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


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

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

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

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

International journal of molecular sciences

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

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

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


Pono: A flexible and extensible SMT-based model checker

Smt-Switch: a solver-agnostic C++ API for SMT Solving


A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).

Modified Genetic Algorithm for Feature Selection and Hyper Parameter Optimization: Case of XGBoost in Spam Prediction

SML-Bench - A benchmarking framework for structured machine learning

Zenodo (CERN European Organization for Nuclear Research)

Data-Driven Modeling for Multiphysics Parametrized Problems-Application to Induction Hardening Process

Optimal Minimal Margin Maximization with Boosting

Silas: High Performance, Explainable and Verifiable Machine Learning

Booster: An Accelerator for Gradient Boosting Decision Trees Training and Inference

IEEE International Parallel and Distributed Processing Symposium

Defining Big Data Analytics Benchmarks for Next Generation Supercomputers

Extracting Optimal Explanations for Ensemble Trees via Logical Reasoning

Factorization Machines with Regularization for Sparse Feature Interactions

Modeling the Telemarketing Process Using Genetic Algorithms and Extreme Boosting: Feature Selection and Cost-Sensitive Analytical Approach


A reference system that simulates real-world systems in order to more fairly compare various configurations of executors and other settings

ros2_tracing: Multipurpose Low-Overhead Framework for Real-Time Tracing of ROS 2

Message flow analysis with complex causal links for distributed ROS 2 systems

Deadline Miss Early Detection Method for Mixed Timer-Driven and Event-Driven DAG Tasks

PAAM: A Framework for Coordinated and Priority-Driven Accelerator
  Management in ROS 2


Single Cell Analysis Pipelines

Single-Cell Transcriptome Comparison of Bladder Cancer Reveals Its Ecosystem

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

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

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

Frontiers in cell and developmental biology

SUMO1 regulates post-infarct cardiac repair based on cellular heterogeneity

Unraveling the role of M1 macrophage and CXCL9 in predicting immune checkpoint inhibitor efficacy through multicohort analysis and single‐cell RNA sequencing

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

Dipeptidyl peptidase 4 inhibition sensitizes radiotherapy by promoting T cell infiltration

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

PICALM Regulating the Generation of Amyloid β‐Peptide to Promote Anthracycline‐Induced Cardiotoxicity


生物信息学软件，资源和工具库的精选列表

RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome

A program for annotating and predicting the effects of single nucleotide polymorphisms, SnpEff: SNPs in the genome of Drosophila melanogaster strain w(1118); iso-2; iso-3

A survey of best practices for RNA-seq data analysis

CNVkit: Genome-Wide Copy Number Detection and Visualization from Targeted DNA Sequencing

LUMPY: a probabilistic framework for structural variant discovery

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

A brief history of bioinformatics

Parasail: SIMD C library for global, semi-global, and local pairwise sequence alignments

A New Online Computational Biology Curriculum

DNAism: exploring genomic datasets on the web with Horizon Charts


Community Emissions Data System (CEDS)

Historical (1750–2014) anthropogenic emissions of reactive gases and aerosols from the Community Emissions Data System (CEDS)

The generation of gridded emissions data for CMIP6

Deep mitigation of CO2 and non-CO2 greenhouse gases toward 1.5 °C and 2 °C futures

A new global anthropogenic SO2 emission inventory for the last decade: a mosaic of satellite-derived and bottom-up emissions

Air pollution deaths attributable to fossil fuels: observational and modelling study

CEDS v_2021_04_21 Release Emission Data

Impacts of emission changes in China from 2010 to 2017 on domestic and intercontinental air quality and health effect

Chinese industrial air pollution emissions based on the continuous emission monitoring systems network

CERESMIP: a climate modeling protocol to investigate recent trends in the Earth's Energy Imbalance


Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

CaloGAN: Simulating 3D high energy particle showers in multilayer electromagnetic calorimeters with generative adversarial networks

Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis

Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multilayer Calorimeters

Geometry Score: A Method For Comparing Generative Adversarial Networks

Nanosecond machine learning event classification with boosted decision trees in FPGA for high energy physics


Nanopore RNA-Seq data from the Singapore Nanopore-Expression Project

JAFFAL: detecting fusion genes with long-read transcriptome sequencing

Detecting intragenic trans-splicing events from non-co-linearly spliced junctions by hybrid sequencing

Detection of alternative isoforms of gene fusions from long-read RNA-seq with FLAIR-fusion

The Singapore Nanopore Expression Project (SG-NEx) data pre-release v0.1

Detecting m6A RNA modification from nanopore sequencing using a semi-supervised learning framework

bioRxiv : the preprint server for biology


Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

Deep learning in electron microscopy

Machine Learning: Science and Technology

YouTube AV 50K: An Annotated Corpus for Comments in Autonomous Vehicles

Artificial Intelligence and Natural Language

Adversarial Machine Learning in Text Processing: A Literature Survey

The State of the Art of Natural Language Processing—A Systematic Automated Review of NLP Literature Using NLP Techniques

Adversarial Machine Learning in Text Analysis and Generation

Advances in Electron Microscopy with Deep Learning


Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

Analyzing and Improving the Image Quality of StyleGAN

Efficient Attention: Attention with Linear Complexities

Gradient penalty from a maximum margin perspective

Text-only domain adaptation for end-to-end ASR using integrated text-to-mel-spectrogram generator

Assisting the Adversary to Improve GAN Training

An Empirical Study of the Effects of Sample-Mixing Methods for Efficient Training of Generative Adversarial Networks


Copy number calling and variant classification using targeted short read sequencing

Genomic characterization of metastatic breast cancers

Genetic mechanisms of target antigen loss in CAR19 therapy of acute lymphoblastic leukemia

Efficacy of BGJ398, a Fibroblast Growth Factor Receptor 1-3 Inhibitor, in Patients with Previously Treated Advanced Urothelial Carcinoma with FGFR3 Alterations.

Tracking the Evolution of Resistance to ALK Tyrosine Kinase Inhibitors Through Longitudinal Analysis of Circulating Tumor DNA

PureCN: copy number calling and SNV classification using targeted short read sequencing

Characterizing dedifferentiation of thyroid cancer by integrated analysis

Combined PD-1, BRAF and MEK inhibition in advanced BRAF-mutant melanoma: safety run-in and biomarker cohorts of COMBI-i

Characterization of Nigerian breast cancer reveals prevalent homologous recombination deficiency and aggressive molecular features

Cell-free DNA captures tumor heterogeneity and driver alterations in rapid autopsies with pre-treated metastatic cancer

Reliable Analysis of Clinical Tumor-Only Whole-Exome Sequencing Data


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

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

An Exploratory Characterization of Bugs in COVID-19 Software Projects

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

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

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

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


a Deep Learning Framework for Text https://delft.readthedocs.io/

A Benchmark of PDF Information Extraction Tools Using a Multi-task and Multi-domain Evaluation Framework for Academic Documents

Delayed Combination of Feature Embedding in Bidirectional LSTM CRF for NER

Automatic extraction of materials and properties from superconductors scientific literature

Science and Technology of Advanced Materials: Methods

Amsqr at SemEval-2020 Task 12: Offensive Language Detection Using Neural Networks and Anti-adversarial Features

International Workshop on Semantic Evaluation

The Kairntech Sherpa – An ML Platform and API for the Enrichment of (not only) Scientific Content


TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.

Predicting COVID-19 Pneumonia Severity on Chest X-ray with Deep Learning

On the limits of cross-domain generalization in automated X-ray prediction

Adapting Pretrained Vision-Language Foundational Models to Medical Imaging Domains

Medical Image Captioning via Generative Pretrained Transformers

Saliency is a Possible Red Herring When Diagnosing Poor Generalization

Effect of pre-training scale on intra- and inter-domain, full and few-shot transfer learning for natural and X-Ray chest images

QIAI at MEDIQA 2021: Multimodal Radiology Report Summarization

Workshop on Biomedical Natural Language Processing

LLM-CXR: Instruction-Finetuned LLM for CXR Image Understanding and Generation

Suppressing Poisoning Attacks on Federated Learning for Medical Imaging


A collection of papers on the topic of ``Computer Vision in the Wild (CVinW)''

Visual Instruction Tuning

Multimodal Foundation Models: From Specialists to General-Purpose Assistants

Vision-Language Pre-training: Basics, Recent Advances, and Future Trends

ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models


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 from spherical images: A review of techniques, applications, and prospects


Rapid & standardized annotation of bacterial genomes, MAGs & plasmids

Bakta: rapid and standardized annotation of bacterial genomes via alignment-free sequence identification

Genomic Analysis Reveals New Integrative Conjugal Elements and Transposons in GBS Conferring Antimicrobial Resistance

Genomic insight into Campylobacter jejuni isolated from commercial turkey flocks in Germany using whole-genome sequencing analysis

Genomics of Tenacibaculum Species in British Columbia, Canada

Real-time genomic epidemiologic investigation of a multispecies plasmid-associated hospital outbreak of NDM-5-producing Enterobacterales infections

International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases

StAP1 phage: an effective tool for treating methicillin-resistant Staphylococcus aureus infections

Genomic Epidemiologic Investigation of a Multispecies Hospital Outbreak of NDM-5-Producing Enterobacterales Infections

medRxiv : the preprint server for health sciences

Emergence of High-Level Gentamicin Resistance in Streptococcus agalactiae Hypervirulent Serotype IV ST1010 (CC452) Strains by Acquisition of a Novel Integrative and Conjugative Element


Compilation, analysis and optimization framework for the Scaffold quantum programming language.

