K means algorithm on the unit sphere

Dark Energy Survey Year 1 results: weak lensing mass calibration of redMaPPer galaxy clusters

Monthly Notices of the Royal Astronomical Society

Weak-lensing mass calibration of redMaPPer galaxy clusters in Dark Energy Survey Science Verification data

Dark Energy Survey year 1 results: Galaxy-galaxy lensing

Density split statistics: Cosmological constraints from counts and lensing in cells in DES Y1 and SDSS data

Dark Energy Survey Year 3 results: redshift calibration of the weak lensing source galaxies

Weak lensing by galaxy troughs in DES Science Verification data

Dark Energy Survey Year 1 results: curved-sky weak lensing mass map

Dark Energy Survey Year 1 Results: Detection of Intracluster Light at Redshift ∼ 0.25

The ellipticity of galaxy cluster haloes from satellite galaxies and weak lensing

Constraints on the redshift evolution of astrophysical feedback with Sunyaev-Zel'dovich effect cross-correlations


The Cannon 2: Compressed sensing edition

Isochrone ages for ∼3 million stars with the second Gaia data release

CHEMICAL TAGGING CAN WORK: IDENTIFICATION OF STELLAR PHASE-SPACE STRUCTURES PURELY BY CHEMICAL-ABUNDANCE SIMILARITY

Spectroscopy of the Young Stellar Association Price-Whelan 1: Origin in the Magellanic Leading Arm and Constraints on the Milky Way Hot Halo

Combined APOGEE-GALAH stellar catalogues using the Cannon

Kinetic Tomography. II. A Second Method for Mapping the Velocity Field of the Milky Way Interstellar Medium and a Comparison with Spiral Structure Models


Elastic Network Contact Model (coarse-grained Normal Mode Analysis software)

Dynamic Asymmetry Exposes 2019-nCoV Prefusion Spike

The journal of physical chemistry letters

Mild Phenotype of Wolfram Syndrome Associated With a Common Pathogenic Variant Is Predicted by a Structural Model of Wolframin

Computational normal mode analysis accurately replicates the activity and specificity profiles of CRISPR-Cas9 and high-fidelity variants

Computational and structural biotechnology journal

The Elastic Network Contact Model applied to RNA: enhanced accuracy for conformational space prediction


Gromov-Wasserstein Learning for Graph Matching and Node Embedding

GOT: An Optimal Transport framework for Graph comparison

Unsupervised Manifold Alignment with Joint Multidimensional Scaling


A framework for inference and testing of software behaviour.

DeepSynth: Automata Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning

Learning Concise Models from Long Execution Traces

DeepSynth: Program Synthesis for Automatic Task Segmentation in Deep Reinforcement Learning

PRINS: scalable model inference for component-based system logs

FlexFringe: Modeling Software Behavior by Learning Probabilistic Automata

Interactive semi-automated specification mining for debugging: An experience report

An Empirical Study on Practicality of Specification Mining Algorithms on a Real-world Application


Code for pmVAE model, seen in ICML CompBio '21

Application of Deep Learning on Single-cell RNA Sequencing Data Analysis: A Review

基因组蛋白质组与生物信息学报

Learning interpretable latent autoencoder representations with annotations of feature sets

pmVAE: Learning Interpretable Single-Cell Representations with Pathway Modules


:package: :game_die: R/txshift: Efficient Estimation of the Causal Effects of Stochastic Interventions, with Corrections for Outcome-Dependent Sampling

Causal mediation analysis for stochastic interventions

Journal of the Royal Statistical Society Series B: Statistical Methodology

hal9001: Scalable highly adaptive lasso regression in R

Efficient nonparametric inference on the effects of stochastic interventions under two‐phase sampling, with applications to vaccine efficacy trials

txshift: Efficient estimation of the causal effects of stochastic interventions in R


DPLL(T)-based Verification tool for DNNs

The Fourth International Verification of Neural Networks Competition (VNN-COMP 2023): Summary and Results

Harnessing Neuron Stability to Improve DNN Verification

A DPLL(T) Framework for Verifying Deep Neural Networks


Benchmark for Temporal Fact Validation

Belittling the Source: Trustworthiness Indicators to Obfuscate Fake News on the Web

Knowledge Graph Validation

Towards Knowledge Graphs Validation through Weighted Knowledge Sources

Benchmarking Knowledge Graphs on the Web


Archived - please see updated sccmec tool at link below

Staphylococcus aureus viewed from the perspective of 40,000+ genomes

Genome Evolution of Invasive Methicillin-Resistant Staphylococcus aureus in the Americas

Accessory Genome Dynamics of Local and Global Staphylococcus pseudintermedius Populations


Force Fields

Combining Simulations and Solution Experiments as a Paradigm for RNA Force Field Refinement

Journal of chemical theory and computation

Free Energy Landscape of GAGA and UUCG RNA Tetraloops

Unravelling Mg^2+-RNA binding with atomistic molecular dynamics

Elastic network models for RNA: a comparative assessment with molecular dynamics and SHAPE experiments

RNA folding pathways in stop motion

The mechanism of RNA base fraying: Molecular dynamics simulations analyzed with core-set Markov state models

Conformational Ensembles of Non-Coding Elements in the SARS-CoV-2 Genome from Molecular Dynamics Simulations

Conformational Ensemble of RNA Oligonucleotides from Reweighted Molecular Simulations


Diffusers-Interpret ♀: Model explainability for  Diffusers. Get explanations for your generated images.


This repository contains the VLEngagement dataset and the helper functions/ tools required to work with the dataset.

Predicting Engagement in Video Lectures

Towards an Integrative Educational Recommender for Lifelong Learners

VLEngagement: A Dataset of Scientific Video Lectures for Evaluating Population-based Engagement


Computational methods for 16S metabarcoding studies using Nanopore sequencing data

De novo clustering of long reads by gene from transcriptomics data

CARNAC-LR: De novo Clustering of Gene Expressed Variants in Transcriptomic Long Reads Data Sets

Research in Computational Molecular Biology


A fast python-based RM synthesis and RM CLEAN application and library

Faraday tomography of the local interstellar medium with LOFAR: Galactic foregrounds towards IC 342

Magnetism Science with the Square Kilometre Array

New constraints on the magnetization of the cosmic web using LOFAR Faraday rotation observations

The intergalactic magnetic field probed by a giant radio galaxy

Dissecting nonthermal emission in the complex multiple-merger galaxy cluster Abell 2744: Radio and X-ray analysis

Particle re-acceleration and Faraday-complex structures in the RXC J1314.4-2515 galaxy cluster

Monthly notices of the Royal Astronomical Society

MeerKAT view of the diffuse radio sources in Abell 3667 and their interactions with the thermal plasma

Polarized point sources in the LOFAR Two-meter Sky Survey: A preliminary catalog

Diffuse polarized emission in the LOFAR Two-meter Sky Survey

The LOFAR view of intergalactic magnetic fields with giant radio galaxies


An R package for non-targeted LC-MS metabolomics

Guidelines and considerations for the use of system suitability and quality control samples in mass spectrometry assays applied in untargeted clinical metabolomic studies

Metabolomics : Official journal of the Metabolomic Society

Random forest-based imputation outperforms other methods for imputing LC-MS metabolomics data: a comparative study

Characterising and correcting batch variation in an automated direct infusion mass spectrometry (DIMS) metabolomics workflow

“Notame”: Workflow for Non-Targeted LC–MS Metabolic Profiling


Deep Learning Face Attributes in the Wild

VGGFace2: A dataset for recognising faces across pose and age

Racial Faces in the Wild: Reducing Racial Bias by Information Maximization Adaptation Network

Rethinking Bias Mitigation: Fairer Architectures Make for Fairer Face Recognition


FERRE matches physical models to measurements

Sloan Digital Sky Survey IV: Mapping the Milky Way, Nearby Galaxies, and the Distant Universe

The 16th Data Release of the Sloan Digital Sky Surveys: First Release from the APOGEE-2 Southern Survey and Full Release of eBOSS Spectra

The Astrophysical Journal Supplement Series

APOGEE Data and Spectral Analysis from SDSS Data Release 16: Seven Years of Observations Including First Results from APOGEE-South

APOGEE Data Releases 13 and 14: Data and Analysis

APOGEE Data Releases 13 and 14: Stellar Parameter and Abundance Comparisons with Independent Analyses

The chemical characterization of halo substructure in the Milky Way based on APOGEE

Elevated r-process enrichment in Gaia Sausage and Sequoia

The Pristine survey VI. The first three years of medium-resolution follow-up spectroscopy of Pristine EMP star candidates

A collection of model stellar spectra for spectral types B to early-M

Metallicity and α-Element Abundance Gradients along the Sagittarius Stream as Seen by APOGEE


2b-RAD: a simple and flexible method for genome-wide genotyping

Serial sequencing of isolength RAD tags for cost-efficient genome-wide profiling of genetic and epigenetic variations

Species-resolved sequencing of low-biomass or degraded microbiomes using 2bRAD-M

Species-Resolved Metagenomics of Kindergarten Microbiomes Reveal Microbial Admixture Within Sites and Potential Microbial Hazards

Characterization and Preliminary Application of a Novel Lytic Vibrio parahaemolyticus Bacteriophage vB_VpaP_SJSY21

International journal of molecular sciences

Metagenomic Characterization and Comparative Analysis of Removable Denture-Wearing and Non-Denture-Wearing Individuals in Healthy and Diseased Periodontal Conditions


Package to compute Mauve, a similarity score between neural text and human text. Install with `pip install mauve-text`.

MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers

RankGen: Improving Text Generation with Large Ranking Models

Latent Diffusion for Language Generation

Differentially Private Language Models for Secure Data Sharing

MAUVE Scores for Generative Models: Theory and Practice

Privacy-Preserving Domain Adaptation of Semantic Parsers

Privacy-Preserving Instructions for Aligning Large Language Models


The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Quantifying Memorization Across Neural Language Models

Deduplicating Training Data Mitigates Privacy Risks in Language Models

Knowledge Unlearning for Mitigating Privacy Risks in Language Models

Does BERT Pretrained on Clinical Notes Reveal Sensitive Data?

