Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

Exploring the Limits of Out-of-Distribution Detection

Knowledge distillation: A good teacher is patient and consistent

On the Importance of Gradients for Detecting Distributional Shifts in the Wild

DICE: Leveraging Sparsification for Out-of-Distribution Detection

The Deep Bootstrap Framework: Good Online Learners are Good Offline Generalizers

Supervised Transfer Learning at Scale for Medical Imaging

Robust and Efficient Medical Imaging with Self-Supervision

Deep learning models for histologic grading of breast cancer and association with disease prognosis

Active Learning Helps Pretrained Models Learn the Intended Task


Code of the Unsupervised Traffic Accident Detection paper in Pytorch.

Unsupervised Traffic Accident Detection in First-Person Videos

Egocentric Vision-based Future Vehicle Localization for Intelligent Driving Assistance Systems

When, Where, and What? A New Dataset for Anomaly Detection in Driving Videos

Vision-Based Traffic Accident Detection and Anticipation: A Survey


A drag-and-drop quantum circuit simulator that runs in your browser. A toy for exploring and understanding small quantum circuits.

Open source software in quantum computing

Factoring with n+2 clean qubits and n-1 dirty qubits

Visualizing quantum mechanics in an interactive simulation – Virtual Lab by Quantum Flytrap

Optical Engineering: The Journal of SPIE

VENUS: A Geometrical Representation for Quantum State Visualization

Secure quantum computing for healthcare sector: A short analysis

: A Cross-Platform Programming Framework for Quantum-Accelerated Scientific Computing

VACSEN: A Visualization Approach for Noise Awareness in Quantum Computing

High-performance computing and computational intelligence applications with a multi-chaos perspective

Multi-Chaos, Fractal and Multi-Fractional Artificial Intelligence of Different Complex Systems

Playing with a Quantum Computer


Fast & scalable Gaussian Processes in one dimension

Analysis of Early Science observations with the CHaracterising ExOPlanets Satellite (CHEOPS) using pycheops

Spi-OPS: Spitzer and CHEOPS confirm the near-polar orbit of MASCARA-1 b and reveal a hint of dayside reflection

Statistical Methods for Exoplanet Detection with Radial Velocities

Annual Review of Statistics and Its Application

Photometric detection of internal gravity waves in upper main-sequence stars. III. Comparison of amplitude spectrum fitting and Gaussian process regression using celerite2

Discovering planets with PLATO: Comparison of algorithms for stellar activity filtering


Improved version of DBow2

A LiDAR/Visual SLAM Backend with Loop Closure Detection and Graph Optimization

Panoramic annular SLAM with loop closure and global optimization

Visual Features Assisted Robot Localization in Symmetrical Environment Using Laser SLAM

OpenMPR: Recognize places using multimodal data for people with visual impairments

NYU-VPR: Long-Term Visual Place Recognition Benchmark with View Direction and Data Anonymization Influences

Integrating Sparse Learning-Based Feature Detectors into Simultaneous Localization and Mapping—A Benchmark Study

Lightweight Object-level Topological Semantic Mapping and Long-term Global Localization based on Graph Matching


An open-source audio wake word (or phrase) detection framework with a focus on performance and simplicity.

Speech Model Pre-training for End-to-End Spoken Language Understanding

Training Keyword Spotters with Limited and Synthesized Speech Data

Using Speech Synthesis to Train End-to-End Spoken Language Understanding Models


Structural variation and indel detection by local assembly

SvABA: genome-wide detection of structural variants and indels by local assembly

Genomic aberrations after short-term exposure to colibactin-producing E. coli transform primary colon epithelial cells

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


:scissors: :zap: Rapid haploid variant calling and core genome alignment

Multidrug-Resistant Enterobacter cloacae Complex Emerging as a Global, Diversifying Threat

Hybrid assembly of an agricultural slurry virome reveals a diverse and stable community with the potential to alter the metabolism and virulence of veterinary pathogens

Prospective Whole-Genome Sequencing Enhances National Surveillance of Listeria monocytogenes

Genomic Analysis of Hospital Plumbing Reveals Diverse Reservoir of Bacterial Plasmids Conferring Carbapenem Resistance

Unexpected high prevalence of resistance-associated Rv0678 variants in MDR-TB patients without documented prior use of clofazimine or bedaquiline

The Journal of antimicrobial chemotherapy

Discovery of MRSA active antibiotics using primary sequence from the human microbiome

Mutation rate of SARS-CoV-2 and emergence of mutators during experimental evolution

Global expansion of Mycobacterium tuberculosis lineage 4 shaped by colonial migration and local adaptation

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

Multiple approaches for massively parallel sequencing of SARS-CoV-2 genomes directly from clinical samples


Image restoration with neural networks but without learning.

Deep Image Prior

International Journal of Computer Vision

Untrained Neural Network Priors for Inverse Imaging Problems: A Survey

IEEE transactions on pattern analysis and machine intelligence

Early Stopping for Deep Image Prior

NAS-DIP: Learning Deep Image Prior with Neural Architecture Search

Deep Long Audio Inpainting

PatchNR: learning from very few images by patch normalizing flow regularization

Rank Overspecified Robust Matrix Recovery: Subgradient Method and Exact Recovery

Deep Gaussian Markov Random Fields

Self-Validation: Early Stopping for Single-Instance Deep Generative Priors

WPPNets and WPPFlows: The Power of Wasserstein Patch Priors for Superresolution


Official implementation of CVPR2020 paper "VIBE: Video Inference for Human Body Pose and Shape Estimation"

Recent Advances in Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective

SmoothNet: A Plug-and-Play Network for Refining Human Poses in Videos

Video-Based Pose Estimation for Gait Analysis in Stroke Survivors during Clinical Assessments: A Proof-of-Concept Study

Playing for 3D Human Recovery


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

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

Lasing at K Points of a Honeycomb Plasmonic Lattice.

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

Local field enhancement: comparing self-similar and dimer nanoantennas

Accurate Truncations of Chain Mapping Models for Open Quantum Systems

The emergence of macroscopic currents in photoconductive sampling of optical fields

Multiple scattering expansion for dielectric media: Casimir effect

Electromagnetic Casimir energy of a disk opposite a plane

Quantum trapping and rotational self-alignment in triangular Casimir microcavities

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


Relax! Flux is the ML library that doesn't make you tensor

PyTorch: An Imperative Style, High-Performance Deep Learning Library

Surgical Data Science -- from Concepts toward Clinical Translation

Fashionable Modelling with Flux

Deep learning in electron microscopy

Machine Learning: Science and Technology

Julia language in machine learning: Algorithms, applications, and open issues

Learning with Combinatorial Optimization Layers: a Probabilistic Approach

Automatic Full Compilation of Julia Programs and ML Models to Cloud TPUs

Using scientific machine learning for experimental bifurcation analysis of dynamic systems

AbstractDifferentiation.jl: Backend-Agnostic Differentiable Programming in Julia

Automatic Differentiation using Constraint Handling Rules in Prolog


Open Network Operating System

A survey on data plane programming with P4: Fundamentals, advances, and applied research

An Effective Hierarchical Control Plane for Software-Defined Networks Leveraging TOPSIS for End-to-End QoS Class-Mapping

QoS improvement with an optimum controller selection for software-defined networks

A Novel Scheme for Controller Selection in Software-Defined Internet-of-Things (SD-IoT)

Towards Automated Generation of Smart Grid Cyber Range for Cybersecurity Experiments and Training

Reliable optical networks with ODTN, resiliency and failover in data plane and control plane

Zenodo (CERN European Organization for Nuclear Research)

Checking-in on Network Functions

Proceedings of the Applied Networking Research Workshop


Short Read Sequence Typing for Bacterial Pathogens

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

Whole genome sequencing in clinical and public health microbiology

Genomic Analysis of the Emergence and Rapid Global Dissemination of the Clonal Group 258 Klebsiella pneumoniae Pandemic

In silico serotyping of E. coli from short read data identifies limited novel O-loci but extensive diversity of O:H serotype combinations within and between pathogenic lineages

Dynamics of antimicrobial resistance in intestinal Escherichia coli from children in community settings in South Asia and sub-Saharan Africa

Diversity-Generating Machines: Genetics of Bacterial Sugar-Coating

SSTAR, a Stand-Alone Easy-To-Use Antimicrobial Resistance Gene Predictor

Resistance mechanisms and population structure of highly drug resistant Klebsiella in Pakistan during the introduction of the carbapenemase NDM-1

Systematic Evaluation of Whole Genome Sequence-Based Predictions of Salmonella Serotype and Antimicrobial Resistance

Population Structure and Antimicrobial Resistance of Invasive Serotype IV Group B Streptococcus, Toronto, Ontario, Canada


MiNA (Mitochondrial Network Analysis) is a project aimed at making the analysis and characterization of mitochondrial network morphology more accurate, faster, and objective. This project currently consists of a set of Python scripts (and JAVA for the user interface) for the Fiji distribution of ImageJ.

Microbial BMAA elicits mitochondrial dysfunction, innate immunity activation, and Alzheimer’s disease features in cortical neurons

Loss of epitranscriptomic control of selenocysteine utilization engages senescence and mitochondrial reprogramming

Drp1-mediated mitochondrial fission regulates calcium and F-actin dynamics during wound healing

Depletion of oocyte dynamin-related protein 1 shows maternal-effect abnormalities in embryonic development

Reduced expression of Paternally Expressed Gene-3 enhances somatic cell reprogramming through mitochondrial activity perturbation

Sidestream Smoke Extracts from Harm-Reduction and Conventional Camel Cigarettes Inhibit Osteogenic Differentiation via Oxidative Stress and Differential Activation of intrinsic Apoptotic Pathways

Trimetazidine Improves Mitochondrial Dysfunction in SOD1G93A Cellular Models of Amyotrophic Lateral Sclerosis through Autophagy Activation

International journal of molecular sciences

Study of an FBXO7 patient mutation reveals Fbxo7 and PI31 co‐regulate proteasomes and mitochondria


chromatin Variability Across Regions (of the genome!)