Open Quantum Assembly Language

Full-Stack, Real-System Quantum Computer Studies: Architectural Comparisons and Design Insights

Open source software in quantum computing

Statistical Assertions for Validating Patterns and Finding Bugs in Quantum Programs

PROCEEDINGS OF THE 2019 46TH INTERNATIONAL SYMPOSIUM ON COMPUTER ARCHITECTURE (ISCA '19)

QASMBench: A Low-Level Quantum Benchmark Suite for NISQ Evaluation and Simulation

QASMBench: A Low-level QASM Benchmark Suite for NISQ Evaluation and Simulation

Architecting Noisy Intermediate-Scale Trapped Ion Quantum Computers

Quantum computing with Qiskit

Efficient decomposition methods for controlled-R n using a single ancillary qubit.

Formal constraint-based compilation for noisy intermediate-scale quantum systems


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

Graph Embeddings for Abusive Language Detection

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

GRAPE for Fast and Scalable Graph Processing and random walk-based Embedding

OpenGraphGym: A Parallel Reinforcement Learning Framework for Graph Optimization Problems


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

Multiscale Point Cloud Geometry Compression

MuSCLE: Multi Sweep Compression of LiDAR using Deep Entropy Models

Sparse Tensor-based Point Cloud Attribute Compression

3DAC: Learning Attribute Compression for Point Clouds

BASICS: Broad Quality Assessment of Static Point Clouds in a Compression Scenario

Lossless Point Cloud Geometry and Attribute Compression Using a Learned Conditional Probability Model

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

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

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

Efficient LiDAR Point Cloud Geometry Compression Through Neighborhood Point Attention


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 mediated loop extrusion from active enhancers form chromatin jets in C. elegans

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

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

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

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


Enhancing {ggplot2} plots with statistical analysis

GRB10 and E2F3 as Diagnostic Markers of Osteoarthritis and Their Correlation with Immune Infiltration

Emergence of novel cephalopod gene regulation and expression through large-scale genome reorganization

Significant reduction in depressive symptoms among patients with moderately-severe to severe depressive symptoms after participation in a therapist-supported, evidence-based mobile health program delivered via a smartphone app

Identification of TYR, TYRP1, DCT and LARP7 as related biomarkers and immune infiltration characteristics of vitiligo via comprehensive strategies

Distinct Profiles of 50 kHz Vocalizations Differentiate Between Social Versus Non-social Reward Approach and Consumption

Integrated Analysis of Tumor Mutation Burden and Immune Infiltrates in Hepatocellular Carcinoma

Identification of prognosis-related hub genes of ovarian cancer through bioinformatics analyses and experimental verification

Identification of Potential Key Biomarkers of Atrial Fibrillation and Their Correlation with Immune Infiltration in Atrial Tissue

Computational and mathematical methods in medicine

Bioinformatic Characterization of Whole Blood Neutrophils in Pelvic Inflammatory Disease: A Potential Prognostic Indicator for Transumbilical Single-Port Laparoscopic Pelvic Abscess Surgery

Combined Inhibition of UBE2C and PLK1 Reduce Cell Proliferation and Arrest Cell Cycle by Affecting ACLY in Pan-Cancer

International journal of molecular sciences


A home for ethereum smart contracts.

Elysium: Context-Aware Bytecode-Level Patching to Automatically Heal Vulnerable Smart Contracts

Abusing the Ethereum Smart Contract Verification Services for Fun and Profit

Identifying Smart Contract Security Issues in Code Snippets from Stack
  Overflow

Characterizing Ethereum Upgradable Smart Contracts and Their Security
  Implications


Jack the Reader

Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence

Making Neural QA as Simple as Possible but not Simpler

NLProlog: Reasoning with Weak Unification for Question Answering in Natural Language

Context-Guided BERT for Targeted Aspect-Based Sentiment Analysis

SubjQA: A Dataset for Subjectivity and Review Comprehension

Jack the Reader - A Machine Reading Framework


Pure Numpy Implementation of the Coherent Point Drift Algorithm

Scalable Gromov-Wasserstein Learning for Graph Partitioning and Matching

Decoding locomotion from population neural activity in moving C. elegans

3DeeCellTracker, a deep learning-based pipeline for segmenting and tracking cells in 3D time lapse images

Parallel visual circuitry in a basal chordate

Robust recognition and exploratory analysis of crystal structures via Bayesian deep learning

Fast and Accurate Point Cloud Registration using Trees of Gaussian Mixtures

Direct Fitting of Gaussian Mixture Models

Enumerating Calabi‐Yau Manifolds: Placing Bounds on the Number of Diffeomorphism Classes in the Kreuzer‐Skarke List

Partial Transport for Point-Cloud Registration


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


Convolutional Neural Network for Text Classification in Tensorflow

A Sensitivity Analysis of (and Practitioners' Guide to) Convolutional Neural Networks for Sentence Classification

FakeNewsNet: A Data Repository with News Content, Social Context, and Spatiotemporal Information for Studying Fake News on Social Media

Hate Speech Dataset from a White Supremacy Forum

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

All-but-the-Top: Simple and Effective Postprocessing for Word Representations

CASCADE: Contextual Sarcasm Detection in Online Discussion Forums

FakeNewsNet: A Data Repository with News Content, Social Context and Spatialtemporal Information for Studying Fake News on Social Media

Fake news detection based on news content and social contexts: a transformer-based approach

International Journal of Data Science and Analytics

Open-world Machine Learning: Applications, Challenges, and Opportunities


How Well Can We Measure the Stellar Mass of a Galaxy: The Impact of the Assumed Star Formation History Model in SED Fitting

The Three Hundred project: The gizmo-simba run

Monthly notices of the Royal Astronomical Society

mirkwood: Fast and Accurate SED Modeling Using Machine Learning

Quenching and the UVJ Diagram in the SIMBA Cosmological Simulation

The origin of the dust extinction curve in milky way-like galaxies

Hybrid analytic and machine-learned baryonic property insertion into galactic dark matter haloes

The BPT Diagram in Cosmological Galaxy Formation Simulations: Understanding the Physics Driving Offsets at High Redshift

Boundless baryons: how diffuse gas contributes to anisotropic tSZ signal around simulated Three Hundred clusters

High dust content of a quiescent galaxy at z ∼ 2 revealed by deep ALMA observation

Galaxy pairs in THE THREE HUNDRED simulations II: studying bound ones and identifying them via machine learning


High-order Remap Miniapp

High-Order Multi-Material ALE Hydrodynamics

High-order local maximum principle preserving (MPP) discontinuous Galerkin finite element method for the transport equation

Efficient exascale discretizations: High-order finite element methods

The international journal of high performance computing applications

Monotonicity in high‐order curvilinear finite element arbitrary Lagrangian–Eulerian remap

International Journal for Numerical Methods in Fluids

Matrix-free subcell residual distribution for Bernstein finite element discretizations of linear advection equations

Computer Methods in Applied Mechanics and Engineering

Matrix-free subcell residual distribution for Bernstein finite elements: Monolithic limiting

High-performance finite elements with MFEM


Get and reproduce data from the Propensity to Cycle Tool (PCT)


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

Monthly Notices of the Royal Astronomical Society

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

Kinematic Structures in Planet-Forming Disks

Observational signatures of circumbinary discs – I. Kinematics


The circularity.ID Open Data Standard. The standard represents the results and findings of an extensive six-year research into the needs of stakeholders in the fashion industry to achieve a circular economy.


Statistics for MINC volumes: A library to integrate voxel-based statistics for MINC volumes into the R environment. Supports getting and writing of MINC volumes, running voxel-wise linear models, correlations, etc.; correcting for multiple comparisons using the False Discovery Rate, and more. With contributions from Jason Lerch, Chris Hammill, Jim Nikelski and Matthijs van Eede. Some additional information can be found here:

[18F]FDG PET signal is driven by astroglial glutamate transport

Subcortical Shape Changes, Hippocampal Atrophy and Cortical Thinning in Future Alzheimer's Disease Patients

Neuroanatomy in mouse models of Rett syndrome is related to the severity of Mecp2 mutation and behavioral phenotypes

Neuroanatomical and Symptomatic Sex Differences in Individuals at Clinical High Risk for Psychosis

Personality disorder symptomatology is associated with anomalies in striatal and prefrontal morphology

Brain Structures and Networks Underlying Treatment Response to Deep Brain Stimulation Targeting the Inferior Thalamic Peduncle in Obsessive-Compulsive Disorder

Stereotactic and functional neurosurgery

Habenular Involvement in Response to Subcallosal Cingulate Deep Brain Stimulation for Depression

Bilateral Amygdala Radio-Frequency Ablation for Refractory Aggressive Behavior Alters Local Cortical Thickness to a Pattern Found in Non-refractory Patients

MusMorph, a database of standardized mouse morphology data for morphometric meta-analyses

A Functional Connectome of Parkinson's Disease Patients Prior to Deep Brain Stimulation: A Tool for Disease-Specific Connectivity Analyses


