Astronomical Dust Extinction

Carbon-enhanced metal-poor star candidates from BP/RP spectra in Gaia DR3

Nebular-phase spectra of Type Ia supernovae from the Las Cumbres Observatory Global Supernova Project

Monthly Notices of the Royal Astronomical Society

The optical and NIR spectrum of the Crab pulsar with X-shooter

The great escape: understanding the connection between Ly α emission and LyC escape in simulated JWST analogues

The long and the short of it: the benefits and leverage of ultraviolet-radio galaxy fitting

Sensitivity of JWST to eV-Scale Decaying Axion Dark Matter

Monitoring AGNs with Hβ Asymmetry. IV. First Reverberation Mapping Results of 14 Active Galactic Nuclei

The Astrophysical Journal Supplement Series


Korean BERT pre-trained cased (KoBERT)

KLUE: Korean Language Understanding Evaluation

SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)

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

BEEP! Korean Corpus of Online News Comments for Toxic Speech Detection

An Empirical Study of Tokenization Strategies for Various Korean NLP Tasks

KR-BERT: A Small-Scale Korean-Specific Language Model

Pre-training Polish Transformer-based Language Models at Scale

Exploring the Data Efficiency of Cross-Lingual Post-Training in Pretrained Language Models

APEACH: Attacking Pejorative Expressions with Analysis on Crowd-Generated Hate Speech Evaluation Datasets

K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment

KoreALBERT: Pretraining a Lite BERT Model for Korean Language Understanding


RAW image processing for Python, a wrapper for libraw

GenISP: Neural ISP for Low-Light Machine Cognition

Burst Photography for Learning to Enhance Extremely Dark Images

Raw or Cooked? Object Detection on RAW Images

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


Statistical climate downscaling in Python


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

The Three Hundred project: The gizmo-simba run

Monthly notices of the Royal Astronomical Society

mirkwood: Fast and Accurate SED Modeling Using Machine Learning

Quenching and the UVJ Diagram in the SIMBA Cosmological Simulation

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

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

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

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

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

Galaxy pairs inThe Three Hundredsimulations II: studying bound ones and identifying them via machine learning


A cross-platform and ultrafast toolkit for FASTA/Q file manipulation

SeqKit: A Cross-Platform and Ultrafast Toolkit for FASTA/Q File Manipulation

Einkorn genomics sheds light on history of the oldest domesticated wheat

A chromosome-level Amaranthus cruentus genome assembly highlights gene family evolution and biosynthetic gene clusters that may underpin the nutritional value of this traditional crop

The Plant journal : for cell and molecular biology

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

Systematic benchmarking of nanopore Q20+ kit in SARS-CoV-2 whole genome sequencing

Biallelic expansion in RFC1 as a rare cause of Parkinson’s disease

Haplotype assignment of longitudinal viral deep sequencing data using covariation of variant frequencies

Subgenome dominance shapes novel gene evolution in the decaploid pitcher plantNepenthes gracilis

Whole-Genome Sequence of Entomortierella parvispora E1425, a Mucoromycotan Fungus Associated with Burkholderiaceae-Related Endosymbiotic Bacteria

Active maintenance of CD8+ T cell naivety through regulation of global genome architecture

bioRxiv : the preprint server for biology


Experimental paradigm functions.

Auditory Brainstem Responses to Continuous Natural Speech in Human Listeners

The Parallel Auditory Brainstem Response

Exposing distinct subcortical components of the auditory brainstem response evoked by continuous naturalistic speech

Reading instruction causes changes in category-selective visual cortex


The Dispa-SET unit-commitment and optimal dispatch model, developed at the JRC

Evaluating the Potential Contribution of District Heating to the Flexibility of the Future Italian Power System


A large-scale dataset of both raw MRI measurements and clinical MRI images.

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

fastMRI: A Publicly Available Raw k-Space and DICOM Dataset of Knee Images for Accelerated MR Image Reconstruction Using Machine Learning

Score-based diffusion models for accelerated MRI

End-to-End Variational Networks for Accelerated MRI Reconstruction

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

Robust Compressed Sensing MRI with Deep Generative Priors

Advancing machine learning for MR image reconstruction with an open competition: Overview of the 2019 fastMRI challenge

Using Deep Learning to Accelerate Knee MRI at 3 T: Results of an Interchangeability Study

GrappaNet: Combining Parallel Imaging with Deep Learning for Multi-Coil MRI Reconstruction

Accelerated MRI with Un-trained Neural Networks


Carbon-Aware SDK

A Testbed for Carbon-Aware Applications and Systems


Creative Commons Attribution 4.0 International

Data and code behind the articles and graphics at FiveThirtyEight

Similarity encoding for learning with dirty categorical variables

Encoding High-Cardinality String Categorical Variables

IEEE Transactions on Knowledge and Data Engineering

Semantic projection: recovering human knowledge of multiple, distinct object features from word embeddings

Online Prediction with Selfish Experts

Analyzing Film Adaptation through Narrative Alignment

Association of state-level factors with rate of firearm-related deaths

Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation

International Conference on Computational Linguistics


Weakly Supervised Learning On Images

Exploring the Limits of Weakly Supervised Pretraining

Improving robustness against common corruptions by covariate shift adaptation

If your data distribution shifts, use self-learning

Beyond In-Domain Scenarios: Robust Density-Aware Calibration

Renmin University of China at TRECVID 2022: Improving Video Search by Feature Fusion and Negation Understanding


Face Mask Detection using Transfer Learning of InceptionV3

How to Correctly Detect Face-Masks for COVID-19 from Visual Information?

A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19

IEEE Transactions on Artificial Intelligence

Hybrid Deep Feature Generation for Appropriate Face Mask Use Detection

International journal of environmental research and public health

Automatic facial emotion recognition at the COVID-19 pandemic time

Real-time social distance measurement and face mask detection in public transportation systems during the COVID-19 pandemic and post-pandemic Era: Theoretical approach and case study in Italy Transportation Research Interdisciplinary Perspectives

Transportation research interdisciplinary perspectives

Mask Detection and Classification in Thermal Face Images

Limiting COVID-19 infection by automatic remote face mask monitoring and detection using deep learning with IoT

Eastern-European Journal of Enterprise Technologies

COVID-19 Face Mask Detection

International Journal for Research in Applied Science and Engineering Technology

Deep learning techniques for detecting and recognizing face masks: A survey


[CVPR 2020--Oral] CycleISP: Real Image Restoration via Improved Data Synthesis

Restormer: Efficient Transformer for High-Resolution Image Restoration

Multi-Stage Progressive Image Restoration

Learning Enriched Features for Real Image Restoration and Enhancement


Semantic Evaluation for Text-to-SQL with Distilled Test Suites

Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation

Skill-Based Few-Shot Selection for In-Context Learning

PET-SQL: A Prompt-Enhanced Two-Round Refinement of Text-to-SQL with Cross-consistency

Decomposition for Enhancing Attention: Improving LLM-based Text-to-SQL through Workflow Paradigm

Using LLM to select the right SQL Query from candidates

Latent Skill Discovery for Chain-of-Thought Reasoning

Improving Retrieval-augmented Text-to-SQL with AST-based Ranking and
  Schema Pruning

A multilingual translator to SQL with database schema pruning to improve self-attention

International journal of information technology


Invariant Information Clustering for Unsupervised Image Classification and Segmentation

Unsupervised Learning of Image Segmentation Based on Differentiable Feature Clustering

Anomaly Clustering: Grouping Images into Coherent Clusters of Anomaly Types

Learning Rotation Domain Deep Mutual Information Using Convolutional LSTM for Unsupervised PolSAR Image Classification


Social Ways: Learning Multi-Modal Distributions of Pedestrian Trajectories with GANs (CVPR 2019)

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networks

Improving Movement Predictions of Traffic Actors in Bird's-Eye View Models using GANs and Differentiable Trajectory Rasterization


A system to flag anomalous source code expressions by learning typical expressions from training data

ControlFlag: A Self-Supervised Idiosyncratic Pattern Detection System for Software Control Structures

Are Machine Programming Systems using Right Source-Code Measures to Select Code Repositories?


A set of pipelines and routines for echelle spectrographs

CERES: A Set of Automated Routines for Echelle Spectra

Publications of the Astronomical Society of the Pacific

An ultrahot Neptune in the Neptune desert

Evidence that the Hot Jupiter WASP-77 A b Formed Beyond Its Parent Protoplanetary Disk's H2O Ice Line

Zenodo (CERN European Organization for Nuclear Research)

Carbon monoxide emission lines reveal an inverted atmosphere in the ultra hot Jupiter WASP-33 b consistent with an eastward hot spot

Discovery of a brown dwarf companion to the star HIP 64892

Convective blueshift strengths of 810 F to M solar-type stars

Searching for new solar twins: The Inti survey for the Northern Sky

CAFE2: an upgrade to the CAFE high-resolution spectrograph. Commissioning results and new public pipeline

HiFLEx—A Highly Flexible Package to Reduce Cross-dispersed Echelle Spectra

Analysis of high-resolution FEROS spectroscopy for a sample of variable B-type stars assembled from TESS photometry


Raw nanopore signal mapper that enables real-time targeted sequencing

Targeted nanopore sequencing by real-time mapping of raw electrical signal with UNCALLED

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

International journal of molecular sciences

Nanopore adaptive sequencing for mixed samples, whole exome capture and targeted panels

RawHash: enabling fast and accurate real-time analysis of raw nanopore signals for large genomes

RawHash2: Accurate and Fast Mapping of Raw Nanopore Signals using a Hash-based Seeding Mechanism

Sigmoni: classification of nanopore signal with a compressed pangenome index


Julia implementation of MARGO, an idealized climate-economic modelling framework for Optimizing trade-offs between emissions Mitigation, Adaptation, carbon dioxide Removal, and solar Geoengineering.


SNV expectation maximisation based mutation calling algorithm aimed at detecting somatic mutations in paired (tumour/normal) cancer samples. Supports both bam and cram format via htslib

Prediction of acute myeloid leukaemia risk in healthy individuals

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

Tobacco smoking and somatic mutations in human bronchial epithelium

Community assessment to advance computational prediction of cancer drug combinations in a pharmacogenomic screen

Clonal dynamics of haematopoiesis across the human lifespan

Somatic mutations reveal asymmetric cellular dynamics in the early human embryo

Whole-genome sequencing of triple-negative breast cancers in a population-based clinical study

Life histories of myeloproliferative neoplasms inferred from phylogenies

Mapping single-cell transcriptomes in the intra-tumoral and associated territories of kidney cancer

Single cell derived mRNA signals across human kidney tumors


Flood-Filling Networks for instance segmentation in 3d volumes.

