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


Code for the paper "VisualBERT: A Simple and Performant Baseline for Vision and Language"

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

What Does BERT with Vision Look At?

Meeting of the Association for Computational Linguistics

VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena

Unsupervised Vision-and-Language Pre-training Without Parallel Images and Captions

Broaden the Vision: Geo-Diverse Visual Commonsense Reasoning

Seeing things or seeing scenes: Investigating the capabilities of V&L models to align scene descriptions to images

Surgical-VQLA: Transformer with Gated Vision-Language Embedding for
  Visual Question Localized-Answering in Robotic Surgery

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


The official AtmoSwing repository


Generative adversarial network for generating electronic health records.

Generating Multi-label Discrete Patient Records using Generative Adversarial Networks

GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models

Conference on Computer and Communications Security

Differentially Private Synthetic Medical Data Generation using Convolutional GANs

GAN-Leaks: A Taxonomy of Membership Inference Attacks against GANs

Generating Synthetic but Plausible Healthcare Record Datasets


Creative Commons Attribution 4.0 International

Table of Multiplexed Assay of Variant Effect (MAVE) studies

Deep Mutational Scanning of SARS-CoV-2 Receptor Binding Domain Reveals Constraints on Folding and ACE2 Binding

bioRxiv : the preprint server for biology

Accurate classification of BRCA1 variants with saturation genome editing

Systematic dissection and optimization of inducible enhancers in human cells using a massively parallel reporter assay

Massively parallel functional dissection of mammalian enhancers in vivo

High-resolution mapping of protein sequence-function relationships

Local fitness landscape of the green fluorescent protein

Inferring gene regulatory logic from high-throughput measurements of thousands of systematically designed promoters

The spatial architecture of protein function and adaptation

Computational design of ligand-binding proteins with high affinity and selectivity

Direct Identification of Hundreds of Expression-Modulating Variants using a Multiplexed Reporter Assay


Tabulated Correlation Functions

Five-percent measurements of the growth rate from simulation-based modelling of redshift-space clustering in BOSS LOWZ.

On the halo-mass and radial scale dependence of the lensing is low effect

Monthly Notices of the Royal Astronomical Society

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

Differentiable Predictions for Large Scale Structure with SHAMNet

Constraints on S_8 from a full-scale and full-shape analysis of
  redshift-space clustering and galaxy-galaxy lensing in BOSS

Evidence of galaxy assembly bias in SDSS DR7 galaxy samples from count statistics


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

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

Combined APOGEE-GALAH stellar catalogues using the Cannon


genetic distance plotting for recombination events analysis

RDP4: Detection and analysis of recombination patterns in virus genomes

Expanded classification of hepatitis C virus into 7 genotypes and 67 subtypes: Updated criteria and genotype assignment web resource

Analysis and insights into recombination signals in lumpy skin disease virus recovered in the field

Comparative Genomics and Characterization of SARS-CoV-2 P.1 (Gamma) Variant of Concern From Amazonas, Brazil

Recan: Python tool for analysis of recombination events in viral genomes


ESEC/FSE'21: Prediction-Preserving Program Simplification

A Convolutional Attention Network for Extreme Summarization of Source Code

Neural Program Repair by Jointly Learning to Localize and Repair

Understanding neural code intelligence through program simplification

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21)

Diet code is healthy: simplifying programs for pre-trained models of code

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Syntax-guided program reduction for understanding neural code intelligence models

Proceedings of the 6th ACM SIGPLAN International Symposium on Machine Programming

Artifact for Article (SIVAND): Understanding Neural Code Intelligence Through Program Simplification


Language family classifications as Newick trees

Languages Support Efficient Communication about the Environment: Words for Snow Revisited

Making genealogical language classifications available for phylogenetic analysis

Defining and Counting Phonological Classes in Cross-linguistic Segment Databases


Complex Embeddings for Simple Link Prediction

Order-Embeddings of Images and Language

Hyperbolic Entailment Cones for Learning Hierarchical Embeddings

Improving Local Identifiability in Probabilistic Box Embeddings

Capacity and Bias of Learned Geometric Embeddings for Directed Graphs


A package for hadron resonance gas model applications (current version: 1.4.2)

Thermal-FIST: A package for heavy-ion collisions and hadronic equation of state

Multiplicity dependence of light nuclei production at LHC energies in the canonical statistical model

Finite resonance widths influence the thermal-model description of hadron yields

Hadron yields and fluctuations at energies available at the CERN Super Proton Synchrotron: System-size dependence from Pb + Pb to
p+p
 collisions

Statistical hadron-gas treatment of systems created in proton-proton interactions at energies available at the CERN Super Proton Synchrotron

Light nuclei in the hadron resonance gas

International journal of modern physics E

Estimation of the freeze-out parameters reachable in a fixed-target experiment at the CERN Large Hadron Collider

Rapidity scan approach for net-baryon cumulants with a statistical
  thermal model


Gene regulatory network reconstruction from pseudotemporal single-cell gene expression data

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

Network inference with Granger causality ensembles on single-cell transcriptomics

Network Inference with Granger Causality Ensembles on Single-Cell Transcriptomic Data


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


The EnsembleVariantCallingPipeline takes files in FASTQ or BAM format and performs SNV and INDEL variant calling from 4 variant callers (Mutect2, Strelka2, Varscan2, MuSE) and indel variant calling from 3 variant callers (Mutect2, Strelka2, Varscan2).

VarScan 2: Somatic mutation and copy number alteration discovery in cancer by exome sequencing

Strelka2: fast and accurate calling of germline and somatic variants

MuSE: accounting for tumor heterogeneity using a sample-specific error model improves sensitivity and specificity in mutation calling from sequencing data


Fiber Architecture Simulation Toolbox for 3D Polarized Light Imaging

Understanding fiber mixture by simulation in 3D Polarized Light Imaging

MEDUSA: A GPU-based tool to create realistic phantoms of the brain microstructure using tiny spheres

Derivation of Fiber Orientations From Oblique Views Through Human Brain Sections in 3D-Polarized Light Imaging

fastPLI: A Fiber Architecture Simulation Toolbox for 3D-PLI


Comprehensive Immune Monitoring of Clinical Trials to Advance Human Immunotherapy

Modulation of myeloid and T cells in vivo by Bruton's tyrosine kinase inhibitor ibrutinib in patients with metastatic pancreatic ductal adenocarcinoma


K means algorithm on the unit sphere

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

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

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

Dark Energy Survey year 1 results: Galaxy-galaxy lensing

Weak lensing by galaxy troughs in DES Science Verification data

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

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

Monthly notices of the Royal Astronomical Society

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

Dark energy survey year 3 results: High-precision measurement and modeling of galaxy-galaxy lensing


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

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

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

FlexFringe: Modeling Software Behavior by Learning Probabilistic
  Automata


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

The journal of physical chemistry letters

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


Stellar binary light curve synthesis tool

DISCOVERY OF THE OPTICAL COUNTERPARTS TO FOUR ENERGETIC FERMI MILLISECOND PULSARS

MULTIBAND STUDIES OF THE OPTICAL PERIODIC MODULATION IN THE X-RAY BINARY SAX J1808.4–3658 DURING ITS QUIESCENCE AND 2008 OUTBURST

An irradiated brown-dwarf companion to an accreting white dwarf

A Dense Companion to the Short-period Millisecond Pulsar Binary PSR J0636+5128

The long-term evolution of the X-ray pulsar XTE J1814-338: A receding jet contribution to the quiescent optical emission?

Neutron star mass estimates from gamma-ray eclipses in spider millisecond pulsar binaries

Mid-UV studies of the transitional millisecond pulsars XSS J12270-4859 and PSR J1023+0038 during their radio pulsar states

Irradiated but not eclipsed, the case of PSR J0610-2100


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


This package helps fisheries scientists collect growth data from calcified structures and back-calculate estimated lengths at previous ages. The package is intended to replace much of the functionality provided by the now out-dated fishBC software.


A tensorflow implementation of GraphGAN (Graph Representation Learning with Generative Adversarial Nets)

Deep Learning on Graphs: A Survey

GraphGAN: Graph Representation Learning with Generative Adversarial Nets

Seven-Layer Model in Complex Networks Link Prediction: A Survey

Adversarial Classifier for Imbalanced Problems

Generative Adversarial Nets for Information Retrieval: Fundamentals and Advances

On Investigating Both Effectiveness and Efficiency of Embedding Methods in Task of Similarity Computation of Nodes in Graphs


Library for computer-assisted proofs in dynamical systems

Periodic orbits in Hořava-Lifshitz cosmologies

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


Large-eddy simulation code written in CUDA Fortran for simulating atmospheric boundary layer flows


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

The Pristine survey IV: approaching the Galactic metallicity floor with the discovery of an ultra-metal-poor star

Elevated r-process enrichment in Gaia Sausage and Sequoia

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

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


Workflow to download, process, and explore microbial RNA-seq data from NCBI SRA

Mining all publicly available expression data to compute dynamic microbial transcriptional regulatory networks

Machine learning from Pseudomonas aeruginosa transcriptomes identifies independently modulated sets of genes associated with known transcriptional regulators

Machine Learning Uncovers a Data-Driven Transcriptional Regulatory Network for the Crenarchaeal Thermoacidophile Sulfolobus acidocaldarius