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

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

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

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

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


The official PyTorch implementation of the paper "Human Motion Diffusion Model"

Human Motion Diffusion Model

DiffCollage: Parallel Generation of Large Content with Diffusion Models

Move as You Say, Interact as You Can: Language-guided Human Motion
  Generation with Scene Affordance

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions

Don't be so negative! Score-based Generative Modeling with Oracle-assisted Guidance


MOSS-RLHF

A Survey of Large Language Models

Secrets of RLHF in Large Language Models Part I: PPO

Secrets of RLHF in Large Language Models Part II: Reward Modeling

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


MCEdit, Minecraft World Editor 1.0 - no longer developed. See website for version 2.0

Generative Design in Minecraft (GDMC), Settlement Generation Competition

The AI Settlement Generation Challenge in Minecraft: First Year Report

Comparing PCG metrics with Human Evaluation in Minecraft Settlement Generation

Impressions of the GDMC AI Settlement Generation Challenge in Minecraft


A quality control analysis tool for high throughput sequencing data

Maternal gut and breast milk microbiota affect infant gut antibiotic resistome and mobile genetic elements

METTL1 Promotes let-7 MicroRNA Processing via m7G Methylation

The structure, function, and evolution of a complete human chromosome 8

Best practices for bioinformatic characterization of neoantigens for clinical utility

ASA3P: An automatic and scalable pipeline for the assembly, annotation and higher-level analysis of closely related bacterial isolates

Impact of investigational microbiota therapeutic RBX2660 on the gut microbiome and resistome revealed by a placebo-controlled clinical trial

A transcriptomic atlas of Aedes aegypti reveals detailed functional organization of major body parts and gut regional specializations in sugar-fed and blood-fed adult females

A growth factor–expressing macrophage subpopulation orchestrates regenerative inflammation via GDF-15

A comparative analysis of drinking water employing metagenomics

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


Python Pushshift.io API Wrapper (for comment/submission search)

Joint Rumour Stance and Veracity Prediction

Proceedings of the  Conference for Truth and Trust Online 2019

Exploring Online Depression Forums via Text Mining: A Comparison of Reddit and a Curated Online Forum

Benefits and concerns of seeking and experiencing lucid dreams: benefits are tied to successful induction and dream control

Sleep advances : a journal of the Sleep Research Society

Exploring usability of Reddit in data science and knowledge processing

Offence in Dialogues: A Corpus-Based Study

Recent Advances in Natural Language Processing

Surveillance of COVID-19 Pandemic using Social Media: A Reddit Study in North Carolina

Danish Stance Classification and Rumour Resolution

Reddit-TUDFE: practical tool to explore Reddit usability in data science and knowledge processing.

No, you’re not alone: A better way to find people with similar experiences on Reddit

Empirical Methods in Natural Language Processing

Analysis of Chronic Pain Experiences Based on Online Reports: the RRCP Dataset.


Official code base of the BEVDet series .

BEVDet: High-performance Multi-camera 3D Object Detection in Bird-Eye-View

BEVDet4D: Exploit Temporal Cues in Multi-camera 3D Object Detection

BEVPoolv2: A Cutting-edge Implementation of BEVDet Toward Deployment

FlashOcc: Fast and Memory-Efficient Occupancy Prediction via Channel-to-Height Plugin

RoboBEV: Towards Robust Bird's Eye View Perception under Corruptions

Are We Ready for Vision-Centric Driving Streaming Perception? The ASAP Benchmark

Detecting As Labeling: Rethinking LiDAR-camera Fusion in 3D Object Detection

Panoptic-FlashOcc: An Efficient Baseline to Marry Semantic Occupancy with Panoptic via Instance Center


allesfitter is a convenient wrapper around the packages ellc (light curve and RV models), dynesty (static and dynamic nested sampling) emcee (Markov Chain Monte Carlo sampling) and celerite (Gaussian Process models).

Stellar Flares from the First TESS Data Release: Exploring a New Sample of M Dwarfs

Allesfitter: Flexible Star and Exoplanet Inference from Photometry and Radial Velocity

Complex Rotational Modulation of Rapidly Rotating M Stars Observed with TESS

The Aligned Orbit of the Eccentric Warm Jupiter K2-232b

HD 191939: Three Sub-Neptunes Transiting a Sun-like Star Only 54 pc Away

Long-term stellar activity variations and their effect on radial-velocity measurements

Monthly notices of the Royal Astronomical Society

NGTS-8b and NGTS-9b: two non-inflated hot Jupiters

Monthly Notices of the Royal Astronomical Society

A sub-Neptune transiting the young field star HD 18599 at 40 pc


Repo for the R package coloc

Genome sequencing analysis identifies new loci associated with Lewy body dementia and provides insights into its genetic architecture

Eliciting priors and relaxing the single causal variant assumption in colocalisation analyses

A more accurate method for colocalisation analysis allowing for multiple causal variants

GWAS on longitudinal growth traits reveals different genetic factors influencing infant, child, and adult BMI

Genetic and non-genetic factors affecting the expression of COVID-19-relevant genes in the large airway epithelium

Shared genetic etiology and causality between body fat percentage and cardiovascular diseases: a large-scale genome-wide cross-trait analysis

Brain Banks Spur New Frontiers in Neuropsychiatric Research and Strategies for Analysis and Validation

基因组蛋白质组与生物信息学报

Mapping genetic determinants of 184 circulating proteins in 26,494 individuals to connect proteins and diseases

Promising therapeutic targets for ischemic stroke identified from plasma and cerebrospinal fluid proteomes: a multicenter Mendelian randomization study

International journal of surgery (London, England)

Genome-wide association study of REM sleep behavior disorder identifies novel loci with distinct polygenic and brain expression effects


Lightweight and Fast; RNA-seq quantification at the event-level

The changing paradigm of intron retention: regulation, ramifications and recipes

Differential contribution of transcriptomic regulatory layers in the definition of neuronal identity

Implications of Antigen Selection on T Cell-Based Immunotherapy

ASTool: An Easy-to-Use Tool to Accurately Identify Alternative Splicing Events from Plant RNA-Seq Data


[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers

SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer

AdaPoinTr: Diverse Point Cloud Completion With Adaptive Geometry-Aware Transformers


GUI for marking bounded boxes of objects in images for training neural network Yolo v3 and v2

Deep Learning for Retail Product Recognition: Challenges and Techniques

Computational intelligence and neuroscience

MOR-UAV: A Benchmark Dataset and Baselines for Moving Object Recognition in UAV Videos

Deep Learning-Based Object Detection System for Identifying Weeds Using UAS Imagery

AN APPROACH FOR IMAGE ANNOTATION AUTOMATIZATION FOR ARTIFICIAL INTELLIGENCE MODELS LEARNING

Адаптивні системи автоматичного управління

Design and Implementation of a Hydroponic Strawberry Monitoring and Harvesting Timing Information Supporting System Based on Nano AI-Cloud and IoT-Edge

DeepSperm: A robust and real-time bull sperm-cell detection in densely populated semen videos

CarFree: Hassle-Free Object Detection Dataset Generation Using Carla Autonomous Driving Simulator

Perspective-Corrected Spatial Referring Expression Generation for Human–Robot Interaction

Vineyard Gap Detection by Convolutional Neural Networks Fed by Multi-Spectral Images

Quevedo: Annotation and Processing of Graphical Languages

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


The OpenABE library - open source cryptographic library with attribute-based encryption implementations in C/C++

A Hybrid Blockchain-Edge Architecture for Electronic Health Record Management With Attribute-Based Cryptographic Mechanisms

IEEE Transactions on Network and Service Management

Systematizing core properties of pairing-based attribute-based encryption to uncover remaining challenges in enforcing access control in practice

ABE Squared: Accurately Benchmarking Efficiency of Attribute-Based Encryption

IACR Transactions on Cryptographic Hardware and Embedded Systems

Too Many Options: A Survey of ABE Libraries for Developers

Trustworthy Users: Using IOTA and IPFS for Attribute Validation in CP-ABE and dCP-ABE Schemes

A Zero-Knowledge Revocable Credential Verification Protocol Using Attribute-Based Encryption

Application-Oriented Selection of Privacy Enhancing Technologies


Causal Mixture Model for GWAS summary statistics

Bivariate causal mixture model quantifies polygenic overlap between complex traits beyond genetic correlation

Polygenic overlap and shared genetic loci between loneliness, severe mental disorders, and cardiovascular disease risk factors suggest shared molecular mechanisms

Characterizing the Genetic Overlap Between Psychiatric Disorders and Sleep-Related Phenotypes

Quantifying the Polygenic Architecture of the Human Cerebral Cortex: Extensive Genetic Overlap between Cortical Thickness and Surface Area

Extensive bidirectional genetic overlap between bipolar disorder and cardiovascular disease phenotypes

Identification of novel genomic risk loci shared between common epilepsies and psychiatric disorders

Genome-wide association study of cerebellar volume provides insights into heritable mechanisms underlying brain development and mental health

Phenotype-specific differences in polygenicity and effect size distribution across functional annotation categories revealed by AI-MiXeR

Shared genetic loci between Alzheimer's disease and multiple sclerosis: Crossroads between neurodegeneration and immune system

Genetic overlap between Alzheimer's disease and immune-mediated diseases: an atlas of shared genetic determinants and biological convergence.


An explicit Python PV system IV & PV curve trace calculator which can also calculate mismatch.


Analysis pipeline for the GUIDE-seq assay.

High-level correction of the sickle mutation is amplified in vivo during erythroid differentiation

In vivo genome editing in mouse restores dystrophin expression in Duchenne muscular dystrophy patient muscle fibers

Novel and Engineered Type II CRISPR Systems from Uncultivated Microbes with Broad Genome Editing Capability

CRISPR-Cas9 engineering of the RAG2 locus via complete coding sequence replacement for therapeutic applications


Declarative, On-Device Machine Learning for iOS, Android, and React Native. Deploy. Predict. Train.