Large Volume Electron Microscopy and Neural Microcircuit Analysis

Flood-Filling Networks

AxonEM Dataset: 3D Axon Instance Segmentation of Brain Cortical Regions


Post hoc inference via multiple testing

Post hoc false positive control for structured hypotheses

Post hoc inference via joint family-wise error rate control

Post hoc false positive control for spatially structured hypotheses

On agnostic post hoc approaches to false positive control


A Python library to capture the energy consumption of code snippets

Energy-Efficient On-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing

Single neuromorphic memristor closely emulates multiple synaptic mechanisms for energy efficient neural networks

Extreme compression of sentence-transformer ranker models: faster inference, longer battery life, and less storage on edge devices

Efficiency metrics for auditory neuromorphic spike encoding techniques using information theory

Hybrid Heterogeneous Clusters Can Lower the Energy Consumption of LLM Inference Workloads

Offline Energy-Optimal LLM Serving: Workload-Based Energy Models for LLM
  Inference on Heterogeneous Systems


A deep learning-based tool to identify splice variants

Predicting Splicing from Primary Sequence with Deep Learning

CADD-Splice—improving genome-wide variant effect prediction using deep learning-derived splice scores

Genome-wide meta-analysis, fine-mapping and integrative prioritization implicate new Alzheimer’s disease risk genes

Whole-exome imputation within UK Biobank powers rare coding variant association and fine-mapping analyses

Interpretable prioritization of splice variants in diagnostic next-generation sequencing

Machine Learning Approaches for the Prioritization of Genomic Variants Impacting Pre-mRNA Splicing

Cross-ancestry genome-wide analysis of atrial fibrillation unveils disease biology and enables cardioembolic risk prediction

SPiP: Splicing Prediction Pipeline, a machine learning tool for massive detection of exonic and intronic variant effects on mRNA splicing

SpliceVault predicts the precise nature of variant-associated mis-splicing

MCAT Mutations Cause Nuclear LHON-like Optic Neuropathy


A toolbox for accurate single-trial estimates in fMRI time-series data

A massive 7T fMRI dataset to bridge cognitive neuroscience and artificial intelligence

Neural Correlates of Online Action Preparation

Improving the accuracy of single-trial fMRI response estimates using GLMsingle

The Spatiotemporal Neural Dynamics of Object Recognition for Natural Images and Line Drawings


Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

AutoML to Date and Beyond: Challenges and Opportunities

Sherpa: Robust Hyperparameter Optimization for Machine Learning

Assessing the Potential of Deep Learning for Emulating Cloud Superparameterization in Climate Models With Real‐Geography Boundary Conditions

Sparse autoregressive models for scalable generation of sparse images in particle physics

Learning in the Machine: To Share or Not to Share?

Learning to identify electrons

Deep-Learning-Based Kinematic Reconstruction for DUNE

Learning to isolate muons

Massively Parallel Genetic Optimization through Asynchronous Propagation of Populations

Interpretable Joint Event-Particle Reconstruction for Neutrino Physics at NOvA with Sparse CNNs and Transformers


Development repository for sea-ice column physics

The sensitivity of landfast sea ice to atmospheric forcing in single-column model simulations: a case study at Zhongshan Station, Antarctica


Some helpful preload libraries for pwning stuff.

Nyx-Net: Network Fuzzing with Incremental Snapshots

SnapFuzz: high-throughput fuzzing of network applications

Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis

MultiFuzz: A Coverage-Based Multiparty-Protocol Fuzzer for IoT Publish/Subscribe Protocols

A Survey of Protocol Fuzzing

Evaluating the Fork-Awareness of Coverage-Guided Fuzzers

Qualitative Analysis for Validating IEC 62443-4-2 Requirements in DevSecOps


See your city's air pollution measured in daily cigarettes. iOS/Android.


An open and flexible framework for developing enclave applications

Serdab: An IoT Framework for Partitioning Neural Networks Computation across Multiple Enclaves

undeSErVed trust: Exploiting Permutation-Agnostic Remote Attestation

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

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

Accelerating 2PC-based ML with Limited Trusted Hardware

Towards Efficiently Establishing Mutual Distrust Between Host Application and Enclave for SGX

Nitriding: A tool kit for building scalable, networked, secure enclaves


Ongoing analysis of COVID-19 using Galaxy, BioConda and public research infrastructures

Template switching and duplications in SARS-CoV-2 genomes give rise to insertion variants that merit monitoring

No more business as usual: Agile and effective responses to emerging pathogen threats require open data and open analytics

Freely accessible ready to use global infrastructure for SARS-CoV-2 monitoring

A SARS-CoV-2 sequence submission tool for the European Nucleotide Archive


PArametrized Recommendation and Ai Model benchmark is a repository for development of numerous uBenchmarks as well as end to end nets for evaluation of training and inference platforms.

Software-Hardware Co-design for Fast and Scalable Training of Deep Learning Recommendation Models

Enabling Compute-Communication Overlap in Distributed Deep Learning Training Platforms

International Symposium on Computer Architecture

AutoShard: Automated Embedding Table Sharding for Recommender Systems

DreamShard: Generalizable Embedding Table Placement for Recommender Systems

Mystique: Enabling Accurate and Scalable Generation of Production AI Benchmarks

Towards Universal Performance Modeling for Machine Learning Training on
  Multi-GPU Platforms


Repository of yara rules

Malware Makeover: Breaking ML-based Static Analysis by Modifying Executable Bytes

Query-Efficient Black-Box Attack Against Sequence-Based Malware Classifiers

Machine Learning Framework to Analyze IoT Malware Using ELF and Opcode Features

I-MAD: Interpretable malware detector using Galaxy Transformer

Packer Detection for Multi-Layer Executables Using Entropy Analysis

Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification

ChatIDS: Explainable Cybersecurity Using Generative AI

Towards practical intrusion detection system over encrypted traffic*

Assessing the Effectiveness of YARA Rules for Signature-Based Malware Detection and Classification

MVDroid: an android malicious VPN detector using neural networks


Applied generative adversarial networks (GANs) to do anomaly detection for time series data

MAD-GAN: Multivariate Anomaly Detection for Time Series Data with Generative Adversarial Networks

Real-valued (Medical) Time Series Generation with Recurrent Conditional GANs

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

Anomaly Detection with Generative Adversarial Networks for Multivariate Time Series

DTAAD: Dual Tcn-Attention Networks for Anomaly Detection in Multivariate Time Series Data

Generative Optimization Networks for Memory Efficient Data Generation

A Survey of Time Series Anomaly Detection Methods in the AIOps Domain


kuenm: An R package for detailed calibration and construction of Maxent Ecological Niche Models.

kuenm: an R package for detailed development of ecological niche models using Maxent

Current and Future Distribution of the Lone Star Tick, Amblyomma americanum (L.) (Acari: Ixodidae) in North America

Likely Geographic Distributional Shifts among Medically Important Tick Species and Tick-Associated Diseases under Climate Change in North America: A Review

Potential distributions of Bacillus anthracis and Bacillus cereus biovar anthracis causing anthrax in Africa

Predicting Distribution of the Asian Longhorned Beetle, Anoplophora glabripennis (Coleoptera: Cerambycidae) and Its Natural Enemies in China

Modeling the potential distribution of different types of Dendrocalamus sinicus, the strongest woody bamboo in the world, with MaxEnt model

Potential Suitable Habitats of Chili Pepper in China under Climate Change

Potentially suitable habitats of Daodi goji berry in China under climate change

Allele Surfing and Holocene Expansion of an Australian Fig (Ficus—Moraceae)

Predicting potential distribution of the Rhinoncus sibiricus under climatic in China using MaxEnt


Green Algorithms: Quantifying the carbon footprint of computation

eco2AI: Carbon Emissions Tracking of Machine Learning Models as the First Step Towards Sustainable AI

The Carbon Footprint of Bioinformatics


Stable diffusion for real-time music generation (web app)

MusicLM: Generating Music From Text

Simple and Controllable Music Generation

Noise2Music: Text-conditioned Music Generation with Diffusion Models


Data repository for pretrained NLP models and NLP corpora.

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

Bag of Tricks for Efficient Text Classification

Advances in Pre-Training Distributed Word Representations

Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package

A Study on Ranking Fusion Approaches for the Retrieval of Medical Publications

When FastText Pays Attention: Efficient Estimation of Word Representations using Constrained Positional Weighting

Contextual Bandits for Advertising Campaigns: A Diffusion-Model Independent Approach (Extended Version)

Estimating Glycemic Impact of Cooking Recipes via Online Crowdsourcing and Machine Learning

Proceedings of the 9th International Conference on Digital Public Health

Intrinsic analysis for dual word embedding space models


k-mer based assembly evaluation

Towards complete and error-free genome assemblies of all vertebrate species

Merqury: reference-free quality, completeness, and phasing assessment for genome assemblies

Semi-automated assembly of high-quality diploid human reference genomes

Complete vertebrate mitogenomes reveal widespread repeats and gene duplications

Comparative Analysis of Genotyping by Sequencing and Whole-Genome Sequencing Methods in Diversity Studies of Olea europaea L.

Scalable, accessible, and reproducible reference genome assembly and evaluation in Galaxy

Evaluating long-read de novo assembly tools for eukaryotic genomes: insights and considerations

Chromosome-Scale, Haplotype-Resolved Genome Assembly of Non-Sex-Reversal Females of Swamp Eel Using High-Fidelity Long Reads and Hi-C Data

Chromosome-Level Genome Assembly and Multi-Omics Dataset Provide Insights into Isoflavone and Puerarin Biosynthesis in Pueraria lobata (Wild.) Ohwi

The complete diploid reference genome of RPE-1 identifies human phased epigenetic landscapes


A tool for unsupervised projection of single cell RNA-seq data

Iterative transfer learning with neural network for clustering and cell type classification in single-cell RNA-seq analysis

A scalable sparse neural network framework for rare cell type annotation of single-cell transcriptome data


Lightweight converter between hic and cool contact matrices.