Advanced transcriptomic analysis reveals the role of efflux pumps and media composition in antibiotic responses of Pseudomonas aeruginosa

Pan-Genome Analysis of Transcriptional Regulation in Six Salmonella enterica Serovar Typhimurium Strains Reveals Their Different Regulatory Structures

Elucidation of independently modulated genes in Streptococcus pyogenes reveals carbon sources that control its expression of hemolytic toxins

The hallmarks of a tradeoff in transcriptomes that balances stress and growth functions

Proteome allocation is linked to transcriptional regulation through a modularized transcriptome


Dubbing in Practice: A Large Scale Study of Human Localization With Insights for Automatic Dubbing

Jointly Optimizing Translations and Speech Timing to Improve Isochrony
  in Automatic Dubbing

Improving Isochronous Machine Translation with Target Factors and Auxiliary Counters


power spectrum and window function estimation

The DESI One-Percent Survey: Modelling the clustering and halo
  occupation of all four DESI tracers with Uchuu


Investigating Robustness and Interpretability of Link Prediction via Adversarial Modifications

Adversarial Attacks on Knowledge Graph Embeddings via Instance Attribution Methods


Application of artificial intelligence and machine learning for COVID-19 drug discovery and vaccine design

SSnet: A Deep Learning Approach for Protein-Ligand Interaction Prediction

Predicting Potential SARS-COV-2 Drugs - In Depth Drug Database Screening Using Deep Neural Network Framework SSnet, Classical Virtual Screening and Docking

International journal of molecular sciences


a tool for predicting mitochondrial DNA deletions using soft-clipping

eKLIPse: a sensitive tool for the detection and quantification of mitochondrial DNA deletions from next-generation sequencing data

Genetics in medicine : official journal of the American College of Medical Genetics

OxPhos defects cause hypermetabolism and reduce lifespan in cells and in patients with mitochondrial diseases

A multi-omics longitudinal aging dataset in primary human fibroblasts with mitochondrial perturbations


Standing genetic variation fuels rapid evolution of herbicide resistance in blackgrass

Whole‐genome sequencing of SARS‐CoV‐2: Comparison of target capture and amplicon single molecule real‐time sequencing protocols

SARS-CoV-2 Co-Infections and Recombinations Identified by Long-Read Single-Molecule Real-Time Sequencing

VCFCons: a versatile VCF-based consensus sequence generator for small genomes


A Galaxy-Galaxy Lensing Python Package

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

Lensing Without Borders. I. A Blind Comparison of the Amplitude of
  Galaxy-Galaxy Lensing Between Independent Imaging Surveys

The Nature of Low Surface Brightness Galaxies in the Hyper Suprime-Cam
  Survey

The outer stellar mass of massive galaxies: a simple tracer of halo mass with scatter comparable to richness and reduced projection effects

DESI and DECaLS (D&D): galaxy–galaxy lensing measurements with 1 per cent survey and its forecast


Open Source Algorithm for Detecting Sea Ice Surface Features in High Resolution Optical Imagery

Open-source algorithm for detecting sea ice surface features in high-resolution optical imagery


The amazing will normalize non-standard Finnish/Swedish and dialectalize standard Finnish!

Dialect Text Normalization to Normative Standard Finnish

Empirical Methods in Natural Language Processing

Automatic Dialect Adaptation in Finnish and its Effect on Perceived Creativity

Lemmatization of Historical Old Literary Finnish Texts in Modern Orthography

Normalization of Different Swedish Dialects Spoken in Finland

Proceedings of the 4th ACM SIGSPATIAL Workshop on Geospatial Humanities

The Current State of Finnish NLP

Help from the Neighbors: Estonian Dialect Normalization Using a Finnish Dialect Generator

Workshop on Deep Learning Approaches for Low-Resource Natural Language Processing

Murreviikko - A Dialectologically Annotated and Normalized Dataset of Finnish Tweets

Workshop on NLP for Similar Languages, Varieties and Dialects


SwolfPy is a free, multi-platform, Python-based, open-source, SWM LCA optimization framework with built-in parametric and Monte Carlo sensitivity and uncertainty analysis capabilities.


Simple scripts for concatenate alignments and rename terminals for phylogenetics

Support for a clade of Placozoa and Cnidaria in genes with minimal compositional bias

In-depth phylogenomic analysis of arbuscular mycorrhizal fungi based on a comprehensive set of de novo genome assemblies

Placozoa and Cnidaria are sister taxa

Ecophysiology of the cosmopolitan OM252 bacterioplankton (Gammaproteobacteria)

The terrestrial isopod symbiont ‘Candidatus Hepatincola porcellionum’ is a potential nutrient scavenger related to Holosporales symbionts of protists

Division of labor within psyllids: metagenomics reveals an ancient dual endosymbiosis with metabolic complementarity in the genus Cacopsylla


A wrapper class for the scikit-learn BaseEstimator class that implements both the astroML and Bovy et al. (2011) XDGMM methods.

The contribution of N-rich stars to the Galactic stellar halo using APOGEE red giants

EmpiriciSN: Re-sampling Observed Supernova/Host Galaxy Populations Using an XD Gaussian Mixture Model

The stellar halo of the Milky Way traced by blue horizontal-branch stars in the Subaru Hyper Suprime-Cam Survey

Publications of the Astronomical Society of Japan

Galactic double neutron star total masses and Gaussian mixture model selection

Paving the way forEuclid and JWST via probabilistic selection of high-redshift quasars

The VVV open cluster project II. Near-infrared sequences of 37 open clusters on eight-dimensional parameter space


Towards agricultural autonomy: crop row detection under varying field conditions using deep learning

Deep learning-based Crop Row Detection for Infield Navigation of
  Agri-Robots

Towards Infield Navigation: leveraging simulated data for crop row detection

Vision based Crop Row Navigation under Varying Field Conditions in
  Arable Fields


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

Database : the journal of biological databases and curation


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

LLaMA: Open and Efficient Foundation Language Models


An Open-Source Hyperspectral Unmixing Python Package

Image Processing and Machine Learning for Hyperspectral Unmixing: An Overview and the HySUPP Python Package


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

Nippon Hoshasen Gijutsu Gakkai Zasshi/Nihon Houshasen Gijutsu Gakkai zasshi


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


[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


Suite of tools for processing BRB-seq data

BRB-seq: ultra-affordable high-throughput transcriptomics enabled by bulk RNA barcoding and sequencing

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

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

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

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

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

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

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


The Town Energy Balance (TEB) model software and platform

GeoClimate: a Geospatial processing toolbox for environmental and climate studies

Enhanced software and platform for the Town Energy Balance (TEB) model


Pyramid Scene Parsing Network, CVPR2017.

Pyramid Scene Parsing Network

On the Robustness of Semantic Segmentation Models to Adversarial Attacks

Benchmarking the Robustness of Semantic Segmentation Models

International journal of computer vision

A Deep Learning Approach for Meibomian Gland Atrophy Evaluation in Meibography Images

Translational vision science & technology

Context-aware saliency detection for image retargeting using convolutional neural networks

Application of Three Deep Learning Schemes Into Oceanic Eddy Detection

Color Constancy via Multi-Scale Region-Weighed Network Guided by Semantics

An Exploration of Recent Intelligent Image Analysis Techniques for Visual Pavement Surface Condition Assessment

A Multiscale-Based Adjustable Convolutional Neural Network for Multiple Organ Segmentation

Wireless communications and mobile computing


Python code to fit absorption lines semi-interactively

Large Metallicity Variations in the Galactic Interstellar Medium

Measuring the H i Content of Individual Galaxies Out to the Epoch of Reionization with [C ii]

Dust depletion of metals from local to distant galaxies

VoigtFit: A Python package for Voigt profile fitting

New constraints on the physical conditions in H-2-bearing GRB-host damped Lyman-alpha absorbers

The COS-legacy survey of C IV absorbers: properties and origins of the intervening systems

Monthly Notices of the Royal Astronomical Society

Gravitationally Lensed Quasar SDSS J1442+4055: Redshifts of Lensing Galaxies, Time Delay, Microlensing Variability, and Intervening Metal System atz∼ 2

Metal Lines Associated with the Lyα Forest from eBOSS Data


Code accompanying our NeurIPS 2021 traffic4cast challenge

Traffic4cast at NeurIPS 2021 -- Temporal and Spatial Few-Shot Transfer
  Learning in Gridded Geo-Spatial Processes

Dual Encoding U-Net for Spatio-Temporal Domain Shift Frame Prediction


Python module to compute and fit GRB afterglows.

A thousand days after the merger: Continued X-ray emission from GW170817

Monthly notices of the Royal Astronomical Society

A tale of two mergers: constraints on kilonova detection in two short GRBs at z ∼ 0.5

A search for optical and near-infrared counterparts of the compact binary merger GW190814

Proceedings of the International Astronomical Union

Swift-XRT Follow-up of Gravitational-wave Triggers in the Second Advanced LIGO/Virgo Observing Run

GRMHD Simulations of Neutron-star Mergers with Weak Interactions: r-process Nucleosynthesis and Electromagnetic Signatures of Dynamical Ejecta

The early afterglow of GRB 190829A


TESS TPF plotter with Gaia catalog

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

Planetary system LHS 1140 revisited with ESPRESSO and TESS

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

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?

