SnapPy is a package for studying the topology and geometry of 3-manifolds, with a focus on hyperbolic structures. It is based on the SnapPea kernel written by Jeff Weeks.

Trace embeddings from zero surgery homeomorphisms

Infinitesimal gluing equations and the adjoint hyperbolic Reidemeister torsion

Verified computations for closed hyperbolic 3-manifolds

Bulletin of the London Mathematical Society

Computing a Link Diagram From Its Exterior


Python library for analysis of neuroanatomical data.

FlyWire: Online community for whole-brain connectomics

The natverse, a versatile toolbox for combining and analysing neuroanatomical data

Information flow, cell types and stereotypy in a full olfactory connectome

Neuronal wiring diagram of an adult brain

bioRxiv : the preprint server for biology

Context-dependent representations of movement in Drosophila dopaminergic reinforcement pathways

Multisensory learning binds neurons into a cross-modal memory engram

Multisensory learning binds modality-specific neurons into a cross-modal memory engram

Interactions between specialized gain control mechanisms in olfactory processing


Fast C code for sampling Polya-gamma random variates. Builds on Jesse Windle's BayesLogit library.

Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes

Recurrent switching linear dynamical systems

Bayesian latent structure discovery from multi-neuron recordings

Mixed Hamiltonian Monte Carlo for Mixed Discrete and Continuous Variables

Efficient Bayesian Inference for a Gaussian Process Density Model

A mathematical model of local and global attention in natural scene viewing

Variational Bayesian Inference for Nonlinear Hawkes Process with Gaussian Process Self-Effects

Nonlinear Hawkes Process with Gaussian Process Self Effects


End-to-end neural table-text understanding models.

Well-Read Students Learn Better: On the Importance of Pre-training Compact Models

TAPAS: Weakly Supervised Table Parsing via Pre-training

Understanding tables with intermediate pre-training

TableFormer: Robust Transformer Modeling for Table-Text Encoding

MATE: Multi-view Attention for Table Transformer Efficiency

Open Domain Question Answering over Tables via Dense Retrieval

Capturing Row and Column Semantics in Transformer Based Question Answering over Tables

Table-based Fact Verification with Salience-aware Learning

AIT-QA: Question Answering Dataset over Complex Tables in the Airline Industry

DoT: An efficient Double Transformer for NLP tasks with tables


ADDA - light scattering simulator based on the discrete dipole approximation

Scaling Laws for Light Absorption Enhancement Due to Nonrefractory Coating of Atmospheric Black Carbon Aerosol

Near-field radiative heat transfer between irregularly shaped dielectric particles modeled with the discrete system Green's function method

Optical backscattering and linear polarization properties of the colony forming cyanobacterium Microcystis

Vector Bessel beams: General classification and scattering simulations

Optimization Methods for In-Line Holography

Capabilities of ADDA code for nanophotonics


A research project for natural language generation, containing the official implementations by MSRA NLC team.

ProphetNet: Predicting Future N-gram for Sequence-to-Sequence Pre-training

CRITIC: Large Language Models Can Self-Correct with Tool-Interactive
  Critiquing

ProphetNet-X: Large-Scale Pre-training Models for English, Chinese, Multi-lingual, Dialog, and Code Generation

Text Generation with Diffusion Language Models: A Pre-training Approach
  with Continuous Paragraph Denoise

AR-Diffusion: Auto-Regressive Diffusion Model for Text Generation

TESS: Text-to-Text Self-Conditioned Simplex Diffusion

Enhanced Seq2Seq Autoencoder via Contrastive Learning for Abstractive Text Summarization

ProphetNet-Ads: A Looking Ahead Strategy for Generative Retrieval Models in Sponsored Search Engine

Socratic Question Generation: A Novel Dataset, Models, and Evaluation

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics

Joint Generator-Ranker Learning for Natural Language Generation


Fast genome and metagenome distance estimation using MinHash

Mash: fast genome and metagenome distance estimation using MinHash

Progressive Cactus is a multiple-genome aligner for the thousand-genome era

Natural Occurrence of Escherichia coli-Infecting Bacteriophages in Clinical Samples

Potential Rhodopsin and Bacteriochlorophyll-Based Dual Phototrophy in a High Arctic Glacier

Genome-resolved metagenomics using environmental and clinical samples

Core Defense Hotspots withinPseudomonas aeruginosaare a consistent and rich source of anti-phage defense systems

A genomic catalogue of soil microbiomes boosts mining of biodiversity and genetic resources

A Chromosome-Level Genome Assembly of the Reed Warbler (Acrocephalus scirpaceus)

Genome sequence of Bacillus velezensis LZN01 inhibiting Fusarium oxysporum f. sp. niveum and producing myriocin

Biotechnology & Biotechnological Equipment

Mycobacteriophage CRB2 defines a new subcluster in mycobacteriophage classification


Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.

RTAB‐Map as an open‐source lidar and visual simultaneous localization and mapping library for large‐scale and long‐term online operation

Self-supervised Learning of LiDAR Odometry for Robotic Applications

Large-Scale LiDAR SLAM with Factor Graph Optimization on High-Level Geometric Features

Study of the Effect of Exploiting 3D Semantic Segmentation in LiDAR Odometry

Mapping of Sparse 3D Data using Alternating Projection

Can generalised relative pose estimation solve sparse 3D registration?

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


Basin and Landscape Dynamics model

pyBadlands: A framework to simulate sediment transport, landscape dynamics and basin stratigraphic evolution through space and time

Multicore Parallel Tempering Bayeslands for Basin and Landscape Evolution


A software toolkit for gravity field recovery and GNSS processing

RECOG RL01: correcting GRACE total water storage estimates for global lakes/reservoirs and earthquakes

Comparison and generalization of GNSS satellite attitude models


ALLHiC: phasing and scaffolding polyploid genomes based on Hi-C data

Allele-defined genome of the autopolyploid sugarcane Saccharum spontaneum L.

Genome Assembly of Alfalfa Cultivar Zhongmu-4 and Identification of SNPs Associated with Agronomic Traits

基因组蛋白质组与生物信息学报

Genome assembly of the JD17 soybean provides a new reference genome for comparative genomics

A near-complete genome assembly of the allotetrapolyploid Cenchrus fungigraminus (JUJUNCAO) provides insights into its evolution and C4 photosynthesis

Chromosome-level Genome Assembly of the High-altitude Leopard (Panthera pardus) Sheds Light on Its Environmental Adaptation

A gap-free reference genome reveals structural variations associated with flowering time in rapeseed (Brassica napus)

A high-resolution genome of an euryhaline and eurythermal rhinogoby (Rhinogobius similis Gill 1895)


ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization :helicopter: annotates 1652 buildings in 72 universities around the world.

Random Erasing Data Augmentation

Fine-tuning CNN Image Retrieval with No Human Annotation

Dual-path Convolutional Image-Text Embeddings with Instance Loss

ACM transactions on multimedia computing, communications and applications/ACM transactions on multimedia computing communications and applications

Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective

Multiple-environment Self-adaptive Network for Aerial-view
  Geo-localization

Visual and Object Geo-localization: A Comprehensive Survey


Zennit is a high-level framework in Python using PyTorch for explaining/exploring neural networks using attribution methods like LRP.

Explainable AI Methods - A Brief Overview

Software for Dataset-wide XAI: From Local Explanations to Global
  Insights with Zennit, CoRelAy, and ViRelAy

Toward Explainable AI for Regression Models

Optimizing Explanations by Network Canonization and Hyperparameter Search

Explainable audio Classification of Playing Techniques with Layer-wise Relevance Propagation

IEEE International Conference on Acoustics, Speech, and Signal Processing


APT & CyberCriminal Campaign Collection

EXTRACTOR: Extracting Attack Behavior from Threat Reports

MALOnt: An Ontology for Malware Threat Intelligence

Automated Dataset Generation System for Collaborative Research of Cyber Threat Analysis


Diagnostics for HierArchical Regession Models

Behavioural Diversity Study in Bottlenose Dolphin (Tursiops truncatus) Groups and Its Implications for Welfare Assessments

Animals : an open access journal from MDPI

Should Dairy Cattle Be Trained to a Virtual Fence System as Individuals or in Groups?

Pathogen evasion of social immunity

Area, isolation and climate explain the diversity of mammals on islands worldwide

Detecting Ultra- and Circadian Activity Rhythms of Dairy Cows in Automatic Milking Systems Using the Degree of Functional Coupling—A Pilot Study

Influence of Soldiers on Exploratory Foraging Behavior in the Formosan Subterranean Termite, Coptotermes formosanus (Blattodea: Rhinotermitidae)

Examining the potential influence of crosslinguistic lexical similarity on word-choice transfer in L2 English


Epistemic Neural Networks

The Neural Testbed: Evaluating Joint Predictions

Ensembles for Uncertainty Estimation: Benefits of Prior Functions and
  Bootstrapping

Evaluating Predictive Distributions: Does Bayesian Deep Learning Work?

Evaluating High-Order Predictive Distributions in Deep Learning

Fine-Tuning Language Models via Epistemic Neural Networks

Approximate Thompson Sampling via Epistemic Neural Networks

Promises and Pitfalls of the Linearized Laplace in Bayesian Optimization


Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

Mip-Splatting: Alias-free 3D Gaussian Splatting

Compact 3D Scene Representation via Self-Organizing Gaussian Grids


A collection of various deep learning architectures, models, and tips

A Survey of Deep Learning for Scientific Discovery

A simple squared-error reformulation for ordinal classification

Deep neural networks for rank-consistent ordinal regression based on conditional probabilities

On Transportation of Mini-batches: A Hierarchical Approach

Is the Performance of My Deep Network Too Good to Be True? A Direct
  Approach to Estimating the Bayes Error in Binary Classification

Analysis of Deep Image Quality Models


An Extendible (General) Continual Learning Framework based on Pytorch - official codebase of Dark Experience for General Continual Learning

Dark Experience for General Continual Learning: a Strong, Simple Baseline

New Insights on Reducing Abrupt Representation Change in Online
  Continual Learning

Representational Continuity for Unsupervised Continual Learning

Class-Incremental Continual Learning into the eXtended DER-verse

IEEE transactions on pattern analysis and machine intelligence

Continual Learning Based on OOD Detection and Task Masking

Continual Learning and Private Unlearning

Online Prototype Learning for Online Continual Learning

Effects of Auxiliary Knowledge on Continual Learning

Large-scale Pre-trained Models are Surprisingly Strong in Incremental
  Novel Class Discovery

Prediction Error-based Classification for Class-Incremental Learning


[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang

Parallel Diffusion Models of Operator and Image for Blind Inverse Problems

GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse
  Problems with Denoising Diffusion Restoration

Blind Image Deblurring with Unknown Kernel Size and Substantial Noise


Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.