Federated Learning for Healthcare Informatics

Reviewing Federated Machine Learning and Its Use in Diseases Prediction

A comprehensive review of federated learning for COVID‐19 detection

International journal of intelligent systems

OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework


Generate 3D objects conditioned on text or images

Shap-E: Generating Conditional 3D Implicit Functions

Next Steps for Human-Centered Generative AI: A Technical Perspective

3DTopia: Large Text-to-3D Generation Model with Hybrid Diffusion Priors

HexaGen3D: StableDiffusion is just one step away from Fast and Diverse Text-to-3D Generation

iNVS: Repurposing Diffusion Inpainters for Novel View Synthesis

Large Language and Text-to-3D Models for Engineering Design Optimization

BoostDream: Efficient Refining for High-Quality Text-to-3D Generation from Multi-View Diffusion

MicroDreamer: Efficient 3D Generation in ∼20 Seconds by Score-based Iterative Reconstruction


Area-Proportional Euler and Venn Diagrams with Ellipses

RaGOO: fast and accurate reference-guided scaffolding of draft genomes

Doing More with Less: A Comparison of 16S Hypervariable Regions in Search of Defining the Shrimp Microbiota

Deep sampling and pooled amplicon sequencing reveals hidden genic variation in heterogeneous rye accessions

The Relationship Between Microbiomes and Selective Regimes in the Sponge Genus Ircinia

Immunophenotyping of Peripheral Blood Mononuclear Cells in Septic Shock Patients With High-Dimensional Flow Cytometry Analysis Reveals Two Subgroups With Differential Responses to Immunostimulant Drugs

Consensus molecular subtype differences linking colon adenocarcinoma and obesity revealed by a cohort transcriptomic analysis

Deep proteome profiling reveals signatures of age and sex differences in paw skin and sciatic nerve of naïve mice

Mutational signatures representative transcriptomic perturbations in hepatocellular carcinoma


R package for microbiome biomarker discovery

microbiomeMarker: an R/Bioconductor package for microbiome marker identification and visualization

Microbiota long-term dynamics and prediction of acute graft-versus-host-disease in pediatric allogeneic stem cell transplantation

Alterations of the Human Lung and Gut Microbiomes in Non-Small Cell Lung Carcinomas and Distant Metastasis

Soil composition and rootstock genotype drive the root associated microbial communities in young grapevines

Dynamics of the Human Nasal Microbiota and Staphylococcus aureus CC398 Carriage in Pig Truck Drivers across One Workweek

Evaluation of DNA extraction protocols from liquid-based cytology specimens for studying cervical microbiota

Similar Gut Bacterial Composition Between Patients With Ulcerative Colitis and Healthy Controls in a High Incidence Population: A Cross-sectional Study of the Faroe Islands IBD Cohort

Multispecies probiotic supplementation in diet with reduced crude protein levels altered the composition and function of gut microbiome and restored microbiome-derived metabolites in growing pigs

Multiomics Reveals Symbionts, Pathogens, and Tissue-Specific Microbiome of Blacklegged Ticks (Ixodes scapularis) from a Lyme Disease Hot Spot in Southeastern Ontario, Canada

Data on microbial diversity of camel milk microbiota determined by 16S rRNA gene sequencing


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

A tutorial on the synthesis and validation of a closed-loop wind farm controller using a steady-state surrogate model

Model-based closed-loop wind farm control for power maximization using Bayesian Optimization: a large eddy simulation study

Predicting the benefit of wake steering on the annual energy production of a wind farm using large eddy simulations and Gaussian process regression

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

Numerical Validation of Wind Plant Control Strategies

Joint state-parameter estimation for a control-oriented LES wind farm model

Zenodo (CERN European Organization for Nuclear Research)

Actuator line model using simplified force calculation methods

The Importance of Wake Meandering on Wind Turbine Fatigue Loads in Wake

Distributed and Cooperative Control in Wind Farms

Optimal distribution width for ALM in LES for (NEW) MEXICO experiment

SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2018)


Allosaurus is a pretrained universal phone recognizer for more than 2000 languages

Universal Phone Recognition with a Multilingual Allophone System

Intent Classification Using Pre-Trained Embeddings For Low Resource Languages

Tusom2021: A Phonetically Transcribed Speech Dataset from an Endangered Language for Universal Phone Recognition Experiments

Analyzing discourse functions with acoustic features and phone embeddings: non-lexical items in Taiwan Mandarin

Taiwan Conference on Computational Linguistics and Speech Processing


Keras implementation of a CNN network for age and gender estimation

Efficient facial representations for age, gender and identity recognition in organizing photo albums using multi-output ConvNet

Bias, awareness, and ignorance in deep-learning-based face recognition

Improving Borderline Adulthood Facial Age Estimation through Ensemble Learning

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

Active Assessment of Prediction Services as Accuracy Surface Over Attribute Combinations


Model explainability that works seamlessly with  transformers. Explain your transformers model in just 2 lines of code.

Axiomatic Attribution for Deep Networks

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Benchmarking Zero-shot Text Classification: Datasets, Evaluation and Entailment Approach

Explaining Explanations: Axiomatic Feature Interactions for Deep Networks

Differentiate ChatGPT-generated and Human-written Medical Texts

CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Data Limitation With Contrastive Learning

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

SecureFalcon: The Next Cyber Reasoning System for Cyber Security

Robust Conversational Agents against Imperceptible Toxicity Triggers

A Practical guide on Explainable AI Techniques applied on Biomedical use case applications


Python API for the WRF-Hydro model


Pytorch library for fast transformer implementations

Transformers are RNNs: Fast Autoregressive Transformers with Linear Attention

Rethinking Attention with Performers

RWKV: Reinventing RNNs for the Transformer Era

Large-scale chemical language representations capture molecular structure and properties

Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs

Fast Transformers with Clustered Attention

An Attention Free Transformer

ATISS: Autoregressive Transformers for Indoor Scene Synthesis

SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks

Simple linear attention language models balance the recall-throughput tradeoff


Tool for transpiling C to Go.

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

Code Translation with Compiler Representations

Exploring and Unleashing the Power of Large Language Models in Automated Code Translation

Exploring the Impact of the Output Format on the Evaluation of Large Language Models for Code Translation

Towards Translating Real-World Code with LLMs: A Study of Translating to
  Rust

Rectifier: Code Translation with Corrector via LLMs


MetaWRAP - a flexible pipeline for genome-resolved metagenomic data analysis

Method development for cross-study microbiome data mining: Challenges and opportunities

Computational and structural biotechnology journal

MAGScoT - a fast, lightweight, and accurate bin-refinement software

A Nitrate-Transforming Bacterial Community Dominates in the Miscanthus Rhizosphere on Nitrogen-Deficient Volcanic Deposits of Miyake-jima

Can bugs be an alternative or adjuvant to drugs in schizophrenia?

Journal of Applied Pharmaceutical Sciences


SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.

Multimodal Analysis of Composition and Spatial Architecture in Human Squamous Cell Carcinoma

Single-cell genomic profiling of human dopamine neurons identifies a population that selectively degenerates in Parkinson’s disease

Dexamethasone modulates immature neutrophils and interferon programming in severe COVID-19

A comprehensive survey of regulatory network inference methods using single cell RNA sequencing data

Characterizing dedifferentiation of thyroid cancer by integrated analysis

Alginate oligosaccharides improve germ cell development and testicular microenvironment to rescue busulfan disrupted spermatogenesis

Single-cell Transcriptome Profiling reveals Dermal and Epithelial cell fate decisions during Embryonic Hair Follicle Development

Statistical and Machine Learning Approaches to Predict Gene Regulatory Networks From Transcriptome Datasets

Single-cell dissection of cellular and molecular features underlying human cervical squamous cell carcinoma initiation and progression

Single-cell atlas of keratoconus corneas revealed aberrant transcriptional signatures and implicated mechanical stretch as a trigger for keratoconus pathogenesis


R package for modeling single cell UMI expression data using regularized negative binomial regression

SARS-CoV-2 Receptor ACE2 Is an Interferon-Stimulated Gene in Human Airway Epithelial Cells and Is Detected in Specific Cell Subsets across Tissues

Spatial omics: Navigating to the golden era of cancer research

Single cell full-length transcriptome of human subcutaneous adipose tissue reveals unique and heterogeneous cell populations

Cancer cell plasticity and MHC-II–mediated immune tolerance promote breast cancer metastasis to lymph nodes

Microglia maintain structural integrity during fetal brain morphogenesis

Toward uncharted territory of cellular heterogeneity: advances and applications of single-cell RNA-seq

Journal of translational genetics and genomics

Single cell qtSEQ: Cell-indexed quantitative and targeted RNA sequencing for sorted rare lymphocyte subpopulations

Dysregulated Cell–Cell Communication Characterizes Pulmonary Fibrosis

Meta-analysis of single-cell and single-nucleus transcriptomics reveals kidney cell type consensus signatures

Single-cell transcriptomic analysis of the identity and function of fibro/adipogenic progenitors in healthy and dystrophic muscle


Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

Temporal Segment Networks for Action Recognition in Videos

W-TALC: Weakly-supervised Temporal Activity Localization and Classification

Procedural Generation of Videos to Train Deep Action Recognition Networks

Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning

Generating Human Action Videos by Coupling 3D Game Engines and Probabilistic Graphical Models


A PyTorch toolkit for 2D Human Pose Estimation.

Stacked Hourglass Networks for Human Pose Estimation

Simple Baselines for Human Pose Estimation and Tracking

Learning Loss for Active Learning

RGBD-Dog: Predicting Canine Pose from RGBD Sensors

Fast and Flexible Human Pose Estimation with HyperPose

PROCEEDINGS OF THE 29TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA, MM 2021


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

Challenges for biophysical modeling of microstructure

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

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

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

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

Evaluating NODDI‐based biomarkers of Alzheimer’s disease

DIMOND: DIffusion Model OptimizatioN with Deep Learning

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition


A tool to retrieve malware directly from the source for security researchers.