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

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

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-530b: a giant planet transiting an M-dwarf detected by TESS


Universal Adversarial Triggers for Attacking and Analyzing NLP (EMNLP 2019)

Towards a Robust Deep Neural Network in Texts: A Survey

MALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models

Order-Disorder: Imitation Adversarial Attacks for Black-box Neural
  Ranking Models


Round matrix elements to lower precision in MATLAB

Derangements in wreath products of permutation groups

Simulating Low Precision Floating-Point Arithmetic

Stochastic Rounding and Its Probabilistic Backward Error Analysis

A Survey of Numerical Methods Utilizing Mixed Precision Arithmetic

Stochastic rounding: implementation, error analysis and applications

Random Matrices Generating Large Growth in LU Factorization with Pivoting

SIAM journal on matrix analysis and applications

Mixed Precision Iterative Refinement with Sparse Approximate Inverse
  Preconditioning

Multistage mixed precision iterative refinement

A Refined Probabilistic Error Bound for Sums

Mixed Precision GMRES-based Iterative Refinement with Recycling


A codebase & model zoo for pretrained backbone based on MegEngine.

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

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

MobileNetV2: Inverted Residuals and Linear Bottlenecks

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design

Deep High-Resolution Representation Learning for Visual Recognition

Designing Network Design Spaces


An Automated Scanning Transmission Electron Microscope Guided by Sparse Data Analytics

Towards Automating Structural Discovery in Scanning Transmission Electron Microscopy

Towards Augmented Microscopy with Reinforcement Learning-Enhanced Workflows

Microscopy and microanalysis : the official journal of Microscopy Society of America, Microbeam Analysis Society, Microscopical Society of Canada

Probe microscopy is all you need

Machine learning: science and technology


Evaluating Protein Transfer Learning with TAPE

Is Transfer Learning Necessary for Protein Landscape Prediction?

Contextual Lensing of Universal Sentence Representations

Fixed-Length Protein Embeddings using Contextual Lenses


Identification of Klebsiella capsule synthesis loci from whole genome data

Kaptive Web: User-Friendly Capsule and Lipopolysaccharide Serotype Prediction for Klebsiella Genomes

Identification of Acinetobacter baumannii loci for capsular polysaccharide (KL) and lipooligosaccharide outer core (OCL) synthesis in genome assemblies using curated reference databases compatible with Kaptive

Emergence of ST11-K47 and ST11-K64 hypervirulent carbapenem-resistant Klebsiella pneumoniae in bacterial liver abscesses from China: a molecular, biological, and epidemiological study

Kaptive 2.0: updated capsule and lipopolysaccharide locus typing for the Klebsiella pneumoniae species complex

Genomic dissection of Klebsiella pneumoniae infections in hospital patients reveals insights into an opportunistic pathogen

Molecular Characterization of Carbapenem Resistant Klebsiella pneumoniae and Klebsiella quasipneumoniae Isolated from Lebanon

The Occurence of Colistin-Resistant Hypervirulent Klebsiellapneumoniae in China

Carbapenemase-Producing Klebsiella pneumoniae From Transplanted Patients in Brazil: Phylogeny, Resistome, Virulome and Mobile Genetic Elements Harboring blaKPC–2 or blaNDM–1

An update to the database for Acinetobacter baumannii capsular polysaccharide locus typing extends the extensive and diverse repertoire of genes found at and outside the K locus


☘ Code for Convex Aggregation for Opinion Summarization (Iso et al; Findings of EMNLP 2021)

MeanSum: A Neural Model for Unsupervised Multi-document Abstractive Summarization

Comparative Opinion Summarization via Collaborative Decoding


Pairtree is a method for reconstructing cancer evolutionary history in individual patients, and analyzing intratumor genetic heterogeneity. Pairtree focuses on scaling to many more cancer samples and cancer cell subpopulations than other algorithms, and on producing concise and informative interactive characterizations of posterior uncertainty.

PyClone-VI: scalable inference of clonal population structures using whole genome data

Reconstructing Complex Cancer Evolutionary Histories from Multiple Bulk DNA Samples Using Pairtree

Pairtree: fast reconstruction of cancer evolutionary history using pairwise mutation relationships

Reconstructing cancer phylogenies using Pairtree, a clone tree reconstruction algorithm


SmalL bUt Complete GROne Synthesizer

Correct-by-synthesis reinforcement learning with temporal logic constraints

A High-Level LTL Synthesis Format: TLSF v1.0

The first reactive synthesis competition (SYNTCOMP 2014)

International journal on software tools for technology transfer

An Automaton Learning Approach to Solving Safety Games over Infinite Graphs

Performance Heuristics for GR(1) Synthesis and Related Algorithms

Low-Effort Specification Debugging and Analysis

Dynamics-Based Reactive Synthesis and Automated Revisions for High-Level Robot Control


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


Implementation of "Tracking without bells and whistles” and the multi-object tracking "Tracktor"

Tracking without bells and whistles

International Conference on Computer Vision

JRDB: A Dataset and Benchmark of Egocentric Robot Visual Perception of Humans in Built Environments

IEEE transactions on pattern analysis and machine intelligence

Multiple Pedestrians and Vehicles Tracking in Aerial Imagery Using a Convolutional Neural Network

3D Pose Estimation and Tracking in Handball Actions Using a Monocular Camera


A wheel-mounted MEMS IMU-based dead reckoning system.

Wheel-INS: A Wheel-Mounted MEMS IMU-Based Dead Reckoning System

A Comparison of Three Measurement Models for the Wheel-Mounted MEMS IMU-Based Dead Reckoning System

Wheel-INS2: Multiple MEMS IMU-Based Dead Reckoning System With Different Configurations for Wheeled Robots


Autonomous Ground Navigation in Highly Constrained Spaces: Lessons
  learned from The BARN Challenge at ICRA 2022

Autonomous Ground Navigation in Highly Constrained Spaces: Lessons
  learned from The 2nd BARN Challenge at ICRA 2023

The BARN Challenge 2023 -- Autonomous Navigation in Highly Constrained
  Spaces -- Inventec Team


Astronomy (HI) extension for 3DSlicer (https://www.slicer.org/)

WALLABY early science – III. An H i study of the spiral galaxy NGC 1566

SlicerAstro: A 3-D interactive visual analytics tool for HI data

Finding faint H I structure in and around galaxies: Scraping the barrel

Understanding the human in the design of cyber-human discovery systems for data-driven astronomy

3-D interactive visualisation tools for HI spectral line imaging


A set of real-world multi-objective optimization problems

Identifying Properties of Real-World Optimisation Problems through a
  Questionnaire


Brain Surrogate Maps with Autocorrelated Spatial Heterogeneity

Overcoming bias in gene-set enrichment analyses of brain-wide transcriptomic data

Resting-state brain functional alterations and their genetic mechanisms in drug-naive first-episode psychosis

A phylogenetically-conserved axis of thalamocortical connectivity in the human brain

Transcriptional signatures of the whole-brain voxel-wise resting-state functional network centrality alterations in schizophrenia

Indirect evidence for altered dopaminergic neurotransmission in very premature‐born adults

Molecular mechanisms underlying resting-state brain functional correlates of behavioral inhibition


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


User Simulation for Task-Completion Dialogues

Deep Reinforcement Learning: An Overview

End-to-End Task-Completion Neural Dialogue Systems

Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access

BBQ-Networks: Efficient Exploration in Deep Reinforcement Learning for Task-Oriented Dialogue Systems

A User Simulator for Task-Completion Dialogues

Deep Reinforcement Learning

Self-Supervised Dialogue Learning

Goal-oriented Dialogue Policy Learning from Failures

User Simulation for Evaluating Information Access Systems

State of the Art of User Simulation approaches for conversational
  information retrieval


Implementation of the Gromov-Wasserstein distance to the setting of Unbalanced Optimal Transport

Partial Optimal Transport with Applications on Positive-Unlabeled Learning

The Unbalanced Gromov Wasserstein Distance: Conic Formulation and Relaxation


Coreference Resolution With Entity Equalization

Higher-order Coreference Resolution with Coarse-to-fine Inference

Coreference Resolution with Entity Equalization

Meeting of the Association for Computational Linguistics

Coreference Resolution Using Neural MCDM and Fuzzy Weighting Technique

The International journal of computational intelligence systems/International journal of computational intelligence systems


A versatile, fully open-source pipeline to extract phenotypic measurements from plant images

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

ARADEEPOPSIS, an Automated Workflow for Top-View Plant Phenomics using Semantic Segmentation of Leaf States

aradeepopsis: From images to phenotypic traits using deep transfer learning


A parallel, open-source geothermal flow simulator


Differentiable predictive control (DPC) policy optimization examples.

Learning Constrained Adaptive Differentiable Predictive Control Policies
  With Guarantees

Learning Stable Adaptive Explicit Differentiable Predictive Control for Unknown Linear Systems


PSP-UFU (Power Systems Platform of Federal University of Uberlândia) is a cross-platform, multilingual, Free and Open-Source Software with advanced GUI features and CAD tools for electrical power system studies.


Implementation of the Off Belief Learning algorithm.

Improving Policies via Search in Cooperative Partially Observable Games

Off-Belief Learning

Scalable Online Planning via Reinforcement Learning Fine-Tuning


Tensorflow 2 source code for the PI-SAC agent from "Predictive Information Accelerates Learning in RL" (NeurIPS 2020)

DeepMind Control Suite

Learning Representations for Pixel-based Control: What Matters and Why?