Privacy Issues in Large Language Models: A Survey

Pandora's White-Box: Increased Training Data Leakage in Open LLMs

Selective Forgetting: Advancing Machine Unlearning Techniques and
  Evaluation in Language Models

Digital Forgetting in Large Language Models: A Survey of Unlearning
  Methods


Diurnal Physical Activity Patterns across Ages in a Large UK Based Cohort: The UK Biobank Study

Quantifying the Varying Predictive Value of Physical Activity Measures Obtained from Wearable Accelerometers on All-Cause Mortality over Short to Medium Time Horizons in NHANES 2003–2006

Fast Generalized Functional Principal Components Analysis

A Comparison of Functional Principal Component Analysis Methods with Accelerometry Applications

Functional Regression with Intensively Measured Longitudinal Outcomes: A New Lens through Data Partitioning


PulsePortraiture (PP): a wideband pulsar timing code written in python.  It uses an extension of Joe Taylor's FFTFIT algorithm (Taylor 1992) to simultaneously measure a phase (TOA) and dispersion measure (DM).  PSRCHIVE, lmfit, and the latest vertsions of numpy and scipy are required.

Refined Mass and Geometric Measurements of the High-mass PSR J0740+6620

A LOFAR census of millisecond pulsars

ELEMENTARY WIDEBAND TIMING OF RADIO PULSARS

The NANOGrav 12.5 yr Data Set: Wideband Timing of 47 Millisecond Pulsars

Frequency-dependent Template Profiles for High-precision Pulsar Timing

Measurements of pulse jitter and single-pulse variability in millisecond pulsars using MeerKAT

Improving timing sensitivity in the microhertz frequency regime: limits from PSR J1713+0747 on gravitational waves produced by supermassive black hole binaries

Timing of PSR J2055+3829, an eclipsing black widow pulsar discovered with the Nançay Radio Telescope

Low-frequency wideband timing of InPTA pulsars observed with the uGMRT

Pulsar Timing Array Experiments


CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks

Revisiting the Evidence for Collapsing Boundaries and Urgency Signals in Perceptual Decision-Making

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

Discriminating evidence accumulation from urgency signals in speeded decision making

ChaRTr: An R toolbox for modeling choices and response times in decision-making tasks


Learning Spatiotemporal Features with 3D Convolutional Networks

Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset

End-to-End Dense Video Captioning with Parallel Decoding

Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding


[NeurIPS 2023] Official code of "One-2-3-45: Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization"

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

GeoDream: Disentangling 2D and Geometric Priors for High-Fidelity and Consistent 3D Generation

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


Graph Attention Networks

Inductive Representation Learning on Large Graphs

DeepWalk: Online Learning of Social Representations

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

LINE: Large-scale Information Network Embedding

Network Embedding as Matrix Factorization: Unifying DeepWalk, LINE, PTE, and node2vec

Spectral Network Embedding: A Fast and Scalable Method via Sparsity


Sorted A-Prolog with Consistency Restoring rules.

Syntactic Conditions for Antichain Property in Consistency Restoring Prolog

onlineSPARC: A Programming Environment for Answer Set Programming

Introducing Computer Science to High School Students Through Logic Programming

A Preliminary Data-driven Analysis of Common Errors Encountered by Novice SPARC Programmers


Public repository for symmetry-adapted Gaussian Process Regression (SA-GPR)

Thermodynamics and dielectric response of BaTiO3 by data-driven modeling

Polarizability models for simulations of finite temperature Raman spectra from machine learning molecular dynamics

Impact of quantum-chemical metrics on the machine learning prediction of electron density

Raman spectra of amino acids and peptides from machine learning
  polarizabilities


Library for computer-assisted proofs in dynamical systems

Rigorous computation of solutions of semi-linear PDEs on unbounded domains via spectral methods

Stationary non-radial localized patterns in the planar Swift-Hohenberg
  PDE: constructive proofs of existence

Constructive proofs for localized radial solutions of semilinear elliptic systems on ℝ^d

Periodic orbits in Hořava–Lifshitz cosmologies


High-fidelity 3D live-cell nanoscopy through data-driven enhanced super-resolution radial fluctuation

eSRRF publication data repository

Zenodo (CERN European Organization for Nuclear Research)


TreeBeST: Tree Building guided by Species Tree (Ensembl Compara modifications)

Ensembl comparative genomics resources

Database : the journal of biological databases and curation

Lipid droplet biology and evolution illuminated by the characterization of a novel perilipin in teleost fish

Genome-Wide Reconstruction of Rediploidization Following Autopolyploidization across One Hundred Million Years of Salmonid Evolution

ncRNA orthologies in the vertebrate lineage

Mpox, Caused by the MPXV of the Clade IIb Lineage, Goes Global

Tropical medicine and infectious disease

Scripting Analyses of Genomes in Ensembl Plants

Animal-SNPAtlas: a comprehensive SNP database for multiple animals

GeneSeqToFamily: the Ensembl Compara GeneTrees pipeline as a Galaxy workflow

Genome-Wide Analysis of the Rice Gibberellin Dioxygenases Family Genes

Long-read genome sequencing provides novel insights into the harmful algal bloom species Prymnesium parvum.


Bilateral Dependency Optimization: Defending Against Model-inversion Attacks

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Label-Only Model Inversion Attacks via Knowledge Transfer

Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks


An open platform for capturing, integrating, storing, and sharing biological knowledge in and across organizations.

Reverse causal reasoning: applying qualitative causal knowledge to the interpretation of high-throughput data

Bioinformatics Mining and Modeling Methods for the Identification of Disease Mechanisms in Neurodegenerative Disorders

Automated detection of discourse segment and experimental types from the text of cancer pathway results sections


Spectral Generation Package

ProSpect: generating spectral energy distributions with complex star formation and metallicity histories

Galaxy And Mass Assembly (GAMA): a forensic SED reconstruction of the cosmic star formation history and metallicity evolution by galaxy type

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

JWST PEARLS. Prime Extragalactic Areas for Reionization and Lensing Science: Project Overview and First Results

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

H I asymmetries in LVHIS, VIVA, and HALOGAS galaxies

GAMA/DEVILS: Constraining the cosmic star-formation history from
  improved measurements of the 0.3-2.2 micron Extragalactic Background Light

Unveiling the atomic hydrogen-halo mass relation via spectral stacking

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

PKS 2250-351: A giant radio galaxy in Abell 3936

Publications of the Astronomical Society of Australia


FAMIE: A Fast Active Learning Framework for Multilingual Information Extraction

Deep Batch Active Learning by Diverse, Uncertain Gradient Lower Bounds

Deep Active Learning for Named Entity Recognition


Image translation by CNNs trained on unpaired data

Overview of image-to-image translation by use of deep neural networks: denoising, super-resolution, modality conversion, and reconstruction in medical imaging

Visual enhancement of Cone-beam CT by use of CycleGAN

Training of deep cross-modality conversion models with a small dataset,
  and their application in megavoltage CT to kilovoltage CT conversion

Improvement in Image Quality of CBCT during Treatment by Cycle Generative Adversarial Network


Several models for POS Tagging

Attention Is All You Need

Recurrent Neural Network Grammars

Bidirectional LSTM-CRF Models for Sequence Tagging

The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation

Empower Sequence Labeling with Task-Aware Neural Language Model


DialoGLUE: A Natural Language Understanding Benchmark for Task-Oriented Dialogue

OPT-IML: Scaling Language Model Instruction Meta Learning through the Lens of Generalization

Example-Driven Intent Prediction with Observers

ConvFiT: Conversational Fine-Tuning of Pretrained Language Models


Suite of tools for processing BRB-seq data

The Hippo pathway controls myofibril assembly and muscle fiber growth by regulating sarcomeric gene expression

Extensive tissue-specific expression variation and novel regulators underlying circadian behavior

Inter-embryo gene expression variability recapitulates the hourglass pattern of evo-devo

Cell-of-Origin Subtyping of Diffuse Large B-Cell Lymphoma by Using a qPCR-based Gene Expression Assay on Formalin-Fixed Paraffin-Embedded Tissues

Commensal Gut Bacteria Buffer the Impact of Host Genetic Variants on Drosophila Developmental Traits under Nutritional Stress

Time- and cost-efficient high-throughput transcriptomics enabled by Bulk RNA Barcoding and sequencing

Differentially Expressed Genes and Signaling Pathways Potentially Involved in Primary Resistance to Chemo-Immunotherapy in Advanced-Stage Gastric Cancer Patients

An hourglass pattern of inter-embryo gene expression variability and of histone regulation in fly embryogenesis

Postnatal expansion of mesenteric lymph node stromal cells towards reticular and CD34+ stromal cell subsets

Logical design of synthetic cis-regulatory DNA for genetic tracing of cell identities and state changes


[NeurIPS DBT 2021] HPO-B

HPO-B: A Large-Scale Reproducible Benchmark for Black-Box HPO based on OpenML

PFNs4BO: In-Context Learning for Bayesian Optimization

Deep Ranking Ensembles for Hyperparameter Optimization

Reinforced In-Context Black-Box Optimization


The SeaFreeze package allows to compute the thermodynamic and elastic properties of water and ice polymorphs (Ih, III, V and VI) in the 0-2300 MPa and 220-500K range.

AQUA: a collection of H2O equations of state for planetary models

Holistic Approach for Studying Planetary Hydrospheres: Gibbs Representation of Ices Thermodynamics, Elasticity, and the Water Phase Diagram to 2,300 MPa

Journal of Geophysical Research: Planets

Thermodynamics of pure liquid water: Sound speed measurements to 700 MPa down to the freezing point, and an equation of state to 2300 MPa from 240 to 500 K

Stability of high-temperature salty ice suggests electrolyte permeability in water-rich exoplanet icy mantles

Liquid Water on Cold Exo-Earths via Basal Melting of Ice Sheets

PlanetProfile: Self‐Consistent Interior Structure Modeling for Ocean Worlds and Rocky Dwarf Planets in Python

Gibbs energy of ices III, V and VI: wholistic thermodynamics and elasticity of the water phase diagram to 2300 MPa


[CVPR 2020] A Large-Scale Dataset for Real-World Face Forgery Detection

DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection

FakeAVCeleb: A Novel Audio-Video Multimodal Deepfake Dataset

Delving into Sequential Patches for Deepfake Detection

DeeperForensics Challenge 2020 on Real-World Face Forgery Detection: Methods and Results

Block shuffling learning for Deepfake Detection

Robust Deepfake On Unrestricted Media: Generation And Detection

DeepFakes Detection: the DeeperForensicsDeeperForensics Dataset and Challenge

Handbook of Digital Face Manipulation and Detection


Multi Task Vision and Language

ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

12-in-1: Multi-Task Vision and Language Representation Learning

Probing Contextual Language Models for Common Ground with Visual Representations

Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection


Regression-based annotation of protein-coding sequences from ribosome profiling data

The translatome of neuronal cell bodies, dendrites, and axons

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

Neuronal activity rapidly reprograms dendritic translation via eIF4G2:uORF binding