A Survey of Deep Learning Techniques for Cybersecurity in Mobile Networks

IEEE Communications Surveys and Tutorials

Malware Detection with Neural Network Using Combined Features

Communications in computer and information science

Application of Distance Metric Learning to Automated Malware Detection


[EMNLP'23, ACL'24] To speed up LLMs' inference and enhance LLM's perceive of key information, compress the prompt and KV-Cache, which achieves up to 20x compression with minimal performance loss.

LongLLMLingua: Accelerating and Enhancing LLMs in Long Context Scenarios via Prompt Compression

LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression

MInference 1.0: Accelerating Pre-filling for Long-Context LLMs via Dynamic Sparse Attention

KV Cache Compression, But What Must We Give in Return? A Comprehensive
  Benchmark of Long Context Capable Approaches

Unifying Demonstration Selection and Compression for In-Context Learning


Distributed deep learning on Hadoop and Spark clusters.

Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools

GossipGraD: Scalable Deep Learning using Gossip Communication based Asynchronous Gradient Descent

Productivity, Portability, Performance: Data-Centric Python

SC21: INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS

Scanner: Efficient Video Analysis at Scale

A Survey on Spark Ecosystem: Big Data Processing Infrastructure, Machine Learning, and Applications

DeepSpark: A Spark-Based Distributed Deep Learning Framework for Commodity Clusters

What does fault tolerant Deep Learning need from MPI?

Barista - a Graphical Tool for Designing and Training Deep Neural Networks


JavaScript source code visualization, static analysis, and complexity tool

End-to-End Analysis of In-Browser Cryptojacking

Analyzing In-browser Cryptojacking


Reference implementation of code generation projects from Facebook AI Research. General toolkit to apply machine learning to code, from dataset creation to model training and evaluation. Comes with pretrained models.

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

DOBF: A Deobfuscation Pre-Training Objective for Programming Languages

Leveraging Automated Unit Tests for Unsupervised Code Translation

Code Translation with Compiler Representations

Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages

On the Evaluation of Neural Code Translation: Taxonomy and Benchmark

Quantifying OpenMP: Statistical Insights into Usage and Adoption

User-Customizable Transpilation of Scripting Languages

VERT: Verified Equivalent Rust Transpilation with Few-Shot Learning


spatially-resolved ESM-specific multi-scenario initial-condition ensemble emulator

From emission scenarios to spatially resolved projections with a chain of computationally efficient emulators: coupling of MAGICC (v7.5.1) and MESMER (v0.8.3)


Oil Production Greenhouse Gas Emissions Estimator


Survival analysis with PyTorch

DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network

Time-to-Event Prediction with Neural Networks and Cox Regression

A scalable discrete-time survival model for neural networks

Continuous and Discrete-Time Survival Prediction with Neural Networks

Deep Neural Networks for Survival Analysis Based on a Multi-Task Framework

Prediction of prognostic risk factors in hepatocellular carcinoma with transarterial chemoembolization using multi-modal multi-task deep learning

SurvTRACE: Transformers for Survival Analysis with Competing Events

Gradient boosting survival tree with applications in credit scoring

Journal of the Operational Research Society

The Brier Score under Administrative Censoring: Problems and Solutions

Predicting Time-to-conversion for Dementia of Alzheimer's Type using Multi-modal Deep Survival Analysis


NCCL Tests

Evaluating Modern GPU Interconnect: PCIe, NVLink, NV-SLI, NVSwitch and GPUDirect

IEEE Transactions on Parallel and Distributed Systems

Daydream: Accurately Estimating the Efficacy of Optimizations for DNN Training

Performance Analysis of Deep Learning Workloads on Leading-edge Systems

Multi-node Bert-pretraining: Cost-efficient Approach

DeAR: Accelerating Distributed Deep Learning with Fine-Grained All-Reduce Pipelining

A Hardware Evaluation Framework for Large Language Model Inference

Srifty: Swift and Thrifty Distributed Training on the Cloud

USP: A Unified Sequence Parallelism Approach for Long Context Generative AI

Using machine learning to model the training scalability of convolutional neural networks on clusters of GPUs


ns3-gym - The Playground for Reinforcement Learning in Networking Research

ns3-gym: Extending OpenAI Gym for Networking Research

Terahertz Meets AI: The State of the Art


Pindel can detect breakpoints of large deletions, medium sized insertions, inversions, tandem duplications and other structural variants at single-based resolution from next-gen sequence data. It uses a pattern growth approach to identify the breakpoints of these variants from paired-end short reads.

Timing the Landmark Events in the Evolution of Clear Cell Renal Cell Cancer: TRACERx Renal

A high-quality human reference panel reveals the complexity and distribution of genomic structural variants

High performance of targeted next generation sequencing on variance detection in clinical tumor specimens in comparison with current conventional methods

Journal of experimental & clinical cancer research : CR

The clonal evolution of metastatic colorectal cancer

SMaSH: A Benchmarking Toolkit for Human Genome Variant Calling

Loss of functional BAP1 augments sensitivity to TRAIL in cancer cells

Effects of germline and somatic events in candidate BRCA-like genes on breast-tumor signatures

Whole genome sequencing and its applications in medical genetics

FLT3-ITD Measurable Residual Disease Monitoring in Acute Myeloid Leukemia Using Next-Generation Sequencing

Integrating Genetic Structural Variations and Whole-Genome Sequencing Into Clinical Neurology


Public repository for the Monte Python Code

Strongest model-independent bound on the lifetime of Dark Matter

Journal of Cosmology and Astroparticle Physics

Cosmological viable models in f(T,B) gravity as solutions to the H_0 tension

A deep learning approach to cosmological dark energy models

Cosmological constraints on induced gravity dark energy models

Quantifying Suspiciousness within correlated data sets

Monthly Notices of the Royal Astronomical Society

Inverse Cosmography: testing the effectiveness of cosmographic polynomials using machine learning

Can decaying dark matter scenarios alleviate both H0 and σ8 tensions?

Monthly notices of the Royal Astronomical Society

Kinetically Coupled Scalar Fields Model and Cosmological Tensions

Particle production during inflation: a Bayesian analysis with CMB data from Planck 2018

Dark Matter Cosmology with Varying Viscosity: a Possible Resolution to the S_8 Tension


Is-Vegan helps you to find out which food ingredients are vegan / non-vegan


Visualise RNA secondary structure in consistent, reproducible and recognisable layouts

R2R - software to speed the depiction of aesthetic consensus RNA secondary structures

R2DT is a framework for predicting and visualising RNA secondary structure using templates

R2DT: computational framework for template-based RNA secondary structure visualisation across non-coding RNA types


GraftM - Rapid community profiles from metagenomes

Comparative Genomic Analysis of the Class Epsilonproteobacteria and Proposed Reclassification to Epsilonbacteraeota (phyl. nov.)

GraftM: a tool for scalable, phylogenetically informed classification of genes within metagenomes

Back from the dead; the curious tale of the predatory cyanobacterium Vampirovibrio chlorellavorus

Differences in Ureolytic Bacterial Composition between the Rumen Digesta and Rumen Wall Based on ureC Gene Classification

Archaea dominate the microbial community in an ecosystem with low-to-moderate temperature and extreme acidity

Comparative genome-centric analysis reveals seasonal variation in the function of coral reef microbiomes

Legume crop rotation suppressed nitrifying microbial community in a sugarcane cropping soil

Response of Microbial Community Function to Fluctuating Geochemical Conditions within a Legacy Radioactive Waste Trench Environment


The project is an official implement of our ECCV2018 paper  "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

Deep High-Resolution Representation Learning for Human Pose Estimation

Deep High-Resolution Representation Learning for Visual Recognition

Simple and Lightweight Human Pose Estimation

Pose Neural Fabrics Search

Spatial Shortcut Network for Human Pose Estimation


Python library to interface with CATMAID servers. Fully interoperable with navis.

Complete Connectomic Reconstruction of Olfactory Projection Neurons in the Fly Brain

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

A Neural Circuit Arbitrates between Persistence and Withdrawal in Hungry Drosophila

Input Connectivity Reveals Additional Heterogeneity of Dopaminergic Reinforcement in Drosophila

Synaptic targets of photoreceptors specialized to detect color and skylight polarization in Drosophila


Bayes Net Toolbox for Matlab

Causality-based Feature Selection: Methods and Evaluations

Exact Inference Techniques for the Analysis of Bayesian Attack Graphs

Efficient Attack Graph Analysis through Approximate Inference

BARD: A Structured Technique for Group Elicitation of Bayesian Networks to Support Analytic Reasoning

Risk analysis : an official publication of the Society for Risk Analysis

Cause vs. effect in context-sensitive prediction of business process instances

An Investigation into Unsafe Behaviors and Traffic Accidents Involving Unlicensed Drivers: A Perspective for Alignment Measurement

International journal of environmental research and public health

A Review on Algorithms for Constraint-based Causal Discovery

A Recursive Markov Boundary-Based Approach to Causal Structure Learning

Causality-Aided Falsification

Pedestrians’ Injury Severity in Traffic Accidents in Spain: A Pedestrian Actions Approach


Code release for ConvNeXt model

A ConvNet for the 2020s

More ConvNets in the 2020s: Scaling up Kernels Beyond 51x51 using Sparsity

What Makes Convolutional Models Great on Long Sequence Modeling?

