Materials science with Python at the atomic-scale

In operando active learning of interatomic interaction during large-scale simulations

Machine Learning: Science and Technology

Correlations of non-affine displacements in metallic glasses through the yield transition

Hybrid quantum/classical study of hydrogen-decorated screw dislocations in tungsten: Ultrafast pipe diffusion, core reconstruction, and effects on glide mechanism

A Combined Experimental and Atomistic Investigation of PTFE Double Transfer Film Formation and Lubrication in Rolling Point Contacts

Exploring the configurational space of amorphous graphene with machine-learned atomic energies

Numerical-continuation-enhanced flexible boundary condition scheme applied to mode-I and mode-III fracture

LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite

Melting, bubble-like expansion and explosion of superheated plasmonic nanoparticles


Python package for graph statistics

GraSPy: Graph Statistics in Python

Graph Independence Testing

SaGess: Sampling Graph Denoising Diffusion Model for Scalable Graph Generation

Bilingual Lexicon Induction for Low-Resource Languages using Graph Matching via Optimal Transport

Valid Two-Sample Graph Testing via Optimal Transport Procrustes and Multiscale Graph Correlation with Applications in Connectomics

An Analysis of Euclidean vs. Graph-Based Framing for Bilingual Lexicon Induction from Word Embedding Spaces

Correcting a nonparametric two-sample graph hypothesis test for graphs with different numbers of vertices with applications to connectomics

Discovery of Multi-Level Network Differences Across Populations of Heterogeneous Connectomes


Text classification using deep learning models in Pytorch

Convolutional Neural Networks for Sentence Classification

A Structured Self-attentive Sentence Embedding

Semi-Supervised Multi-aspect Detection of Misinformation using Hierarchical Joint Decomposition

Identifying Misinformation from Website Screenshots

ABI Neural Ensemble Model for Gender Prediction Adapt Bar-Ilan Submission for the CLIN29 Shared Task on Gender Prediction


The full dataset behind paperswithcode.com

Mapping global dynamics of benchmark creation and saturation in artificial intelligence

reStructured Pre-training

Analyzing Dataset Annotation Quality Management in the Wild

Navigating Dataset Documentations in AI: A Large-Scale Analysis of Dataset Cards on Hugging Face

Linked Papers With Code: The Latest in Machine Learning as an RDF Knowledge Graph


CoVoST: A Large-Scale Multilingual Speech-To-Text Translation Corpus (CC0 Licensed)

Common Voice: A Massively-Multilingual Speech Corpus

XLS-R: Self-supervised Cross-lingual Speech Representation Learning at Scale

Multilingual Speech Translation from Efficient Finetuning of Pretrained Models

Meeting of the Association for Computational Linguistics

CoVoST 2 and Massively Multilingual Speech-to-Text Translation

CoVoST: A Diverse Multilingual Speech-To-Text Translation Corpus

Large-Scale Self- and Semi-Supervised Learning for Speech Translation

Sample, Translate, Recombine: Leveraging Audio Alignments for Data Augmentation in End-to-end Speech Translation

GenTranslate: Large Language Models are Generative Multilingual Speech
  and Machine Translators

Towards a Deep Understanding of Multilingual End-to-End Speech Translation

The Xiaomi AI Lab’s Speech Translation Systems for IWSLT 2023 Offline Task, Simultaneous Task and Speech-to-Speech Task

Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)


Hyperbolic Knowledge Graph embeddings.

Low-Dimensional Hyperbolic Knowledge Graph Embeddings

Self-Supervised Learning of Contextual Embeddings for Link Prediction in Heterogeneous Networks

Hyperbolic Temporal Knowledge Graph Embeddings with Relational and Time Curvatures

Hyperbolic Geometry is Not Necessary: Lightweight Euclidean-Based Models for Low-Dimensional Knowledge Graph Embeddings

SMiLE: Schema-augmented Multi-level Contrastive Learning for Knowledge Graph Link Prediction

Complex Hyperbolic Knowledge Graph Embeddings with Fast Fourier Transform

KACC: A Multi-task Benchmark for Knowledge Abstraction, Concretization and Completion

Unit Ball Model for Embedding Hierarchical Structures in the Complex Hyperbolic Space


Hydra: A Real-time Spatial Perception System for 3D Scene Graph Construction and Optimization

Foundations of spatial perception for robotics: Hierarchical representations and real-time systems


Official implementation of "Designing an Encoder for StyleGAN Image Manipulation"  (SIGGRAPH 2021) https://arxiv.org/abs/2102.02766

SDEdit: Guided Image Synthesis and Editing with Stochastic Differential Equations

FlexIT: Towards Flexible Semantic Image Translation

FICE: Text-Conditioned Fashion Image Editing With Guided GAN Inversion

Feature-Style Encoder for Style-Based GAN Inversion

Learning Detailed Radiance Manifolds for High-Fidelity and 3D-Consistent Portrait Synthesis from Monocular Image

Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps

A Chinese Face Dataset with Dynamic Expressions and Diverse Ages Synthesized by Deep Learning


NIST_FRVT Top 1 Face Recognition, Liveness Detection(Face Anti-Spoof), Face Attribute Analysis Linux Server SDK Demo ☑ Face Recognition ☑ Face Liveness Detection ☑ Face Attribute Analysis

DeepID3: Face Recognition with Very Deep Neural Networks

Learning Meta Face Recognition in Unseen Domains

Can we still avoid automatic face detection?

FLIP: Cross-domain Face Anti-spoofing with Language Guidance

Identity-driven Three-Player Generative Adversarial Network for Synthetic-based Face Recognition

FRCSyn Challenge at WACV 2024:Face Recognition Challenge in the Era of Synthetic Data

EFaR 2023: Efficient Face Recognition Competition

TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric Perspective

Wild Face Anti-Spoofing Challenge 2023: Benchmark and Results

Invariant Feature Regularization for Fair Face Recognition


The Rice Wavelet Toolbox (RWT) is a collection of Matlab M-files and C MEX-files for 1D and 2D wavelet and filter bank design, analysis, and processing. The toolbox provides tools for denoising and interfaces directly with our Matlab code for wavelet domain hidden Markov models and wavelet regularized deconvolution.

Two Metropolis-Hastings algorithms for posterior measures with non-Gaussian priors in infinite dimensions

An interpretable MRI reconstruction network with two-grid-cycle correction and geometric prior distillation

Algorithms and software for projections onto intersections of convex and non-convex sets with applications to inverse problems

Compressed Sensing for Scalable Robotic Tactile Skins


perl cworld module and collection of utility/analysis scripts for C data (3C, 4C, 5C, Hi-C)

A chromosome folding intermediate at the condensin-to-cohesin transition during telophase

CTCF sites display cell cycle–dependent dynamics in factor binding and nucleosome positioning

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

The non-canonical SMC protein SmcHD1 antagonises TAD formation and compartmentalisation on the inactive X chromosome

HiC-spector: a matrix library for spectral and reproducibility analysis of Hi-C contact maps

Hi-C analysis: from data generation to integration

Single-cell measurement of higher-order 3D genome organization with scSPRITE

Differential contribution of steady-state RNA and active transcription in chromatin organization

Orientation-dependent Dxz4 contacts shape the 3D structure of the inactive X chromosome

Megadomains and superloops form dynamically but are dispensable for X-chromosome inactivation and gene escape


improves over nerf in 360 capture of unbounded scenes

NeRF++: Analyzing and Improving Neural Radiance Fields

Volume Rendering of Neural Implicit Surfaces

CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation

Reconstructing Objects in-the-wild for Realistic Sensor Simulation

AR-NeRF: Unsupervised Learning of Depth and Defocus Effects from Natural Images with Aperture Rendering Neural Radiance Fields


Side Channels Analysis and Deep Learning

Deep learning for side-channel analysis and introduction to ASCAD database

Reinforcement Learning for Hyperparameter Tuning in Deep Learning-based Side-channel Analysis

IACR Transactions on Cryptographic Hardware and Embedded Systems

Strength in Numbers: Improving Generalization with Ensembles in Machine Learning-based Profiled Side-channel Analysis

Exploring Feature Selection Scenarios for Deep Learning-based Side-channel Analysis

Ranking Loss: Maximizing the Success Rate in Deep Learning Side-Channel Analysis

An Enhanced Convolutional Neural Network in Side-Channel Attacks and Its Visualization

Auto-tune POIs: Estimation of distribution algorithms for efficient side-channel analysis

Information Theory-based Evolution of Neural Networks for Side-channel Analysis

No (good) loss no gain: systematic evaluation of loss functions in deep learning-based side-channel analysis

Perceived Information Revisited


Spike sorting software

Scaling Spike Detection and Sorting for Next Generation Electrophysiology

Rhythmic coordination and ensemble dynamics in the hippocampal-prefrontal network during odor-place associative memory and decision making

Coordinated head direction representations in mouse anterodorsal thalamic nucleus and retrosplenial cortex.


EGO-Planner: An ESDF-Free Gradient-Based Local Planner for Quadrotors

Autonomous Drone Racing: A Survey

Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs


ASL Structural Inspection Planner

Autonomous Teamed Exploration of Subterranean Environments using Legged and Aerial Robots

Motion Primitives-based Navigation Planning using Deep Collision Prediction

Design and Control of an Aerial Manipulator for Contact-based Inspection

Semantics-aware Exploration and Inspection Path Planning

Visual-Inertial Odometry-enhanced Geometrically Stable ICP for Mapping Applications using Aerial Robots

Realizing the Aerial Robotic Worker for Inspection Operations


Pipeline for differential gene expression (DGE) and differential transcript usage (DTU) analysis using long reads

In Vivo Validation of Alternative FDXR Transcripts in Human Blood in Response to Ionizing Radiation

International journal of molecular sciences

The Increase in the Drug Resistance of Acute Myeloid Leukemia THP-1 Cells in High-Density Cell Culture Is Associated with Inflammatory-like Activation and Anti-Apoptotic Bcl-2 Proteins

Transcript capture and ultradeep long-read RNA sequencing (CAPLRseq) to diagnose HNPCC/Lynch syndrome

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

Single-Molecule RNA Sequencing Reveals IFNγ-Induced Differential Expression of Immune Escape Genes in Merkel Cell Polyomavirus–Positive MCC Cell Lines


A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

GCNs-Net: A Graph Convolutional Neural Network Approach for Decoding Time-Resolved EEG Motor Imagery Signals

Attention-based Graph ResNet for Motor Intent Detection from Raw EEG signals

Deep Feature Mining via the Attention-Based Bidirectional Long Short Term Memory Graph Convolutional Neural Network for Human Motor Imagery Recognition

Frontiers in bioengineering and biotechnology

An overview of open source Deep Learning-based libraries for Neuroscience


An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.