Differentiable Architecture Search for Reinforcement Learning


Project Asuna is a scalable, brand-ready, and open-source building management system. Built for research!

A new approach of moving average method in time series analysis

2013 INTERNATIONAL CONFERENCE ON NEW MEDIA STUDIES (CONMEDIA)

SCRUM model for agile methodology

International Conference on Computing, Communication and Automation

Agile Software Development: Methodologies and Trends

International journal of interactive mobile technologies

Coopetition in coworking-spaces: value creation and appropriation tensions in an entrepreneurial space

Adapting the scrum framework for agile project management in science: case study of a distributed research initiative

Solidarity as a byproduct of professional collaboration: Social support and trust in a coworking space

Cataloging GitHub Repositories

International Conference on Evaluation & Assessment in Software Engineering

Agile Scrum Issues at Large-Scale Distributed Projects: Scrum Project Development At Large

Research Anthology on Agile Software, Software Development, and Testing

Priorities of Coworking Space Operation Based on Comparison of the Hosts and Users’ Perspectives

Design computer-assisted learning in an online Augmented Reality environment based on Shneiderman's eight Golden Rules

PROCEEDINGS OF 2017 14TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER SCIENCE AND SOFTWARE ENGINEERING (JCSSE)


(ECCVW 2020) Joint Denoising and SR in Microscopy Imaging

Fully Unsupervised Diversity Denoising with Convolutional Variational Autoencoders

Improving Blind Spot Denoising for Microscopy

W2S: Microscopy Data with Joint Denoising and Super-Resolution for Widefield to SIM Mapping

Joint self-supervised blind denoising and noise estimation


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


CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

CURL: Contrastive Unsupervised Representations for Reinforcement Learning

Debiased Contrastive Learning

SoftGym: Benchmarking Deep Reinforcement Learning for Deformable Object Manipulation

Masked Contrastive Representation Learning for Reinforcement Learning

PlayVirtual: Augmenting Cycle-Consistent Virtual Trajectories for Reinforcement Learning

Value Function Spaces: Skill-Centric State Abstractions for Long-Horizon
  Reasoning

Learning Representations for Pixel-based Control: What Matters and Why?

Improving Computational Efficiency in Visual Reinforcement Learning via Stored Embeddings

Frustratingly Easy Regularization on Representation Can Boost Deep Reinforcement Learning

Tackling Visual Control via Multi-View Exploration Maximization


Stochastic Time-Inverted Lagrangian Transport model

Strong methane point sources contribute a disproportionate fraction of total emissions across multiple basins in the United States

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


A light RINA implementation. Documentation is available in REAME.md (see below).

A P4-Enabled RINA Interior Router for Software-Defined Data Centers

Learning to Find Usages of Library Functions in Optimized Binaries

IEEE transactions on software engineering

Addressing Bandwidth-Driven Flow Allocationin RINA


Database with information about Nuclear Power Plants worldwide.


An event-based tool for analyzing and quantifying calcium or neurotransmitter imaging data

Accurate quantification of astrocyte and neurotransmitter fluorescence dynamics for single-cell and population-level physiology

Dopamine Activates Astrocytes in Prefrontal Cortex via α1-Adrenergic Receptors

Microglia sense astrocyte dysfunction and prevent disease progression in an Alexander disease model

Calcium Signaling in the Cerebellar Radial Glia and Its Association with Morphological Changes during Zebrafish Development

International journal of molecular sciences

Synaptic-like transmission between neural axons and arteriolar smooth muscle cells drives cerebral neurovascular coupling


Pre-trained models and language resources for Natural Language Processing in Polish

Combining neural and knowledge-based approaches to Named Entity Recognition in Polish

Evaluation of Sentence Representations in Polish

Sentiment Analysis with Contextual Embeddings and Self-Attention

Hybrid retrievers with generative re-rankers

Conference on Computer Science and Information Systems


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

Decoding Movement From Electrocorticographic Activity: A Review

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

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

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

Decoding P300 Variability Using Convolutional Neural Networks

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

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


1D synchrosqueezed wave packet transforms (SSWPT):    Analyzing instantaneous properties (instantaneous frequencies, phases and amplitudes) of non-linear oscillatory signals in a superposition. 2D synchrosqueezed curvelet transform (SSCT):     Anlayzing local properties of non-linear oscillatory textures in a superposition.

Recursive Diffeomorphism-Based Regression for Shape Functions

Multiresolution mode decomposition for adaptive time series analysis

A Fast Algorithm for Multiresolution Mode Decomposition


Cold Brew: Distilling Graph Node Representations with Incomplete or Missing Neighborhoods

OrthoReg: Improving Graph-regularized MLPs via Orthogonality
  Regularization

You Only Transfer What You Share: Intersection-Induced Graph Transfer
  Learning for Link Prediction

GraphPatcher: Mitigating Degree Bias for Graph Neural Networks via
  Test-time Augmentation


source code for signed graph attention networks (ICANN2019) & SDGNN (AAAI2021)

Signed Graph Attention Networks

Learning Signed Network Embedding via Graph Attention

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

SDGNN: Learning Node Representation for Signed Directed Networks

PyTorch Geometric Signed Directed: A Software Package on Graph Neural
  Networks for Signed and Directed Graphs

A Graph Convolution for Signed Directed Graphs


Generative Flow Networks

Flow Network based Generative Models for Non-Iterative Diverse Candidate Generation

Trajectory balance: Improved credit assignment in GFlowNets

Learning GFlowNets from partial episodes for improved convergence and
  stability

Better Training of GFlowNets with Local Credit and Incomplete
  Trajectories

Generative Augmented Flow Networks

Stochastic Generative Flow Networks

Pre-Training and Fine-Tuning Generative Flow Networks


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


PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models

Large Scale Qualitative Evaluation of Generative Image Model Outputs

Mining the manifolds of deep generative models for multiple
  data-consistent solutions of ill-posed tomographic imaging problems

Benchmarking the Fairness of Image Upsampling Methods


Tools for improving the sensitivity and specificity of genome alignments

Computational methods to detect conserved non-genic elements in phylogenetically isolated genomes: application to zebrafish

Increased alignment sensitivity improves the usage of genome alignments for comparative gene annotation

RepeatFiller newly identifies megabases of aligning repetitive sequences and improves annotations of conserved non-exonic elements


SNP Pipeline is a pipeline for the production of SNP matrices from sequence data used in the phylogenetic analysis of pathogenic organisms sequenced from samples of interest to food safety.

CFSAN SNP Pipeline: an automated method for constructing SNP matrices from next-generation sequence data

NASP: an accurate, rapid method for the identification of SNPs in WGS datasets that supports flexible input and output formats.

Next generation microbiological risk assessment: opportunities of whole genome sequencing (WGS) for foodborne pathogen surveillance, source tracking and risk assessment

Whole Genome Sequence Analysis Using JSpecies Tool Establishes Clonal Relationships between Listeria monocytogenes Strains from Epidemiologically Unrelated Listeriosis Outbreaks

Temporal Dynamics of Salmonella enterica subsp. enterica Serovar Agona Isolates From a Recurrent Multistate Outbreak


NTIRE 2019 submission repository

Perceptual Losses for Real-Time Style Transfer and Super-Resolution

Dense Haze: A benchmark for image dehazing with dense-haze and haze-free images

Feature Forwarding for Efficient Single Image Dehazing


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


Data-driven dynamical systems toolbox.

Modern Koopman Theory for Dynamical Systems

Data-driven approximation of the Koopman generator: Model reduction, system identification, and control

Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces

Deeptime: a Python library for machine learning dynamical models from time series data

Kernel-Based Approximation of the Koopman Generator and Schrödinger Operator

Symmetric and antisymmetric kernels for machine learning problems in quantum physics and chemistry

Tensor-based computation of metastable and coherent sets

Learning the Koopman Eigendecomposition: A Diffeomorphic Approach

Koopman-based spectral clustering of directed and time-evolving graphs


This repository is the official PyTorch implementation of URSCT-SESR: Reinforced Swin-Convs Transformer for Simultaneous Underwater Sensing Scene Image Enhancement and Super-resolution.

Simultaneous Enhancement and Super-Resolution of Underwater Imagery for Improved Visual Perception

U-shape Transformer for Underwater Image Enhancement

IEEE transactions on geoscience and remote sensing

Reinforced Swin-Convs Transformer for Underwater Image Enhancement


Repository for theory and methods for Out-of-Distribution (OoD) generalization

Invariant Risk Minimization Games

Empirical or Invariant Risk Minimization? A Sample Complexity Perspective

Linear Regression Games: Convergence Guarantees to Approximate Out-of-Distribution Solutions

Treatment Effect Estimation using Invariant Risk Minimization


GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020

Graph Self-Supervised Learning: A Survey

A Comprehensive Survey on Pretrained Foundation Models: A History from
  BERT to ChatGPT

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive

Domain Adaptive Graph Infomax via Conditional Adversarial Networks

IEEE transactions on network science and engineering

Data Augmentation on Graphs: A Technical Survey

State of the Art and Potentialities of Graph-level Learning

GraphControl: Adding Conditional Control to Universal Graph Pre-trained
  Models for Graph Domain Transfer Learning

Spatial Autoregressive Coding for Graph Neural Recommendation

Spectral Augmentations for Graph Contrastive Learning


Common PHP webshells you might need for your Penetration Testing assignments or CTF challenges. Do not host the file(s) on your server!