Small Open Reading Frame-Encoded Micro-Peptides: An Emerging Protein World

Tracing Translational Footprint by Ribo-Seq: Principle, Workflow, and Applications to Understand the Mechanism of Human Diseases


Code to implement the DunedinPACE scoring algorithm in Illumina 450k or EPIC array data

DunedinPACE, a DNA methylation biomarker of the pace of aging

The role of adolescent lifestyle habits in biological aging: A prospective twin study

Sex differences in epigenetic age in Mediterranean high longevity regions

Metal mixtures and DNA methylation measures of biological aging in American Indian populations

Associations of essential trace elements with epigenetic aging indicators and the potential mediating role of inflammation

Metabolic syndrome and epigenetic aging: a twin study

Exploring the effects of Dasatinib, Quercetin, and Fisetin on DNA methylation clocks: a longitudinal study on senolytic interventions

Associations between epigenetic aging and childhood peer victimization, depression, and suicidal ideation in adolescence and adulthood: A study of two population-based samples

Frontiers in cell and developmental biology

The associations of long-term physical activity in adulthood with later biological ageing and all-cause mortality – a prospective twin study

medRxiv : the preprint server for health sciences

A blood biomarker of accelerated aging in the body associates with worse structural integrity in the brain: replication across three cohorts


Code related to analyzing the Natural Scenes Dataset

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

The transition from vision to language: Distinct patterns of functional connectivity for subregions of the visual word form area

bioRxiv : the preprint server for biology

Dissociable contributions of the medial parietal cortex to recognition memory


TESS TPF plotter with Gaia catalog

Carolina Digital Repository (University of North Carolina at Chapel Hill)

A super-Earth and a sub-Neptune orbiting the bright, quiet M3 dwarf TOI-1266

Planetary system LHS 1140 revisited with ESPRESSO and TESS

The CARMENES search for exoplanets around M dwarfs: Two planets on opposite sides of the radius gap transiting the nearby M dwarf LTT 3780

Precise mass and radius of a transiting super-Earth planet orbiting the M dwarf TOI-1235: a planet in the radius gap?

An ultra-short-period transiting super-Earth orbiting the M3 dwarf TOI-1685

Discovery of a hot, transiting, Earth-sized planet and a second temperate, non-transiting planet around the M4 dwarf GJ 3473 (TOI-488)

TOI-674b: An oasis in the desert of exo-Neptunes transiting a nearby M dwarf

A sub-Neptune and a non-transiting Neptune-mass companion unveiled by ESPRESSO around the bright late-F dwarf HD 5278 (TOI-130)

TOI-269 b: an eccentric sub-Neptune transiting a M2 dwarf revisited with ExTrA


Thorsten-Voice: A free to use, offline working, high quality german TTS voice should be available for every project without any license struggling.

HUI-Audio-Corpus-German: A high quality TTS dataset

ASR in German: A Detailed Error Analysis

Thorsten - Open German Voice (Neutral) Dataset

ASR Bundestag: A Large-Scale political debate dataset in German


Modeling stellar photometry with "brute force" methods

A Large Catalog of Accurate Distances to Local Molecular Clouds: The Gaia DR2 Edition

Constraining the distance to the North Polar Spur with Gaia DR2

Monthly Notices of the Royal Astronomical Society

Wide Twin Binaries are Extremely Eccentric: Evidence of Twin Binary Formation in Circumbinary Disks

Wide binaries from the H3 survey: the thick disc and halo have similar wide binary fractions

Evidence for C and Mg variations in the GD-1 stellar stream

Monthly notices of the Royal Astronomical Society

Dynamical masses across the Hertzsprung-Russell diagram

Evidence for C, O, Al and Mg variations in the GD-1 stellar stream


Tools for Plant Ecophysiology & Modeling


An instruction set simulator based on DBT-RISE implementing the RISC-V ISA

Advanced virtual prototyping for cyber-physical systems using RISC-V: implementation, verification and challenges


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?


Correlation Utilities and Two-point Estimation

The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: exploring the halo occupation distribution model for emission line galaxies

Dark Energy Survey Year-1 results: galaxy mock catalogues for BAO

Dark Energy Survey year 1 results: galaxy sample for BAO measurement

Do model emission line galaxies live in filaments at z similar to 1?

Angular clustering properties of the DESI QSO target selection using DR9 Legacy Imaging Surveys

Dark Energy Survey Year 3 Results: Galaxy Sample for BAO Measurement

Marked correlation functions in perturbation theory

Journal of Cosmology and Astroparticle Physics

Studying large-scale structure probes of modified gravity with COLA

Observing relativistic features in large-scale structure surveys - I. Multipoles of the power spectrum

Non-linear structure formation for dark energy models with a Steep Equation of State


Source code for the paper M. Polese, L. Bonati, S. D'Oro, S. Basagni, T. Melodia, "ColoRAN: Design and Testing of Open RAN Intelligence on Large-scale Experimental Platforms," arXiv 2112.09559 [cs.NI], December 2021.

ColO-RAN: Developing Machine Learning-Based xApps for Open RAN Closed-Loop Control on Programmable Experimental Platforms

OpenRAN Gym: AI/ML Development, Data Collection, and Testing for O-RAN on PAWR Platforms

ns-O-RAN: Simulating O-RAN 5G Systems in ns-3

Intelligent Closed-loop RAN Control with xApps in OpenRAN Gym


Resources for the MRQA 2019 Shared Task

SpanBERT: Improving Pre-training by Representing and Predicting Spans

CTRL: A Conditional Transformer Language Model for Controllable Generation

MRQA 2019 Shared Task: Evaluating Generalization in Reading Comprehension

Look at the First Sentence: Position Bias in Question Answering

Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data

Generalizing Question Answering System with Pre-trained Language Model Fine-tuning

Empirical Methods in Natural Language Processing

Contextualized Representations Using Textual Encyclopedic Knowledge

Dynamic Sampling Strategies for Multi-Task Reading Comprehension

Meeting of the Association for Computational Linguistics

Ensemble Learning-Based Approach for Improving Generalization Capability of Machine Reading Comprehension Systems

Continual Domain Adaptation for Machine Reading Comprehension

International Conference on Information and Knowledge Management


a Python implementation of proper image subtraction (Zackay, Ofek & Gal-Yam 2016, ApJ, 830, 27)

Searches after Gravitational Waves Using ARizona Observatories (SAGUARO): System Overview and First Results from Advanced LIGO/Virgo’s Third Observing Run

Searches after Gravitational Waves Using ARizona Observatories (SAGUARO): Observations and Analysis from Advanced LIGO/Virgo's Third Observing Run

GW190814 follow-up with the optical telescope MeerLICHT

Image Subtraction in Fourier Space

A Systematic Exploration of Kilonova Candidates from Neutron Star Mergers during the Third Gravitational-wave Observing Run


The RNA-binding protein AKAP8 suppresses tumor metastasis by antagonizing EMT-associated alternative splicing

Robust single-cell discovery of RNA targets of RNA binding proteins and ribosomes

Gain-of-function mutation of microRNA-140 in human skeletal dysplasia

A global screening identifies chromatin-enriched RNA-binding proteins and the transcriptional regulatory activity of QKI5 during monocytic differentiation

Discovery and functional interrogation of SARS-CoV-2 protein-RNA interactions

RNA-binding protein MEX3A controls G1/S transition via regulating the RB/E2F pathway in clear cell renal cell carcinoma

A phage nucleus-associated RNA-binding protein is required for jumbo phage infection

clipplotr-a comparative visualization and analysis tool for CLIP data

KHSRP combines transcriptional and posttranscriptional mechanisms to regulate monocytic differentiation

Characterization of an RNA binding protein interactome reveals a context-specific post-transcriptional landscape of MYC-amplified medulloblastoma


[ECCV 2018] Towards Privacy-Preserving Visual Recognition via Adversarial Training: A Pilot Study

Privacy-Preserving Deep Action Recognition: An Adversarial Learning Framework and A New Dataset

SPAct: Self-supervised Privacy Preservation for Action Recognition


GOLEM is a numerical simulator for modelling coupled Thermo-Hydro-Mechanical processes in faulted geothermal reservoirs.

Flexible parallel implicit modelling of coupled Thermal-Hydraulic-Mechanical processes in fractured rocks


A neural network emulator to transform field data

AI-assisted superresolution cosmological simulations – II. Halo substructures, velocities, and higher order statistics

Field Level Neural Network Emulator for Cosmological N-body Simulations

Simple lessons from complex learning: what a neural network model learns about cosmic structure formation

Super-resolving Dark Matter Halos using Generative Deep Learning

Field-level Emulation of Cosmic Structure Formation with Cosmology and Redshift Dependence

Bayesian Inference of Initial Conditions from Non-Linear Cosmic Structures using Field-Level Emulators


Code release for NeuS

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

NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction

Voxurf: Voxel-based Efficient and Accurate Neural Surface Reconstruction

CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation

Reconstructing Objects in-the-wild for Realistic Sensor Simulation

Looking Through the Glass: Neural Surface Reconstruction Against High Specular Reflections

Sparse 3D Reconstruction via Object-Centric Ray Sampling

A theory of volumetric representations for opaque solids


LATTE: Lightcurve Analysis Tool for Transiting Exoplanets

A search for transiting planets around hot subdwarfs

The TESS Triple-9 Catalog II: a new set of 999 uniformly vetted exoplanet candidates


LTR_Finder is an efficient program for finding full-length LTR retrotranspsons in genome sequences.

A mosaic monoploid reference sequence for the highly complex genome of sugarcane

Pangenomic analysis identifies structural variation associated with heat tolerance in pearl millet

Chromosome Level Genome Assembly of Andrographis paniculata

Genome sequencing of Sitopsis species provides insights into their contribution to the B subgenome of bread wheat

Chromosome-Level Genome Assembly of the Blue Mussel Mytilus chilensis Reveals Molecular Signatures Facing the Marine Environment

Comparative and population genomics of buckwheat species reveal key determinants of flavor and fertility

Allele-aware chromosome-level genome assembly of the autohexaploid Diospyros kaki Thunb

Decoupling subgenomes within hybrid lavandin provide new insights into speciation and monoterpenoid diversification of Lavandula


NEural Minimizer for pytOrch

Technical Report: NEMO DNN Quantization for Deployment Model

Self-Supervised Learning of Visual Robot Localization Using LED State Prediction as a Pretext Task

A Deep Learning-Based Face Mask Detector for Autonomous Nano-Drones (Student Abstract)

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


ALpine Parameterized Glacier Model (ALPGM v1.2). Open-source regional glacier evolution model based on deep learning and parametrizations.

