Library for collision detection between two convex shapes

Relaxed-Rigidity Constraints: Kinematic Trajectory Optimization and Collision Avoidance for In-Grasp Manipulation

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

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

Contact Models in Robotics: a Comparative Analysis


Gradient Unwarping in Python

Mapping Short Association Fibers in the Early Cortical Visual Processing Stream Using In Vivo Diffusion Tractography

The impact of B1+ correction on MP2RAGE cortical T1 and apparent cortical thickness at 7T

A massive 7T fMRI dataset to bridge cognitive and computational neuroscience

Same Brain, Different Look? – the Impact of Scanner, Sequence and Preprocessing on Diffusion Imaging Outcome Parameters

High-resolution quantitative and functional MRI indicate lower myelination of thin and thick stripes in human secondary visual cortex

CHIASM, the human brain albinism and achiasma MRI dataset

Multi-scale structural alterations of the thalamus and basal ganglia in focal epilepsy using 7T MRI


Code for geophysical 3D/2D Finite Difference modelling, Marchenko algorithms, 2D/3D x-w migration and utilities.

Monitoring induced distributed double-couple sources using Marchenko-based virtual receivers

Virtual Sources and Receivers in the Real Earth: Considerations for Practical Applications

Journal of Geophysical Research: Solid Earth

Virtual acoustics in inhomogeneous media with single-sided access

3D Marchenko applications: implementation and examples

3-D Virtual Seismology

IEEE Transactions on Geoscience and Remote Sensing

Virtual sources and receivers in the real Earth, a method for induced seismicity monitoring


Letswave 6 - Matlab EEG signal processing toolbox

ERP mismatch response to phonological and temporal regularities in speech

Neurophysiological evidence for crossmodal (face-name) person-identity representation in the human left ventral temporal cortex

Linking neurophysiological processes of action monitoring to post-response speed-accuracy adjustments in a neuro-cognitive diffusion model

Multimodal Neuroimaging Predictors of Learning Performance of Sensorimotor Rhythm Up-Regulation Neurofeedback

Differences in own-face but not own-name discrimination between autistic and neurotypical adults: A fast periodic visual stimulation-EEG study

Cortex; a journal devoted to the study of the nervous system and behavior

Hallucination Proneness Alters Sensory Feedback Processing in Self-voice Production

Linguistic and attentional factors – not statistical regularities – contribute to word-selective neural responses with FPVS-oddball paradigms


Kernel Density Estimation in Python

Efficient statistical classification of satellite measurements

Metal-enriched halo gas across galaxy overdensities over the last 10 billion years

Monthly Notices of the Royal Astronomical Society

Mass-sensitive particle tracking (MSPT) to elucidate the membrane-associated MinDE reaction cycle

Antibacterial peptide CyclomarinA creates toxicity by deregulating the Mycobacterium tuberculosis ClpC1–ClpP1P2 protease

The Distribution of Pelvic Nodal Metastases in Prostate Cancer Reveals Potential to Advance and Personalize Pelvic Radiotherapy

Parameter Estimation for RANS Models Using Approximate Bayesian Computation


Differentiable Vector Graphics Rasterization

Differentiable vector graphics rasterization for editing and learning

Neural Style Transfer for Vector Graphics

SVGCraft: Beyond Single Object Text-to-SVG Synthesis with Comprehensive
  Canvas Layout


A unified evaluation framework for large language models

PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts

DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks

PromptBench: A Unified Library for Evaluation of Large Language Models

DyVal 2: Dynamic Evaluation of Large Language Models by Meta Probing
  Agents

Stealthy Attack on Large Language Model based Recommendation

Open Problems in Technical AI Governance

Diffusion of Thoughts: Chain-of-Thought Reasoning in Diffusion Language
  Models


Climate indices for drought monitoring

A quantitative evaluation of the issue of drought definition: a source of disagreement in future drought assessments

Effects of dry spells on soil moisture and yield anomalies at a montane managed grassland site: A lysimeter climate experiment

Projected changes in synoptic circulations over Europe and their implications for summer precipitation: A CMIP6 perspective

Drought dynamics in the East European Plain for the period 1980-2018


Annotation-free quantification of RNA splicing. Yang I. Li, David A. Knowles, Jack Humphrey, Alvaro N. Barbeira, Scott P. Dickinson, Hae Kyung Im, Jonathan K. Pritchard

Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer’s disease susceptibility

Molecular and functional variation in iPSC-derived sensory neurons

LeafCutter: annotation-free quantification of RNA splicing

Splicing QTL analysis focusing on coding sequences reveals mechanisms for disease susceptibility loci

High-Throughput Sequencing in Respiratory, Critical Care, and Sleep Medicine Research. An Official American Thoracic Society Workshop Report

Implications of Antigen Selection on T Cell-Based Immunotherapy

Integrative Proteogenomics for Differential Expression and Splicing Variation in a DM1 Mouse Model


An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & Mixtral)

Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO

Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment

Aligning to Thousands of Preferences via System Message Generalization

OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework

Aligning Language Models with Offline Learning from Human Feedback

ReaLHF: Optimized RLHF Training for Large Language Models through Parameter Reallocation


A collection of reference environments for offline reinforcement learning

Conservative Q-Learning for Offline Reinforcement Learning

D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Offline Reinforcement Learning as One Big Sequence Modeling Problem

Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning

Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble

Q-learning Decision Transformer: Leveraging Dynamic Programming for Conditional Sequence Modelling in Offline RL

Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning

Continual Learning of Control Primitives: Skill Discovery via Reset-Games

Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification

Bootstrapped Transformer for Offline Reinforcement Learning


Julia package for tensor contractions and related operations

Hand-waving and interpretive dance: an introductory course on tensor networks

Journal of Physics A: Mathematical and Theoretical

Developments in the Tensor Network — from Statistical Mechanics to Quantum Entanglement

QuantumInformation.jl—A Julia package for numerical computation in quantum information theory

TeNeS: Tensor network solver for quantum lattice systems

Numerical evaluation of spin foam amplitudes beyond simplices

Zenodo (CERN European Organization for Nuclear Research)

Highly accurate electronic structure of metallic solids from coupled-cluster theory with nonperturbative triple excitations


A Database of Real Faults and an Experimental Infrastructure to Enable Controlled Experiments in Software Engineering Research

Machine Learning Testing: Survey, Landscapes and Horizons

TBar: Revisiting Template-based Automated Program Repair

PROCEEDINGS OF THE 28TH ACM SIGSOFT INTERNATIONAL SYMPOSIUM ON SOFTWARE TESTING AND ANALYSIS (ISSTA '19)

FixMiner: Mining relevant fix patterns for automated program repair

ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming

AVATAR: Fixing Semantic Bugs with Fix Patterns of Static Analysis Violations

Deep Learning for Source Code Modeling and Generation: Models, Applications, and Challenges

You Cannot Fix What You Cannot Find! An Investigation of Fault Localization Bias in Benchmarking Automated Program Repair Systems

BugSwarm: Mining and Continuously Growing a Dataset of Reproducible Failures and Fixes

DEAR: A Novel Deep Learning-based Approach for Automated Program Repair

Selecting fault revealing mutants


DBCSR: Distributed Block Compressed Sparse Row matrix library

The CECAM electronic structure library and the modular software development paradigm

Enabling particle applications for exascale computing platforms

The international journal of high performance computing applications

DBCSR: A Blocked Sparse Tensor Algebra Library

Modular implementation of the linear- and cubic-scaling orbital minimization methods in electronic structure codes using atomic orbitals

DBCSR: A Library for Dense Matrix Multiplications on Distributed GPU-Accelerated Systems


Numerical Black-Box Optimization Benchmarking Framework

COCO: a platform for comparing continuous optimizers in a black-box setting

IOHprofiler: A Benchmarking and Profiling Tool for Iterative Optimization Heuristics

Benchmarking evolutionary algorithms for single objective real-valued constrained optimization - A critical review

Using Well-Understood Single-Objective Functions in Multiobjective Black-Box Optimization Test Suites

A Covariance Matrix Self-Adaptation Evolution Strategy for Optimization Under Linear Constraints

IEEE Transactions on Evolutionary Computation

Expected Improvement versus Predicted Value in Surrogate-Based Optimization

Bayesian Optimization over Hybrid Spaces

Anytime Performance Assessment in Blackbox Optimization Benchmarking

COCO: The Large Scale Black-Box Optimization Benchmarking (bbob-largescale) Test Suite

GECCO Companion - Paradiseo: from a modular framework for evolutionary computation to the automated design of metaheuristics: 22 years of Paradiseo

Proceedings of the Genetic and Evolutionary Computation Conference Companion


A friendly package for Kepler & TESS time series analysis in Python.

The CARMENES search for exoplanets around M dwarfs

Carolina Digital Repository (University of North Carolina at Chapel Hill)

The L 98-59 System: Three Transiting, Terrestrial-size Planets Orbiting a Nearby M Dwarf

Survey of Li-rich giants among Kepler and LAMOST fields: Determination
  of Li-rich giants Evolutionary Phase

An unusually low density ultra-short period super-Earth and three mini-Neptunes around the old star TOI-561

Monthly notices of the Royal Astronomical Society

An ultra-short-period transiting super-Earth orbiting the M3 dwarf TOI-1685

TOI-2076 and TOI-1807: Two Young, Comoving Planetary Systems within 50 pc Identified by TESS that are Ideal Candidates for Further Follow Up

Mass and density of the transiting hot and rocky super-Earth LHS 1478 b (TOI-1640 b)

Searching for Small Circumbinary Planets. I. The STANLEY Automated Algorithm and No New Planets in Existing Systems

An enhanced slope in the transmission spectrum of the hot Jupiter WASP-104b

Long rotation period main-sequence stars from Kepler SAP light curves


Source code for the TKET quantum compiler, Python bindings and utilities

Quantum computing with Qiskit

Bugs in Quantum Computing Platforms: An Empirical Study

Teaching Qubits to Sing: Mission Impossible?