WebShell Attack Detection Based on a Deep Super Learner

A Web Shell Detection Method Based on Multiview Feature Fusion

WTA: A Static Taint Analysis Framework for PHP Webshell

Research on WebShell Detection Method Based on Regularized Neighborhood Component Analysis (RNCA)


methods for functional summary-based imputation

Transcriptome-wide association study identifies new susceptibility genes and pathways for depression

Transcriptomic and proteomic retinal pigment epithelium signatures of age-related macular degeneration

Association Between Brain Structure and Alcohol Use Behaviors in Adults

Genome-wide association meta-analysis of spontaneous coronary artery dissection identifies risk variants and genes related to artery integrity and tissue-mediated coagulation

Regulatory controls of duplicated gene expression during fiber development in allotetraploid cotton

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

Novel insight into the etiology of ischemic stroke gained by integrative multiome-wide association study

medRxiv : the preprint server for health sciences

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


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


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

Matrix product states and the non-Abelian rotor model

Quantum phases of a chain of strongly interacting anyons

Physical review. B, Condensed matter and materials physics

A Monte Carlo Time-Dependent Variational Principle

Zn 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

Microscopic models for fusion categories


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

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

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

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


Tensorflow Implementation of R-Net

Attention Is All You Need

SQuAD: 100,000+ Questions for Machine Comprehension of Text

A Theoretically Grounded Application of Dropout in Recurrent Neural Networks

Machine Comprehension Using Match-LSTM and Answer Pointer

SberQuAD - Russian Reading Comprehension Dataset: Description and Analysis

Difficulty Controllable Generation of Reading Comprehension Questions

Difficulty Controllable Question Generation for Reading Comprehension.

Comparative Analysis of Neural QA models on SQuAD

MemoReader: Large-Scale Reading Comprehension through Neural Memory Controller

Empirical Methods in Natural Language Processing

Towards Inference-Oriented Reading Comprehension: ParallelQA


Code accompanying our NeurIPS 2022 traffic4cast challenge

Transposed Variational Auto-encoder with Intrinsic Feature Learning for
  Traffic Forecasting

Hierarchical Graph Structures for Congestion and ETA Prediction

Traffic4cast at NeurIPS 2022 -- Predict Dynamics along Graph Edges from
  Sparse Node Data: Whole City Traffic and ETA from Stationary Vehicle
  Detectors

Multi-task Learning for Sparse Traffic Forecasting


Python port of B. Kelly's LINMIX_ERR IDL package

Compact Disks in a High-resolution ALMA Survey of Dust Structures in the Taurus Molecular Cloud

Evidence for a correlation between mass accretion rates onto young stars and the mass of their protoplanetary disks

Spectral Properties of Quasars from Sloan Digital Sky Survey Data Release 14: The Catalog

The Astrophysical journal. Supplement series/Astrophysical journal. Supplement series

Physical properties of dusty protoplanetary disks in Lupus: evidence for viscous evolution?

CHAOS. III. GAS-PHASE ABUNDANCES IN NGC 5457

Scaling Relations Associated with Millimeter Continuum Sizes in Protoplanetary Disks

An ALMA Survey of CO Isotopologue Emission from Protoplanetary Disks in Chamaeleon I

The ALPINE-ALMA [C II] survey No or weak evolution in the [C II]-SFR relation over the last 13 Gyr

A 40 Billion Solar-mass Black Hole in the Extreme Core of Holm 15A, the Central Galaxy of Abell 85

First Results from SMAUG: Characterization of Multiphase Galactic Outflows from a Suite of Local Star-forming Galactic Disk Simulations


A pytorch implementation of He et al. "Neural Collaborative Filtering" at WWW'17

Neural Collaborative Filtering

Modeling Online Behavior in Recommender Systems: The Importance of Temporal Context

Rethinking Collaborative Metric Learning: Toward an Efficient Alternative Without Negative Sampling

IEEE transactions on pattern analysis and machine intelligence

The Minority Matters: A Diversity-Promoting Collaborative Metric
  Learning Algorithm


CNS (Computational Neuroscience) Lab project for age/sex classification of fMRI scans

Spatio-Temporal Graph Convolution for Resting-State fMRI Analysis

Learning Dynamic Graph Representation of Brain Connectome with Spatio-Temporal Attention

DynDepNet: Learning Time-Varying Dependency Structures from fMRI Data
  via Dynamic Graph Structure Learning


Shared BERT model for 4 languages of Bulgarian, Czech, Polish and Russian. Slavic NER model.

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

Tuning Multilingual Transformers for Language-Specific Named Entity Recognition

Meeting of the Association for Computational Linguistics

Tuning Multilingual Transformers for Named Entity Recognition on Slavic Languages

7TH WORKSHOP ON BALTO-SLAVIC NATURAL LANGUAGE PROCESSING (BSNLP'2019)

Pre-training Polish Transformer-based Language Models at Scale

Transfer Learning for Czech Historical Named Entity Recognition

Recent Advances in Natural Language Processing


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

Assessment of Massively Multilingual Sentiment Classifiers


Table structure recognition dataset of the paper: Complicated Table Structure Recognition

Image-based table recognition: data, model, and evaluation

Complicated Table Structure Recognition

Current Status and Performance Analysis of Table Recognition in Document Images With Deep Neural Networks

GFTE: Graph-based Financial Table Extraction

Deep learning for table detection and structure recognition: A survey

Business Document Information Extraction: Towards Practical Benchmarks


Graph Pattern Matching in GQL and SQL/PGQ

Work-Efficient Query Evaluation with PRAMs

Conjunctive Queries for Logic-Based Information Extraction


A repository of pretty cool datasets that I collected for network science and machine learning research.

Karate Club: An API Oriented Open-source Python Framework for
  Unsupervised Learning on Graphs

Twitch Gamers: a Dataset for Evaluating Proximity Preserving and Structural Role-based Node Embeddings


Scripts for analysis used during the course

Polygenic adaptation from standing genetic variation allows rapid ecotype formation

Molecular Signatures of Reticulate Evolution within the Complex of European Pine Taxa

Whole-genome Analyses Reveal Past Population Fluctuations and Low Genetic Diversities of the North Pacific Albatrosses


Density estimation using Gaussian mixtures in the presence of noisy, heterogeneous and incomplete data

EXPLORING ANTICORRELATIONS AND LIGHT ELEMENT VARIATIONS IN NORTHERN GLOBULAR CLUSTERS OBSERVED BY THE APOGEE SURVEY

Characterization and photometric performance of the Hyper Suprime-Cam Software Pipeline

Publications of the Astronomical Society of Japan

Evidence for a Vast Prograde Stellar Stream in the Solar Vicinity

CLEAR EVIDENCE FOR THE PRESENCE OF SECOND-GENERATION ASYMPTOTIC GIANT BRANCH STARS IN METAL-POOR GALACTIC GLOBULAR CLUSTERS

EmpiriciSN: Re-sampling Observed Supernova/Host Galaxy Populations Using an XD Gaussian Mixture Model

Young open cluster IC 4996 and its vicinity: multicolor photometry and Gaia DR2 astrometry

Mixture Models in Astronomy

Tracing the Origin of Moving Groups. III. Detecting Moving Groups in LAMOST DR7

Predicting the accuracy of asteroid size estimation with data from the Rubin Observatory Legacy Survey of Space and Time

Paving the way forEuclid and JWST via probabilistic selection of high-redshift quasars


R toolkit for inference, visualization and analysis of cell-cell communication from single-cell data

Inference and analysis of cell-cell communication using CellChat

A New Gene Set Identifies Senescent Cells and Predicts Senescence-Associated Pathways Across Tissues

Effects of sex and aging on the immune cell landscape as assessed by single-cell transcriptomic analysis

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

Deciphering the endometrial niche of human thin endometrium at single-cell resolution

Context-aware deconvolution of cell-cell communication with Tensor-cell2cell

A human cell atlas of the pressure-induced hypertrophic heart

Dissecting peri-implantation development using cultured human embryos and embryo-like assembloids

Establishment of a reference single-cell RNA sequencing dataset for human pancreatic adenocarcinoma

TAS-Seq is a robust and sensitive amplification method for bead-based scRNA-seq

Single-Cell RNA Sequencing Reveals the Migration of Osteoclasts in Giant Cell Tumor of Bone


[IROS'22] MMFN: Multi-Modal Fusion Net for End-to-End Autonomous Driving

Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

Label Efficient Visual Abstractions for Autonomous Driving

MMFN: Multi-Modal-Fusion-Net for End-to-End Driving


A WEKA package for analyzing emotion and sentiment of tweets.

WASSA-2017 Shared Task on Emotion Intensity

Emotion Intensities in Tweets

THU_NGN at SemEval-2018 Task 3: Tweet Irony Detection with Densely connected LSTM and Multi-task Learning

North American Chapter of the Association for Computational Linguistics

Prayas at EmoInt 2017: An Ensemble of Deep Neural Architectures for Emotion Intensity Prediction in Tweets

THU_NGN at SemEval-2018 Task 1: Fine-grained Tweet Sentiment Intensity Analysis with Attention CNN-LSTM

THU_NGN at SemEval-2018 Task 2: Residual CNN-LSTM Network with Attention for English Emoji Prediction

KEIS@JUST at SemEval-2020 Task 12: Identifying Multilingual Offensive
  Tweets Using Weighted Ensemble and Fine-Tuned BERT

How emotional are you? Neural Architectures for Emotion Intensity Prediction in Microblogs

International Conference on Computational Linguistics


Quickstart for EURO Meets NeurIPS 2022 Vehicle Routing Competition

Attention, Learn to Solve Routing Problems!