A deep learning reconstruction of mass balance series for all glaciers in the French Alps: 1967–2015


Progressively strengthening and tuning MIP solvers for reoptimization

Machine Learning Augmented Branch and Bound for Mixed Integer Linear
  Programming

The MIP Workshop 2023 Computational Competition on reoptimization

An improved column-generation-based matheuristic for learning classification trees


Genome Annotation Without Nightmares

Thermal regime during parental sexual maturation, but not during offspring rearing, modulates DNA methylation in brook charr (Salvelinus fontinalis)

Experimental evolution reveals the synergistic genomic mechanisms of adaptation to ocean warming and acidification in a marine copepod

Chromosome-level assembly reveals a putative Y-autosomal fusion in the sex determination system of the Greenland Halibut (Reinhardtius hippoglossoides)

annotate_my_genomes: an easy-to-use pipeline to improve genome annotation and uncover neglected genes by hybrid RNA sequencing

Epigenetic and genetic differentiation betweenCoregonusspecies pairs


An extension of XGBoost to probabilistic modelling

XGBoostLSS -- An extension of XGBoost to probabilistic forecasting

Distributional Gradient Boosting Machines

Multi-Target XGBoostLSS Regression


FOCUS: Fine-mapping Of CaUsal gene Sets

Transcriptome-wide association studies: a view from Mendelian randomization

Genetic association and causal inference converge on hyperglycaemia as a modifiable factor to improve lung function

Adjusting for genetic confounders in transcriptome-wide association studies improves discovery of risk genes of complex traits

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

Biomarker and genomic analyses reveal molecular signatures of non-cardioembolic ischemic stroke

Expanding causal genes for Parkinson’s disease via multi-omics analysis

Transcriptome wide association studies: general framework and methods

Genome-wide meta-analysis of pneumonia suggests a role for mucin biology and provides novel drug repurposing opportunities

Joint analysis of proteome, transcriptome, and multi-trait analysis to identify novel Parkinson’s disease risk genes

A large-scale transcriptome-wide association study (TWAS) of ten blood cell phenotypes reveals complexities of TWAS fine-mapping


CP-JKU submission to DCASE 20

The Receptive Field as a Regularizer in Deep Convolutional Neural Networks for Acoustic Scene Classification

Receptive Field Regularization Techniques for Audio Classification and Tagging With Deep Convolutional Neural Networks

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

Receptive-field-regularized CNN variants for acoustic scene classification

Low-Complexity Models for Acoustic Scene Classification Based on Receptive Field Regularization and Frequency Damping


A python program to call methylation (m6A in DNA) from nanopore signal data

Recent advances in the detection of base modifications using the Nanopore sequencer

Characterization of the Type I Restriction Modification System Broadly Conserved among Group A Streptococci


A collection of digital forestry tools for Matlab/Octave


The released code of Neurify in NIPS 2018

Formal Security Analysis of Neural Networks using Symbolic Intervals

Efficient Formal Safety Analysis of Neural Networks

A Review of Formal Methods applied to Machine Learning

Debona: Decoupled Boundary Network Analysis for Tighter Bounds and Faster Adversarial Robustness Proofs


Colocalization analysis of genetic association signals

Genome-wide association studies of metabolites in Finnish men identify disease-relevant loci

DNA methylation QTL mapping across diverse human tissues provides molecular links between genetic variation and complex traits

Analyzing and Reconciling Colocalization and Transcriptome-wide Association Studies from the Perspective of Inferential Reproducibility

Transcriptome-wide association study and eQTL colocalization identify potentially causal genes responsible for human bone mineral density GWAS associations

Integrating genetic regulation and single-cell expression with GWAS prioritizes causal genes and cell types for glaucoma

Tissue specificity-aware TWAS (TSA-TWAS) framework identifies novel associations with metabolic, immunologic, and virologic traits in HIV-positive adults

Transcriptome wide association studies: general framework and methods

Transcriptome-wide Association Study and eQTL colocalization identify potentially causal genes responsible for bone mineral density GWAS associations

Transcriptomic risk scores for attention deficit/hyperactivity disorder


Webpage for the DSTC8 - NOESIS II: Predicting Responses

Online Conversation Disentanglement with Pointer Networks

On the Calibration and Uncertainty of Neural Learning to Rank Models for Conversational Search

Conference of the European Chapter of the Association for Computational Linguistics

Rethinking Coherence Modeling: Synthetic vs. Downstream Tasks

Do the Findings of Document and Passage Retrieval Generalize to the Retrieval of Responses for Dialogues?


An open source drift diffusion code based in MATLAB for simulating semiconductor devices with mixed ionic-electronic conducting materials.

Ionic-to-electronic current amplification in hybrid perovskite solar cells: ionically gated transistor-interface circuit model explains hysteresis and impedance of mixed conducting devices

Identifying Dominant Recombination Mechanisms in Perovskite Solar Cells by Measuring the Transient Ideality Factor

Dynamics of Internal Electric Field Screening in Hybrid Perovskite Solar Cells Probed Using Electroabsorption

Ionic Field Screening in MAPbBr3 Crystals Revealed from Remnant Sensitivity in X-ray Detection

Correction to: Driftfusion: an open source code for simulating ordered semiconductor devices with mixed ionic-electronic conducting materials in one dimension

Is it possible for a perovskite p-n homojunction to persist in the presence of mobile ionic charge?


A Python 3 module that provides functions for splitting identifiers found in source code files.

Predicting the objective and priority of issue reports in software repositories

Topic Recommendation for Software Repositories using Multi-label Classification Algorithms

CoCoSum: Contextual Code Summarization with Multi-Relational Graph Neural Network

Revisiting Code Search in a Two-Stage Paradigm

Fonte: Finding Bug Inducing Commits from Failures

Automating Method Naming with Context-Aware Prompt-Tuning

An automated detection of confusing variable pairs with highly similar compound names in Java and Python programs


Software for Quantifying Interspersed Repeat Expression

SQuIRE reveals locus-specific regulation of interspersed repeat expression

A new duck genome reveals conserved and convergently evolved chromosome architectures of birds and mammals

Locus-specific expression analysis of transposable elements


The SDK for Jetpac's iOS Deep Belief image recognition framework

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition

Eye Tracking for Everyone

Deep Representations for Iris, Face, and Fingerprint Spoofing Detection

IEEE Transactions on Information Forensics and Security

RILOD: Near Real-Time Incremental Learning for Object Detection at the Edge

Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices

Efficient Incremental Learning for Mobile Object Detection


Stochastic Time-Inverted Lagrangian Transport model

Strong methane point sources contribute a disproportionate fraction of total emissions across multiple basins in the U.S.


Using optical flow & machine learning to predict PV yield


DETR - Faster RCNN implementation in tensorflow 2

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

Mask R-CNN

Feature Pyramid Networks for Object Detection

End-to-End Object Detection with Transformers

Fast Convergence of DETR with Spatially Modulated Co-Attention


A Syntax-Guided Edit Decoder for Neural Program Repair

A Survey of Learning-based Automated Program Repair

CIRCLE: Continual Repair across Programming Languages

A Survey on Automated Program Repair Techniques


Codes for reproducing the black-box adversarial attacks in “ZOO: Zeroth Order Optimization based Black-box Attacks to Deep Neural Networks without Training Substitute Models,” ACM CCS Workshop on AI-Security, 2017

Proceedings of the 10th ACM Workshop on Artificial Intelligence and Security


scripts and baselines for Spider: Yale complex and cross-domain semantic parsing and text-to-SQL challenge

Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task

SParC: Cross-Domain Semantic Parsing in Context

Editing-Based SQL Query Generation for Cross-Domain Context-Dependent Questions

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

Optimizing Deeper Transformers on Small Datasets

ValueNet: A Natural Language-to-SQL System that Learns from Database Information

An Imitation Game for Learning Semantic Parsers from User Interaction

L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models

ValueNet: A Neural Text-to-SQL Architecture Incorporating Values

Leveraging Adjective-Noun Phrasing Knowledge for Comparison Relation Prediction in Text-to-SQL


Gaussian processes and Bayesian optimization for images and hyperspectral data

Automated and Autonomous Experiments in Electron and Scanning Probe Microscopy.

Bayesian Active Learning for Scanning Probe Microscopy: from Gaussian Processes to Hypothesis Learning

Autonomous Experiments in Scanning Probe Microscopy and Spectroscopy: Choosing Where to Explore Polarization Dynamics in Ferroelectrics

Guided search for desired functional responses via Bayesian optimization of generative model: Hysteresis loop shape engineering in ferroelectrics

Exploration of lattice Hamiltonians for functional and structural discovery via Gaussian process-based exploration–exploitation

Super-resolution and signal separation in contact Kelvin probe force microscopy of electrochemically active ferroelectric materials

Gaussian process analysis of electron energy loss spectroscopy data: multivariate reconstruction and kernel control

Bayesian optimization in continuous spaces via virtual process embeddings

Automated and Autonomous Experiment in Electron and Scanning Probe Microscopy

Gaussian process analysis of Electron Energy Loss Spectroscopy (EELS) data: parallel reconstruction and kernel control.


Julia and C++ implementations of Bayesian Probabilistic Matrix Factorization using Markov Chain Monte Carlo

Container orchestration on HPC systems through Kubernetes

Journal of Cloud Computing Advances Systems and Applications

MPI Collectives for Multi-core Clusters: Optimized Performance of the Hybrid MPI+MPI Parallel Codes

Collectives in hybrid MPI+MPI code: design, practice and performance

Distributed Bayesian matrix factorization with limited communication


L^2UWE: A Framework for the Efficient Enhancement of Low-Light Underwater Images Using Local Contrast and Multi-Scale Fusion (CVPRW 2020)

UID2021: An Underwater Image Dataset for Evaluation of No-Reference Quality Assessment Metrics

Towards More Efficient EfficientDets and Real-Time Marine Debris Detection


Genome-wide contact analysis using sklearn

A supervised learning framework for chromatin loop detection in genome-wide contact maps

Interrogating cell type-specific cooperation of transcriptional regulators in 3D chromatin

Machine and deep learning methods for predicting 3D genome organization.


(CVPR2024)A benchmark for evaluating Multimodal LLMs using multiple-choice questions.