TenStream - a 3D radiative transfer solver for earth system models


百度NLP：分词，词性标注，命名实体识别，词重要性

Chinese Lexical Analysis with Deep Bi-GRU-CRF Network

Integrating Pattern- and Fact-based Fake News Detection via Model Preference Learning

PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021

TGEA: An Error-Annotated Dataset and Benchmark Tasks for TextGeneration from Pretrained Language Models

Meeting of the Association for Computational Linguistics

DuQM: A Chinese Dataset of Linguistically Perturbed Natural Questions for Evaluating the Robustness of Question Matching Models

Less Learn Shortcut: Analyzing and Mitigating Learning of Spurious Feature-Label Correlation

Changes in Public Sentiment under the Background of Major Emergencies—Taking the Shanghai Epidemic as an Example

International journal of environmental research and public health

Joint Intent Detection and Entity Linking on Spatial Domain Queries

Prediction, Selection, and Generation: Exploration of Knowledge-Driven Conversation System

System Description on Automatic Simultaneous Translation Workshop

Proceedings of the Second Workshop on Automatic Simultaneous Translation


Geospatial Land Availability for Energy Systems

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

Evaluating Land Eligibility Constraints of Renewable Energy Sources in Europe

Uniformly constrained land eligibility for onshore European wind power


Public facing deeplift repo

Towards better understanding of gradient-based attribution methods for Deep Neural Networks

A unified view of gradient-based attribution methods for Deep Neural Networks

Human-grounded Evaluations of Explanation Methods for Text Classification

Explainable AI for Bioinformatics: Methods, Tools, and Applications

DeePathology: Deep Multi-Task Learning for Inferring Molecular Pathology from Cancer Transcriptome

Interpreting Interpretations: Organizing Attribution Methods by Criteria

A Deep Neural Network for Gastric Cancer Prognosis Prediction Based on Biological Information Pathways

Challenges for cognitive decoding using deep learning methods

Genome Informatics 2016


This library provides common speech features for ASR including MFCCs and filterbank energies.

Exploring Self-Supervised Representation Ensembles for COVID-19 Cough Classification

Deep Room Recognition Using Inaudible Echos

Chromas from chromatin: sonification of the epigenome

Acoustical Classification of the Urban Road Traffic with Large Arrays of Microphones


Official Repository for EvalRS @ CIKM 2022: a Rounded Evaluation of Recommender Systems

Beyond NDCG: Behavioral Testing of Recommender Systems with RecList

EvalRS: a Rounded Evaluation of Recommender Systems

EvalRS 2023. Well-Rounded Recommender Systems For Real-World Deployments

Triplet Losses-based Matrix Factorization for Robust Recommendations

Item-based Variational Auto-encoder for Fair Music Recommendation


R toolkit for the analysis of single-cell chromatin data

ArchR is a scalable software package for integrative single-cell chromatin accessibility analysis

Single-nucleus RNA-seq and FISH identify coordinated transcriptional activity in mammalian myofibers

Skin-resident innate lymphoid cells converge on a pathogenic effector state

Single-cell chromatin accessibility landscape identifies tissue repair program in human regulatory T cells

Differential chromatin binding of the lung lineage transcription factor NKX2-1 resolves opposing murine alveolar cell fates in vivo

Spatially mapped single-cell chromatin accessibility

Epigenetic regulation during cancer transitions across 11 tumour types

A fast Myosin super enhancer dictates muscle fiber phenotype through competitive interactions with Myosin genes

Integrative Single-Cell Analysis Reveals Transcriptional and Epigenetic Regulatory Features of Clear Cell Renal Cell Carcinoma

Occult polyclonality of preclinical pancreatic cancer models drives in vitro evolution


Python3 scripts to manipulate FASTA and FASTQ files

IVA: accurate de novo assembly of RNA virus genomes

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

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

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

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

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

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

Nearly Complete Genome Sequence of Brugia malayi Strain FR3

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

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


software for UCE (and general) phylogenomics

Ultraconserved Elements Anchor Thousands of Genetic Markers Spanning Multiple Evolutionary Timescales

PHYLUCE is a software package for the analysis of conserved genomic loci

Hyb‐Seq: Combining target enrichment and genome skimming for plant phylogenomics

A Phylogeny of Birds Based on Over 1,500 Loci Collected by Target Enrichment and High-Throughput Sequencing

Target Capture and Massively Parallel Sequencing of Ultraconserved Elements for Comparative Studies at Shallow Evolutionary Time Scales

A Phylogenomic Perspective on the Radiation of Ray-Finned Fishes Based upon Targeted Sequencing of Ultraconserved Elements (UCEs)

Target enrichment of ultraconserved elements from arthropods provides a genomic perspective on relationships among Hymenoptera

Sequence Capture versus Restriction Site Associated DNA Sequencing for Shallow Systematics.

Enriching the ant tree of life: enhanced UCE bait set for genome‐scale phylogenetics of ants and other Hymenoptera

Identifying conserved genomic elements and designing universal bait sets to enrich them


Parsers for scientific papers (PDF2JSON, TEX2JSON, JATS2JSON)

Improving the Accessibility of Scientific Documents: Current State, User Needs, and a System Solution to Enhance Scientific PDF Accessibility for Blind and Low Vision Users

Graph Neural Networks and Representation Embedding for Table Extraction in PDF Documents

The ACL OCL Corpus: Advancing Open Science in Computational Linguistics

The Rise of Open Science: Tracking the Evolution and Perceived Value of Data and Methods Link-Sharing Practices

Hierarchical Catalogue Generation for Literature Review: A Benchmark


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

Data Minimization for GDPR Compliance in Machine Learning Models

Anonymizing Machine Learning Models

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


Intel(R) Machine Learning Scaling Library is a library providing an efficient implementation of communication patterns used in deep learning.

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

Scale out for large minibatch SGD: Residual network training on ImageNet-1K with improved accuracy and reduced time to train

Deep Neural Networks for Physics Analysis on low-level whole-detector data at the LHC

Enabling Compute-Communication Overlap in Distributed Deep Learning Training Platforms

International Symposium on Computer Architecture

On Scale-out Deep Learning Training for Cloud and HPC

Democratizing Production-Scale Distributed Deep Learning

Efficient Communication Acceleration for Next-Gen Scale-up Deep Learning Training Platforms.

Gleam: An RDMA-accelerated Multicast Protocol for Datacenter Networks


Client library for interfacing with USGS datasets


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

Emerging Trends: SOTA-Chasing

Datasets for Large Language Models: A Comprehensive Survey

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


An open-source microcontroller system based on RISC-V

LO-FAT: Low-Overhead Control Flow ATtestation in Hardware

PROCEEDINGS OF THE 2017 54TH ACM/EDAC/IEEE DESIGN AUTOMATION CONFERENCE (DAC)

RISQ-V: Tightly Coupled RISC-V Accelerators for Post-Quantum Cryptography

IACR Transactions on Cryptographic Hardware and Embedded Systems

Sponge-Based Control-Flow Protection for IoT Devices

A Pragmatic Methodology for Blind Hardware Trojan Insertion in Finalized Layouts

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design

Pointing in the Right Direction - Securing Memory Accesses in a Faulty World

Asia-Pacific Computer Systems Architecture Conference


MetaXcan software and manuscript

Exploring the phenotypic consequences of tissue specific gene expression variation inferred from GWAS summary statistics

Common and rare variant association analyses in Amyotrophic Lateral Sclerosis identify 15 risk loci with distinct genetic architectures and neuron-specific biology

Genome-wide meta-analysis of problematic alcohol use in 435,563 individuals yields insights into biology and relationships with other traits

Integrating predicted transcriptome from multiple tissues improves association detection

Exploiting the GTEx resources to decipher the mechanisms at GWAS loci

Genetic variants associated with mosaic Y chromosome loss highlight cell cycle genes and overlap with cancer susceptibility

Genome-wide meta-analysis of cognitive empathy: heritability, and correlates with sex, neuropsychiatric conditions and cognition

Joint genome-wide association study of progressive supranuclear palsy identifies novel susceptibility loci and genetic correlation to neurodegenerative diseases

Multi-ancestry GWAS of the electrocardiographic PR interval identifies 202 loci underlying cardiac conduction

Identifying Nootropic Drug Targets via Large-Scale Cognitive GWAS and Transcriptomics


Open MatSci ML Toolkit is a framework for prototyping and scaling out deep learning models for materials discovery supporting widely used materials science datasets, and built on top of PyTorch Lightning, the Deep Graph Library, and PyTorch Geometric.

Directional Message Passing for Molecular Graphs

Towards Training Billion Parameter Graph Neural Networks for Atomic Simulations

The Open MatSci ML Toolkit: A Flexible Framework for Machine Learning in Materials Science

MatSciML: A Broad, Multi-Task Benchmark for Solid-State Materials Modeling

Deep Graph Library Optimizations for Intel(R) x86 Architecture


Channel management tool for lightning network daemon (LND) operators.