Superpixels: An evaluation of the state-of-the-art

Superpixel segmentations for thin sections: Evaluation of methods to enable the generation of machine learning training data sets

Saliency-guided Adaptive Seeding for Supervoxel Segmentation

Rooted Spanning Superpixels

International Journal of Computer Vision

CONIC: Contour Optimized Non-Iterative Clustering Superpixel Segmentation

An Efficient Hybrid Linear Clustering Superpixel Decomposition Framework for Traffic Scene Semantic Segmentation

Bilateral K-Means for Superpixel Computation (the SLIC Method)


Species occurrence data toolkit for R


Deep neural models for core NLP tasks (Pytorch version)

Deep Biaffine Attention for Neural Dependency Parsing

A Unified Model for Opinion Target Extraction and Target Sentiment Prediction

Stack-Pointer Networks for Dependency Parsing

Curriculum-based transfer learning for an effective end-to-end spoken language understanding and domain portability

Hierarchical Pointer Net Parsing

Recent Advances in End-to-End Spoken Language Understanding

Statistical Language and Speech Processing

SC-LSTM: Learning Task-Specific Representations in Multi-Task Learning for Sequence Labeling

North American Chapter of the Association for Computational Linguistics

End-to-end named entity extraction from speech

Absolute convergence and error thresholds in non-active adaptive sampling

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

How to Use Gazetteers for Entity Recognition with Neural Models

International Joint Conference on Artificial Intelligence


Code for CRATE (Coding RAte reduction TransformEr).

Emergence of Segmentation with Minimalistic White-Box Transformers

White-Box Transformers via Sparse Rate Reduction: Compression Is All There Is?

Masked Completion via Structured Diffusion with White-Box Transformers


A library for X-ray matter interaction cross sections for X-ray fluorescence applications

X-ray radiative transfer in protoplanetary disks - The role of dust and X-ray background fields

Examining molecular clouds in the Galactic Centre region using X-ray reflection spectra simulations

Monthly Notices of the Royal Astronomical Society

Measuring the Thickness of Metal Films: A Selection Guide to the Most Suitable Technique

2nd Coatings and Interfaces Web Conference (CIWC-2 2020)

Beamline simulations using monochromators with high d-spacing crystals


AFINN sentiment analysis in Python

Over a Decade of Social Opinion Mining: A Systematic Review

A Review of Different Approaches for Detecting Emotion from Text

IOP Conference Series: Materials Science and Engineering

A systematic review of machine learning techniques for stance detection and its applications

Subversive Toxicity Detection using Sentiment Information

THIRD WORKSHOP ON ABUSIVE LANGUAGE ONLINE

Ternary Twitter Sentiment Classification with Distant Supervision and Sentiment-Specific Word Embeddings

Empirical Methods in Natural Language Processing

Prediction of USA November 2020 Election Results Using Multifactor Twitter Data Analysis Method

Impact of Sentiment Detection to Recognize Toxic and Subversive Online Comments

Lexicon-Enhancement of Embedding-based Approaches Towards the Detection of Abusive Language

Workshop on Trolling, Aggression and Cyberbullying

Using Sentiment Information for Preemptive Detection of Toxic Comments in Online Conversations

Using Sentiment Information for Preemptive Detection of Harmful Comments in Online Conversations

Canadian Conference on Artificial Intelligence


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

SmartCheck: Static Analysis of Ethereum Smart Contracts

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

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

Zenodo (CERN European Organization for Nuclear Research)

Systematic Review of Security Vulnerabilities in Ethereum Blockchain Smart Contract

Smart Contract Vulnerability Detection Technique: A Survey

An Analysis of Smart Contracts Security Threats Alongside Existing Solutions

Profiling Gas Consumption in Solidity Smart Contracts

TokenHook: Secure ERC-20 smart contract

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

VulnHunt-GPT: a Smart Contract vulnerabilities detector based on OpenAI chatGPT

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


Mummer alignment tool

A chromosome-level draft genome of the grain aphid Sitobion miscanthi

The genome of Nautilus pompilius illuminates eye evolution and biomineralization

Analysis of an improved Cyanophora paradoxa genome assembly

DNA research : an international journal for rapid publication of reports on genes and genomes

Construction of Pseudomolecules for the Chinese Chestnut (Castanea mollissima) Genome

Improved Methods for Acetocarmine and Haematoxylin Staining to Visualize Chromosomes in the Filamentous Green Alga Zygnema (Charophyta)

bioRxiv : the preprint server for biology

Tracking the Distribution of Brucella abortus in Egypt Based on Core Genome SNP Analysis and In Silico MLVA-16

A comprehensive update to the Mycobacterium tuberculosis H37Rv reference genome

Campylobacter bacteriophage DA10: an excised temperate bacteriophage targeted by CRISPR-cas

Dissecting the control of shoot development in grapevine: genetics and genomics identify potential regulators

Improved Assembly of Metagenome-Assembled Genomes and Viruses in Tibetan Saline Lake Sediment by HiFi Metagenomic Sequencing


An automatic ML model optimization tool.

Multi-Modal Emotion recognition on IEMOCAP Dataset using Deep Learning

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

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


Crawler for linguistic corpora

Building Machine Translation Systems for the Next Thousand Languages

Language ID in the Wild: Unexpected Challenges on the Path to a Thousand-Language Web Text Corpus

Trafilatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction

Meeting of the Association for Computational Linguistics

A Fast, Compact, Accurate Model for Language Identification of Codemixed Text

English–Welsh Cross-Lingual Embeddings


Atomistica is a library of interatomic potentials that is compatible with ASE and LAMMPS

Machine Learning a General-Purpose Interatomic Potential for Silicon

Screened empirical bond-order potentials for Si-C

Humidity-dependent lubrication of highly loaded contacts by graphite and a structural transition to turbostratic carbon

Solid-Phase Silicon Homoepitaxy via Shear-Induced Amorphization and Recrystallization.

Comprehensive structural changes in nanoscale-deformed silicon modelled with an integrated atomic potential


DEPRECATED, now in sktime - companion package for deep learning based on TensorFlow

sktime: A Unified Interface for Machine Learning with Time Series

HIVE-COTE 2.0: a new meta ensemble for time series classification

The Canonical Interval Forest (CIF) Classifier for Time Series Classification

The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier

Forecasting with sktime: Designing sktime's New Forecasting API and Applying It to Replicate and Extend the M4 Study


The Unusual Initial Mass Function of the Arches Cluster

Powerful winds in high-redshift obscured and red quasars

Characterizing and Improving the Data Reduction Pipeline for the Keck OSIRIS Integral Field Spectrograph

Multiphase Outflows in High-redshift Quasar Host Galaxies

The OSIRIS Lens-amplified Survey (OLAS). I. Dynamical Effects of Stellar Feedback in Low-mass Galaxies at z ∼ 2

A Slowly Precessing Disk in the Nucleus of M31 as the Feeding Mechanism for a Central Starburst

Imaging Spectroscopy of Ionized Gaseous Nebulae around Optically Faint AGN at Redshift z ~ 2

Multi-resolution angular momentum measurements of z~1.5-2 star-forming galaxies


GalSim based Rubin Observatory image simulation package

The LSST DESC DC2 Simulated Sky Survey

The Astrophysical Journal Supplement Series

mirisim: a simulator for the Mid-Infrared Instrument on JWST

SNIa Cosmology Analysis Results from Simulated LSST Images: From Difference Imaging to Constraints on Dark Energy

The LSST DESC data challenge 1: generation and analysis of synthetic images for next-generation surveys

Image simulations for strong and weak gravitational lensing

Enabling Catalog Simulations of Transient and Variable Sources Based on LSST Cadence Strategies

A joint Roman Space Telescope and Rubin Observatory synthetic wide-field imaging survey

Improving Photometric Redshift Estimates with Training Sample Augmentation


A tool to circularize genome assemblies

Diversity of Pectobacteriaceae Species in Potato Growing Regions in Northern Morocco

Comparative genomics in “Candidatus Kuenenia stuttgartiensis” reveal high genomic plasticity in the overall genome structure, CRISPR loci and surface proteins

Complete Genome Sequence of Phascolarctobacterium faecium G 104, Isolated from the Stools of a Healthy Lean Donor

Agarose-Degrading Characteristics of a Deep-Sea Bacterium Vibrio Natriegens WPAGA4 and Its Cold-Adapted GH50 Agarase Aga3420

Genomic Characterization of a Uropathogenic Escherichia coli ST405 Isolate Harboring blaCTX-M-15-Encoding IncFIA-FIB Plasmid, blaCTX-M-24-Encoding IncI1 Plasmid, and Phage-Like Plasmid

Complete Genome Sequence of Paradevosia shaoguanensis Type Strain J5-3, Obtained Using Nanopore and Illumina Sequencing Technologies

Complete Genome Sequences of Two Avilamycin-Resistant Enterococcus faecium Strains Isolated from Chicken in the United States

Whole-Genome Sequencing of Pig Gut Lactobacillus amylovorus CICC 6090


A library to model multivariate data using copulas.

Standardised Metrics and Methods for Synthetic Tabular Data Evaluation

Inference and Sampling for Archimax Copulas


Idealized GCM from the University of Exeter

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

Quarterly Journal of the Royal Meteorological Society

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

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

Reduced terrestrial evaporation increases atmospheric water vapor by generating cloud feedbacks

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

Role of Surface Gravity Waves in Aquaplanet Ocean Climates

Journal of advances in modeling earth systems

Non‐Uniqueness in ITCZ Latitude Due To Radiation‐Circulation Coupling in an Idealized GCM

Journal of Advances in Modeling Earth Systems


Free Weather Forecast API for non-commercial use


Solhint is an open-source project to provide a linting utility for Solidity code.

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

The Security Reference Architecture for Blockchains: Toward a Standardized Model for Studying Vulnerabilities, Threats, and Defenses

IEEE Communications Surveys and Tutorials

A Security Reference Architecture for Blockchains

SolidityCheck : Quickly Detecting Smart Contract Problems Through Regular Expressions

Smart Contract and DeFi Security Tools: Do They Meet the Needs of Practitioners?