Alias-Free Convnets: Fractional Shift Invariance via Polynomial Activations

TOAST: Transfer Learning via Attention Steering

Fcaformer: Forward Cross Attention in Hybrid Vision Transformer

VisDA 2022 Challenge: Domain Adaptation for Industrial Waste Sorting

Overcoming the Stability Gap in Continual Learning

Instruct2Attack: Language-Guided Semantic Adversarial Attacks

WeatherProof: A Paired-Dataset Approach to Semantic Segmentation in Adverse Weather


:angel: Morph faces with Python, Numpy, Scipy

One-shot Face Reenactment

Face morph detection for unknown morphing algorithms and image sources: a multi-scale block local binary pattern fusion approach

Deep Composite Face Image Attacks: Generation, Vulnerability and Detection

Mapping the perception-space of facial expressions in the era of face masks

Towards minimizing efforts for Morphing Attacks -- Deep embeddings for morphing pair selection and improved Morphing Attack Detection

Detecting Morphing Attacks via Continual Incremental Training


Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA

Cluster-Former: Clustering-based Sparse Transformer for Long-Range Dependency Encoding

Context Mover's Distance & Barycenters: Optimal transport of contexts for building representations

Deep Kernel Learning for Clustering

Zoom: SSD-based Vector Search for Optimizing Accuracy, Latency and Memory

Modeling Dynamics of Facial Behavior for Mental Health Assessment

Correlating Twitter Language with Community-Level Health Outcomes

A Generic Distributed Clustering Framework for Massive Data


Transparent file encryption in git

What are the Practices for Secret Management in Software Artifacts?

What Challenges Do Developers Face About Checked-in Secrets in Software Artifacts?

Combining Usability and Privacy Protection in Free-Access Public Cloud Storage Servers: Review of the Main Threats and Challenges


Read Assignment, Mapping, and Phylogenetic Analysis in Real Time

Coast-to-Coast Spread of SARS-CoV-2 during the Early Epidemic in the United States

Early introductions and transmission of SARS-CoV-2 variant B.1.1.7 in the United States

The D614G mutations in the SARS-CoV-2 spike protein: Implications for viral infectivity, disease severity and vaccine design

Biochemical and biophysical research communications

Chest imaging representing a COVID-19 positive rural U.S. population

Assessment of a multiplex PCR and Nanopore-based method for dengue virus sequencing in Indonesia

Coast-to-coast spread of SARS-CoV-2 in the United States revealed by genomic epidemiology

medRxiv : the preprint server for health sciences

Characterization of the Immune Resistance of Severe Acute Respiratory Syndrome Coronavirus 2 Mu Variant and the Robust Immunity Induced by Mu Infection

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

Early introductions and community transmission of SARS-CoV-2 variant B.1.1.7 in the United States

Genome sequencing of the first SARS-CoV-2 reported from patients with COVID-19 in Ecuador


A self-driving car simulator built with Unity

Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles

Testing machine learning based systems: a systematic mapping

Zenodo (CERN European Organization for Nuclear Research)

MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning

Minimum Error Entropy Kalman Filter

Efficient Decentralized Deep Learning by Dynamic Model Averaging

An End-to-End Deep Neural Network for Autonomous Driving Designed for Embedded Automotive Platforms

A Survey on Automated Driving System Testing: Landscapes and Trends

The Atari Grand Challenge Dataset

Review on Vehicle Detection Technology for Unmanned Ground Vehicles

DeepGuard: A Framework for Safeguarding Autonomous Driving Systems from Inconsistent Behavior


General Speech Restoration

VoiceFixer: Toward General Speech Restoration with Neural Vocoder

VoiceFixer: A Unified Framework for High-Fidelity Speech Restoration

Neural Vocoder is All You Need for Speech Super-resolution

Analysing Diffusion-based Generative Approaches Versus Discriminative Approaches for Speech Restoration

SelfRemaster: Self-Supervised Speech Restoration with Analysis-by-Synthesis Approach Using Channel Modeling


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

SSD: Single Shot MultiBox Detector

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

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

Attention-based domain adaptation for single-stage detectors

CAT: Compression-Aware Training for bandwidth reduction

Active Learning for Deep Neural Networks on Edge Devices


An open source python library for scalable Bayesian optimisation.

Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly

A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations

Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization

Bayesian Optimization of Computer-Proposed Multistep Synthetic Routes on an Automated Robotic Flow Platform

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization

Predicting 3D genome folding from DNA sequence

Supervising the Multi-Fidelity Race of Hyperparameter Configurations

Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing

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


Decoder, aligner, and model optimizer for statistical machine translation and other structured prediction models based on (mostly) context-free formalisms

Modeling Source Syntax for Neural Machine Translation

Multilingual Distributed Representations without Word Alignment

Multimodal Pivots for Image Caption Translation

PROCEEDINGS OF THE 54TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1

Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task

Proceedings of the Third Conference on Machine Translation: Shared Task Papers

Joint Feature Selection in Distributed Stochastic Learning for Large-Scale Discriminative Training in SMT

Meeting of the Association for Computational Linguistics

Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context

Real Time Adaptive Machine Translation for Post-Editing with cdec and TransCenter

Conference of the European Chapter of the Association for Computational Linguistics

Boosting Cross-Language Retrieval by Learning Bilingual Phrase Associations from Relevance Rankings

Empirical Methods in Natural Language Processing

A Dataset and Reranking Method for Multimodal MT of User-Generated Image Captions

Conference of the Association for Machine Translation in the Americas

Response-based Learning for Grounded Machine Translation

PROCEEDINGS OF THE 52ND ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS, VOL 1


Python wrapper for the simple climate model MAGICC

Reduced Complexity Model Intercomparison Project Phase 1: introduction and evaluation of global-mean temperature response


XLNet: Generalized Autoregressive Pretraining for Language Understanding

Pre-trained models for natural language processing: A survey

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

Green AI

Revisiting Few-sample BERT Fine-tuning

A Survey on Text Classification: From Shallow to Deep Learning

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

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

International Journal of Data Science and Analytics

Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering

Effects of Generative Chatbots in Higher Education


BEELINE: evaluation of algorithms for gene regulatory network inference

Benchmarking algorithms for gene regulatory network inference from single-cell transcriptomic data

Regulatory analysis of single cell multiome gene expression and chromatin accessibility data with scREG

Inferring Gene Regulatory Networks From Single-Cell Transcriptomic Data Using Bidirectional RNN

GRouNdGAN: GRN-guided simulation of single-cell RNA-seq data using causal generative adversarial networks


PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

Emerging Properties in Self-Supervised Vision Transformers

XCiT: Cross-Covariance Image Transformers

Decomposing NeRF for Editing via Feature Field Distillation

Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models

LRM: Large Reconstruction Model for Single Image to 3D

Pushing the limits of raw waveform speaker recognition

SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation

Diffusion Models for Open-Vocabulary Segmentation

Unsupervised Semantic Segmentation with Self-supervised Object-centric Representations

PASS: An ImageNet replacement for self-supervised pretraining without humans


EVNotify allows you to monitor your electric vehicle and let you notify when the specified preset state of charge has been achieved.


An R implementation of the UpSet set visualization technique published by Lex, Gehlenborg, et al..

The genome of the yellow potato cyst nematode, Globodera rostochiensis, reveals insights into the basis of parasitism and virulence

Natural genetic variation determines microglia heterogeneity in wild-derived mouse models of Alzheimer’s disease

The Pacific harbor seal gut microbiota in Mexico: Its relationship with diet and functional inferences

Integrative omics identifies conserved and pathogen-specific responses of sepsis-causing bacteria

Phenome-wide analysis of Taiwan Biobank reveals novel glycemia-related loci and genetic risks for diabetes

Statin therapy inhibits fatty acid synthase via dynamic protein modifications

Relationships among Fecal, Air, Oral, and Tracheal Microbial Communities in Pigs in a Respiratory Infection Disease Model

A first perturbome of Pseudomonas aeruginosa: Identification of core genes related to multiple perturbations by a machine learning approach

Development of Toehold Switches as a Novel Ribodiagnostic Method for West Nile Virus

High subtelomeric GC content in the genome of a zoonotic Cryptosporidium species


Models and optimizes capacity & dispatch of electricity supply systems, off-grid or connected to a (weak) central grid


LoFreq Star: Sensitive variant calling from sequencing data

Variant profiling of evolving prokaryotic populations

Emergence of a Reassortant 2.3.4.4b Highly Pathogenic H5N1 Avian Influenza Virus Containing H9N2 PA Gene in Burkina Faso, West Africa, in 2021

Evolutionary Dynamics of H5 Highly Pathogenic Avian Influenza Viruses (Clade 2.3.4.4B) Circulating in Bulgaria in 2019–2021

Carnivore protoparvovirus 1 (CPV-2 and FPV) Circulating in Wild Carnivores and in Puppies Illegally Imported into North-Eastern Italy

Accelerating SARS-CoV-2 low frequency variant calling on ultra deep sequencing datasets

Emergence and Persistent Circulation of Highly Pathogenic Avian Influenza Virus A (H5N8) in Kosovo, May 2021–May 2022

Identification of Dobrava-Belgrade Virus in Apodemus flavicollis from North-Eastern Italy during Enhanced Mortality


LexNLP by LexPredict

LexNLP: Natural language processing and information extraction for legal and regulatory texts

Extracting Outcomes from Appellate Decisions in US State Courts

eyecite: A tool for parsing legal citations

The Case for a Linked Data Research Engine for Legal Scholars

CaseGNN: Graph Neural Networks for Legal Case Retrieval with Text-Attributed Graphs


Structured state space sequence models

Efficiently Modeling Long Sequences with Structured State Spaces

Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers

Diagonal State Spaces are as Effective as Structured State Spaces

On the Parameterization and Initialization of Diagonal State Space Models

It's Raw! Audio Generation with State-Space Models

What Makes Convolutional Models Great on Long Sequence Modeling?

How to Train Your HiPPO: State Space Models with Generalized Orthogonal Basis Projections

Can Mamba Learn How to Learn? A Comparative Study on In-Context Learning
  Tasks

S4ND: Modeling Images and Videos as Multidimensional Signals Using State Spaces

Simplifying and Understanding State Space Models with Diagonal Linear RNNs


Python PDF Parser (Not actively maintained). Check out pdfminer.six.