Imbalance measure and proactive channel rebalancing algorithm for the Lightning Network

Wiser: Increasing Throughput in Payment Channel Networks with Transaction Aggregation

Online Admission Control and Rebalancing in Payment Channel Networks


PhyML -- Phylogenetic estimation using (Maximum) Likelihood

A Darwinian Uncertainty Principle

Refined analyses suggest that recombination is a minor source of genomic diversity in Pseudomonas aeruginosa chronic cystic fibrosis infections

Healthcare workers acquired COVID-19 disease from patients? An investigation by phylogenomics

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


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 †


The Medical Image Registration ToolKit (MIRTK), the successor of the IRTK, contains common CMake build configuration files, core libraries, and basic command-line tools. Extension packages are hosted by the MIRTK GitHub group at

Joint Learning of Motion Estimation and Segmentation for Cardiac MR Image Sequences

Structural brain imaging in Alzheimer’s disease and mild cognitive impairment: biomarker analysis and shared morphometry database

Deformable Slice-to-Volume Registration for Motion Correction of Fetal Body and Placenta MRI

Universal atrial coordinates applied to visualisation, registration and construction of patient specific meshes

Constructing a Human Atrial Fibre Atlas

Zenodo (CERN European Organization for Nuclear Research)

Automatic Segmentation of White Matter Hyperintensities from Brain Magnetic Resonance Images in the Era of Deep Learning and Big Data – A Systematic Review

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society

PVR: Patch-to-Volume Reconstruction for Large Area Motion Correction of Fetal MRI

Parcellation of the neonatal cortex using Surface-based Melbourne Children’s Regional Infant Brain atlases (M-CRIB-S)

Joint Motion Estimation and Segmentation from Undersampled Cardiac MR Image

Machine Learning for Medical Image Reconstruction

Fully Automatic Atrial Fibrosis Assessment Using a Multilabel Convolutional Neural Network


R package for the joint analysis of multiple single-cell RNA-seq datasets

Computational methods for the integrative analysis of single-cell data

A transcriptional metastatic signature predicts survival in clear cell renal cell carcinoma

Image-seq: spatially resolved single-cell sequencing guided by in situ and in vivo imaging

DISSECTING TUMOR TRANSCRIPTIONAL HETEROGENEITY FROM SINGLE-CELL RNA-SEQ DATA BY GENERALIZED BINARY COVARIANCE DECOMPOSITION.

bioRxiv : the preprint server for biology


PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting

Multivariate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows

TACTiS: Transformer-Attentional Copulas for Time Series

Probabilistic Time Series Forecasting with Implicit Quantile Networks

MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided
  Learning Process

DynaConF: Dynamic Forecasting of Non-Stationary Time-Series

SpecSTG: A Fast Spectral Diffusion Framework for Probabilistic Spatio-Temporal Traffic Forecasting


Deep learning framework for MRI reconstruction

Results of the 2020 fastMRI Challenge for Machine Learning MR Image Reconstruction

Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction

DIRECT: Deep Image REConstruction Toolkit

Deep MRI Reconstruction with Radial Subsampling

vSHARP: variable Splitting Half-quadratic ADMM algorithm for Reconstruction of inverse-Problems

CAMP-Net: Consistency-Aware Multi-Prior Network for Accelerated MRI Reconstruction

Score-based Generative Priors Guided Model-driven Network for MRI
  Reconstruction


This is the official implementation of Multi-Agent PPO (MAPPO).

The Surprising Effectiveness of PPO in Cooperative, Multi-Agent Games

Robust Multi-Agent Reinforcement Learning with State Uncertainty

Scalable Multi-Agent Model-Based Reinforcement Learning

Breaking the Curse of Dimensionality in Multiagent State Space: A Unified Agent Permutation Framework

MARLlib: A Scalable and Efficient Multi-agent Reinforcement Learning Library

Policy Regularization via Noisy Advantage Values for Cooperative Multi-agent Actor-Critic methods

Compositional Neural Certificates for Networked Dynamical Systems

Toward multi-target self-organizing pursuit in a partially observable Markov game

Scalable Multi-Agent Reinforcement Learning through Intelligent Information Aggregation

Byzantine Robust Cooperative Multi-Agent Reinforcement Learning as a Bayesian Game


Fast code for parallel or fan beam tomographic reconstruction

X-ray Tomography Applied to Electrochemical Devices and Electrocatalysis

Algorithm-Driven Advances for Scientific CT Instruments: From model-based to deep learning-based approaches

Generative Plug and Play: Posterior Sampling for Inverse Problems

An Edge Alignment-Based Orientation Selection Method for Neutron Tomography

Deep Regularized Compound Gaussian Network for Solving Linear Inverse Problems

tomoCAM: fast model-based iterative reconstruction via GPU acceleration and non-uniform fast Fourier transforms

Multi-Pose Fusion for Sparse-View CT Reconstruction Using Consensus Equilibrium


aTRAM 2.0: An Improved, Flexible Locus Assembler for NGS Data

aTRAM - automated target restricted assembly method: a fast method for assembling loci across divergent taxa from next-generation sequencing data


All-in-one toolbox for processing of magnetic resonance spectroscopy data.

Comparison of seven modelling algorithms for γ‐aminobutyric acid–edited proton magnetic resonance spectroscopy

Importance of Linear Combination Modeling for Quantification of Glutathione and γ-Aminobutyric Acid Levels Using Hadamard-Edited Magnetic Resonance Spectroscopy

Simultaneous multi-transient linear-combination modeling of MRS data improves uncertainty estimation

Model-based frequency-and-phase correction of 1H MRS data with 2D linear-combination modeling.


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


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

Strong first order electroweak phase transition in the CP-conserving 2HDM revisited

Black-Box Data-efficient Policy Search for Robotics

MoG-VQE: Multiobjective genetic variational quantum eigensolver

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

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

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

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

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

Learning to Race through Coordinate Descent Bayesian Optimisation

International Conference on Robotics and Automation

Evolutionary strategy for inverse charge measurements of dielectric particles


Creative Commons Attribution Share Alike 4.0 International

An introduction to our Answer Set Programming tools focusing on gringo, clingo, and clasp.

Coupling Large Language Models with Logic Programming for Robust and General Reasoning from Text

plasp 3: Towards Effective ASP Planning

Theory and Practice of Logic Programming

Specifying and Verbalising Answer Set Programs in Controlled Natural Language

Guiding Robot Exploration in Reinforcement Learning via Automated Planning

Strong Equivalence of Logic Programs with Counting

Semantic Task Planning for Service Robots in Open World

Verification of Locally Tight Programs

Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer

External Behavior of a Logic Program and Verification of Refactoring

Exploiting Partial Knowledge in Declarative Domain-Specific Heuristics for ASP


An R package for adaptive shrinkage

False discovery rates: a new deal

Flexible statistical methods for estimating and testing effects in genomic studies with multiple conditions

A simple guide to de novo transcriptome assembly and annotation

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

DISSECTING TUMOR TRANSCRIPTIONAL HETEROGENEITY FROM SINGLE-CELL RNA-SEQ DATA BY GENERALIZED BINARY COVARIANCE DECOMPOSITION.

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

Genetic influences on circulating retinol and its relationship to human health

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


Ultra-fast and memory-efficient (meta-)genome assembler

MEGAHIT: An ultra-fast single-node solution for large and complex metagenomics assembly via succinct de Bruijn graph

Multi-omics reveals that the rumen microbiome and its metabolome together with the host metabolome contribute to individualized dairy cow performance

Metagenome-wide association study of gut microbiome revealed novel aetiology of rheumatoid arthritis in the Japanese population

Choice of assembly software has a critical impact on virome characterisation

Two novel venom proteins underlie divergent parasitic strategies between a generalist and a specialist parasite

Terabase-scale metagenome coassembly with MetaHipMer

Metagenomic Analysis of Antibiotic Resistance Genes in Untreated Wastewater From Three Different Hospitals

Characteristics of Microbial Community and Function With the Succession of Mangroves

Exploring the Possible Link between the Gut Microbiome and Fat Deposition in Pigs

Oxidative medicine and cellular longevity

Yak rumen microbiome elevates fiber degradation ability and alters rumen fermentation pattern to increase feed efficiency


A WebGL viewer for UMAP or TSNE-clustered images

The Newspaper Navigator Dataset Extracting Headlines and Visual Content from 16 Million Historic Newspaper Pages in Chronicling America

International Conference on Information and Knowledge Management

The Newspaper Navigator Dataset: Extracting And Analyzing Visual Content from 16 Million Historic Newspaper Pages in Chronicling America

Surprise machines: revealing Harvard Art Museums' image collection

Visualizing a Large Spatiotemporal Collection of Historic Photography with a Generous Interface


Parameterizing neural power spectra into periodic & aperiodic components.