Single-cell CUT&Tag profiles histone modifications and transcription factors in complex tissues

Microchromosomes Exhibit Distinct Features of Vertebrate Chromosome Structure and Function with Underappreciated Ramifications for Genome Evolution

Non-coding variants disrupting a tissue-specific regulatory element in HK1 cause congenital hyperinsulinism

Stripenn detects architectural stripes from chromatin conformation data using computer vision

Chromatin organizer SATB1 controls the cell identity of CD4+ CD8+ double-positive thymocytes by compacting super-enhancers

Co-depletion of NIPBL and WAPL balance cohesin activity to correct gene misexpression

Multiomic analysis of cohesin reveals that ZBTB transcription factors contribute to chromatin interactions

Pentad: a tool for distance-dependent analysis of Hi-C interactions within and between chromatin compartments

Light control of three‐dimensional chromatin organization in soybean


Python code to interface with halo catalogs and other Abacus N-body data products

ABACUSSUMMIT: a massive set of high-accuracy, high-resolution N-body simulations

Monthly notices of the Royal Astronomical Society

Stringent σ8 constraints from small-scale galaxy clustering using a hybrid MCMC+emulator framework

AbacusHOD: A highly efficient extended multi-tracer HOD framework and its application to BOSS and eBOSS data

Going beyond the galaxy power spectrum: An analysis of BOSS data with wavelet scattering transforms

Illustrating galaxy–halo connection in the DESI era with illustrisTNG

Monthly Notices of the Royal Astronomical Society

The DESI One-Percent Survey: Exploring the Halo Occupation Distribution of Luminous Red Galaxies and Quasi-Stellar Objects with AbacusSummit

The halo light cone catalogues of AbacusSummit

Full forward model of galaxy clustering statistics with AbacusSummit lightcones

Precise cosmological constraints from BOSS galaxy clustering with a simulation-based emulator of the wavelet scattering transform

2D k-th nearest neighbor statistics: a highly informative probe of galaxy clustering


CheXpert NLP tool to extract observations from radiology reports.

CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison

Deep learning in generating radiology reports: A survey

Deep Mining External Imperfect Data for Chest X-ray Disease Screening

Structured dataset documentation: a datasheet for CheXpert

Cross-modal Contrastive Attention Model for Medical Report Generation

Significantly improving zero-shot X-ray pathology classification via fine-tuning pre-trained image-text encoders

Leveraging Professional Radiologists' Expertise to Enhance LLMs'
  Evaluation for Radiology Reports

Enhancing chest X-ray datasets with privacy-preserving large language models and multi-type annotations: a data-driven approach for improved classification


R package implementation of Milo for testing for differential abundance in KNN graphs

Cells of the human intestinal tract mapped across space and time

Differential abundance testing on single-cell data using k-nearest neighbor graphs

Milo: differential abundance testing on single-cell data using k-NN graphs

Competition between hematopoietic stem and progenitor cells controls hematopoietic stem cell compartment size

Clinicopathological and predictive value of MAIT cells in non-small cell lung cancer for immunotherapy

Regulation of endocrine cell alternative splicing revealed by single-cell RNA sequencing in type 2 diabetes pathogenesis


A Machine Learning System for Data Enrichment.

Kamino: Constraint-Aware Differentially Private Data Synthesis

Towards Interpretable and Learnable Risk Analysis for Entity Resolution

RTClean: Context-aware Tabular Data Cleaning using Real-time OFDs

Consistent data fusion with Parker

KGLiDS: A Platform for Semantic Abstraction, Linking, and Automation of Data Science


Pythonic Bayesian inference and visualization for the MultiNest Nested Sampling Algorithm and PyCuba's cubature algorithms.

A NICER View of PSR J0030+0451: Millisecond Pulsar Parameter Estimation

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

MadDM v.3.0: A comprehensive tool for dark matter studies

HELIOS–RETRIEVAL: An Open-source, Nested Sampling Atmospheric Retrieval Code; Application to the HR 8799 Exoplanets and Inferred Constraints for Planet Formation

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

PSR J0030+0451, GW170817, and the Nuclear Data: Joint Constraints on Equation of State and Bulk Properties of Neutron Stars

DEVELOPING ATMOSPHERIC RETRIEVAL METHODS FOR DIRECT IMAGING SPECTROSCOPY OF GAS GIANTS IN REFLECTED LIGHT. I. METHANE ABUNDANCES AND BASIC CLOUD PROPERTIES

A Survey of the Molecular ISM Properties of Nearby Galaxies using the
  Herschel FTS

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

Wind of change: retrieving exoplanet atmospheric winds from high-resolution spectroscopy


GFF and GTF file manipulation and interconversion

Giant lungfish genome elucidates the conquest of land by vertebrates

LABRAT reveals association of alternative polyadenylation with transcript localization, RNA binding protein expression, transcription speed, and cancer survival

easyfm: An easy software suite for file manipulation of Next Generation Sequencing data on desktops


A Python Perceptual Image Hashing Module

On the Origins of Memes by Means of Fringe Web Communities

Understanding Security Issues in the NFT Ecosystem

Image-Based Wheat Fungi Diseases Identification by Deep Learning

Characterizing the Use of Images in State-Sponsored Information Warfare Operations by Russian Trolls on Twitter

Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided Diffusion

Auditing Membership Leakages of Multi-Exit Networks

CIME: Context-aware geolocation of emergency-related posts

Understanding the Use of Fauxtography on Social Media

Procedural content generation using neuroevolution and novelty search for diverse video game levels

Proceedings of the Genetic and Evolutionary Computation Conference

DANLI: Deliberative Agent for Following Natural Language Instructions


PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.

Automated Machine Learning: Methods, Systems, Challenges

The Springer series on challenges in machine learning

PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison

Data-driven Advice for Applying Machine Learning to Bioinformatics Problems

Where are we now? A large benchmark study of recent symbolic regression methods

On Explaining Decision Trees

On Tackling Explanation Redundancy in Decision Trees

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence

Automated evolutionary approach for the design of composite machine learning pipelines

Using MaxSAT for Efficient Explanations of Tree Ensembles

THIRTY-SIXTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE / THIRTY-FOURTH CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE / THE TWELVETH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods

Exhaustive Symbolic Regression


Massive-Parallel Trajectory Calculations (MPTRAC) is a Lagrangian particle dispersion model for the analysis of atmospheric transport processes in the free troposphere and stratosphere.

From ERA-Interim to ERA5: considerable impact of ECMWF's next-generation reanalysis on Lagrangian transport simulations

Long-range transport of volcanic aerosol from the 2010 Merapi tropical eruption to Antarctica

Improved estimation of volcanic SO2 injections from satellite retrievals and Lagrangian transport simulations: the 2019 Raikoke eruption

Improved estimation of volcanic SO&lt;sub&gt;2&lt;/sub&gt; injections from satellite observations and Lagrangian transport simulations: the 2019 Raikoke eruption

Regional and seasonal truncation errors of trajectory calculationsusing ECMWF high-resolution operational analyses and forecasts


FOREST - Forecast and Observation Research and Evaluation Survey Tool


Python tools to access and analyse NuGrid output data (including from MESA)

NuGrid stellar data set – II. Stellar yields from H to Bi for stellar models with MZAMS = 1–25 M⊙ and Z = 0.0001–0.02

Type Ia supernovae from non-accreting progenitors

Isotopic ratios for C, N, Si, Al, and Ti in C-rich presolar grains from massive stars


Automated Machine Learning pipelines. Builds the Open Short Term Energy Forecasting package.


Understanding Deep Networks via Extremal Perturbations and Smooth Masks

Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey

Towards Better Explanations of Class Activation Mapping

The effectiveness of feature attribution methods and its correlation with automatic evaluation scores

Explaining Image Classifiers using Statistical Fault Localization

Explaining Classifiers using Adversarial Perturbations on the Perceptual Ball

Opti-CAM: Optimizing saliency maps for interpretability

TorchEsegeta: Framework for Interpretability and Explainability of Image-based Deep Learning Models

Simulator-based Explanation and Debugging of Hazard-triggering Events in DNN-based Safety-critical Systems

How explainable are adversarially-robust CNNs?


(m)6A (I)dentification Using (N)anopor(E) (S)equencing

Detection of m6A from direct RNA sequencing using a multiple instance learning framework

Full-Length Transcriptome of the Whale Shark (Rhincodon typus) Facilitates the Genome Information

Analysis approaches for the identification and prediction of N6-methyladenosine sites


Python package for dealing with the Halo Model

TheHaloMod: An online calculator for the halo model

The galaxy-halo connection in the VIDEO survey at 0.5 < z < 1.7

The halo model for cosmology: a pedagogical review

Intensity mapping cross-correlations II: HI halo models including shot noise

The environment and host haloes of the brightest z ~ 6 Lyman-break galaxies

Subaru High-z Exploration of Low-luminosity Quasars (SHELLQs). XVIII. The Dark Matter Halo Mass of Quasars at z ∼ 6

Extracting H I astrophysics from interferometric intensity mapping

Comparing galaxy clustering in Horizon-AGN simulated light-cone mocks and VIDEO observations


ICLR2024 Spotlight: curation/training code, metadata, distribution and pre-trained models for MetaCLIP; CVPR 2024: MoDE: CLIP Data Experts via Clustering

Scaling Up Visual and Vision-Language Representation Learning With Noisy Text Supervision

LAION-5B: An open large-scale dataset for training next generation image-text models

LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

Demystifying CLIP Data

MoDE: CLIP Data Experts via Clustering

UNIC: Universal Classification Models via Multi-teacher Distillation


Automatic Differentiation Library for Computational and Mathematical Engineering

Learning constitutive relations from indirect observations using deep neural networks

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

A general approach to seismic inversion with automatic differentiation

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

Inverse Modeling of Viscoelasticity Materials using Physics Constrained Learning

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

Distributed Machine Learning for Computational Engineering using MPI

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

Adversarial Numerical Analysis for Inverse Problems

Learning Hidden Dynamics using Intelligent Automatic Differentiation


Integrating the TensorFlow 1.15 C-API into OpenFOAM 5.0 for data-driven CFD algorithm development

A turbulent eddy-viscosity surrogate modeling framework for Reynolds-Averaged Navier-Stokes simulations

Deploying deep learning in OpenFOAM with TensorFlow

Machine learning accelerated turbulence modeling of transient flashing jets


To make it easy to benchmark AI accelerators

XSP: Across-Stack Profiling and Analysis of Machine Learning Models on GPUs

AI Matrix: A Deep Learning Benchmark for Alibaba Data Centers

Benanza: Automatic μBenchmark Generation to Compute "Lower-bound" Latency and Inform Optimizations of Deep Learning Models on GPUs

International Parallel and Distributed Processing Symposium


The complete sequence of a human genome

The complete sequence of a human genome

Telomere-to-telomere assembly of a complete human X chromosome

HiCanu: accurate assembly of segmental duplications, satellites, and allelic variants from high-fidelity long reads

Nanopore sequencing and the Shasta toolkit enable efficient de novo assembly of eleven human genomes