U-Net: Convolutional Networks for Biomedical Image Segmentation

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Hover-Net: Simultaneous segmentation and classification of nuclei in multi-tissue histology images

PanNuke Dataset Extension, Insights and Baselines

Benchmarking Self-Supervised Learning on Diverse Pathology Datasets

A Large-scale Synthetic Pathological Dataset for Deep Learning-enabled Segmentation of Breast Cancer

CoNIC Challenge: Pushing the Frontiers of Nuclear Detection,
  Segmentation, Classification and Counting

Scellseg: A style-aware deep learning tool for adaptive cell instance segmentation by contrastive fine-tuning

MRL: Learning to Mix with Attention and Convolutions

Development of an artificial intelligence-derived histologic signature associated with adjuvant gemcitabine treatment outcomes in pancreatic cancer


Computer vision assisted tool to extract numerical data from plot images.

Quantifying antibody kinetics and RNA detection during early-phase SARS-CoV-2 infection by time since symptom onset

Global karst springs hydrograph dataset for research and management of the world’s fastest-flowing groundwater

Expanded dataset of mechanical properties and observed phases of multi-principal element alloys

Autonomous and Semiautonomous Intersection Management: A Survey

IEEE intelligent transportation systems magazine

Updated constraints on axion-like particles from temporal information in supernova SN1987A gamma-ray data

A Physiology-Based Model of Human Bile Acid Metabolism for Predicting Bile Acid Tissue Levels After Drug Administration in Healthy Subjects and BRIC Type 2 Patients

Skeptic: Automatic, Justified and Privacy-Preserving Password Composition Policy Selection

A systematic review and meta-analysis of pathogen reduction in onsite sanitation systems

Running Online Behavioral Experiments Using R: Implementation of a Response-Time Decision Making Task as an R-Shiny App

Intravenous zoledronate for postmenopausal women with osteopenia and osteoporosis: a systematic review and metanalysis


GRIDSS: the Genomic Rearrangement IDentification Software Suite

Clonal dynamics of haematopoiesis across the human lifespan

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

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

Structural variant evolution after telomere crisis

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

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

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

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


New generation entropy codecs : Finite State Entropy and Huff0

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

Lightweight compression with encryption based on Asymmetric Numeral
  Systems

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

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

The Efficiency of the ANS Entropy Encoding

Encoding of probability distributions for Asymmetric Numeral Systems

Compressing Colour Images with Joint Inpainting and Prediction

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


Modular Analysis and Reconstruction for the LINear Collider

Simulated Detector Performance at the Muon Collider

Searching for Majorana Neutrinos at a Same-Sign Muon Collider

Prospects for the Measurement of the Standard Model Higgs Pair
  Production at the Muon Colliders

Status of ILD new 250 GeV common MC sample production.

The mini-DST: a high-level LCIO format

Towards a Muon Collider


dataset and code for 2016 paper "Learning a Driving Simulator"

DeepTest: Automated Testing of Deep-Neural-Network-Driven Autonomous Cars

Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning

Learning a Driving Simulator

Predicting Scene Parsing and Motion Dynamics in the Future

Autonomous Driving with Deep Learning: A Survey of State-of-Art
  Technologies

Explainable Artificial Intelligence for Autonomous Driving: A
  Comprehensive Overview and Field Guide for Future Research Directions

Deep Learning Based Motion Planning For Autonomous Vehicle Using Spatiotemporal LSTM Network

ARTDL: Adaptive Random Testing for Deep Learning Systems

Road Context-aware Intrusion Detection System for Autonomous Cars

Practical Issues of Action-conditioned Next Image Prediction


A web service for semi-automated conversion of raw imaging data to BIDS

The open diffusion data derivatives, brain data upcycling via integrated publishing of derivatives and reproducible open cloud services

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


Open Source EMEP/MSC-W model

Effects of ship emissions on air quality in the Baltic Sea region simulated with three different chemistry transport models

Ensemble forecasts of air quality in eastern China – Part 1: Model description and implementation of the MarcoPolo–Panda prediction system, version 1

Modelling public health improvements as a result of air pollution control policies in the UK over four decades—1970 to 2010

Non-linear response of PM 2.5 to changes in NO x and NH 3 emissions in the Po basin (Italy): consequences for air quality plans

HAL (Le Centre pour la Communication Scientifique Directe)

Effects of strengthening the Baltic Sea ECA regulations

Shipping emissions in the Iberian Peninsula and the impacts on air quality

Advanced methods for uncertainty assessment and global sensitivity analysis of an Eulerian atmospheric chemistry transport model

Supplementary material to "Model evaluation of short-lived climate forcers for the Arctic Monitoring and Assessment Programme: a multi-species, multi-model study"

Why is the city's responsibility for its air pollution often underestimated? A focus on PM2:5

Zenodo (CERN European Organization for Nuclear Research)

Downscaling of air pollutants in Europe using uEMEP_v6


Shark: introducing an open source, free, and flexible semi-analytic model of galaxy formation

Monthly Notices of the Royal Astronomical Society

From the far-ultraviolet to the far-infrared – galaxy emission at 0 ≤ z ≤ 10 in the shark semi-analytic model

Monthly notices of the Royal Astronomical Society

Physical properties and evolution of (sub-)millimetre-selected galaxies in the galaxy formation simulation SHARK

The first supermassive black holes: indications from models for future observations

The H I velocity function: a test of cosmology or baryon physics?

The physical drivers of the atomic hydrogen-halo mass relation

From rest-frame luminosity functions to observer-frame colour distributions: tackling the next challenge in cosmological simulations

Unveiling the atomic hydrogen-halo mass relation via spectral stacking

Characterizing the structure of halo merger trees using a single parameter: the tree entropy

Unveiling the main sequence of galaxies at z ≥ 5 with the James
  Webb Space Telescope: predictions from simulations


Tool to fix bitexts and tag near-duplicates for removal

CroissantLLM: A Truly Bilingual French-English Language Model

The EuroPat Corpus: A Parallel Corpus of European Patent Data

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Neural Machine Translation with Inflected Lexicon


RAW image processing for Python, a wrapper for libraw

Burst Photography for Learning to Enhance Extremely Dark Images

GenISP: Neural ISP for Low-Light Machine Cognition

Raw or Cooked? Object Detection on RAW Images

Measured Albedo in the Wild: Filling the Gap in Intrinsics Evaluation


R We There Yet?

Complete avian malaria parasite genomes reveal features associated with lineage-specific evolution in birds and mammals

Estimating the Effective Sample Size of Tree Topologies from Bayesian Phylogenetic Analyses

Punctuated evolution and transitional hybrid network in an ancestral cell cycle of fungi

An in silico comparison of reduced-representation and sequence-capture protocols for phylogenomics


Nextflow RNA-Seq Best Practice analysis pipeline, used at the SciLifeLab National Genomics Infrastructure.

Toll-like receptor signaling in thymic epithelium controls monocyte-derived dendritic cell recruitment and Treg generation

Gene Expression and Epigenetic Changes in Mice Following Inhalation of Copper(II) Oxide Nanoparticles

The Differential Effect of Carbon Dots on Gene Expression and DNA Methylation of Human Embryonic Lung Fibroblasts as a Function of Surface Charge and Dose

International journal of molecular sciences

Effects of overexpression of STB5 in Saccharomyces cerevisiae on fatty acid biosynthesis, physiology and transcriptome

Ginsenoside Rg3 Reduces the Toxicity of Graphene Oxide Used for pH-Responsive Delivery of Doxorubicin to Liver and Breast Cancer Cells

Multi-Omics Characterization of a Human Stem Cell-Based Model of Cardiac Hypertrophy


detect demographic differences in the output of machine learning models or other assessments

On Fairness and Calibration

Fairness in Machine Learning: A Survey

What does it mean to solve the problem of discrimination in hiring?
  Social, technical and legal perspectives from the UK on automated hiring
  systems

An Introduction to Ethics in Robotics and AI

LiFT: A Scalable Framework for Measuring Fairness in ML Applications

International Conference on Information and Knowledge Management

Educating Software and AI Stakeholders About Algorithmic Fairness, Accountability, Transparency and Ethics

International journal of artificial intelligence in education

Awareness in Practice: Tensions in Access to Sensitive Attribute Data for Antidiscrimination

Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics

A Framework for Fairness: A Systematic Review of Existing Fair AI
  Solutions

Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases


The new theme for the precious plastic site


End-to-end training of sparse deep neural networks with little-to-no performance loss.

SNIP: Single-shot Network Pruning based on Connection Sensitivity

Sparse Networks from Scratch: Faster Training without Losing Performance

Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win

The State of Sparse Training in Deep Reinforcement Learning

Accurate Neural Network Pruning Requires Rethinking Sparse Optimization

[Reproducibility Report] Rigging the Lottery: Making All Tickets Winners

Peeking inside Sparse Neural Networks using Multi-Partite Graph
  Representations


int8_t and int16_t matrix multiply based on https://arxiv.org/abs/1705.01991

The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020

Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPU

Edinburgh’s Submissions to the 2020 Machine Translation Efficiency Task

Workshop on Neural Generation and Translation

Compressing Neural Machine Translation Models with 4-bit Precision

Efficient Machine Translation with Model Pruning and Quantization

Speed-optimized, Compact Student Models that Distill Knowledge from a Larger Teacher Model: the UEDIN-CUNI Submission to the WMT 2020 News Translation Task

Empirical Methods in Natural Language Processing


Evolutionary Hyperband for Scalable, Robust and Efficient Hyperparameter Optimization

Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges

DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization

YAHPO Gym -- An Efficient Multi-Objective Multi-Fidelity Benchmark for
  Hyperparameter Optimization

FedHPO-B: A Benchmark Suite for Federated Hyperparameter Optimization

Supervising the Multi-Fidelity Race of Hyperparameter Configurations

Scaling Laws for Hyperparameter Optimization


Geomorph is a software package for performing all stages of geometric morphometric shape analysis of landmark points and curves in 2-and-3-dimensions as well as 3D surfaces in the R statistical computing environment. This repository is dedicated to providing stable and beta versions between CRAN uploads

Photographic database of the European cave salamanders, genus Hydromantes

Integrative taxonomic revision of the Ethiopian endemic rodent genus Stenocephalemys (Muridae: Murinae: Praomyini) with the description of two new species

Updating salamander datasets with phenotypic and stomach content information for two mainland Speleomantes

Common-garden comparison of relative survival and fitness-related traits of wild, farm, and hybrid Atlantic salmon Salmo salar parr in nature

3D Geometric Morphometrics Reveals Convergent Character Displacement in the Central European Contact Zone between Two Species of Hedgehogs (Genus Erinaceus)