Hybrid Genetic Search for the CVRP: Open-Source Implementation and SWAP* Neighborhood

Deep Policy Dynamic Programming for Vehicle Routing Problems

PILS: Exploring high-order neighborhoods by pattern mining and injection

Combinatorial Optimization-Enriched Machine Learning to Solve the Dynamic Vehicle Routing Problem with Time Windows


Data for "Datamodels: Predicting Predictions with Training Data"

Datamodels: Predicting Predictions from Training Data


A toolbox for comparative genomics.

Genomic characterization of the uncultured Bacteroidales family S24-7 inhabiting the guts of homeothermic animals

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

SqueezeMeta, A Highly Portable, Fully Automatic Metagenomic Analysis Pipeline

Phylogenomic Analysis of the Gammaproteobacterial Methanotrophs (Order Methylococcales) Calls for the Reclassification of Members at the Genus and Species Levels

Assembly of hundreds of novel bacterial genomes from the chicken caecum

Methanotrophy across a natural permafrost thaw environment

Comparative Genomics of Candidate Phylum TM6 Suggests That Parasitism Is Widespread and Ancestral in This Lineage

Comparative genomics reveals electron transfer and syntrophic mechanisms differentiating methanotrophic and methanogenic archaea

Divergent methyl-coenzyme M reductase genes in a deep-subseafloor Archaeoglobi

New Biological Insights Into How Deforestation in Amazonia Affects Soil Microbial Communities Using Metagenomics and Metagenome-Assembled Genomes


Unsupervised Domain Adaptation for Computer Vision Tasks

FairMOT: On the Fairness of Detection and Re-identification in Multiple Object Tracking

MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation

ToAlign: Task-oriented Alignment for Unsupervised Domain Adaptation


Code for RL experiments in "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

Benchmarking Deep Reinforcement Learning for Continuous Control

Unsupervised Meta-Learning for Reinforcement Learning

Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning

A Model-based Approach for Sample-efficient Multi-task Reinforcement
  Learning

Model-Agnostic Meta-Learning using Runge-Kutta Methods


[ECCV-2020-oral]-Semantic Flow for Fast and Accurate Scene Parsing

Towards Efficient Scene Understanding via Squeeze Reasoning

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

Sfnet: Faster and Accurate Semantic Segmentation Via Semantic Flow


An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

BBTv2: Towards a Gradient-Free Future with Large Language Models

PANDA: Prompt Transfer Meets Knowledge Distillation for Efficient Model
  Adaptation

Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers

Y
-Tuning: an efficient tuning paradigm for large-scale pre-trained models via label representation learning

Prefix Propagation: Parameter-Efficient Tuning for Long Sequences

Dynamic Prompting: A Unified Framework for Prompt Tuning

Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning


Estimating Effective Migration Surfaces

The genomic history of southeastern Europe

Visualizing spatial population structure with estimated effective migration surfaces

Interactions between earliest Linearbandkeramik farmers and central European hunter gatherers at the dawn of European Neolithization

Y chromosomal evidence on the origin of northern Thai people

Implications of Historical and Contemporary Processes on Genetic Differentiation of a Declining Boreal Songbird: The Rusty Blackbird

Contrasting genetic trajectories of endangered and expanding red fox populations in the western U.S

Location and Species Matters: Variable Influence of the Environment on the Gene Flow of Imperiled, Native and Invasive Cottontails

Genomic clines across the species boundary between a hybrid pine and its progenitor in the eastern Tibetan Plateau

Protocol to analyze population structure and migration history based on human genome variation data


Code for SIMMC 2.0: A Task-oriented Dialog Dataset for Immersive Multimodal Conversations

Situated and Interactive Multimodal Conversations


Sandbox for training deep learning networks

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

U-Net: Convolutional Networks for Biomedical Image Segmentation

Fully Convolutional Networks for Semantic Segmentation

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

Densely Connected Convolutional Networks

Squeeze-and-Excitation Networks

Rethinking the Inception Architecture for Computer Vision

MobileNetV2: Inverted Residuals and Linear Bottlenecks

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications


The INTERSPEECH 2021 Computational Paralinguistics Challenge: COVID-19 Cough, COVID-19 Speech, Escalation & Primates

End2You -- The Imperial Toolkit for Multimodal Profiling by End-to-End Learning

Continuous-Time Audiovisual Fusion with Recurrence vs. Attention for In-The-Wild Affect Recognition


Truly Conversational Search is the next logic step in the journey to generate intelligent and useful AI. To understand what this may mean, researchers have voiced a continuous desire to study how people currently converse with search engines. Traditionally, the desire to produce such a comprehensive dataset has been limited because those who have this data (Search Engines) have a responsibility to their users to maintain their privacy and cannot share the data publicly in a way that upholds the trusts users have in the Search Engines. Given these two powerful forces we believe we have a dataset and paradigm that meets both sets of needs: A artificial public dataset that approximates the true data and an ability to evaluate model performance on the real user behavior. What this means is we released a public dataset which is generated by creating artificial sessions using embedding similarity and will test on the original data. To say this again: we are not releasing any private user data but are releasing what we believe to be a good representation of true user interactions.

MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Few-Shot Generative Conversational Query Rewriting

TREC CAsT 2019: The Conversational Assistance Track Overview

Multi-Stage Conversational Passage Retrieval: An Approach to Fusing Term Importance Estimation and Neural Query Rewriting

Query Reformulation using Query History for Passage Retrieval in Conversational Search

Contrastive Multi-document Question Generation

Enhancing User Behavior Sequence Modeling by Generative Tasks for Session Search

Proceedings of the 31st ACM International Conference on Information & Knowledge Management


pip install antialiased-cnns to improve stability and accuracy

Making Convolutional Networks Shift-Invariant Again

Measuring Robustness to Natural Distribution Shifts in Image Classification

Increasing the robustness of DNNs against image corruptions by playing the Game of Noise

Investigating Shift Equivalence of Convolutional Neural Networks in Industrial Defect Segmentation


Scripts to preprocess training and test data and to run fast_align and giza

Attention is Not Only a Weight: Analyzing Transformers with Vector Norms

Saliency-driven Word Alignment Interpretation for Neural Machine Translation

Alignment-Enhanced Transformer for Constraining NMT with Pre-Specified Translations

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

A Supervised Word Alignment Method based on Cross-Language Span Prediction using Multilingual BERT

Mask-Align: Self-Supervised Neural Word Alignment

Towards Opening the Black Box of Neural Machine Translation: Source and Target Interpretations of the Transformer

A Bidirectional Transformer Based Alignment Model for Unsupervised Word Alignment

PENELOPIE: Enabling Open Information Extraction for the Greek Language through Machine Translation

SLUA: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning.

MirrorAlign: A Super Lightweight Unsupervised Word Alignment Model via Cross-Lingual Contrastive Learning


Benchmarking Deep Reinforcement Learning for Continuous Control

Imitating Driver Behavior with Generative Adversarial Networks

Learning Temporal Strategic Relationships using Generative Adversarial Imitation Learning


An extractive neural network text summarization library for the EMNLP 2018 paper "Content Selection in Deep Learning Models of Summarization" (https://arxiv.org/abs/1810.12343).

SummaRuNNer: A Recurrent Neural Network Based Sequence Model for Extractive Summarization of Documents

Extractive Summarization of Long Documents by Combining Global and Local Context

Dialogue Discourse-Aware Graph Model and Data Augmentation for Meeting Summarization

Pre-training and Evaluating Transformer-based Language Models for Icelandic

IceSum: An Icelandic Text Summarization Corpus

Summarization Beyond News: The Automatically Acquired Fandom Corpora

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


Identifying viruses from metagenomic data by deep learning

Identifying viruses from metagenomic data using deep learning

Unraveling the functional dark matter through global metagenomics

Distribution Characteristics of Soil Viruses Under Different Precipitation Gradients on the Qinghai-Tibet Plateau

Bioinformatic Tools for NGS-Based Metagenomics to Improve the Clinical Diagnosis of Emerging, Re-Emerging and New Viruses

Current trends in RNA virus detection through metatranscriptome sequencing data


Large Deformation Diffeomorphic Image Registration with Laplacian Pyramid Networks

Conditional Deformable Image Registration with Convolutional Neural Network

Spatially Covariant Image Registration with Text Prompts

: Approximate Diffeomorphisms via Gradient Inverse Consistency

ORRN: An ODE-Based Recursive Registration Network for Deformable Respiratory Motion Estimation With Lung 4DCT Images


An implementation of Concrete Autoencoders

Concrete Autoencoders for Differentiable Feature Selection and Reconstruction

Differentiable Unsupervised Feature Selection based on a Gated Laplacian

Deep Unsupervised Feature Selection by Discarding Nuisance and
  Correlated Features

Where to Pay Attention in Sparse Training for Feature Selection?