PubLayNet: largest dataset ever for document layout analysis

Efficient Attentions for Long Document Summarization

DocBank: A Benchmark Dataset for Document Layout Analysis

IcoRating: A Deep-Learning System for Scam ICO Identification

Figure and caption extraction from biomedical documents

VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups

What Are the Attackers Doing Now? Automating Cyberthreat Intelligence Extraction from Text on Pace with the Changing Threat Landscape: A Survey

No Data to Crawl? Monolingual Corpus Creation from PDF Files of Truly low-Resource Languages in Peru

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

A Dataset of Alt Texts from HCI Publications

Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility

Identification of Scams in Initial Coin Offerings With Machine Learning


Parameterisation of Equivariant Properties of Particle Systems

Atomic cluster expansion: Completeness, efficiency and stability

Representations of molecules and materials for interpolation of quantum-mechanical simulations via machine learning

Equivariant analytical mapping of first principles Hamiltonians to accurate and transferable materials models

Sensitivity and dimensionality of atomic environment representations used for machine learning interatomic potentials

QM/MM Methods for Crystalline Defects. Part 3: Machine-Learned MM Models

A framework for a generalisation analysis of machine-learned interatomic potentials

A Posteriori Error Estimate and Adaptivity for QM/MM Models of Crystalline Defects


[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

Detection Recovery in Online Multi-Object Tracking with Sparse Graph Tracker

Continuous Human Action Recognition for Human-machine Interaction: A Review

LettuceTrack: Detection and tracking of lettuce for robotic precision spray in agriculture

LettuceMOT: A dataset of lettuce detection and tracking with re-identification of re-occurred plants for agricultural robots

Bag of Tricks for Domain Adaptive Multi-Object Tracking


Benchmarking large language models' complex reasoning ability with chain-of-thought prompting

Improving Language Model Negotiation with Self-Play and In-Context Learning from AI Feedback

Chain-of-Thought Hub: A Continuous Effort to Measure Large Language Models' Reasoning Performance

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

LLMLingua: Compressing Prompts for Accelerated Inference of Large Language Models

An In-depth Look at Gemini's Language Abilities

No Token Left Behind: Reliable KV Cache Compression via Importance-Aware
  Mixed Precision Quantization

Resprompt: Residual Connection Prompting Advances Multi-Step Reasoning in Large Language Models

KwaiYiiMath: Technical Report


MoveTK is a library for computational movement analysis written in C++.

From A to B, randomly: a point-to-point random trajectory generator for animal movement

International Journal of Geographical Information Science

Kinematic interpolation of movement data

A framework for trajectory segmentation by stable criteria

Advances in Geographic Information Systems

Trackintel: An open-source Python library for human mobility analysis

Maximum Physically Consistent Trajectories

European Workshop on Computational Geometry


GRIDSS: the Genomic Rearrangement IDentification Software Suite

Clonal dynamics of haematopoiesis across the human lifespan

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

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

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

Structural variant evolution after telomere crisis

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

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

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

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

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


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

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

TAPAS: Weakly Supervised Table Parsing via Pre-training

Understanding tables with intermediate pre-training

TableFormer: Robust Transformer Modeling for Table-Text Encoding

MATE: Multi-view Attention for Table Transformer Efficiency

Open Domain Question Answering over Tables via Dense Retrieval

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

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

Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and
  Understanding -- A Survey

Table-based Fact Verification with Salience-aware Learning


Deformable Convolutional Networks

Deformable Convolutional Networks

R-FCN: Object Detection via Region-based Fully Convolutional Networks

DOTA: A Large-scale Dataset for Object Detection in Aerial Images

Deformable ConvNets v2: More Deformable, Better Results

Simple Baselines for Human Pose Estimation and Tracking

MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation

EAGLE: Large-scale Vehicle Detection Dataset in Real-World Scenarios using Aerial Imagery

Towards Interpretable R-CNN by Unfolding Latent Structures

Adaptive Precision Training: Quantify Back Propagation in Neural Networks with Fixed-point Numbers


This proposal has been replaced by the Topics API.

Massively Parallel and Dynamic Algorithms for Minimum Size Clustering

Masked LARk: Masked Learning, Aggregation and Reporting worKflow

The Attention Economy and the Impact of Artificial Intelligence

Interest-disclosing Mechanisms for Advertising are Privacy-Exposing (not Preserving)


Creative Commons Attribution 4.0 International

This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge.

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results

Interspeech 2021 Deep Noise Suppression Challenge

Weighted Speech Distortion Losses for Neural-network-based Real-time Speech Enhancement

Towards efficient models for real-time deep noise suppression

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework

Universal Speech Enhancement with Score-based Diffusion

UniAudio: An Audio Foundation Model Toward Universal Audio Generation

A Simultaneous Denoising and Dereverberation Framework with Target Decoupling

ICASSP 2021 Deep Noise Suppression Challenge: Decoupling Magnitude and Phase Optimization with a Two-Stage Deep Network


Parsnp was designed to align the core genome of hundreds to thousands of bacterial genomes within a few minutes to few hours. Input can be both draft assemblies and finished genomes, and output includes variant (SNP) calls, core genome phylogeny and multi-alignments. Parsnp leverages contextual information provided by multi-alignments surrounding SNP sites for filtration/cleaning, in addition to existing tools for recombination detection/filtration and phylogenetic reconstruction.

The Harvest suite for rapid core-genome alignment and visualization of thousands of intraspecific microbial genomes

Molecular Epidemiology and Colistin Resistant Mechanism of mcr-Positive and mcr-Negative Clinical Isolated Escherichia coli

Multidrug Resistant Uropathogenic Escherichia coli ST405 With a Novel, Composite IS26 Transposon in a Unique Chromosomal Location

Genomic assessment in Lactobacillus plantarum links the butyrogenic pathway with glutamine metabolism

Clonal spread of Escherichia coli O101:H9-ST10 and O101:H9-ST167 strains carrying fosA3 and blaCTX-M-14 among diarrheal calves in a Chinese farm, with Australian Chroicocephalus as the possible origin of E. coli O101:H9-ST10

Global Phylogeny and F Virulence Plasmid Carriage in Pandemic Escherichia coli ST1193

Horizontal Plasmid Transfer among Klebsiella pneumoniae Isolates Is the Key Factor for Dissemination of Extended-Spectrum β-Lactamases among Children in Tanzania

Infection of Cronobacter sakazakii ST1 Producing SHV-12 in a Premature Infant Born from Triplet Pregnancy

Genomic Characterization of ESBL/AmpC-Producing Escherichia coli in Stray Dogs Sheltered in Yangzhou, China

Complete Genome Sequencing of Leptospira interrogans Isolates from Malaysia Reveals Massive Genome Rearrangement but High Conservation of Virulence-Associated Genes


StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models

NaturalSpeech 3: Zero-Shot Speech Synthesis with Factorized Codec and
  Diffusion Models

XTTS: a Massively Multilingual Zero-Shot Text-to-Speech Model

Phoneme-Level BERT for Enhanced Prosody of Text-to-Speech with Grapheme Predictions

ZMM-TTS: Zero-shot Multilingual and Multispeaker Speech Synthesis Conditioned on Self-supervised Discrete Speech Representations

XPhoneBERT: A Pre-trained Multilingual Model for Phoneme Representations for Text-to-Speech

Autoregressive Diffusion Transformer for Text-to-Speech Synthesis

Bayesian Parameter-Efficient Fine-Tuning for Overcoming Catastrophic Forgetting

StyleTTS-ZS: Efficient High-Quality Zero-Shot Text-to-Speech Synthesis
  with Distilled Time-Varying Style Diffusion

E1 TTS: Simple and Fast Non-Autoregressive TTS


Package to calculate several thermal comfort indices (e.g. PMV, PPD, SET, adaptive) and convert physical variables.


:herb: 中文近义词：聊天机器人，智能问答工具包

Pre-Training with Whole Word Masking for Chinese BERT

Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks

RoCBert: Robust Chinese Bert with Multimodal Contrastive Pretraining

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis

GrammarGPT: Exploring Open-Source LLMs for Native Chinese Grammatical Error Correction with Supervised Fine-Tuning

A Mobile-Based Question-Answering and Early Warning System for Assisting Diabetes Management

Wireless Communications and Mobile Computing

A Hybrid System for NLPTEA-2020 CGED Shared Task

StyleBERT: Chinese pretraining by font style information

From Text to Sound: A Preliminary Study on Retrieving Sound Effects to Radio Stories

Reconstruction of ER Network from Specific Academic Texts for the Governance of MSW-NIMBY Crisis in China


A Neo4j backed ontology store

The Monarch Initiative: an integrative data and analytic platform connecting phenotypes to genotypes across species

The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species

DataMed – an open source discovery index for finding biomedical datasets

Journal of the American Medical Informatics Association : JAMIA

The SPARC DRC: Building a Resource for the Autonomic Nervous System Community

An overview of graph databases and their applications in the biomedical domain

Database : the journal of biological databases and curation

COVID-KOP: Integrating Emerging COVID-19 Data with the ROBOKOP Database

ChemRxiv : the preprint server for chemistry

A Biomedical Knowledge Graph System to Propose Mechanistic Hypotheses for Real-World Environmental Health Observations: Cohort Study and Informatics Application

AtOM, an ontology model for standardizing use of brain atlases in tools, workflows, and data infrastructures


Remote Desktop Protocol in Twisted Python

A Comparative Analysis of Honeypots on Different Cloud Platforms

Honeypot Implementation in a Cloud Environment


Tools for processing and analyzing structural variants.