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

SEED-Bench-2: Benchmarking Multimodal Large Language Models

SEED-Bench-2-Plus: Benchmarking Multimodal Large Language Models with Text-Rich Visual Comprehension


Neural CRF Model for Sentence Alignment in Text Simplification

Text Revision by On-the-Fly Representation Optimization

Gauging the Gap Between Human and Machine Text Simplification Through Analytical Evaluation of Simplification Strategies and Errors

Findings of the Association for Computational Linguistics: EACL 2023

Cognitive Simplification Operations Improve Text Simplification


The implementation that infers the temporal latent spaces for a sequence of dynamic graph snapshots

GloDyNE: Global Topology Preserving Dynamic Network Embedding

IEEE Transactions on Knowledge and Data Engineering

DynWalks: Global Topology and Recent Changes Awareness Dynamic Network Embedding

Robust Dynamic Network Embedding via Ensembles


An open-source benchmark for generating design RTL with natural  language

RTLLM: An Open-Source Benchmark for Design RTL Generation with Large Language Model

Towards LLM-Powered Verilog RTL Assistant: Self-Verification and
  Self-Correction

LLMs and the Future of Chip Design: Unveiling Security Risks and Building Trust


MEGAN Community Edition

MEGAN Community Edition - Interactive Exploration and Analysis of Large-Scale Microbiome Sequencing Data

A Metagenomic Approach to Cyanobacterial Genomics

Collapse of the mammoth-steppe in central Yukon as revealed by ancient environmental DNA

MeganServer: facilitating interactive access to metagenomic data on a server

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

Journal of Applied Pharmaceutical Sciences


A toolkit for Vietnamese word segmentation

A hybrid approach to Vietnamese word segmentation

Conference on Research, Innovation and Vision for the Future in Computing & Communication Technologies

A Feature-Rich Vietnamese Named-Entity Recognition Model

Vietnamese Word Segmentation with SVM: Ambiguity Reduction and Suffix Capture


PyBADS: Bayesian Adaptive Direct Search optimization algorithm for model fitting in Python

Practical Bayesian Optimization for Model Fitting with Bayesian Adaptive Direct Search

PyBADS: Fast and robust black-box optimization in Python

Fast post-process Bayesian inference with Sparse Variational Bayesian Monte Carlo


An implementation of the time dependent variational principle for matrix product states

Quantum thermalization dynamics with Matrix-Product States

Tensor Train decomposition on TensorFlow (T3F)

Open source Matrix Product States: Opening ways to simulate entangled many-body quantum systems in one dimension

The tensor network theory library

Journal of Statistical Mechanics: Theory and Experiment

Matrix product states and the non-Abelian rotor model

Quantum phases of a chain of strongly interacting anyons

A Monte Carlo Time-Dependent Variational Principle

Microscopic Models for Fusion Categories

Z(n) clock models and chains of so(n)(2) non-Abelian anyons: symmetries, integrable points and low energy properties

Implementing Entangled States on a Quantum Computer


Code for reproducing the ACL'23 paper: Don't Generate, Discriminate: A Proposal for Grounding Language Models to Real-World Environments

Combining Transfer Learning with In-context Learning using Blackbox LLMs for Zero-shot Knowledge Base Question Answering


Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening

Memory-aware curriculum federated learning for breast cancer classification

Differences between human and machine perception in medical diagnosis

Multi-view Local Co-occurrence and Global Consistency Learning Improve Mammogram Classification Generalisation

Meta-repository of screening mammography classifiers

Leveraging Multi-Task Learning to Cope With Poor and Missing Labels of Mammograms


Code for KDD'20 "An Efficient Neighborhood-based Interaction Model for Recommendation on Heterogeneous Graph"

GraphHINGE: Learning Interaction Models of Structured Neighborhood on Heterogeneous Information Network


Learning to Adapt Structured Output Space for Semantic Segmentation

FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation

No More Discrimination: Cross City Adaptation of Road Scene Segmenters


Qoala-T is a supervised-learning tool for quality control of FreeSurfer segmented MRI data

The autism brain imaging data exchange: towards a large-scale evaluation of the intrinsic brain architecture in autism

Qoala-T: A supervised-learning tool for quality control of FreeSurfer segmented MRI data

Disorganized Amygdala Networks in Conduct-Disordered Juvenile Offenders With Callous-Unemotional Traits

Journal of Child Psychology and Psychiatry - Different brain responses during empathy in autism spectrum disorders versus conduct disorder and callous-unemotional traits

Journal of child psychology and psychiatry, and allied disciplines

Brain structure is linked to the association between family environment and behavioral problems in children in the ABCD study

Linked patterns of biological and environmental covariation with brain structure in adolescence: a population-based longitudinal study

Identification of Two Distinct Working Memory-Related Brain Networks in Healthy Young Adults

Management and Quality Control of Large Neuroimaging Datasets: Developments From the Barcelonaβeta Brain Research Center


PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

Glow: Generative Flow with Invertible 1x1 Convolutions

Glow-TTS: A Generative Flow for Text-to-Speech via Monotonic Alignment Search

FlowSeq: Non-Autoregressive Conditional Sequence Generation with Generative Flow


On the limits of fitting complex models of population history to f-statistics

Inferring Population Histories for Ancient Genomes Using Genome-Wide Genealogies

A geometric relationship of F2, F3 and F4-statistics with principal component analysis.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences

Genetic admixture and language shift in the medieval Volga-Oka interfluve

Modelling complex population structure using F-statistics and Principal Component Analysis

Reconstructing the genetic relationship between ancient and present-day Siberian populations

Imputed genomes and haplotype-based analyses of the Picts of early medieval Scotland reveal fine-scale relatedness between Iron Age, early medieval and the modern people of the UK


Collection of Wongnai's datasets

WangchanBERTa: Pretraining transformer-based Thai Language Models

Survey on Thai NLP Language Resources and Tools

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Thai Nested Named Entity Recognition Corpus

Findings of the Association for Computational Linguistics: ACL 2022

PhayaThaiBERT: Enhancing a Pretrained Thai Language Model with Unassimilated Loanwords

Massively Multilingual Corpus of Sentiment Datasets and Multi-faceted Sentiment Classification Benchmark

Assessment of Massively Multilingual Sentiment Classifiers


Graph Pattern Matching in GQL and SQL/PGQ

A Unifying Perspective on Succinct Data Representations

Work-Efficient Query Evaluation with PRAMs

Expected Shapley-Like Scores of Boolean Functions: Complexity and Applications to Probabilistic Databases

On The Reasonable Effectiveness of Relational Diagrams: Explaining Relational Query Patterns and the Pattern Expressiveness of Relational Languages

Proceedings of the ACM on Management of Data

Conjunctive Queries for Logic-Based Information Extraction


The official codes for "PMC-LLaMA: Towards Building Open-source Language Models for Medicine"

LLaMA: Open and Efficient Foundation Language Models

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

Large Language Models for Medicine: A Survey

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

RaTEScore: A Metric for Radiology Report Generation


A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework

International Conference on Computer Vision

Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks

IEEE transactions on pattern analysis and machine intelligence

Convolutional Transformer based Dual Discriminator Generative Adversarial Networks for Video Anomaly Detection

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


Tools for the analysis of structural variation in genomes

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

Towards population-scale long-read sequencing

Benchmarking challenging small variants with linked and long reads

A crowdsourced set of curated structural variants for the human genome

An INDEL genomic approach to explore population diversity of phytoplankton :Bathycoccus, a case study


Open source Li-ion data management and modelling software


Clustering routines for the unit sphere

Directional Statistics-based Deep Metric Learning for Image Classification and Retrieval

Directional Statistics in Machine Learning: a Brief Review

A Novel Approach to Clustering Accelerometer Data for Application in Passive Predictions of Changes in Depression Severity

Guiding Symbolic Natural Language Grammar Induction via Transformer-Based Sequence Probabilities

A Framework for Authorial Clustering of Shorter Texts in Latent Semantic Spaces

Changing the Geometry of Representations: α-Embeddings for NLP Tasks

Word Embeddings as Features for Supervised Coreference Resolution

Recent Advances in Natural Language Processing

Automatically Computable Metrics to Generate Metaphorical Verb Expressions

On the Replicability of Combining Word Embeddings and Retrieval Models


A simple module to collect video, text, and metadata from Tiktok.

Remixing war: An analysis of the reimagination of the Russian–Ukraine war on TikTok

ITA-ELECTION-2022: A Multi-Platform Dataset of Social Media Conversations Around the 2022 Italian General Election

Self-Expression and Sharing around Chronic Illness on TikTok

GET-Tok: A GenAI-Enriched Multimodal TikTok Dataset Documenting the 2022
  Attempted Coup in Peru


MITK Diffusion - Official part of the Medical Imaging Interaction Toolkit

Fiberfox: Facilitating the creation of realistic white matter software phantoms

Real-time multi-peak tractography for instantaneous connectivity display

Fiber tractography using machine learning

The Application of Functional Magnetic Resonance Imaging in Type 2 Diabetes Rats With Contrast-Induced Acute Kidney Injury and the Associated Innate Immune Response

atTRACTive: Semi-automatic white matter tract segmentation using active learning

Simulated dMRI images and ground truth of random fiber phantoms in various configurations

Zenodo (CERN European Organization for Nuclear Research)


Series of work (ECCV2020, CVPR2021, CVPR2021, ECCV2022) about Compositional Learning for Human-Object Interaction Exploration

Visual Compositional Learning for Human-Object Interaction Detection

Affordance Transfer Learning for Human-Object Interaction Detection

Detecting Human-Object Interaction via Fabricated Compositional Learning

Discovering Human-Object Interaction Concepts via Self-Compositional Learning


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 of Pseudomonas aeruginosa


Repository of Trans4PASS (accepted to CVPR2022)

Joint 2D-3D-Semantic Data for Indoor Scene Understanding

Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation

Behind Every Domain There is a Shift: Adapting Distortion-aware Vision Transformers for Panoramic Semantic Segmentation


Sound event localization, detection, and tracking of multiple overlapping and moving sources in 2D spherical space using convolutional recurrent neural network

Sound Event Localization and Detection of Overlapping Sources Using Convolutional Recurrent Neural Networks

IEEE Journal on Selected Topics in Signal Processing

L3DAS22 Challenge: Learning 3D Audio Sources in a Real Office Environment

Localization, Detection and Tracking of Multiple Moving Sound Sources with a Convolutional Recurrent Neural Network

L3DAS21 Challenge: Machine Learning for 3D Audio Signal Processing


Bayesian inference of ancestral dates on bacterial phylogenetic trees

Genomic epidemiology of Campylobacter fetus subsp. venerealis from Germany

The ICU environment contributes to the endemicity of the “ Serratia marcescens complex” in the hospital setting

The emergence of highly resistant and hypervirulent Klebsiella pneumoniae CC14 clone in a tertiary hospital over 8 years


