odometry of Aerial Robots

The ETH-MAV Team in the MBZ International Robotics Challenge

Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview
  and Lessons Learned

Visual-Inertial Indoor Navigation Systems and Algorithms for UAV Inspection Vehicles


An API for easily incorporating the D-Wave system as a sampler, either directly or through Leap's cloud-based hybrid samplers

Open source software in quantum computing

Solving the Traveling Salesman Problem on the D-Wave Quantum Computer

Improving Quantum Annealing Performance on Embedded Problems

Supercomputing frontiers and innovations


Tools to make weather data accessible and useful.


A Python library for learning and evaluating knowledge graph embeddings

Complex Embeddings for Simple Link Prediction

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

IEEE transactions on neural networks and learning systems

Systematic integration of biomedical knowledge prioritizes drugs for repurposing

Learning to Represent Knowledge Graphs with Gaussian Embedding

International Conference on Information and Knowledge Management

PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings

Building a knowledge graph to enable precision medicine

Bringing Light Into the Dark: A Large-scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework

PharmKG: a dedicated knowledge graph benchmark for bomedical data mining

Message Passing for Hyper-Relational Knowledge Graphs

LibKGE - A knowledge graph embedding library for reproducible research

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING: SYSTEM DEMONSTRATIONS


Projections of COVID-19, in standardized format

Evaluating epidemic forecasts in an interval format

A Review of Multi-Compartment Infectious Disease Models

International statistical review = Revue internationale de statistique

An Economist's Guide to Epidemiology Models of Infectious Disease

The journal of economic perspectives/The Journal of economic perspectives

Hawkes process modeling of COVID-19 with mobility leading indicators and spatial covariates

The United States COVID-19 Forecast Hub dataset

Interpretable Sequence Learning for COVID-19 Forecasting

Combining probabilistic forecasts of COVID-19 mortality in the United States

European journal of operational research

Inter-Series Attention Model for COVID-19 Forecasting

SIMLR: Machine Learning inside the SIR model for COVID-19 Forecasting

A spatiotemporal machine learning approach to forecasting COVID-19 incidence at the county level in the USA


ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型

GLM: General Language Model Pretraining with Autoregressive Blank Infilling

GLM-130B: An Open Bilingual Pre-trained Model

A Survey of the Evolution of Language Model-Based Dialogue Systems

Understanding LLMs: A Comprehensive Overview from Training to Inference

Comprehensive Assessment of Jailbreak Attacks Against LLMs

A Survey on Recent Advances in LLM-Based Multi-turn Dialogue Systems

Conversational Recommender System and Large Language Model Are Made for Each Other in E-commerce Pre-sales Dialogue

AviationGPT: A Large Language Model for the Aviation Domain

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


Learning in infinite dimension with neural operators.

Fourier Neural Operator for Parametric Partial Differential Equations

Neural Operator: Learning Maps Between Function Spaces

Choose a Transformer: Fourier or Galerkin

Transformer for Partial Differential Equations' Operator Learning

Mitigating spectral bias for the multiscale operator learning with
  hierarchical attention

IAE-Net: Integral Autoencoders for Discretization-Invariant Learning

Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators

Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs

Learning in latent spaces improves the predictive accuracy of deep
  neural operators

Speeding up Fourier Neural Operators via Mixed Precision


Research using Cirq!

Hartree-Fock on a superconducting qubit quantum computer

Quantum approximate optimization of non-planar graph problems on a planar superconducting processor

Quantum advantage in learning from experiments

Designing Calibration and Expressivity-Efficient Instruction Sets for Quantum Computing

International Symposium on Computer Architecture


Idealized GCM from the University of Exeter

The effects of gravity on the climate and circulation of a terrestrial planet

Quarterly journal of the Royal Meteorological Society

Atmospheric Circulation and Thermal Phase-curve Offset of Tidally and Nontidally Locked Terrestrial Exoplanets

qgs: A flexible Python framework of reduced-order multiscale climate models

SimCloud version 1.0: a simple diagnostic cloud scheme for idealized climate models