Decomposing age effects in EEG alpha power

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

Regional healthy brain activity, glioma occurrence and symptomatology

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

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

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

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

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

Prestimulus amygdala spectral activity is associated with visual face awareness

Vestibular loss disrupts visual reactivity in the alpha EEG rhythm


First-principles statistical mechanical software for the study of multi-component crystalline solids

Machine learning materials physics: Integrable deep neural networks enable scale bridging by learning free energy functions

Computer Methods in Applied Mechanics and Engineering

Prediction of structure and cation ordering in an ordered normal-inverse double spinel

PRISMS-PF: A general framework for phase-field modeling with a matrix-free finite element method

Comparing crystal structures with symmetry and geometry

Prediction of the Al-rich part of the Al-Cu phase diagram using cluster expansion and statistical mechanics

Scale bridging materials physics: Active learning workflows and integrable deep neural networks for free energy function representations in alloys

Kinetic Monte Carlo simulations of vacancy diffusion in non-dilute Ni-X (X=Re,W,Ta) alloys

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

First-principles analysis of precipitation in Mg-Zn alloys

Unlocking the origin of compositional fluctuations in InGaN light emitting diodes


Stanford NLP Python Library for Understanding and Improving PyTorch Models via Interventions

Interpretability at Scale: Identifying Causal Mechanisms in Alpaca

RAVEL: Evaluating Interpretability Methods on Disentangling Language
  Model Representations

pyvene: A Library for Understanding and Improving PyTorch Models via
  Interventions

Unlocking the Future: Exploring Look-Ahead Planning Mechanistic Interpretability in Large Language Models


The tools of the Human Connectome Project (HCP) adapted for working with non-HCP datasets

Greater Individual Variability in Functional Brain Activity during Working Memory Performance in young people with Autism and Executive Function Impairment

Shared heritability of face and brain shape distinct from cognitive traits

A large-scale fMRI dataset for the visual processing of naturalistic scenes


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

The CALLA Dataset: Probing LLMs' Interactive Knowledge Acquisition from Chinese Medical Literature

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

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


Automated 3D brain registration with support for multiple species and atlases.

aMAP is a validated pipeline for registration and segmentation of high-resolution mouse brain data

Behavioral origin of sound-evoked activity in mouse visual cortex

BrainGlobe Atlas API: a common interface for neuroanatomical atlases

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

Learning-related congruent and incongruent changes of excitation and inhibition in distinct cortical areas

Tools for accurate post hoc determination of marker location within whole-brain microscopy images


EventStream is like functional programming meets IO

Small World with High Risks: A Study of Security Threats in the npm Ecosystem

On the impact of security vulnerabilities in the npm and RubyGems dependency networks

Security Issues in Language-based Software Ecosystems

Software supply chain: review of attacks, risk assessment strategies and security controls

Automatically Assessing and Extending Code Coverage for NPM Packages


Python library to access Gene Expression Omnibus Database (GEO)

GEOfetch: a command-line tool for downloading data and standardized metadata from GEO and SRA

GeMI: interactive interface for transformer-based Genomic Metadata Integration

Database : the journal of biological databases and curation

IL-1β Induces SOCS2 Expression in Human Dendritic Cells

International journal of molecular sciences


Kafka-ML: connecting the data stream with ML/AI frameworks (now TensorFlow and PyTorch!)

An open source framework based on Kafka-ML for Distributed DNN inference over the Cloud-to-Things continuum

OpenTwins: An open-source framework for the design, development and integration of effective 3D-IoT-AI-powered digital twins

The orchestration of Machine Learning frameworks with data streams and GPU acceleration in Kafka‐ML: A deep‐learning performance comparative


Matlab/Octave based platform for Radiological Research.

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

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

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

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

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

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

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

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

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

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

Quantitative MRI of Pancreatic Cystic Lesions: A New Diagnostic Approach


OpenMMLab optical flow toolbox and benchmark

FlowNet: Learning Optical Flow with Convolutional Networks

FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

RAFT: Recurrent All-Pairs Field Transforms for Optical Flow

LiteFlowNet: A Lightweight Convolutional Neural Network for Optical Flow Estimation

Learning to Estimate Hidden Motions with Global Motion Aggregation

Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation

MaskFlownet: Asymmetric Feature Matching with Learnable Occlusion Mask

A Lightweight Optical Flow CNN —Revisiting Data Fidelity and Regularization

PanoFlow: Learning 360° Optical Flow for Surrounding Temporal Understanding


ML has an impact on the climate. But not all models are born equal. Compute your model's emissions with our calculator and add the results to your paper with our generated latex template

Quantifying the Carbon Emissions of Machine Learning


Generation-based, context-free grammar fuzzer. Refer to https://github.com/posidron/dharma for a maintained version.

The Art, Science, and Engineering of Fuzzing: A Survey

UNIFUZZ: A Holistic and Pragmatic Metrics-Driven Platform for Evaluating Fuzzers

Augmenting Greybox Fuzzing with Generative AI

Building Fast Fuzzers

RAT: Reinforcement-Learning-Driven and Adaptive Testing for Vulnerability Discovery in Web Application Firewalls

IEEE Transactions on Dependable and Secure Computing

CorbFuzz: Checking Browser Security Policies with Fuzzing

Visual-Aware Testing and Debugging for Web Performance Optimization

Exploring the Limits of ChatGPT in Software Security Applications


A `Neural = Symbolic` framework for sound and complete weighted real-value logic

Logical Neural Networks

LNN-EL: A Neuro-Symbolic Approach to Short-text Entity Linking


Python wrapper of Android uiautomator test tool.

Fill in the Blank: Context-aware Automated Text Input Generation for Mobile GUI Testing

Make LLM a Testing Expert: Bringing Human-like Interaction to Mobile GUI Testing via Functionality-aware Decisions

Chatting with GPT-3 for Zero-Shot Human-Like Mobile Automated GUI Testing

Unblind Text Inputs: Predicting Hint-text of Text Input in Mobile Apps via LLM

Proceedings of the CHI Conference on Human Factors in Computing Systems

Large Language Models for Mobile GUI Text Input Generation: An Empirical
  Study

Vision-driven Automated Mobile GUI Testing via Multimodal Large Language
  Model


Transcriptional signature in microglia associated with Aβ plaque phagocytosis

A clinical transcriptome approach to patient stratification and therapy selection in acute myeloid leukemia

Cell-Type-Specific Gene Expression Profiling in Adult Mouse Brain Reveals Normal and Disease-State Signatures

The 10,000 Immunomes Project: Building a Resource for Human Immunology.

Imputing missing RNA-sequencing data from DNA methylation by using a transfer learning–based neural network

Core transcriptional signatures of phase change in the migratory locust

Upon microbial challenge, human neutrophils undergo rapid changes in nuclear architecture and chromatin folding to orchestrate an immediate inflammatory gene program

Inter-tissue convergence of gene expression during ageing suggests age-related loss of tissue and cellular identity

Machine learning assisted analysis of breast cancer gene expression profiles reveals novel potential prognostic biomarkers for triple-negative breast cancer

Computational and structural biotechnology journal

Loss of PRC1 activity in different stem cell compartments activates a common transcriptional program with cell type–dependent outcomes


A Testing Utility for Scratch 3.0

Automated test generation for Scratch programs

Neuroevolution-Based Generation of Tests and Oracles for Games

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering

Search-based Testing for Scratch Programs

Model-based Testing of Scratch Programs


LOFAR pipeline using killms/ddfacet

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

The LOFAR Two-metre Sky Survey

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

LOFAR/H-ATLAS: the low-frequency radio luminosity–star formation rate relation

Monthly Notices of the Royal Astronomical Society

LOFAR observations of galaxy clusters in HETDEX: Extraction and self-calibration of individual LOFAR targets

HAL (Le Centre pour la Communication Scientifique Directe)

The Beautiful Mess in Abell 2255

Remnant radio-loud AGN in the Herschel-ATLAS field

Sub-arcsecond imaging with the International LOFAR Telescope I. Foundational calibration strategy and pipeline

The population of M dwarfs observed at low radio frequencies

The Planck clusters in the LOFAR sky


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

Graph WaveNet for Deep Spatial-Temporal Graph Modeling

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

Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

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

Companion Proceedings of The 2019 World Wide Web Conference

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

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

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

A Transformer-based Framework for Multivariate Time Series Representation Learning

USAD: UnSupervised Anomaly Detection on Multivariate Time Series

DeepMove: Predicting Human Mobility with Attentional Recurrent Networks


Efficient target prediction incorporating accessibility of interaction sites

IntaRNA 2.0: enhanced and customizable prediction of RNA-RNA interactions

CopraRNA and IntaRNA: predicting small RNA targets, networks and interaction domains

SHAPE directed RNA folding

Integration of accessibility data from structure probing into RNA-RNA interaction prediction

Structure and Interaction Prediction in Prokaryotic RNA Biology

Regulating with RNA in Bacteria and Archaea

MiR-743a-5p regulates differentiation of myoblast by targeting Mob1b in skeletal muscle development and regeneration

sRNARFTarget: a fast machine-learning-based approach for transcriptome-wide sRNA target prediction

Interactive implementations of thermodynamics-based RNA structure and RNA–RNA interaction prediction approaches for example-driven teaching

IntaRNAhelix-composing RNA-RNA interactions from stable inter-molecular helices boosts bacterial sRNA target prediction.