Composite Feature Selection using Deep Ensembles


Gotree is a set of command line tools and an API to manipulate phylogenetic trees. It is implemented in Go language.

Renewing Felsenstein’s phylogenetic bootstrap in the era of big data

Emergence of immune escape at dominant SARS-CoV-2 killer T cell epitope

Gotree/Goalign: toolkit and Go API to facilitate the development of phylogenetic workflows

The OceanDNA MAG catalog contains over 50,000 prokaryotic genomes originated from various marine environments

Phylogeny of the Varidnaviria Morphogenesis Module: Congruence and Incongruence With the Tree of Life and Viral Taxonomy

Advances in Visualization Tools for Phylogenomic and Phylodynamic Studies of Viral Diseases

A genome-scale phylogeny of Fungi; insights into early evolution, radiations, and the relationship between taxonomy and phylogeny

A Barcode-Based Phylogenetic Characterization of Phytophthora cactorum Identifies Two Cosmopolitan Lineages with Distinct Host Affinities and the First Report of Phytophthora pseudotsugae in California

Cuban history of CRF19 recombinant subtype of HIV-1

Simulation data for the estimation of numerical constants for approximating pairwise evolutionary distances between amino acid sequences


Unofficial Pytorch Implementation of WaveGrad2

Denoising Diffusion Probabilistic Models

WaveGrad: Estimating Gradients for Waveform Generation

Non-Attentive Tacotron: Robust and Controllable Neural TTS Synthesis Including Unsupervised Duration Modeling

WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis


Modelling the Language of Life - Deep Learning Protein Sequences

Modeling aspects of the language of life through transfer-learning protein sequences

Pre-trained Language Models in Biomedical Domain: A Systematic Survey

Modeling the language of life – Deep Learning Protein Sequences


ImageNet Testbed, associated with the paper "Measuring Robustness to Natural Distribution Shifts in Image Classification."

Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization

Optimal Representations for Covariate Shift

ImageNet-Patch: A Dataset for Benchmarking Machine Learning Robustness
  against Adversarial Patches


GraphMAE2: A Decoding-Enhanced Masked Self-Supervised Graph Learner in WWW'23

GraphSAINT: Graph Sampling Based Inductive Learning Method

GraphMAE: Self-Supervised Masked Graph Autoencoders


Small utilities for working with fastq sequence files.

Small-RNA-mediated transgenerational silencing of histone genes impairs fertility in piRNA mutants

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

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

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

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


Probabilistic Random Forest: A machine learning algorithm for noisy datasets

Probabilistic Random Forest: A Machine Learning Algorithm for Noisy Data Sets

Machine Learning in Astronomy: a practical overview

The probabilistic random forest applied to the selection of quasar candidates in the QUBRICS survey

Monthly notices of the Royal Astronomical Society

UOCS – III. UVIT catalogue of open clusters with machine learning-based membership using Gaia EDR3 astrometry

Monthly Notices of the Royal Astronomical Society

A new automated tool for the spectral classification of OB stars


Retrofitting Word Vectors to Semantic Lexicons

Shakespearizing Modern Language Using Copy-Enriched Sequence to Sequence Models

Dict2vec : Learning Word Embeddings using Lexical Dictionaries

Empirical Methods in Natural Language Processing

Joint Word Representation Learning using a Corpus and a Semantic Lexicon

Learning Word Representations with Regularization from Prior Knowledge

Conference on Computational Natural Language Learning

Aff2Vec: Affect--Enriched Distributional Word Representations

Extrofitting: Enriching Word Representation and its Vector Space with Semantic Lexicons

BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine.

Extending WordNet with Fine-Grained Collocational Information via Supervised Distributional Learning

Target Concept Guided Medical Concept Normalization in Noisy User-Generated Texts

Workshop on Knowledge Extraction and Integration for Deep Learning Architectures; Deep Learning Inside Out


Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)

Theoretically Principled Trade-off between Robustness and Accuracy

Bag of Tricks for Adversarial Training

Curriculum Adversarial Training

A2: Efficient Automated Attacker for Boosting Adversarial Training

Calibrated Adversarial Training

Advancing Adversarial Training by Injecting Booster Signal

IEEE transactions on neural networks and learning systems


This repository implements our ACL Findings 2022 research paper RelationPrompt: Leveraging Prompts to Generate Synthetic Data for Zero-Shot Relation Triplet Extraction. The goal of Zero-Shot Relation Triplet Extraction (ZeroRTE) is to extract relation triplets of the format (head entity, tail entity, relation), despite not having annotated data for the test relation labels.

Schema-aware Reference as Prompt Improves Data-Efficient Knowledge Graph Construction


Fine-tuning StyleGAN2 for Cartoon Face Generation

StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery

Closed-Form Factorization of Latent Semantics in GANs

Resolution Dependent GAN Interpolation for Controllable Image Synthesis Between Domains

Fine-Tuning StyleGAN2 For Cartoon Face Generation


UniTable: Towards a Unified Table Foundation Model

High-Performance Transformers for Table Structure Recognition Need Early
  Convolutions


Maximum Entropy Modeling Toolkit for Python and C++

Geolocation Prediction in Social Media Data by Finding Location Indicative Words

Automatic Aggregation by Joint Modeling of Aspects and Values

Journal of artificial intelligence research/The journal of artificial intelligence research

A technology prototype system for rating therapist empathy from audio recordings in addiction counseling

The DCU Discourse Parser for Connective, Argument Identification and Explicit Sense Classification

A Maximum Entropy Approach to Chinese Spelling Check

NAIST at the HOO 2012 Shared Task


A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR

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

A fast, complete, point cloud based loop closure for LiDAR odometry and mapping

Real-Time Localization and Colorful Three-Dimensional Mapping of Orchards Based on Multi-Sensor Fusion Using Extended Kalman Filter


CKIP Transformers

CxLM: A Construction and Context-aware Language Model

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION


In-Memory Subgraph Matching: An In-depth Study by Dr. Shixuan Sun and Prof. Qiong Luo

SIGMOD'20: PROCEEDINGS OF THE 2020 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Speeding Up Set Intersections in Graph Algorithms using SIMD Instructions

SIGMOD'18: PROCEEDINGS OF THE 2018 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Reinforcement Learning Based Query Vertex Ordering Model for Subgraph Matching

GuP: Fast Subgraph Matching by Guard-based Pruning

Proceedings of the ACM on management of data

HGMatch: A Match-by-Hyperedge Approach for Subgraph Matching on
  Hypergraphs


A platform that lets you build agents to learn to play StarCraft: Brood War.

SMACv2: An Improved Benchmark for Cooperative Multi-Agent Reinforcement
  Learning

Growing Action Spaces

A Structured Prediction Approach for Generalization in Cooperative Multi-Agent Reinforcement Learning


Java package that provides data structures and algorithms for network analysis.

From Louvain to Leiden: guaranteeing well-connected communities

The association between topic growth and citation impact of research publications

Center–periphery structure in research communities

Improving overlay maps of science: Combining overview and detail

Robustness of community structure under edge addition


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


Test genes for Spatial Variation

Visualization and analysis of gene expression in tissue sections by spatial transcriptomics

SpatialDE: identification of spatially variable genes

Clinical and translational values of spatial transcriptomics

Signal transduction and targeted therapy

Spatial omics: Navigating to the golden era of cancer research

Analysis and Visualization of Spatial Transcriptomic Data

Deep Learning in Single-Cell Analysis

Computational elucidation of spatial gene expression variation from spatially resolved transcriptomics data

SINFONIA: Scalable Identification of Spatially Variable Genes for Deciphering Spatial Domains


Bridging deep learning and logical reasoning using a differentiable satisfiability solver.

SATNet: Bridging deep learning and logical reasoning using a differentiable satisfiability solver

Techniques for Symbol Grounding with SATNet

Refining neural network predictions using background knowledge

Learning to Solve Constraint Satisfaction Problems with Recurrent
  Transformer


A car detection model implemented in Tensorflow.

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

Disentangling Monocular 3D Object Detection

Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing

RGB Cameras Failures and Their Effects in Autonomous Driving Applications


Genome-Wide Identification and Characterization of FBA Gene Family in Polyploid Crop Brassica napus

International journal of molecular sciences

Comparative Analysis of Tylosema esculentum Mitochondrial DNA Revealed Two Distinct Genome Structures

Genome-wide characterization of ubiquitin-conjugating enzyme gene family explores its genetic effects on the oil content and yield of Brassica napus


Collection of tools for building diachronic/historical word vectors

Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change

Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models

The Eurocentric Fallacy. A Digital-Historical Approach to the Concepts of ‘Modernity’, ‘Civilization’ and ‘Europe’ (1840–1990)

International Journal for History, Culture and Modernity

Changes in the midst of a construction network: a diachronic construction grammar approach to complex prepositions denoting internal location

US News and Social Media Framing around Vaping

Collecting Tweets to Investigate Regional Variation in Canadian English


Hierarchical Dirichlet processes. Topic models where the data determine the number of topics. This implements Gibbs sampling.

Anomaly detection in video with Bayesian nonparametrics

Word and Document Embedding with vMF-Mixture Priors on Context Word Vectors

Meeting of the Association for Computational Linguistics

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

Dynamic Hierarchical Dirichlet Process for Abnormal Behaviour Detection in Video

TopicModel4J: A Java Package for Topic Models

Analyses of Multi-collection Corpora via Compound Topic Modeling


Full Python implementation of the ROUGE metric, producing same results as in the official perl implementation.