Collapse of the General Circulation in Shortwave-absorbing Atmospheres: An Idealized Model Study

Reduced terrestrial evaporation increases atmospheric water vapor by generating cloud feedbacks


A python module that wraps the pdftoppm utility to convert PDF to PIL Image object

PubLayNet: largest dataset ever for document layout analysis

Tablext: A Combined Neural Network And Heuristic Based Table Extractor

V-Doc : Visual questions answers with Documents

Not All Titles are Created Equal: Financial Document Structure Extraction Shared Task

German Parliamentary Corpus (GerParCor)


DSMR-telegram reader & data visualizer for hobbyists. Free for non-commercial use.


An extension of the Flexible Collision Library

Collision Detection Accelerated: An Optimization Perspective

Differentiable Collision Detection: a Randomized Smoothing Approach

Contact Models in Robotics: a Comparative Analysis


Python library for supernova cosmology

Sifting for Sapphires: Systematic Selection of Tidal Disruption Events in iPTF

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

SALT3-NIR: Taking the Open-source Type Ia Supernova Model to Longer Wavelengths for Next-generation Cosmological Measurements

Out of One, Many: Distinguishing Time Delays from Lensed Supernovae

Deep learning unresolved lensed light curves

Monthly notices of the Royal Astronomical Society


Bayesian haplotype-based genetic polymorphism discovery and genotyping.

Haplotype-based variant detection from short-read sequencing

A comprehensive assessment of somatic mutation detection in cancer using whole-genome sequencing

Whole genome sequencing in clinical and public health microbiology

De novo variants in neurodevelopmental disorders with epilepsy

Chromosome-scale genome assembly provides insights into rye biology, evolution and agronomic potential

Discovery of MRSA active antibiotics using primary sequence from the human microbiome

The evolution and population diversity of human-specific segmental duplications

A cell-based model system links chromothripsis with hyperploidy

Comparing a few SNP calling algorithms using low-coverage sequencing data

Sarek: A portable workflow for whole-genome sequencing analysis of germline and somatic variants


Python library for Representational Similarity Analysis

Beyond core object recognition: Recurrent processes account for object recognition under occlusion

Value generalization in human avoidance learning

Comparing representational geometries using whitened unbiased-distance-matrix similarity

Statistical inference on representational geometries

Stability of motor representations after paralysis

Shared neural representations and temporal segmentation of political content predict ideological similarity

S1 represents multisensory contexts and somatotopic locations within and outside the bounds of the cortical homunculus

Evidence for shared conceptual representations for sign and speech

Does Ipsilateral Remapping Following Hand Loss Impact Motor Control of the Intact Hand?

The journal of neuroscience/The Journal of neuroscience


C library for finding and handling crystal symmetries

: a software library for crystal symmetry search

Expansion of the Materials Cloud 2D Database

Algorithms for magnetic symmetry operation search and identification of
  magnetic space group from magnetic crystal structure

Two-dimensional altermagnets from high throughput computational
  screening: symmetry requirements, chiral magnons and spin-orbit effects

Algorithm for spin symmetry operation search


A promise library for JavaScript

MARZ: Manual and Automatic Redshifting Software

Stubbifier: Debloating Dynamic Server-Side JavaScript Applications


Stellarator Equilibrium and Optimization Suite

The DESC stellarator code suite Part 3: Quasi-symmetry optimization

The DESC Stellarator Code Suite Part I: Quick and accurate equilibria
  computations

The DESC Stellarator Code Suite Part II: Perturbation and continuation
  methods


MuJoCo is a physics engine for detailed, efficient rigid body simulations with contacts. mujoco-py allows using MuJoCo from Python 3.