Journal of bioinformatics and computational biology

77 Rocket-miR, a translational launchpad for miRNA-based antimicrobial drug development


Tools for air quality data analysis


Modeling with limited data

Accelerating molecular simulations of proteins using Bayesian inference on weak information

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

Binding Ensembles of p53-MDM2 Peptide Inhibitors by Combining Bayesian Inference and Atomistic Simulations

Accelerating Protein Folding Molecular Dynamics Using Inter-Residue Distances from Machine Learning Servers

Journal of chemical theory and computation


Neuroscience information exchange format

Methods for Specifying Scientific Data Standards and Modeling Relationships with Applications to Neuroscience

Workflow for health-related and brain data lifecycle

Development of the Neurodata Without Borders: Neurophysiology file format

Integrating data storage and annotation in the data workflow using the NIX format and libraries


Riemannian Adaptive Optimization Methods with pytorch optim

Geoopt: Riemannian Optimization in PyTorch

Mixed-curvature Variational Autoencoders

Graph Geometry Interaction Learning

Pseudo-Riemannian Graph Convolutional Networks

Symmetric Spaces for Graph Embeddings: A Finsler-Riemannian Approach

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

Time Series Alignment with Global Invariances

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

IEEE Geoscience and Remote Sensing Letters

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


Multi-Generator (MGEN) traffic generation tool

TNT: A Tactical Network Test Platform to Evaluate Military Systems Over Ever-Changing Scenarios

Elastic Provisioning of Network and Computing Resources at the Edge for IoT Services

AIRIC: Orchestration of Virtualized Radio Access Networks With Noisy Neighbours

X-GRL: An Empirical Assessment of Explainable GNN-DRL in B5G/6G Networks


Repository for the Georgetown University Multilayer Corpus (GUM)

Transfer Learning for Entity Recognition of Novel Classes

International Conference on Computational Linguistics

All Roads Lead to UD: Converting Stanford and Penn Parses to English Universal Dependencies with Multilayer Annotations

Semantically Constrained Multilayer Annotation: The Case of Coreference

Can we Fix the Scope for Coreference? Problems and Solutions for Benchmarks beyond OntoNotes

Bundled Gap Filling: A New Paradigm for Unambiguous Cloze Exercises

Workshop on Innovative Use of NLP for Building Educational Applications

What Causes the Failure of Explicit to Implicit Discourse Relation Recognition?


Depth-weighted De-Mixing

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

MMWR. Morbidity and mortality weekly report

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

Wastewater sequencing uncovers early, cryptic SARS-CoV-2 variant transmission

medRxiv : the preprint server for health sciences

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

Delta-Omicron recombinant escapes therapeutic antibody neutralization

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

The Lancet regional health. Southeast Asia

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

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

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


GWAS Pipeline for H3Africa

Developing reproducible bioinformatics analysis workflows for heterogeneous computing environments to support African genomics

Organizing and running bioinformatics hackathons within Africa: The H3ABioNet cloud computing experience

Genetic associations with carotid intima-media thickness link to atherosclerosis with sex-specific effects in sub-Saharan Africans

SWATH-MS based proteomic profiling of pancreatic ductal adenocarcinoma tumours reveals the interplay between the extracellular matrix and related intracellular pathways

Genome-wide association study meta-analysis of blood pressure traits and hypertension in sub-Saharan African populations: an AWI-Gen study

Genome-wide association study of population-standardised cognitive performance phenotypes in a rural South African community


Analysis of Factorial EXperiments (R package)

The hippocampus and orbitofrontal cortex jointly represent task structure during memory-guided decision making

Rapid Estimation of Gustatory Sensitivity Thresholds with SIAM and QUEST

Changes in the language system as amyloid-β accumulates

Development of Quantitative and Temporal Scalar Implicatures in a Felicity Judgment Task

Risk factor analysis for beef calves requiring assisted vaginal delivery in Great Britain.

Side Effects of Insecticides on Leaf-Miners and Gall-Inducers Depend on Species Ecological Traits and Competition with Leaf-Chewers

Aging impacts memory for perceptual, but not narrative, event details

Learning & memory (Cold Spring Harbor, N.Y.)

Segmental and suprasegmental encoding of speaker confidence in Wuxi dialect vowels


Fast and accurate DRAM power and energy estimation tool

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

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

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

EXMA: A Genomics Accelerator for Exact-Matching

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

Improving DRAM Performance, Security, and Reliability by Understanding and Exploiting DRAM Timing Parameter Margins

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

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


Annotates variants in MAF with OncoKB annotation.

Trastuzumab deruxtecan in metastatic breast cancer with variable HER2 expression: the phase 2 DAISY trial

Interpretable deep learning of label-free live cell images uncovers functional hallmarks of highly-metastatic melanoma

SMAD4 is critical in suppression of BRAF-V600E serrated tumorigenesis

High Concordance of Genomic Profiles between Primary and Metastatic Colorectal Cancer

International journal of molecular sciences

Respiratory complex and tissue lineage drive mutational patterns in the tumor mitochondrial genome

Mutational landscape and potential therapeutic targets for sporadic pancreatic neuroendocrine tumors based on target next-generation sequencing

Genomic characterization of intracranial teratomas using whole genome sequencing


Python package for the evaluation of odometry and SLAM

Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping

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

Recurrent Neural Network for (Un-)supervised Learning of Monocular VideoVisual Odometry and Depth

Towards High-Performance Solid-State-LiDAR-Inertial Odometry and Mapping

International Conference on Robotics and Automation

LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments

Super Odometry: IMU-centric LiDAR-Visual-Inertial Estimator for Challenging Environments

M2DGR: A Multi-Sensor and Multi-Scenario SLAM Dataset for Ground Robots

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

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

Visual and Visual-Inertial SLAM: State of the Art, Classification, and Experimental Benchmarking

Zenodo (CERN European Organization for Nuclear Research)


COIN-OR Interior Point Optimizer IPOPT

Towards Fully Autonomous UAVs: A Survey

Complete results for a numerical evaluation of interior point solvers for large-scale optimal power flow problems.

Multi-player Equilibria Verification for Concurrent Stochastic Games

Higher-order moment portfolio optimization via difference-of-convex programming and sums-of-squares

Discrete Dynamical System Approaches for Boolean Polynomial Optimization

False Data Injection Attack Against Power System Small-Signal Stability

Practical isogeometric shape optimization: parametrization by means of regularization

Journal of Computational Design and Engineering

Correlated Equilibria and Fairness in Concurrent Stochastic Games

Probabilistic Model Checking for Strategic Equilibria-based Decision Making: Advances and Challenges

Versatile Dynamic Motion Generation Framework: Demonstration With a Crutch-Less Exoskeleton on Real-Life Obstacles at the Cybathlon 2020 With a Complete Paraplegic Person


CamOdoCal: Automatic Intrinsic and Extrinsic Calibration of a Rig with Multiple Generic Cameras and Odometry

The Multivehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perception

3D Visual Perception for Self-Driving Cars using a Multi-Camera System: Calibration, Mapping, Localization, and Obstacle Detection

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


Black-box Optimizer based on Bayesian Optimization

OpenBox: A Generalized Black-box Optimization Service

πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian Optimization

Bayesian Optimization with a Prior for the Optimum

c-TPE: Tree-structured Parzen Estimator with Inequality Constraints for Expensive Hyperparameter Optimization

Prior-guided Bayesian Optimization

HypBO: Expert-Guided Chemist-in-the-Loop Bayesian Search for New Materials


The HOL Light theorem prover

Formalization of Transform Methods using HOL Light

Formal Analysis of Robotic Cell Injection Systems using Theorem Proving

Formalization of Lerch's Theorem using HOL Light

Safe, fast, concurrent proof checking for the lambda-pi calculus modulo rewriting

Proceedings of the 11th ACM SIGPLAN International Conference on Certified Programs and Proofs

A formal proof of modal completeness for provability logic

Formalising Mathematics In Simple Type Theory

Distant decimals of π

HOL Light QE

The Space of Mathematical Software Systems -- A Survey of Paradigmatic Systems

Formal Modeling of Robotic Cell Injection Systems in Higher-order Logic


R package for "sum of single effects" regression.

A simple new approach to variable selection in regression, with application to genetic fine-mapping

The whole blood transcriptional regulation landscape in 465 COVID-19 infected samples from Japan COVID-19 Task Force

Large Bi-Ethnic Study of Plasma Proteome Leads to Comprehensive Mapping of cis-pQTL and Models for Proteome-wide Association Studies

3D genome organization links non-coding disease-associated variants to genes

Frontiers in cell and developmental biology

Genome‐wide meta‐analysis and fine‐mapping prioritize potential causal variants and genes related to leprosy

A multi-ancestry GWAS of Fuchs corneal dystrophy highlights the contributions of laminins, collagen, and endothelial cell regulation

Deletion mapping of regulatory elements for GATA3 reveals a distal T helper 2 cell enhancer involved in allergic diseases

Genetic control of body weight by the human brain proteome


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

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

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

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

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

StructuralLM: Structural Pre-training for Form Understanding

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

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

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

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

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

Parameter-Efficient Sparsity for Large Language Models Fine-Tuning


Individual tree point clouds and tree measurements from multi-platform laser scanning in German forests

Virtual laser scanning with HELIOS++: A novel take on ray tracing-based simulation of topographic 3D laser scanning


3D U-Net model for volumetric semantic segmentation written in pytorch

Squeeze-and-Excitation Networks

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

Вестник компьютерных и информационных технологий

Generalised Dice overlap as a deep learning loss function for highly unbalanced segmentations

Superhuman Accuracy on the SNEMI3D Connectomics Challenge

Spatially Varying Label Smoothing: Capturing Uncertainty from Expert Annotations

Memory Optimization for Deep Networks

MulViMotion: Shape-Aware 3D Myocardial Motion Tracking From Multi-View Cardiac MRI