ISAAQ: Ising Machine Assisted Quantum Compiler


RustSec API & Tooling

Putting the Semantics into Semantic Versioning

Präzi: from package-based to call-based dependency networks

Security Review of Ethereum Beacon Clients

"Against the Void": An Interview and Survey Study on How Rust Developers
  Use Unsafe Code


A framework to build power system oriented software


Data and software for building the ACL Anthology.

Gender Gap in Natural Language Processing Research: Disparities in Authorship and Citations

Examining Citations of Natural Language Processing Literature

NLP Scholar: An Interactive Visual Explorer for Natural Language Processing Literature

DRIFT: A Toolkit for Diachronic Analysis of Scientific Literature

Analyzing Dataset Annotation Quality Management in the Wild

Using NLP to quantify the environmental cost and diversity benefits of in-person NLP conferences

Findings of the Association for Computational Linguistics: ACL 2022


Consistency Distilled Diff VAE

Consistency Models

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

Autoregressive Image Generation without Vector Quantization

Towards Stable and Faithful Inpainting


This is a pytorch implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks

AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

StarGAN-VC: non-parallel many-to-many Voice Conversion Using Star Generative Adversarial Networks

Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion

Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning

AdaGAN: Adaptive GAN for Many-to-Many Non-Parallel Voice Conversion

Many-to-Many Voice Conversion with Out-of-Dataset Speaker Support


V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Fully convolutional networks for automated segmentation of abdominal adipose tissue depots in multicenter water-fat MRI

An overview of deep learning in medical imaging

Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation

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

Sub-cortical structure segmentation database for young population


Supporting documentation and software for the MPPT Solar Charger


Lagrangian Neural Networks

Neural Ordinary Differential Equations

Hamiltonian Neural Networks

Lagrangian Neural Networks

Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning


[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.

A foundation model for generalizable disease detection from retinal images

Transformers in computational visual media: A survey

The Hidden Attention of Mamba Models

A Fine Line Between Irony and Sincerity: Identifying Bias in Transformer Models for Irony Detection

Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

A Unified Implicit Attention Formulation for Gated-Linear Recurrent Sequence Models


Self-Instruct: Aligning Language Models with Self-Generated Instructions

WizardCoder: Empowering Code Large Language Models with Evol-Instruct

RWKV: Reinventing RNNs for the Transformer Era

CodeT5+: Open Code Large Language Models for Code Understanding and Generation

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources

PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization

Camels in a Changing Climate: Enhancing LM Adaptation with Tulu 2

Don't Make Your LLM an Evaluation Benchmark Cheater

How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition

OctoPack: Instruction Tuning Code Large Language Models


TLA+ specification for the Raft consensus algorithm

Extreme modelling in practice

Modeling the Raft Distributed Consensus Protocol in LNT

Compositional Model Checking of Consensus Protocols Specified in TLA+ via Interaction-Preserving Abstraction

Leveraging TLA+ Specifications to Improve the Reliability of the ZooKeeper Coordination Service

MET: Model Checking-Driven Explorative Testing of CRDT Designs and
  Implementations

Smart Casual Verification of CCF's Distributed Consensus and Consistency
  Protocols


DSIR large-scale data selection framework for language model training

Data Selection for Language Models via Importance Resampling

A Survey on Data Selection for Language Models

DsDm: Model-Aware Dataset Selection with Datamodels

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


Harvey: A Greybox Fuzzer for Smart Contracts

ContractGuard: Defend Ethereum Smart Contracts with Embedded Intrusion Detection

Targeted Greybox Fuzzing with Static Lookahead Analysis

Mutation Testing for Ethereum Smart Contract

Learning Inputs in Greybox Fuzzing


Recognizing cropped text in natural images.

ASTER: An Attentional Scene Text Recognizer with Flexible Rectification

IEEE transactions on pattern analysis and machine intelligence

Mask TextSpotter: An End-to-End Trainable Neural Network for Spotting Text with Arbitrary Shapes

Text Recognition in the Wild: A Survey

2D Attentional Irregular Scene Text Recognizer

Separating Content from Style Using Adversarial Learning for Recognizing Text in the Wild

Exploring Font-independent Features for Scene Text Recognition

On Calibration of Scene-Text Recognition Models


The source code for paper "Deep Image Spatial Transformation for Person Image Generation"

View Synthesis by Appearance Flow

Deep Spatial Transformation for Pose-Guided Person Image Generation and Animation


Praat in Python, the Pythonic way

ProDiff: Progressive Fast Diffusion Model For High-Quality Text-to-Speech

HiFiSinger: Towards High-Fidelity Neural Singing Voice Synthesis

DeepSinger: Singing Voice Synthesis with Data Mined From the Web

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

SingGAN: Generative Adversarial Network For High-Fidelity Singing Voice Generation

TranSpeech: Speech-to-Speech Translation With Bilateral Perturbation

ParaTTS: Learning Linguistic and Prosodic Cross-Sentence Information in Paragraph-Based TTS

Exact Prosody Cloning in Zero-Shot Multispeaker Text-to-Speech

A Hierarchical Speaker Representation Framework for One-shot Singing Voice Conversion

FluentSpeech: Stutter-Oriented Automatic Speech Editing with Context-Aware Diffusion Models


tf-trusted allows you to run TensorFlow models in secure enclaves

CrypTen: Secure Multi-Party Computation Meets Machine Learning

Mind Your Weight(s): A Large-scale Study on Insufficient Machine Learning Model Protection in Mobile Apps

ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks

Serdab: An IoT Framework for Partitioning Neural Networks Computation across Multiple Enclaves

Smart App Attack: Hacking Deep Learning Models in Android Apps

A Systematic Comparison of Encrypted Machine Learning Solutions for Image Classification

Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice

Accelerating 2PC-based ML with Limited Trusted Hardware


Large-scale Pre-training Corpus for Chinese 100G 中文预训练语料

CLUECorpus2020: A Large-scale Chinese Corpus for Pre-training Language Model

Pre-training Polish Transformer-based Language Models at Scale

A Zipf's law-based text generation approach for addressing imbalance in entity extraction

Disco-Bench: A Discourse-Aware Evaluation Benchmark for Language Modelling

Character, Word, or Both? Revisiting the Segmentation Granularity for Chinese Pre-trained Language Models


FastPay: High-Performance Byzantine Fault Tolerant Settlement

Sui Lutris: A Blockchain Combining Broadcast and Consensus

Zef: Low-latency, Scalable, Private Payments


:bug:  Legacy dragonfly plugin for large-scale climate and urban heat island modeling.


Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.


Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".

Navigating to Objects Specified by Images

One-shot Imitation Learning via Interaction Warping

Practice Makes Perfect: Planning to Learn Skill Parameter Policies


chromatin Variability Across Regions (of the genome!)

chromVAR: inferring transcription-factor-associated accessibility from single-cell epigenomic data

Chromatin-accessibility estimation from single-cell ATAC-seq data with scOpen

Chromatin accessibility maps provide evidence of multilineage gene priming in hematopoietic stem cells

Protocol for single-cell ATAC sequencing using combinatorial indexing in mouse lung adenocarcinoma

ARID3A coordinates the proliferation-differentiation switch of transit-amplifying cells in the intestine


Python package for point cloud registration using probabilistic model (Coherent Point Drift, GMMReg, SVR, GMMTree, FilterReg, Bayesian CPD)

FilterReg: Robust and Efficient Probabilistic Point-Set Registration using Gaussian Filter and Twist Parameterization

Comparison of 3D scan matching techniques for autonomous robot navigation in urban and agricultural environments

Best Buddies Registration for Point Clouds


The open source toolbox for reproducible diffusion MRI-based microstructure estimation

Challenges for biophysical modeling of microstructure

The Dmipy Toolbox: Diffusion MRI Multi-Compartment Modeling and Microstructure Recovery Made Easy

Changes in white matter microstructure following serial ketamine infusions in treatment resistant depression

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

Diffusion-weighted MR spectroscopy: consensus, recommendations and resources from acquisition to modelling

Evaluating NODDI‐based biomarkers of Alzheimer’s disease


A Python package for modular causal inference analysis and model evaluations

Estimation and Inference of Heterogeneous Treatment Effects using Random Forests

An Evaluation Toolkit to Guide Model Selection and Cohort Definition in Causal Inference

Adversarial Balancing for Causal Inference

Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions

Finding Valid Adjustments under Non-ignorability with Minimal DAG Knowledge

A causal inference approach for estimating effects of non-pharmaceutical interventions during Covid-19 pandemic

Causal inference in drug discovery and development

Adversarial Distribution Balancing for Counterfactual Reasoning


Analysis kit for large-scale structure datasets, the massively parallel way

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

nbodykit: An Open-source, Massively Parallel Toolkit for Large-scale Structure

FastPM: a new scheme for fast simulations of dark matter and haloes

Extending the modeling of the anisotropic galaxy power spectrum to k = 0.4 hMpc−1

Journal of Cosmology and Astroparticle Physics

Iterative initial condition reconstruction

Modeling biased tracers at the field level

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: 1000 multi-tracer mock catalogues with redshift evolution and systematics for galaxies and quasars of the final data release

An optimal FFT-based anisotropic power spectrum estimator

Cosmological reconstruction from galaxy light: neural network based light-matter connection

BOSS Correlation Function analysis from the Effective Field Theory of Large-Scale Structure


Trustworthy AI related projects

CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models

Masked Gradient-Based Causal Structure Learning

A Graph Autoencoder Approach to Causal Structure Learning

Ordering-Based Causal Discovery with Reinforcement Learning

gCastle: A Python Toolbox for Causal Discovery

Reinforcement learning on graphs: A survey

FedDAG: Federated DAG Structure Learning

On Low Rank Directed Acyclic Graphs and Causal Structure Learning

A Survey on Causal Discovery Methods for I.I.D. and Time Series Data


Directed Greybox Fuzzing with AFL

SAVIOR: Towards Bug-Driven Hybrid Testing

FuzzFactory: domain-specific fuzzing with waypoints

Proceedings of the ACM on Programming Languages

Binary-level Directed Fuzzing for Use-After-Free Vulnerabilities

RDFuzz: Accelerating Directed Fuzzing with Intertwined Schedule and Optimized Mutation

FastAFLGo: Toward a Directed Greybox Fuzzing

Computers, materials & continua/Computers, materials & continua (Print)