Mapping and characterization of structural variation in 17,795 human genomes

Drivers and dynamics of a massive adaptive radiation in cichlid fishes

Functional equivalence of genome sequencing analysis pipelines enables harmonized variant calling across human genetics projects

A genome-wide association study for gut metagenome in Chinese adults illuminates complex diseases

svtools: population-scale analysis of structural variation

High-depth whole-genome sequencing identifies structure variants, copy number variants and short tandem repeats associated with Parkinson’s disease


Generate text images for training deep learning ocr model

Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study

OmniPrint: A Configurable Printed Character Synthesizer

Transferring General Multimodal Pretrained Models to Text Recognition

Scalable handwritten text recognition system for lexicographic sources of under-resourced languages and alphabets


Structural variation caller using third generation sequencing

Accurate detection of complex structural variations using single molecule sequencing

SVIM: structural variant identification using mapped long reads

Detection of mosaic and population-level structural variants with Sniffles2

Long-read sequencing unveils high-resolution HPV integration and its oncogenic progression in cervical cancer

A pipeline for complete characterization of complex germline rearrangements from long DNA reads

NextSV: a meta-caller for structural variants from low-coverage long-read sequencing data

Precise characterization of somatic complex structural variations from tumor/control paired long-read sequencing data with nanomonsv

Detection and assessment of copy number variation using PacBio long-read and Illumina sequencing in New Zealand dairy cattle

Correction of a Factor VIII genomic inversion with designer-recombinases

Complete Genome Sequence of Clostridium estertheticum DSM 8809, a Microbe Identified in Spoiled Vacuum Packed Beef


Pono: A flexible and extensible SMT-based model checker

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


Reading Wikipedia to Answer Open-Domain Questions

BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis

Open Question Answering over Tables and Text

Open-Retrieval Conversational Question Answering

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

GLUECoS : An Evaluation Benchmark for Code-Switched NLP

Ranking Paragraphs for Improving Answer Recall in Open-Domain Question Answering

Differentiable Reasoning over a Virtual Knowledge Base

SberQuAD - Russian Reading Comprehension Dataset: Description and Analysis

Answering Open-Domain Questions of Varying Reasoning Steps from Text

Training a Ranking Function for Open-Domain Question Answering


Render transformed image tiles

A Complete Electron Microscopy Volume of the Brain of Adult Drosophila melanogaster

Functional connectomics spanning multiple areas of mouse visual cortex

A Community-Developed Open-Source Computational Ecosystem for Big Neuro Data

A Connectome of the Male Drosophila Ventral Nerve Cord

Cell-type-specific inhibitory circuitry from a connectomic census of mouse visual cortex

bioRxiv : the preprint server for biology

Petascale neural circuit reconstruction: automated methods

Multimodal cell type correspondence by intersectional mFISH in intact tissues

MagC, magnetic collection of ultrathin sections for volumetric correlative light and electron microscopy

A scalable and modular automated pipeline for stitching of large electron microscopy datasets

Joint Deformable Registration of Large EM Image Volumes: A Matrix Solver Approach


SourceXtractor++, the next generation SExtractor

Constraining the physical properties of the first lensed z∼10-16 galaxy candidates with JWST

Euclid. I. Overview of the Euclid mission

Aging of galaxies along the morphological sequence, marked by bulge growth and disk quenching

PyAutoGalaxy: Open-Source Multiwavelength Galaxy Structure & Morphology

Zenodo (CERN European Organization for Nuclear Research)

Euclid preparation

HAL (Le Centre pour la Communication Scientifique Directe)

A SPectroscopic survey of biased halos In the Reionization Era (ASPIRE):
  JWST Discovers an Overdensity around a Metal Absorption-selected Galaxy at
  z∼5.5


Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks

Deep High-Resolution Representation Learning for Human Pose Estimation

Simple Baselines for Human Pose Estimation and Tracking

Tracking Objects as Points

Efficient Semantic Video Segmentation with Per-frame Inference

ISINet: An Instance-Based Approach for Surgical Instrument Segmentation

Learning to Relight Portrait Images via a Virtual Light Stage and Synthetic-to-Real Adaptation

Adversarial Attacks for Optical Flow-Based Action Recognition Classifiers

Real-Time End-to-End Action Detection with Two-Stream Networks

Differentiable Visual Computing


PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

Cryptocurrency Portfolio Management with Deep Reinforcement Learning

Model-Free Reinforcement Learning for Financial Portfolios: A Brief Survey

Deep Reinforcement Learning For Trading - A Critical Survey

International Conference on Data Technologies and Applications


Tools for visualizing spectrosopic light curves, with flux as a function of wavelength and time.

Early Release Science of the exoplanet WASP-39b with JWST NIRISS

Early Release Science of the exoplanet WASP-39b with JWST NIRCam

Quantifying the Transit Light Source Effect: Measurements of Spot Temperature and Coverage on the Photosphere of AU Microscopii with High-resolution Spectroscopy and Multicolor Photometry


gmx_MMPBSA is a new tool based on AMBER's MMPBSA.py aiming to perform end-state free energy calculations with GROMACS files.

gmx_MMPBSA: A New Tool to Perform End-State Free Energy Calculations with GROMACS

Journal of chemical theory and computation

PROTAC-Design-Evaluator (PRODE): An Advanced Method for In-Silico PROTAC Design

Generating Potential RET-Specific Inhibitors Using a Novel LSTM Encoder–Decoder Model

International journal of molecular sciences

The Motion Paradigm of Pre-Dock Zearalenone Hydrolase Predictions with Molecular Dynamics and the Docking Phase with Umbrella Sampling


Elementary Multiperspective Material Ontology (EMMO)

Semantic Interoperability and Characterization of Data Provenance in Computational Molecular Engineering

Journal of Chemical and Engineering Data

A Perspective on Digital Knowledge Representation in Materials Science and Engineering

Ontology-Based Process Modelling-with Examples of Physical Topologies

Agent-OM: Leveraging LLM Agents for Ontology Matching

Knowledge Graph Question Answering for Materials Science (KGQA4MAT): Developing Natural Language Interface for Metal-Organic Frameworks Knowledge Graph (MOF-KG)

Integrating Extended Non-destructive Testing in the Life Cycle Management of Bonded Products—Some Perspectives

Towards Enhancing Open Innovation Efficiency: A Method for Ontological Integration of BPMN and EMMO

Conference on Computer Science and Information Systems

CateCom: a practical data-centric approach to categorization of computational models

Insights from an OTTR-centric Ontology Engineering Methodology

OWL Reasoners still useable in 2023


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

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

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

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

Meeting of the Association for Computational Linguistics

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


[UNMAINTAINED] Automated machine learning for analytics & production

Benchmark and Survey of Automated Machine Learning Frameworks

Survey on Automated Machine Learning.

Benchmarking Automatic Machine Learning Frameworks

AMLB: an AutoML Benchmark

A Novel Prognostic Scoring System of Intrahepatic Cholangiocarcinoma With Machine Learning Basing on Real-World Data

AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworks

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


WannierTools: An open-source software package for novel topological materials. Full documentation:

Nodal-chain metals

Irvsp: To obtain irreducible representations of electronic states in the VASP

Three-component fermions with surface Fermi arcs in tungsten carbide

Transition between strong and weak topological insulator in ZrTe5 and HfTe5

Phonon-induced topological transition to a type-II Weyl semimetal

Topological semimetal to insulator quantum phase transition in the Zintl compounds B a 2 X (X =Si ,Ge )

Topologically nontrivial electronic states in CaSn3

Observation of surface Fermi arcs in altermagnetic Weyl semimetal CrSb


MadMax: surviving out-of-gas conditions in Ethereum smart contracts

Proceedings of the ACM on Programming Languages

A Concurrent Perspective on Smart Contracts

The State of Ethereum Smart Contracts Security: Vulnerabilities, Countermeasures, and Tool Support

Precise Attack Synthesis for Smart Contracts

The Economics of Smart Contracts

Flint for Safer Smart Contracts

Building an Ethereum-Based Decentralized Vehicle Rental System


R interface to the fishbase.org database

Susceptibility of European freshwater fish to climate change: species profiling based on life-history and environmental characteristics

Signatures of the collapse and incipient recovery of an overexploited marine ecosystem


PyTorch original implementation of Cross-lingual Language Model Pretraining.

Unsupervised Cross-lingual Representation Learning at Scale

XNLI: Evaluating Cross-lingual Sentence Representations

MASS: Masked Sequence to Sequence Pre-training for Language Generation

XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization

Phrase-Based & Neural Unsupervised Machine Translation

Unsupervised Question Decomposition for Question Answering

CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP

Large Memory Layers with Product Keys

Boosting Neural Machine Translation with Similar Translations


A fully featured, pythonic library for representing and using quaternions

Geomstats: A Python Package for Riemannian Geometry in Machine Learning

Introduction to Geometric Learning in Python with Geomstats

Proceedings of the Python in Science Conferences

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

RelMobNet: End-to-end relative camera pose estimation using a robust two-stage training


MiniCPM-V 2.6: A GPT-4V Level MLLM for Single Image, Multi Image and Video on Your Phone

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

RLHF-V: Towards Trustworthy MLLMs via Behavior Alignment from Fine-grained Correctional Human Feedback

MiniCPM-V: A GPT-4V Level MLLM on Your Phone

Large Multilingual Models Pivot Zero-Shot Multimodal Learning across Languages

RLAIF-V: Aligning MLLMs through Open-Source AI Feedback for Super GPT-4V
  Trustworthiness

Efficient Multimodal Large Language Models: A Survey

GUICourse: From General Vision Language Models to Versatile GUI Agents

Math-LLaVA: Bootstrapping Mathematical Reasoning for Multimodal Large
  Language Models

SciFIBench: Benchmarking Large Multimodal Models for Scientific Figure
  Interpretation

MM1.5: Methods, Analysis & Insights from Multimodal LLM Fine-tuning


Structural variant and indel caller for mapped sequencing data

Manta: rapid detection of structural variants and indels for germline and cancer sequencing applications

Molecular, Pathological, Radiological, and Immune Profiling of Non-brainstem Pediatric High-Grade Glioma from the HERBY Phase II Randomized Trial

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

A reference human induced pluripotent stem cell line for large-scale collaborative studies.