3D FLAT: Feasible Learned Acquisition Trajectories for Accelerated MRI

Mesh-based 3D Motion Tracking in Cardiac MRI using Deep Learning

3D Molecular Generation via Virtual Dynamics


R package for analyzing and interactively exploring large-scale single-cell RNA-seq datasets

Integrative single-cell analysis of transcriptional and epigenetic states in the human adult brain

High-throughput sequencing of the transcriptome and chromatin accessibility in the same cell

Host-Viral Infection Maps Reveal Signatures of Severe COVID-19 Patients

Single-cell analysis uncovers fibroblast heterogeneity and criteria for fibroblast and mural cell identification and discrimination

Best practices for single-cell analysis across modalities

Unravelling Intratumoral Heterogeneity through High-Sensitivity Single-Cell Mutational Analysis and Parallel RNA Sequencing

The Neonatal and Adult Human Testis Defined at the Single-Cell Level

SARS-CoV-2 Receptors and Entry Genes Are Expressed in the Human Olfactory Neuroepithelium and Brain

Integration of spatial and single-cell transcriptomics localizes epithelial cell–immune cross-talk in kidney injury

Reconstruction of the Global Neural Crest Gene Regulatory Network In Vivo


Half Field Offense in Robocup 2D Soccer

Deep Reinforcement Learning in Parameterized Action Space

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space

Situational Awareness by Risk-Conscious Skills

A survey of benchmarking frameworks for reinforcement learning

Curriculum Learning with a Progression Function

Situationally Aware Options

Deep Reinforcement Learning for Autonomous Cyber Operations: A Survey


Provide Semantic Parsing solutions and Natural Language Inferences for multiple languages following the idea of the syntax-semantics interface.

Higher-order logical inference with compositional semantics

Empirical Methods in Natural Language Processing

ccg2lambda: A Compositional Semantics System

PROCEEDINGS OF 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL-2016): SYSTEM DEMONSTRATIONS

On-demand Injection of Lexical Knowledge for Recognising Textual Entailment

Conference of the European Chapter of the Association for Computational Linguistics

Acquisition of Phrase Correspondences using Natural Deduction Proofs

Building compositional semantics and higher-order inference system for a wide-coverage Japanese CCG parser

Logical Inferences with Comparatives and Generalized Quantifiers

Combining Axiom Injection and Knowledge Base Completion for Efficient Natural Language Inference

Visual Denotations for Recognizing Textual Entailment

Determining Semantic Textual Similarity using Natural Deduction Proofs

Neural sentence generation from formal semantics

International Conference on Natural Language Generation


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


A captcha library that generates audio and image CAPTCHAs.

Deep-CAPTCHA: A Deep Learning Based CAPTCHA Solver for Vulnerability Assessment

Using Domain Adversarial Learning for Text Captchas Recognition

Труды Института системного программирования РАН

Vulnerability Analysis for Captchas Using Deep Learning


Intratumoural Heterogeneity Underlies Distinct Therapy Responses and Treatment Resistance in Glioblastoma

Efficient detection and monitoring of pediatric brain malignancies with liquid biopsy based on patient-specific somatic mutation screening

qmotif: determination of telomere content from whole-genome sequence data

Computer Architecture-Aware Optimisation of DNA Analysis Systems


A Simple and Versatile Framework for Object Detection and Instance Recognition

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

Feature Pyramid Networks for Object Detection

Scale-Aware Trident Networks for Object Detection

Detection in Crowded Scenes: One Proposal, Multiple Predictions

SimpleDet: A Simple and Versatile Distributed Framework for Object Detection and Instance Recognition


R package for visualizing complex and multi-track 1D and 2D genomic data in GenomicRanges framework

Structural variant evolution after telomere crisis

Most large structural variants in cancer genomes can be detected without long reads

Long-molecule scars of backup DNA repair in BRCA1- and BRCA2-deficient cancers

Enhancer hijacking determines intra- and extrachromosomal circular MYCN amplicon architecture in neuroblastoma

3D genomic analysis reveals novel enhancer-hijacking caused by complex structural alterations that drive oncogene overexpression

bioRxiv : the preprint server for biology


A Django project that powers the backend of Terraso platform.


Generating Oceananigans large eddy simulation (LES) data for calibrating parameterizations


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


Multiblob method for rigid bodies

Hydrodynamics of suspensions of passive and active rigid particles: a rigid multiblob approach

Communications in Applied Mathematics and Computational Science

Brownian dynamics of confined rigid bodies

An Immersed Boundary method with divergence-free velocity interpolation and force spreading

Large Scale Brownian Dynamics of Confined Suspensions of Rigid Particles

Brownian dynamics of confined suspensions of active microrollers

Driven dynamics in dense suspensions of microrollers

A fluctuating boundary integral method for Brownian suspensions

Brownian dynamics of fully confined suspensions of rigid particles without Green's functions.

Hydrodynamic fluctuations in quasi-two dimensional diffusion

Journal of Statistical Mechanics: Theory and Experiment

Computing hydrodynamic interactions in confined doubly periodic geometries in linear time.


a CLI that provides a generic automation layer for assessing the security of ML models

Towards a multi-stakeholder value-based assessment framework for algorithmic systems

Conference on Fairness, Accountability and Transparency

Secml-Malware: Pentesting Windows Malware Classifiers with Adversarial Exemples in Python

Exploring Naming Conventions (and Defects) of Pre-trained Deep Learning Models in Hugging Face and Other Model Hubs

AI Security Threats against Pervasive Robotic Systems: A Course for Next Generation Cybersecurity Workforce


Static Analyzer and Verifier

Template-Based Verification of Heap-Manipulating Programs

PROCEEDINGS OF THE 2018 18TH CONFERENCE ON FORMAL METHODS IN COMPUTER AIDED DESIGN (FMCAD)

Benchmarking Software Model Checkers on Automotive Code

2LS: Heap Analysis and Memory Safety (Competition Contribution)

2LS: Heap Analysis and Memory Safety

Tools and Algorithms for Construction and Analysis of Systems

2LS for Program Analysis

PROGRAMMING LANGUAGES AND SYSTEMS, APLAS 2021

Proving LTL Properties of Bitvector Programs and Decompiled Binaries (Extended)


Julia package to compute trap-assisted electron and hole capture in semiconductors

Upper limit to the photovoltaic efficiency of imperfect crystals from first principles

Importance of surface oxygen vacancies for ultrafast hot carrier relaxation and transport in Cu_2O


SimMobility production repository

An integrated microsimulation approach to land-use and mobility modeling

Assignment of a Synthetic Population for Activity-Based Modeling Employing Publicly Available Data

ISPRS International Journal of Geo-Information

A Bayesian Optimization Approach for Calibrating Large-Scale Activity-Based Transport Models


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

Improving Prediction-Based Lossy Compression Dramatically via Ratio-Quality Modeling

Accelerating Parallel Write via Deeply Integrating Predictive Lossy Compression with HDF5


phyloseq is a set of classes, wrappers, and tools (in R) to make it easier to import, store, and analyze phylogenetic sequencing data; and to reproducibly share that data and analysis with others. See the phyloseq front page:

phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data

Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible

Dynamics of the human gut microbiome in inflammatory bowel disease

Gastrointestinal microbial community changes in Atlantic cod (Gadus morhua) exposed to crude oil

Microbial co-occurrence complicates associations of gut microbiome with US immigration, dietary intake and obesity

Rhizobacteria Communities of Phytoremediation Plant Species in Petroleum Hydrocarbon Contaminated Soil of the Sudd Ecosystem, South Sudan

The Microbiota and Abundance of the Class 1 Integron-Integrase Gene in Tropical Sewage Treatment Plant Influent and Activated Sludge

Children and adolescents with attention deficit hyperactivity disorder and autism spectrum disorder share distinct microbiota compositions

Lifelong dietary omega-3 fatty acid suppresses thrombotic potential through gut microbiota alteration in aged mice

Mobility of β-Lactam Resistance Under Bacterial Co-infection and Ampicillin Treatment in a Mouse Model


Open Scripts and pipelines from the Multimodal Imaging and Connectome Analysis Lab at the Montreal Neurological Institute

Microstructural and functional gradients are increasingly dissociated in transmodal cortices

Anatomical and microstructural determinants of hippocampal subfield functional connectome embedding

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

Shifts in myeloarchitecture characterise adolescent development of cortical gradients.

A multi-scale cortical wiring space links cellular architecture and functional dynamics in the human brain

An expanding manifold in transmodal regions characterizes adolescent reconfiguration of structural connectome organization

Convergence of cortical types and functional motifs in the human mesiotemporal lobe

Targeting age‐related differences in brain and cognition with multimodal imaging and connectome topography profiling

Personality and local brain structure: Their shared genetic basis and reproducibility

Structural Connectivity Gradients of the Temporal Lobe Serve as Multiscale Axes of Brain Organization and Cortical Evolution

Atypical intrinsic neural timescales in temporal lobe epilepsy


This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform.

A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware

NxTF: An API and Compiler for Deep Spiking Neural Networks on Intel Loihi

Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern Recognition on Neuromorphic Hardware

Static Hand Gesture Recognition for American Sign Language using Neuromorphic Hardware


Fast transit light curves models in Python.

batman: BAsic Transit Model cAlculatioN in Python

Publications of the Astronomical Society of the Pacific

Helium in the eroding atmosphere of an exoplanet

Phase Curves of WASP-33b and HD 149026b and a New Correlation between Phase Curve Offset and Irradiation Temperature

K2-136: A Binary System in the Hyades Cluster Hosting a Neptune-sized Planet

A broadband thermal emission spectrum of the ultra-hot Jupiter WASP-18b

The discovery of WASP-151b, WASP-153b, WASP-156b: Insights on giant planet migration and the upper boundary of the Neptunian desert

Atmospheric Reconnaissance of TRAPPIST-1 b with JWST/NIRISS: Evidence for Strong Stellar Contamination in the Transmission Spectra

The Hubble PanCET Program: A Metal-rich Atmosphere for the Inflated Hot Jupiter HAT-P-41b

Revisiting the HIP 41378 System with K2 and Spitzer

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

Monthly Notices of the Royal Astronomical Society


Datasets, code and virtual workspace for the Climate Change ATLAS

An update of IPCC climate reference regions for subcontinental analysis of climate model data: definition and aggregated datasets

On the need of bias adjustment for more plausible climate change projections of extreme heat


Modern spell checking library - accurate, fast, multi-language

Automated Essay Scoring based on Two-Stage Learning

Learning to combine Grammatical Error Corrections

Neural and FST-based approaches to grammatical error correction

Workshop on Innovative Use of NLP for Building Educational Applications

A Methodology for Generative Spelling Correction via Natural Spelling Errors Emulation across Multiple Domains and Languages


Scientific Computational Imaging COde

Diffusion Posterior Sampling for General Noisy Inverse Problems

Plug-and-Play Methods for Integrating Physical and Learned Models in Computational Imaging: Theory, algorithms, and applications

Direct Diffusion Bridge using Data Consistency for Inverse Problems

Prompt-tuning latent diffusion models for inverse problems


An Efficient RML-Compliant Engine for Knowledge Graph Construction

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

International Conference on Information and Knowledge Management

Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data Sources

FakeKG: A Knowledge Graph of Fake Claims for Improving Automated Fact-Checking (Student Abstract)

Proceedings of the AAAI Conference on Artificial Intelligence

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

Dragoman: Efficiently Evaluating Declarative Mapping Languages over Frameworks for Knowledge Graph Creation


A large-scale benchmark and learning environment.

RLBench: The Robot Learning Benchmark & Learning Environment

Perceiver-Actor: A Multi-Task Transformer for Robotic Manipulation

Rearrangement: A Challenge for Embodied AI

Reinforcement Learning with Action-Free Pre-Training from Videos

Instruction-driven history-aware policies for robotic manipulations

Instruction-Following Agents with Multimodal Transformer

PolarNet: 3D Point Clouds for Language-Guided Robotic Manipulation

A Universal Semantic-Geometric Representation for Robotic Manipulation


Code for the paper "Language Models are Unsupervised Multitask Learners"

Multitask Prompted Training Enables Zero-Shot Task Generalization

RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models

Leveraging Pre-trained Checkpoints for Sequence Generation Tasks

A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT

True Few-Shot Learning with Language Models

A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation

Artificial Intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry

Towards Making the Most of BERT in Neural Machine Translation

Fake news detection based on news content and social contexts: a transformer-based approach

International Journal of Data Science and Analytics


Pipeline to find aberrant events in RNA-Seq data, useful for diagnosis of rare disorders

Diagnostic potential of the amniotic fluid cells transcriptome in deciphering mendelian disease: a proof-of-concept

Gene expression and splicing counts from the Yepez, Gusic et al study - non strand-specific

Zenodo (CERN European Organization for Nuclear Research)

Gene expression and splicing counts from the Yepez, Gusic et al study - strand-specific


LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.

LibFewShot: A Comprehensive Library for Few-Shot Learning

Does Few-shot Learning Suffer from Backdoor Attacks?


Python implementation of the rulefit algorithm

Generalized Linear Rule Models

Rule Extraction in Unsupervised Anomaly Detection for Model Explainability: Application to OneClass SVM

Generating Explainable Rule Sets from Tree-Ensemble Learning Methods by Answer Set Programming

FIRE: An Optimization Approach for Fast Interpretable Rule Extraction

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

HiPaR: Hierarchical Pattern-aided Regression

SIBILA: A novel interpretable ensemble of general-purpose machine learning models applied to medical contexts


Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

TinyBERT: Distilling BERT for Natural Language Understanding

DynaBERT: Dynamic BERT with Adaptive Width and Depth

BinaryBERT: Pushing the Limit of BERT Quantization

TernaryBERT: Distillation-aware Ultra-low Bit BERT

Structured Pruning Learns Compact and Accurate Models

BiBERT: Accurate Fully Binarized BERT

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression

FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning

MixKD: Towards Efficient Distillation of Large-scale Language Models

AutoTinyBERT: Automatic Hyper-parameter Optimization for Efficient Pre-trained Language Models


A bare-bones Python library for quality diversity optimization.

Covariance matrix adaptation for the rapid illumination of behavior space

Genetic and Evolutionary Computation Conference

Quality-Diversity Optimization: a novel branch of stochastic optimization

Differentiable Quality Diversity

Approximating Gradients for Differentiable Quality Diversity in Reinforcement Learning

Illuminating Diverse Neural Cellular Automata for Level Generation

pyribs: A Bare-Bones Python Library for Quality Diversity Optimization

Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains

QDax: A Library for Quality-Diversity and Population-based Algorithms with Hardware Acceleration

Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing


mor1kx - an OpenRISC 1000 processor IP core

HyPFuzz: Formal-Assisted Processor Fuzzing

LLM4SecHW: Leveraging Domain-Specific Large Language Model for Hardware Debugging

Asian Hardware-Oriented Security and Trust Symposium

Combining processing throughput, low latency and timing accuracy in experiment control


Accurate Species TRee ALgorithm

ASTRAL-III: polynomial time species tree reconstruction from partially resolved gene trees

ASTRAL: genome-scale coalescent-based species tree estimation

ASTRAL-II: coalescent-based species tree estimation with many hundreds of taxa and thousands of genes

Fast Coalescent-Based Computation of Local Branch Support from Quartet Frequencies

The Interrelationships of Land Plants and the Nature of the Ancestral Embryophyte

Evaluating Summary Methods for Multilocus Species Tree Estimation in the Presence of Incomplete Lineage Sorting.

TreeShrink: fast and accurate detection of outlier long branches in collections of phylogenetic trees

To include or not to include: The impact of gene filtering on species tree estimation methods

A comparative study of SVDquartets and other coalescent-based species tree estimation methods

ASTRAL-Pro: Quartet-Based Species-Tree Inference despite Paralogy


Collection of library stubs for Python, with static types

Vamsa: Automated Provenance Tracking in Data Science Scripts

PyART: Python API Recommendation in Real-Time

Static inference meets deep learning

Proceedings of the 44th International Conference on Software Engineering

Collective Intelligence for Smarter API Recommendations in Python

PYInfer: Deep Learning Semantic Type Inference for Python Variables

Gradual Soundness: Lessons from Static Python

DLTPy: Deep Learning Type Inference of Python Function Signatures using Natural Language Context


A PowerModels.jl Extension Package for Exploratory Work

PowerModels.jl: An Open-Source Framework for Exploring Power Flow Formulations


You can find the website of NuPyCEE at

Neutron Star Mergers Might not be the Only Source of r-Process Elements
  in the Milky Way

The Impact of Modeling Assumptions in Galactic Chemical Evolution Models

Advanced LIGO Constraints on Neutron Star Mergers and r-process Sites

UNCERTAINTIES IN GALACTIC CHEMICAL EVOLUTION MODELS

Validating Semi-analytic Models of High-redshift Galaxy Formation Using Radiation Hydrodynamical Simulations

Galactic Chemical Evolution of Radioactive Isotopes

SYGMA: Stellar Yields for Galactic Modeling Applications

The Astrophysical Journal Supplement Series

Mass and metallicity requirement in stellar models for galactic chemical evolution applications

Chemical evolution of elliptical galaxies with a variable IMF

Observing the metal-poor solar neighbourhood: a comparison of galactic chemical evolution predictions*†


Reinforcement learning algorithms for robot control tasks

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

Addressing Function Approximation Error in Actor-Critic Methods

Soft Actor-Critic Algorithms and Applications

Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards


The image prompt adapter is designed to enable a pretrained text-to-image diffusion model to generate images with image prompt.

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

The Chosen One: Consistent Characters in Text-to-Image Diffusion Models

Trajectory Consistency Distillation: Improved Latent Consistency
  Distillation by Semi-Linear Consistency Function with Trajectory Mapping

Arc2Face: A Foundation Model for ID-Consistent Human Faces


A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

WILDS: A Benchmark of in-the-Wild Distribution Shifts

Model-Based Domain Generalization

Mandoline: Model Evaluation under Distribution Shift

Focus on the Common Good: Group Distributional Robustness Follows

Towards Federated Foundation Models: Scalable Dataset Pipelines for Group-Structured Learning

The Impact of Differential Privacy on Group Disparity Mitigation

Empirical Study on Optimizer Selection for Out-of-Distribution Generalization

Distribution-Free Statistical Dispersion Control for Societal Applications

Gated Domain Units for Multi-source Domain Generalization

Robustness, Evaluation and Adaptation of Machine Learning Models in the Wild