Python routines for calculations and data on the Intergalactic Medium

The COS-Halos Survey: Metallicities in the Low-redshift Circumgalactic Medium∗

Deep learning of quasar spectra to discover and characterize damped Lyα systems

The COS CGM Compendium. II. Metallicities of the Partial and Lyman Limit Systems at z ≲ 1

MUSE Analysis of Gas around Galaxies (MAGG) – I: Survey design and the environment of a near pristine gas cloud at z ≈ 3.5

CGM 2 I: The Extent of the Circumgalactic Medium Traced by Neutral Hydrogen

LyaCoLoRe: Synthetic Datasets for Current and Future Lyman-α
  Forest BAO Surveys

MUSE Analysis of Gas around Galaxies (MAGG) – IV: The gaseous environment of z∼ 3-4 Lyman-alpha emitting galaxies

The COS Absorption Survey of Baryon Harbors: The Galaxy Database and Cross-correlation Analysis of O vi Systems∗

The Astrophysical Journal Supplement Series

The Spectral and Environment Properties of z similar to 2.0-2.5 Quasar Pairs

The astrophysical consequences of intervening galaxy gas on fast radio bursts

Monthly Notices of the Royal Astronomical Society


Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

Deep Graph Clustering via Dual Correlation Reduction

Hard Sample Aware Network for Contrastive Deep Graph Clustering

A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and Open Resource

Efficient Graph Convolution for Joint Node Representation Learning and Clustering

Dink-Net: Neural Clustering on Large Graphs

Fine-grained Attributed Graph Clustering

Society for Industrial and Applied Mathematics eBooks

Reinforcement Graph Clustering with Unknown Cluster Number

Uncertainty in GNN Learning Evaluations: The Importance of a Consistent Benchmark for Community Detection

Graph Clustering with High-Order Contrastive Learning


Python package for hypergraph analysis and visualization.

Hypernetwork Science via High-Order Hypergraph Walks

Hypergraph Models of Biological Networks to Identify Genes Critical to Pathogenic Viral Response

Hypernetwork Science: From Multidimensional Networks to Computational Topology

Analyzing, Exploring, and Visualizing Complex Networks via Hypergraphs using SimpleHypergraphs.jl

Topological Simplifications of Hypergraphs

Hypergraph Artificial Benchmark for Community Detection (h-ABCD)

Properties and Performance of the ABCDe Random Graph Model with Community Structure

EasyGraph: A multifunctional, cross-platform, and effective library for interdisciplinary network analysis

Higher-Order Networks Representation and Learning: A Survey

Hypergraph Application on Business Process Performance


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

Performance and Cost Assessment of Machine Learning Interatomic Potentials

Accelerating materials discovery with Bayesian optimization and graph deep learning

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

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

A Universal Machine Learning Model for Elemental Grain Boundary Energies

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

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

Discovery of 2D materials using Transformer Network based Generative Design

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


A flexible framework for solving PDEs with modern spectral methods.

Single-hemisphere Dynamos in M-dwarf Stars

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

The photometric variability of massive stars due to gravity waves excited by core convection

Rotation Reduces Convective Mixing in Jupiter and Other Gas Giants

Marginally-Stable Thermal Equilibria of Rayleigh-Bénard Convection

Generalized quasi-linear approximation and non-normality in Taylor–Couette spiral turbulence

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

Polynomial Chaos Expansions on Principal Geodesic Grassmannian
  Submanifolds for Surrogate Modeling and Uncertainty Quantification


ConvLab-2: An Open-Source Toolkit for Building, Evaluating, and Diagnosing Dialogue Systems

Robustness Testing of Language Understanding in Task-Oriented Dialog

Fantastic Rewards and How to Tame Them: A Case Study on Reward Learning for Task-oriented Dialogue Systems

Extrinsic Evaluation of Machine Translation Metrics

How to Evaluate Your Dialogue Models: A Review of Approaches

Post-processing Networks: Method for Optimizing Pipeline Task-oriented Dialogue Systems using Reinforcement Learning

JoTR: A Joint Transformer and Reinforcement Learning Framework for Dialog Policy Learning

Étiquetage ou génération de séquences pour la compréhension automatique du langage en contexte d’interaction? (Sequence tagging or sequence generation for Natural Language Understanding ?)

BotSIM: An End-to-End Bot Simulation Toolkit for Commercial Task-Oriented Dialog Systems


Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.

Deep Neural Networks for Encrypted Inference with TFHE

Privacy-Preserving Tree-Based Inference with TFHE

Level Up: Private Non-Interactive Decision Tree Evaluation using Levelled Homomorphic Encryption

TT-TFHE: a Torus Fully Homomorphic Encryption-Friendly Neural Network Architecture

CiFlow: Dataflow Analysis and Optimization of Key Switching for Homomorphic Encryption

Confidential Truth Finding with Multi-Party Computation (Extended Version)


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

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

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

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


A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

mixup: Beyond Empirical Risk Minimization

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

AudioCLIP: Extending CLIP to Image, Text and Audio

Balancing Discriminability and Transferability for Source-Free Domain Adaptation

NORESQA: A Framework for Speech Quality Assessment using Non-Matching References

Effects of Data Augmentations on Speech Emotion Recognition

Covid-19 recognition from cough sounds using lightweight separable-quadratic convolutional network

Biomedical signal processing and control

Towards sound based testing of COVID-19 -- Summary of the first Diagnostics of COVID-19 using Acoustics (DiCOVA) Challenge

Fall Detection from Audios with Audio Transformers

Using Deep Learning with Large Aggregated Datasets for COVID-19 Classification from Cough


Deep learning toolkit-enabled VLSI placement

On Joint Learning for Solving Placement and Routing in Chip Design

MaskPlace: Fast Chip Placement via Reinforced Visual Representation Learning

Towards Machine Learning for Placement and Routing in Chip Design: a Methodological Overview


RPi Meteor Station

The Winchcombe Fireball -- that Lucky Survivor

Computing optical meteor flux using global meteor network data

Direct measurement of decimetre-sized rocky material in the Oort cloud

Real-Time Detection of Sporadic Meteors in the Intensified TV Imaging Systems


ezkl is an engine for doing inference for deep learning models and other computational graphs in a zk-snark (ZKML). Use it from Python, Javascript, or the command line.

Verifiable evaluations of machine learning models using zkSNARKs

Trust the Process: Zero-Knowledge Machine Learning to Enhance Trust in
  Generative AI Interactions

Proof of Quality: A Costless Paradigm for Trustless Generative AI Model
  Inference on Blockchains

opp/ai: Optimistic Privacy-Preserving AI on Blockchain


THIS REPOSITORY HAS BEEN MOVED TO GITLAB

An Architecture-Tracking Approach to Evaluate a Modular and Extensible Flight Software for CubeSat Nanosatellites

Systematic Fuzz Testing Techniques on a Nanosatellite Flight Software for Agile Mission Development


Creative Commons Attribution 4.0 International

The Starter-kit has moved to the new BIDS website.

EEG-BIDS, an extension to the brain imaging data structure for electroencephalography

iEEG-BIDS, extending the Brain Imaging Data Structure specification to human intracranial electrophysiology

PET-BIDS, an extension to the brain imaging data structure for positron emission tomography

Good scientific practice in EEG and MEG research: Progress and perspectives

From the Wet Lab to the Web Lab: A Paradigm Shift in Brain Imaging Research

A protocol for working with open-source neuroimaging datasets


Expanding natural instructions

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks

Cross-Task Generalization via Natural Language Crowdsourcing Instructions

Instruction Tuning for Large Language Models: A Survey

Understanding LLMs: A Comprehensive Overview from Training to Inference

Critical Data Size of Language Models from a Grokking Perspective

HyperCLOVA X Technical Report


A static verifier for Rust, based on the Viper verification infrastructure.

Leveraging Rust Types for Modular Specification and Verification

The Prusti Project: Formal Verification for Rust

Verified Rust Monitors for Lola Specifications


Artemis - Interactive Learning with Automated Feedback

An Analysis of Programming Course Evaluations Before and After the Introduction of an Autograder

AI-Tutoring in Software Engineering Education

2024 ACM/IEEE 44TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING: SOFTWARE ENGINEERING EDUCATION AND TRAINING, ICSE-SEET 2024

Iris: An AI-Driven Virtual Tutor For Computer Science Education

PROCEEDINGS OF THE 2024 CONFERENCE INNOVATION AND TECHNOLOGY IN COMPUTER SCIENCE EDUCATION, VOL 1, ITICSE 2024


Defeating Windows User Account Control

Blockchain-Enabled Intrusion Detection and Prevention System of APTs Within Zero Trust Architecture

Modelling Indicators of Behaviour for Cyber Threat Hunting via Sysmon

PROCEEDINGS OF THE 2024 EUROPEAN INTERDISCIPLINARY CYBERSECURITY CONFERENCE, EICC 2024


Code for 'LLM2Vec: Large Language Models Are Secretly Powerful Text Encoders'

SimCSE: Simple Contrastive Learning of Sentence Embeddings

Improving Text Embeddings with Large Language Models

Repetition Improves Language Model Embeddings


Tuning hyperparams fast with Hyperband

Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization

AutoML to Date and Beyond: Challenges and Opportunities

Talking-Heads Attention

Auptimizer -- an Extensible, Open-Source Framework for Hyperparameter Tuning

Supervised Machine Learning Techniques: An Overview with Applications to Banking

Adaptive Artificial Neural Network Surrogate Model of Nonlinear Hydraulic Adjustable Damper for Automotive Semi-Active Suspension System

DEEP-BO for Hyperparameter Optimization of Deep Networks


Scaling and Benchmarking Self-Supervised Visual Representation Learning

Gibson Env: Real-World Perception for Embodied Agents

A Survey of Deep Learning for Scientific Discovery

VisualEchoes: Spatial Image Representation Learning through Echolocation


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

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

Simple and Accurate Dependency Parsing Using Bidirectional LSTM Feature Representations