Complete genomic and epigenetic maps of human centromeres

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

A complete reference genome improves analysis of human genetic variation

Segmental duplications and their variation in a complete human genome

Epigenetic Patterns in a Complete Human Genome

From telomere to telomere: the transcriptional and epigenetic state of human repeat elements


Python workflow for DP5 and DP4 analysis of organic molecules

NWChem: Past, present, and future

DP4-AI Automated NMR Data Analysis: Straight from Spectrometer to Structure

The DP5 probability, quantification and visualisation of structural uncertainty in single molecules

The DP5 Probability, Quantification and Visualisation of Structural Uncertainty in Single Molecules


pycoQC computes metrics and generates Interactive QC plots from the sequencing summary report generated by Oxford Nanopore technologies basecaller (Albacore/Guppy)

Long-Read Sequencing Improves the Detection of Structural Variations Impacting Complex Non-Coding Elements of the Genome

Selective whole-genome sequencing ofPlasmodiumparasites directly from blood samples by Nanopore adaptive sampling

Genotyping of familial Mediterranean fever gene (MEFV)—Single nucleotide polymorphism—Comparison of Nanopore with conventional Sanger sequencing

Minimal detection and low biological fluctuation of mitochondrial CpG methylation at the single-molecule level

Completing the Puzzle: A Cluster of Hunting Dogs with Tick-Borne Illness from a Fishing Community in Tobago, West Indies


An Open Source Tools for Speaker Recognition

Improving Accent Identification and Accented Speech Recognition Under a Framework of Self-supervised Learning

Oriental Language Recognition (OLR) 2020: Summary and Analysis

ASVtorch toolkit: Speaker verification with deep neural networks

Towards A Unified Conformer Structure: from ASR to ASV Task

When Speaker Recognition Meets Noisy Labels: Optimizations for Front-ends and Back-ends

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

Wavelet Scattering Transform for Improving Generalization in Low-Resourced Spoken Language Identification


A pyTorch implementation of the DeepMoji model: state-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc

Using millions of emoji occurrences to learn any-domain representations for detecting sentiment, emotion and sarcasm

Empirical Methods in Natural Language Processing

Tree LSTMs with Convolution Units to Predict Stance and Rumor Veracity in Social Media Conversations

Meeting of the Association for Computational Linguistics

Seq2Emo for Multi-label Emotion Classification Based on Latent Variable Chains Transformation

On the Impact of Word Error Rate on Acoustic-Linguistic Speech Emotion Recognition: An Update for the Deep Learning Era

Let Me Choose: From Verbal Context to Font Selection

Modulating Language Models with Emotions

Stance in Replies and Quotes (SRQ): A New Dataset For Learning Stance in Twitter Conversations

Fuzzy-Rough Nearest Neighbour Approaches for Emotion Detection in Tweets

Towards a Multi-Dataset for Complex Emotions Learning Based on Deep Neural Networks


Source code of FUMA GWAS web application

Functional mapping and annotation of genetic associations with FUMA

Association of Polygenic Variants with Type 2 Diabetes Risk and Their Interaction with Lifestyles in Asians

Association of Polygenic Variants Involved in Immunity and Inflammation with Duodenal Ulcer Risk and Their Interaction with Irregular Eating Habits

Height-Related Polygenic Variants Are Associated with Metabolic Syndrome Risk and Interact with Energy Intake and a Rice-Main Diet to Influence Height in KoGES

Independent Genomic Sources of Brain Structure and Function


Making Classifier Chains Resilient to Class Imbalance

Analysis and Optimization of Loss Functions for Multiclass, Top-k, and Multilabel Classification

Multi-Label Sampling based on Local Label Imbalance

Synthetic Oversampling of Multi-Label Data based on Local Label Distribution


VGG19 and VGG16 on Tensorflow

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

Localizing and Quantifying Damage in Social Media Images

Attribute-Consistent Knowledge Graph Representation Learning for Multi-Modal Entity Alignment

IMF: Interactive Multimodal Fusion Model for Link Prediction

DARVIZ: Deep Abstract Representation, Visualization, and Verification of Deep Learning Models

International Conference on Software Engineering

Dual-Gated Fusion with Prefix-Tuning for Multi-Modal Relation Extraction

Learning Twofold Heterogeneous Multi-Task by Sharing Similar Convolution Kernel Pairs

Text-Video Retrieval via Variational Multi-Modal Hypergraph Networks

Learning multi-tasks with inconsistent labels by using auxiliary big task

Multi-Modal Knowledge Graph Transformer Framework for Multi-Modal Entity Alignment


Open-source implementation of Google Vizier for hyper parameters tuning

Google Vizier: A Service for Black-Box Optimization

Hyper-Parameter Optimization: A Review of Algorithms and Applications

Benchmark and Survey of Automated Machine Learning Frameworks

Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better

AutoML to Date and Beyond: Challenges and Opportunities

Survey on Automated Machine Learning.

Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization

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

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


CAMISIM: Simulating metagenomes and microbial communities

CAMISIM: simulating metagenomes and microbial communities

Terabase-scale metagenome coassembly with MetaHipMer

MetaBinner: a high-performance and stand-alone ensemble binning method to recover individual genomes from complex microbial communities


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

Relational inductive biases, deep learning, and graph networks

Order Matters: Sequence to sequence for sets

Recent advances and applications of deep learning methods in materials science

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

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

Predicting Kovats Retention Indices Using Graph Neural Networks

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

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

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


Data catalog for the Microsoft Planetary Computer


Automatic program repair system for Java based on dynamic analysis and code synthesis with SMT. Also contains the code of Dynamoth.

Nopol: Automatic Repair of Conditional Statement Bugs in Java Programs

IEEE Transactions on Software Engineering

ARJA: Automated Repair of Java Programs via Multi-Objective Genetic Programming

A snowballing literature study on test amplification

Automatic Repair of Real Bugs: An Experience Report on the Defects4J Dataset

Revisiting ssFix for Better Program Repair

Dynamic Analysis can be Improved with Automatic Test Suite Refactoring


Create emissions inputs for multiple air quality modeling systems with unmatched speed and flexibility


Vector Particle-In-Cell (VPIC) Project

Magnetic Energy Release, Plasma Dynamics, and Particle Acceleration in Relativistic Turbulent Magnetic Reconnection

First-principles theory of the rate of magnetic reconnection in magnetospheric and solar plasmas

A semi-implicit, energy- and charge-conserving particle-in-cell algorithm for the relativistic Vlasov-Maxwell equations

The two-fluid dynamics and energetics of the asymmetric magnetic reconnection in laboratory and space plasmas

Astrophysical Explosions Revisited: Collisionless Coupling of Debris to Magnetized Plasma

A drift kinetic model for the expander region of a magnetic mirror

The force balance of electrons during kinetic anti-parallel magnetic reconnection

2D Reconstruction of Magnetotail Electron Diffusion Region Measured by MMS

A drift-kinetic method for obtaining gradients in plasma properties from single-point distribution function data

Journal of Geophysical Research: Space Physics


Semi-supervised learning for peptide identification from shotgun proteomics datasets

Flexible Data Analysis Pipeline for High-Confidence Proteogenomics

A Framework for Quality Control in Quantitative Proteomics

bioRxiv : the preprint server for biology

RNxQuest: An Extension to the xQuest Pipeline Enabling Analysis of Protein–RNA Cross-Linking/Mass Spectrometry Data


Run any open-source LLMs, such as Llama, Gemma, as OpenAI compatible API endpoint in the cloud.

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

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

SqueezeLLM: Dense-and-Sparse Quantization

Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

A Survey of Resource-efficient LLM and Multimodal Foundation Models

Model Compression and Efficient Inference for Large Language Models: A
  Survey

Position: Leverage Foundational Models for Black-Box Optimization

On-Device Language Models: A Comprehensive Review

Block Transformer: Global-to-Local Language Modeling for Fast Inference

Clinical information extraction for Low-resource languages with Few-shot
  learning using Pre-trained language models and Prompting


MILC collaboration code for lattice QCD calculations

FK /Fπ from Möbius domain-wall fermions solved on gradient-flowed HISQ ensembles

Scale setting the Möbius domain wall fermion on gradient-flowed HISQ action using the omega baryon mass and the gradient-flow scales t0 and w0

SIMULATeQCD: A simple multi-GPU lattice code for QCD calculations

Lattice QCD Application Development within the US DOE Exascale Computing Project

OSTI OAI (U.S. Department of Energy Office of Scientific and Technical Information)

Efficient integration of gradient flow in lattice gauge theory and properties of low-storage commutator-free Lie group methods

Application Experiences on a GPU-Accelerated Arm-based HPC Testbed

Density of states for gravitational waves

Bridging Control-Centric and Data-Centric Optimization

Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization

Scale setting the Möbius Domain Wall Fermion on gradient-flowed HISQ action using the omega baryon mass and the gradient-flow scale w_0

Funny business from the large N_c finite temperature crossover


Gridpoint Statistical Interpolation

Strategies for Assimilating High-Density Atmospheric Motion Vectors into a Regional Tropical Cyclone Forecast Model (HWRF)

Assessment of the data assimilation framework for the Rapid Refresh Forecast System v0.1 and impacts on forecasts of a convective storm case study

Assessment of the data assimilation framework for the Rapid Refresh Forecast System v0.1 and impacts on forecasts of convective storms


Code and resources for "FC4 : Fully Convolutional Color Constancy with Confidence-weighted Pooling" (CVPR 2017)

FC^4: Fully Convolutional Color Constancy with Confidence-Weighted Pooling

CNN-Based Illumination Estimation with Semantic Information

Self-adaptive Single and Multi-illuminant Estimation Framework based on Deep Learning


SOTA Semantic Segmentation Models in PyTorch

A ConvNet for the 2020s

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

Unified Perceptual Parsing for Scene Understanding

PVT v2: Improved baselines with Pyramid Vision Transformer

MetaFormer is Actually What You Need for Vision

Visual attention network

ResNet strikes back: An improved training procedure in timm

Semantic Flow for Fast and Accurate Scene Parsing

HarDNet: A Low Memory Traffic Network

UniFormer: Unifying Convolution and Self-attention for Visual Recognition


Generate an interactive dot plot from mummer or minimap alignments

Genome evolution and diversity of wild and cultivated potatoes

Gapless assembly of maize chromosomes using long-read technologies

Improved genome assembly and pan-genome provide key insights into eggplant domestication and breeding

The Plant journal : for cell and molecular biology

Genome and time-of-day transcriptome of Wolffia australiana link morphological minimization with gene loss and less growth control