Papers and code related to 'Less Than One'-Shot (LO-Shot) Learning

'Less Than One'-Shot Learning: Learning N Classes From M<N Samples

One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes

Optimal 1-NN prototypes for pathological geometries


mPLUG-DocOwl: Modularized Multimodal Large Language Model for Document Understanding

mPLUG-DocOwl 1.5: Unified Structure Learning for OCR-free Document
  Understanding

mPLUG-PaperOwl: Scientific Diagram Analysis with the Multimodal Large Language Model

TinyChart: Efficient Chart Understanding with Visual Token Merging and
  Program-of-Thoughts Learning


RGB-D Salient Object Detection: A Survey

Rethinking RGB-D Salient Object Detection: Models, Data Sets, and Large-Scale Benchmarks

IEEE transactions on neural networks and learning systems

Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection

Siamese Network for RGB-D Salient Object Detection and Beyond

Uncertainty Inspired RGB-D Saliency Detection

Specificity-preserving RGB-D Saliency Detection


Code for ML Doctor

ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models

Lessons Learned: Defending Against Property Inference Attacks

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

No Privacy Left Outside: On the (In-)Security of TEE-Shielded DNN Partition for On-Device ML


White balance camera-rendered sRGB images (CVPR 2019) [Matlab & Python]

When Color Constancy Goes Wrong: Correcting Improperly White-Balanced Images

Deep White-Balance Editing

Image color correction, enhancement, and editing


Model Agnostic Counterfactual Explanations

Algorithmic Recourse: from Counterfactual Explanations to Interventions

Model-Agnostic Counterfactual Explanations for Consequential Decisions

Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications

Optimal Counterfactual Explanations in Tree Ensembles

NICE: An Algorithm for Nearest Instance Counterfactual Explanations


This is the data repository for the Imperial College London YouGov Covid 19 Behaviour Tracker Data Hub.

Estimating marine plastic pollution from COVID-19 face masks in coastal regions

Recent Smell Loss Is the Best Predictor of COVID-19 Among Individuals With Recent Respiratory Symptoms

The psychosocial impact of the COVID-19 pandemic on changes in smoking behavior: Evidence from a nationwide survey in the UK

Modelling the impact of vaccine hesitancy in prolonging the need for Non-Pharmaceutical Interventions to control the COVID-19 pandemic

Inequality-Related Health and Social Factors and Their Impact on Well-Being during the COVID-19 Pandemic: Findings from a National Survey in the UK

International journal of environmental research and public health

Recent smell loss is the best predictor of COVID-19: a preregistered, cross-sectional study

medRxiv : the preprint server for health sciences

Improving vaccination intent among skeptics through confidence in governments' handling of the COVID-19 pandemic

Lessons from COVID-19 for rescalable data collection

A cross-national study of multilevel determinants on public fully vaccination against COVID-19

Associations Between Compliance With Non-pharmaceutical Interventions and Social-distancing Policies in Korea During the COVID-19 Pandemic

Journal of preventive medicine and public health = Yebang Uihakhoe chi


Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

Maxmin Q-learning: Controlling the Estimation Bias of Q-learning

Randomized Exploration for Reinforcement Learning with General Value Function Approximation

Automating Control of Overestimation Bias for Reinforcement Learning

Model-free Policy Learning with Reward Gradients

Highway Reinforcement Learning


Tools for evaluating the performance of MT metrics on data from recent WMT metrics shared tasks.

TIM: Teaching Large Language Models to Translate with Comparison

GEMBA-MQM: Detecting Translation Quality Error Spans with GPT-4

Ties Matter: Meta-Evaluating Modern Metrics with Pairwise Accuracy and Tie Calibration

Not All Metrics Are Guilty: Improving NLG Evaluation by Diversifying References

SESCORE2: Learning Text Generation Evaluation via Synthesizing Realistic Mistakes

Learning Evaluation Models from Large Language Models for Sequence Generation

Test-time Adaptation for Machine Translation Evaluation by Uncertainty Minimization

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


An open-source framework for conducting data poisoning attacks on recommendation systems, designed to assist researchers and practitioners.

Poisoning Attacks against Recommender Systems: A Survey

Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks

Poisoning Attacks and Defenses in Recommender Systems: A Survey


DERA: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents

MEDCOD: A Medically-Accurate, Emotive, Diverse, and Controllable Dialog System

Adding more data does not always help: A study in medical conversation summarization with PEGASUS

Injecting knowledge into language generation: a case study in auto-charting after-visit care instructions from medical dialogue

Learning functional sections in medical conversations: iterative pseudo-labeling and human-in-the-loop approach

OSLAT: Open Set Label Attention Transformer for Medical Entity Retrieval and Span Extraction


Official code for the CVPR 2022 (oral) paper "Extracting Triangular 3D Models, Materials, and Lighting From Images".

Flexible Isosurface Extraction for Gradient-Based Mesh Optimization

CADSim: Robust and Scalable in-the-wild 3D Reconstruction for Controllable Sensor Simulation

Reconstructing Objects in-the-wild for Realistic Sensor Simulation

TetraDiffusion: Tetrahedral Diffusion Models for 3D Shape Generation

SLANG.D: Fast, Modular and Differentiable Shader Programming

Sparse 3D Reconstruction via Object-Centric Ray Sampling

Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis


Whole Genome Simulator for Next-Generation Sequencing

Evaluating the Information Content of Shallow Shotgun Metagenomics

Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection

The Drosophila Genome Nexus: A Population Genomic Resource of 623 Drosophila melanogaster Genomes, Including 197 from a Single Ancestral Range Population

Interactive analysis and assessment of single-cell copy-number variations

Exploring Genome Characteristics and Sequence Quality Without a Reference

Accurate human microsatellite genotypes from high-throughput resequencing data using informed error profiles

BioBloom tools: fast, accurate and memory-efficient host species sequence screening using bloom filters

Spaced seeds improve k-mer-based metagenomic classification

NanoVar: Accurate Characterization of Patients’ Genomic Structural Variants Using Low-Depth Nanopore Sequencing

QC-Chain: Fast and Holistic Quality Control Method for Next-Generation Sequencing Data


Code for Supervised Word Mover's Distance (SWMD)

Supervised Word Mover's Distance

Supervised Tree-Wasserstein Distance

Approximating 1-Wasserstein Distance with Trees

Wasserstein-Fisher-Rao Document Distance

Interpretable contrastive word mover's embedding


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


A map of transcriptional heterogeneity and regulatory variation in human microglia

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

Mapping interindividual dynamics of innate immune response at single-cell resolution

MET Exon 14 Skipping: A Case Study for the Detection of Genetic Variants in Cancer Driver Genes by Deep Learning

International journal of molecular sciences

Development of a cloud-based Bioinformatics Training Platform

Analysis of miRNA expression in the trachea of Ri chicken infected with the highly pathogenic avian influenza H5N1 virus

Large-scale map of RNA binding protein interactomes across the mRNA life-cycle

bioRxiv : the preprint server for biology

Inhibition of protein arginine methyltransferase 6 activates interferon signaling and induces the apoptosis of endometrial cancer cells via histone modification


Exact methods for simulating fractional Brownian motion and fractional Gaussian noise in python

Measurement of anomalous diffusion using recurrent neural networks.

Machine learning classification of particle trajectories in living cells: machine learning versus statistical testing hypothesis

Discriminating chaotic and stochastic time series using permutation entropy and artificial neural networks

Universal exploration dynamics of random walks

A direct method to detect deterministic and stochastic properties of data

Wavelet Image Restoration Using Multifractal Priors

Comparing Scale Parameter Estimators for Gaussian Process Regression: Cross Validation and Maximum Likelihood


A bounded-suboptimal solver for Multi-Agent Path Finding

EECBS: A Bounded-Suboptimal Search for Multi-Agent Path Finding

Priority Inheritance with Backtracking for Iterative Multi-agent Path Finding


Open Source Light Field Toolbox for Super-Resolution

NTIRE 2023 Challenge on Light Field Image Super-Resolution: Dataset, Methods and Results

Advanced Scalability for Light Field Image Coding

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

Diffusion-based Light Field Synthesis


Fast and easy exoplanet transit light curve modelling.

K2SC: flexible systematics correction and detrending of K2 light curves using Gaussian process regression

Monthly Notices of the Royal Astronomical Society

pytransit: fast and easy exoplanet transit modelling in python

Transiting exoplanet candidates from K2 Campaigns 5 and 6

The GTC exoplanet transit spectroscopy survey I: OSIRIS transmission spectroscopy of the short period planet WASP-43b

Multicolour photometry for exoplanet candidate validation

The Kepler-19 System: A Thick-envelope Super-Earth with Two Neptune-mass Companions Characterized Using Radial Velocities and Transit Timing Variations

Kepler-423b: a half-Jupiter mass planet transiting a very old solar-like star

Kepler-77b: a very low albedo, Saturn-mass transiting planet around a metal-rich solar-like star

A PSF-based approach to Kepler/K2 data – II. Exoplanet candidates in Praesepe (M 44)

The atmosphere and architecture of WASP-189 b probed by its CHEOPS phase curve


This repository contains the data and code introduced in the paper "CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models" (EMNLP 2020).

Bias and Fairness in Large Language Models: A Survey

Measuring Fairness with Biased Rulers: A Comparative Study on Bias Metrics for Pre-trained Language Models

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Measuring Fairness with Biased Rulers: A Survey on Quantifying Biases in Pretrained Language Models

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

An Efficient Multilingual Language Model Compression through Vocabulary Trimming

Robust Evaluation Measures for Evaluating Social Biases in Masked Language Models


A suite of tools for optimizing the shape and topology of electromagnetic structures.