DyNet: The Dynamic Neural Network Toolkit

Neural End-to-End Learning for Computational Argumentation Mining

Learning to select data for transfer learning with Bayesian Optimization

On-the-fly Operation Batching in Dynamic Computation Graphs

A Sub-Character Architecture for Korean Language Processing

An empirical study for Vietnamese dependency parsing

Dependency Parsing for Urdu: Resources, Conversions and Learning

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

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

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


This repository contains the code for the CVPR 2021 paper "GIRAFFE: Representing Scenes as Compositional Generative Neural Feature Fields"

Convolutional Occupancy Networks

StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis

3D-aware Image Synthesis via Learning Structural and Textural Representations

Unsupervised Discovery of Object Radiance Fields

Learning Implicit Surface Light Fields

Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis

DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesis

UrbanGIRAFFE: Representing Urban Scenes as Compositional Generative Neural Feature Fields

SinGRAV: Learning a Generative Radiance Volume from a Single Natural Scene


Learning to Communicate with Deep Multi-Agent Reinforcement Learning

Deep Reinforcement Learning: An Overview

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


InceptionTime: Finding AlexNet for Time Series Classification

InceptionTime: Finding AlexNet for time series classification

Time Series Extrinsic Regression

Deep learning for time series classification

Monash University, UEA, UCR Time Series Regression Archive

Towards Similarity-Aware Time-Series Classification

Monash University, UEA, UCR Time Series Extrinsic Regression Archive

Detection of Unilateral Arm Paresis after Stroke by Wearable Accelerometers and Machine Learning

Quantifying quality of class-conditional generative models in time series domain


gnn explainer

Deep Learning on Graphs: A Survey

GNNExplainer: Generating Explanations for Graph Neural Networks

PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks

GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks

Jointly Attacking Graph Neural Network and its Explanations

A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges

DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks

Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks

On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach

Interpretable Prototype-based Graph Information Bottleneck


Source files for building the IDM EMOD disease transmission model.

Potential effects of disruption to HIV programmes in sub-Saharan Africa caused by COVID-19: results from multiple mathematical models

Development of an oral once-weekly drug delivery system for HIV antiretroviral therapy

Implementation and applications of EMOD, an individual-based multi-disease modeling platform

The influence of mobility among high-risk populations on HIV transmission in Western Kenya

Individual and community-level benefits of PrEP in western Kenya and South Africa: Implications for population prioritization of PrEP provision


A comprehensive and full-featured computational physics suite for boundary-element analysis of electromagnetic scattering, fluctuation-induced phenomena (Casimir forces and radiative heat transfer), nanophotonics, RF device engineering, electrostatics, and more. Includes a core library with C++ and python APIs as well as many command-line applications.

Lasing in dark and bright modes of a finite-sized plasmonic lattice

Lasing at K Points of a Honeycomb Plasmonic Lattice.

Limits to surface-enhanced Raman scattering near arbitrary-shape scatterers

Local field enhancement: comparing self-similar and dimer nanoantennas

Accurate Truncations of Chain Mapping Models for Open Quantum Systems

The emergence of macroscopic currents in photoconductive sampling of optical fields

Multiple scattering expansion for dielectric media: Casimir effect

Quantum trapping and rotational self-alignment in triangular Casimir microcavities

Electromagnetic Casimir energy of a disk opposite a plane

Casimir and Casimir-Polder interactions for magneto-dielectric materials: Surface scattering expansion


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

Metagenomics of Wastewater Influent from Wastewater Treatment Facilities across Ontario in the Era of Emerging SARS-CoV-2 Variants of Concern

Contrasting Distribution of SARS-CoV-2 Lineages across Multiple Rounds of Pandemic Waves in West Bengal, the Gateway of East and North-East States of India


Post-analysis of immune repertoire sequencing data

VDJtools: Unifying Post-analysis of T Cell Receptor Repertoires

VDJviz: a versatile browser for immunogenomics data

Functionally specialized human CD4+ T-cell subsets express physicochemically distinct TCRs

The use of non-functional clonotypes as a natural calibrator for quantitative bias correction in adaptive immune receptor repertoire profiling

Reduced diversity of intestinal T-cell receptor repertoire in patients with Crohn’s disease

Frontiers in cellular and infection microbiology


Reinforcement Learning Testbed for Power Consumption Optimization using EnergyPlus

Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation

Reinforcement Learning Testbed for Power-Consumption Optimization


Temporal Relation Networks

Temporal Relational Reasoning in Videos

The EPIC-KITCHENS Dataset: Collection, Challenges and Baselines

Unsupervised Video Domain Adaptation for Action Recognition: A Disentanglement Perspective

FuTH-Net: Fusing Temporal Relations and Holistic Features for Aerial Video Classification

Play Fair: Frame Attributions in Video Models

ERA: A Dataset and Deep Learning Benchmark for Event Recognition in Aerial Videos


NequIP is a code for building E(3)-equivariant interatomic potentials

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

Towards universal neural network potential for material discovery applicable to arbitrary combination of 45 elements

Forces are not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations

Fast Uncertainty Estimates in Deep Learning Interatomic Potentials

Complexity of many-body interactions in transition metals via machine-learned force fields from the TM23 data set

DPA-2: Towards a universal large atomic model for molecular and material simulation

Data efficiency and extrapolation trends in neural network interatomic potentials

Physics-Inspired Neural Graph ODE for Long-term Dynamical Simulation

Beyond MD17: the reactive xxMD dataset

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


Extensible, parallel implementations of t-SNE

The art of using t-SNE for single-cell transcriptomics

Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding

Modular, efficient and constant-memory single-cell RNA-seq preprocessing

openTSNE: a modular Python library for t-SNE dimensionality reduction and embedding

Embedding to reference t-SNE space addresses batch effects in single-cell classification

Interactive keyterm-based document clustering and visualization via neural language models


PyTorch CTC Decoder bindings

Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade

End-to-end Lyrics Alignment for Polyphonic Music Using an Audio-to-Character Recognition Model

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond

One Reference Is Not Enough: Diverse Distillation with Reference Selection for Non-Autoregressive Translation

Learning Non-Autoregressive Models from Search for Unsupervised Sentence Summarization

No Padding Please: Efficient Neural Handwriting Recognition

International Conference on Document Analysis and Recognition

Non-Monotonic Latent Alignments for CTC-Based Non-Autoregressive Machine Translation

A Fine-Grained Visual Attention Approach for Fingerspelling Recognition in the Wild

Duplex Sequence-to-Sequence Learning for Reversible Machine Translation

Exploring End-to-End Techniques for Low-Resource Speech Recognition


A multi-thread crawler framework with many builtin image crawlers provided.

From Categories to Classifier: Name-Only Continual Learning by Exploring the Web

Automated dataset generation for image recognition using the example of taxonomy

Just Say the Name: Online Continual Learning with Category Names Only
  via Data Generation


oneAPI Collective Communications Library (oneCCL)

Optimizing Deep Learning Recommender Systems' Training On CPU Cluster Architectures

Enabling Compute-Communication Overlap in Distributed Deep Learning Training Platforms

International Symposium on Computer Architecture

Tensor processing primitives

Efficient Direct-Connect Topologies for Collective Communications

Efficient All-to-All Collective Communication Schedules for Direct-Connect Topologies

Gleam: An RDMA-accelerated Multicast Protocol for Datacenter Networks

FastSample: Accelerating Distributed Graph Neural Network Training for Billion-Scale Graphs


brain connectivity toolbox for python

A parsimonious description of global functional brain organization in three spatiotemporal patterns

Connectivity characterization of the mouse basolateral amygdalar complex

Topological reinforcement as a principle of modularity emergence in brain networks

Characterization of the Brain Functional Architecture of Psychostimulant Withdrawal Using Single-Cell Whole-Brain Imaging

A connectomics-based taxonomy of mammals

Network topology of the marmoset connectome

Sex-Specific Neural Networks of Cued Threat Conditioning: A Pilot Study

Dynamic Neural Network Reconfiguration During the Generation and Reinstatement of Mnemonic Representations

A Transdiagnostic Data-driven Study of Children’s Behaviour and the Functional Connectome

VOLTA: adVanced mOLecular neTwork Analysis


The General NOAA Operational Modeling Environment

OpenDrift v1.0: a generic framework for trajectory modeling

Revisiting the DeepWater Horizon spill: High resolution model simulations of effects of oil droplet size distribution and river fronts


Algorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.

Kirchhoff Index as a Measure of Edge Centrality in Weighted Networks: Nearly Linear Time Algorithms

Current Flow Group Closeness Centrality for Complex Networks?

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

Improving information centrality of a node in complex networks by adding edges

Maximizing Influence of Leaders in Social Networks

Approximation of the Diagonal of a Laplacian's Pseudoinverse for Complex Network Analysis

RCHOL: Randomized Cholesky Factorization for Solving SDD Linear Systems

On the Ability of Graph Neural Networks to Model Interactions Between Vertices

Effects of Stubbornness on Opinion Dynamics

Robust and Practical Solution of Laplacian Equations by Approximate Elimination

What Makes Data Suitable for a Locally Connected Neural Network? A Necessary and Sufficient Condition Based on Quantum Entanglement


Fermi-LAT Python Analysis Framework

Fermipy: An open-source Python package for analysis of Fermi-LAT Data

Gammapy - A prototype for the CTA science tools

GeV-TeV Counterparts of SS 433/W50 from Fermi-LAT and HAWC Observations

MADHAT: Model-Agnostic Dark Halo Analysis Tool

Testing the dark matter subhalo hypothesis of the gamma-ray source 3FGL J2212.5+0703

The contribution of winds from star clusters to the Galactic cosmic-ray population

K2 Optical Emission from OJ 287 and Other γ-Ray Blazars on Hours-to-weeks Timescales from 2014 to 2018

Nonthermal Radiation of the Extreme TeV Blazar 1ES 0229+200 from Electromagnetic Cascades on Infrared Photon Field

Constraints on dark matter and astrophysics from tomographic γ-ray cross-correlations

LST-1 observations of an enormous flare of BL Lacertae in 2021

Proceedings of 38th International Cosmic Ray Conference — PoS(ICRC2023)


A simple and highly efficient RTS-game-inspired environment for reinforcement learning