Assessing Smart Contracts Security Technical Debts

AutoMESC: Automatic Framework for Mining and Classifying Ethereum Smart Contract Vulnerabilities and Their Fixes

Soley: Identification and Automated Detection of Logic Vulnerabilities
  in Ethereum Smart Contracts Using Large Language Models

A Comparative Evaluation of Automated Analysis Tools for Solidity Smart Contracts


Astropy package for source detection and photometry. Maintainer: @larrybradley

K2 ROTATION PERIODS FOR LOW-MASS HYADS AND THE IMPLICATIONS FOR GYROCHRONOLOGY

DustPedia: Multiwavelength photometry and imagery of 875 nearby galaxies in 42 ultraviolet-microwave bands

ATLASGAL-selected massive clumps in the inner Galaxy - III. Dust continuum characterization of an evolutionary sample

Core-collapse, superluminous, and gamma-ray burst supernova host galaxy populations at low redshift: the importance of dwarf and starbursting galaxies

Monthly Notices of the Royal Astronomical Society

GRANDMA and HXMT Observations of GRB 221009A: The Standard Luminosity Afterglow of a Hyperluminous Gamma-Ray Burst—In Gedenken an David Alexander Kann

Dust emission profiles of DustPedia galaxies

The AGN luminosity fraction in merging galaxies

Point-spread Function Ramifications and Deconvolution of a Signal Dependent Blur Kernel Due to Interpixel Capacitive Coupling

Publications of the Astronomical Society of the Pacific

The AGN contribution to the UV–FIR luminosities of interacting galaxies and its role in identifying the main sequence

Evolution of Nonparametric Morphology of Galaxies in the JWST CEERS Field at z ≃ 0.8–3.0


ImageNet classifier with state-of-the-art adversarial robustness

Feature Denoising for Improving Adversarial Robustness

A simple way to make neural networks robust against diverse image corruptions

Intriguing properties of adversarial training at scale

Black-Box Adversarial Attack with Transferable Model-based Embedding

Improving Adversarial Robustness via Channel-wise Activation Suppressing

Diversity can be Transferred: Output Diversification for White- and Black-box Attacks

An Alternative Surrogate Loss for PGD-based Adversarial Testing

Boosting the Transferability of Adversarial Attacks with Reverse Adversarial Perturbation

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

CorrAttack: Black-box Adversarial Attack with Structured Search


A web client that scrapes YouTube comments

Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Text

A Sentiment Analysis Dataset for Code-Mixed Malayalam-English

HopeEDI: A Multilingual Hope Speech Detection Dataset for Equality, Diversity, and Inclusion

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

Multilingual hope speech detection in English and Dravidian languages

International journal of data science and analytics

MHE: Code-Mixed Corpora for Similar Language Identification

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Viewing Trends and Users’ Perceptions of the Effect of Sleep-Aiding Music on YouTube: Quantification and Thematic Content Analysis


Playing with Words at the National Library of Sweden -- Making a Swedish BERT

Pre-training Polish Transformer-based Language Models at Scale

Improving text mining in plant health domain with GAN and/or pre-trained language model

Implant Term Extraction from Swedish Medical Records – Phase 1: Lessons Learned

Linköping electronic conference proceedings

Classifying Implant-Bearing Patients via their Medical Histories: a Pre-Study on Swedish EMRs with Semi-Supervised GanBERT


Python scripts for training/testing paragraph vectors

SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation

An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation

Simple Unsupervised Keyphrase Extraction using Sentence Embeddings

Reconsidering Representation Alignment for Multi-view Clustering

Extractive single document summarization using binary differential evolution: Optimization of different sentence quality measures

How Well Do Embedding Models Capture Non-compositionality? A View from Multiword Expressions

Workshop on Evaluating Vector-Space Representations for NLP

Heteroglossia: In-Situ Story Ideation with the Crowd

PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20)

Evaluating Composition Models for Verb Phrase Elliptical Sentence Embeddings

North American Chapter of the Association for Computational Linguistics

Word Usage Similarity Estimation with Sentence Representations and Automatic Substitutes

Context Aware Document Embedding


Multi-view Diffusion for 3D Generation

MVDream: Multi-view Diffusion for 3D Generation

UniDream: Unifying Diffusion Priors for Relightable Text-to-3D Generation

GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation


Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

StarGAN v2: Diverse Image Synthesis for Multiple Domains

Unsupervised Object Learning via Common Fate

CAM-GAN: Continual Adaptation Modules for Generative Adversarial Networks

Gradient Descent-Ascent Provably Converges to Strict Local Minmax Equilibria with a Finite Timescale Separation


Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series: From Discretization to Attention and Invariance.

NRTSI: Non-Recurrent Time Series Imputation

Neural Ordinary Differential Equations for Intervention Modeling

Continuous Latent Process Flows

Enhancing human-machine teaming for medical prognosis through neural ordinary differential equations (NODEs)

Learning PDE Solution Operator for Continuous Modeling of Time-Series


The Tatoeba Translation Challenge -- Realistic Data Sets for Low Resource and Multilingual MT

The paradox of the compositionality of natural language: a neural machine translation case study

Interpreting Language Models with Contrastive Explanations

Survey on Publicly Available Sinhala Natural Language Processing Tools and Research

How BPE Affects Memorization in Transformers

SMaLL-100: Introducing Shallow Multilingual Machine Translation Model for Low-Resource Languages

Domain-Specific Text Generation for Machine Translation

Democratizing neural machine translation with OPUS-MT

Four Approaches to Low-Resource Multilingual NMT: The Helsinki Submission to the AmericasNLP 2023 Shared Task

Proceedings of the Workshop on Natural Language Processing for Indigenous Languages of the Americas (AmericasNLP)

Attentive fine-tuning of Transformers for Translation of low-resourced languages @LoResMT 2021


Code for Biterm Topic Model (published in WWW 2013)

Semi-Supervised Approach to Monitoring Clinical Depressive Symptoms in Social Media

Topic Modeling over Short Texts by Incorporating Word Embeddings

Topic-Aware Neural Keyphrase Generation for Social Media Language

Short Text Topic Modeling with Topic Distribution Quantization and Negative Sampling Decoder

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

A Latent Concept Topic Model for Robust Topic Inference Using Word Embeddings

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2016), VOL 2

Topic Extraction from Microblog Posts Using Conversation Structures

Coupling Global and Local Context for Unsupervised Aspect Extraction

Empirical Methods in Natural Language Processing

Topic Modeling based on Keywords and Context

A Joint Model of Conversational Discourse and Latent Topics on Microblogs

Attentive Representation Learning With Adversarial Training for Short Text Clustering


On the Variance of the Adaptive Learning Rate and Beyond

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

Meeting of the Association for Computational Linguistics

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

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

PLATON: Pruning Large Transformer Models with Upper Confidence Bound of Weight Importance

Architectural Patterns for the Design of Federated Learning Systems

A Hybrid Neural Network Model for Commonsense Reasoning

FLRA: A Reference Architecture for Federated Learning Systems

CLUES: Few-Shot Learning Evaluation in Natural Language Understanding

Adversarial Regularization as Stackelberg Game: An Unrolled Optimization Approach


Surrogate Optimization Toolbox for Python

pySOT and POAP: An event-driven asynchronous framework for surrogate optimization

Escaping local minima with local derivative-free methods: a numerical investigation

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

Meta-matching as a simple framework to translate phenotypic predictive models from big to small data

A multi-fidelity RBF surrogate-based optimization framework for computationally expensive multi-modal problems with application to capacity planning of manufacturing systems

Structural and Multidisciplinary Optimization

Rocketsled: a software library for optimizing high-throughput computational searches

Fast 4D cone-beam CT from 60 s acquisitions

Physics and imaging in radiation oncology

On the implementation of a global optimization method for mixed-variable problems

Efficient Multi-Objective Optimization through Population-based Parallel Surrogate Search

Hyperparameter Transfer Learning through Surrogate Alignment for Efficient Deep Neural Network Training


LLM that combines the principles of wizardLM and vicunaLM

What Do Llamas Really Think? Revealing Preference Biases in Language Model Representations

Combating Adversarial Attacks with Multi-Agent Debate


A package to download ECMWF open data


Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Simultaneously Reconciled Quantile Forecasting of Hierarchically Related Time Series

A deep learning approach to solar radio flux forecasting

End-to-End Modeling Hierarchical Time Series Using Autoregressive Transformer and Conditional Normalizing Flow based Reconciliation

SLOTH: Structured Learning and Task-based Optimization for Time Series Forecasting on Hierarchies

Full Scaling Automation for Sustainable Development of Green Data Centers

Counterfactual Explanations for Time Series Forecasting


Adaptive Skip-gram implementation in Julia

Breaking Sticks and Ambiguities with Adaptive Skip-gram

Conditional Generators of Words Definitions

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

Zenodo (CERN European Organization for Nuclear Research)

Improving Document Classification with Multi-Sense Embeddings

Improving Neural Sequence Labelling using Additional Linguistic Information

Evaluating a Multi-sense Definition Generation Model for Multiple Languages


The Distributed Generation Market Demand (dGen) model simulates customer adoption of distributed energy resources (DERs) for residential, commercial, and industrial entities in the United States and other countries.