Inverse design of grating couplers using the policy gradient method from reinforcement learning

Adjoint optimization of polarization-splitting grating couplers

Automatic differentiation accelerated shape optimization approaches to photonic inverse design on rectilinear simulation grids


Code for the paper "Meta-Learning Shared Hierarchies"

Meta Learning Shared Hierarchies

Reinforcement Learning with Competitive Ensembles of Information-Constrained Primitives

Multitask Soft Option Learning

Meta-Learning Parameterized Skills


graph wavenet

A Comprehensive Survey on Graph Neural Networks

Graph Neural Networks: A Review of Methods and Applications

Graph WaveNet for Deep Spatial-Temporal Graph Modeling

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Deep Learning on Traffic Prediction: Methods, Analysis and Future Directions

IEEE Transactions on Intelligent Transportation Systems

How to Build a Graph-Based Deep Learning Architecture in Traffic Domain: A Survey

ST-GRAT: A Novel Spatio-temporal Graph Attention Networks for Accurately Forecasting Dynamically Changing Road Speed

International Conference on Information and Knowledge Management

Spatio-Temporal Graph Neural Networks for Predictive Learning in Urban Computing: A Survey

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Filling the G_ap_s: Multivariate Time Series Imputation by Graph Neural Networks


ESimCSE: Enhanced Sample Building Method for Contrastive Learning of Unsupervised Sentence Embedding

InfoCSE: Information-aggregated Contrastive Learning of Sentence Embeddings

Smoothed Contrastive Learning for Unsupervised Sentence Embedding

DistilCSE: Effective Knowledge Distillation For Contrastive Sentence Embeddings


Tutorials on phylogenetic and phylogenomic inference

Drivers and dynamics of a massive adaptive radiation in cichlid fishes

Most Genomic Loci Misrepresent the Phylogeny of an Avian Radiation Because of Ancient Gene Flow

Selection-driven trait loss in independently evolved cavefish populations

Hybridization underlies localized trait evolution in cavefish

Hybridization dynamics and extensive introgression in the Daphnia longispina species complex: new insights from a high-quality Daphnia galeata reference genome

Ocean current patterns drive the worldwide colonization of eelgrass (Zostera marina)

Genomic evidence for recurrent genetic admixture during domestication mediterranean olive trees (Olea europaea)

Parallel evolution in an island archipelago revealed by genomic sequencing of Hipposideros leaf-nosed bats

Evolution; international journal of organic evolution


Dataset for NAACL 2021 paper: "QMSum: A New Benchmark for Query-based Multi-domain Meeting Summarization"

Exploring Neural Models for Query-Focused Summarization

AWESOME: GPU Memory-constrained Long Document Summarization using Memory Mechanism and Global Salient Content

Meeting Summarization with Pre-training and Clustering Methods


Code for Discriminability objective for training descriptive captions(CVPR 2018)

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

Context-aware Captions from Context-agnostic Supervision

Describing like humans: on diversity in image captioning

Towards Unique and Informative Captioning of Images


TAP: An automated jailbreaking method for black-box LLMs

Tree of Attacks: Jailbreaking Black-Box LLMs Automatically

Gradient Cuff: Detecting Jailbreak Attacks on Large Language Models by
  Exploring Refusal Loss Landscapes

Defensive Prompt Patch: A Robust and Interpretable Defense of LLMs
  against Jailbreak Attacks


JFLEG (JHU FLuency-Extended GUG) corpus for Grammatical Error Correction Evaluation

JFLEG: A Fluency Corpus and Benchmark for Grammatical Error Correction

CGMH: Constrained Sentence Generation by Metropolis-Hastings Sampling

Connecting the Dots: Towards Human-Level Grammatical Error Correction

Workshop on Innovative Use of NLP for Building Educational Applications

Grammatical Error Correction in Low Error Density Domains: A New Benchmark and Analyses

Improving Grammatical Error Correction Models with Purpose-Built Adversarial Examples

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP)


Hessian spectral density estimation in TF and Jax

Sharpness-Aware Minimization for Efficiently Improving Generalization

An Investigation into Neural Net Optimization via Hessian Eigenvalue Density

The instabilities of large learning rate training: a loss landscape view


Small utilities for working with fastq sequence files.

cfDNA methylome profiling for detection and subtyping of small cell lung cancers

Zenodo (CERN European Organization for Nuclear Research)

Neofusicoccum parvum Colonization of the Grapevine Woody Stem Triggers Asynchronous Host Responses at the Site of Infection and in the Leaves

Mitogenomics of historical type specimens of Australasian turtles: clarification of taxonomic confusion and old mitochondrial introgression

A generalist–specialist trade-off between switchgrass cytotypes impacts climate adaptation and geographic range

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

Fast and cost-effective SARS-CoV-2 variant detection using Oxford Nanopore full-length spike gene sequencing


Implementation of Directional Graph Networks in PyTorch and DGL

Neural Message Passing for Quantum Chemistry

Principal Neighbourhood Aggregation for Graph Nets

Directional Graph Networks


Research on Tabular Deep Learning: Papers & Packages

TransTab: Learning Transferable Tabular Transformers Across Tables

Towards Cross-Table Masked Pretraining for Web Data Mining

Benchmarking Distribution Shift in Tabular Data with TableShift

TabRet: Pre-training Transformer-based Tabular Models for Unseen Columns

UniPredict: Large Language Models are Universal Tabular Classifiers

NCART: Neural Classification and Regression Tree for Tabular Data


NAACL 2021: Are NLP Models really able to Solve Simple Math Word Problems?

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

Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes

Faithful Chain-of-Thought Reasoning

Boosting Language Models Reasoning with Chain-of-Knowledge Prompting

SELF: Self-Evolution with Language Feedback

PaD: Program-aided Distillation Can Teach Small Models Reasoning Better than Chain-of-thought Fine-tuning

Calibrating Large Language Models with Sample Consistency

Mastering Symbolic Operations: Augmenting Language Models with Compiled Neural Networks

Design of Chain-of-Thought in Math Problem Solving


Implementation of Hang et al. 2020 "Hyperspectral Image Classification with Attention Aided CNNs" for tree species prediction

Hyperspectral Image Classification With Attention-Aided CNNs

Capturing long‐tailed individual tree diversity using an airborne imaging and a multi‐temporal hierarchical model

Remote Sensing in Ecology and Conservation


OpenIE6 system

OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction

DetIE: Multilingual Open Information Extraction Inspired by Object Detection

OPAL: Ontology-Aware Pretrained Language Model for End-to-End Task-Oriented Dialogue

Syntactic Multi-view Learning for Open Information Extraction

IELM: An Open Information Extraction Benchmark for Pre-Trained Language Models

Open Information Extraction via Chunks


Steven C. Y. Hung, Cheng-Hao Tu, Cheng-En Wu, Chien-Hung Chen, Yi-Ming Chan, and Chu-Song Chen, "Compacting, Picking and Growing for Unforgetting Continual Learning," Thirty-third Conference on Neural Information Processing Systems, NeurIPS 2019

Increasingly Packing Multiple Facial-Informatics Modules in A Unified Deep-Learning Model via Lifelong Learning

International Conference on Multimedia Retrieval

Canonical Saliency Maps: Decoding Deep Face Models


Simple, extendable, easy to understand Glow implementation in PyTorch

Glow: Generative Flow with Invertible 1x1 Convolutions

Do Deep Generative Models Know What They Don't Know?

Your Classifier is Secretly an Energy Based Model and You Should Treat it Like One

Understanding and Mitigating Exploding Inverses in Invertible Neural Networks

Understanding Anomaly Detection with Deep Invertible Networks through Hierarchies of Distributions and Features

Denoising diffusion models for out-of-distribution detection

Refining Deep Generative Models via Discriminator Gradient Flow

RockFlow: Fast Generation of Synthetic Source Rock Images Using Generative Flow Models

Normalizing flows for random fields in cosmology

Data Invariants to Understand Unsupervised Out-of-Distribution Detection


Code for using and evaluating SpanBERT.

SpanBERT: Improving Pre-training by Representing and Predicting Spans

Decontextualization: Making Sentences Stand-Alone

The Role of Context in Detecting Previously Fact-Checked Claims

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

Can Small and Synthetic Benchmarks Drive Modeling Innovation? A Retrospective Study of Question Answering Modeling Approaches.

Constrained Multi-Task Learning for Event Coreference Resolution

North American Chapter of the Association for Computational Linguistics

Span-Based Event Coreference Resolution

THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Generative Prompt Tuning for Relation Classification

Do Question Answering Modeling Improvements Hold Across Benchmarks?

Bringing order into the realm of Transformer-based language models for artificial intelligence and law


Generating images with recurrent adversarial networks

CapsuleGAN: Generative Adversarial Capsule Network

Imbalanced Data Learning by Minority Class Augmentation using Capsule Adversarial Networks

Generative Adversarial Parallelization


Graph-linked unified embedding for single-cell multi-omics data integration

Multi-omics single-cell data integration and regulatory inference with graph-linked embedding

Deep Learning in Single-Cell Analysis

Multi-omics integration and regulatory inference for unpaired single-cell data with a graph-linked unified embedding framework

scBridge embraces cell heterogeneity in single-cell RNA-seq and ATAC-seq data integration


autoxgboost - Automatic tuning and fitting of xgboost

Automatic Gradient Boosting

Testing the Suitability of Automated Machine Learning for Weeds Identification

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


A library for speech data augmentation in time-domain

Data Augmenting Contrastive Learning of Speech Representations in the Time Domain

Wav2Vec-Aug: Improved self-supervised training with limited data

Improving Generalizability of Distilled Self-Supervised Speech Processing Models Under Distorted Settings

Toward Degradation-Robust Voice Conversion

DualVC 2: Dynamic Masked Convolution for Unified Streaming and Non-Streaming Voice Conversion

Synthetic speech detection using meta-learning with prototypical loss

Representation Learning With Hidden Unit Clustering for Low Resource Speech Applications

DualVC 3: Leveraging Language Model Generated Pseudo Context for End-to-end Low Latency Streaming Voice Conversion


impact-driven-exploration

RIDE: Rewarding Impact-Driven Exploration for Procedurally-Generated Environments

Learning with AMIGo: Adversarially Motivated Intrinsic Goals

ELLA: Exploration through Learned Language Abstraction

Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments

EAGER: Asking and Answering Questions for Automatic Reward Shaping in Language-guided RL

Rewarding Episodic Visitation Discrepancy for Exploration in Reinforcement Learning

Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement Learning

Tackling Visual Control via Multi-View Exploration Maximization


Yet another Hi-C scaffolding tool

The clove (Syzygium aromaticum) genome provides insights into the eugenol biosynthesis pathway

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

The genome sequence of the Large Longhorn, Nematopogon swammerdamella (Linnaeus, 1758)

The genome sequence of the tachinid fly, Epicampocera succincta (Meigen, 1824)

The genome sequence of the King Ragworm, Alitta virens (Sars, 1835)

The genome sequence of the northern goshawk, Accipiter gentilis (Linnaeus, 1758)

The genome sequence of the Squinting Bush Brown, Bicyclus anynana (Butler, 1879)

The genome sequence of Philonthus cognatus (Stephens, 1832) (Coleoptera, Staphylinidae), a rove beetle

The genome sequences of the marine diatom Epithemia pelagica strain UHM3201 (Schvarcz, Stancheva & Steward, 2022) and its nitrogen-fixing, endosymbiotic cyanobacterium

The genome sequence of the Ear Moth, Amphipoea oculea (Linnaeus, 1761)


Data and code for grapheme-to-phoneme transducers in lots of languages

Simple and Effective Zero-shot Cross-lingual Phoneme Recognition

That Sounds Familiar: an Analysis of Phonetic Representations Transfer Across Languages

The Taxonomy of Writing Systems: How to Measure How Logographic a System Is

International Conference on Computational Logic

Fast transcription of speech in low-resource languages

Whistle: Data-Efficient Multilingual and Crosslingual Speech Recognition
  via Weakly Phonetic Supervision


Implementation of Rank-biased Overlap

Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agents

Evaluating Tree Explanation Methods for Anomaly Reasoning: A Case Study of SHAP TreeExplainer and TreeInterpreter

Unsupervised Word Polysemy Quantification with Multiresolution Grids of Contextual Embeddings

Automatic Readability Assessment for Closely Related Languages

Faking feature importance: A cautionary tale on the use of differentially-private synthetic data

Packaged foods with pulse ingredients in Europe: A dataset of text-mined product formulations

Understanding Cross-modal Interactions in V&L Models that Generate Scene Descriptions

Do Similar Entities have Similar Embeddings?