Countering the Effects of Lead Bias in News Summarization via Multi-Stage Training and Auxiliary Losses

Unsupervised Aspect-Based Multi-Document Abstractive Summarization

Proceedings of the 2nd Workshop on New Frontiers in Summarization

DebateSum: A large-scale argument mining and summarization dataset

Autoregressive Knowledge Distillation through Imitation Learning

DialSummEval: Revisiting Summarization Evaluation for Dialogues

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

Comparative Opinion Summarization via Collaborative Decoding

A comprehensive review of automatic text summarization techniques: method, data, evaluation and coding

Less is More for Long Document Summary Evaluation by LLMs

A Summarization Dataset of Slovak News Articles

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

Dependency-based Text Graphs for Keyphrase and Summary Extraction with
  Applications to Interactive Content Retrieval


The official repo of NBC & SpatialNet for multichannel speech separation, denoising, and dereverberation

Multi-channel Narrow-band Deep Speech Separation with Full-band
  Permutation Invariant Training

Multichannel Speech Separation with Narrow-band Conformer

SpatialNet: Extensively Learning Spatial Information for Multichannel
  Joint Speech Separation, Denoising and Dereverberation

Multichannel Long-Term Streaming Neural Speech Enhancement for Static and Moving Speakers


Multi-modal temporal attention models for crop mapping from satellite time series

ViTs for SITS: Vision Transformers for Satellite Image Time Series


A set of tools for manipulating and doing calculations on wwPDB macromolecule structure files

Multi-state design of flexible proteins predicts sequences optimal for conformational change

Prediction of Contact Residues in Anti-HIV Neutralizing Antibody by Deep Learning

Conserved and divergent chaperoning effects of Hsp60/10 chaperonins on protein folding landscapes

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


official code repo for paper "CogView2: Faster and Better Text-to-Image Generation via Hierarchical Transformers"

CogView: Mastering Text-to-Image Generation via Transformers

Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation

Auditing Gender Presentation Differences in Text-to-Image Models


Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

AutoAugment: Learning Augmentation Policies from Data

Unlabeled Data Improves Adversarial Robustness

Decoupled Knowledge Distillation

Relating Adversarially Robust Generalization to Flat Minima

Rethinking the Pruning Criteria for Convolutional Neural Network

Grounding inductive biases in natural images:invariance stems from variations in data

Encoding Robustness to Image Style via Adversarial Feature Perturbations

Random and Adversarial Bit Error Robustness: Energy-Efficient and Secure DNN Accelerators

FROB: Few-shot ROBust Model for Classification and Out-of-Distribution Detection

Transformer Fusion with Optimal Transport


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

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


ROS compatible tool to generate Allan Deviation plots

FusionPortable: A Multi-Sensor Campus-Scene Dataset for Evaluation of Localization and Mapping Accuracy on Diverse Platforms


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

Representation Learning for Dynamic Graphs: A Survey

Empirical Methods in Natural Language Processing

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

Reward Prediction Error as an Exploration Objective in Deep RL


Improving the Transformer translation model with document-level context

Attention Is All You Need

Neural Machine Translation by Jointly Learning to Align and Translate

Improving the Transformer Translation Model with Document-Level Context

THUMT: An Open Source Toolkit for Neural Machine Translation

Can Your Context-Aware MT System Pass the DiP Benchmark Tests? :
  Evaluation Benchmarks for Discourse Phenomena in Machine Translation


An experimental version of the BQ client which adds client-side encryption

SoK: Cryptographically Protected Database Search

Data Inference from Encrypted Databases: A Multi-dimensional Order-Preserving Matching Approach

Secure Parallel Processing of Big Data Using Order-Preserving Encryption
  on Google BigQuery

DiCE -- A Data Encryption Proxy for the Cloud


Real-time pose estimation accelerated with NVIDIA TensorRT

A Deep-Learning Based Posture Detection System for Preventing Telework-Related Musculoskeletal Disorders

An Intelligent Baby Monitor with Automatic Sleeping Posture Detection and Notification

Using Monocular Vision and Human Body Priors for AUVs to Autonomously Approach Divers

CNN Based ToF Image Processing

Proceedings of the Python in Science Conferences


Differentiable convex optimization layers

Differentiable Convex Optimization Layers

Learning Convex Optimization Models

End-to-End Learning and Intervention in Games

Learning with Combinatorial Optimization Layers: a Probabilistic Approach

Differentiating through Log-Log Convex Programs

Wasserstein Distributionally Robust Control Barrier Function using Conditional Value-at-Risk with Differentiable Convex Programming

On the Optimality, Stability, and Feasibility of Control Barrier Functions: An Adaptive Learning-Based Approach


The ultimate list of open data semantic 3D city models

COMBINING VISIBILITY ANALYSIS AND DEEP LEARNING FOR REFINEMENT OF SEMANTIC 3D BUILDING MODELS BY CONFLICT CLASSIFICATION

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences

TUM-FAÇADE: REVIEWING AND ENRICHING POINT CLOUD BENCHMARKS FOR FAÇADE SEGMENTATION

The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

Open-Source Tool for Transforming CityGML Levels of Detail

Scan2LoD3: Reconstructing semantic 3D building models at LoD3 using ray casting and Bayesian networks

Classifying point clouds at the facade-level using geometric features and deep learning networks

Reconstructing facade details using MLS point clouds and Bag-of-Words
  approach


Neural network supported GEV beamformer

Neural network based spectral mask estimation for acoustic beamforming

International Conference on Acoustics, Speech, and Signal Processing

Far-Field Automatic Speech Recognition

Narrow-band Deep Filtering for Multichannel Speech Enhancement

Neural Network-based Virtual Microphone Estimator


A generative latent variable model for biological sequence families.

Deep generative models of genetic variation capture the effects of mutations

Accurate and Definite Mutational Effect Prediction with Lightweight
  Equivariant Graph Neural Networks

Multi-level Protein Representation Learning for Blind Mutational Effect
  Prediction


iNaturalist competition details

Class-Balanced Loss Based on Effective Number of Samples

The iNaturalist Species Classification and Detection Dataset

Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks

Algorithmic fairness datasets: the story so far

Solving Long-tailed Recognition with Deep Realistic Taxonomic Classifier

A linearized framework and a new benchmark for model selection for fine-tuning

CSP: Self-Supervised Contrastive Spatial Pre-Training for
  Geospatial-Visual Representations

Class-Balanced Distillation for Long-Tailed Visual Recognition

Neural Basis Models for Interpretability

First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning


Unsupervised Deep Embedding for Clustering Analysis

Towards K-means-friendly Spaces: Simultaneous Deep Learning and Clustering

Deep Divergence-Based Approach to Clustering

Neural networks : the official journal of the International Neural Network Society

Attentive Representation Learning With Adversarial Training for Short Text Clustering

TC-DWA:Text Clustering with Dual Word-Level Augmentation

Proceedings of the AAAI Conference on Artificial Intelligence


AutoVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

AUTOVC: Zero-Shot Voice Style Transfer with Only Autoencoder Loss

Unsupervised Speech Decomposition via Triple Information Bottleneck

VQVC+: One-Shot Voice Conversion by Vector Quantization and U-Net architecture

A Comparison of Discrete and Soft Speech Units for Improved Voice Conversion

Improving Zero-shot Voice Style Transfer via Disentangled Representation Learning.

NVC-Net: End-to-End Adversarial Voice Conversion

"Hello, It's Me": Deep Learning-based Speech Synthesis Attacks in the Real World

Conference on Computer and Communications Security

How Far Are We from Robust Voice Conversion: A Survey

VoiceGrad: Non-Parallel Any-to-Many Voice Conversion with Annealed Langevin Dynamics.

Retriever: Learning Content-Style Representation as a Token-Level
  Bipartite Graph


Source Codes: Rumor Detection on Twitter with Tree-structured Recursive Neural Networks -- ACL 2018

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

Evaluating the generalisability of neural rumour verification models

Rumor Detection Based on Attention CNN and Time Series of Context Information


Code for ICLR 2019 paper: Learning when to Communicate at Scale in Multiagent Cooperative and Competitive Tasks

Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning

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

Semantics-Empowered Communication: A Tutorial-cum-Survey


Neural Collaborative Filtering

Neural Collaborative Filtering

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Adversarial Personalized Ranking for Recommendation

International ACM SIGIR Conference on Research and Development in Information Retrieval

Neural Collaborative Filtering vs. Matrix Factorization Revisited

CoNet: Collaborative Cross Networks for Cross-Domain Recommendation

Conference on Information and Knowledge Management

Jointly Learning Explainable Rules for Recommendation with Knowledge Graph

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

ACM transactions on office information systems

Sequential Scenario-Specific Meta Learner for Online Recommendation

Attentive Aspect Modeling for Review-Aware Recommendation

Meta Matrix Factorization for Federated Rating Predictions


PyTorch implementation of LeNet-5 with live visualization

No Subclass Left Behind: Fine-Grained Robustness in Coarse-Grained Classification Problems

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

Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling

Fast Adaptation with Linearized Neural Networks

G2R Bound: A Generalization Bound for Supervised Learning from GAN-Synthetic Data