Forecasting distributed energy resources adoption for power systems


Double Dummy Solver written in C++ for the Bridge Card Game

Joint Policy Search for Multi-agent Collaboration with Imperfect Information

Pgx: Hardware-Accelerated Parallel Game Simulators for Reinforcement Learning


A Large-Scale Few-Shot Relation Extraction Dataset

A Survey on Text Classification: From Shallow to Deep Learning

FewRel 2.0: Towards More Challenging Few-Shot Relation Classification

Learning from Context or Names? An Empirical Study on Neural Relation Extraction

Hierarchical Attention Prototypical Networks for Few-Shot Text Classification

Few-shot Relation Extraction via Bayesian Meta-learning on Relation Graphs

Incremental Few-shot Text Classification with Multi-round New Classes: Formulation, Dataset and System

Unified Semantic Typing with Meaningful Label Inference

Chain of Thought with Explicit Evidence Reasoning for Few-shot Relation Extraction

PAC Prediction Sets for Meta-Learning

Ensemble Making Few-Shot Learning Stronger


folk music modelling with LSTM

Music transcription modelling and composition using deep learning

Artificial Intelligence and Music: Open Questions of Copyright Law and Engineering Praxis

Taking the Models back to Music Practice: Evaluating Generative Transcription Models built using Deep Learning

Explicitly Conditioned Melody Generation: A Case Study with Interdependent RNNs

Exploring Variational Auto-encoder Architectures, Configurations, and Datasets for Generative Music Explainable AI

On the encoding of natural music in computational models and human brains


SPINN (Stack-augmented Parser-Interpreter Neural Network): fast, batchable, context-aware TreeRNNs

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

A Fast Unified Model for Parsing and Sentence Understanding

RNNs Implicitly Implement Tensor Product Representations


PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and language

NeMo: a toolkit for building AI applications using Neural Modules

Leveraging Medical Visual Question Answering with Supporting Facts

PyTorchPipe: a framework for rapid prototyping of pipelines combining language and vision


The Tractor: measuring astronomical sources via probabilistic inference

Overview of the DESI Legacy Imaging Surveys

The DESI Experiment Part I: Science,Targeting, and Survey Design

First Discoveries of z > 6 Quasars with the DECam Legacy Survey and UKIRT Hemisphere Survey

The Circumgalactic Medium of eBOSS Emission Line Galaxies: Signatures of Galactic Outflows in Gas Distribution and Kinematics

The SDSS-IV extended Baryon Oscillation Spectroscopic Survey: final emission line galaxy target selection

Monthly Notices of the Royal Astronomical Society

The Early Data Release of the Dark Energy Spectroscopic Instrument

Galaxy clustering in the DESI Legacy Survey and its imprint on the CMB

Variations in the Width, Density, and Direction of the Palomar 5 Tidal Tails

Preliminary Target Selection for the DESI Bright Galaxy Survey (BGS)

Mining for Strong Gravitational Lenses with Self-supervised Learning


Transformers learn in-context by gradient descent

μNCA: Texture Generation with Ultra-Compact Neural Cellular Automata

Texture Generation with Neural Cellular Automata

MPLP: Learning a Message Passing Learning Protocol

Growing Steerable Neural Cellular Automata


Effortless AI-assisted data labeling with AI support from YOLO, Segment Anything (SAM+SAM2), MobileSAM!!

A Survey on Segment Anything Model (SAM): Vision Foundation Model Meets Prompt Engineering

Segment Anything in Non-Euclidean Domains: Challenges and Opportunities

Multi-modal Perception Dataset of In-water Objects for Autonomous Surface Vehicles


Deep learning quantum Monte Carlo for electrons in real space

Deep neural network solution of the electronic Schrödinger equation

Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networks

A Self-Attention Ansatz for Ab-initio Quantum Chemistry

Gold-standard solutions to the Schrödinger equation using deep learning: How much physics do we need?

Convergence to the fixed-node limit in deep variational Monte Carlo

Forward Laplacian: A New Computational Framework for Neural Network-based Variational Monte Carlo


fast BAM/CRAM depth calculation for WGS, exome, or targeted sequencing

Mosdepth: quick coverage calculation for genomes and exomes

Rapid and comprehensive diagnostic method for repeat expansion diseases using nanopore sequencing

A paternal bias in germline mutation is widespread in amniotes and can arise independently of cell division numbers

Identification of Copy Number Variation in Domestic Chicken Using Whole-Genome Sequencing Reveals Evidence of Selection in the Genome

Animals : an open access journal from MDPI

A highly contiguous genome assembly reveals sources of genomic novelty in the symbiotic fungusRhizophagus irregularis

A Computational Framework for Comprehensive Genomic Profiling in Solid Cancers: The Analytical Performance of a High-Throughput Assay for Small and Copy Number Variants

Whole-exome sequencing in familial type 2 diabetes identifies an atypical missense variant in the RyR2 gene

Uncovering the true features of dystrophin gene rearrangement and improving the molecular diagnosis of Duchenne and Becker muscular dystrophies


mT5: A massively multilingual pre-trained text-to-text transformer

Towards Tracing Factual Knowledge in Language Models Back to the Training Data

Spotlight: Mobile UI Understanding using Vision-Language Models with a Focus

Bidirectional Language Models Are Also Few-shot Learners

ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages

Decoupled Context Processing for Context Augmented Language Modeling

ReMeDi: Resources for Multi-domain, Multi-service, Medical Dialogues

Bringing order into the realm of Transformer-based language models for artificial intelligence and law

Learning Translation Quality Evaluation on Low Resource Languages from Large Language Models

Open Problems in Computational Historical Linguistics


End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service

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

Affective and Contextual Embedding for Sarcasm Detection

International Conference on Computational Linguistics

Support-BERT: Predicting Quality of Question-Answer Pairs in MSDN using Deep Bidirectional Transformer


Python package for analysis of dynamic fluorescence microscopy data

SIMA: Python software for analysis of dynamic fluorescence imaging data

Hippocampal adult-born granule cells drive network activity in a mouse model of chronic temporal lobe epilepsy

Synaptogenic activity of the axon guidance molecule Robo2 underlies hippocampal circuit function

A cranial implant for stabilizing whole-cell patch-clamp recordings in behaving rodents


Antimicrobial Resistance Identification By Assembly

Rapid Methods for Antimicrobial Resistance Diagnostics

Detection of vancomycin-resistant Enterococcus faecium hospital-adapted lineages in municipal wastewater treatment plants indicates widespread distribution and release into the environment

Comparison of classical multi-locus sequence typing software for next-generation sequencing data

European Chlamydia abortus livestock isolate genomes reveal unusual stability and limited diversity, reflected in geographical signatures

Genome plasticity favours double chromosomal Tn4401b-blaKPC-2 transposon insertion in the Pseudomonas aeruginosa ST235 clone

Genome-Based Analysis of Enterococcus faecium Bacteremia Associated with Recurrent and Mixed-Strain Infection

Methodology for Whole-Genome Sequencing of Methicillin-Resistant Staphylococcus aureus Isolates in a Routine Hospital Microbiology Laboratory

Epidemiological and Molecular Characterization of an Invasive Group A Streptococcus emm32.2 Outbreak

First Report and Comparative Genomics Analysis of a blaOXA-244-Harboring Escherichia coli Isolate Recovered in the American Continent

Harmonisation of in-silico next-generation sequencing based methods for diagnostics and surveillance


A cross-platform proteomics data analysis suite

Three-dimensional feature matching improves coverage for single-cell proteomics based on ion mobility filtering

Benchmarking commonly used software suites and analysis workflows for DIA proteomics and phosphoproteomics

An automated and fast sample preparation workflow for laser microdissection guided ultrasensitive proteomics


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

Neural-Symbolic Recursive Machine for Systematic Generalization

Neural networks for abstraction and reasoning: Towards broad generalization in machines

Discovering Quantum Circuit Components with Program Synthesis

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


A Python toolkit for pathology image analysis algorithms.

Predicting cancer outcomes from histology and genomics using convolutional networks

Interactive phenotyping of large-scale histology imaging data with HistomicsML

DynaMorph: self-supervised learning of morphodynamic states of live cells

A Comparative Study of U-Net Topologies for Background Removal in Histopathology Images

Choice Over Effort: Mapping and Diagnosing Augmented Whole Slide Image Datasets with Training Dynamics

Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics

Towards More Reliable Unsupervised Tissue Segmentation Via Integrating Mass Spectrometry Imaging and Hematoxylin-Erosin Stained Histopathological Image

Classifying subtypes and predicting survival of renal cell carcinoma using histopathology image-based deep learning

A population-level computational histologic signature for invasive breast cancer prognosis


A new Categories library for Agda

Formalizing category theory in Agda

A computational interpretation of compact closed categories: reversible programming with negative and fractional types

Symposium on Principles of Programming Languages

Extensional equality preservation and verified generic programming

Mac Lane’s Comparison Theorem for the Kleisli Construction Formalized in Coq

The derivator of setoids

Proof-relevant Category Theory in Agda.

Univalent Double Categories

Insights From Univalent Foundations: A Case Study Using Double
  Categories


Paddle Multimodal Integration and eXploration, supporting mainstream multi-modal tasks, including end-to-end large-scale multi-modal pretrain models and diffusion model toolbox. Equipped with high performance and flexibility.

CoCa: Contrastive Captioners are Image-Text Foundation Models

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

EVA: Exploring the Limits of Masked Visual Representation Learning at Scale

EVA-CLIP: Improved Training Techniques for CLIP at Scale

All are Worth Words: A ViT Backbone for Diffusion Models

EVA-02: A Visual Representation for Neon Genesis


A pytorch reimplementation of CheXNet

ChestX-ray: Hospital-Scale Chest X-ray Database and Benchmarks on Weakly Supervised Classification and Localization of Common Thorax Diseases

Deep Learning and Convolutional Neural Networks for Medical Imaging and Clinical Informatics

CheXNet: Radiologist-Level Pneumonia Detection on Chest X-Rays with Deep Learning

Learning to diagnose from scratch by exploiting dependencies among labels

CovidAID: COVID-19 Detection Using Chest X-Ray

An artificial intelligence system for predicting the deterioration of COVID-19 patients in the emergency department

Towards evaluating the robustness of deep diagnostic models by adversarial attack

Pneumothorax detection in chest radiographs: optimizing artificial intelligence system for accuracy and confounding bias reduction using in-image annotations in algorithm training

Discovering and Mitigating Visual Biases through Keyword Explanation

An Aggregate Method for Thorax Diseases Classification


Face Detection with the Faster R-CNN

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Face Detection with the Faster R-CNN

Pushing the Limits of Unconstrained Face Detection: a Challenge Dataset and Baseline Results

CultureNet: A Deep Learning Approach for Engagement Intensity Estimation from Face Images of Children with Autism

HLA-Face: Joint High-Low Adaptation for Low Light Face Detection

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


Learning Correspondence from the Cycle-consistency of Time (CVPR 2019)

Learning Correspondence from the Cycle-Consistency of Time

Unsupervised Learning of Dense Visual Representations


Learning to Few-Shot Learn Across Diverse Natural Language Classification Tasks

Self-Supervised Meta-Learning for Few-Shot Natural Language Classification Tasks

Diverse Distributions of Self-Supervised Tasks for Meta-Learning in NLP

Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning


Quantitative Structure Models of Single Trees from Laser Scanner Data

Realistic Forest Stand Reconstruction from Terrestrial LiDAR for Radiative Transfer Modelling

Non-destructive estimation of individual tree biomass: Allometric models, terrestrial and UAV laser scanning

Apple Tree Branch Information Extraction from Terrestrial Laser Scanning and Backpack-LiDAR

Laser scanning reveals potential underestimation of biomass carbon in temperate forest

Modelling and Comparing Shading Effects of 3D Tree Structures with Virtual Leaves

4DRoot: Root phenotyping software for temporal 3D scans by X-ray computed tomography

A multilayered urban tree dataset of point clouds, quantitative structure and graph models