StarCraft II: A New Challenge for Reinforcement Learning

A Closer Look at Invalid Action Masking in Policy Gradient Algorithms

Gym-μRTS: Toward Affordable Full Game Real-time Strategy Games Research with Deep Reinforcement Learning

Interpretable Sequence Classification via Discrete Optimization

What can we Learn Even From the Weakest? Learning Sketches for Programmatic Strategies

Programmatic Strategies for Real-Time Strategy Games

THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Action Guidance: Getting the Best of Sparse Rewards and Shaped Rewards for Real-time Strategy Games

Comparing Observation and Action Representations for Deep Reinforcement Learning in μRTS

Choosing Well Your Opponents: How to Guide the Synthesis of Programmatic Strategies

Combinatorial Multi-armed Bandits for Real-Time Strategy Games


Big Data RDF Processing and Analytics Stack built on Apache Spark and Apache Jena http://sansa-stack.github.io/SANSA-Stack/

A Scalable Framework for Quality Assessment of RDF Datasets

Literal2Feature: An Automatic Scalable RDF Graph Feature Extractor

Toward the Multilingual Semantic Web: Multilingual Ontology Matching and Assessment

From Monolingual to Multilingual Ontologies: The Role of Cross-Lingual Ontology Enrichment


FLEXI: A high order discontinuous Galerkin framework for hyperbolic–parabolic conservation laws

Hybrid parallelization of Euler-Lagrange simulations based on MPI-3 shared memory

A framework for high-fidelity particle tracking on massively parallel systems

GALÆXI: Solving complex compressible flows with high-order
  discontinuous Galerkin methods on accelerator-based systems

Towards Exascale CFD Simulations Using the Discontinuous Galerkin Solver FLEXI


smali/baksmali

On the effectiveness of system API-related information for Android ransomware detection

Research on Third-Party Libraries in Android Apps: A Taxonomy and Systematic Literature Review

Smart at what cost? Characterising Mobile Deep Neural Networks in the wild

A Novel Hybrid Method to Analyze Security Vulnerabilities in Android Applications

ACMiner: Extraction and Analysis of Authorization Checks in Android's Middleware

You Shall not Repackage! Demystifying Anti-Repackaging on Android

DroidbotX: Test Case Generation Tool for Android Applications Using Q-Learning

A Systematic Overview of Android Malware Detection

Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors

On the Feasibility of Adversarial Sample Creation Using the Android System API


Algorithms and Publications on 3D Object Tracking

Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects

SRT3D: A Sparse Region-Based 3D Object Tracking Approach for the Real World

A Sparse Gaussian Approach to Region-Based 6DoF Object Tracking

Fusing Visual Appearance and Geometry for Multi-modality 6DoF Object Tracking

A Multi-body Tracking Framework - From Rigid Objects to Kinematic Structures


Crystal graph convolutional neural networks for predicting material properties.

Crystal Graph Convolutional Neural Networks for an Accurate and Interpretable Prediction of Material Properties.

Deep Learning on Graphs: A Survey

Recent advances and applications of deep learning methods in materials science

Benchmarking materials property prediction methods: the Matbench test set and Automatminer reference algorithm

Infusing theory into deep learning for interpretable reactivity prediction

Transfer learning for materials informatics using crystal graph convolutional neural network

MT-CGCNN: Integrating Crystal Graph Convolutional Neural Network with Multitask Learning for Material Property Prediction

Powder X‐Ray Diffraction Pattern Is All You Need for Machine‐Learning‐Based Symmetry Identification and Property Prediction

LLM-Prop: Predicting Physical And Electronic Properties Of Crystalline Solids From Their Text Descriptions

A Novel Machine Learning Model to Predict the Photo-Degradation Performance of Different Photocatalysts on a Variety of Water Contaminants


Generative Topic Embedding: a Continuous Representation of Documents

A Generative Word Embedding Model and its Low Rank Positive Semidefinite Solution

PSDVec: a Toolbox for Incremental and Scalable Word Embedding

Topical Phrase Extraction from Clinical Reports by Incorporating both Local and Global Context


Dilated CNNs for NER in TensorFlow

Fast and Accurate Entity Recognition with Iterated Dilated Convolutions

Active Bias: Training More Accurate Neural Networks by Emphasizing High Variance Samples

Using error decay prediction to overcome practical issues of deep active learning for named entity recognition

Simultaneously Linking Entities and Extracting Relations from Biomedical Text Without Mention-level Supervision


Source code of paper "[NIPS2017] Deep Learning for Precipitation Nowcasting: A Benchmark and A New Model"

TAASRAD19, a high-resolution weather radar reflectivity dataset for precipitation nowcasting

A Three-Dimensional Convolutional-Recurrent Network for Convective Storm Nowcasting

International Conference on Big Knowledge

An Long Short-Term Memory Model with Multi-Scale Context Fusion and Attention for Radar Echo Extrapolation


label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression

Learning from Noisy Labels with Deep Neural Networks: A Survey

The Lovász-Softmax loss: A tractable surrogate for the optimization of the intersection-over-union measure in neural networks

Partial FC: Training 10 Million Identities on a Single Machine


Java Geometry Expert

Four Geometry Problems to Introduce Automated Deduction in Secondary Schools

Towards a geometry deductive database prover

Annals of Mathematics and Artificial Intelligence

Open Geometry Prover Community Project

Automated Discovery of Geometrical Theorems in GeoGebra

A Rule Based Theorem Prover: an Introduction to Proofs in Secondary Schools

Open Source Prover in the Attic

Electronic Proceedings in Theoretical Computer Science


Extract individual trees from lidar point clouds

Extracting individual trees from lidar point clouds using treeseg

Realistic Forest Stand Reconstruction from Terrestrial LiDAR for Radiative Transfer Modelling

New insights into large tropical tree mass and structure from direct harvest and terrestrial lidar

QSMs, point cloud and harvest data from a destructive forest biomass experiment in Belgium using terrestrial laser scanning

Zenodo (CERN European Organization for Nuclear Research)


Word to Gaussian Mixture Model

Probabilistic FastText for Multi-Sense Word Embeddings

Multimodal Word Distributions

Word2Sense: Sparse Interpretable Word Embeddings

Meeting of the Association for Computational Linguistics

Distributional Inclusion Vector Embedding for Unsupervised Hypernymy Detection


Awesome Protein Representation Learning

A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems

A Survey on Protein Representation Learning: Retrospect and Prospect


Features selector based on the self selected-algorithm, loss function and validation method

AutoML to Date and Beyond: Challenges and Opportunities

Feature Selection Algorithms as One of the Python Data Analytical Tools

Universal Feature Selection Tool (UniFeat): An Open-Source Tool for Dimensionality Reduction


This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.

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

Diffusion-Based Voice Conversion with Fast Maximum Likelihood Sampling Scheme

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

SPIRAL: Self-supervised Perturbation-Invariant Representation Learning for Speech Pre-Training

DiffVoice: Text-to-Speech with Latent Diffusion

An Efficient Membership Inference Attack for the Diffusion Model by Proximal Initialization

ResGrad: Residual Denoising Diffusion Probabilistic Models for Text to Speech

DDDM-VC: Decoupled Denoising Diffusion Models with Disentangled Representation and Prior Mixup for Verified Robust Voice Conversion

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

StreamVC: Real-Time Low-Latency Voice Conversion


A list of NLP resources focused on event extraction task

EVENT EXTRACTION WITH COMPLEX EVENT CLASSIFICATION USING RICH FEATURES

Journal of bioinformatics and computational biology

Joint Entity and Event Extraction with Generative Adversarial Imitation Learning

Coreference based event-argument relation extraction on biomedical text

Wide coverage biomedical event extraction using multiple partially overlapping corpora

Biomedical event extraction with a novel combination strategy based on hybrid deep neural networks

Word sense disambiguation for event trigger word detection

Proceedings of the ACM fourth international workshop on Data and text mining in biomedical informatics

EFFECTIVE BIO-EVENT EXTRACTION USING TRIGGER WORDS AND SYNTACTIC DEPENDENCIES

International Conference on Climate Informatics

Event Extraction via Bidirectional Long Short-Term Memory Tensor Neural Networks

Learning Target-Dependent Sentence Representations for Chinese Event Detection

Exploiting a More Global Context for Event Detection Through Bootstrapping


An implementation of the TrueSkill rating system for Python

Efficient Elicitation of Annotations for Human Evaluation of Machine Translation

Workshop on Statistical Machine Translation

Subjectively Measured Streetscape Perceptions to Inform Urban Design Strategies for Shanghai

ISPRS International Journal of Geo-Information

Combining Learning from Human Feedback and Knowledge Engineering to Solve Hierarchical Tasks in Minecraft

OpenSkill: A faster asymmetric multi-team, multiplayer rating system


MaSIF- Molecular surface interaction fingerprints. Geometric deep learning to decipher patterns in molecular surfaces.

COLLAPSE: A representation learning framework for identification and characterization of protein structural sites

Learning Harmonic Molecular Representations on Riemannian Manifold

A deep-learning method for the end-to-end prediction of intracranial aneurysm rupture risk

Genome-scale annotation of protein binding sites via language model and geometric deep learning

Broadening the phenotypic and molecular spectrum of FINCA syndrome: Biallelic NHLRC2 variants in 15 novel individuals

European journal of human genetics : EJHG

Evaluating representation learning on the protein structure universe

Programmable RNA base editing with photoactivatable CRISPR-Cas13

GPSFun: geometry-aware protein sequence function predictions with language models


SigProfilerExtractor allows de novo extraction of mutational signatures from data generated in a matrix format. The tool identifies the number of operative mutational signatures, their activities in each sample, and the probability for each signature to cause a specific mutation type in a cancer sample. The tool makes use of SigProfilerMatrixGenerator and SigProfilerPlotting.