Effect of sequence depth and length in long-read assembly of the maize inbred NC358

Gamete binning: chromosome-level and haplotype-resolved genome assembly enabled by high-throughput single-cell sequencing of gamete genomes

The Gossypium longicalyx Genome as a Resource for Cotton Breeding and Evolution

De novo assembly of human genome at single-cell levels

Chromosome-level and haplotype-resolved genome assembly enabled by high-throughput single-cell sequencing of gamete genomes

A Chromosome-Scale Assembly of the Wheat Leaf Rust Pathogen Puccinia triticina Provides Insights Into Structural Variations and Genetic Relationships With Haplotype Resolution


Molecule Validation and Standardization

Learning To Navigate The Synthetically Accessible Chemical Space Using Reinforcement Learning

Molecular Generation with Recurrent Neural Networks (RNNs)

DeepFrag: a deep convolutional neural network for fragment-based lead optimization

NP-Scout: Machine Learning Approach for the Quantification and Visualization of the Natural Product-Likeness of Small Molecules

A deep-learning view of chemical space designed to facilitate drug discovery

Skin Doctor: Machine Learning Models for Skin Sensitization Prediction that Provide Estimates and Indicators of Prediction Reliability

International journal of molecular sciences

Identification and New Indication of Melanin-Concentrating Hormone Receptor 1 (MCHR1) Antagonist Derived from Machine Learning and Transcriptome-Based Drug Repositioning Approaches

PredPS: Attention-based graph neural network for predicting stability of compounds in human plasma

Computational and structural biotechnology journal

Molecular Similarity Perception Based on Machine-Learning Models

Development and Experimental Validation of Regularized Machine Learning Models Detecting New, Structurally Distinct Activators of PXR


BlendedMVS: A Large-scale Dataset for Generalized Multi-view Stereo Networks

Neural Sparse Voxel Fields

Depth Pro: Sharp Monocular Metric Depth in Less Than a Second


code for Image Manipulation Detection by Multi-View Multi-Scale Supervision

MVSS-Net: Multi-View Multi-Scale Supervised Networks for Image Manipulation Detection

IEEE transactions on pattern analysis and machine intelligence

AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics

Rethinking Image Forgery Detection via Contrastive Learning and Unsupervised Clustering

ReLoc: A Restoration-Assisted Framework for Robust Image Tampering Localization

IMDL-BenCo: A Comprehensive Benchmark and Codebase for Image Manipulation Detection & Localization

Toward Real Text Manipulation Detection: New Dataset and New Solution

MSMG-Net: Multi-scale Multi-grained Supervised Metworks for Multi-task Image Manipulation Detection and Localization


A tensorflow implementation of Knowledge Graph Convolutional Networks

Knowledge Graph Convolutional Networks for Recommender Systems

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)

Multi-Task Feature Learning for Knowledge Graph Enhanced Recommendation


Access data and resources hosted by the Atlas of Living Australia (ALA)

The Atlas of Living Australia: History, current state and future directions

Leaf Economic and Hydraulic Traits Signal Disparate Climate Adaptation Patterns in Two Co-Occurring Woodland Eucalypts


An open large-scale dataset for training high-resolution physics emulators in hybrid multi-scale climate simulators.

ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation


Python package for implementing a number of Machine Learning, Randomized Optimization and SEarch algorithms.

SemEval-2020 Task 1: Unsupervised Lexical Semantic Change Detection

Counterfactual Explanations for Multivariate Time Series

2021 International Conference on Applied Artificial Intelligence (ICAPAI)

Multi-Agent Reinforcement Learning for Visibility-based Persistent Monitoring

OneStopTuner: An End to End Architecture for JVM Tuning of Spark Applications

Improvements for mlrose applied to the Traveling Salesperson Problem


Nishang - Offensive PowerShell for red team, penetration testing and offensive security.

On Attacking Kerberos Authentication Protocol in Windows Active Directory Services: A Practical Survey

Hijacking .NET to Defend PowerShell

Evaluation of Local Security Event Management System vs. Standard Antivirus Software


Systematic conservation prioritization in R

Economics and optics influence funding for ecological restoration in a nation-wide program


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

Automated Essay Scoring based on Two-Stage Learning

Learning to combine Grammatical Error Corrections

Neural and FST-based approaches to grammatical error correction

Workshop on Innovative Use of NLP for Building Educational Applications

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

Did Translation Models Get More Robust Without Anyone Even Noticing?


Silero Models: pre-trained speech-to-text, text-to-speech and text-enhancement models made embarrassingly simple

NANSY++: Unified Voice Synthesis with Neural Analysis and Synthesis

Sporthesia: Augmenting Sports Videos Using Natural Language

TIMIT-TTS: A Text-to-Speech Dataset for Multimodal Synthetic Media Detection

MediaSpeech: Multilanguage ASR Benchmark and Dataset

Movie Genre Classification by Language Augmentation and Shot Sampling

Hearing voices at the National Library -- a speech corpus and acoustic model for the Swedish language

Intelligent Video Editing: Incorporating Modern Talking Face Generation Algorithms in a Video Editor.

Proceedings of the Twelfth Indian Conference on Computer Vision, Graphics and Image Processing

An Analysis of Semantically-Aligned Speech-Text Embeddings

EfficientWord-Net: An Open Source Hotword Detection Engine Based on Few-Shot Learning

Alternative Interfaces for Human-initiated Natural Language Communication and Robot-initiated Haptic Feedback: Towards Better Situational Awareness in Human-Robot Collaboration


Albacore is a professional quality suite of Rake tasks for building .NET or Mono based systems.

Genetic Biomonitoring and Biodiversity Assessment Using Portable Sequencing Technologies: Current Uses and Future Directions

Long-fragment targeted capture for long read sequencing of plastomes

Anaerobic oxidation of propane coupled to nitrate reduction by a lineage within the class Symbiobacteriia

Complete Genome Sequence of the Novel Cellulolytic, Anaerobic, Thermophilic Bacterium Herbivorax saccincola Type Strain GGR1, Isolated from a Lab Scale Biogas Reactor as Established by Illumina and Nanopore MinION Sequencing

UNAGI: an automated pipeline for nanopore full-length cDNA sequencing uncovers novel transcripts and isoforms in yeast

Real-time, MinION-based, amplicon sequencing for lineage typing of infectious bronchitis virus from upper respiratory samples

Mobile Plasmid Mediated Transition From Colistin-Sensitive to Resistant Phenotype in Klebsiella pneumoniae

Complete plastome of three Korean Asarum (Aristolochiaceae): confirmation tripartite structure within Korean Asarum and comparative analyses

Zenodo (CERN European Organization for Nuclear Research)

Draft Genome Sequence of the Lactococcus lactis 11/19-B1 Strain, Isolated from Kiwifruit


icclim: Python library for climate indices and climate indicators calculation.

Access to Analysis and Climate Indices Tools for Climate Researchers and End Users

icclim: Calculating Climate Indices and Indicators Made Easy


This project hosts security advisories and their accompanying proof-of-concepts related to research conducted at Google which impact non-Google owned code.

KernJC: Automated Vulnerable Environment Generation for Linux Kernel
  Vulnerabilities


Source code for end-to-end dialogue model from the MultiWOZ paper (Budzianowski et al. 2018, EMNLP)

MultiWOZ - A Large-Scale Multi-Domain Wizard-of-Oz Dataset for Task-Oriented Dialogue Modelling

MultiWOZ 2.1: A Consolidated Multi-Domain Dialogue Dataset with State Corrections and State Tracking Baselines

MultiWOZ 2.2 : A Dialogue Dataset with Additional Annotation Corrections and State Tracking Baselines

RedditBias: A Real-World Resource for Bias Evaluation and Debiasing of Conversational Language Models

Semantically Conditioned Dialog Response Generation via Hierarchical Disentangled Self-Attention

ConvLab: Multi-Domain End-to-End Dialog System Platform

DialogBERT: Discourse-Aware Response Generation via Learning to Recover and Rank Utterances

Alternating Recurrent Dialog Model with Large-scale Pre-trained Language Models

Description-Driven Task-Oriented Dialog Modeling

Transferable Dialogue Systems and User Simulators


BloombergGPT: A Large Language Model for Finance

BioMedLM: A 2.7B Parameter Language Model Trained On Biomedical Text

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

UMASS_BioNLP at MEDIQA-Chat 2023: Can LLMs generate high-quality synthetic note-oriented doctor-patient conversations?

Effective Natural Language Processing Algorithms for Early Alerts of Gout Flares from Chief Complaints


ASTER in Pytorch

ASTER: An Attentional Scene Text Recognizer with Flexible Rectification

Scene Text Image Super-Resolution in the Wild

Text Prior Guided Scene Text Image Super-Resolution

TextSR: Content-Aware Text Super-Resolution Guided by Recognition

Rethinking Irregular Scene Text Recognition

FedOCR: Communication-Efficient Federated Learning for Scene Text Recognition

TextMatcher: Cross-Attentional Neural Network to Compare Image and Text


Locating and editing factual associations in GPT (NeurIPS 2022)

Locating and Editing Factual Associations in GPT

Editing Factual Knowledge in Language Models

Knowledge Neurons in Pretrained Transformers

Fast Model Editing at Scale

Can We Edit Factual Knowledge by In-Context Learning?

Aging with GRACE: Lifelong Model Editing with Discrete Key-Value Adaptors

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

Untying the Reversal Curse via Bidirectional Language Model Editing

Model Editing Harms General Abilities of Large Language Models: Regularization to the Rescue

WISE: Rethinking the Knowledge Memory for Lifelong Model Editing of
  Large Language Models


Code for our ACL 2021 paper - ConSERT: A Contrastive Framework for Self-Supervised Sentence Representation Transfer

Differentiable Data Augmentation for Contrastive Sentence Representation Learning

Unsupervised Sentence Representation Learning with Frequency-induced Adversarial Tuning and Incomplete Sentence Filtering

A Low-Cost, Controllable and Interpretable Task-Oriented Chatbot: With Real-World After-Sale Services as Example


Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning

CellViT: Vision Transformers for Precise Cell Segmentation and Classification

A General-Purpose Self-Supervised Model for Computational Pathology

Automatic Report Generation for Histopathology images using pre-trained Vision Transformers and BERT


Official PyTorch implementation for paper: Diffusion-GAN: Training GANs with Diffusion

Towards the Detection of Diffusion Model Deepfakes

Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

Enhancing Unsupervised Speech Recognition with Diffusion GANs

Diffusion-RPO: Aligning Diffusion Models through Relative Preference Optimization


A package to run AI weather models

Do AI models produce better weather forecasts than physics-based models? A quantitative evaluation case study of Storm Ciarán

ChaosBench: A Multi-Channel, Physics-Based Benchmark for
  Subseasonal-to-Seasonal Climate Prediction

Emerging AI-based weather prediction models as downscaling tools

Robustness of AI-based weather forecasts in a changing climate


A bridge betwwen the ROS ecosystem and AI Habitat.