The first Miocene fossils from coastal woodlands in the southern East African Rift

Six new species of Pristimantis (Anura: Strabomantidae) from Llanganates National Park and Sangay National Park in Amazonian cloud forests of Ecuador

Better sturdy or slender? Eurasian otter skull plasticity in response to feeding ecology

Bergmann’s Rule under Rocks: Testing the Influence of Latitude and Temperature on a Chiton from Mexican Marine Ecoregions


A tool that allows to get UMI counts from a single cell protein assay

Cell Hashing with barcoded antibodies enables multiplexing and doublet detection for single cell genomics

Identification of Required Host Factors for SARS-CoV-2 Infection in Human Cells

An immune-cell signature of bacterial sepsis

Dynamics of the 4D genome during in vivo lineage specification and differentiation

A modified vaccinia Ankara vector-based vaccine protects macaques from SARS-CoV-2 infection, immune pathology, and dysfunction in the lungs

MYC deficiency impairs the development of effector/memory T lymphocytes

Physioxia-induced downregulation of Tet2 in hematopoietic stem cells contributes to enhanced self-renewal

Dynamics of the 4D genome during lineage specification, differentiation and maturation in vivo

Defective LAT signalosome pathology in mice mimics human IgG4-related disease at single-cell level

The Journal of experimental medicine/The journal of experimental medicine


Single Cell Analysis Pipelines

Single-Cell Sequencing Reveals an Intrinsic Heterogeneity of the Preovulatory Follicular Microenvironment

Single-Cell Transcriptome Comparison of Bladder Cancer Reveals Its Ecosystem

Midpalatal Suture: Single-Cell RNA-Seq Reveals Intramembrane Ossification and Piezo2 Chondrogenic Mesenchymal Cell Involvement

Identification of long noncoding RNA NEAT1 as a key gene involved in the extramedullary disease of multiple myeloma by bioinformatics analysis

SUMO1 regulates post-infarct cardiac repair based on cellular heterogeneity

Single-cell atlas of dental pulp stem cells exposed to the oral bacteria Porphyromonas gingivalis and Enterococcus faecalis

Frontiers in cell and developmental biology

Exploration of the impact of multimode thermal therapy versus radiofrequency ablation on CD8+ T effector cells of liver malignancies based on single cell transcriptomics

Deciphering the single-cell transcriptome network in keloids with intra-lesional injection of triamcinolone acetonide combined with 5-fluorouracil


DeepWalk - Deep Learning for Graphs

DeepWalk: Online Learning of Social Representations

PROCEEDINGS OF THE 20TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD'14)

Revisiting Semi-Supervised Learning with Graph Embeddings

A Survey on Network Embedding

Heterogeneous Information Network Embedding for Recommendation

Network Representation Learning: A Survey

Representation Learning for Attributed Multiplex Heterogeneous Network

Inductive Representation Learning on Temporal Graphs

Graph Self-Supervised Learning: A Survey

A Comprehensive Survey on Pretrained Foundation Models: A History from
  BERT to ChatGPT

Graph-based Semi-supervised Learning: A Comprehensive Review


hanabi_learning_environment is a research platform for Hanabi experiments.

A survey and critique of multiagent deep reinforcement learning

Is Vanilla Policy Gradient Overlooked? Analyzing Deep Reinforcement
  Learning for Hanabi

Reinforcement Learning on Human Decision Models for Uniquely
  Collaborative AI Teammates


Privacy preserving voluntary Covid-19 self-reporting platform. Share your location history and status, get alerts you are in high risk areas and identify high risk regions

Quest: Practical and Oblivious Mitigation Strategies for COVID-19 using WiFi Datasets

PCT-TEE: Trajectory-based Private Contact Tracing System with Trusted Execution Environment

Tracking the Invisible: Privacy-Preserving Contact Tracing to Control the Spread of a Virus

An Exploratory Characterization of Bugs in COVID-19 Software Projects


SPLADE: sparse neural search (SIGIR21, SIGIR22)

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

SPLADE: Sparse Lexical and Expansion Model for First Stage Ranking

SPLADE v2: Sparse Lexical and Expansion Model for Information Retrieval

An Efficiency Study for SPLADE Models

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

Faster Learned Sparse Retrieval with Guided Traversal

Adaptive Re-Ranking with a Corpus Graph

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

SpaDE: Improving Sparse Representations using a Dual Document Encoder for First-stage Retrieval

Aggretriever: A Simple Approach to Aggregate Textual Representations for Robust Dense Passage Retrieval

A Dense Representation Framework for Lexical and Semantic Matching

Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking


[Pedestron] Generalizable Pedestrian Detection: The Elephant In The Room. @ CVPR2021

Center and Scale Prediction: Anchor-free Approach for Pedestrian and Face Detection

Beyond Appearance: a Semantic Controllable Self-Supervised Learning
  Framework for Human-Centric Visual Tasks

F2DNet: Fast Focal Detection Network for Pedestrian Detection

Confluence: A Robust Non-IoU Alternative to Non-Maxima Suppression in Object Detection

Pedestrian Detection: Domain Generalization, CNNs, Transformers and
  Beyond


A software package for calculating, applying, evaluating and plotting the results of polygenic risk scores

Genetic comorbidity between major depression and cardio-metabolic disease, stratified by age at onset of major depression

Associations and limited shared genetic aetiology between bipolar disorder and cardiometabolic traits in the UK Biobank

The power of pathway-based polygenic risk scores

The genomics of childhood eating behaviours

Multivariate genetic analysis of personality and cognitive traits reveals abundant pleiotropy

Phenotypic Associations and Shared Genetic Etiology between Bipolar Disorder and Cardiometabolic Traits

Topic modeling identifies novel genetic loci associated with multimorbidities in UK Biobank

Genome-wide association study in 404,302 individuals identifies 7 significant loci for reaction time variability

medRxiv : the preprint server for health sciences


Audio fingerprinting and recognition in Python

Audio-based Near-Duplicate Video Retrieval with Audio Similarity Learning

Sonus Texere! Automated Dense Soundtrack Construction for Books using Movie Adaptations

Accuracy comparisons of fingerprint based song recognition approaches using very high granularity


Crawler for linguistic corpora

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

Building Machine Translation Systems for the Next Thousand Languages

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


DeepMind's Tacotron-2 Tensorflow implementation

Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

A Survey on Neural Speech Synthesis

End-to-End Emotional Speech Synthesis Using Style Tokens and Semi-Supervised Training

Prosodic Features Control by Symbols as Input of Sequence-to-Sequence Acoustic Modeling for Neural TTS

IEICE transactions on information and systems

Es-Tacotron2: Multi-Task Tacotron 2 with Pre-Trained Estimated Network for Reducing the Over-Smoothness Problem


Geometry based point cloud compression (G-PCC) test model

Multiscale Point Cloud Geometry Compression

MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models

Sparse Tensor-based Point Cloud Attribute Compression

3DAC: Learning Attribute Compression for Point Clouds

BASICS: Broad quality Assessment of Static point clouds In Compression
  Scenarios

Neural Network Modeling of Probabilities for Coding the Octree Representation of Point Clouds

IPDAE: Improved Patch-Based Deep Autoencoder for Lossy Point Cloud
  Geometry Compression

Linear Model based Geometry Coding for Lidar Acquired Point Clouds

Efficient LiDAR Point Cloud Geometry Compression Through Neighborhood
  Point Attention

R-PCC: A Baseline for Range Image-based Point Cloud Compression


Pure Python Java parser and tools

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

Unsupervised Translation of Programming Languages

Detecting Code Clones with Graph Neural Network and Flow-Augmented Abstract Syntax Tree

Software Defect Prediction via Attention-Based Recurrent Neural Network

On Learning Meaningful Assert Statements for Unit Test Cases

International Conference on Software Engineering

A Self-Attentional Neural Architecture for Code Completion with Multi-Task Learning

CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing

Patching as Translation: the Data and the Metaphor

International Conference on Automated Software Engineering

AVATAR: A Parallel Corpus for Java-Python Program Translation

Adversarial Robustness of Deep Code Comment Generation


FlauBERT: Unsupervised Language Model Pre-training for French

BARThez: a Skilled Pretrained French Sequence-to-Sequence Model

Pre-training Polish Transformer-based Language Models at Scale

ASR-Generated Text for Language Model Pre-training Applied to Speech Tasks

Word Sense Disambiguation for Automatic Translation of Medical Dialogues into Pictographs

Recent Advances in Natural Language Processing

UoR-NCL at SemEval-2022 Task 3: Fine-Tuning the BERT-Based Models for Validating Taxonomic Relations

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

Using ASR-Generated Text for Spoken Language Modeling

Proceedings of BigScience Episode #5 -- Workshop on Challenges & Perspectives in Creating Large Language Models


Galaxy Federated Learning Framework （星际联邦学习框架）

Dynamic Fusion based Federated Learning for COVID-19 Detection

Toward Trustworthy AI: Blockchain-Based Architecture Design for Accountability and Fairness of Federated Learning Systems

GFL: A Decentralized Federated Learning Framework Based On Blockchain


Compute FID scores with PyTorch.

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

Are GANs Created Equal? A Large-Scale Study

Contrastive Learning for Unpaired Image-to-Image Translation

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

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models

T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for
  Text-to-Image Diffusion Models

On Aliased Resizing and Surprising Subtleties in GAN Evaluation

GAN Compression: Efficient Architectures for Interactive Conditional GANs

Variational Discriminator Bottleneck: Improving Imitation Learning, Inverse RL, and GANs by Constraining Information Flow


Scripts and data for OceanAdapt website to visualize shifts in marine animal distributions


HiRep repository

Glueballs and strings in
Sp(2N)
 Yang-Mills theories

Ergodic sampling of the topological charge using the density of states

Lattice studies of the Sp(4) gauge theory with two fundamental and three Dirac fermions

Investigating the conformal behavior of SU(2) with one adjoint Dirac flavor

Sp(2N) Lattice Gauge Theories and Extensions of the Standard Model of Particle Physics

Singlets in gauge theories with fundamental matter


Rapidly subtype microbial genomes using single-nucleotide variant (SNV) subtyping schemes

Laboratory and molecular surveillance of paediatric typhoidal Salmonella in Nepal: Antimicrobial resistance and implications for vaccine policy

A Comprehensive Map of Mycobacterium tuberculosis Complex Regions of Difference

Population structure and antimicrobial resistance patterns of Salmonella Typhi isolates in urban Dhaka, Bangladesh from 2004 to 2016

Rapid and accurate SNP genotyping of clonal bacterial pathogens with BioHansel


Readers for the data from the International Soil Moisture Network


Python package providing mesoscale connectivity models for mouse.

High-resolution data-driven model of the mouse connectome

Multimodal measures of spontaneous brain activity reveal both common and divergent patterns of cortical functional organization

Multimodal measures of spontaneous brain activity reveals both common and divergent patterns of cortical functional organization


A OpenMMLAB toolbox  for human pose estimation, skeleton-based action recognition, and action synthesis.

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Graph Embedded Pose Clustering for Anomaly Detection

Vision-based Human Fall Detection Systems using Deep Learning: A Review

Predictively encoded graph convolutional network for noise-robust skeleton-based action recognition

Graph Neural Network based Child Activity Recognition

Recognition of Rare Low-Moral Actions Using Depth Data

HA-ViD: A Human Assembly Video Dataset for Comprehensive Assembly
  Knowledge Understanding


Modelling jetted Active Galactic Nuclei radiative processes with python

VHE gamma-ray detection of FSRQ QSO B1420+326 and modeling of its enhanced broadband state in 2020

agnpy: An open-source python package modelling the radiative processes of jetted active galactic nuclei

Multiwavelength study of the gravitationally lensed blazar QSO B0218+357 between 2016 and 2020

Precession-induced Variability in AGN Jets and OJ 287


Geospatial Land Availability for Energy Systems

The techno-economic potential of offshore wind energy with optimized future turbine designs in Europe

Evaluating Land Eligibility Constraints of Renewable Energy Sources in Europe

Uniformly constrained land eligibility for onshore European wind power


Creative Commons Attribution 4.0 International

Medical action ontology

Ontology Development Kit: a toolkit for building, maintaining and standardizing biomedical ontologies

The landscape of nutri-informatics: a review of current resources and challenges for integrative nutrition research

Database : the journal of biological databases and curation

DDIEM: drug database for inborn errors of metabolism

Phenopacket-tools: Building and validating GA4GH Phenopackets


Python toolkit for GEOS-Chem.  Contains basic plotting scripts, plus the suite of GEOS-Chem benchmarking utilities.


python library for atomistic machine learning

Deep learning of dynamically responsive chemical Hamiltonians with semiempirical quantum mechanics

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

Lightweight and Effective Tensor Sensitivity for Atomistic Neural
  Networks

Machine learning potentials with Iterative Boltzmann Inversion: training
  to experiment


XSBench: The Monte Carlo Macroscopic Cross Section Lookup Benchmark

Mitosis: Transparently Self-Replicating Page-Tables for Large-Memory Machines

Algorithm-Directed Crash Consistence in Non-Volatile Memory for HPC

ytopt: Autotuning Scientific Applications for Energy Efficiency at Large
  Scales

Crossing the architectural barrier: Evaluating representative regions of parallel HPC applications

International Symposium on Performance Analysis of Systems and Software

LCFI: A Fault Injection Tool for Studying Lossy Compression Error Propagation in HPC Programs

Improving the scalabiliy of neutron cross-section lookup codes on
  multicore NUMA system


Python3 scripts to manipulate FASTA and FASTQ files

IVA: accurate de novo assembly of RNA virus genomes

SeroBA: rapid high-throughput serotyping of Streptococcus pneumoniae from whole genome sequence data

Genomic epidemiology of syphilis reveals independent emergence of macrolide resistance across multiple circulating lineages

Easy and accurate reconstruction of whole HIV genomes from short-read sequence data with shiver

Exploring bacterial diversity via a curated and searchable snapshot of archived DNA sequences

Rapid multi-locus sequence typing direct from uncorrected long reads using Krocus

Exploration of antibiotic resistance risks in a veterinary teaching hospital with Oxford Nanopore long read sequencing

Nearly Complete Genome Sequence of Brugia malayi Strain FR3

Easy and Accurate Reconstruction of Whole HIV Genomes from Short-Read Sequence Data

HIV-1 Unique Recombinant Forms Identified in Slovenia and Their Characterization by Near Full-Length Genome Sequencing


A constant throughput, correct latency recording variant of wrk

FIRM: An Intelligent Fine-Grained Resource Management Framework for SLO-Oriented Microservices

FaaSdom: A Benchmark Suite for Serverless Computing.

Fault-tolerant and Transactional Stateful Serverless Workflows (extended
  version)

X-search: revisiting private web search using intel SGX

Proceedings of the 18th ACM/IFIP/USENIX Middleware Conference

Trust Management as a Service: Enabling Trusted Execution in the Face of Byzantine Stakeholders

Retrofitting Effect Handlers onto OCaml

Programming Language Design and Implementation

Kollaps: Decentralized and Dynamic Topology Emulation

An Instrumenting Compiler for Enforcing Confidentiality in Low-Level Code

PubSub-SGX: Exploiting Trusted Execution Environments for Privacy-Preserving Publish/Subscribe Systems

Symposium on Reliable Distributed Systems

Me Love (SYN-)Cookies: SYN Flood Mitigation in Programmable Data Planes


1D/2D indexing and querying on bgzipped text file with a pair of genomic coordinates

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

Hi-C analysis: from data generation to integration

Pairs and Pairix: a file format and a tool for efficient storage and retrieval for Hi-C read pairs

Systematic characterization of regulatory variants of blood pressure genes

lncRNA read-through regulates the BX-C insulator Fub-1

The insulating activity of theDrosophilaBX-C chromatin boundaryFub-1is parasegmentally regulated by lncRNA read-through


Baseline Systems of DuReader Dataset

Bidirectional Attention Flow for Machine Comprehension

Machine Comprehension Using Match-LSTM and Answer Pointer

DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications

C-Pack: Packaged Resources To Advance General Chinese Embedding

Emerging trends: A gentle introduction to fine-tuning

Emerging Trends: SOTA-Chasing

DuReader_robust: A Chinese Dataset Towards Evaluating Robustness and Generalization of Machine Reading Comprehension in Real-World Applications

DuReader_retrieval: A Large-scale Chinese Benchmark for Passage
  Retrieval from Web Search Engine

Multitask Pre-training of Modular Prompt for Chinese Few-Shot Learning

When Retriever-Reader Meets Scenario-Based Multiple-Choice Questions


A Property Graph Model Interface (no longer active - see Apache TinkerPop)

NScale: neighborhood-centric large-scale graph analytics in the cloud

An introduction to Graph Data Management

Storing and Analyzing Historical Graph Data at Scale

Automatic View Selection in Graph Databases


A toolkit for tools and techniques related to the privacy and compliance of AI models.

Data minimization for GDPR compliance in machine learning models

Anonymizing Machine Learning Models

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


Python package for causal discovery based on LiNGAM.

On the Role of Sparsity and DAG Constraints for Learning Linear DAGs

Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game

Variational Causal Networks: Approximate Bayesian Inference over Causal Structures

Joint estimation of linear non-Gaussian acyclic models

Neural graphical modelling in continuous-time: consistency guarantees
  and algorithms

Analyzing relationships among ARMA processes based on non-Gaussianity of external influences

Symbiotic bacterial network structure involved in carbon and nitrogen
  metabolism of wood-utilizing insect larvae

MissDAG: Causal Discovery in the Presence of Missing Data with
  Continuous Additive Noise Models

Estimation of symbiotic bacterial structure in a sustainable seagrass
  ecosystem on recycled management

ParaLiNGAM: Parallel causal structure learning for linear non-Gaussian acyclic models


A pretty sweet RML engine, for RDF.

Domain-specific Knowledge Graphs: A survey

SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs

International Conference on Information and Knowledge Management

The SEPSES Knowledge Graph: An Integrated Resource for Cybersecurity

FunMap: Efficient Execution of Functional Mappings for Knowledge Graph Creation

Declarative RDF graph generation from heterogeneous (semi-)structured data: A systematic literature review

Enhancing virtual ontology based access over tabular data with Morph-CSV

Using Mapping Languages for Building Legal Knowledge Graphs from XML Files

Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data
  Sources

R2RML and RML Comparison for RDF Generation, their Rules Validation and Inconsistency Resolution

Finding Non-compliances with Declarative Process Constraints Through Semantic Technologies

Lecture notes in business information processing


Graph convolutions in Keras with TensorFlow, PyTorch or Jax.

SchNet - A deep learning architecture for molecules and materials.

Analyzing Learned Molecular Representations for Property Prediction

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

Pushing the Boundaries of Molecular Representation for Drug Discovery with the Graph Attention Mechanism

Implementing graph neural networks with TensorFlow-Keras

MEGAN: Multi-Explanation Graph Attention Network


Perceptual Quality Estimator for speech and audio

High Fidelity Neural Audio Compression

ViSQOL v3: An Open Source Production Ready Objective Speech and Audio Metric

Objective Measures of Perceptual Audio Quality Reviewed: An Evaluation of Their Application Domain Dependence

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

Assessment of QoE for Video and Audio in WebRTC Applications Using Full-Reference Models

Can You See Me Now? A Measurement Study of Zoom, Webex, and Meet

PROCEEDINGS OF THE 2021 ACM INTERNET MEASUREMENT CONFERENCE, IMC 2021

UniAudio: An Audio Foundation Model Toward Universal Audio Generation

Perceptual Evaluation of 360 Audiovisual Quality and Machine Learning Predictions

InSE-NET: A Perceptually Coded Audio Quality Model based on CNN

Stereo InSE-NET: Stereo Audio Quality Predictor Transfer Learned from
  Mono InSE-NET

From Discrete Tokens to High-Fidelity Audio Using Multi-Band Diffusion


Unifying Vision, Text, and Layout for Universal Document Processing

Any-to-Any Generation via Composable Diffusion

Visually-Situated Natural Language Understanding with Contrastive
  Reading Model and Frozen Large Language Models


Social Watcher on Facebook Marketing API

Using Facebook Ads Audiences for Global Lifestyle Disease Surveillance: Promises and Limitations

Online Surveys and Digital Demography in the Developing World: Facebook Users in Kenya

Using Facebook advertising data to describe the socio-economic situation of Syrian refugees in Lebanon


Fast and accurate object detection with end-to-end GPU optimization

Deep Residual Learning for Image Recognition

Focal Loss for Dense Object Detection

Feature Pyramid Networks for Object Detection

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour


CodeGeeX: An Open Multilingual Code Generation Model (KDD 2023)

CodeBLEU: a Method for Automatic Evaluation of Code Synthesis

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual
  Evaluations on HumanEval-X

CodeGeeX: A Pre-Trained Model for Code Generation with Multilingual Benchmarking on HumanEval-X

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

A survey of Generative AI Applications

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

CrossCodeEval: A Diverse and Multilingual Benchmark for Cross-File Code
  Completion

A Survey on Large Language Models for Software Engineering

Understanding LLMs: A Comprehensive Overview from Training to Inference


Client library for interfacing with USGS datasets


TensorFlow-Slim: A lightweight library for defining, training and evaluating complex models in TensorFlow

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

Predicting Risk of Developing Diabetic Retinopathy using Deep Learning

Learning Black-Box Attackers with Transferable Priors and Query Feedback

Detecting Adversarial Examples by Input Transformations, Defense Perturbations, and Voting

IEEE transactions on neural networks and learning systems

Automatic Fungi Recognition: Deep Learning Meets Mycology

Classification Efficiency of Pre-Trained Deep CNN Models on Camera Trap Images


Parse multiple Antimicrobial Resistance Analysis Reports into a common data structure

Overcoming Data Bottlenecks in Genomic Pathogen Surveillance

Clinical infectious diseases/Clinical infectious diseases (Online. University of Chicago. Press)

Datasets for benchmarking antimicrobial resistance genes in bacterial metagenomic and whole genome sequencing

hAMRoaster: a tool for comparing performance of AMR gene detection software

Applied Bioinformatics and Public Health Microbiology: challenges, discoveries and innovations during a pandemic


Pythonic stellar model grid access; easy MCMC fitting of stellar properties

A resonant chain of four transiting, sub-Neptune planets

The California-Kepler Survey. II. Precise Physical Properties of 2025 Kepler Planets and Their Host Stars

Stellar and planetary properties of K2 campaign 1 candidates and validation of 17 planets, including a planet receiving Earth-like insolation

Psychological and Social Implications of Aging Skin: Normal Aging and the Effects of Cutaneous Disease

Absence of a Metallicity Effect for Ultra-short-period Planets

Inferring the age of the universe with globular clusters

Journal of Cosmology and Astroparticle Physics

Spectroscopic Parameters and atmosphEric ChemIstriEs of Stars (SPECIES) - I. Code description and dwarf stars catalogue

An exomoon survey of 70 cool giant exoplanets and the new candidate Kepler-1708 b-i

An Ultra Metal-poor Star Near the Hydrogen-burning Limit

K2-231 b: A Sub-Neptune Exoplanet Transiting a Solar Twin in Ruprecht 147


Open solution to the Mapping Challenge :earth_americas:

U-Net: Convolutional Networks for Biomedical Image Segmentation

Effective Use of Dilated Convolutions for Segmenting Small Object Instances in Remote Sensing Imagery

TernausNetV2: Fully Convolutional Network for Instance Segmentation

Accurate Polygonal Mapping of Buildings in Satellite Imagery


Collection of hyperparameter optimization benchmark problems

BoTorch: A Framework for Efficient Monte-Carlo Bayesian Optimization

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO

Fast Hyperparameter Tuning using Bayesian Optimization with Directional Derivatives

EXPObench: Benchmarking Surrogate-based Optimisation Algorithms on
  Expensive Black-box Functions

Reinforced Few-Shot Acquisition Function Learning for Bayesian Optimization

Searching in the Forest for Local Bayesian Optimization


Deep learning for plant phenotyping.


Bolt is a deep learning library with high performance and heterogeneous flexibility.

IDa-Det: An Information Discrepancy-aware Distillation for 1-bit
  Detectors

Recurrent Bilinear Optimization for Binary Neural Networks

BiFSMNv2: Pushing Binary Neural Networks for Keyword Spotting to Real-Network Performance

Resilient Binary Neural Network

Binary Neural Networks as a general-propose compute paradigm for
  on-device computer vision

DCP–NAS: Discrepant Child–Parent Neural Architecture Search for 1-bit CNNs

HW-TSC’s Participation in the WMT 2021 Efficiency Shared Task

Binarizing by Classification: Is Soft Function Really Necessary?


skweak: A software toolkit for weak supervision applied to NLP tasks

WRENCH: A Comprehensive Benchmark for Weak Supervision

skweak: Weak Supervision Made Easy for NLP

Meeting of the Association for Computational Linguistics

WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding


An Automata Learning Library Written in Python

AALpy: an active automata learning library

Learning Task Automata for Reinforcement Learning using Hidden Markov
  Models

FlexFringe: Modeling Software Behavior by Learning Probabilistic
  Automata

Active vs. Passive: A Comparison of Automata Learning Paradigms for Network Protocols


ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

GLM: General Language Model Pretraining with Autoregressive Blank Infilling

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

Instruction Tuning for Large Language Models: A Survey

L-Eval: Instituting Standardized Evaluation for Long Context Language
  Models

TrustLLM: Trustworthiness in Large Language Models

SuperCLUE: A Comprehensive Chinese Large Language Model Benchmark

GPT Can Solve Mathematical Problems Without a Calculator

MetaTool Benchmark for Large Language Models: Deciding Whether to Use
  Tools and Which to Use

CMB: A Comprehensive Medical Benchmark in Chinese


Statistical climate downscaling in Python


Direct Sparse Odometry

Direct Sparse Odometry

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

Good Feature Matching: Toward Accurate, Robust VO/VSLAM With Low Latency

Good Feature Selection for Least Squares Pose Optimization in VO/VSLAM

Sparse2Dense: From direct sparse odometry to dense 3D reconstruction

SDVL: Efficient and Accurate Semi-Direct Visual Localization

Automated Indoor Image Localization to Support a Post-Event Building Assessment

Virtual testbed for monocular visual navigation of small unmanned aircraft systems

The Journal of Defense Modeling and Simulation: Applications, Methodology, Technology


YACCLAB: Yet Another Connected Components Labeling Benchmark

Toward reliable experiments on the performance of Connected Components Labeling algorithms

Connected Components Labeling on DRAGs

International Conference on Pattern Recognition

Efficient Source Finding for Radio Interferometric Images

A Heuristic-Based Decision Tree for Connected Components Labeling of 3D Volumes: Implementation and Reproducibility Notes

Reproducible Research in Pattern Recognition


Second Order Optimization and Curvature Estimation with K-FAC in JAX.

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

A Self-Attention Ansatz for Ab-initio Quantum Chemistry

Deep Learning without Shortcuts: Shaping the Kernel with Tailored
  Rectifiers

Stochastic Marginal Likelihood Gradients using Neural Tangent Kernels

Kronecker-Factored Approximate Curvature for Modern Neural Network
  Architectures


"Between the darkness and the dawn, a red cube rises!":  a proof assistant for cartesian cubical type theory

Cubical Agda: A dependently typed programming language with univalence and higher inductive types

Proceedings of the ACM on programming languages

Normalization for Cubical Type Theory

Higher inductive types in cubical computational type theory

Logical Relations as Types: Proof-Relevant Parametricity for Program Modules

Path Spaces of Higher Inductive Types in Homotopy Type Theory

Parametric Cubical Type Theory

The Integers as a Higher Inductive Type

Naive cubical type theory

Cubical methods in homotopy type theory and univalent foundations

Mathematical Structures in Computer Science

Domain Theory in Constructive and Predicative Univalent Foundations


A trusty face analysis research platform developed by Tencent Youtu Lab

AdaFace: Quality Adaptive Margin for Face Recognition

SDD-FIQA: Unsupervised Face Image Quality Assessment with Similarity Distribution Distance

CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability

Consistent Instance False Positive Improves Fairness in Face Recognition

DCFace: Synthetic Face Generation with Dual Condition Diffusion Model

Evaluation-oriented Knowledge Distillation for Deep Face Recognition

Privacy-Preserving Face Recognition with Learnable Privacy Budgets in Frequency Domain

DuetFace: Collaborative Privacy-Preserving Face Recognition via Channel Splitting in the Frequency Domain

Proceedings of the 30th ACM International Conference on Multimedia

Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition

DifFIQA: Face Image Quality Assessment Using Denoising Diffusion
  Probabilistic Models


Fast, sensitive and accurate integration of single-cell data with Harmony

Fast, sensitive, and accurate integration of single cell data with Harmony

Mapping systemic lupus erythematosus heterogeneity at the single-cell level

A reference single-cell transcriptomic atlas of human skeletal muscle tissue reveals bifurcated muscle stem cell populations

scREAD: A Single-Cell RNA-Seq Database for Alzheimer's Disease

SARS-CoV-2 Targets by the pscRNA Profiling of ACE2, TMPRSS2 and Furin Proteases

Cardiac cell type–specific gene regulatory programs and disease risk association

Computational methods for the integrative analysis of single-cell data

Bi-order multimodal integration of single-cell data

Creation of a Single Cell RNASeq Meta-Atlas to Define Human Liver Immune Homeostasis

IMGG: Integrating Multiple Single-Cell Datasets through Connected Graphs and Generative Adversarial Networks

International journal of molecular sciences


MicaSense RedEdge and Altum image processing tutorials

Vegetation monitoring using multispectral sensors — best practices and lessons learned from high latitudes

High-Throughput Phenotyping Enabled Genetic Dissection of Crop Lodging in Wheat

Evaluation of Unoccupied Aircraft System (UAS) Remote Sensing Reflectance Retrievals for Water Quality Monitoring in Coastal Waters

Retrieval of Crop Variables from Proximal Multispectral UAV Image Data Using PROSAIL in Maize Canopy

Development of an Open-Source Thermal Image Processing Software for Improving Irrigation Management in Potato Crops (Solanum tuberosum L.)

An initial exploration of vicarious and in-scene calibration techniques for small unmanned aircraft systems

Improved Accuracy of High-Throughput Phenotyping From Unmanned Aerial Systems by Extracting Traits Directly From Orthorectified Images

Detecting Sorghum Plant and Head Features from Multispectral UAV Imagery

Instantaneous Pre-Fire Biomass and Fuel Load Measurements from Multi-Spectral UAS Mapping in Southern African Savannas

Assessing the performance of YOLOv5 algorithm for detecting volunteer cotton plants in corn fields at three different growth stages


Pedestrian Models for Autonomous Driving Part I: Low-Level Models, From Sensing to Tracking

IEEE transactions on intelligent transportation systems

Tracking People in a Mobile Robot From 2D LIDAR Scans Using Full Convolutional Neural Networks for Security in Cluttered Environments

Robot perception of static and dynamic objects with an autonomous floor scrubber


PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning

Safe-Control-Gym: A Unified Benchmark Suite for Safe Learning-Based Control and Reinforcement Learning in Robotics

Multi-Step Model Predictive Safety Filters: Reducing Chattering by Increasing the Prediction Horizon


The Agile Numerical Galaxy Organisation System

The formation of ultradiffuse galaxies in the RomulusC galaxy cluster simulation

Monthly Notices of the Royal Astronomical Society

The formation of isolated ultradiffuse galaxies in romulus25

TANGOS: The Agile Numerical Galaxy Organization System

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

The Role of Mass and Environment on Satellite distributions around Milky
  Way analogs in the Romulus25 simulation


Python IP address to Autonomous System Number lookup module. (Supports fast local lookups, and historical lookups using archived BGP dumps.)

Clusters in the Expanse: Understanding and Unbiasing IPv6 Hitlists

The Effect of DNS on Tor's Anonymity

Towards Better Understanding of Bitcoin Unreachable Peers.

The Closed Resolver Project: Measuring the Deployment of Inbound Source Address Validation

Zeroing in on Port 0 Traffic in the Wild

Passive and Active Network Measurement Conference


Axon adds axonal spiking to the Leabra framework for error-driven and associative learning

Illuminating dendritic function with computational models

NMDA and GABAB(KIR) Conductances: The “Perfect Couple” for Bistability

The journal of neuroscience/The Journal of neuroscience

Deep Predictive Learning in Neocortex and Pulvinar

Locally Learned Synaptic Dropout for Complete Bayesian Inference


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


Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

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

A Survey of Large Language Models

Instruction Tuning with GPT-4

Instruction Tuning for Large Language Models: A Survey

Knowledge Distillation of Large Language Models

On the Tool Manipulation Capability of Open-source Large Language Models

M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box
  Machine-Generated Text Detection

On the Exploitability of Instruction Tuning

INSTRUCTEVAL: Towards Holistic Evaluation of Instruction-Tuned Large
  Language Models

LLM-powered Data Augmentation for Enhanced Cross-lingual Performance


Simple library/pipeline to generate and handle Hi-C data.

instaGRAAL: chromosome-level quality scaffolding of genomes using a proximity ligation-based scaffolder

Chromosome-level genome assembly reveals homologous chromosomes and recombination in asexual rotifer Adineta vaga

Zenodo (CERN European Organization for Nuclear Research)

Serpentine: a flexible 2D binning method for differential Hi-C analysis

koszullab/hicstuff: Use miniconda layer for docker and improved P(s) normalisation

Bacterial Membrane Vesicles as a Novel Strategy for Extrusion of Antimicrobial Bismuth Drug in Helicobacter pylori

Normalization of Chromosome Contact Maps: Matrix Balancing and Visualization.

Methods in molecular biology (Clifton, N.J.)

Generation of gene-level resolution chromosome contact maps in bacteria and archaea

Transcription-induced domains form the elementary constraining building blocks of bacterial chromosomes

Chromosome-level quality scaffolding of brown algal genomes using InstaGRAAL, a proximity ligation-based scaffolder

Viral proteins activate PARIS-mediated tRNA degradation and viral tRNAs rescue infection

bioRxiv : the preprint server for biology


Distributed and decentralized training framework for PyTorch over graph

Exponential Graph is Provably Efficient for Decentralized Deep Training

DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training

Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD

BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning


DeepLC: Retention time prediction for (modified) peptides using Deep Learning.

A repository of assays to quantify 10,000 human proteins by SWATH-MS

Performance Evaluation of the Q Exactive HF-X for Shotgun Proteomics

DeepLC can predict retention times for peptides that carry as-yet unseen modifications

Cov-MS: A Community-Based Template Assay for Mass-Spectrometry-Based Protein Detection in SARS-CoV-2 Patients

Peptide retention time prediction in hydrophilic interaction liquid chromatography. Comparison of separation selectivity between bare silica and bonded stationary phases


Computer vision library for wildfire detection  Deep learning models in PyTorch & ONNX for inference on edge devices (e.g. Raspberry Pi)


Repository of the open-source RAMP model for generating multi-energy loads profiles


The Super-Resolution for Renewable Resource Data (sup3r) software uses generative adversarial networks to create synthetic high-resolution wind and solar spatiotemporal data from coarse low-resolution inputs.


libcmaes is a multithreaded C++11 library with Python bindings for high performance blackbox stochastic optimization using the CMA-ES algorithm for Covariance Matrix Adaptation Evolution Strategy

Black-Box Data-efficient Policy Search for Robotics

MoG-VQE: Multiobjective genetic variational quantum eigensolver

BSMPT (Beyond the Standard Model Phase Transitions): A tool for the electroweak phase transition in extended Higgs sectors

RegARD: Symmetry-Based Coarse Registration of Smartphone's Colorful Point Clouds with CAD Drawings for Low-Cost Digital Twin Buildings

Multi-objective Model-based Policy Search for Data-efficient Learning with Sparse Rewards

A novel JEAnS analysis of the Fornax dwarf using evolutionary algorithms: mass follows light with signs of an off-centre merger

Morpho Evolution With Learning Using a Controller Archive as an Inheritance Mechanism

Learning to Race through Coordinate Descent Bayesian Optimisation

International Conference on Robotics and Automation

Evolutionary strategy for inverse charge measurements of dielectric particles

Quadratic regularization of bilevel pricing problems and application to electricity retail markets


Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

Attention-Based Models for Speech Recognition

State-of-the-art Speech Recognition With Sequence-to-Sequence Models

Listen, Attend and Spell

Kosp2e: Korean Speech to English Translation Corpus

KoSpeech: Open-Source Toolkit for End-to-End Korean Speech Recognition


An R package for adaptive shrinkage

False discovery rates: a new deal

A simple guide to de novo transcriptome assembly and annotation

Meta-analysis identifies pleiotropic loci controlling phenotypic trade-offs in sorghum

Long-Term Maize-Legume Intercropping Shifts Structure and Composition of Soil Microbiome with Potential Impacts on Ecosystem Services and Food Safety

A novel framework to quantify uncertainty in peptide-tandem mass spectrum matches with application to nanobody peptide identification.


POA Library:  wiki, how-to, FAQ. Includes instructions how to set-up a new network, to run a full node, connect wallets,

A Survey of Distributed Consensus Protocols for Blockchain Networks

IEEE Communications surveys and tutorials/IEEE communications surveys and tutorials

The Attack of the Clones Against Proof-of-Authority

Blockchain-Based Electronic Health Records Management: A Comprehensive Review and Future Research Direction

Formal Verification of Blockchain Byzantine Fault Tolerance

Correctness Analysis of IBFT

P2PEdge: A Decentralised, Scalable P2P Architecture for Energy Trading in Real-Time

Distributed Trust, a Blockchain Election Scheme

Enhanced Secure Technique for Detecting Cyber Attacks Using Artificial Intelligence and Optimal IoT

FlexiChain 3.0: Distributed Ledger Technology-Based Intelligent Transportation for Vehicular Digital Asset Exchange in Smart Cities

XChange: A Universal Mechanism for Asset Exchange between Permissioned Blockchains


Loop Kernel Analysis and Performance Modeling Toolkit

Kerncraft: A Tool for Analytic Performance Modeling of Loop Kernels

Automatic loop kernel analysis and performance modeling with Kerncraft

International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems

Offsite Autotuning Approach


Parameterizing neural power spectra into periodic & aperiodic components.

Automated EEG mega-analysis I: Spectral and amplitude characteristics across studies

L-dopa treatment increases oscillatory power in the motor cortex of Parkinson's disease patients

Impaired spatial learning and suppression of sharp wave ripples by cholinergic activation at the goal location

Regional healthy brain activity, glioma occurrence and symptomatology

Decomposing age effects in EEG alpha power

Resting state activity and connectivity of the nucleus basalis of Meynert and globus pallidus in Lewy body dementia and Parkinson's disease dementia

Vestibular loss disrupts visual reactivity in the alpha EEG rhythm

Developmental trajectories of EEG aperiodic and periodic power: Implications for understanding the timing of thalamocortical development during infancy.

Alteration of Excitation/Inhibition Imbalance in the Hippocampus and Amygdala of Drug-Resistant Epilepsy Patients Treated with Acute Vagus Nerve Stimulation

Prestimulus amygdala spectral activity is associated with visual face awareness


A Nextflow pipeline for running the ARTIC network's fieldbioinformatics tools (https://github.com/artic-network/fieldbioinformatics), with a focus on ncov2019

Monitoring SARS-CoV-2 in municipal wastewater to evaluate the success of lockdown measures for controlling COVID-19 in the UK

Genomic reconstruction of the SARS-CoV-2 epidemic in England

A Comparison of Whole Genome Sequencing of SARS-CoV-2 Using Amplicon-Based Sequencing, Random Hexamers, and Bait Capture

The Evolutionary Landscape of SARS-CoV-2 Variant B.1.1.519 and Its Clinical Impact in Mexico City

poreCov-An Easy to Use, Fast, and Robust Workflow for SARS-CoV-2 Genome Reconstruction via Nanopore Sequencing

Whole-Genome Sequencing of SARS-CoV-2: Assessment of the Ion Torrent AmpliSeq Panel and Comparison with the Illumina MiSeq ARTIC Protocol

MAJORA: Continuous integration supporting decentralised sequencing for SARS-CoV-2 genomic surveillance

Genomic analysis of SARS-CoV-2 reveals local viral evolution in Ghana

Experimental biology and medicine (Maywood, N.J.)

Genomic epidemiology of COVID-19 in care homes in the east of England

Delta-Omicron recombinant escapes therapeutic antibody neutralization


PAIR.withgoogle.com and friend's work on interpretability methods

Visualizing and Measuring the Geometry of BERT

Patchscopes: A Unifying Framework for Inspecting Hidden Representations
  of Language Models

Visualizing Linguistic Diversity of Text Datasets Synthesized by Large Language Models


A Modern Platform for Planning High-Renewable Power Systems


Library for unit extraction - fork of quantulum for python3

ACES: Translation Accuracy Challenge Sets for Evaluating Machine
  Translation Metrics

Measurement Extraction with Natural Language Processing: A Review

Findings of the Association for Computational Linguistics: EMNLP 2022


Ready-to-use code and tutorial notebooks to boost your way into few-shot learning for image classification.

Prototypical Networks for Few-shot Learning

Matching Networks for One Shot Learning

Learning to Compare: Relation Network for Few-Shot Learning

A Closer Look at Few-shot Classification

Few-Shot Learning via Embedding Adaptation with Set-to-Set Functions

A Baseline for Few-Shot Image Classification

SimpleShot: Revisiting Nearest-Neighbor Classification for Few-Shot Learning

Prototype Rectification for Few-Shot Learning

Laplacian Regularized Few-Shot Learning

Transductive Information Maximization For Few-Shot Learning


Algorithm to texture 3D reconstructions from multi-view stereo images

How to build a 2d and 3d aerial multispectral map?—all steps deeply explained

Monitor Cotton Budding Using SVM and UAV Images

3D Reconstruction of Temples in the Special Region of Yogyakarta By Using Close-Range Photogrammetry

Initialization and Alignment for Adversarial Texture Optimization


PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

Deep Voice 3: Scaling Text-to-Speech with Convolutional Sequence Learning

Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention

International Conference on Acoustics, Speech, and Signal Processing

A Survey on Neural Speech Synthesis

Towards Automatic Face-to-Face Translation

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

SpeedySpeech: Efficient Neural Speech Synthesis

IndicSpeech: Text-to-Speech Corpus for Indian Languages

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


Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data

ANN-Benchmarks: A Benchmarking Tool for Approximate Nearest Neighbor Algorithms

Patch SVDD: Patch-level SVDD for Anomaly Detection and Segmentation

A Comprehensive Survey and Experimental Comparison of Graph-Based Approximate Nearest Neighbor Search

Optimization of Indexing Based on k-Nearest Neighbor Graph for Proximity Search in High-dimensional Data.

FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity Search.

Manu: A Cloud Native Vector Database Management System

Navigable Proximity Graph-Driven Native Hybrid Queries with Structured
  and Unstructured Constraints

CoRT: Complementary Rankings from Transformers

Worst-case Performance of Popular Approximate Nearest Neighbor Search
  Implementations: Guarantees and Limitations

Situating Sentence Embedders with Nearest Neighbor Overlap


The official repo of Qwen-VL (通义千问-VL) chat & pretrained large vision language model proposed by Alibaba Cloud.

LoRA: Low-Rank Adaptation of Large Language Models

QLoRA: Efficient Finetuning of Quantized LLMs

Qwen-VL: A Versatile Vision-Language Model for Understanding,
  Localization, Text Reading, and Beyond

MMMU: A Massive Multi-discipline Multimodal Understanding and Reasoning
  Benchmark for Expert AGI

Reformulating Domain Adaptation of Large Language Models as
  Adapt-Retrieve-Revise

Safety of Multimodal Large Language Models on Images and Text

An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models


Matlab/Octave based platform for Radiological Research.

Reliability and prognostic value of radiomic features are highly dependent on choice of feature extraction platform

Preoperative MRI-radiomics features improve prediction of survival in glioblastoma patients over MGMT methylation status alone

A novel kernel Wasserstein distance on Gaussian measures: An application of identifying dental artifacts in head and neck computed tomography

Integrated Multi-Tumor Radio-Genomic Marker of Outcomes in Patients with High Serous Ovarian Carcinoma

Differentiating High-Grade Gliomas from Brain Metastases at Magnetic Resonance: The Role of Texture Analysis of the Peritumoral Zone

Library of deep-learning image segmentation and outcomes model-implementations.

Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)

Breast Lesion Classification with Multiparametric Breast MRI Using Radiomics and Machine Learning: A Comparison with Radiologists’ Performance

Prospectively-validated deep learning model for segmenting swallowing and chewing structures in CT

Deep learning-based auto-segmentation of swallowing and chewing structures in CT

Conditional Gradient Methods for Convex Optimization with General Affine and Nonlinear Constraints


R package: Methods that Apply to Rows and Columns of Matrices (and to Vectors)

CopywriteR: DNA copy number detection from off-target sequence data

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

Single Cell Imaging of Nuclear Architecture Changes

Frontiers in cell and developmental biology

Inter- and Intra-Scanner Variability of Automated Brain Volumetry on Three Magnetic Resonance Imaging Systems in Alzheimer’s Disease and Controls

Defining the Influence of the A12.2 Subunit on Transcription Elongation and Termination by RNA Polymerase I In Vivo


Weight Agnostic Neural Networks

Neuroevolution of Self-Interpretable Agents

Genetic and Evolutionary Computation Conference

The Sensory Neuron as a Transformer: Permutation-Invariant Neural Networks for Reinforcement Learning

Modern Evolution Strategies for Creativity: Fitting Concrete Images and Abstract Concepts

Learning to Predict Without Looking Ahead: World Models Without Forward Prediction

Neural Bridge Sampling for Evaluating Safety-Critical Autonomous Systems


A high-performance distributed deep learning system targeting large-scale and automated distributed training.

PointCLIP: Point Cloud Understanding by CLIP

HET: Scaling out Huge Embedding Model Training via Cache-enabled Distributed Framework

Galvatron: Efficient Transformer Training over Multiple GPUs Using Automatic Parallelism

HetuMoE: An Efficient Trillion-scale Mixture-of-Expert Distributed
  Training System

Accelerating Text-to-Image Editing via Cache-Enabled Sparse Diffusion
  Inference

Improving Automatic Parallel Training via Balanced Memory Workload
  Optimization


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

FlexMatch: Boosting Semi-Supervised Learning with Curriculum Pseudo Labeling

FreeMatch: Self-adaptive Thresholding for Semi-supervised Learning

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

Masked Autoencoders are Robust Data Augmentors

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

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

Boosting Semi-Supervised Learning with Contrastive Complementary Labeling

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


A detailed transport sector model.


DDFacet Imaging Project

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

Primary beam effects of radio astronomy antennas - II. Modelling MeerKAT L-band beams

Monthly Notices of the Royal Astronomical Society

LOFAR observations of the XMM-LSS field

The twisted jets of Circinus X-1

Monthly notices of the Royal Astronomical Society

MERGHERS pilot: MeerKAT discovery of diffuse emission in nine massive Sunyaev-Zel'dovich-selected galaxy clusters from ACT

The LOFAR LBA Sky Survey: Deep Fields I. The Boötes Field

LOFAR Deep Fields: probing a broader population of polarized radio galaxies in ELAIS-N1

Mining mini-halos with MeerKAT I. Calibration and imaging

A Multiwavelength Dynamical State Analysis of ACT-CL J0019.6+0336


Energy Rating Index (ERI) calculation via OpenStudio/EnergyPlus.


RaMP: A Comprehensive Relational Database of Metabolomics Pathways for Pathway Enrichment Analysis of Genes and Metabolites

Integration of Metabolomics and Transcriptomics to Identify Gene-Metabolite Relationships Specific to Phenotype.

Survey for Computer-Aided Tools and Databases in Metabolomics


A docker image for converting docker images to singularity images.

Patterns in medication incidents: A 10-yr experience of a cross-national anaesthesia incident reporting system


Computer generated building footprints for the United States

EarthNets: Empowering AI in Earth Observation

Deep Learning-Based Generation of Building Stock Data from Remote Sensing for Urban Heat Demand Modeling

ISPRS international journal of geo-information

Understanding the mesoscopic scaling patterns within cities

Automatic Building Outline Extraction from ALS Point Clouds by Ordered Points Aided Hough Transform

Assessing Property Level Economic Impacts of Climate in the US, New Insights and Evidence from a Comprehensive Flood Risk Assessment Tool

Fine-grained, spatiotemporal datasets measuring 200 years of land development in the United States

Tools for mapping multi-scale settlement patterns of building footprints: An introduction to the R package foot

Open Data and Deep Semantic Segmentation for Automated Extraction of Building Footprints

Simulating historical flood events at the continental scale: observational validation of a large-scale hydrodynamic model

Natural hazards and earth system sciences

Road Network Evolution in the Urban and Rural United States Since 1900


Building Machine Translation Systems for the Next Thousand Languages

Finite-state script normalization and processing utilities: The Nisaba Brahmic library

EACL 2021: THE 16TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: PROCEEDINGS OF THE SYSTEM DEMONSTRATIONS

Extensions to Brahmic script processing within the Nisaba library: new scripts, languages and utilities

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Graphemic Normalization of the Perso-Arabic Script

Beyond Arabic: Software for Perso-Arabic Script Manipulation

Criteria for Useful Automatic Romanization in South Asian Languages


Quantitative Sustainable Design (QSD) of sanitation and resource recovery systems.

BioSTEAM: A Fast and Flexible Platform for the Design, Simulation, and Techno-Economic Analysis of Biorefineries under Uncertainty

QSDsan: an integrated platform for quantitative sustainable design of sanitation and resource recovery systems

Environmental science. Water research & technology

DMsan: A Multi-Criteria Decision Analysis Framework and Package to Characterize Contextualized Sustainability of Sanitation and Resource Recovery Technologies


Riemannian Adaptive Optimization Methods with pytorch optim

Mixed-curvature Variational Autoencoders

Geoopt: Riemannian Optimization in PyTorch

Graph Geometry Interaction Learning

Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach

Pseudo-Riemannian Graph Convolutional Networks

Hybridizing Euclidean and Hyperbolic Similarities for Attentively Refining Representations in Semantic Segmentation of Remote Sensing Images

IEEE geoscience and remote sensing letters

FisheyeHDK: Hyperbolic Deformable Kernel Learning for Ultra-Wide Field-of-View Image Recognition

Time Series Alignment with Global Invariances

ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results


Multi-species size-based ecological modelling in R

mizer: an R package for multispecies, trait-based and community size spectrum ecological modelling


Repository of OHDSI Collaborative Research Protocols

Comparative effectiveness of canagliflozin, SGLT2 inhibitors and non-SGLT2 inhibitors on the risk of hospitalization for heart failure and amputation in patients with type 2 diabetes mellitus: A real-world meta-analysis of 4 observational databases (OBSERVE-4D)

Improving reproducibility by using high-throughput observational studies with empirical calibration

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

Diabetic ketoacidosis in patients with type 2 diabetes treated with sodium glucose co‐transporter 2 inhibitors versus other antihyperglycemic agents: An observational study of four US administrative claims databases

Development and validation of a prognostic model predicting symptomatic hemorrhagic transformation in acute ischemic stroke at scale in the OHDSI network

Opioid use, postoperative complications, and implant survival after unicompartmental versus total knee replacement: a population-based network study

Characterization of Anti-seizure Medication Treatment Pathways in Pediatric Epilepsy Using the Electronic Health Record-Based Common Data Model

Wisdom of the CROUD: Development and validation of a patient-level prediction model for opioid use disorder using population-level claims data

A systematic approach to improving the reliability and scale of evidence from health care data


Grizli:  The "Grism redshift and line" analysis software

The Emergence of a Lanthanide-rich Kilonova Following the Merger of Two Neutron Stars

The evolution of the galaxy UV luminosity function at redshifts z ~ 8-15
  from deep JWST and ground-based near-infrared imaging

Two Remarkably Luminous Galaxy Candidates at z≈10-12 Revealed by
  JWST

A population of red candidate massive galaxies ~600 Myr after the Big
  Bang

COSMOS-DASH: The Evolution of the Galaxy Size─Mass Relation since z ∼ 3 from New Wide-field WFC3 Imaging Combined with CANDELS/3D-HST

The GLASS-JWST Early Release Science Program. I. Survey Design and Release Plans

Revealing Galaxy Candidates out to z ∼ 16 with JWST Observations of
  the Lensing Cluster SMACS0723

The ALPINE-ALMA [C ii] Survey: Multiwavelength Ancillary Data and Basic Physical Measurements

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

First look with JWST spectroscopy: z ∼ 8 galaxies resemble local
  analogues

CEERS Epoch 1 NIRCam Imaging: Reduction Methods and Simulations Enabling Early JWST Science Results


Cytometry dATa anALYsis Tools

Rapid and stable mobilization of CD8+ T cells by SARS-CoV-2 mRNA vaccine

Neurocognitive and hypokinetic movement disorder with features of parkinsonism after BCMA-targeting CAR-T cell therapy

Zenodo (CERN European Organization for Nuclear Research)

Impaired function and delayed regeneration of dendritic cells in COVID-19

Removing unwanted variation with CytofRUV to integrate multiple CyTOF datasets

Longitudinal liver sampling in patients with chronic hepatitis B starting antiviral therapy reveals hepatotoxic CD8+ T cells

The Journal of clinical investigation/The journal of clinical investigation

Developing human fetal skin demonstrates a unique lymphocyte signature

Characterization of the Impact of Daclizumab Beta on Circulating Natural Killer Cells by Mass Cytometry

High-dimensional profiling reveals Tc17 cell enrichment in active Crohn’s disease and identifies a potentially targetable signature

Multiplex imaging of breast cancer lymph node metastases identifies prognostic single-cell populations independent of clinical classifiers

Natural Killer Cell Receptors and Ligands Are Associated With Markers of HIV-1 Persistence in Chronically Infected ART Suppressed Patients

Frontiers in cellular and infection microbiology


MTCNN face detection implementation for TensorFlow, as a PIP package.

TRECVID 2020: A comprehensive campaign for evaluating video retrieval tasks across multiple application domains

The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional
  Reactions, and Stress

Zooming Into Video Conferencing Privacy

Deep Insights of Deepfake Technology : A Review

The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation

Incremental cluster validity index-guided online learning for
  performance and robustness to presentation order

Comparative Analysis of Supervised and Unsupervised Approaches Applied to Large-Scale “In The Wild” Face Verification

On indirect assessment of heart rate in video


Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large
  Language Models

MiniGPT-v2: large language model as a unified interface for
  vision-language multi-task learning

Visual Adversarial Examples Jailbreak Aligned Large Language Models

Sparkles: Unlocking Chats Across Multiple Images for Multimodal
  Instruction-Following Models

X-IQE: eXplainable Image Quality Evaluation for Text-to-Image Generation
  with Visual Large Language Models

Safety Fine-Tuning at (Almost) No Cost: A Baseline for Vision Large
  Language Models

Understanding LLMs: A Comprehensive Overview from Training to Inference

Safety of Multimodal Large Language Models on Images and Text

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


Depth-weighted De-Mixing

Wastewater sequencing reveals early cryptic SARS-CoV-2 variant transmission

medRxiv : the preprint server for health sciences

Genomic and transcriptomic characterization of delta SARS-CoV-2 infection in free-ranging white-tailed deer (Odocoileus virginianus)

Interim Estimates of 2022–23 Seasonal Influenza Vaccine Effectiveness — Wisconsin, October 2022–February 2023

Delta-Omicron recombinant escapes therapeutic antibody neutralization

Multimodal surveillance of SARS-CoV-2 at a university enables development of a robust outbreak response framework

SARS-CoV-2 infection dynamics and genomic surveillance to detect variants in wastewater – a longitudinal study in Bengaluru, India

The Lancet regional health. Southeast Asia

Significance of Wastewater Surveillance in Detecting the Prevalence of SARS-CoV-2 Variants and Other Respiratory Viruses in the Community – A Multi-Site Evaluation

Temporal dynamics of SARS-CoV-2 genome and detection of variants of concern in wastewater influent from two metropolitan areas in Arkansas

SARS-CoV-2 genomic surveillance in wastewater as a model for monitoring evolution of endemic viruses

Optimised protocol for monitoring SARS-CoV-2 in wastewater using reverse complement PCR-based whole-genome sequencing


A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.

Neural Collaborative Filtering

Deep Neural Networks for YouTube Recommendations

PROCEEDINGS OF THE 10TH ACM CONFERENCE ON RECOMMENDER SYSTEMS (RECSYS'16)

Multi-Interest Network with Dynamic Routing for Recommendation at Tmall

Controllable Multi-Interest Framework for Recommendation

SDM: Sequential Deep Matching Model for Online Large-scale Recommender System

GPT4Rec: A Generative Framework for Personalized Recommendation and User
  Interests Interpretation

DeepRec: An Open-source Toolkit for Deep Learning based Recommendation


Fast and accurate DRAM power and energy estimation tool

D-RaNGe: Using Commodity DRAM Devices to Generate True Random Numbers with Low Latency and High Throughput

Euphrates: Algorithm-SoC Co-Design for Low-Power Mobile Continuous Vision

NoM: Network-on-Memory for Inter-Bank Data Transfer in Highly-Banked Memories

EXMA: A Genomics Accelerator for Exact-Matching

Enabling Effective Error Mitigation in Memory Chips That Use On-Die
  Error-Correcting Codes

Self-Managing DRAM: A Low-Cost Framework for Enabling Autonomous and
  Efficient in-DRAM Operations

Improving DRAM Performance, Reliability, and Security by Rigorously
  Understanding Intrinsic DRAM Operation


ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

Multi-Granularity Hierarchical Attention Fusion Networks for Reading Comprehension and Question Answering

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1

Parameter-Efficient Sparsity for Large Language Models Fine-Tuning

Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning

mPLUG: Effective and Efficient Vision-Language Learning by Cross-modal Skip-connections

StructuralLM: Structural Pre-training for Form Understanding

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image
  and Video

PALM: Pre-training an Autoencoding&Autoregressive Language Model for Context-conditioned Generation

VECO: Variable and Flexible Cross-lingual Pre-training for Language Understanding and Generation

MuCGEC: a Multi-Reference Multi-Source Evaluation Dataset for Chinese Grammatical Error Correction

Lattice-BERT: Leveraging Multi-Granularity Representations in Chinese Pre-trained Language Models


Super-scale your images and run experiments with Residual Dense and Adversarial Networks.

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

Residual Dense Network for Image Super-Resolution

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks

Chameleons on Cloudlets: Elastic Edge Computing Through Microservice Variants


Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks

Robust Anomaly Detection for Multivariate Time Series through Stochastic Recurrent Neural Network

Unsupervised Anomaly Detection via Variational Auto-Encoder for Seasonal KPIs in Web Applications

WEB CONFERENCE 2018: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW2018)

Revisiting Spatial-Temporal Similarity: A Deep Learning Framework for Traffic Prediction

A Transformer-based Framework for Multivariate Time Series Representation Learning

DeepMove: Predicting Human Mobility with Attentional Recurrent Networks

USAD: UnSupervised Anomaly Detection on Multivariate Time Series

Urban Traffic Prediction from Spatio-Temporal Data Using Deep Meta Learning


A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)

Deep learning improves prediction of drug–drug and drug–food interactions

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

DeepSynergy: predicting anti-cancer drug synergy with Deep Learning

SSI-DDI: substructure-substructure interactions for drug-drug interaction prediction

CASTER: Predicting Drug Interactions with Chemical Substructure Representation

DeepDDS: deep graph neural network with attention mechanism to predict synergistic drug combinations

MR-GNN: Multi-Resolution and Dual Graph Neural Network for Predicting Structured Entity Interactions

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

MatchMaker: A Deep Learning Framework for Drug Synergy Prediction

Drug-Drug Adverse Effect Prediction with Graph Co-Attention

DeepCCI: End-to-end Deep Learning for Chemical-Chemical Interaction Prediction

GCN-BMP: Investigating graph representation learning for DDI prediction task


Text-to-Speech Toolkit of the Speech and Language Technologies Group at the University of Stuttgart. Objectives of the development are simplicity, modularity, controllability and multilinguality.

Language-Agnostic Meta-Learning for Low-Resource Text-to-Speech with Articulatory Features

Low-Resource Multilingual and Zero-Shot Multispeaker TTS

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

The IMS Toucan System for the Blizzard Challenge 2023

»textklang« – Towards a Multi-Modal Exploration Platform for German Poetry


ThreeDWorld simulation environment

ThreeDWorld: A Platform for Interactive Multi-Modal Physical Simulation

Physion: Evaluating Physical Prediction from Vision in Humans and Machines

SimVQA: Exploring Simulated Environments for Visual Question Answering

Physion++: Evaluating Physical Scene Understanding that Requires Online
  Inference of Different Physical Properties


PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.

A Review of Cooperative Multi-Agent Deep Reinforcement Learning

Learning and Planning in Average-Reward Markov Decision Processes

Deep Reinforcement Learning using Capsules in Advanced Game Environments

Efficient Reinforcement Learning from Demonstration via Bayesian Network-Based Knowledge Extraction

Computational intelligence and neuroscience

Object-Oriented Dynamics Learning through Multi-Level Abstraction

Scale-invariant temporal history (SITH): optimal slicing of the past in an uncertain world

Stabilizing Q Learning Via Soft Mellowmax Operator

Decomposing the Prediction Problem; Autonomous Navigation by neoRL Agents

EVOTER: Evolution of Transparent Explainable Rule-sets


Plot structural variant signals from many BAMs and CRAMs

Samplot: a platform for structural variant visual validation and automated filtering

A Comprehensive Map of Mycobacterium tuberculosis Complex Regions of Difference

Drainage-structuring of ancestral variation and a common functional pathway shape limited genomic convergence in natural high- and low-predation guppies

Analysis of structural variation among inbred mouse strains

Lager Yeast Design Through Meiotic Segregation of a Saccharomyces cerevisiae × Saccharomyces eubayanus Hybrid

Visualization tools for human structural variations identified by whole-genome sequencing

Chromosome-level genome assembly and structural variant analysis of two laboratory yeast strains from the Peterhof Genetic Collection lineage

duphold: scalalable, depth-based annotation and curation of high-confidence structural variant calls


Models for the spaCy Natural Language Processing (NLP) library

An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction

MIMIC-IT: Multi-Modal In-Context Instruction Tuning

The ParlaMint corpora of parliamentary proceedings

AttacKG: Constructing Technique Knowledge Graph from Cyber Threat
  Intelligence Reports

Auto-FuzzyJoin: Auto-Program Fuzzy Similarity Joins Without Labeled Examples

Learning Diachronic Analogies to Analyze Concept Change

SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities

Understanding NFT Price Moves through Tweets Keywords Analysis

Local Homology of Word Embeddings

Neural Machine Translation with Dynamic Graph Convolutional Decoder

Compositionality as Lexical Symmetry