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

Prunus avium, agroforestry trees, South-Western Germany


Improved Techniques for Training GANs

Generating Long Sequences with Sparse Transformers

Towards Accurate Generative Models of Video: A New Metric & Challenges

VideoGPT: Video Generation using VQ-VAE and Transformers

CogVideo: Large-scale Pretraining for Text-to-Video Generation via Transformers

PV3D: A 3D Generative Model for Portrait Video Generation

Diffusion Reward: Learning Rewards via Conditional Video Diffusion

POS: A Prompts Optimization Suite for Augmenting Text-to-Video Generation


:id: Scan contig files against PubMLST typing schemes

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

PLSDB: a resource of complete bacterial plasmids

Ultra-deep, long-read nanopore sequencing of mock microbial community standards

Persistent metagenomic signatures of early-life hospitalization and antibiotic treatment in the infant gut microbiota and resistome

Characterization of antimicrobial-resistant Gram-negative bacteria that cause neonatal sepsis in seven low- and middle-income countries

Prospective Whole-Genome Sequencing Enhances National Surveillance of Listeria monocytogenes

Phylogenetic background and habitat drive the genetic diversification of Escherichia coli

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

Deciphering the Structural Diversity and Classification of the Mobile Tigecycline Resistance Gene tet(X)-Bearing Plasmidome among Bacteria

A Klebsiella pneumoniae ST307 outbreak clone from Germany demonstrates features of extensive drug resistance, hypermucoviscosity, and enhanced iron acquisition


Unsupervised Speech Decomposition Via Triple Information Bottleneck

Unsupervised Speech Decomposition via Triple Information Bottleneck

STYLER: Style Factor Modeling with Rapidity and Robustness via Speech Decomposition for Expressive and Controllable Neural Text to Speech

VarietySound: Timbre-Controllable Video to Sound Generation via Unsupervised Information Disentanglement


Keras implementation of Graph Convolutional Networks

Semi-Supervised Classification with Graph Convolutional Networks

Representing Long-Range Context for Graph Neural Networks with Global Attention

Malicious Powershell Detection Using Graph Convolution Network

Benchmark Tests of Convolutional Neural Network and Graph Convolutional Network on HorovodRunner Enabled Spark Clusters


Pytorch-Named-Entity-Recognition-with-BERT

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

Beyond I.I.D.: Three Levels of Generalization for Question Answering on Knowledge Bases

SeqMix: Augmenting Active Sequence Labeling via Sequence Mixup

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

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

FC-KBQA: A Fine-to-Coarse Composition Framework for Knowledge Base Question Answering

Breaking Writer's Block: Low-cost Fine-tuning of Natural Language Generation Models

Creative Painting with Latent Diffusion Models

ScienceExamCER: A High-Density Fine-Grained Science-Domain Corpus for Common Entity Recognition

Embeddings of Label Components for Sequence Labeling: A Case Study of Fine-grained Named Entity Recognition


PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

Deep Learning-based Image Super-Resolution Considering Quantitative and Perceptual Quality

A Practical Contrastive Learning Framework for Single-Image Super-Resolution

Zooming SlowMo: An Efficient One-Stage Framework for Space-Time Video Super-Resolution

SuperFront: From Low-resolution to High-resolution Frontal Face Synthesis

Texture Hallucination for Large-Scale Painting Super-Resolution

One-to-One Mapping-Like Properties of DCN-Based Super-Resolution and its Applicability to Real-World Images


Code for Talking Face Generation by Adversarially Disentangled Audio-Visual Representation (AAAI 2019)

DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection

An Introduction to Digital Face Manipulation

Handbook of Digital Face Manipulation and Detection

Stochastic Talking Face Generation Using Latent Distribution Matching


iNaturalist competition details

Class-Balanced Loss Based on Effective Number of Samples

The iNaturalist Species Classification and Detection Dataset

Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks

Algorithmic fairness datasets: the story so far

Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier

A linearized framework and a new benchmark for model selection for fine-tuning

CSP: Self-Supervised Contrastive Spatial Pre-Training for Geospatial-Visual Representations

Class-Balanced Distillation for Long-Tailed Visual Recognition

Neural Basis Models for Interpretability

First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning


Cyclical Learning Rates for Training Neural Networks

Hyper-Parameter Optimization: A Review of Algorithms and Applications

Finding COVID-19 from Chest X-rays using Deep Learning on a Small Dataset

Leveraging Deep Learning Techniques for Malaria Parasite Detection Using Mobile Application

Wireless Communications and Mobile Computing

Embedded hyper-parameter tuning by Simulated Annealing

Finding Covid-19 from Chest X-rays using Deep Learning on a Small Dataset

Securing IoT Devices: A Robust and Efficient Deep Learning with a Mixed Batch Adversarial Generation Process for CAPTCHA Security Verification

Muddling Label Regularization: Deep Learning for Tabular Datasets

CO2: Efficient Distributed Training with Full Communication-Computation
  Overlap


Recurrent Highway Networks - Implementations for Tensorflow, Torch7, Theano and Brainstorm

Recurrent Highway Networks

Structured Pruning of Recurrent Neural Networks through Neuron Selection

Using Regular Languages to Explore the Representational Capacity of Recurrent Neural Architectures

Cross Entropy of Neural Language Models at Infinity—A New Bound of the Entropy Rate


EfficientDet: Scalable and Efficient Object Detection

A ConvNet for the 2020s

YOLOX: Exceeding YOLO Series in 2021

MLP-Mixer: An all-MLP Architecture for Vision

BEiT: BERT Pre-Training of Image Transformers

ResNeSt: Split-Attention Networks

Designing Network Design Spaces

Swin Transformer V2: Scaling Up Capacity and Resolution

DINOv2: Learning Robust Visual Features without Supervision

PVT v2: Improved baselines with Pyramid Vision Transformer


Morfessor is a tool for unsupervised and semi-supervised morphological segmentation

Findings of the 2020 Conference on Machine Translation (WMT20)

Morfessor 2.0: Toolkit for statistical morphological segmentation

Conference of the European Chapter of the Association for Computational Linguistics

Morfessor FlatCat: An HMM-Based Method for Unsupervised and Semi-Supervised Learning of Morphology

A Comparative Study of Minimally Supervised Morphological Segmentation

International Conference on Computational Logic

Automatic Speech Recognition With Very Large Conversational Finnish and Estonian Vocabularies

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

Democratizing neural machine translation with OPUS-MT

Automatic Morpheme Segmentation and Labeling in Universal Dependencies Resources

A Comparative Study on Language Models for the Kannada Language

International Conference on Natural Language and Speech Processing


Docs

Constraints and Benefits of the Blockchain Use for Real Estate and Property Rights

A comprehensive review on blockchains for Internet of Vehicles: Challenges and directions

Global Infectious Disease Surveillance and Case Tracking System for COVID-19: Development Study

HealthyBlock: Blockchain-Based IT Architecture for Electronic Medical Records Resilient to Connectivity Failures

International journal of environmental research and public health

Beyond Bitcoin: Recent Trends and Perspectives in Distributed Ledger Technology

Exploring Blockchain Technology through a Modular Lens: A Survey

A Taxonomic Hierarchy of Blockchain Consensus Algorithms: An Evolutionary Phylogeny Approach

Decentralized Inverse Transparency With Blockchain

Distributed Ledger Technologies: Research and Practice

Publishing and using record-keeping structural information in a blockchain

Frontrunning Block Attack in PoA Clique: A Case Study


Synchronized Batch Normalization implementation in PyTorch.

MegDet: A Large Mini-Batch Object Detector

StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis

Segmenting Ships in Satellite Imagery With Squeeze and Excitation U-Net


A tool for running small microbenchmarks on recent Intel and AMD x86 CPUs.

nanoBench: A Low-Overhead Tool for Running Microbenchmarks on x86 Systems

International Symposium on Performance Analysis of Systems and Software

BHive: A Benchmark Suite and Measurement Framework for Validating x86-64 Basic Block Performance Models

PROCEEDINGS OF THE 2019 IEEE INTERNATIONAL SYMPOSIUM ON WORKLOAD CHARACTERIZATION (IISWC 2019)

Explainable Port Mapping Inference with Sparse Performance Counters for
  AMD's Zen Architectures


The K-mer Analysis Toolkit (KAT) contains a number of tools that analyse and compare K-mer spectra.

KAT: a K-mer analysis toolkit to quality control NGS datasets and genome assemblies

The genome of cowpea (Vigna unguiculata [L.] Walp.)

Construction of a map-based reference genome sequence for barley, Hordeum vulgare L.

Factorial estimating assembly base errors using k-mer abundance difference (KAD) between short reads and genome assembled sequences

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

The genome sequence of the small elephant hawk moth, Deilephila porcellus (Linnaeus, 1758)

The barley leaf rust resistance gene Rph3 encodes a putative executor protein


Discourse Network Analyzer (DNA)

A discourse network analysis of UK newspaper coverage of the “sugar tax” debate before and after the announcement of the Soft Drinks Industry Levy

JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH

Mapping discourse coalitions in the minimum unit pricing for alcohol debate: a discourse network analysis of UK newspaper coverage

Staying away, staying alive: Exploring risk and stigma of COVID-19 in the context of beliefs, actors and hierarchies in India

Incumbents’ Strategies in Media Coverage: A Case of the Czech Coal Policy

Framing brain drain: between solidarity and skills in European labor mobility

Review of International Political Economy

Policy congruence and advocacy strategies in the discourse networks of minimum unit pricing for alcohol and the soft drinks industry levy

Media Coverage and Perceived Policy Influence of Environmental Actors: Good Strategy or Pyrrhic Victory?

Gatekeeping the Plenary Floor: Discourse Network Analysis as a Novel Approach to Party Control

NLP for Climate Policy: Creating a Knowledge Platform for Holistic and Effective Climate Action

Vorstellungen legitimen Regierens: Legitimationspolitik in der Großen Regierungserklärung der 19. Wahlperiode im Vergleich

Zeitschrift für Vergleichende Politikwissenschaft


fitlog是一款在深度学习训练中用于辅助用户记录日志和管理代码的工具

A Unified Generative Framework for Various NER Subtasks

A Unified Generative Framework for Aspect-Based Sentiment Analysis

UTC-IE: A Unified Token-pair Classification Architecture for Information Extraction

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


A benchmark to compare synchronization techniques for multicore programming

Models for energy consumption of data structures and algorithms

A Concurrency-Optimal List-Based Set

D2.2 White-box methodologies, programming abstractions and libraries

Using Nesting to Push the Limits of Transactional Data Structure Libraries

Flat combined Red Black Trees


Time series features

GRATIS: GeneRAting TIme Series with diverse and controllable characteristics

Time Series Extrinsic Regression

Global-scale massive feature extraction from monthly hydroclimatic time series: Statistical characterizations, spatial patterns and hydrological similarity.