Nengo and low-power AI hardware for robust, embedded neurorobotics

Fault-Tolerant Federated Reinforcement Learning with Theoretical Guarantee

DoorGym: A Scalable Door Opening Environment And Baseline Agent

Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning

Conditioning Sparse Variational Gaussian Processes for Online Decision-making

Learning Sparse Rewarded Tasks from Sub-Optimal Demonstrations

Self-Adaptive Imitation Learning: Learning Tasks with Delayed Rewards from Sub-optimal Demonstrations

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

Deep Generative Models for Decision-Making and Control


Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

Deep Residual Learning for Image Recognition

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

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Learning Transferable Visual Models From Natural Language Supervision

A ConvNet for the 2020s

CNN Architectures for Large-Scale Audio Classification

BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

TSM: Temporal Shift Module for Efficient Video Understanding

Is Space-Time Attention All You Need for Video Understanding?

Swin Transformer V2: Scaling Up Capacity and Resolution


Setup, customize, and control FarmBot from any device


DDSP: Differentiable Digital Signal Processing

Hierarchical Timbre-Painting and Articulation Generation

A Review of Differentiable Digital Signal Processing for Music & Speech
  Synthesis

MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models


Succinct Data Structure Library 2.0

From Theory to Practice: Plug and Play with Succinct Data Structures

Fully Functional Suffix Trees and Optimal Text Searching in BWT-Runs Bounded Space

Journal of the Association for Computing Machinery

Variable-Order de Bruijn Graphs

Refining the r-index

Hybrid indexes for repetitive datasets

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

GraCT: A Grammar-based Compressed Index for Trajectory Data

CiNCT: Compression and Retrieval for Massive Vehicular Trajectories via Relative Movement Labeling

Grammar-Compressed Indexes with Logarithmic Search Time

Linear Time Construction of Indexable Founder Block Graphs

Faster Repetition-Aware Compressed Suffix Trees based on Block Trees


TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

How Attentive are Graph Attention Networks?

GraphWorld: Fake Graphs Bring Real Insights for GNNs

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

TF-GNN: Graph Neural Networks in TensorFlow


A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum computers.

QuantumNAS: Noise-Adaptive Search for Robust Quantum Circuits

QuantumNAT: Quantum Noise-Aware Training with Noise Injection,
  Quantization and Normalization

QOC: Quantum On-Chip Training with Parameter Shift and Gradient Pruning

QuEst: Graph Transformer for Quantum Circuit Reliability Estimation


NUOPC Community Mediator for Earth Prediction Systems


Instruct-tune LLaMA on consumer hardware

LoRA: Low-Rank Adaptation of Large Language Models

A Survey of Large Language Models

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init
  Attention

Baize: An Open-Source Chat Model with Parameter-Efficient Tuning on Self-Chat Data

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond

Principle-Driven Self-Alignment of Language Models from Scratch with
  Minimal Human Supervision

TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

Aligning Large Language Models with Human: A Survey

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

Composing Parameter-Efficient Modules with Arithmetic Operations


Non-Intrusive Load Monitoring Toolkit (nilmtk)

NILMTK: An Open Source Toolkit for Non-intrusive Load Monitoring

International Conference on Future Energy Systems

An electrical load measurements dataset of United Kingdom households from a two-year longitudinal study

Unsupervised algorithm for disaggregating low-sampling-rate electricity consumption of households

Analysis Co-Sparse Coding for Energy Disaggregation

Noiseless Privacy: Definition, Guarantees, and Applications

Recurrent Transform Learning

Investigating the performance gap between testing on real and denoised aggregates in non-intrusive load monitoring


The Ocean Navigator is an online tool that is used to help visualise scientific research data. a users guide is available at https://dfo-ocean-navigator.github.io/Ocean-Navigator-Manual/ and the tool is live at


Open source 5G UE and RAN (gNodeB) implementation.

Tutorial on communication between access networks and the 5G core

Accelerating Handover in Mobile Satellite Network

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

A Cloud-Edge Continuum Experimental Methodology Applied to a 5G Core
  Study