Uncovering novel mutational signatures by de novo extraction with SigProfilerExtractor

Mechanisms of APOBEC3 mutagenesis in human cancer cells

The mutational signature profile of known and suspected human carcinogens in mice

Whole-genome analysis identifies novel drivers and high-risk double-hit events in relapsed/refractory myeloma

The landscape of genetic aberrations in myxofibrosarcoma

Identification of New Genes Involved in Germline Predisposition to Early-Onset Gastric Cancer

International journal of molecular sciences

Unravelling the instability of mutational signatures extraction via archetypal analysis

Somatic structural variation signatures in pediatric brain tumors

medRxiv : the preprint server for health sciences


PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured Interactions

Unwrapping The Black Box of Deep ReLU Networks: Interpretability, Diagnostics, and Simplification

Designing Inherently Interpretable Machine Learning Models

Reduced Effectiveness of Kolmogorov-Arnold Networks on Functions with Noise

PiML Toolbox for Interpretable Machine Learning Model Development and Diagnostics

KAN versus MLP on Irregular or Noisy Functions


Two time-scale update rule for training GANs

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Generative Modeling by Estimating Gradients of the Data Distribution

Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis

How good is my GAN?

TransGAN: Two Pure Transformers Can Make One Strong GAN, and That Can Scale Up

A U-Net Based Discriminator for Generative Adversarial Networks

ContraGAN: Contrastive Learning for Conditional Image Generation

COCO-GAN: Generation by Parts via Conditional Coordinating

Reducing Noise in GAN Training with Variance Reduced Extragradient

VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models


GRIDSS: the Genomic Rearrangement IDentification Software Suite

Clonal dynamics of haematopoiesis across the human lifespan

GRIDSS2: comprehensive characterisation of somatic structural variation using single breakend variants and structural variant phasing

Feasibility of whole genome and transcriptome profiling in pediatric and young adult cancers

Compound heterozygous TYK2 mutations underlie primary immunodeficiency with T-cell lymphopenia

Structural variant evolution after telomere crisis

PopDel identifies medium-size deletions simultaneously in tens of thousands of genomes

Comparing Survival Outcomes for Advanced Cancer Patients Who Received Complex Genomic Profiling Using a Synthetic Control Arm

Unified framework for patient-derived, tumor-organoid-based predictive testing of standard-of-care therapies in metastatic colorectal cancer

EBV+ nodal T/NK-cell lymphoma associated with clonal hematopoiesis and structural variations of the viral genome

Waldenström macroglobulinemia whole genome reveals prolonged germinal center activity and late copy number aberrations


A Python interface to the 6S Radiative Transfer Model

Wildfire Damage Assessment over Australia Using Sentinel-2 Imagery and MODIS Land Cover Product within the Google Earth Engine Cloud Platform


Protein-Ligand Benchmark Dataset for Free Energy Calculations

Accurate and Reliable Prediction of Relative Ligand Binding Potency in Prospective Drug Discovery by Way of a Modern Free-Energy Calculation Protocol and Force Field

Journal of the American Chemical Society

Discovery of Potent Myeloid Cell Leukemia 1 (Mcl-1) Inhibitors Using Fragment-Based Methods and Structure-Based Design

Large-Scale Assessment of Binding Free Energy Calculations in Active Drug Discovery Projects

Journal of chemical information and modeling

Large scale relative protein ligand binding affinities using non-equilibrium alchemy

Using AMBER18 for Relative Free Energy Calculations

Best practices for constructing, preparing, and evaluating protein-ligand binding affinity benchmarks

Predicting Activity Cliffs with Free-Energy Perturbation.

Journal of chemical theory and computation

The maximal and current accuracy of rigorous protein-ligand binding free energy calculations


The PULP Ara is a 64-bit Vector Unit, compatible with the RISC-V Vector Extension Version 1.0, working as a coprocessor to CORE-V's CVA6 core

A ''New Ara'' for Vector Computing: An Open Source Highly Efficient RISC-V V 1.0 Vector Processor Design

Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference

Ara2: Exploring Single- and Multi-Core Vector Processing with an Efficient RVV1.0 Compliant Open-Source Processor


[MOVED] Moved to paoloshasta/shasta. De novo assembly from Oxford Nanopore reads

Nanopore sequencing and the Shasta toolkit enable efficient de novo assembly of eleven human genomes

Human Genome Assembly in 100 Minutes

Efficient de novo assembly of eleven human genomes using PromethION sequencing and a novel nanopore toolkit

MicroPIPE: validating an end-to-end workflow for high-quality complete bacterial genome construction

The clinical utility of two high-throughput 16S rRNA gene sequencing workflows for taxonomic assignment of unidentifiable bacterial pathogens in MALDI-TOF MS

A beginner’s guide to assembling a draft genome and analyzing structural variants with long-read sequencing technologies

The genomics and evolution of inter-sexual mimicry and female-limited polymorphisms in damselflies


General Multi-Precision arithmetic for Python 2.6+/3+ (GMP, MPIR, MPFR, MPC)

Secure Federated Matrix Factorization

BeeKeeper 2.0: Confidential Blockchain-Enabled IoT System with Fully Homomorphic Computation


This is the GitHub repository for STELLOPT, the state-of-the-art stellarator optimization code.

A quasi-isodynamic configuration with good confinement of fast ions at low plasma β

Gradient-based optimization of 3D MHD equilibria

Design of an arrangement of cubic magnets for a quasi-axisymmetric stellarator experiment

A neoclassically optimized compact stellarator with four planar coils


eXtensible Neural Machine Translation

MuST-C: a Multilingual Speech Translation Corpus

North American Chapter of the Association for Computational Linguistics

When and Why are Pre-trained Word Embeddings Useful for Neural Machine Translation?

Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation

Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference?

Toward Robust Neural Machine Translation for Noisy Input Sequences

International Workshop on Spoken Language Translation

XNMT: The eXtensible Neural Machine Translation Toolkit

Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop

Under the Morphosyntactic Lens: A Multifaceted Evaluation of Gender Bias in Speech Translation

Evaluating Gender Bias in Speech Translation

How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation


Officially supported AllenNLP models

ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

Incorporating Copying Mechanism in Sequence-to-Sequence Learning

Commonsense and Named Entity Aware Knowledge Grounded Dialogue Generation

Stress Test Evaluation of Biomedical Word Embeddings

Workshop on Biomedical Natural Language Processing

Using Multi-Encoder Fusion Strategies to Improve Personalized Response Selection

Extending Phrase Grounding with Pronouns in Visual Dialogues


OpenMMLab 3D Human Parametric Model Toolbox and Benchmark

SMPLer-X: Scaling Up Expressive Human Pose and Shape Estimation

TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer

Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction

SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling

PrimDiffusion: Volumetric Primitives Diffusion for 3D Human Generation

PoseExaminer: Automated Testing of Out-of-Distribution Robustness in Human Pose and Shape Estimation

Learning Dense UV Completion for Human Mesh Recovery

Towards Robust and Expressive Whole-body Human Pose and Shape Estimation

Cloth2Body: Generating 3D Human Body Mesh from 2D Clothing


Data-driven model reduction library with an emphasis on large scale parallelism and linear subspace methods

Space-time reduced order model for large-scale linear dynamical systems with application to Boltzmann transport problems

Reduced order models for Lagrangian hydrodynamics

Local Lagrangian reduced-order modeling for the Rayleigh-Taylor instability by solution manifold decomposition

Pressio: Enabling projection-based model reduction for large-scale nonlinear dynamical systems

Data-scarce surrogate modeling of shock-induced pore collapse process

Certified data-driven physics-informed greedy auto-encoder simulator


PArametrized Recommendation and Ai Model benchmark is a repository for development of numerous uBenchmarks as well as end to end nets for evaluation of training and inference platforms.

Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models

Enabling Compute-Communication Overlap in Distributed Deep Learning Training Platforms

International Symposium on Computer Architecture

AutoShard: Automated Embedding Table Sharding for Recommender Systems

DreamShard: Generalizable Embedding Table Placement for Recommender Systems

Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks


Origin is a set of toolkits that together provide a system for issuance and management of Energy Attribute Certificates


MONAI Label is an intelligent open source image labeling and learning tool.

MONAI Label: A framework for AI-assisted Interactive Labeling of 3D Medical Images

DeepEdit: Deep Editable Learning for Interactive Segmentation of 3D Medical Images

ECONet: Efficient Convolutional Online Likelihood Network for Scribble-based Interactive Segmentation

Code-Free Development and Deployment of Deep Segmentation Models for Digital Pathology

Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use Case

Adaptive Multi-scale Online Likelihood Network for AI-assisted Interactive Segmentation


3D Reconstruction Software

A Survey of Embodied AI: From Simulators to Research Tasks

SERV-CT: A disparity dataset from cone-beam CT for validation of endoscopic 3D reconstruction

A Study of 3D Digitisation Modalities for Crime Scene Investigation

Three-Dimensional Human Head Reconstruction Using Smartphone-Based Close-Range Video Photogrammetry

Simulation Environment for Safety Assessment of CEAV Deployment in Linden

Ichnotaxonomy and trackmaker assignment of tetrapod tracks and swimming traces from the Middle Permian Hornburg Formation of Saxony-Anhalt (Germany)

Annales Societatis Geologorum Poloniae/Rocznik Polskiego Towarzystwa Geologicznego

3D Surface Reconstruction From Multi-Date Satellite Images

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

A Simple Way to Reduce 3D Model Deformation in Smartphone Photogrammetry

Single-camera 3D head fitting for mixed reality clinical applications

A Photogrammetry-based Framework to Facilitate Image-based Modeling and Automatic Camera Tracking


Gene length corrected trimmed mean of M-values (GeTMM) processing of RNA-seq data performs similarly in intersample analyses while improving intrasample comparisons

Immunological differences between colorectal cancer and normal mucosa uncover a prognostically relevant immune cell profile

Fibroblast activation protein identifies Consensus Molecular Subtype 4 in colorectal cancer and allows its detection by 68Ga-FAPI-PET imaging

Integrated multi-omics approach to distinct molecular characterization and classification of early-onset colorectal cancer

Gene expression profiles in genome instability-based classes of colorectal cancer

Prognosis and Sensitivity of Adjuvant Chemotherapy in Mucinous Colorectal Adenocarcinoma without Distant Metastasis

Detection of Experimental Colorectal Peritoneal Metastases by a Novel PDGFRβ-Targeting Nanobody

Integrated multi-omics analysis reveals miR-20a as a regulator for metabolic colorectal cancer