Resolution of structural variation in diverse mouse genomes reveals chromatin remodeling due to transposable elements

Integrated multi-omics for rapid rare disease diagnosis on a national scale

Analysis pipelines for cancer genome sequencing in mice

Combined low-pass whole genome and targeted sequencing in liquid biopsies for pediatric solid tumors

Genomic autopsy to identify underlying causes of pregnancy loss and perinatal death

Scalable, high quality, whole genome sequencing from archived, newborn, dried blood spots


Trait-Driven Models of Ecology and Evolution :evergreen_tree:

plant: A package for modelling forest trait ecology and evolution


Minotour API, web and client code

minoTour, real-time monitoring and analysis for nanopore sequencers

Barcode aware adaptive sampling for GridION and PromethION Oxford Nanopore sequencers

A framework for real-time monitoring, analysis and adaptive sampling of viral amplicon nanopore sequencing

Real-time monitoring and analysis of SARS-CoV-2 nanopore sequencing with minoTour


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

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

Normalization for Cubical Type Theory

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

Path Spaces of Higher Inductive Types in Homotopy Type Theory

Parametric Cubical Type Theory

The Integers as a Higher Inductive Type

Formalizing π4(S3) ≅Z/2Z and Computing a Brunerie Number in Cubical Agda

Naive cubical type theory

Cubical methods in homotopy type theory and univalent foundations

Mathematical Structures in Computer Science

Domain Theory in Constructive and Predicative Univalent Foundations


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

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

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


AMD Secure Encrypted Virtualization

SEVered: Subverting AMD's Virtual Machine Encryption

PROCEEDINGS OF THE 11TH EUROPEAN WORKSHOP ON SYSTEMS SECURITY (EUROSEC 2018)

CrossLine: Breaking "Security-by-Crash" based Memory Isolation in AMD SEV

Exploiting Interfaces of Secure Encrypted Virtual Machines

Multilayer Environment and Toolchain for Holistic NetwOrk Design and Analysis

Speedster: A TEE-assisted State Channel System


Web-interface to the Biofuel Ecophysiological Traits and Yields Database (used by PEcAn and TERRA REF)

BETYdb: a yield, trait, and ecosystem service database applied to second‐generation bioenergy feedstock production


Polygenic prediction of educational attainment within and between families from genome-wide association analyses in 3 million individuals

Improved polygenic prediction by Bayesian multiple regression on summary statistics

Genetic diversity fuels gene discovery for tobacco and alcohol use

Leveraging functional annotations in genetic risk prediction for human complex diseases

Improving genetic prediction by leveraging genetic correlations among human diseases and traits

Improving polygenic risk prediction from summary statistics by an empirical Bayes approach

Deep neural network improves the estimation of polygenic risk scores for breast cancer

Fine-tuning of Genome-Wide Polygenic Risk Scores and Prediction of Gestational Diabetes in South Asian Women

Genotyping, sequencing and analysis of 140,000 adults from Mexico City

Assessing polygenic risk score models for applications in populations with under-represented genomics data: an example of Vietnam


Geometric Algebra for Python

On computing the determinant, other characteristic polynomial coefficients, and inverse in Clifford algebras of arbitrary dimension

Basis-Free Formulas for Characteristic Polynomial Coefficients in Geometric Algebras

Exploring Novel Surface Representations via an Experimental Ray-Tracer in CGA


Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

An Introduction to Deep Reinforcement Learning

Foundations and Trends® in Machine Learning

Model-Based Reinforcement Learning for Atari

Dopamine: A Research Framework for Deep Reinforcement Learning

Obstacle Tower: A Generalization Challenge in Vision, Control, and Planning

DisCor: Corrective Feedback in Reinforcement Learning via Distribution Correction

Reinforcement Learning based Curriculum Optimization for Neural Machine Translation

Worst Cases Policy Gradients

Measuring the Reliability of Reinforcement Learning Algorithms

The Dormant Neuron Phenomenon in Deep Reinforcement Learning

Deterministic Implementations for Reproducibility in Deep Reinforcement Learning


Reference implementations of popular deep learning models.

Deep Residual Learning for Image Recognition

Xception: Deep Learning with Depthwise Separable Convolutions

Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review

Deep learning-based algorithm for lung cancer detection on chest radiographs using the segmentation method

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

Generalization bounds for deep learning

Toward Deep Learning Based Access Control

Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy

Impact of Thermal Throttling on Long-Term Visual Inference in a CPU-based Edge Device

Improving Neural Network Training in Low Dimensional Random Bases

Automatic Fault Detection for Deep Learning Programs Using Graph Transformations


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

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

Inferring Agronomical Insights for Wheat Canopy Using Image-Based Curve Fit K-Means Segmentation Algorithm and Statistical Analysis

Assessing the generalisability of radiomics features previously identified as predictive of radiation-induced sticky saliva and xerostomia

Physics and imaging in radiation oncology


Parallel Programming with Python and Charm++

Performance Evaluation of Python Parallel Programming Models: Charm4Py and mpi4py

pPython for Parallel Python Programming


LCIA Formatter


VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models

LoRA: Low-Rank Adaptation of Large Language Models

ModelScope Text-to-Video Technical Report

VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator

Text-Guided Synthesis of Eulerian Cinemagraphs

Identifying and Solving Conditional Image Leakage in Image-to-Video
  Diffusion Model

GAIA: Rethinking Action Quality Assessment for AI-Generated Videos

CoNo: Consistency Noise Injection for Tuning-free Long Video Diffusion


de novo sequence assembler using string graphs

A global reference for human genetic variation

A comprehensive assessment of somatic mutation detection in cancer using whole-genome sequencing

Denoising DNA deep sequencing data—high-throughput sequencing errors and their correction

A manually annotated Actinidia chinensis var. chinensis (kiwifruit) genome highlights the challenges associated with draft genomes and gene prediction in plants

Next-Generation Sequence Assembly: Four Stages of Data Processing and Computational Challenges

Exploring genome characteristics and sequence quality without a reference

RNA shotgun metagenomic sequencing of northern California (USA) mosquitoes uncovers viruses, bacteria, and fungi

Readjoiner: a fast and memory efficient string graph-based sequence assembler

Phenotype loss is associated with widespread divergence of the gene regulatory landscape in evolution

Whole-Genome Sequence of the Metastatic PC3 and LNCaP Human Prostate Cancer Cell Lines


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

Monitor Cotton Budding Using SVM and UAV Images

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

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

Initialization and Alignment for Adversarial Texture Optimization


An experimental ontology containing key terms from Open Biological and Biomedical Ontologies (OBO)

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

Coordinating virus research: The Virus Infectious Disease Ontology

Ontologies for increasing the FAIRness of plant research data


Axon is a spiking, biologically-based neural model driven by predictive error-driven learning, for systems-level models of the brain

Illuminating dendritic function with computational models

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

The Journal of neuroscience : the official journal of the Society for Neuroscience

Deep Predictive Learning in Neocortex and Pulvinar

Locally Learned Synaptic Dropout for Complete Bayesian Inference


Tools for mapping stars and planets.

starry: Analytic Occultation Light Curves

Analytic Planetary Transit Light Curves and Derivatives for Stars with Polynomial Limb Darkening

The Young Planet DS Tuc Ab Has a Low Obliquity

Cloudy and Cloud-free Thermal Phase Curves with PICASO: Applications to WASP-43b

Mapping stellar surfaces III: An Efficient, Scalable, and Open-Source Doppler Imaging Model

Analytic Light Curves in Reflected Light: Phase Curves, Occultations, and Non-Lambertian Scattering for Spherical Planets and Moons

Efficient and Precise Transit Light Curves for Rapidly Rotating, Oblate Stars

TESS Photometric Mapping of a Terrestrial Planet in the Habitable Zone: Detection of Clouds, Oceans, and Continents


Juman++ (a Morphological Analyzer Toolkit)

Juman++: A Morphological Analysis Toolkit for Scriptio Continua

Empirical Methods in Natural Language Processing

Naver Labs Europe's Systems for the WMT19 Machine Translation Robustness Task

Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning

Towards a Versatile Medical-Annotation Guideline Feasible Without Heavy Medical Knowledge: Starting From Critical Lung Diseases

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

Design and Structure of The Juman++ Morphological Analyzer Toolkit

JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation

Linguistically Driven Multi-Task Pre-Training for Low-Resource Neural Machine Translation

ACM Transactions on Asian and Low-Resource Language Information Processing

Sentiment Analysis for Emotional Speech Synthesis in a News Dialogue System

International Conference on Computational Linguistics

EMS: Efficient and Effective Massively Multilingual Sentence Embedding Learning

Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation


Multi-species size-based ecological modelling in R

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


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

Neural Collaborative Filtering

Deep Neural Networks for YouTube Recommendations

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

Multi-Interest Network with Dynamic Routing for Recommendation at Tmall

Controllable Multi-Interest Framework for Recommendation

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

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

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


Optimal Retrieval of Aerosol and Cloud

Remote Sensing of Droplet Number Concentration in Warm Clouds: A Review of the Current State of Knowledge and Perspectives

Reviews of geophysics (Washington, D.C. : 1985)

Cloud_cci Advanced Very High Resolution Radiometer post meridiem (AVHRR-PM) dataset version 3: 35-year climatology of global cloud and radiation properties

The Community Cloud retrieval for CLimate (CC4CL) – Part 2: The optimal estimation approach

Cloud_cci ATSR-2 and AATSR dataset version 3: a 17-yearclimatology of global cloud and radiation properties

Authors' response to Referee #2


A tool to quickly and easily create inputs for power systems models

Power availability of PV plus thermal batteries in real-world electric power grids


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

Genetic control of body weight by the human brain proteome

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