Improving the performance of deep learning models using statistical features: The case study of COVID‐19 forecasting

Mathematical methods in the applied sciences

Two-Step Meta-Learning for Time-Series Forecasting Ensemble

A Review of Open Source Software Tools for Time Series Analysis

Meta-Learning for Time Series Forecasting Ensemble.


Lightweight, super fast C/C++ (& Python) library for sequence alignment using edit (Levenshtein) distance.

Fast and accurate de novo genome assembly from long uncorrected reads

Edlib: a C/C++ library for fast, exact sequence alignment using edit distance

Co-linear Chaining with Overlaps and Gap Costs

C/C++ biblioteka za dinamičko programiranje korištenjem SIMD instrukcija

Automated Model Learning for Accurate Detection of Malicious Digital Documents


GPstuff - Gaussian process models for Bayesian analysis

When Gaussian Process Meets Big Data: A Review of Scalable GPs

Pareto Smoothed Importance Sampling

Bayesian Modeling with Gaussian Processes using the GPstuff Toolbox

Understanding and Comparing Scalable Gaussian Process Regression for Big Data


Modelica BuildingSystems library


NOAA-GFDL's Sea Ice Simulator version 2

SPEAR: The Next Generation GFDL Modeling System for Seasonal to Multidecadal Prediction and Projection

Journal of Advances in Modeling Earth Systems


:bar_chart: Benchmark multiple object trackers (MOT) in Python

MOT16: A Benchmark for Multi-Object Tracking

Quasi-Dense Similarity Learning for Multiple Object Tracking

SLEAP: A deep learning system for multi-animal pose tracking

Multi-animal pose estimation, identification and tracking with DeepLabCut

RetinaTrack: Online Single Stage Joint Detection and Tracking

SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking

QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking

Occlusion-Robust Online Multi-Object Visual Tracking using a GM-PHD Filter with CNN-Based Re-Identification

Motion-compensated online object tracking for activity detection and crowd behavior analysis

Real-time 3D Deep Multi-Camera Tracking


Dense Passage Retriever - is a set of tools and models for open domain Q&A task.

Dense Passage Retrieval for Open-Domain Question Answering

Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval

Retrieval-Augmented Generation for Large Language Models: A Survey

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

Generate rather than Retrieve: Large Language Models are Strong Context Generators

MKQA: A Linguistically Diverse Benchmark for Multilingual Open Domain Question Answering

Knowledge Guided Text Retrieval and Reading for Open Domain Question Answering

Relevance-guided Supervision for OpenQA with ColBERT

End-to-End Training of Neural Retrievers for Open-Domain Question Answering

On the Risk of Misinformation Pollution with Large Language Models


Datasets of daily time-series data related to COVID-19 for over 20,000 distinct locations around the world.

Predicting COVID-19 Spread from Large-Scale Mobility Data

Satellite data and machine learning reveal a significant correlation between NO2 and COVID-19 mortality

Google COVID-19 Vaccination Search Insights: Anonymization Process Description

The Variations of SIkJalpha Model for COVID-19 Forecasting and Scenario Projections

Differentiable and Scalable Generative Adversarial Models for Data Imputation

COVID-19 Open-Data a global-scale spatially granular meta-dataset for coronavirus disease

PAN-cODE: COVID-19 forecasting using conditional latent ODEs

Journal of the American Medical Informatics Association : JAMIA

The EpiBench Platform to Propel AI/ML-based Epidemic Forecasting: A Prototype Demonstration Reaching Human Expert-level Performance


Louvain Community Detection

Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching

Tissue-specific extracellular matrix accelerates the formation of neural networks and communities in a neuron-glia co-culture on a multi-electrode array

3D high-density microelectrode array with optical stimulation and drug delivery for investigating neural circuit dynamics

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

The mosaic oat genome gives insights into a uniquely healthy cereal crop

Sentiment correlation in financial news networks and associated market movements

Mining Entity Synonyms with Efficient Neural Set Generation

A bibliometric study of research topics, collaboration and centrality in the Iterated Prisoner's Dilemma

Meta-validation of bipartite network projections

Anomaly Detection in Networks with Application to Financial Transaction Networks


Python library to handle Gene Ontology (GO) terms

GOATOOLS: A Python library for Gene Ontology analyses

Prebiotic Effect of Fructooligosaccharides from Morinda officinalis on Alzheimer’s Disease in Rodent Models by Targeting the Microbiota-Gut-Brain Axis

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

Gene expression atlas for the food security crop cassava

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

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

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

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

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

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


INDRA (Integrated Network and Dynamical Reasoning Assembler) is an automated model assembly system interfacing with NLP systems and databases to collect knowledge, and through a process of assembly, produce causal graphs and dynamical models.

From word models to executable models of signaling networks using automated assembly

Automated assembly of molecular mechanisms at scale from text mining and curated databases

Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models

North American Chapter of the Association for Computational Linguistics

INDRA-IPM: interactive pathway modeling using natural language with automated assembly

Exploration and Discovery of the COVID-19 Literature through Semantic Visualization


Medical Concept Annotation Tool

Multi-domain Clinical Natural Language Processing with MedCAT: the Medical Concept Annotation Toolkit

MedCATTrainer: A Biomedical Free Text Annotation Interface with Active Learning and Research Use Case Specific Customisation

Experimental Evaluation and Development of a Silver-Standard for the MIMIC-III Clinical Coding Dataset

MedCAT -- Medical Concept Annotation Tool

Foresight -- Generative Pretrained Transformer (GPT) for Modelling of Patient Timelines using EHRs

Review of Natural Language Processing in Pharmacology

Towards Generalizable Methods for Automating Risk Score Calculation

Workshop on Biomedical Natural Language Processing

MedMine: Examining Pre-trained Language Models on Medication Mining

Validating transformers for redaction of text from electronic health records in real-world healthcare

Annotation-preserving machine translation of English corpora to validate Dutch clinical concept extraction tools


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

egg: Fast and extensible equality saturation

Searching entangled program spaces

Version Space Algebras are Acyclic Tree Automata

Automated Code Optimization with E-Graphs


Import GTFS transit data into SQLite and query routes, stops, times, fares and more.


[ACL 2024] An Easy-to-use Knowledge Editing Framework for LLMs.

Editing Large Language Models: Problems, Methods, and Opportunities

A Comprehensive Study of Knowledge Editing for Large Language Models

EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models

Editing Personality for LLMs

Detoxifying Large Language Models via Knowledge Editing

What does the Knowledge Neuron Thesis Have to do with Knowledge?

Can We Edit Multimodal Large Language Models?

Cross-Lingual Knowledge Editing in Large Language Models

The Butterfly Effect of Model Editing: Few Edits Can Trigger Large
  Language Models Collapse

See the Unseen: Better Context-Consistent Knowledge-Editing by Noises


Robotiq packages (http://wiki.ros.org/robotiq)

RUR53: an unmanned ground vehicle for navigation, recognition, and manipulation

Egocentric Gesture Recognition Using 3D Convolutional Neural Networks for the Spatiotemporal Adaptation of Collaborative Robots


Mobility as a Service API - data model, tests, and validation


Code for AMIA CRI 2016 paper "Learning Low-Dimensional Representations of Medical Concepts"

Clinical Concept Embeddings Learned from Massive Sources of Multimodal Medical Data

Intelligent Health Care: Applications of Deep Learning in Computational Medicine

CODER: Knowledge infused cross-lingual medical term embedding for term normalization

Clinical Concept Embeddings Learned from Massive Sources of Medical Data.

BioConceptVec: Creating and evaluating literature-based biomedical concept embeddings on a large scale

Representation Learning for Electronic Health Records

Effective Representations of Clinical Notes

AWE-CM Vectors: Augmenting Word Embeddings with a Clinical Metathesaurus

Family member information extraction via neural sequence labeling models with different tag schemes

BMC medical informatics and decision making

Evaluation of Embeddings of Laboratory Test Codes for Patients at a Cancer Center


Fast LOAM: Fast and Optimized Lidar Odometry And Mapping   for indoor/outdoor localization IROS 2021

F-LOAM : Fast LiDAR Odometry and Mapping

LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time

International Conference on Robotics and Automation

SA-LOAM: Semantic-aided LiDAR SLAM with Loop Closure

Greedy-Based Feature Selection for Efficient LiDAR SLAM

Real-time Multi-Adaptive-Resolution-Surfel 6D LiDAR Odometry using Continuous-time Trajectory Optimization

An Integrated INS/LiDAR SLAM Navigation System for GNSS-Challenging Environments

Autonomous Vehicles: Open-Source Technologies, Considerations, and Development

INS/LIDAR/Stereo SLAM Integration for Precision Navigation in GNSS-Denied Environments

Point wise or Feature wise? Benchmark Comparison of Public Available LiDAR Odometry Algorithms in Urban Canyons

Deep Learning-Aided Inertial/Visual/LiDAR Integration for GNSS-Challenging Environments


Code for the paper Fine-Tuning Language Models from Human Preferences

Plug and Play Language Models: A Simple Approach to Controlled Text Generation

AlpacaFarm: A Simulation Framework for Methods that Learn from Human Feedback

Aligning Large Multimodal Models with Factually Augmented RLHF

SALMON: Self-Alignment with Instructable Reward Models

Easy-to-Hard Generalization: Scalable Alignment Beyond Human Supervision


A FULLY AUTOMATIC FOREST PARAMETERS EXTRACTION AT SINGLE-TREE LEVEL: A COMPARISON OF MLS AND TLS APPLICATIONS

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


A Bulletproof Way to Generate Structured JSON from Language Models

14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon

Spellburst: A Node-based Interface for Exploratory Creative Coding with Natural Language Prompts

Proceedings of the 36th Annual ACM Symposium on User Interface Software and Technology

LMDX: Language Model-based Document Information Extraction and Localization

SynCode: LLM Generation with Grammar Augmentation

From Text to Insight: Large Language Models for Materials Science Data Extraction


High quality, fast, modular reference implementation of SSD in PyTorch

SSD: Single Shot MultiBox Detector

YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images

FCA: Learning a 3D Full-coverage Vehicle Camouflage for Multi-view Physical Adversarial Attack

Attention-based domain adaptation for single-stage detectors

CAT: Compression-Aware Training for bandwidth reduction

Active Learning for Deep Neural Networks on Edge Devices


[MLSys 2024 Best Paper Award] AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

VILA: On Pre-training for Visual Language Models

QuantEase: Optimization-based Quantization for Language Models

Enhancing Computation Efficiency in Large Language Models through Weight and Activation Quantization

Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient
  LLMs Under Compression

IntactKV: Improving Large Language Model Quantization by Keeping Pivot
  Tokens Intact


QPanda 2 is an open source quantum computing framework developed by  OriginQC that can be used to build, run, and optimize quantum algorithms.