Habitat: A Platform for Embodied AI Research

Habitat 2.0: Training Home Assistants to Rearrange their Habitat

ROS-X-Habitat: Bridging the ROS Ecosystem with Embodied AI


Metapackage for brightway2 imports and documentation


Convolutions for Sequence Modeling

Hungry Hungry Hippos: Towards Language Modeling with State Space Models

Hyena Hierarchy: Towards Larger Convolutional Language Models

Zoology: Measuring and Improving Recall in Efficient Language Models

Simple Hardware-Efficient Long Convolutions for Sequence Modeling

Simple linear attention language models balance the recall-throughput tradeoff

MIMONets: Multiple-Input-Multiple-Output Neural Networks Exploiting Computation in Superposition

Efficient Classification of Long Documents via State-Space Models

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing


Ethereum contract for Bitcoin SPV: Live on https://etherscan.io/address/0x41f274c0023f83391de4e0733c609df5a124c3d4

A Survey on Blockchain Interoperability: Past, Present, and Future Trends

Enabling Cross-Chain Transactions: A Decentralized Cryptocurrency Exchange Protocol

Towards Interoperable Blockchains: A Survey on the Role of Smart Contracts in Blockchain Interoperability

Survey of crosschain communications protocols

Atomic Crosschain Transactions for Ethereum Private Sidechains

A Game-Theoretic Analysis of Cross-Chain Atomic Swaps with HTLCs

A Survey on Cross-Chain Technology: Challenges, Development, and Prospect

Verilay: A Verifiable Proof of Stake Chain Relay

Verifiable Computing Applications in Blockchain

SmartSync: Cross-Blockchain Smart Contract Interaction and Synchronization


High Quality Monocular Depth Estimation via Transfer Learning

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

Task-Aware Monocular Depth Estimation for 3D Object Detection

Natural Posterior Network: Deep Bayesian Uncertainty for Exponential Family Distributions

Densely Deformable Efficient Salient Object Detection Network

Potential Obstacle Detection Using RGB to Depth Image Encoder–Decoder Network: Application to Unmanned Aerial Vehicles

Adaptable 2D to 3D Stereo Vision Image Conversion Based on a Deep Convolutional Neural Network and Fast Inpaint Algorithm


Public version of PolyChord: See polychord.co.uk for PolyChordPro

Common-red-signal analysis with 24-yr high-precision timing of the European Pulsar Timing Array: Inferences in the stochastic gravitational-wave background search

Monthly Notices of the Royal Astronomical Society

On the detection of a cosmic dawn signal in the radio background

Assessing tension metrics with dark energy survey and Planck data

Astrophysical constraints from the SARAS 3 non-detection of the cosmic dawn sky-averaged 21-cm signal

Robust sampling for weak lensing and clustering analyses with the Dark Energy Survey

Cosmology beyond BAO from the 3D distribution of the Lyman-α forest

Monthly notices of the Royal Astronomical Society

The Alcock–Paczyński effect from Lyman-α forest correlations: analysis validation with synthetic data

Compromise-free Bayesian neural networks

Bayesian model comparison for simulation-based inference

Invariant polynomials and machine learning


Python library for direct access to ICOS time series data.


PASSL包含 SimCLR，MoCo v1/v2，BYOL，CLIP，PixPro，simsiam, SwAV, BEiT，MAE   等图像自监督算法以及 Vision Transformer，DEiT，Swin Transformer，CvT，T2T-ViT，MLP-Mixer，XCiT，ConvNeXt，PVTv2 等基础视觉算法

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Learning Transferable Visual Models From Natural Language Supervision

Momentum Contrast for Unsupervised Visual Representation Learning

Bootstrap your own latent: A new approach to self-supervised Learning

A ConvNet for the 2020s

Emerging Properties in Self-Supervised Vision Transformers

Exploring Simple Siamese Representation Learning

Unsupervised Learning of Visual Features by Contrasting Cluster Assignments

MLP-Mixer: An all-MLP Architecture for Vision


New LandBOSSE Model (Developed in 2018-2019)


Climate Model Output Rewriter


Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.

A Cooperative Multi-Agent Reinforcement Learning Framework for Resource Balancing in Complex Logistics Network

An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility

Hindsight Learning for MDPs with Exogenous Inputs

Cooperative Policy Learning with Pre-trained Heterogeneous Observation Representations


A pytorch reimplementation of CheXNet

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

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

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

Learning to diagnose from scratch by exploiting dependencies among labels

CovidAID: COVID-19 Detection Using Chest X-Ray

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

Towards Evaluating the Robustness of Deep Diagnostic Models by Adversarial Attack

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

Discovering and Mitigating Visual Biases through Keyword Explanation

COVID-19 Detection using Chest X-Ray

International Journal of Circuits, Systems and Signal Processing

An Aggregate Method for Thorax Diseases Classification


An efficient and consistent bundle adjustment for lidar mapping

BALM: Bundle Adjustment for Lidar Mapping

Efficient and Consistent Bundle Adjustment on Lidar Point Clouds

ECTLO: Effective Continuous-time Odometry Using Range Image for LiDAR with Small FoV


"Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions", ACM Multimedia 2020

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

SDMuse: Stochastic Differential Music Editing and Generation via Hybrid Representation


Easy stellar SED fitting!

ariadne: measuring accurate and precise stellar parameters through SED fitting

An ultrahot Neptune in the Neptune desert

Revisiting bright delta Scuti stars and their period-luminosity relation with TESS and Gaia DR3

Five young δ Scuti stars in the Pleiades seen with Kepler/K2

Phase curve and geometric albedo of WASP-43b measured with CHEOPS, TESS, and HST WFC3/UVIS

NEID Rossiter–McLaughlin Measurement of TOI-1268b: A Young Warm Saturn Aligned with Its Cool Host Star

TOI-2196 b: Rare planet in the hot Neptune desert transiting a G-type star

The nearest neutron star candidate in a binary revealed by optical time-domain surveys

中国科学. 物理学 力学 天文学

TOI-1670 b and c: An Inner Sub-Neptune with an Outer Warm Jupiter Unlikely to Have Originated from High-eccentricity Migration

TOI-2046b, TOI-1181b, and TOI-1516b, three new hot Jupiters from TESS: planets orbiting a young star, a subgiant, and a normal star


Topology weighting by iterative sampling of sub-trees

Recombination rate variation shapes barriers to introgression across butterfly genomes

Exploring Evolutionary Relationships Across the Genome Using Topology Weighting

Cortex cis-regulatory switches establish scale colour identity and pattern diversity in Heliconius

Introgression among North American wild grapes (Vitis) fuels biotic and abiotic adaptation

Hybrid speciation driven by multilocus introgression of ecological traits

Genomic conservation of crop wild relatives: A case study of citrus

Ecological Diversification in an Adaptive Radiation of Plants: The Role of De Novo Mutation and Introgression

bioRxiv : the preprint server for biology


Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch

MusicLM: Generating Music From Text

MuLan: A Joint Embedding of Music Audio and Natural Language

Dual PatchNorm


Deep Learning with Tensor Flow for EEG MNE Epoch Objects

Deep learning-based electroencephalography analysis: a systematic review

Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks

Real-Time Sleep Staging using Deep Learning on a Smartphone for a Wearable EEG

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


DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text

Can LLMs Solve longer Math Word Problems Better?


MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects

BundleTrack: 6D Pose Tracking for Novel Objects without Instance or Category-Level 3D Models

RGB-D Odometry and SLAM

Evaluating the Impact of Semantic Segmentation and Pose Estimation on Dense Semantic SLAM


Extract video features from raw videos using multiple GPUs. We support RAFT flow frames as well as S3D, I3D, R(2+1)D, VGGish, CLIP, and TIMM models.

Multi-modal Dense Video Captioning

A Better Use of Audio-Visual Cues: Dense Video Captioning with Bi-modal Transformer

Taming Visually Guided Sound Generation

VGMShield: Mitigating Misuse of Video Generative Models

A MIL Approach for Anomaly Detection in Surveillance Videos from Multiple Camera Views


Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

HoloGAN: Unsupervised Learning of 3D Representations From Natural Images

IEEE International Conference on Computer Vision

Unsupervised Learning via Meta-Learning

Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review

Ten years of generative adversarial nets (GANs): a survey of the state-of-the-art

HoloGAN: Unsupervised learning of 3D representations from natural images

Compositional Image Decomposition with Diffusion Models


DCC uses output from the STAR read mapper to systematically detect back-splice junctions in next-generation sequencing data. DCC applies a series of filters and integrates data across replicate sets to arrive at a precise list of circRNA candidates.

An atlas of cortical circular RNA expression in Alzheimer disease brains demonstrates clinical and pathological associations

Global accumulation of circRNAs during aging in Caenorhabditis elegans

Circular RNAs: Methodological challenges and perspectives in cardiovascular diseases

Journal of cellular and molecular medicine

NOVA2 regulates neural circRNA biogenesis

Advances in circular RNAs and their role in glioma (Review)

circUSP42 Is Downregulated in Triple-Negative Breast Cancer and Associated With Poor Prognosis

Technology in cancer research & treatment

Reverse complementary matches simultaneously promote both back-splicing and exon-skipping

Computational approaches for circRNAs prediction and in silico characterization

circPLIN2 promotes clear cell renal cell carcinoma progression by binding IGF2BP proteins and miR-199a-3p


Kinematic and static rupture forward modeling and inversion code

Sub- and super-shear ruptures during the 2023 Mw 7.8 and Mw 7.6 earthquake doublet in SE Türkiye

Microzoning Tsunami Hazard by Combining Flow Depths and Arrival Times

Source Model and Characteristics of the 27 July 2022 MW 7.0 Northwestern Luzon Earthquake, Philippines

Rupture Models of the 2016 Central Italy Earthquake Sequence from Joint Inversion of Strong-Motion and InSAR Datasets: Implications for Fault Behavior

The 2020 Mw 7.0 Samos (Eastern Aegean Sea) Earthquake: joint source inversion of multitype data, and tsunami modelling


An efficient index for the colored, compacted, de Bruijn graph

A space and time-efficient index for the compacted colored de Bruijn graph

Puffaligner: An Efficient and Accurate Aligner Based on the Pufferfish Index

Pan-genome de Bruijn graph using the bidirectional FM-index


ISA Extensions for Finite Field Arithmetic

IACR Transactions on Cryptographic Hardware and Embedded Systems

Fault Attacks on CCA-secure Lattice KEMs

Improved Plantard Arithmetic for Lattice-based Cryptography

High-order Table-based Conversion Algorithms and Masking Lattice-based Encryption

Formally verifying Kyber

Revisiting Keccak and Dilithium Implementations on ARMv7-M


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

Logical Neural Networks

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


Accurate Neural Network Potential on PyTorch

Extending the Applicability of the ANI Deep Learning Molecular Potential to Sulfur and Halogens

Journal of chemical theory and computation

TorchANI: A Free and Open Source PyTorch Based Deep Learning Implementation of the ANI Neural Network Potentials

Journal of chemical information and modeling

The ANI-1ccx and ANI-1x Data Sets, Coupled-Cluster and Density Functional Theory Properties for Molecules

Choosing the right molecular machine learning potential

Towards chemical accuracy for alchemical free energy calculations with hybrid physics-based machine learning / molecular mechanics potentials

Differentiable sampling of molecular geometries with uncertainty-based adversarial attacks

MLatom 2: An Integrative Platform for Atomistic Machine Learning


Summarize, Analyze and Visualize MAF files from TCGA or in-house studies.

Maftools: Efficient analysis, visualization and summarization of MAF files from large-scale cohort based cancer studies

Comprehensive mutational analysis of primary and relapse acute promyelocytic leukemia

Long Non-Coding RNA Profile Study Identifies an Immune-Related lncRNA Prognostic Signature for Kidney Renal Clear Cell Carcinoma

A comprehensive genomic meta-analysis identifies confirmatory role of OBSCN gene in breast tumorigenesis

Correlations Between Tumor Mutation Burden and Immunocyte Infiltration and Their Prognostic Value in Colon Cancer

Validating a targeted next-generation sequencing assay and profiling somatic variants in Chinese non-small cell lung cancer patients

Collision of germline POLE and PMS2 variants in a young patient treated with immune checkpoint inhibitors

Somatic Mutational Profile of High-Grade Serous Ovarian Carcinoma and Triple-Negative Breast Carcinoma in Young and Elderly Patients: Similarities and Divergences

Mutant p53 gains oncogenic functions through a chromosomal instability-induced cytosolic DNA response

Pan-cancer analysis of chromothripsis-related gene expression patterns indicates an association with tumor immune and therapeutic agent responses


Danfeng Hong, Zhu Han, Jing Yao, Lianru Gao, Bing Zhang, Antonio Plaza, Jocelyn Chanussot. Spectralformer: Rethinking hyperspectral image classification with transformers, IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2021

SpectralFormer: Rethinking Hyperspectral Image Classification with Transformers

Meta-Transformer: A Unified Framework for Multimodal Learning


CVPR 2019

Hierarchical Cross-Modal Talking Face Generation With Dynamic Pixel-Wise Loss

Neural Voice Puppetry: Audio-driven Facial Reenactment

Stochastic Talking Face Generation Using Latent Distribution Matching


BLLIP reranking parser (also known as Charniak-Johnson parser, Charniak parser, Brown reranking parser) See http://pypi.python.org/pypi/bllipparser/ for Python module.

Towards String-to-Tree Neural Machine Translation

Towards Topic-to-Question Generation

International Conference on Computational Logic

RIGA at SemEval-2016 Task 8: Impact of Smatch Extensions and Character-Level Neural Translation on AMR Parsing Accuracy

Chemical-induced disease relation extraction with various linguistic features

Database : the journal of biological databases and curation

Event Extraction as Dependency Parsing for BioNLP 2011

Meeting of the Association for Computational Linguistics

Multi-Predicate Semantic Role Labeling

Empirical Methods in Natural Language Processing

Augmenting Abstract Meaning Representation for Human-Robot Dialogue

Proceedings of the First International Workshop on Designing Meaning Representations

Self-Training for Parsing Learner Text

Challenges to Open-Domain Constituency Parsing

Findings of the Association for Computational Linguistics: ACL 2022


UFold: fast and accurate RNA secondary structure prediction with deep learning

Deep learning models for RNA secondary structure prediction (probably) do not generalize across families

Recent trends in RNA informatics: a review of machine learning and deep learning for RNA secondary structure prediction and RNA drug discovery

Deep Learning in RNA Structure Studies


KG-BERT: BERT for Knowledge Graph Completion

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

On the Role of Conceptualization in Commonsense Knowledge Graph Construction

Commonsense Knowledge Salience Evaluation with a Benchmark Dataset in E-commerce

Multi-Task Learning and Improved TextRank for Knowledge Graph Completion

Commonsense Knowledge Mining from Term Definitions


LaneNet implementation in PyTorch

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

Towards End-to-End Lane Detection: an Instance Segmentation Approach

LaneNet: Real-Time Lane Detection Networks for Autonomous Driving


BWK awk modified for biological data

Altered intestinal microbiota–host mitochondria crosstalk in new onset Crohn’s disease

Oxford Nanopore R10.4 long-read sequencing enables the generation of near-finished bacterial genomes from pure cultures and metagenomes without short-read or reference polishing

mlplasmids: a user-friendly tool to predict plasmid- and chromosome-derived sequences for single species

Highly contiguous assemblies of 101 drosophilid genomes

Ancestral Absence of Electron Transport Chains in Patescibacteria and DPANN

Germline inherited small RNAs facilitate the clearance of untranslated maternal mRNAs in C. elegans embryos

Demography and Natural Selection Have Shaped Genetic Variation in the Widely Distributed Conifer Norway Spruce (Picea abies)

Northern Spotted Owl (Strix occidentalis caurina) Genome: Divergence with the Barred Owl (Strix varia) and Characterization of Light-Associated Genes

Complete mitochondrial genome sequences of the northern spotted owl (Strix occidentalis caurina) and the barred owl (Strix varia; Aves: Strigiformes: Strigidae) confirm the presence of a duplicated control region

Accumulation of defense systems in phage resistant strains ofPseudomonas aeruginosa


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

Autonomous Drone Racing: A Survey

Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs


Lightning-UQ-Box: Uncertainty Quantification for Neural Networks with PyTorch and Lightning

Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Deep Kernel Learning

A Simple Baseline for Bayesian Uncertainty in Deep Learning

Conformalized Quantile Regression

Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness

Decomposition of Uncertainty in Bayesian Deep Learning for Efficient and Risk-sensitive Learning

Uncertainty Sets for Image Classifiers using Conformal Prediction

On Feature Collapse and Deep Kernel Learning for Single Forward Pass Uncertainty

Masksembles for Uncertainty Estimation

CARD: Classification and Regression Diffusion Models


Reinforcement Learning Agents in Javascript (Dynamic Programming, Temporal Difference, Deep Q-Learning, Stochastic/Deterministic Policy Gradients)

Mice identify subgoal locations through an action-driven mapping process

Context-Aware Composition of Agent Policies by Markov Decision Process Entity Embeddings and Agent Ensembles


Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Chronos: Learning the Language of Time Series

ProbTS: A Unified Toolkit to Probe Deep Time-series Forecasting

ROSE: Register Assisted General Time Series Forecasting with Decomposed Frequency Learning


SEER, reimplemented in python

pyseer: a comprehensive tool for microbial pangenome-wide association studies

Improved Prediction of Bacterial Genotype-Phenotype Associations Using Interpretable Pangenome-Spanning Regressions

Pangenomics in Microbial and Crop Research: Progress, Applications, and Perspectives


nGraph-HE: Deep learning with Homomorphic Encryption (HE) through Intel nGraph

Homomorphic Encryption for Machine Learning in Medicine and Bioinformatics

CaPC Learning: Confidential and Private Collaborative Learning

Is Homomorphic Encryption-Based Deep Learning Secure Enough?


Calculate distances between phylogenetic trees in R

The landscape of regulatory genes in brain-wide neuronal phenotypes of a vertebrate brain

Single-cell methylation sequencing data reveal succinct metastatic migration histories and tumor progression models

Complete plastid genome of Iris orchioides and comparative analysis with 19 Iris plastomes


A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.

Domain Generalization: A Survey

Domain Generalization with MixStyle

Domain Adaptive Ensemble Learning

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society

Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation

Style Normalization and Restitution for Domain Generalization and Adaptation

MixStyle Neural Networks for Domain Generalization and Adaptation

Semi-Supervised Domain Generalization with Stochastic StyleMatch

Dynamic Instance Domain Adaptation

Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation

Robust Target Training for Multi-Source Domain Adaptation


Canonical Correlation Analysis Zoo: A collection of Regularized, Deep Learning based, Kernel, and Probabilistic methods in a scikit-learn style framework

Deep Generalized Canonical Correlation Analysis

An iterative penalized least squares approach to sparse canonical correlation analysis

Deep Tensor CCA for Multi-view Learning

Tensor Canonical Correlation Analysis for Multi-view Dimension Reduction

Learning Representations without Compositional Assumptions


Comparative performance of the BGI and Illumina sequencing technology for single-cell RNA-sequencing

Preprocessing choices affect RNA velocity results for droplet scRNA-seq data

An NKX2-1/ERK/WNT feedback loop modulates gastric identity and response to targeted therapy in lung adenocarcinoma

Analysis of cell-associated DENV RNA by oligo(dT) primed 5’ capture scRNAseq

Single-cell transcriptome sequencing allows genetic separation, characterization and identification of individuals in multi-person biological mixtures

Evaluation of genetic demultiplexing of single-cell sequencing data from model species

Bulk and single‐cell alternative splicing analyses reveal roles of TRA2B in myogenic differentiation


OpenL3: Open-source deep audio and image embeddings

Full-band General Audio Synthesis with Score-based Diffusion

Towards cross-modal pre-training and learning tempo-spatial characteristics for audio recognition with convolutional and recurrent neural networks

EURASIP Journal on Audio, Speech, and Music Processing

Cross-Modal Music-Video Recommendation: A Study of Design Choices

Deep Acoustic Embeddings for Identifying Parkinsonian Speech

International Journal of Advanced Computer Science and Applications

Exploring modality-agnostic representations for music classification

Audio Embeddings as Teachers for Music Classification


Collection of audio-focused loss functions in PyTorch

PriorGrad: Improving Conditional Denoising Diffusion Models with Data-Dependent Adaptive Prior

BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis

Tunet: A Block-Online Bandwidth Extension Model Based On Transformers And Self-Supervised Pretraining

A review of differentiable digital signal processing for music and speech synthesis

BigVSAN: Enhancing GAN-based Neural Vocoders with Slicing Adversarial Network

WeSep: A Scalable and Flexible Toolkit Towards Generalizable Target Speaker Extraction


CIDO: Coronavirus Infectious Disease Ontology

COVID-19 Coronavirus Vaccine Design Using Reverse Vaccinology and Machine Learning

CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis

Ontological and Bioinformatic Analysis of Anti-Coronavirus Drugs and Their Implication for Drug Repurposing against COVID-19

A community effort for COVID-19 Ontology Harmonization.

Ontology-based systematic classification and analysis of coronaviruses, hosts, and host-coronavirus interactions towards deep understanding of COVID-19

Visual comprehension and orientation into the COVID-19 CIDO ontology

COVID-19 recommender system based on an annotated multilingual corpus

Coordinating virus research: The Virus Infectious Disease Ontology

Public engagement with COVID-19 preprints: Bridging the gap between scientists and society

A survey of epidemic management data models


This repository is no longer maintained.

End-to-end Audio-visual Speech Recognition with Conformers

What makes a popular academic AI repository?

Zenodo (CERN European Organization for Nuclear Research)

Automatic Analysis of Available Source Code of Top Artificial Intelligence Conference Papers

International journal of software engineering and knowledge engineering

An Explorative Study of GitHub Repositories of AI Papers


Knowledge Independent Network Construction

Addressing noise in co-expression network construction

Identification of condition-specific biomarker systems in uterine cancer


A modern Python utility library for climate data collection and management


Automated, hardware-independent Hand-Eye Calibration

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

Camera-to-Robot Pose Estimation from a Single Image

Act3D: 3D Feature Field Transformers for Multi-Task Robotic Manipulation

A Universal Semantic-Geometric Representation for Robotic Manipulation

Generative Image as Action Models


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

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

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

Zooming Into Video Conferencing Privacy

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

Deep Insights of Deepfake Technology : A Review

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

Improving the Modality Representation with multi-view Contrastive Learning for Multimodal Sentiment Analysis

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

A Systematic Review of Facial Expression Detection Methods

State of the Art of Quality Assessment of Facial Images


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


Open-Sora: Democratizing Efficient Video Production for All

AnimateLCM: Computation-Efficient Personalized Style Video Generation without Personalized Video Data

OpenVid-1M: A Large-Scale High-Quality Dataset for Text-to-video
  Generation

T2V-Turbo: Breaking the Quality Bottleneck of Video Consistency Model with Mixed Reward Feedback

T2V-CompBench: A Comprehensive Benchmark for Compositional Text-to-video
  Generation

Evaluation of Text-to-Video Generation Models: A Dynamics Perspective

VidGen-1M: A Large-Scale Dataset for Text-to-video Generation

VideoPhy: Evaluating Physical Commonsense for Video Generation

ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers
  for Image and Video Generation

GenAI Arena: An Open Evaluation Platform for Generative Models

VEnhancer: Generative Space-Time Enhancement for Video Generation


UCLID5: formal modeling, verification, and synthesis of computational systems

Verification of Quantitative Hyperproperties Using Trace Enumeration Relations

UCLID5: Multi-Modal Formal Modeling, Verification, and Synthesis

A Methodology for Developing a Verifiable Aircraft Engine Controller from Formal Requirements

Synthesis in Uclid5


Tensorflow's Fairness Evaluation and Visualization Toolkit

Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence

Characterizing Intersectional Group Fairness with Worst-Case Comparisons

Reconfiguring Diversity and Inclusion for AI Ethics

Beyond Accuracy: A Critical Review of Fairness in Machine Learning for Mobile and Wearable Computing

The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis

Guidelines for Integrating Value Sensitive Design in Responsible AI Toolkits

A Method for Generating Dynamic Responsible AI Guidelines for Collaborative Action


Nikto web server scanner

PentestGPT: An LLM-empowered Automatic Penetration Testing Tool

Open Source Solutions for Vulnerability Assessment: A Comparative Analysis


Platform to experiment with the AI Software Engineer. Terminal based. NOTE: Very different from https://gptengineer.app

The Rise and Potential of Large Language Model Based Agents: A Survey

ChatDev: Communicative Agents for Software Development

AgentTuning: Enabling Generalized Agent Abilities for LLMs

Personal LLM Agents: Insights and Survey about the Capability, Efficiency and Security

MetaAgents: Simulating Interactions of Human Behaviors for LLM-based Task-oriented Coordination via Collaborative Generative Agents

Foundational Challenges in Assuring Alignment and Safety of Large
  Language Models

LLM-Grounder: Open-Vocabulary 3D Visual Grounding with Large Language Model as an Agent

Identifying the Risks of LM Agents with an LM-Emulated Sandbox

Exploring Large Language Model based Intelligent Agents: Definitions, Methods, and Prospects

Experiential Co-Learning of Software-Developing Agents


Compressed Video Action Recognition

Compressed Video Action Recognition

Faster and Accurate Compressed Video Action Recognition Straight from the Frequency Domain

SIBGRAPI Conference on Graphics, Patterns and Images

Deep Learning Towards Edge Computing: Neural Networks Straight from Compressed Data.


Google Play Unofficial Python API - This project was a PoC and is not maintained anymore. Please feel free to fork it and improve it in any way.

MaMaDroid: Detecting Android Malware by Building Markov Chains of Behavioral Models (Extended Version)

DaDiDroid: An Obfuscation Resilient Tool for Detecting Android Malware via Weighted Directed Call Graph Modelling

Call Graph and Model Checking for Fine-Grained Android Malicious Behaviour Detection

A First Look at Ad Blocking Apps on Google Play


Neural Adaptive Video Streaming with Pensieve (SIGCOMM '17)

Tiyuntsong: A Self-Play Reinforcement Learning Approach for ABR Video Streaming

Cross-Layer Effects on Training Neural Algorithms for Video Streaming

PROCEEDINGS OF THE 28TH ACM WORKSHOP ON NETWORK AND OPERATING SYSTEMS SUPPORT FOR DIGITAL AUDIO AND VIDEO (NOSSDAV'18)

Deep Reinforcement Learning for Resource Constrained Multiclass Scheduling in Wireless Networks

Automatic Curriculum Generation for Learning Adaptation in Networking

Deep Reinforcement Learning For Wireless Scheduling with Multiclass Services

Karma: Adaptive Video Streaming via Causal Sequence Modeling

Adaptive Bitrate Video Streaming for Wireless nodes: A Survey


VideoLLaMA 2: Advancing Spatial-Temporal Modeling and Audio Understanding in Video-LLMs

Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding


A high-throughput and memory-efficient inference and serving engine for LLMs

Efficient Memory Management for Large Language Model Serving with PagedAttention

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

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Large Language Models: A Survey

SqueezeLLM: Dense-and-Sparse Quantization

Splitwise: Efficient generative LLM inference using phase splitting

Towards Efficient Generative Large Language Model Serving: A Survey from Algorithms to Systems

Learning From Mistakes Makes LLM Better Reasoner

SARATHI: Efficient LLM Inference by Piggybacking Decodes with Chunked Prefills

Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve


TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

Random Search and Reproducibility for Neural Architecture Search

NAS evaluation is frustratingly hard

MONAS: Multi-Objective Neural Architecture Search using Reinforcement Learning

TextNAS: A Neural Architecture Search Space tailored for Text Representation

BNAS: Efficient Neural Architecture Search Using Broad Scalable Architecture

IEEE transactions on neural networks and learning systems

Towards Oracle Knowledge Distillation with Neural Architecture Search

A Study of the Learning Progress in Neural Architecture Search Techniques

Long-term Reproducibility for Neural Architecture Search


Real-World Masked Face Dataset，口罩人脸数据集

Masked Face Recognition Dataset and Application

MaskedFace-Net – A dataset of correctly/incorrectly masked face images in the context of COVID-19

COVID-19 Control by Computer Vision Approaches: A Survey

IEEE access : practical innovations, open solutions

Computer Vision For COVID-19 Control: A Survey

Landmark Guidance Independent Spatio-channel Attention and Complementary Context Information based Facial Expression Recognition

Transfer learning for mobile real-time face mask detection and localization

Journal of the American Medical Informatics Association : JAMIA

Masked Face Recognition Datasets and Validation

International Conference on Computer Vision

Facial Recognition Technology in 2021: Masks, Bias, and the Future of Healthcare

A Deep Learning-based Approach for Real-time Facemask Detection

Deepfakes, Phrenology, Surveillance, and More! A Taxonomy of AI Privacy Risks


source code for EVM

A draft genome, resequencing, and metabolomes reveal the genetic background and molecular basis of the nutritional and medicinal properties of loquat (Eriobotrya japonica (Thunb.) Lindl)

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

The Plant journal : for cell and molecular biology

Subgenome dominance shapes novel gene evolution in the decaploid pitcher plantNepenthes gracilis

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

How genomic insights into the evolutionary history of clouded leopards inform their conservation

A draft genome at chromosome level and metabolomes of leave, root and flowers provide insights into the molecular basis of medicinal ingredients of loquat (Eriobotrya japonica (Thunb.) Lindl)

Chromosome-level Genome Assembly and Sex-specific Differential Transcriptome of the White-backed Planthopper, Sogatella furcifera


Create cisTarget databases

A reference single-cell regulomic and transcriptomic map of cynomolgus monkeys

scPlant: A versatile framework for single-cell transcriptomic data analysis in plants

Single-cell transcriptome analysis dissects lncRNA-associated gene networks in Arabidopsis

Single nuclei RNA-seq reveals a medium spiny neuron glutamate excitotoxicity signature prior to the onset of neuronal death in an ovine Huntington’s disease model


Advanced implementation of LOAM

Loam_livox: A fast, robust, high-precision LiDAR odometry and mapping package for LiDARs of small FoV

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

International Conference on Robotics and Automation

MULLS: Versatile LiDAR SLAM via Multi-metric Linear Least Square

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

Robust Odometry and Mapping for Multi-LiDAR Systems With Online Extrinsic Calibration

VIRAL-Fusion: A Visual-Inertial-Ranging-Lidar Sensor Fusion Approach

StickyPillars: Robust and Efficient Feature Matching on Point Clouds using Graph Neural Networks

ViViD++ : Vision for Visibility Dataset

Present and Future of SLAM in Extreme Underground Environments

BoW3D: Bag of Words for Real-Time Loop Closing in 3D LiDAR SLAM