Circular RNA in Chemonaive Lymph Node Negative Colon Cancer Patients

Primary Colorectal Tumor Displays Differential Genomic Expression Profiles Associated with Hepatic and Peritoneal Metastases


Code, unit tests, and tutorials for running PICRUSt2

PICRUSt2: An improved and customizable approach for metagenome inference

Seasonal shifts in the gut microbiome indicate plastic responses to diet in wild geladas

Lactobacillus plantarum PS128 alleviates neurodegenerative progression in 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine-induced mouse models of Parkinson's disease

Metformin attenuated sepsis-related liver injury by modulating gut microbiota

Piphillin predicts metagenomic composition and dynamics from DADA2-corrected 16S rDNA sequences

Repeated sleep disruption in mice leads to persistent shifts in the fecal microbiome and metabolome

A Korean-Style Balanced Diet Has a Potential Connection with Ruminococcaceae Enterotype and Reduction of Metabolic Syndrome Incidence in Korean Adults

Soil Microbial Diversity and Community Composition in Rice–Fish Co-Culture and Rice Monoculture Farming System

Ridinilazole, a narrow spectrum antibiotic for treatment of Clostridioides difficile infection, enhances preservation of microbiota-dependent bile acids

American journal of physiology. Gastrointestinal and liver physiology

Metformin Mitigates Sepsis-Related Neuroinflammation via Modulating Gut Microbiota and Metabolites


Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video

Unsupervised Scale-Consistent Depth Learning from Video

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy: Appearance Flow to the Rescue


PixelNeRF Official Repository

pixelNeRF: Neural Radiance Fields from One or Few Images

Generative Novel View Synthesis with 3D-Aware Diffusion Models

Diffusion with Forward Models: Solving Stochastic Inverse Problems Without Direct Supervision

FWD: Real-time Novel View Synthesis with Forward Warping and Depth

SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields

IEEE International Conference on Computer Vision

Control3Diff: Learning Controllable 3D Diffusion Models from Single-view Images

RTMV: A Ray-Traced Multi-View Synthetic Dataset for Novel View Synthesis

PVSeRF: Joint Pixel-, Voxel- and Surface-Aligned Radiance Field for Single-Image Novel View Synthesis


Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

Decomposing NeRF for Editing via Feature Field Distillation

Blending-NeRF: Text-Driven Localized Editing in Neural Radiance Fields

LightSpeed: Light and Fast Neural Light Fields on Mobile Devices

Surface Normal Clustering for Implicit Representation of Manhattan Scenes

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


Markov Decision Process (MDP) Toolbox for Python

A First-Order Approach to Accelerated Value Iteration

First-Order Methods for Wasserstein Distributionally Robust MDP

Lexicographic Multi-Objective Reinforcement Learning

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Trust-Aware Planning: Modeling Trust Evolution in Iterated Human-Robot Interaction

Beyond discounted returns: Robust Markov decision processes with average and Blackwell optimality


Collection of tools for building diachronic/historical word vectors

Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change

Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models

The Eurocentric Fallacy. A Digital-Historical Approach to the Concepts of ‘Modernity’, ‘Civilization’ and ‘Europe’ (1840–1990)

International Journal for History, Culture and Modernity

Changesin the midst ofa construction network: a diachronic construction grammar approach to complex prepositions denoting internal location

US News and Social Media Framing around Vaping

Collecting Tweets to Investigate Regional Variation in Canadian English

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

Seeing through the mess: evolutionary dynamics of lexical polysemy

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing


The codes of paper "Long Text Generation via Adversarial Training with Leaked Information"  on AAAI 2018.  Text generation using GAN and Hierarchical Reinforcement Learning.

Toward Diverse Text Generation with Inverse Reinforcement Learning

Data Augmentation for Modeling Human Personality: The Dexter Machine


PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Dynamic Graph CNN for Learning on Point Clouds

PAConv: Position Adaptive Convolution with Dynamic Kernel Assembling on Point Clouds

Jet tagging via particle clouds

Micro-Batch Training with Batch-Channel Normalization and Weight Standardization

Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds

PointGuard: Provably Robust 3D Point Cloud Classification

UV-Net: Learning from Boundary Representations

Binary Graph Neural Networks

Occlusion Resistant Object Rotation Regression from Point Cloud Segments


A curated list of research papers and resources on code-switching

Do Multilingual Users Prefer Chat-bots that Code-mix? Let's Nudge and Find Out!

Proceedings of the ACM on Human-Computer Interaction

The Decades Progress on Code-Switching Research in NLP: A Systematic Survey on Trends and Challenges

Training Data Augmentation for Code-Mixed Translation

Towards Translating Mixed-Code Comments from Social Media

Code-switching Language Modeling With Bilingual Word Embeddings: A Case Study for Egyptian Arabic-English


Code used for sourcing and cleaning the BigScience ROOTS corpus

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

Scaling Data-Constrained Language Models

In-Context Learning with Many Demonstration Examples

Extending the Pre-Training of BLOOM for Improved Support of Traditional Chinese: Models, Methods and Results

Sailor: Open Language Models for South-East Asia


Integrating the Best of TF into PyTorch, for Machine Learning, Natural Language Processing, and Text Generation.  This is part of the CASL project: http://casl-project.ai/

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

Multi-Rate VAE: Train Once, Get the Full Rate-Distortion Curve


ROOT I/O in pure Python and NumPy.

A FAIR and AI-ready Higgs boson decay dataset

MLaaS4HEP: Machine Learning as a Service for HEP

HL-LHC Computing Review: Common Tools and Community Software

ProIO: An event-based I/O stream format for protobuf messages

Fast Access to Columnar, Hierarchically Nested Data via Code Transformation

Machine Learning as a Service for HEP

Toward real-time data query systems in HEP

Analysis Cyberinfrastructure: Challenges and Opportunities

Gaining insight from large data volumes with ease

hepaccelerate: Fast Analysis of Columnar Collider Data


Python library for Reinforcement Learning.

MushroomRL: Simplifying Reinforcement Learning Research

Continuous Action Reinforcement Learning from a Mixture of Interpretable Experts

Boosting Object Representation Learning via Motion and Object Continuity

Continuous-Time Fitted Value Iteration for Robust Policies

Efficient Reinforcement Learning Development with RLzoo

An Empirical Analysis of Measure-Valued Derivatives for Policy Gradients

Batch Reinforcement Learning with a Nonparametric Off-Policy Policy Gradient


Advanced Terrestrial Simulator (ATS) development

Modeling the role of preferential snow accumulation in through talik development and hillslope groundwater flow in a transitional permafrost landscape

Permafrost thermal conditions are sensitive to shifts in snow timing

Extremely wet summer events enhance permafrost thaw for multiple years in Siberian tundra

Microtopographic control on the ground thermal regime in ice wedge polygons

Evaluating integrated surface/subsurface permafrost thermal hydrology models in ATS (v0.88) against observations from a polygonal tundra site

Evaluating simplifications of subsurface process representations for field-scale permafrost hydrology models

The thermal response of permafrost to coastal floodplain flooding


A Julia library for efficient tensor computations and tensor network calculations

The ITensor Software Library for Tensor Network Calculations

DMRG Approach to Optimizing Two-Dimensional Tensor Networks

Disentangling Interacting Systems with Fermionic Gaussian Circuits: Application to the Single Impurity Anderson Model


A Linux-capable RISC-V multicore for and by the world

OpenABC-D: A Large-Scale Dataset For Machine Learning Guided Integrated Circuit Synthesis

Assessment of Reinforcement Learning for Macro Placement

Hier-RTLMP: A Hierarchical Automatic Macro Placer for Large-scale Complex IP Blocks

Too Big to Fail? Active Few-Shot Learning Guided Logic Synthesis


OpenCompass is an LLM evaluation platform, supporting a wide range of models (Llama3, Mistral, InternLM2,GPT-4,LLaMa2, Qwen,GLM, Claude, etc) over 100+ datasets.

Baichuan 2: Open Large-scale Language Models

MMBench: Is Your Multi-modal Model an All-around Player?

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with Modality Collaboration

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models

Shadow Alignment: The Ease of Subverting Safely-Aligned Language Models

Qwen2 Technical Report

TrustLLM: Trustworthiness in Large Language Models

InternLM2 Technical Report

Are We on the Right Way for Evaluating Large Vision-Language Models?

RULER: What's the Real Context Size of Your Long-Context Language
  Models?


:microscope::books: Galaxy Tool wrappers

Open source molecular modeling

Journal of molecular graphics & modelling

NanoGalaxy: Nanopore long-read sequencing data analysis in Galaxy

Zenodo (CERN European Organization for Nuclear Research)

antaRNA – Multi-objective inverse folding of pseudoknot RNA using ant-colony optimization

Differences in activity and stability drive transposable element variation in tropical and temperate maize

The RNA workbench 2.0: next generation RNA data analysis

GraphClust2: Annotation and discovery of structured RNAs with scalable and accessible integrative clustering

Galaxy-ML: An accessible, reproducible, and scalable machine learning toolkit for biomedicine

Distinct mechanisms mediate X chromosome dosage compensation in Anopheles and Drosophila

Artificial Intelligent Deep Learning Molecular Generative Modeling of Scaffold-Focused and Cannabinoid CB2 Target-Specific Small-Molecule Sublibraries

Role of Staphylococcus agnetis and Staphylococcus hyicus in the Pathogenesis of Buffalo Fly Skin Lesions in Cattle


DEPRECATED: Open-source software for robot simulation, integrated with OpenAI Gym.