A cross-lingual analysis on the spread of misinformation using the case of Ivermectin as a treatment for Covid-19


Repository containing Pytorch code for EKFAC and K-FAC perconditioners.

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

A Simple Baseline for Bayesian Uncertainty in Deep Learning

A Kronecker-factored approximate Fisher matrix for convolution layers

Fast Approximate Natural Gradient Descent in a Kronecker-factored Eigenbasis

Diagonal Rescaling For Neural Networks

Differential Dynamic Programming Neural Optimizer.

Dynamic Game Theoretic Neural Optimizer

DDPNOpt: Differential Dynamic Programming Neural Optimizer

A Differential Game Theoretic Neural Optimizer for Training Residual Networks


Project for Connectionist Temporal Classification with Maximum Entropy Regularization.

Text Recognition in the Wild: A Survey

Self-distillation Regularized Connectionist Temporal Classification Loss for Text Recognition: A Simple Yet Effective Approach


A Kitti Road Segmentation model implemented in tensorflow.

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

The Art and Practice of Data Science Pipelines: A Comprehensive Study of
  Data Science Pipelines In Theory, In-The-Small, and In-The-Large

ANDA: A Novel Data Augmentation Technique Applied to Salient Object Detection

Masking Salient Object Detection, a Mask Region-based Convolutional Neural Network Analysis for Segmentation of Salient Objects

Towards a Change Taxonomy for Machine Learning Systems


Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks

Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks

SITReg: Multi-resolution architecture for symmetric, inverse consistent, and topology preserving image registration


This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

EEGNet: a compact convolutional neural network for EEG-based brain–computer interfaces

Compact convolutional neural networks for classification of asynchronous steady-state visual evoked potentials

Deep Learning Based on Event-Related EEG Differentiates Children with ADHD from Healthy Controls

EEG-Based Cross-Subject Driver Drowsiness Recognition With an Interpretable Convolutional Neural Network

Decoding Movement From Electrocorticographic Activity: A Review

Data Augmentation: Using Channel-Level Recombination to Improve Classification Performance for Motor Imagery EEG

Decoding P300 Variability Using Convolutional Neural Networks

A few filters are enough: Convolutional Neural Network for P300 Detection

Toward reliable signals decoding for electroencephalogram: A benchmark study to EEGNeX

Priming Cross-Session Motor Imagery Classification with A Universal Deep Domain Adaptation Framework


This is the code for our KILT leaderboard submissions (KGI + Re2G models).

Re2G: Retrieve, Rerank, Generate

Robust Retrieval Augmented Generation for Zero-shot Slot Filling

KGI: An Integrated Framework for Knowledge Intensive Language Tasks

Zero-shot Slot Filling with DPR and RAG


a lightweight bam file depth statistical tool

Rapid Identification of Drug-Resistant Tuberculosis Genes Using Direct PCR Amplification and Oxford Nanopore Technology Sequencing

The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale

Whole Genome Assembly of Human Papillomavirus by Nanopore Long-Read Sequencing

Tracking the evolution of esophageal squamous cell carcinoma under dynamic immune selection by multi-omics sequencing

Identification of region of difference and H37Rv-related deletion in Mycobacterium tuberculosis complex by structural variant detection and genome assembly

Cytogenetic identification and molecular marker development of a novel wheat-Leymus mollis 4Ns(4D) alien disomic substitution line with resistance to stripe rust and Fusarium head blight

Analysis of pangolin metagenomic datasets reveals significant contamination, raising concerns for pangolin CoV host attribution

ViralFlow: an automated workflow for SARS-CoV-2 genome assembly, lineage assignment, mutations and intrahost variants detection

Detecting and monitoring bladder cancer with exfoliated cells in urine

Assessment of clinical characteristics and viral load in individuals infected by Delta and Omicron variants of SARS-CoV-2


Out of time: automated lip sync in the wild

A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild

MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA

CN-Celeb: multi-genre speaker recognition

Neural Dubber: Dubbing for Videos According to Scripts

Emotionally Enhanced Talking Face Generation

On the Audio-visual Synchronization for Lip-to-Speech Synthesis

Extreme-scale Talking-Face Video Upsampling with Audio-Visual Priors

Proceedings of the 30th ACM International Conference on Multimedia

RADIO: Reference-Agnostic Dubbing Video Synthesis


Python3 bindings for the Compact Language Detector v3 (CLD3)

Geographically-Balanced Gigaword Corpora for 50 Language Varieties

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

HC4: A New Suite of Test Collections for Ad Hoc CLIR

Cultural Convergence: Insights into the behavior of misinformation networks on Twitter

Analysing the effectiveness of Twitter as an equitable community communication tool for international conferences

Code-Switched Text Synthesis in Unseen Language Pairs


Code and Data for ICLR2021 Paper "Open Question Answering over Tables and Text"

Open-domain Question Answering via Chain of Reasoning over Heterogeneous Knowledge

Equipping Language Models with Tool Use Capability for Tabular Data
  Analysis in Finance


View synthesis for the public.

SynSin: End-to-end View Synthesis from a Single Image

Geometry-Free View Synthesis: Transformers and no 3D Priors

Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image

FWD: Real-time Novel View Synthesis with Forward Warping and Depth

Layout-Guided Novel View Synthesis from a Single Indoor Panorama

Bridging Implicit and Explicit Geometric Transformation for Single-Image View Synthesis


An R package to test for batch effects in high-dimensional single-cell RNA sequencing data.

Single-cell multi-omics analysis of the immune response in COVID-19

A test metric for assessing single-cell RNA-seq batch correction

Assessment of batch-correction methods for scRNA-seq data with a new test metric

Effective and scalable single-cell data alignment with non-linear canonical correlation analysis

The cellular immune response to COVID-19 deciphered by single cell multi-omics across three UK centres


NeuSpell: A Neural Spelling Correction Toolkit

One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling

Perturbations in the Wild: Leveraging Human-Written Text Perturbations for Realistic Adversarial Attack and Defense

GIO: Gradient Information Optimization for Training Dataset Selection

UPTON: Preventing Authorship Leakage from Public Text Release via Data Poisoning


Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.

Latent ODEs for Irregularly-Sampled Time Series

Neural Controlled Differential Equations for Irregular Time Series

On Neural Differential Equations

Neural Rough Differential Equations for Long Time Series

Signatory: differentiable computations of the signature and logsignature transforms, on both CPU and GPU

Efficient and Accurate Gradients for Neural SDEs

Neural Controlled Differential Equations for Online Prediction Tasks

PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation

NRTSI: Non-Recurrent Time Series Imputation

Lecture notes on rough paths and applications to machine learning


Convolutional 2D Knowledge Graph Embeddings resources

Go for a Walk and Arrive at the Answer: Reasoning Over Paths in Knowledge Bases using Reinforcement Learning

Knowledge Graph Embedding for Link Prediction: A Comparative Analysis

Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs

Adaptive Convolution for Multi-Relational Learning

Commonsense Knowledge Base Completion with Structural and Semantic Context

M-Walk: Learning to Walk over Graphs using Monte Carlo Tree Search

Realistic Re-evaluation of Knowledge Graph Completion Methods: An Experimental Study

Incorporating Literals into Knowledge Graph Embeddings

LibKGE - A knowledge graph embedding library for reproducible research

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING: SYSTEM DEMONSTRATIONS


The authors official implementation of Unsupervised Discovery of Interpretable Directions in the GAN Latent Space

Learning Disentangled Representation by Exploiting Pretrained Generative Models: A Contrastive Learning View

Disentangled Representations from Non-Disentangled Models

Deep Curvilinear Editing: Commutative and Nonlinear Image Manipulation for Pretrained Deep Generative Model


Discrete Graph Structure Learning for Forecasting Multiple Time Series, ICLR 2021.

Pre-training Enhanced Spatial-temporal Graph Neural Network for Multivariate Time Series Forecasting

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection

Online Metro Origin-Destination Prediction via Heterogeneous Information Aggregation

Sparse Graph Learning from Spatiotemporal Time Series

MBrain: A Multi-channel Self-Supervised Learning Framework for Brain Signals

RadNet: Incident Prediction in Spatio-Temporal Road Graph Networks Using Traffic Forecasting


RaGOO is no longer supported. Please use RagTag instead: https://github.com/malonge/RagTag

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

Twelve quick steps for genome assembly and annotation in the classroom

A new duck genome reveals conserved and convergently evolved chromosome architectures of birds and mammals

Near-chromosomal de novo assembly of Bengal tiger genome reveals genetic hallmarks of apex predation

The reference genome and transcriptome of the limestone langur, Trachypithecus leucocephalus, reveal expansion of genes related to alkali tolerance

CRISPR/Cas9-Mediated Enrichment Coupled to Nanopore Sequencing Provides a Valuable Tool for the Precise Reconstruction of Large Genomic Target Regions

International journal of molecular sciences

GALA: a computational framework for de novo chromosome-by-chromosome assembly with long reads


Pytorch implementation of "All Tokens Matter: Token Labeling for Training Better Vision Transformers"

Token Labeling: Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet

2nd Place Solution for VisDA 2021 Challenge -- Universally Domain Adaptive Image Recognition


EMNLP 2018: HyTE: Hyperplane-based Temporally aware Knowledge Graph Embedding

Empirical Methods in Natural Language Processing

Representation Learning for Dynamic Graphs: A Survey

Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs

DyERNIE: Dynamic Evolution of Riemannian Manifold Embeddings for Temporal Knowledge Graph Completion

On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods

Temporal Attribute Prediction via Joint Modeling of Multi-Relational Structure Evolution

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