Shortcuts to the quantum approximate optimization algorithm

Towards Quantum Graph Neural Networks: An Ego-Graph Learning Approach

ChemiQ: A Chemistry Simulator for Quantum Computer

QPanda: high-performance quantum computing framework for multiple application scenarios


Efficient computing methods developed by Huawei Noah's Ark Lab

Data-Free Learning of Student Networks

Data-Free Knowledge Distillation for Deep Neural Networks

ReNAS: Relativistic Evaluation of Neural Architecture Search

Gold-YOLO: Efficient Object Detector via Gather-and-Distribute Mechanism

Data-Free Knowledge Distillation For Image Super-Resolution

Positive-Unlabeled Compression on the Cloud

AdaBin: Improving Binary Neural Networks with Adaptive Binary Sets

Learning Student Networks in the Wild

Masked Image Modeling with Local Multi-Scale Reconstruction

Multiscale Positive-Unlabeled Detection of AI-Generated Texts


A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution


A ultra-high precision package for simulating radio interferometers in python on compute clusters.

Improved Constraints on the 21 cm EoR Power Spectrum and the X-Ray Heating of the IGM with HERA Phase I Observations

A Unified Calibration Framework for 21 cm Cosmology

Monthly notices of the Royal Astronomical Society

New EoR power spectrum limits from MWA Phase II using the delay spectrum method and novel systematic rejection

Validation Solutions to the Full-sky Radio Interferometry Measurement Equation for Diffuse Emission

The Astrophysical Journal Supplement Series

Precision Calibration of Radio Interferometers for 21 cm Cosmology with No Redundancy and Little Knowledge of Antenna Beams and the Radio Sky

All-sky modelling requirements for Bayesian 21 cm power spectrum estimation with bayeseor

The fhd polarised imaging pipeline: A new approach to widefield interferometric polarimetry

Publications of the Astronomical Society of Australia

matvis: A matrix-based visibility simulator for fast forward modelling of many-element 21 cm arrays


Interpretable ML package  for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Stop Explaining Black Box Machine Learning Models for High Stakes Decisions and Use Interpretable Models Instead

Definitions, methods, and applications in interpretable machine learning

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

Supersparse linear integer models for optimized medical scoring systems

Scalable Bayesian Rule Lists

Learning Optimized Risk Scores

imodels: a python package for fitting interpretable models

Hierarchical Shrinkage: improving the accuracy and interpretability of tree-based methods

MDI+: A Flexible Random Forest-Based Feature Importance Framework

Probabilistic Dataset Reconstruction from Interpretable Models

Fast Interpretable Greedy-Tree Sums


Conditional GAN for generating synthetic tabular data.

Modeling Tabular data using Conditional GAN

TabDDPM: Modelling Tabular Data with Diffusion Models

Tabular GANs for uneven distribution

Mixed-Type Tabular Data Synthesis with Score-based Diffusion in Latent Space

Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML Evaluation

Towards Automated Imbalanced Learning with Deep Hierarchical Reinforcement Learning

Synthesising Multi-Modal Minority Samples for Tabular Data

Standardised Metrics and Methods for Synthetic Tabular Data Evaluation

Generative Trees: Adversarial and Copycat

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


An awesome code differencing tool

Fine-grained and accurate source code differencing

International Conference on Automated Software Engineering

FixMiner: Mining relevant fix patterns for automated program repair

A Closer Look at Real-World Patches

PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION (ICSME)

PyART: Python API Recommendation in Real-Time

IntelliMerge: a refactoring-aware software merging technique

Proceedings of the ACM on Programming Languages

Towards Software Analytics: Modeling Maintenance Activities

A Differential Testing Approach for Evaluating Abstract Syntax Tree Mapping Algorithms

SATDBailiff- Mining and Tracking Self-Admitted Technical Debt

ApacheJIT: A Large Dataset for Just-In-Time Defect Prediction

Spork: Structured Merge for Java With Formatting Preservation

IEEE Transactions on Software Engineering


UCSC Genome Browser source tree. Stable branch: "beta".

Stability of SARS-CoV-2 phylogenies

Nuclear genetic control of mtDNA copy number and heteroplasmy in humans

medRxiv : the preprint server for health sciences

chainCleaner improves genome alignment specificity and sensitivity

Identifying SARS-CoV-2 regional introductions and transmission clusters in real time

The Caenorhabditis elegans TDRD5/7-like protein, LOTR-1, interacts with the helicase ZNFX-1 to balance epigenetic signals in the germline

Novel insights into the role of long non-coding RNA in the human malaria parasite, Plasmodium falciparum

Targeting Oncogenic Wnt/β-Catenin Signaling in Adrenocortical Carcinoma Disrupts ECM Expression and Impairs Tumor Growth

Benchmarking of computational methods for m6A profiling with Nanopore direct RNA sequencing

Manual annotation of Drosophila genes: a Genomics Education Partnership protocol

TAD border deletion at theKitlocus causes tissue-specific ectopic activation of a neighboring gene


N-body and hydro analysis tools for Python 3. (Older versions support Python 2.)

Dark matter cores all the way down

The stellar mass-halo mass relation of isolated field dwarfs: a critical test of ΛCDM at the edge of galaxy formation

A Superbubble Feedback Model for Galaxy Simulations

Understanding the shape and diversity of dwarf galaxy rotation curves in ΛCDM

Adaptive Techniques for Clustered N-Body Cosmological Simulations

The case for a cold dark matter cusp in Draco

The formation of ultradiffuse galaxies in the RomulusC galaxy cluster simulation

The formation of stellar nuclear discs in bar-induced gas inflows

The formation of isolated ultradiffuse galaxies in romulus25

Simulating disc galaxy bulges that are consistent with observed scaling relations

Monthly Notices of the Royal Astronomical Society: Letters


files for r4ss package


Kepler (Kubernetes-based Efficient Power Level Exporter) uses eBPF to probe performance counters and other system stats, use ML models to estimate workload energy consumption based on these stats, and exports them as Prometheus metrics

Potentials of Green Coding -- Findings and Recommendations for Industry,
  Education and Science -- Extended Paper


Formerly known as code.google.com/p/1-billion-word-language-modeling-benchmark

Transfer learning from language models to image caption generators: Better models may not transfer better

On Architectures for Including Visual Information in Neural Language Models for Image Description

Energy-Based Models with Applications to Speech and Language Processing

Foundations and Trends® in Signal Processing

How to choose "Good" Samples for Text Data Augmentation


Circle C++ shaders

Supporting Unified Shader Specialization by Co-opting C++ Features

Proceedings of the ACM on Computer Graphics and Interactive Techniques

Unified Shader Programming in C

Development in Vulkan: a domain-specific approach

Труды Института системного программирования РАН


Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

Semantic Image Synthesis with Spatially-Adaptive Normalization

Few-Shot Unsupervised Image-to-Image Translation

The Creation and Detection of Deepfakes: A Survey

Adversarial Perturbations Fool Deepfake Detectors

FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes

Digital Face Manipulation in Biometric Systems

Handbook of Digital Face Manipulation and Detection

Psychophysical Evaluation of Human Performance in Detecting Digital Face Image Manipulations

DF-Captcha: A Deepfake Captcha for Preventing Fake Calls


Code for the paper Progressive Pose Attention for Person Image Generation in CVPR19 (Oral).

Progressive Pose Attention Transfer for Person Image Generation

XingGAN for Person Image Generation

Progressive and Aligned Pose Attention Transfer for Person Image Generation


Medical Q&A with Deep Language Models

Attention Is All You Need

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

BioBERT: a pre-trained biomedical language representation model for biomedical text mining

Multilingual Medical Question Answering and Information Retrieval for Rural Health Intelligence Access


Simple, fast unsupervised word aligner

A Simple, Fast, and Effective Reparameterization of IBM Model 2

North American Chapter of the Association for Computational Linguistics

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

Universal Neural Machine Translation for Extremely Low Resource Languages

Understanding Knowledge Distillation in Non-autoregressive Machine Translation

End-to-End Slot Alignment and Recognition for Cross-Lingual NLU

In-context Examples Selection for Machine Translation

Deep Encoder, Shallow Decoder: Reevaluating Non-autoregressive Machine Translation

Boosting Neural Machine Translation with Similar Translations

Code-Switched Language Models Using Neural Based Synthetic Data from Parallel Sentences

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

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


S2ORC: The Semantic Scholar Open Research Corpus:  https://www.aclweb.org/anthology/2020.acl-main.447/

A Molecular Multimodal Foundation Model Associating Molecule Graphs with Natural Language

The Semantic Scholar Open Data Platform

Nougat: Neural Optical Understanding for Academic Documents

Explaining Relationships Between Scientific Documents

SciFact-Open: Towards open-domain scientific claim verification

CiteWorth: Cite-Worthiness Detection for Improved Scientific Document Understanding

Leveraging Biomolecule and Natural Language through Multi-Modal
  Learning: A Survey

Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Do Discourse Indicators Reflect the Main Arguments in Scientific Papers?


Guideline for AI based Medical Devices

Demystifying Supervised Learning in Healthcare 4.0: A New Reality of Transforming Diagnostic Medicine

Real-World and Regulatory Perspectives of Artificial Intelligence in Cardiovascular Imaging

OnRAMP for Regulating Artificial Intelligence in Medical Products

Artificial Intelligence in Healthcare: Lost In Translation?


The who, what, and where of Voytek Lab code.

Parameterizing neural power spectra into periodic and aperiodic components

Cycle-by-cycle analysis of neural oscillations

Methodological considerations for studying neural oscillations

Electrophysiological Frequency Band Ratio Measures Conflate Periodic and Aperiodic Neural Activity


Automatic Differentiation Library for Computational and Mathematical Engineering

Learning constitutive relations from indirect observations using deep neural networks

Integrating Deep Neural Networks with Full-waveform Inversion: Reparametrization, Regularization, and Uncertainty Quantification

A general approach to seismic inversion with automatic differentiation

ADCME: Learning Spatially-varying Physical Fields using Deep Neural Networks

Inverse Modeling of Viscoelasticity Materials using Physics Constrained Learning

Solving Inverse Problems in Steady-State Navier-Stokes Equations using Deep Neural Networks

Distributed Machine Learning for Computational Engineering using MPI

Time-lapse Full Waveform Inversion for Subsurface Flow Problems with Intelligent Automatic Differentiation

Adversarial Numerical Analysis for Inverse Problems

Learning Hidden Dynamics using Intelligent Automatic Differentiation


United States General Election Presidential Results by County from 2008 to 2016

Online misinformation is linked to early COVID-19 vaccination hesitancy and refusal

Association of Social and Economic Inequality With Coronavirus Disease 2019 Incidence and Mortality Across US Counties

The evolution of the association between community level social capital and COVID-19 deaths and hospitalizations in the United States

City Limits: What Do Local-Area Minimum Wages Do?

Measuring the Importance of User-Generated Content to Search Engines

The impact of online misinformation on U.S. COVID-19 vaccinations

Social Disadvantage, Politics, and SARS-CoV-2 Trends: A County-Level Analysis of United States Data

Tweeted Anger Predicts County-Level Results of the 2016 United States Presidential Election

International review of social psychology

Life expectancy and voting patterns in the 2020 U.S. presidential election

Fear and deprivation in Trump's America: A regional analysis of voting behavior in the 2016 and 2020 U.S. Presidential Elections


LUKE -- Language Understanding with Knowledge-based Embeddings

Attention Is All You Need

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

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

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

Global Entity Disambiguation with BERT

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

Generative Prompt Tuning for Relation Classification

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

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

Beyond modeling: NLP Pipeline for efficient environmental policy analysis


Easy to use extractive text summarization with BERT

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Leveraging BERT for Extractive Text Summarization on Lectures

DepressionNet: A Novel Summarization Boosted Deep Framework for Depression Detection on Social Media

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

Connecting the Dots Between Fact Verification and Fake News Detection

ConceptEVA: Concept-Based Interactive Exploration and Customization of Document Summaries

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

Nutri-bullets: Summarizing Health Studies by Composing Segments

Quantifying the Suicidal Tendency on Social Media: A Survey

Shaping Political Discourse using multi-source News Summarization


A Python module for preprocessing and evaluating aerodynamic airfoil data---primarily for wind turbine applications.


Multivariate imputation and matrix completion algorithms implemented in Python

BRITS: Bidirectional Recurrent Imputation for Time Series

Matrix Completion and Low-Rank SVD via Fast Alternating Least Squares

Handling Missing Data with Graph Representation Learning

Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks

Machine learning based imputation techniques for estimating phylogenetic trees from incomplete distance matrices

Uncertainty-Gated Stochastic Sequential Model for EHR Mortality Prediction

RDIS: Random Drop Imputation With Self-Training for Incomplete Time Series Data

Missing Features Reconstruction Using a Wasserstein Generative Adversarial Imputation Network

Improving Load Forecasting of Electric Vehicle Charging Stations Through Missing Data Imputation

Medical data wrangling with sequential variational autoencoders


Python library for bio-inspired computational intelligence

Pymoo: Multi-Objective Optimization in Python

jMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics

Hippocampal sharp wave-ripples and the associated sequence replay emerge from structured synaptic interactions in a network model of area CA3

Developing Realistic FDTD GPR Antenna Surrogates by Means of Particle Swarm Optimization

IEEE Transactions on Antennas and Propagation

Opytimizer: A Nature-Inspired Python Optimizer

PyBioNetFit and the Biological Property Specification Language

Augmenting the space domain awareness ground architecture via decision analysis and multi-objective optimization

Journal of Defense Analytics and Logistics

Synaptic and circuit mechanisms prevent detrimentally precise correlation in the developing mammalian visual system

The NeuroML ecosystem for standardized multi-scale modeling in neuroscience


TLX - A Collection of Sophisticated C++ Data Structures, Algorithms, and Miscellaneous Helpers

A Critical Analysis of Recursive Model Indexes

Order-Preserving Key Compression for In-Memory Search Trees

There is No Such Thing as an "Index"! or: The next 500 Indexing Papers

Cuckoo Trie: Exploiting Memory-Level Parallelism for Efficient DRAM Indexing

Symposium on Operating Systems Principles

Dynamic interleaving of content and structure for robust indexing of semi-structured hierarchical data

Fine-Tuning Data Structures for Analytical Query Processing


Python module for Simulated Annealing optimization

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

Characterizing and Evaluating Adversarial Examples for Offline Handwritten Signature Verification

IEEE Transactions on Information Forensics and Security

Mixed-Variable Bayesian Optimization

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

Placement in Integrated Circuits using Cyclic Reinforcement Learning and Simulated Annealing

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

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

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

CryoRL: Reinforcement Learning Enables Efficient Cryo-EM Data Collection

The DNA of Calabi-Yau Hypersurfaces

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


Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

Relational inductive biases, deep learning, and graph networks

Order Matters: Sequence to sequence for sets

Recent advances and applications of deep learning methods in materials science

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

Learning properties of ordered and disordered materials from multi-fidelity data

Predicting Kovats Retention Indices Using Graph Neural Networks

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

Structure prediction of two-dimensional materials based on neural network-driven evolutionary technique

Universal neural network potentials as descriptors: Towards scalable
  chemical property prediction using quantum and classical computers


EDGE is a highly adaptable bioinformatics platform that allows laboratories to quickly analyze and interpret genomic sequence data.

Enabling the democratization of the genomics revolution with a fully integrated web-based bioinformatics platform

EDGE COVID-19: a web platform to generate submission-ready genomes from SARS-CoV-2 sequencing efforts

EDGE COVID-19: A Web Platform to generate submission-ready genomes for SARS-CoV-2 sequencing efforts


Aliro: AI-Driven Data Science

A System for Accessible Artificial Intelligence

Evaluating recommender systems for AI-driven biomedical informatics

Aliro: an automated machine learning tool leveraging large language models


Java tools for Address-Event Representation (AER) neuromorphic vision and audio sensor processing

Event-based Vision: A Survey

IEEE transactions on pattern analysis and machine intelligence

Neuromorphic Vision Datasets for Pedestrian Detection, Action Recognition, and Fall Detection

Star Tracking using an Event Camera

Low Latency Event-Based Filtering and Feature Extraction for Dynamic Vision Sensors in Real-Time FPGA Applications

EDFLOW: Event Driven Optical Flow Camera With Keypoint Detection and Adaptive Block Matching

IEEE Transactions on Circuits and Systems for Video Technology

Event-Based Gesture Recognition through a Hierarchy of Time-Surfaces for FPGA

A Linear Comb Filter for Event Flicker Removal

Sensor fusion using EMG and vision for hand gesture classification in mobile applications

Falcon Neuro: an event-based sensor on the International Space Station

Optical Engineering: The Journal of SPIE

Towards neuromorphic FPGA-based infrastructures for a robotic arm


Contributed code for MAF (sims_maf)

Science-Driven Optimization of the LSST Observing Strategy

TESTING LSST DITHER STRATEGIES FOR SURVEY UNIFORMITY AND LARGE-SCALE STRUCTURE SYSTEMATICS

Optimizing LSST observing strategy for weak lensing systematics

Monthly Notices of the Royal Astronomical Society

Metrics for Optimization of Large Synoptic Survey Telescope Observations of Stellar Variables and Transients

Publications of the Astronomical Society of the Pacific


FCC software, common to FCC-hh, -ee, and -eh.

Calorimeters for the FCC-hh

Probing exotic charged Higgs decays in the Type-II 2HDM through top rich signal at a future 100 TeV pp collider

Future Prospects for the Minimal Supersymmetric Standard Model

Higgs assisted razor search for Higgsinos at a 100 TeV pp collider

中国科学. 物理学 力学 天文学

Offline Computing resources for FCC-ee and related challenges


HighFive - Header-only C++ HDF5 interface

On the Effectiveness of Weight-Encoded Neural Implicit 3D Shapes

Non-linear regression models for time to flowering in wild chickpea combine genetic and climatic factors

Phoebe: a high-performance framework for solving phonon and electron Boltzmann transport equations

Phoebe: a collection of Phonon and Electron Boltzmann Equation solvers


GEOS-Chem "Science Codebase" repository.  Contains GEOS-Chem science routines, run directory generation scripts, and interface code.  This repository is used as a submodule within the GCClassic and GCHP wrappers, as well as in other modeling contexts (external ESMs).

Improving the prediction of an atmospheric chemistry transport model using gradient-boosted regression trees

Influences of oceanic ozone deposition on tropospheric photochemistry

Enabling high-performance cloud computing for Earth science modeling on over a thousand cores: application to the GEOS-Chem atmospheric chemistry model

Journal of Advances in Modeling Earth Systems

Low-NO atmospheric oxidation pathways in a polluted megacity

Grid-independent high-resolution dust emissions (v1.0) for chemical transport models: application to GEOS-Chem (12.5.0)

Implementation of Yale Interactive terrestrial Biosphere model v1.0 into GEOS-Chem v12.0.0: a tool for biosphere–chemistry interactions

Comparison of model and ground observations finds snowpack and blowing snow both contribute to Arctic tropospheric reactive bromine

Vertical profiles of light absorption and scattering associated with black carbon particle fractions in the springtime Arctic above 79° N

Implementation and evaluation of the GEOS-Chem chemistry module version 13.1.2 within the Community Earth System Model v2.1

Interannual variability of summertime formaldehyde (HCHO) vertical column density and its main drivers at northern high latitudes


Library for Bayesian Quadrature

Emulation of physical processes with Emukit

Fast Bayesian Inference with Batch Bayesian Quadrature via Kernel Recombination

Batch Selection for Parallelisation of Bayesian Quadrature

Bayesian Quadrature on Riemannian Data Manifolds


Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

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

Enhanced Deep Residual Networks for Single Image Super-Resolution

Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks

Wide Activation for Efficient and Accurate Image Super-Resolution

Deep radio-interferometric imaging with POLISH: DSA-2000 and weak lensing

Super-Resolution of Thermal Images Using an Automatic Total Variation Based Method

A new public Alsat-2B dataset for single-image super-resolution

Evaluating Deep Neural Networks for Image Document Enhancement

On the inverse Potts functional for single-image super-resolution problems

AutoSR4EO: An AutoML Approach to Super-Resolution for Earth Observation Images