Reward Constrained Policy Optimization

Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion

Learning symmetric and low-energy locomotion

GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning

Non-smooth Newton Methods for Deformable Multi-body Dynamics

Recurrent Model-Free RL Can Be a Strong Baseline for Many POMDPs

Regularization Matters in Policy Optimization

Importance Sampling Policy Evaluation with an Estimated Behavior Policy

Balancing Two-Player Stochastic Games with Soft Q-Learning

Structured Control Nets for Deep Reinforcement Learning


Graph convolutional neural network for multirelational link prediction

Deep Learning on Graphs: A Survey

Modeling polypharmacy side effects with graph convolutional networks

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

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


NISQA - Non-Intrusive Speech Quality and TTS Naturalness Assessment

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

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

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

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

Deep Learning Based Assessment of Synthetic Speech Naturalness

DNN No-Reference PSTN Speech Quality Prediction

PolyVoice: Language Models for Speech to Speech Translation

Full-Reference Speech Quality Estimation with Attentional Siamese Neural Networks

International Conference on Acoustics, Speech, and Signal Processing

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

Boosting Large Language Model for Speech Synthesis: An Empirical Study


WebGLM: An Efficient Web-enhanced Question Answering System (KDD 2023)

WebGLM: Towards An Efficient Web-Enhanced Question Answering System with Human Preferences

WeaverBird: Empowering Financial Decision-Making with Large Language Model, Knowledge Base, and Search Engine

FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering


End-to-end learning of deep visual representations for image retrieval

Fine-tuning CNN Image Retrieval with No Human Annotation

Particular object retrieval with integral max-pooling of CNN activations

End-to-end Learning of Deep Visual Representations for Image Retrieval

Learning with Average Precision: Training Image Retrieval with a Listwise Loss

Robust and Decomposable Average Precision for Image Retrieval

ImPosing: Implicit Pose Encoding for Efficient Visual Localization

IEEE Workshop/Winter Conference on Applications of Computer Vision

TLDR: Twin Learning for Dimensionality Reduction

Evaluating Contrastive Models for Instance-based Image Retrieval

PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MULTIMEDIA RETRIEVAL (ICMR '21)

Learnable Pillar-based Re-ranking for Image-Text Retrieval

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

Deep Metric Learning for Ground Images


Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

Bootstrap your own latent: A new approach to self-supervised Learning

Understanding self-supervised Learning Dynamics without Contrastive Pairs

BYOL works even without batch statistics

An Empirical Study on Disentanglement of Negative-free Contrastive Learning

Leveraging Multi-Annotator Label Uncertainties as Privileged Information for Acute Respiratory Distress Syndrome Detection in Chest X-ray Images


ENCODE ChIP-seq pipeline

Base-resolution models of transcription factor binding reveal soft motif syntax

A compendium and comparative epigenomics analysis of cis-regulatory elements in the pig genome

The dynamic, combinatorial cis-regulatory lexicon of epidermal differentiation

YAP/TAZ drives cell proliferation and tumour growth via a polyamine-eIF5A hypusination-LSD1 axis

SETD2 loss perturbs the kidney cancer epigenetic landscape to promote metastasis and engenders actionable dependencies on histone chaperone complexes

Single nucleus multiomics identifies ZEB1 and MAFB as candidate regulators of Alzheimer’s disease-specific cis-regulatory elements

The long noncoding RNA Malat1 regulates CD8+ T cell differentiation by mediating epigenetic repression

Reshaping of the androgen-driven chromatin landscape in normal prostate cells by early cancer drivers and effect on therapeutic sensitivity

Genome-wide CRISPR-Cas9 screen identified KLF11 as a druggable suppressor for sarcoma cancer stem cells

Heterochromatin diversity modulates genome compartmentalization and loop extrusion barriers


ENCODE ATAC-seq pipeline

Activation of NF-κB and p300/CBP potentiates cancer chemoimmunotherapy through induction of MHC-I antigen presentation

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

PEPATAC: an optimized pipeline for ATAC-seq data analysis with serial alignments

Predicting transcription factor binding in single cells through deep learning

Massively parallel characterization of transcriptional regulatory elements in three diverse human cell types

bioRxiv : the preprint server for biology

Cortical RORβ is required for layer 4 transcriptional identity and barrel integrity

Single cell characterization of B-lymphoid differentiation and leukemic cell states during chemotherapy in ETV6-RUNX1-positive pediatric leukemia identifies drug-targetable transcription factor activities

Evidence of pioneer factor activity of an oncogenic fusion transcription factor

TGFβ promotes widespread enhancer chromatin opening and operates on genomic regulatory domains


Library for Knowledge Intensive Language Tasks

Retrieval Augmentation Reduces Hallucination in Conversation

KILT: a Benchmark for Knowledge Intensive Language Tasks

A Survey of Knowledge-enhanced Text Generation

Hurdles to Progress in Long-form Question Answering

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

Evidentiality-guided Generation for Knowledge-Intensive NLP Tasks

Fool Me Twice: Entailment from Wikipedia Gamification

Generating Information-Seeking Conversations from Unlabeled Documents

Reasoning over Public and Private Data in Retrieval-Based Systems

On the Influence of Masking Policies in Intermediate Pre-training


Janelia Animal Behavior Detector

Cortical pattern generation during dexterous movement is input-driven

Ventral hippocampal projections to the medial prefrontal cortex regulate social memory

Disrupting cortico-cerebellar communication impairs dexterity

Dynamics of the Cortico-Cerebellar Loop Fine-Tune Dexterous Movement


Robust representation of semantically constrained graphs, in particular for molecules in chemistry

Self-referencing embedded strings (SELFIES): A 100% robust molecular string representation

Data-Driven Strategies for Accelerated Materials Design

SELFIES and the future of molecular string representations

DECIMER - Towards Deep Learning for Chemical Image Recognition

FastFlows: Flow-Based Models for Molecular Graph Generation

VirtualFlow 2.0 - The Next Generation Drug Discovery Platform Enabling Adaptive Screens of 69 Billion Molecules

Recent advances in the self-referencing embedded strings (SELFIES) library


EasyTransfer is designed to make the development of transfer learning in NLP applications easier.

Kaleido-BERT: Vision-Language Pre-training on Fashion Domain

FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval

AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search

Deep Transfer Learning for Automatic Speech Recognition: Towards Better Generalization

Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains

Meta Fine-Tuning Neural Language Models for Multi-Domain Text Mining

EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing

EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform for NLP Applications


Scaffold genome sequence assemblies using linked or long read sequencing data

ABySS 2.0: resource-efficient assembly of large genomes using a Bloom filter

Genome sequencing and comparative analysis of Ficus benghalensis and Ficus religiosa species reveal evolutionary mechanisms of longevity


Pre facet calibration pipeline

The LOFAR Two-metre Sky Survey (LoTSS) III. First Data Release: optical/IR identifications and value-added catalogue

The LOFAR Two-metre Sky Survey

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

Systematic effects in LOFAR data: A unified calibration strategy

A radio ridge connecting two galaxy clusters in a filament of the cosmic web

LOFAR Discovery of a 23.5 s Radio Pulsar

Gentle reenergization of electrons in merging galaxy clusters

LOFAR discovery of an ultra-steep radio halo and giant head–tail radio galaxy in Abell 1132

Monthly Notices of the Royal Astronomical Society

A LOFAR study of non-merging massive galaxy clusters

The low-frequency radio eclipses of the black widow pulsar J1810+1744


python package for analyzing general circulation model output data


Fast and efficient ed25519 signing and verification in Rust.

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

Bullshark: DAG BFT Protocols Made Practical

Jolteon and Ditto: Network-Adaptive Efficient Consensus with Asynchronous Fallback

FastPay: High-Performance Byzantine Fault Tolerant Settlement

Be Aware of Your Leaders

uBFT: Microsecond-Scale BFT using Disaggregated Memory

Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, Volume 2

Zef: Low-latency, Scalable, Private Payments

Performance of EdDSA and BLS Signatures in Committee-Based Consensus

Robust, privacy-preserving, transparent, and auditable on-device blocklisting


A controls-oriented engineering wake model.

Design and Analysis of a Wake Steering Controller with Wind Direction Variability

Control-oriented model for secondary effects of wake steering

Results from a wake-steering experiment at a commercial wind plant: investigating the wind speed dependence of wake-steering performance

Controls-Oriented Model for Secondary Effects of Wake Steering

Wake steering optimization under uncertainty

Wind farm blockage effects: comparison of different engineering models

SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2020), PTS 1-5

Wind farm layout optimization with load constraints using surrogate modelling

Comparison of the Gaussian Wind Farm Model with Historical Data of Three Offshore Wind Farms

Evaluating Global Blockage engineering parametrizations with LES

Overview of FLORIS updates


StyleGAN Encoder - converts real images to latent space

Very Deep Convolutional Networks for Large-Scale Image Recognition

Rethinking the Inception Architecture for Computer Vision

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces

StyleGAN2 Distillation for Feed-forward Image Manipulation

High Resolution Face Age Editing

Disentangled Inference for GANs with Latently Invertible Autoencoder

3D-FM GAN: Towards 3D-Controllable Face Manipulation

ReGenMorph: Visibly Realistic GAN Generated Face Morphing Attacks by Attack Re-generation

Selective Microwave Zeroth-Order Resonator Sensor Aided by Machine Learning


GFF and GVF specification documents

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

Frontiers in bioengineering and biotechnology

ProphET, prophage estimation tool: A stand-alone prophage sequence prediction tool with self-updating reference database

Hamster PIWI proteins bind to piRNAs with stage-specific size variations during oocyte maturation

fagin: synteny-based phylostratigraphy and finer classification of young genes

Comparative Genomic Analysis of Antarctic Pseudomonas Isolates with 2,4,6-Trinitrotoluene Transformation Capabilities Reveals Their Unique Features for Xenobiotics Degradation

SilkPathDB: a comprehensive resource for the study of silkworm pathogens

Database : the journal of biological databases and curation

Approaches in Gene Coexpression Analysis in Eukaryotes

List.MID: A MIDI-Based Benchmark for Evaluating RDF Lists

Pergola: Boosting Visualization and Analysis of Longitudinal Data by Unlocking Genomic Analysis Tools

Recommendations for extending the GFF3 specification for improved interoperability of genomic data


Question generation using state-of-the-art Natural Language Processing algorithms

Ask to Know More: Generating Counterfactual Explanations for Fake Claims

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

AI based approach to Trailer Generation for Online Educational Courses


This repo accompanies the research paper, ARKitScenes - A Diverse Real-World Dataset for 3D Indoor Scene Understanding Using Mobile RGB-D Data and contains the data, scripts to visualize and process assets, and training code described in our paper.

ARKitScenes: A Diverse Real-World Dataset For 3D Indoor Scene Understanding Using Mobile RGB-D Data

NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection

Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection