Official implementation of PVT series

Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

PVT v2: Improved baselines with Pyramid Vision Transformer

Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision Transformers

Rethinking Range View Representation for LiDAR Segmentation

Mesa: A Memory-saving Training Framework for Transformers

What Makes for Good Tokenizers in Vision Transformer?

SBCFormer: Lightweight Network Capable of Full-size ImageNet Classification at 1 FPS on Single Board Computers

NOAH: Learning Pairwise Object Category Attentions for Image
  Classification

Spatial Entropy as an Inductive Bias for Vision Transformers


Port of Google's language-detection library to Python.

Reformulating Unsupervised Style Transfer as Paraphrase Generation

Mapping Languages: The Corpus of Global Language Use

Language Tags Matter for Zero-Shot Neural Machine Translation

Abusive content detection in transliterated Bengali-English social media corpus

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

CODA-19: Using a Non-Expert Crowd to Annotate Research Aspects on 10,000+ Abstracts in the COVID-19 Open Research Dataset

Cross-lingual sentiment classification in low-resource Bengali language

Empirical Methods in Natural Language Processing

A Large Parallel Corpus of Full-Text Scientific Articles

Exploring Media Bias and Toxicity in South Asian Political Discourse

Detecting Phishing Sites Using ChatGPT

DataComp-LM: In search of the next generation of training sets for
  language models


Differential expression analysis for single-cell RNA-seq data.

Emerging Roles of Airway Epithelial Cells in Idiopathic Pulmonary Fibrosis

Lineage commitment of dermal fibroblast progenitors is controlled by Kdm6b‐mediated chromatin demethylation

Lineage Commitment of Dermal Fibroblast Progenitors is Mediated by Chromatin De-Repression

bioRxiv : the preprint server for biology

Single cell RNA sequencing reveals distinct clusters of Irf8-expressing pulmonary conventional dendritic cells

Immunogenomic profile at baseline predicts host susceptibility to clinical malaria


PyTorch - FID calculation with proper image resizing and quantization steps [CVPR 2022]

On Aliased Resizing and Surprising Subtleties in GAN Evaluation

Pros and Cons of GAN Evaluation Measures: New Developments

Erasing Concepts from Diffusion Models

Generative Novel View Synthesis with 3D-Aware Diffusion Models

ATISS: Autoregressive Transformers for Indoor Scene Synthesis

I^2SB: Image-to-Image Schrödinger Bridge

Consistent View Synthesis with Pose-Guided Diffusion Models

Soft Truncation: A Universal Training Technique of Score-based Diffusion Model for High Precision Score Estimation

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

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


[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark

WRENCH: A Comprehensive Benchmark for Weak Supervision

Learning Hyper Label Model for Programmatic Weak Supervision

Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision

Understanding Programmatic Weak Supervision via Source-aware Influence Function

Ground Truth Inference for Weakly Supervised Entity Matching

Meta Self-Refinement for Robust Learning with Weak Supervision

How Many Validation Labels Do You Need? Exploring the Design Space of Label-Efficient Model Ranking

Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification

Binary Classification with Positive Labeling Sources


tiny vision language model

Efficient Multimodal Large Language Models: A Survey

Conditional Fairness for Generative AIs

Losing Visual Needles in Image Haystacks: Vision Language Models are
  Easily Distracted in Short and Long Contexts


A standalone Java Decompiler GUI

R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections

Providing Real-time Assistance for Repairing Runtime Exceptions using Stack Overflow Posts

So {U} R CERER: Developer-Driven Security Testing Framework for Android Apps

FirmwareDroid: Security Analysis of the Android Firmware EcoSystem


Datasets derived from US census data

Datasheets for Datasets

Retiring Adult: New Datasets for Fair Machine Learning

A survey on datasets for fairness-aware machine learning

Post-Hoc Explanations Fail to Achieve their Purpose in Adversarial Contexts

Conference on Fairness, Accountability and Transparency

Picking on the Same Person: Does Algorithmic Monoculture lead to Outcome Homogenization?

Fairness Transferability Subject to Bounded Distribution Shift

Transferring Fairness under Distribution Shifts via Fair Consistency Regularization

Advancing Differential Privacy: Where We Are Now and Future Directions for Real-World Deployment

From Shapley Values to Generalized Additive Models and back

Fair Infinitesimal Jackknife: Mitigating the Influence of Biased Training Data Points Without Refitting


A CV toolkit for my papers.

ResNeSt: Split-Attention Networks

Context Encoding for Semantic Segmentation

Co-Occurrent Features in Semantic Segmentation

Deep TEN: Texture Encoding Network

Region Mutual Information Loss for Semantic Segmentation

Linear Semantics in Generative Adversarial Networks

Extracting Semantic Knowledge from GANs with Unsupervised Learning

Adaptive Context Encoding Module for Semantic Segmentation

Refining Semantic Segmentation with Superpixel by Transparent Initialization and Sparse Encoder

SSSegmenation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch


Seawater carbonate chemistry with R


Energy performance and Carbon emissions Assessment and Monitoring tool (Lluís Bosch, Lluís Corominas, IWA, Wacclim project, GIZ)


A bayesian pipeline for detecting stochastic backgrounds with LISA.

Cosmology with the Laser Interferometer Space Antenna

Mapping the gravitational-wave sky with LISA: a Bayesian spherical harmonic approach

Monthly notices of the Royal Astronomical Society

LISA Detectability of a Stochastic Gravitational Wave Background from Unresolved White Dwarf Binaries in the LMC


Implementation of EfficientNet model. Keras and TensorFlow Keras.

Deep Residual Learning for Image Recognition

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

Optimized Deep Encoder-Decoder Methods for Crack Segmentation

Deep Learning for Classification of Bone Lesions on Routine MRI

Practical galaxy morphology tools from deep supervised representation learning

An ensemble-based approach for automated medical diagnosis of malaria using EfficientNet

Automated Cleanup of the ImageNet Dataset by Model Consensus, Explainability and Confident Learning

Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark

Near Real-time Map Building with Multi-class Image Set Labeling and Classification of Road Conditions Using Convolutional Neural Networks


Repository for mini-projects in the Data science for Sustainable development project


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

U-Net: Convolutional Networks for Biomedical Image Segmentation

HoVer-Net: Simultaneous Segmentation and Classification of Nuclei in Multi-Tissue Histology Images

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

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

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

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

MRL: Learning to Mix with Attention and Convolutions


Ground heat transfer calculation tool


A garden for scikit-learn compatible trees

Forecasting Intra-Hour Imbalances in Electric Power Systems

AMF: Aggregated Mondrian Forests for Online Learning

Deep neural networks for the quantile estimation of regional renewable energy production

Uncertainty quantification for data-driven turbulence modelling with Mondrian forests

Stream Learning in Energy IoT Systems: A Case Study in Combined Cycle Power Plants


GNU Radio blocks for receiving LoRa modulated radio messages using SDR

Attack-Aware Synchronization-Free Data Timestamping in LoRaWAN

LoRaWAN Physical Layer-Based Attacks and Countermeasures, A Review

Testbed for LoRaWAN Security: Design and Validation through Man-in-the-Middle Attacks Study

Attack-Aware Data Timestamping in Low-Power Synchronization-Free LoRaWAN

Transparent and Tamper-Proof Event Ordering in the Internet of Things Platforms

Development and Testing of a Real-Time LoRawan Sniffer Based on GNU-Radio


A fast, two-steps algorithm for the automated discovery and management of declarative business process constraints

Resolving inconsistencies and redundancies in declarative process models

Comprehensive Process Drift Detection with Visual Analytics

QRFA: A Data-Driven Model of Information-Seeking Dialogues

Visual Drift Detection for Event Sequence Data of Business Processes

IEEE transactions on visualization and computer graphics

Knowledge-based Conversational Search


Java API for Natural Language Generation. Originally developed by Ehud Reiter at the University of Aberdeen’s Department of Computing Science and co-founder of Arria NLG. This git repo is the official SimpleNLG version.

Designing Effective Interview Chatbots: Automatic Chatbot Profiling and Design Suggestion Generation for Chatbot Debugging

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Lexical Simplification Benchmarks for English, Portuguese, and Spanish

Question Generation for Language Learning: From ensuring texts are read to supporting learning

Workshop on Innovative Use of NLP for Building Educational Applications

Data Curation APIs

Most NLG is Low-Resource: here’s what we can do about it

Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)

An Approach to Inference-Driven Dialogue Management within a Social Chatbot

Algorithmic Copywriting: Automated Generation of Health-Related Advertisements to Improve their Performance

The jsRealB Text Realizer: Organization and Use Cases -- Revised version


Real-time 3D localization using a (velodyne) 3D LIDAR

PALoc: Advancing SLAM Benchmarking with Prior-Assisted 6-DoF Trajectory
  Generation and Uncertainty Estimation

Efficient Solution to 3D-LiDAR-based Monte Carlo Localization with Fusion of Measurement Model Optimization via Importance Sampling


Implementation of Ogata's (2005) method for Hankel transforms.

What is the Price of Abandoning Dark Matter? Cosmological Constraints on Alternative Gravity Theories

TheHaloMod: An online calculator for the halo model

hankel: A Python library for performing simple and accurate Hankel transformations

Probing delayed-end reionization histories with the 21-cm LAE cross-power spectrum

Monthly Notices of the Royal Astronomical Society

Cosmic flexion


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

Reward Constrained Policy Optimization

Sample-Efficient Reinforcement Learning with Stochastic Ensemble Value Expansion

Learning symmetric and low-energy locomotion

GPU-Accelerated Robotic Simulation for Distributed Reinforcement Learning

Non-smooth Newton Methods for Deformable Multi-body Dynamics

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

Regularization Matters in Policy Optimization

Importance Sampling Policy Evaluation with an Estimated Behavior Policy

Balancing Two-Player Stochastic Games with Soft Q-Learning

Structured Control Nets for Deep Reinforcement Learning


Deprecated - Low Orbit Ion Cannon - An open source network stress tool, written in C#. Based on Praetox's LOIC project. USE ON YOUR OWN RISK. WITHOUT ANY EXPRESS OR IMPLIED WARRANTIES. IF YOU GET V& IT IS YOUR FAULT.

Detection and Classification of DDoS Flooding Attacks on Software-Defined Networks: A Case Study for the Application of Machine Learning

Toward Improving the Security of IoT and CPS Devices: An AI Approach

Reinforced Transformer Learning for VSI-DDoS Detection in Edge Clouds

Unsupervised detection of security threats in cyberphysical system and IoT devices based on power fingerprints and RBM autoencoders

Journal of Surveillance, Security and Safety

Launching Stealth Attacks using Cloud


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

A Survey of Deep Learning for Scientific Discovery

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

A simple squared-error reformulation for ordinal classification

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


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

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

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

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

The Mantis Network IV: A titanium cold-trap on the ultra-hot Jupiter WASP-121 b

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

Reconnaissance with JWST of the J-region Asymptotic Giant Branch in Distance Ladder Galaxies: From Irregular Luminosity Functions to Approximation of the Hubble Constant

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


A tool for exploring large trees in the browser

CoV-Spectrum: Analysis of globally shared SARS-CoV-2 data to Identify and Characterize New Variants

Taxonium, a web-based tool for exploring large phylogenetic trees

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

Tracking and curating putative SARS-CoV-2 recombinants with RIVET

Treenome Browser: co-visualization of enormous phylogenies and millions of genomes


Strelka2 germline and somatic small variant caller

Strelka2: fast and accurate calling of germline and somatic variants

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

Curated variation benchmarks for challenging medically relevant autosomal genes

Review: Precision medicine and driver mutations: Computational methods, functional assays and conformational principles for interpreting cancer drivers

Whole genome sequencing of skull-base chordoma reveals genomic alterations associated with recurrence and chordoma-specific survival

The clonal evolution of metastatic colorectal cancer

Thousands of novel unannotated proteins expand the MHC I immunopeptidome in cancer

Low-burden TP53 mutations in CLL: clinical impact and clonal evolution within the context of different treatment options

Strelka2: Fast and accurate variant calling for clinical sequencing applications

Hepatobiliary Tumor Organoids Reveal HLA Class I Neoantigen Landscape and Antitumoral Activity of Neoantigen Peptide Enhanced with Immune Checkpoint Inhibitors


Higgs JavaScript Virtual Machine

Simple and Effective Type Check Removal through Lazy Basic Block Versioning

Extending Basic Block Versioning with Typed Object Shapes

Amalgamating different JIT compilations in a meta-tracing JIT compiler framework


annotate a VCF with other VCFs/BEDs/tabixed files

Vcfanno: fast, flexible annotation of genetic variants

Clinical relevance of molecular characteristics in Burkitt lymphoma differs according to age

Resources for Interpreting Variants in Precision Genomic Oncology Applications

Scalable approaches for functional analyses of whole-genome sequencing non-coding variants

Innovative strategies for annotating the “relationSNP” between variants and molecular phenotypes

Skim-Sequencing Based Genotyping Reveals Genetic Divergence of the Wild and Domesticated Population of Black Tiger Shrimp (Penaeus monodon) in the Indo-Pacific Region

TiSAn: estimating tissue-specific effects of coding and non-coding variants


A Comprehensive Reinforcement Learning Zoo for Simple Usage

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Asynchronous Methods for Deep Reinforcement Learning

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Trust Region Policy Optimization

Addressing Function Approximation Error in Actor-Critic Methods

Dueling Network Architectures for Deep Reinforcement Learning

Prioritized Experience Replay

Emergence of Locomotion Behaviours in Rich Environments

Efficient Reinforcement Learning Development with RLzoo


Penglai Enclave is an open-sourced, secure and scalable TEE system for RISC-V.

Scalable Memory Protection in the PENGLAI Enclave

USENIX Symposium on Operating Systems Design and Implementation

SoK: A Systematic Review of TEE Usage for Developing Trusted Applications

Proceedings of the 18th International Conference on Availability, Reliability and Security


Python-based framework for building and evaluating session-based and session-aware recommender systems.

A Survey on Session-based Recommender Systems

Evaluation of session-based recommendation algorithms

User modeling and user-adapted interaction

Empirical analysis of session-based recommendation algorithms

Session-aware recommendation: A surprising quest for the state-of-the-art

M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations

Proceedings of the 16th ACM Conference on Recommender Systems

An efficient manifold density estimator for all recommendation systems

Session-aware Linear Item-Item Models for Session-based Recommendation

S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks

Performance Comparison of Session-based Recommendation Algorithms based on GNNs

Hierarchical Multi-Task Learning Framework for Session-based Recommendations


A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data

Combining satellite data and appropriate objective functions for improved spatial pattern performance of a distributed hydrologic model

Feasibility of Using the Two-Source Energy Balance Model (TSEB) with Sentinel-2 and Sentinel-3 Images to Analyze the Spatio-Temporal Variability of Vine Water Status in a Vineyard

Estimation of evapotranspiration of temperate grassland based on high-resolution thermal and visible range imagery from unmanned aerial systems

Spatial pattern evaluation of a calibrated national hydrological model – a remote-sensing-based diagnostic approach

Seasonal Adaptation of the Thermal-Based Two-Source Energy Balance Model for Estimating Evapotranspiration in a Semiarid Tree-Grass Ecosystem

Influence of Model Grid Size on the Estimation of Surface Fluxes Using the Two Source Energy Balance Model and sUAS Imagery in Vineyards

Spatial Patterns in Actual Evapotranspiration Climatologies for Europe

Performance of the Two-Source Energy Balance (TSEB) Model as a Tool for Monitoring the Response of Durum Wheat to Drought by High-Throughput Field Phenotyping

Spatial Pattern Oriented Multicriteria Sensitivity Analysis of a Distributed Hydrologic Model

High Spatial and Temporal Resolution Energy Flux Mapping of Different Land Covers Using an Off-the-Shelf Unmanned Aerial System


Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

AutoAugment: Learning Augmentation Policies from Data

Chinese CLIP: Contrastive Vision-Language Pretraining in Chinese

GlyphDraw: Seamlessly Rendering Text with Intricate Spatial Structures in Text-to-Image Generation

MCFEND: A Multi-source Benchmark Dataset for Chinese Fake News Detection

PEA-Diffusion: Parameter-Efficient Adapter with Knowledge Distillation in non-English Text-to-Image Generation


Wasserstein GAN

Variational Approaches for Auto-Encoding Generative Adversarial Networks

Evolving Mario Levels in the Latent Space of a Deep Convolutional Generative Adversarial Network

Many Paths to Equilibrium: GANs Do Not Need to Decrease a Divergence At Every Step

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

SynFi: Automatic Synthetic Fingerprint Generation

An Interactive Evolution Strategy based Deep Convolutional Generative Adversarial Network for 2D Video Game Level Procedural Content Generation

International Joint Conference on Neural Network

Ensembles of Generative Adversarial Networks for Disconnected Data


A tree-based federated learning system (MLSys 2023)

Towards Open Federated Learning Platforms: Survey and Vision from Technical and Legal Perspectives

UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks

A Federated Learning Benchmark on Tabular Data: Comparing Tree-Based Models and Neural Networks

International Conference on Fog and Mobile Edge Computing

Histogram-Based Federated XGBoost using Minimal Variance Sampling for Federated Tabular Data

A collaborative ensemble construction method for federated random forest


[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

Planning-oriented Autonomous Driving

Generalized Predictive Model for Autonomous Driving

Vista: A Generalizable Driving World Model with High Fidelity and
  Versatile Controllability

Dualad: Disentangling the Dynamic and Static World for End-to-End Driving


CLI tool for flexible and fast adaptive sampling on ONT sequencers

Readfish enables targeted nanopore sequencing of gigabase-sized genomes

Metagenomic Sequencing for Microbial DNA in Human Samples: Emerging Technological Advances

International journal of molecular sciences

ReadBouncer: precise and scalable adaptive sampling for nanopore sequencing

Portable nanopore-sequencing technology: Trends in development and applications

Barcode aware adaptive sampling for GridION and PromethION Oxford Nanopore sequencers


GPU code for spike sorting

Kilosort: realtime spike-sorting for extracellular electrophysiology with hundreds of channels

Fast and accurate spike sorting of high-channel count probes with KiloSort

Cerebellar Contribution to Preparatory Activity in Motor Neocortex

Feedback generates a second receptive field in neurons of the visual cortex

Sensory coding and the causal impact of mouse cortex in a visual decision

Cerebellar involvement in an evidence-accumulation decision-making task

Cross-hemispheric gamma synchrony between prefrontal parvalbumin interneurons supports behavioral adaptation during rule shift learning

Entorhinal-retrosplenial circuits for allocentric-egocentric transformation of boundary coding

Distinct Structure of Cortical Population Activity on Fast and Infraslow Timescales

Neural circuits underlying auditory contrast gain control and their perceptual implications


Repository for research in the field of Responsible NLP at Meta.

"I'm sorry to hear that": Finding New Biases in Language Models with a Holistic Descriptor Dataset

Fairness Testing: A Comprehensive Survey and Analysis of Trends

Perturbation Augmentation for Fairer NLP

Fairness-Aware Structured Pruning in Transformers

Tackling Bias in Pre-trained Language Models: Current Trends and Under-represented Societies

The Gender-GAP Pipeline: A Gender-Aware Polyglot Pipeline for Gender Characterisation in 55 Languages

Raising the Bar: Investigating the Values of Large Language Models via Generative Evolving Testing


An Open Source Spatio-Temporal Prediction Package

Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

Deep Spatio-Temporal Residual Networks for Citywide Crowd Flows Prediction

Exploring the Generalizability of Spatio-Temporal Traffic Prediction: Meta-Modeling and an Analytic Framework

IEEE Transactions on Knowledge and Data Engineering

UCTB: An Urban Computing Tool Box for Building Spatiotemporal Prediction Services


Another Gtf/Gff Analysis Toolkit

A chromosome-scale epigenetic map of the Hydra genome reveals conserved regulators of cell state.

A plant-like mechanism coupling m6A reading to polyadenylation safeguards transcriptome integrity and developmental gene partitioning in Toxoplasma

The Tetragnatha kauaiensis Genome Sheds Light on the Origins of Genomic Novelty in Spiders

Application of an optimized annotation pipeline to the Cryptococcus deuterogattii genome reveals dynamic primary metabolic gene clusters and genomic impact of RNAi loss

Chromosome-scale assembly of the wild wheat relative Aegilops umbellulata

Homozygosity at its Limit: Inbreeding Depression in Wild Arabidopsis arenosa Populations

Global Analysis of the Genetic Variations in miRNA-Targeted Sites and Their Correlations With Agronomic Traits in Rapeseed

Barcoded reciprocal hemizygosity analysis via sequencing illuminates the complex genetic basis of yeast thermotolerance

A first draft genome of holm oak (Quercus ilex subsp. ballota), the most representative species of the Mediterranean forest and the Spanish agrosylvopastoral ecosystem “dehesa”

A PacBio Hi-Fi genome assembly of the painter’s mussel Unio pictorum (Linnaeus, 1758)


An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.

Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach

On Efficient Reinforcement Learning for Full-length Game of StarCraft II

EnvGen: Generating and Adapting Environments via LLMs for Training
  Embodied Agents


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

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

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

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

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

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

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

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


[ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.

OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models

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

LQER: Low-Rank Quantization Error Reconstruction for LLMs

LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices


The PYthoN General UnIt Test geNerator is a test-generation tool for Python

Automated Unit Test Generation for Python

Symposium on Search Based Software Engineering

An empirical study of automated unit test generation for Python

An annotation-based approach for finding bugs in neural network programs


MrBayes is a program for Bayesian inference and model choice across a wide range of phylogenetic and evolutionary models. For documentation and downloading the program, please see the home page:

Using Parsimony-Guided Tree Proposals to Accelerate Convergence in Bayesian Phylogenetic Inference

GeoPhy: Differentiable Phylogenetic Inference via Geometric Gradients of Tree Topologies

Diversity of the MHC class II DRB gene in the wolverine (Carnivora: Mustelidae: Gulo gulo) in Finland

High-resolution and Deep Phylogenetic Reconstruction of Ancestral States from Large Transcriptomic Data Sets

Intraspecies variation in Tetrahymena rostrata

Characterization of Schistosome Sox Genes and Identification of a Flatworm Class of Sox Regulators


FIELDimageR: A R package to analyze orthomosaic images from agricultural field trials. This package is a compilation of functions to analyze pos-mosaicking images from research fields, and allows to: crop the image; remove soil effect; build vegetation indices; rotate the image; build the plot shapefile; extract information for each plot; and evaluate stand count, canopy percentage, and plant height.

FIELDimageR: An R package to analyze orthomosaic images from agricultural field trials


Open Source Flight Controller Firmware

Agilicious: Open-source and open-hardware agile quadrotor for vision-based flight

NeuroBEM: Hybrid Aerodynamic Quadrotor Model

Autonomous Drone Racing: A Survey

Neuroflight: Next Generation Flight Control Firmware

Deep Learning and Reinforcement Learning for Autonomous Unmanned Aerial Systems: Roadmap for Theory to Deployment

Flight Controller Synthesis Via Deep Reinforcement Learning

IMU2Face: Real-time Gesture-driven Facial Reenactment

Race Against the Machine: A Fully-Annotated, Open-Design Dataset of Autonomous and Piloted High-Speed Flight


Tools to Calculate Climate Targets for Financial Portfolios


Notebooks and documentation for AI-for-Earth-managed datasets on Azure


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

ezBIDS: Guided standardization of neuroimaging data interoperable with major data archives and platforms


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


Converting and demultiplexing of PacBio BAM files into gzipped fasta and fastq files.

Integrated Genomic Analysis Identifies UBTF Tandem Duplications as a Recurrent Lesion in Pediatric Acute Myeloid Leukemia

Sequencing of animal viruses: quality data assurance for NGS bioinformatics

The genome sequence of Hirschfeldia incana, a new Brassicaceae model to improve photosynthetic light‐use efficiency

The Plant journal : for cell and molecular biology

Genome-wide evaluation of the effect of short tandem repeat variation on local DNA methylation

Reference Genome Sequences of the Oriental Armyworm, Mythimna separata (Lepidoptera: Noctuidae)


An open-source tool to quantify Solar Photovoltaics (PV) Energy and Mass Flows in the Circular Economy, from a Reliability and Lifetime approach

Compendium of photovoltaic degradation rates

Progress in Photovoltaics: Research and Applications

PV field reliability status—Analysis of 100 000 solar systems

Benchmarking Utility-Scale PV Operational Expenses and Project Lifetimes: Results from a Survey of U.S. Solar Industry Professionals


potato: portable text annotation tool

POTATO: The Portable Text Annotation Tool

Modeling Information Change in Science Communication with Semantically Matched Paraphrases

MEDVOC: Vocabulary Adaptation for Fine-tuning Pre-trained Language Models on Medical Text Summarization

On the Challenges of Building Datasets for Hate Speech Detection


ytopt: machine-learning-based search methods for autotuning

ytopt: Autotuning Scientific Applications for Energy Efficiency at Large Scales

Performance Optimization using Multimodal Modeling and Heterogeneous GNN

Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization

Integrating ytopt and libEnsemble to Autotune OpenMC

Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization (extended version)

Transfer-Learning-Based Autotuning Using Gaussian Copula

Proceedings of the 37th International Conference on Supercomputing

An Autotuning-based Optimization Framework for Mixed-kernel SVM
  Classifications in Smart Pixel Datasets and Heterojunction Transistors


Modular image processing pipelines with Python. Built for Astronomy.

Two temperate super-Earths transiting a nearby late-type M dwarf

prose: A Python framework for modular astronomical images processing

HST/WFC3 transmission spectroscopy of the cold rocky planet TRAPPIST-1h

TOI-3235 b: A Transiting Giant Planet around an M4 Dwarf Star

Validation of 13 Hot and Potentially Terrestrial TESS Planets

SPECULOOS Northern Observatory: Searching for Red Worlds in the Northern Skies

A super-Earth and a mini-Neptune near the 2:1 MMR straddling the radius valley around the nearby mid-M dwarf TOI-2096

TESS discovery of a sub-Neptune orbiting a mid-M dwarf TOI-2136

Monthly notices of the Royal Astronomical Society

TOI-1442 b and TOI-2445 b: Two potentially rocky ultra-short period planets around M dwarfs

A 1.55 R⊕ habitable-zone planet hosted by TOI-715, an M4 star near the ecliptic South Pole


Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

LLaMA: Open and Efficient Foundation Language Models

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

WildTeaming at Scale: From In-the-Wild Jailbreaks to (Adversarially) Safer Language Models

Unpacking DPO and PPO: Disentangling Best Practices for Learning from Preference Feedback


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

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

International Journal of Artificial Intelligence in Education

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

LiFT: A Scalable Framework for Measuring Fairness in ML Applications

International Conference on Information and Knowledge Management

Awareness in practice

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

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

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


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


A framework for composing Neural Processes in Python

Neural Diffusion Processes

Autoregressive Conditional Neural Processes

Environmental sensor placement with convolutional Gaussian neural processes

Practical Equivariances via Relational Conditional Neural Processes

Sim2Real for Environmental Neural Processes


GREAT Analysis - Functional Enrichment on Genomic Regions

The mitochondrial pyruvate carrier regulates memory T cell differentiation and antitumor function

rGREAT: an R/bioconductor package for functional enrichment on genomic regions

Genomic Resolution of DLX-Orchestrated Transcriptional Circuits Driving Development of Forebrain GABAergic Neurons

Dynamics of broad H3K4me3 domains uncover an epigenetic switch between cell identity and cancer-related genes

Short tandem repeats are important contributors to silencer elements in T cells

Dynamics of transcriptional programs and chromatin accessibility in mouse spermatogonial cells from early postnatal to adult life

“Integration of multimodal data in the developing tooth reveals candidate dental disease genes”


Scrappie is a technology demonstrator for the Oxford Nanopore Research Algorithms group

Nanopore sequencing and assembly of a human genome with ultra-long reads

Nanopore Sequencing Technology and Tools: Computational Analysis of the Current State, Bottlenecks, and Future Directions

Research in Computational Molecular Biology

Real-time mapping of nanopore raw signals

NanoReviser: An Error-Correction Tool for Nanopore Sequencing Based on a Deep Learning Algorithm

De novo assembly of the complex genome of Nippostrongylus brasiliensis using MinION long reads

Completing Circular Bacterial Genomes With Assembly Complexity by Using a Sampling Strategy From a Single MinION Run With Barcoding

Accurate characterization of expanded tandem repeat length and sequence through whole genome long-read sequencing on PromethION

Finite-State Semi-Markov Channels for Nanopore Sequencing

Icarust, a real-time simulator for Oxford Nanopore adaptive sampling

Sigmoni: classification of nanopore signal with a compressed pangenome index

bioRxiv : the preprint server for biology


C++17 Library for analysis, compilation/synthesis, and optimization of quantum circuits

An Open-Source, Industrial-Strength Optimizing Compiler for Quantum Programs

Automatic generation of Grover quantum oracles for arbitrary data structures

Using ZDDs in the Mapping of Quantum Circuits

Optimizing quantum circuit synthesis for permutations using recursion


feature extraction from speech signals

Modulation spectral features for speech emotion recognition using deep neural networks

Multilingual evaluation of interpretable biomarkers to represent language and speech patterns in Parkinson's disease

Early detection of Parkinson’s disease from multiple signal speech: Based on Mandarin language dataset

Towards Domain-Agnostic and Domain-Adaptive Dementia Detection from Spoken Language

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

Speech language models lack important brain-relevant semantics

Self-Supervised Speech Representations Preserve Speech Characteristics while Anonymizing Voices


A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators

Action Space Shaping in Deep Reinforcement Learning

Scalable Bayesian Inverse Reinforcement Learning

Strictly Batch Imitation Learning by Energy-based Distribution Matching

Smooth Exploration for Robotic Reinforcement Learning

Diffusion-based Reinforcement Learning for Edge-enabled AI-Generated Content Services

Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning

Invariant Causal Imitation Learning for Generalizable Policies

Deep Reinforcement Learning

Policy Learning Using Weak Supervision


A CF-compliant Earth Science data analysis library


Not HDF5

A connectome and analysis of the adult Drosophila central brain

LABKIT: Labeling and Segmentation Toolkit for Big Image Data

Synaptic Cleft Segmentation in Non-Isotropic Volume Electron Microscopy of the Complete Drosophila Brain

A Hitchhiker`s Guide through the Bio-image Analysis Software Universe

Rapid reconstruction of neural circuits using tissue expansion and light sheet microscopy

OME-NGFF: scalable format strategies for interoperable bioimaging data

How innovations in methodology offer new prospects for volume electron microscopy

Deep Lake: a Lakehouse for Deep Learning

Image-based representation of massive spatial transcriptomics datasets

Time to Upgrade: A New OpenSPIM Guide to Build and Operate Advanced OpenSPIM Configurations


한국어 자연어처리를 위한 파이썬 라이브러리입니다. 단어 추출/ 토크나이저 / 품사판별/ 전처리의 기능을 제공합니다.

Machine Learning-Based Prediction of Korean Triage and Acuity Scale Level in Emergency Department Patients

Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation

Keyword Extraction Algorithm for Classifying Smoking Status from Unstructured Bilingual Electronic Health Records Based on Natural Language Processing

Exploring acceptance of autonomous vehicle policies using KeyBERT and SNA: Targeting engineering students


Turn Tweet IDs into Twitter JSON & CSV from your desktop!

Studying Reddit: A Systematic Overview of Disciplines, Approaches, Methods, and Ethics

Topics, Trends, and Sentiments of Tweets About the COVID-19 Pandemic: Temporal Infoveillance Study

Large Arabic Twitter Dataset on COVID-19

#Election2020: the first public Twitter dataset on the 2020 US Presidential election

Sentiment Analysis on COVID-19-Related Social Distancing in Canada Using Twitter Data

International journal of environmental research and public health

CoVaxxy: A Collection of English-language Twitter Posts About COVID-19 Vaccines

Tweets in Time of Conflict: A Public Dataset Tracking the Twitter Discourse on the War Between Ukraine and Russia

Cross-platform spread: vaccine-related content, sources, and conspiracy theories in YouTube videos shared in early Twitter COVID-19 conversations

COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions Attributes

A Stance Data Set on Polarized Conversations on Twitter about the Efficacy of Hydroxychloroquine as a Treatment for COVID-19


Spherical CNNs

Spherical CNNs

Kernel Transformer Networks for Compact Spherical Convolution

DeepSphere: a graph-based spherical CNN

Convolutional Networks for Spherical Signals

Intertwiners between Induced Representations (with Applications to the Theory of Equivariant Neural Networks)

A Spherical Convolution Approach for Learning Long Term Viewport Prediction in 360 Immersive Video

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

WSDesc: Weakly Supervised 3D Local Descriptor Learning for Point Cloud Registration

IEEE transactions on visualization and computer graphics

3D reconstruction of spherical images: a review of techniques, applications, and prospects


Scalable 1D Gaussian Processes in C++, Python, and Julia

Fast and Scalable Gaussian Process Modeling with Applications to Astronomical Time Series

juliet: a versatile modelling tool for transiting and non-transiting exoplanetary systems

A planet within the debris disk around the pre-main-sequence star AU Microscopii

Gaussian Process Regression for Astronomical Time Series

The CARMENES search for exoplanets around M dwarfs. A Neptune-mass planet traversing the habitable zone around HD 180617

Gaussian Process Modeling Fermi-LAT γ-Ray Blazar Variability: A Sample of Blazars with γ-Ray Quasi-periodicities

Gaussian process modelling of granulation and oscillations in red giant stars

Monthly Notices of the Royal Astronomical Society

A hot Saturn on an eccentric orbit around the giant star K2-132

The Dark World: A Tale of WASP-43b in Reflected Light with HST WFC3/UVIS

Bayesian Methods for Exoplanet Science


Transcription factor Occupancy prediction By Investigation of ATAC-seq Signal

Beyond accessibility: ATAC-seq footprinting unravels kinetics of transcription factor binding during zygotic genome activation

Extensive co-binding and rapid redistribution of NANOG and GATA6 during emergence of divergent lineages


Efficient, reusable RNNs and LSTMs for torch

The Marginal Value of Adaptive Gradient Methods in Machine Learning

Optimizing Performance of Recurrent Neural Networks on GPUs

Natural Language Statistical Features of LSTM-Generated Texts

IEEE transactions on neural networks and learning systems

Neural Information Retrieval: A Literature Review

Disentangling Adaptive Gradient Methods from Learning Rates

Deep Learning Relevance: Creating Relevant Information (as Opposed to Retrieving it)


Implementation of the node2vec algorithm.

node2vec: Scalable Feature Learning for Networks

Graph-based Semi-supervised Learning: A Comprehensive Review

Network analysis reveals rare disease signatures across multiple levels of biological organization

A Broader Picture of Random-walk Based Graph Embedding

CCGL: Contrastive Cascade Graph Learning

FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings

Assessment of community efforts to advance network-based prediction of protein–protein interactions

Graph Embeddings for Abusive Language Detection

GRAPE for fast and scalable graph processing and random-walk-based embedding

OpenGraphGym: A Parallel Reinforcement Learning Framework for Graph Optimization Problems


Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/

Pre-training Polish Transformer-based Language Models at Scale

Sentiment analysis of informal Malay tweets with deep learning

IAES International Journal of Artificial Intelligence (IJ-AI)

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

COOL, a Context Outlooker, and its Application to Question Answering and other Natural Language Processing Tasks


Palmetto is a quality measuring tool for topics

Neural Topic Modeling with Bidirectional Adversarial Training

ATM:Adversarial-neural Topic Model

TDAM: a Topic-Dependent Attention Model for Sentiment Analysis

Zenodo (CERN European Organization for Nuclear Research)

Detecting Perspectives in Political Debates

Empirical Methods in Natural Language Processing

Microblog Conversation Recommendation via Joint Modeling of Topics and Discourse

North American Chapter of the Association for Computational Linguistics

What You Say and How You Say it: Joint Modeling of Topics and Discourse in Microblog Conversations

Neural Topic Modeling with Cycle-Consistent Adversarial Training

Effective Neural Topic Modeling with Embedding Clustering Regularization

Neural Topic Modeling by Incorporating Document Relationship Graph

Extracting Topics with Simultaneous Word Co-occurrence and Semantic Correlation Graphs: Neural Topic Modeling for Short Texts

Findings of the Association for Computational Linguistics: EMNLP 2021


A python extension for quick access to bigWig and bigBed files

Screening for genes that accelerate the epigenetic aging clock in humans reveals a role for the H3K36 methyltransferase NSD1

SmProt: A Reliable Repository with Comprehensive Annotation of Small Proteins Identified from Ribosome Profiling

基因组蛋白质组与生物信息学报

Condensin DC loads and spreads from recruitment sites to create loop-anchored TADs in C. elegans

Cohesin organizes 3D DNA contacts surrounding active enhancers in C. elegans

Epiviz File Server: Query, transform and interactively explore data from indexed genomic files

The long noncoding RNA Charme supervises cardiomyocyte maturation by controlling cell differentiation programs in the developing heart

DeepChIA-PET: Accurately predicting ChIA-PET from Hi-C and ChIP-seq with deep dilated networks

Transcription regulates the spatio-temporal dynamics of genes through micro-compartmentalization


Isaac Gym Reinforcement Learning Environments

Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality

Causal Reinforcement Learning: A Survey

Entity-Centric Reinforcement Learning for Object Manipulation from
  Pixels

From Data-Fitting to Discovery: Interpreting the Neural Dynamics of Motor Control through Reinforcement Learning

LARG, Language-based Automatic Reward and Goal Generation


This repository contains data readers and examples for the three tracks of the Shifts Dataset and the Shifts Challenge.

Shifts: A Dataset of Real Distributional Shift Across Multiple Large-Scale Tasks

Shifts 2.0: Extending The Dataset of Real Distributional Shifts

Structural-Based Uncertainty in Deep Learning Across Anatomical Scales: Analysis in White Matter Lesion Segmentation

Wild-Tab: A Benchmark For Out-Of-Distribution Generalization In Tabular Regression


A random SQL query generator

SQUIRREL: Testing Database Management Systems with Language Validity and Coverage Feedback

Detecting optimization bugs in database engines via non-optimizing reference engine construction

PROCEEDINGS OF THE 28TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '20)

Finding bugs in database systems via query partitioning

Proceedings of the ACM on Programming Languages

On the unusual effectiveness of type-aware operator mutations for testing SMT solvers

Industry Practice of Coverage-Guided Enterprise-Level DBMS Fuzzing

Testing Database Engines via Query Plan Guidance

Data-Oriented Differential Testing of Object-Relational Mapping Systems

Testing Very Large Database Management Systems: The Case of SAP HANA

Perfce: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis

Hopper: Interpretative Fuzzing for Libraries


:sparkles::sparkles:Latest Advances on Multimodal Large Language Models

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models

A Survey on Multimodal Large Language Models

Mitigating Object Hallucinations in Large Vision-Language Models through Visual Contrastive Decoding

A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise

HALC: Object Hallucination Reduction via Adaptive Focal-Contrast
  Decoding

An Empirical Study of Challenges in Machine Learning Asset Management

Prompt-Aware Adapter: Towards Learning Adaptive Visual Tokens for
  Multimodal Large Language Models

Don't Miss the Forest for the Trees: Attentional Vision Calibration for Large Vision Language Models


:robot: The MoveIt motion planning framework

Mining guidelines for architecting robotics software

A Composable Framework for Policy Design, Learning, and Transfer Toward Safe and Efficient Industrial Insertion

Towards self-adaptable robots: from programming to training machines

CircuitBot: Learning to survive with robotic circuit drawing


Standardized and Automated MetaBarcoding Analyses workflow (Mirror)

Comparative Analysis of Fecal Microbiomes From Wild Waterbirds to Poultry, Cattle, Pigs, and Wastewater Treatment Plants for a Microbial Source Tracking Approach

Sharing Vitamin B12 between Bacteria and Microalgae Does Not Systematically Occur: Case Study of the Haptophyte Tisochrysis lutea

Quorum Sensing Regulates the Hydrolytic Enzyme Production and Community Composition of Heterotrophic Bacteria in Coastal Waters


Code to replicate posterior probability distributions with bijectors/KDEs and perform marginal KL/bayesian dimensionality calculations.

Marginal post-processing of Bayesian inference products with normalizing flows and kernel density estimators

Marginal Bayesian Statistics Using Masked Autoregressive Flows and Kernel Density Estimators with Examples in Cosmology

Piecewise Normalizing Flows


Code for the AED2 water quality / ecology library

Dynamic modelling provides new insights into development and maintenance of Lake Kivu's density stratification


Mulan Permissive Software License, Version 2

Aird format Conversion Client for Verdor File Conversion

Aird: a computation-oriented mass spectrometry data format enables a higher compression ratio and less decoding time

Column storage enables edge computation of biological big data on 5G networks.

Mathematical biosciences and engineering : MBE


Large Methane Emission Fluxes Observed From Tropical Wetlands in Zambia

Spatially and temporally resolved measurements of NOx fluxes by
airborne eddy-covariance over Greater London

Ozone deposition to a coastal sea: comparison of eddy covariance observations with reactive air–sea exchange models

Eddy Covariance Measurements Highlight Sources of Nitrogen Oxide Emissions Missing from Inventories for Central London

Intercomparison of eddy-covariance software for urban tall-tower sites

Pandemic Restrictions in 2020 highlight the significance of non-road NOx sources in central London


Software for analyzing high dimensional dose-response data

BMDExpress 2: enhanced transcriptomic dose-response analysis workflow

Assessment of developmental neurotoxicity induced by chemical mixtures using an adverse outcome pathway concept

Environmental health : a global access science source

A Modern Genotoxicity Testing Paradigm: Integration of the High-Throughput CometChip® and the TGx-DDI Transcriptomic Biomarker in Human HepaRG™ Cell Cultures

The sensitivity of transcriptomics BMD modeling to the methods used for microarray data normalization

Case study: Targeted RNA-sequencing of aged formalin-fixed paraffin-embedded samples for understanding chemical mode of action

Mining toxicogenomic data for dose-responsive pathways: implications in advancing next-generation risk assessment


python interface to the 3D radiative transfer code mcfost

Kinematic detection of a planet carving a gap in a protoplanetary disk

Circumbinary and circumstellar discs around the eccentric binary IRAS 04158+2805 — a testbed for binary–disc interaction

Kinematic Structures in Planet-Forming Disks

Detection of Near-infrared Water Ice at the Surface of the (Pre)Transitional Disk of AB Aur: Informing Icy Grain Abundance, Composition, and Size

A kinematic excess in the annular gap and gas depleted cavity in the disc around HD 169142

Observational Signatures of Circumbinary Discs I: Kinematics


ASER (Activities, States, Events, and their Relations): a large-scale weighted eventuality knowledge graph.

ASER: A Large-scale Eventuality Knowledge Graph

A Comprehensive Survey on Automatic Knowledge Graph Construction

ASER: Towards Large-scale Commonsense Knowledge Acquisition via Higher-order Selectional Preference over Eventualities

CoCoLM: Complex Commonsense Enhanced Language Model with Discourse Relations


Python suite to construct benchmark machine learning datasets from the MIMIC-III  clinical database.

Multitask learning and benchmarking with clinical time series data

MIMIC-Extract

RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data

EDDI: Efficient Dynamic Discovery of High-Value Information with Partial VAE

Federated Learning on Clinical Benchmark Data: Performance Assessment

Transfer Learning for Clinical Time Series Analysis Using Deep Neural Networks

Democratizing EHR analyses with FIDDLE: a flexible data-driven preprocessing pipeline for structured clinical data

Journal of the American Medical Informatics Association : JAMIA

Learning to Exploit Invariances in Clinical Time-Series Data using Sequence Transformer Networks

Compressed-VFL: Communication-Efficient Learning with Vertically Partitioned Data

Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks


A curated list of awesome Human-AI Interaction

What is AI Literacy? Competencies and Design Considerations

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

A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy

Ensembles of Deep LSTM Learners for Activity Recognition using Wearables

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design

LSTMVis: A Tool for Visual Analysis of Hidden State Dynamics in Recurrent Neural Networks

Co-Designing Checklists to Understand Organizational Challenges and Opportunities around Fairness in AI

ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models

Multimodal Deep Learning for Activity and Context Recognition

CNN Explainer: Learning Convolutional Neural Networks with Interactive Visualization

Seq2Seq-Vis: A Visual Debugging Tool for Sequence-to-Sequence Models


Software package for neuron reconstruction and visualization

A connectome of a learning and memory center in the adult Drosophila brain

The comprehensive connectome of a neural substrate for ‘ON’ motion detection in Drosophila

VAST (Volume Annotation and Segmentation Tool): Efficient Manual and Semi-Automatic Labeling of Large 3D Image Stacks

Comparisons between the ON- and OFF-edge motion pathways in the Drosophila brain

Simple integration of fast excitation and offset, delayed inhibition computes directional selectivity in Drosophila

NeuTu: Software for Collaborative, Large-Scale, Segmentation-Based Connectome Reconstruction

Automatic Neuron Type Identification by Neurite Localization in the Drosophila Medulla

Hierarchical architecture of dopaminergic circuits enables second-order conditioning in Drosophila

Large-Scale Electron Microscopy Image Segmentation in Spark

Igneous: Distributed dense 3D segmentation meshing, neuron skeletonization, and hierarchical downsampling


LibOPT is an optimization library developed in C language for the development of meta-heuristic-based techniques.

A metaheuristic-driven approach to fine-tune Deep Boltzmann Machines

LibOPT: An Open-Source Platform for Fast Prototyping Soft Optimization Techniques

A nature-inspired feature selection approach based on hypercomplex information


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

DCFace: Synthetic Face Generation with Dual Condition Diffusion Model

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

Consistent Instance False Positive Improves Fairness in Face Recognition

Evaluation-oriented Knowledge Distillation for Deep Face Recognition

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

Sibling-Attack: Rethinking Transferable Adversarial Attacks against Face Recognition

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

Proceedings of the 30th ACM International Conference on Multimedia

Privacy-Preserving Face Recognition Using Random Frequency Components


ETL-CDMBuilder is a repo containing a .NET Core application to perform ETL to OMOP CDM for multiple databases

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

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

Imputation and characterization of uncoded self-harm in major mental illness using machine learning

Proposal and Assessment of a De-Identification Strategy to Enhance Anonymity of the Observational Medical Outcomes Partnership Common Data Model (OMOP-CDM) in a Public Cloud-Computing Environment: Anonymization of Medical Data Using Privacy Models

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


TECA, theToolkit for Extreme Climate Analysis, contains a collection of climate anlysis algorithms targetted at extreme event detection and analysis.

Detection of atmospheric rivers with inline uncertainty quantification: TECA-BARD v1.0.1


Open-source implementations of OpenAI Gym MuJoCo environments for use with the OpenAI Gym Reinforcement Learning Research Platform.

Memory-based Deep Reinforcement Learning for POMDPs

Leveraging exploration in off-policy algorithms via normalizing flows

Efficient Continuous Control with Double Actors and Regularized Critics

The Effect of Multi-step Methods on Overestimation in Deep Reinforcement Learning

Optimistic Linear Support and Successor Features as a Basis for Optimal Policy Transfer

Steady State Analysis of Episodic Reinforcement Learning

Risk-Aware Transfer in Reinforcement Learning using Successor Features

What Went Wrong? Closing the Sim-to-Real Gap via Differentiable Causal Discovery

GUARD: A Safe Reinforcement Learning Benchmark

Off-Policy RL Algorithms Can be Sample-Efficient for Continuous Control via Sample Multiple Reuse


Creative Commons Attribution Share Alike 4.0 International

Open and Affordable Quantitative Imaging Platform


Janelia Animal Behavior Detector

Cortical pattern generation during dexterous movement is input-driven

Ventral hippocampal projections to the medial prefrontal cortex regulate social memory

Disrupting cortico-cerebellar communication impairs dexterity

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


VIMA: General Robot Manipulation with Multimodal Prompts

Synergies Between Affordance and Geometry: 6-DoF Grasp Detection via Implicit Representations

SORNet: Spatial Object-Centric Representations for Sequential Manipulation

NViSII: A Scriptable Tool for Photorealistic Image Generation

Optical Flow Estimation for Spiking Camera

Appearance-Driven Automatic 3D Model Simplification


A modular Hi-C mapping pipeline

A mechanism of cohesin‐dependent loop extrusion organizes zygotic genome architecture

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

FAN-C: a feature-rich framework for the analysis and visualisation of chromosome conformation capture data

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

Transcription shapes 3D chromatin organization by interacting with loop extrusion

A central role for canonical PRC1 in shaping the 3D nuclear landscape

Pairtools: From sequencing data to chromosome contacts

bioRxiv : the preprint server for biology

Genetic and spatial organization of the unusual chromosomes of the dinoflagellate Symbiodinium microadriaticum

Cohesin is required for long-range enhancer action at the Shh locus

Cohesin mutations alter DNA damage repair and chromatin structure and create therapeutic vulnerabilities in MDS/AML


The UppASD package is a simulation tool for atomistic spin dynamics and Monte Carlo simulations of Heisenberg spin systems.

Self-induced spin glass state in elemental and crystalline neodymium

Theory of magnon diffuse scattering in scanning transmission electron microscopy

Thermally induced magnetic order from glassiness in elemental neodymium

Unveiling the impact of temperature on magnon diffuse scattering detection in the transmission electron microscope

Skyrmions as quasiparticles: Free energy and entropy

Influence of nonlocal damping on magnon properties of ferromagnets

Spin wave excitations of magnetic metalorganic materials


Toolbox for fNIRS analysis

Frequent, Short Physical Activity Breaks Reduce Prefrontal Cortex Activation but Preserve Working Memory in Middle-Aged Adults: ABBaH Study

ABBaH teens: Activity Breaks for Brain Health in adolescents: study protocol for a randomized crossover trial

Acute effects of nitrate and breakfast on working memory, cerebral blood flow, arterial stiffness, and psychological factors in adolescents: Study protocol for a randomised crossover trial


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

Emerging trends: A gentle introduction to fine-tuning

Datasets for Large Language Models: A Comprehensive Survey

Emerging Trends: SOTA-Chasing

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

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

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

DuReader_vis: A Chinese Dataset for Open-domain Document Visual Question Answering

Findings of the Association for Computational Linguistics: ACL 2022


Performance tests for Apache Spark

MLlib: Machine Learning in Apache Spark

Arrow: Low-Level Augmented Bayesian Optimization for Finding the Best Cloud VM

International Conference on Distributed Computing Systems

Improving Spark Application Throughput Via Memory Aware Task Co-location: A Mixture of Experts Approach

Decision Stream: Cultivating Deep Decision Trees

Lynceus: Cost-efficient Tuning and Provisioning of Data Analytic Jobs

No Delay: Latency-Driven, Application Performance-Aware, Cluster Scheduling

Karasu: A Collaborative Approach to Efficient Cluster Configuration for Big Data Analytics


This project contains command line tools to perform rigid, affine and non-linear registration of nifti or analyse images as well as utilities

An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI

Learn2Reg: Comprehensive Multi-Task Medical Image Registration Challenge, Dataset and Evaluation in the Era of Deep Learning

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

Automated White Matter Hyperintensity Segmentation Using Bayesian Model Selection: Assessment and Correlations with Cognitive Change

Evaluation of MRI-derived surrogate signals to model respiratory motion

Biomedical physics & engineering express

AutoProstate: Towards Automated Reporting of Prostate MRI for Prostate Cancer Assessment Using Deep Learning

Diffusion tensor driven image registration: a deep learning approach

Presumed small vessel disease, imaging and cognition markers in the Alzheimer’s Disease Neuroimaging Initiative

Treatment reduces the incidence of newly appearing multiple sclerosis lesions evolving into chronic active, slowly expanding lesions: A retrospective analysis

Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome – a comprehensive morphometric analysis with active staining contrast-enhanced MRI


Run_dbcan V4, using genomes/metagenomes/proteomes of any assembled organisms (prokaryotes, fungi, plants, animals, viruses) to search for CAZymes.

Infant gut strain persistence is associated with maternal origin, phylogeny, and traits including surface adhesion and iron acquisition

Chromosome-level genomes of multicellular algal sisters to land plants illuminate signaling network evolution

Genomic characterization of a diazotrophic microbiota associated with maize aerial root mucilage

Comparative Genomics of the Genus Pseudomonas Reveals Host- and Environment-Specific Evolution

Zenodo (CERN European Organization for Nuclear Research)

Genetic and Functional Diversity Help Explain Pathogenic, Weakly Pathogenic, and Commensal Lifestyles in the Genus Xanthomonas

Metatranscriptomic analysis of the gut microbiome of black soldier fly larvae reared on lignocellulose-rich fiber diets unveils key lignocellulolytic enzymes

Complete Genome Sequence of Weissella cibaria NH9449 and Comprehensive Comparative-Genomic Analysis: Genomic Diversity and Versatility Trait Revealed

Identification and Genomic Characterization of Pathogenic Bacillus altitudinis from Common Pear Trees in Morocco

Taxonomic and functional stability overrules seasonality in polar benthic microbiomes


Probabilistically assign gender and race proportions of first/last authors pairs in bibliography entries

The extent and drivers of gender imbalance in neuroscience reference lists

Predicting Race and Ethnicity From the Sequence of Characters in a Name

Racial and ethnic imbalance in neuroscience reference lists and intersections with gender

New at Cell Press: The Inclusion and Diversity Statement

The Citation Diversity Statement: A Practice of Transparency, A Way of Life

Gendered Citation Practices in the Field of Communication

Annals of the International Communication Association

(In)citing Action to Realize an Equitable Future

Models of communication and control for brain networks: distinctions, convergence, and future outlook

Gender bias in (neuro)science: Facts, consequences, and solutions

Purpose in Life, Loneliness, and Protective Health Behaviors During the COVID-19 Pandemic


OSeMOSYS - the Open Source Energy Modelling System

Developing a community of practice around an open source energy modelling tool

Climate, Land, Energy and Water systems interactions – From key concepts to model implementation with OSeMOSYS

Demand Response Analysis Framework (DRAF): An Open-Source Multi-Objective Decision Support Tool for Decarbonizing Local Multi-Energy Systems

A clustering approach to improve spatial representation in water-energy-food models


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)

Retrofitting effect handlers onto OCaml

Programming Language Design and Implementation

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

X-search: revisiting private web search using intel SGX

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

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


:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

Conformer: Convolution-augmented Transformer for Speech Recognition

Sequence Transduction with Recurrent Neural Networks

SEGAN: Speech Enhancement Generative Adversarial Network

Streaming End-to-end Speech Recognition For Mobile Devices

ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context

Jasper: An End-to-End Convolutional Neural Acoustic Model

TorchAudio: Building Blocks for Audio and Speech Processing


OpenModelica Microgrid Gym (OMG): An OpenAI Gym Environment for Microgrids


Arduino Cryptography Library

Security and Performance in IoT: A Balancing Act

Ultra Lightweight Multiple-time Digital Signature for the Internet of Things Devices

Efficient Implementation of the SHA-512 Hash Function for 8-Bit AVR Microcontrollers

A Lightweight Key Agreement Protocol Based on Chinese Remainder Theorem and ECDH for Smart Homes

IoD-Crypt: A Lightweight Cryptographic Framework for Internet of Drones

Energy-Aware Digital Signatures for Embedded Medical Devices

Trusted Operations on Sensor Data


Beautiful visualizations of how language differs among document types.

Scattertext: a Browser-Based Tool for Visualizing how Corpora Differ

Generalized word shift graphs: a method for visualizing and explaining pairwise comparisons between texts

Evaluation of Automatic Speech Recognition for Conversational Speech in Dutch, English and German: What Goes Missing?

Conference on Natural Language Processing

Predicting gender and age categories in English conversations using lexical, non-lexical, and turn-taking features


Python package for process-oriented climate modeling


Highly comparative time-series analysis

Forecasting: theory and practice

Highly comparative time-series analysis: the empirical structure of time series and their methods

Automatic time-series phenotyping using massive feature extraction

Feature-based time-series analysis

A cortical surface-based geodesic distance package for Python

FV 12. Non-invasive Suppression of Essential Tremor via Phase-Locked Disruption of its Temporal Coherence

Classifying Kepler light curves for 12,000 A and F stars using
  supervised feature-based machine learning

Monthly Notices of the Royal Astronomical Society

Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis

A Physiology-Driven Computational Model for Post-Cardiac Arrest Outcome Prediction


Fixes mojibake and other glitches in Unicode text, after the fact.

QASC: A Dataset for Question Answering via Sentence Composition

RubCSG at SemEval-2022 Task 5: Ensemble learning for identifying misogynous MEMEs

Kyoto University Participation to the WMT 2019 News Shared Task

Proceedings of the Fourth Conference on Machine Translation (Volume 2: Shared Task Papers, Day 1)


tidy methods for mixed models in R

Cannabinoid and substance relationships of European congenital anomaly patterns: a space-time panel regression and causal inferential study

Geospatiotemporal and causal inference study of cannabis and other drugs as risk factors for female breast cancer USA 2003–2017

European Epidemiological Patterns of Cannabis- and Substance-Related Body Wall Congenital Anomalies: Geospatiotemporal and Causal Inferential Study

International journal of environmental research and public health

Cannabis- and Substance-Related Epidemiological Patterns of Chromosomal Congenital Anomalies in Europe: Geospatiotemporal and Causal Inferential Study

Cannabis- and Substance-Related Carcinogenesis in Europe: A Lagged Causal Inferential Panel Regression Study

Congenital anomaly epidemiological correlates of Δ8THC across USA 2003–16: panel regression and causal inferential study

European Epidemiological Patterns of Cannabis- and Substance-Related Congenital Neurological Anomalies: Geospatiotemporal and Causal Inferential Study

Epidemiological Patterns of Cannabis- and Substance- Related Congenital Uronephrological Anomalies in Europe: Geospatiotemporal and Causal Inferential Study

Patterns of Cannabis- and Substance-Related Congenital General Anomalies in Europe: A Geospatiotemporal and Causal Inferential Study

Geospatiotemporal and Causal Inferential Study of European Epidemiological Patterns of Cannabis- and Substance-Related Congenital Orofacial Anomalies


Luminaire is a python package that provides ML driven solutions for monitoring time series data.

Building an Automated and Self-Aware Anomaly Detection System

Root Cause Detection Among Anomalous Time Series Using Temporal State Alignment

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


bioBakery tools for meta'omic profiling

A distinct Fusobacterium nucleatum clade dominates the colorectal cancer niche

Bioinformatic approaches for studying the microbiome of fermented food

Studying the Association between Antibiotic Resistance Genes and Insertion Sequences in Metagenomes: Challenges and Pitfalls

Antibiotic-Induced Primary Biles Inhibit SARS-CoV-2 Endoribonuclease Nsp15 Activity in Mouse Gut

Frontiers in cellular and infection microbiology

LongDat: an R package for covariate-sensitive longitudinal analysis of high-dimensional data

Plasma metagenomics reveals regional variations of emerging and re-emerging pathogens in Chinese blood donors with an emphasis on human parvovirus B19

G. lucidum triterpenes restores intestinal flora balance in non-hepatitis B virus-related hepatocellular carcinoma: evidence of 16S rRNA sequencing and network pharmacology analysis

Environmental sources along natural cave ripening shape the microbiome and metabolome of artisanal blue-veined cheeses

Age over sex: evaluating gut microbiota differences in healthy Chinese populations


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

A Survey on Mixture of Experts

Improving Automatic Parallel Training via Balanced Memory Workload Optimization

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


Matrix-free Measurement Mitigation

Scalable Mitigation of Measurement Errors on Quantum Computers

Observation of the non-Hermitian skin effect and Fermi skin on a digital quantum computer

Efficient quantum readout-error mitigation for sparse measurement outcomes of near-term quantum devices

Simulating Majorana zero modes on a noisy quantum processor

Enhancing quantum utility: Simulating large-scale quantum spin chains on superconducting quantum computers

Teaching Qubits to Sing: Mission Impossible?


A python tool for evaluating the quality of sentence embeddings.

Skip-Thought Vectors

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Universal Sentence Encoder

What you can cram into a single vector: Probing sentence embeddings for linguistic properties

SentEval: An Evaluation Toolkit for Universal Sentence Representations

Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

StarSpace: Embed All The Things!

DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings

DisSent: Learning Sentence Representations from Explicit Discourse Relations


CityGML Energy ADE


The Highly Adaptive Lasso

Causal mediation analysis for stochastic interventions

Journal of the Royal Statistical Society Series B: Statistical Methodology

hal9001: Scalable highly adaptive lasso regression in R

Doubly Robust Adaptive LASSO for Effect Modifier Discovery


Multi-sample somatic variant caller

KRAS mutations in blood circulating cell-free DNA: a pancreatic cancer case-control

Circulating tumor DNA detection in head and neck cancer: evaluation of two different detection approaches

Needlestack: an ultra-sensitive variant caller for multi-sample next generation sequencing data


Formal to Formal Mathematics Benchmark

Measuring Mathematical Problem Solving With the MATH Dataset

Draft, Sketch, and Prove: Guiding Formal Theorem Provers with Informal Proofs

Formal Mathematics Statement Curriculum Learning

HyperTree Proof Search for Neural Theorem Proving

MiniF2F: a cross-system benchmark for formal Olympiad-level mathematics

InternLM-Math: Open Math Large Language Models Toward Verifiable
  Reasoning

Magnushammer: A Transformer-based Approach to Premise Selection

Enhancing Neural Theorem Proving through Data Augmentation and Dynamic Sampling Method


Deep Fact Validation

Knowledge Graph Validation

Towards Knowledge Graphs Validation through Weighted Knowledge Sources

Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019


Scaling Vision with Sparse Mixture of Experts

Plex: Towards Reliability using Pretrained Large Model Extensions

Sparse Upcycling: Training Mixture-of-Experts from Dense Checkpoints

From Sparse to Soft Mixtures of Experts

Sparse MoEs meet Efficient Ensembles

On the Adversarial Robustness of Mixture of Experts


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


Universal Transcript Archive: comprehensive genome-transcript alignments; multiple transcript sources, versions, and alignment methods; available as a docker image

VariantValidator: Accurate validation, mapping, and formatting of sequence variation descriptions

hgvs: A Python package for manipulating sequence variants using HGVS nomenclature: 2018 Update

Simulation studies, 3D QSAR and molecular docking on a point mutation of protein kinase B with flavonoids targeting ovarian Cancer

My Cancer Genome: Coevolution of Precision Oncology and a Molecular Oncology Knowledgebase

Unraveling the Mystery: Next Generation Sequencing Sheds Light on Neuroblastoma Pathogenesis and Targeted Therapies

Frontiers in bioscience (Landmark edition)


P2P communication library for Android

Web3: A Decentralized Societal Infrastructure for Identity, Trust, Money, and Data

Distributed Attestation Revocation in Self-Sovereign Identity


A general purpose, write-back block cache for Linux.

Error Characterization, Mitigation, and Recovery in Flash-Memory-Based Solid-State Drives

Errors in Flash-Memory-Based Solid-State Drives: Analysis, Mitigation, and Recovery

Nova-LSM: A Distributed, Component-based LSM-tree Key-value Store

SIGMOD '21: PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

ECI-Cache

Proceedings of the ACM on Measurement and Analysis of Computing Systems

Flashield: a Key-value Cache that Minimizes Writes to Flash


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.

Super Resolution for Renewable Energy Resource Data With Wind From Reanalysis Data (Sup3rWind) and Application to Ukraine


Meditron is a suite of open-source medical Large Language Models (LLMs).

MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

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

Hippocrates: An Open-Source Framework for Advancing Large Language
  Models in Healthcare

MedSafetyBench: Evaluating and Improving the Medical Safety of Large Language Models


A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

Volume Rendering of Neural Implicit Surfaces

KITTI-360: A Novel Dataset and Benchmarks for Urban Scene Understanding in 2D and 3D

Nerfstudio: A Modular Framework for Neural Radiance Field Development

Point-Based Neural Rendering with Per-View Optimization

HDR-NeRF: High Dynamic Range Neural Radiance Fields

ReLU Fields: The Little Non-linearity That Could

Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings

R2L: Distilling Neural Radiance Field to Neural Light Field for Efficient Novel View Synthesis

Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction


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

Shortcuts to the quantum approximate optimization algorithm

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

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

ChemiQ: A Chemistry Simulator for Quantum Computer


A Modern Platform for Planning High-Renewable Power Systems


The Second Conversational Intelligence Challenge (ConvAI2)

The Springer series on challenges in machine learning

Large Language Models Can Be Strong Differentially Private Learners

Importance of Search and Evaluation Strategies in Neural Dialogue Modeling

A survey of the vision transformers and their CNN-transformer based variants

A Clarifying Question Selection System from NTES_ALONG in Convai3 Challenge

How do decoding algorithms distribute information in dialogue responses?


Error-bounded Lossy Data Compressor (for floating-point/integer datasets)

Understanding GPU-Based Lossy Compression for Extreme-Scale Cosmological Simulations

LFZip: Lossy compression of multivariate floating-point time series data via improved prediction

Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures

FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing


min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch

StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation

GenEval: An Object-Focused Framework for Evaluating Text-to-Image Alignment

Getting it Right: Improving Spatial Consistency in Text-to-Image Models

Detecting Euphemisms with Literal Descriptions and Visual Imagery


Natural Language Processing Tutorial for Deep Learning Researchers

Attention Is All You Need

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

UWB @ DIACR-Ita: Lexical Semantic Change Detection with CCA and Orthogonal Transformation

Neural Machine Translation by Jointly Learning to Align and Translate

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Bag of Tricks for Efficient Text Classification

Predicting Subjective Features of Questions of QA Websites using BERT

2020 6th International Conference on Web Research (ICWR)


A generic programming header only C++ library for processing polygonal and polyhedral meshes

A Survey of Algorithms for Geodesic Paths and Distances

Hex-Mesh Generation and Processing: A Survey

HexaLab.net: An online viewer for hexahedral meshes

Optimal Dual Schemes for Adaptive Grid Based Hexmeshing

Polyhedral Mesh Quality Indicator for the Virtual Element Method

Interactive and Robust Mesh Booleans

FETI-DP preconditioners for the Virtual Element Method on general 2D meshes

Deterministic Linear Time Constrained Triangulation using Simplified Earcut

ParGeo: A Library for Parallel Computational Geometry

Mapping Surfaces with Earcut


PyAutoLens: Open Source Strong Gravitational Lensing

AutoLens: automated modeling of a strong lens’s light, mass, and source

PyAutoLens: Open-Source Strong Gravitational Lensing

Galaxy structure with strong gravitational lensing: decomposing the internal mass distribution of massive elliptical galaxies

Monthly notices of the Royal Astronomical Society

Astronomy and Astrophysics (0004-6361) - CO, H 2 O, H 2 O + line and dust emission in a z = 3.63 strongly lensed starburst merger at sub-kiloparsec scales

A forward-modelling method to infer the dark matter particle mass from strong gravitational lenses

Automated galaxy-galaxy strong lens modelling: no lens left behind

Systematic Errors Induced by the Elliptical Power-law model in Galaxy–Galaxy Strong Lens Modeling

Strong lens modelling: comparing and combining Bayesian neural networks and parametric profile fitting

Strong gravitational lensing's 'external shear' is not shear

Testing strong lensing subhalo detection with a cosmological simulation


中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca

Adapting Large Language Models for Content Moderation: Pitfalls in Data Engineering and Supervised Fine-tuning

Chinese Fine-Grained Financial Sentiment Analysis with Large Language Models

BLADE: Enhancing Black-box Large Language Models with Small
  Domain-Specific Models

Role Prompting Guided Domain Adaptation with General Capability Preserve
  for Large Language Models

Don't Ignore Dual Logic Ability of LLMs while Privatizing: A Data-Intensive Analysis in Medical Domain

Aurora:Activating Chinese chat capability for Mixtral-8x7B sparse Mixture-of-Experts through Instruction-Tuning


Multi-level network clustering based on the Map Equation

Self-Supervised Learning of Object Parts for Semantic Segmentation

Whole-genome microsynteny-based phylogeny of angiosperms

Genome structure-based Juglandaceae phylogenies contradict alignment-based phylogenies and substitution rates vary with DNA repair genes

Community Structures, Interactions and Dynamics in London's Bicycle Sharing Network

Map equation centrality: community-aware centrality based on the map equation

Detecting User Community in Sparse Domain via Cross-Graph Pairwise Learning

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20)

New Cross-Talks between Pathways Involved in Grapevine Infection with ‘Candidatus Phytoplasma solani’ Revealed by Temporal Network Modelling


PyTorch deep learning models for text processing

Regularizing and Optimizing LSTM Language Models

Integrating Question Classification and Deep Learning for improved Answer Selection

International Conference on Computational Linguistics

Multi-class Hierarchical Question Classification for Multiple Choice Science Exams

CNNs for NLP in the Browser: Client-Side Deployment and Visualization Opportunities

North American Chapter of the Association for Computational Linguistics


An ns-3 module for simulation of LoRaWAN networks

Performance of LoRaWAN for Handling Telemetry and Alarm Messages in Industrial Applications

Extending the Lora modulation to add further parallel channels and improve the LoRaWAN network performance

LR-FHSS-Sim: A Discrete-Event Simulator for LR-FHSS Networks


Web Application Security Scanner Framework

Semantic Similarity-Based Clustering of Findings From Security Testing Tools

Open Source Solutions for Vulnerability Assessment: A Comparative Analysis

Securing Web Applications through a Framework of Source Code Analysis


A Python interface to the 6S Radiative Transfer Model

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


Application Layer DoS attack simulator

SDN-Assisted Network-Based Mitigation of Slow DDoS Attacks

Two-Stage Intelligent Model for Detecting Malicious DDoS Behavior

Generator of Slow Denial-of-Service Cyber Attacks

Trusted Multi-Domain DDoS Detection Based on Federated Learning

Using a Neural Network to Detect Anomalies given an N-gram Profile


An attempt at a new LWE estimator

Survey on Fully Homomorphic Encryption, Theory, and Applications

Quantum Augmented Dual Attack

The cool and the cruel: separating hard parts of LWE secrets

A high-level comparison of state-of-the-art quantum algorithms for
  breaking asymmetric cryptography


Terrier IR Platform

Shopping Queries Dataset: A Large-Scale ESCI Benchmark for Improving Product Search

Meta-evaluation of Conversational Search Evaluation Metrics

ACM transactions on office information systems

Heuristic Feature Selection for Clickbait Detection


A detailed transport sector model.


Prosodic: a metrical-phonological parser, written in Python. For English and Finnish, with flexible language support.

Relative contributions of Shakespeare and Fletcher in Henry VIII: An analysis based on most frequent words and most frequent rhythmic patterns

ByGPT5: End-to-End Style-conditioned Poetry Generation with Token-free Language Models

Semantics of European poetry is shaped by conservative forces: The relationship between poetic meter and meaning in accentual-syllabic verse


Python code for downloading PV data from PVOutput.org


Object Centric Atari games

Unsupervised State Representation Learning in Atari

OCAtari: Object-Centric Atari 2600 Reinforcement Learning Environments

HackAtari: Atari Learning Environments for Robust and Continual Reinforcement Learning


Open Clearing House Protocol

Mobility in the Smart Grid: Roaming Protocols for EV Charging

Security of EV-Charging Protocols

An Overview of EV Roaming Protocols

Enabling EV Roaming Through Cascading WebSockets in OCPP 1.6

Journal Européen des Systèmes Automatisés


Hagelslag supports segmentation and tracking of weather fields and scalable verification, including performance diagrams and reliability diagrams.


Automagic

ZuCo, a simultaneous EEG and eye-tracking resource for natural sentence reading

CogniVal: A Framework for Cognitive Word Embedding Evaluation

Decoding EEG Brain Activity for Multi-Modal Natural Language Processing

Evidence and Urgency Related EEG Signals during Dynamic Decision-Making in Humans

Neural dynamics of sentiment processing during naturalistic sentence reading

The dynamic modular fingerprints of the human brain at rest

HD-EEG for tracking sub-second brain dynamics during cognitive tasks

A test-retest resting, and cognitive state EEG dataset during multiple subject-driven states


:honeybee: A python library to create, run and visualize radiance studies. Core library of Honeybee[+].


Open neural machine translation models and web services

OPUS-MT – Building open translation services for the World

European Association for Machine Translation Conferences/Workshops

XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization

XL-WSD: An Extra-Large and Cross-Lingual Evaluation Framework for Word Sense Disambiguation

Zenodo (CERN European Organization for Nuclear Research)

Democratizing Neural Machine Translation with OPUS-MT

Majority Voting with Bidirectional Pre-translation For Bitext Retrieval

The FISKMÖ Project: Resources and Tools for Finnish-Swedish Machine Translation and Cross-Linguistic Research

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

Lingua Custodia's participation at the WMT 2021 Machine Translation using Terminologies shared task

adaptNMT: an open-source, language-agnostic development environment for neural machine translation

Sentiment-based Candidate Selection for NMT


Specification of Quil: A Practical Quantum Instruction Set Architecture

OpenQASM 3: A broader and deeper quantum assembly language

An Open-Source, Industrial-Strength Optimizing Compiler for Quantum Programs


An extensible framework for program autotuning

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

Compiler Autotuning through Multiple-phase Learning

Search for Optimal Systolic Arrays: A Comprehensive Automated Exploration Framework and Lessons Learned


HYDrologic Remote sensing Analysis for Floods Python package


The Biorefinery Simulation and Techno-Economic Analysis Modules; Life Cycle Assessment; Chemical Process Simulation Under Uncertainty

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

Techno-Economic Evaluation of Biorefineries Based on Low-Value Feedstocks Using the BioSTEAM Software: A Case Study for Animal Bedding


Gene set variation analysis

Systematic Analysis of the Aberrances and Functional Implications of Ferroptosis in Cancer

A single-cell atlas of non-haematopoietic cells in human lymph nodes and lymphoma reveals a landscape of stromal remodelling

Immunopeptidomic analyses of colorectal cancers with and without microsatellite instability

Blockage of EGFR/AKT and mevalonate pathways synergize the antitumor effect of temozolomide by reprogramming energy metabolism in glioblastoma

Comprehensive Analysis of m6A RNA Methylation Regulators in the Prognosis and Immune Microenvironment of Multiple Myeloma

Eukaryotic translation initiation factor 2α kinase 2 in pancreatic cancer: An approach towards managing clinical prognosis and molecular immunological characterization

Lactotransferrin promotes intervertebral disc degeneration by regulating Fas and inhibiting human nucleus pulposus cell apoptosis

Potential biomarkers for multiple sclerosis stage from targeted proteomics and microRNA sequencing


bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

Behaviour Suite for Reinforcement Learning

Reinforcement Learning, Bit by Bit

Making Sense of Reinforcement Learning and Probabilistic Inference

Deep Reinforcement Learning

Temporal Difference Uncertainties as a Signal for Exploration

HyperAgent: A Simple, Scalable, Efficient and Provable Reinforcement
  Learning Framework for Complex Environments

Adaptive Pairwise Weights for Temporal Credit Assignment

MDP Playground: A Design and Debug Testbed for Reinforcement Learning

MDP Playground: An Analysis and Debug Testbed for Reinforcement Learning

Journal of Artificial Intelligence Research

Epistemic Monte Carlo Tree Search


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

Animal-AI 3: What's New & Why You Should Care


Creative Commons Attribution 4.0 International

Multi-subject data for the Spine Generic project

Open-access quantitative MRI data of the spinal cord and reproducibility across participants, sites and manufacturers

Minimum detectable spinal cord atrophy with automatic segmentation: Investigations using an open-access dataset of healthy participants

Towards contrast-agnostic soft segmentation of the spinal cord

Automatic Segmentation of the Spinal Cord Nerve Rootlets

Spine Generic Public Database (Multi-Subject)

Reproducible Spinal Cord Quantitative MRI Analysis with the Spinal Cord Toolbox

Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine


BayesfMRI R package

ciftiTools: A package for reading, writing, visualizing, and manipulating CIFTI files in R

Parallelized integrated nested Laplace approximations for fast Bayesian inference

Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups


A vocabulary for future-oriented mobility solutions and value-added services supporting them.

Git4Voc: Git-based Versioning for Collaborative Vocabulary Development


Distributed machine learning infrastructure for large-scale robotics research

BC-Z: Zero-Shot Task Generalization with Robotic Imitation Learning

Grasp2Vec: Learning Object Representations from Self-Supervised Grasping

RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer

Watch, Try, Learn: Meta-Learning from Demonstrations and Reward