NSGA-Net, a Neural Architecture Search Algorithm

NSGA-Net: Neural Architecture Search using Multi-Objective Genetic Algorithm

NAS evaluation is frustratingly hard

NSGA-NET: A Multi-Objective Genetic Algorithm for Neural Architecture Search.

Multi-Criterion Evolutionary Design of Deep Convolutional Neural Networks.

High frequency accuracy and loss data of random neural networks trained on image datasets

Adversarial Robustness Assessment of NeuroEvolution Approaches


SingleR: Single-cell RNA-seq cell types Recognition (legacy version)

Reference-based analysis of lung single-cell sequencing reveals a transitional profibrotic macrophage

A single-cell and single-nucleus RNA-Seq toolbox for fresh and frozen human tumors

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity

CancerSCEM: a database of single-cell expression map across various human cancers

Analysis and Visualization of Spatial Transcriptomic Data

Single-cell sequencing of ascites fluid illustrates heterogeneity and therapy-induced evolution during gastric cancer peritoneal metastasis

Absence of Batf3 reveals a new dimension of cell state heterogeneity within conventional dendritic cells

Changes in the Gut Microbiome Contribute to the Development of Behcet’s Disease via Adjuvant Effects

Frontiers in cell and developmental biology

Alveolar macrophages in early stage COPD show functional deviations with properties of impaired immune activation

Profiling mouse cochlear cell maturation using 10× Genomics single-cell transcriptomics


Raw nanopore signal mapper that enables real-time targeted sequencing

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

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

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

International journal of molecular sciences

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

Sigmoni: classification of nanopore signal with a compressed pangenome index

bioRxiv : the preprint server for biology


[CVPR 2020] CenterMask : Real-time Anchor-Free Instance Segmentation

CenterMask : Real-Time Anchor-Free Instance Segmentation

LIVECell—A large-scale dataset for label-free live cell segmentation

Polite Teacher: Semi-Supervised Instance Segmentation with Mutual
  Learning and Pseudo-Label Thresholding

SODAR: Exploring Locally Aggregated Learning of Mask Representations for Instance Segmentation


RaMa-Scene a web-platform to analyse Environmentally Extended Input-Output data and generate scenarios


Awesome Neural Adaptation in Natural Language Processing. A curated list. https://arxiv.org/abs/2006.00632

Visual Domain Adaptation: A survey of recent advances

Neural Unsupervised Domain Adaptation in NLP---A Survey

Deep Contextualized Self-training for Low Resource Dependency Parsing


ClimateSERV allows development practitioners, scientists/researchers, and government decision-makers to visualize and download historical rainfall data, vegetation condition data, and 180-day forecasts of rainfall and temperature to improve understanding of, and make improved decisions for, issues related to agriculture and water availability.


Tool for evaluating atmospheric carbon dioxide concentrations as simulated by Earth system models

Seasonal climatology of CO2 across North America from aircraft measurements in the NOAA/ESRL Global Greenhouse Gas Reference Network

Journal of geophysical research. Atmospheres


A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Self-Attention Generative Adversarial Networks

DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection

DeepFakes: a New Threat to Face Recognition? Assessment and Detection

The Creation and Detection of Deepfakes: A Survey

Deep Learning for Deepfakes Creation and Detection: A Survey

FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals

IEEE transactions on pattern analysis and machine intelligence

Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward

Detecting Deep-Fake Videos from Appearance and Behavior

Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization

MotionMixer: MLP-based 3D Human Body Pose Forecasting


DES image simulation software: We dug too deeply and too greedily

No galaxy left behind: accurate measurements with the faintest objects in the Dark Energy Survey

Monthly Notices of the Royal Astronomical Society

Mass and galaxy distributions of four massive galaxy clusters from Dark Energy Survey Science Verification data

MAPPING AND SIMULATING SYSTEMATICS DUE TO SPATIALLY VARYING OBSERVING CONDITIONS IN DES SCIENCE VERIFICATION DATA

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

CFHTLenS and RCSLenS: testing photometric redshift distributions using angular cross-correlations with spectroscopic galaxy surveys

Modelling the Transfer Function for the Dark Energy Survey

Dark Energy Survey Year 3 Results: Measuring the Survey Transfer Function with Balrog

Weak lensing magnification in the Dark Energy Survey Science Verification data

Background sky obscuration by cluster galaxies as a source of systematic error for weak lensing

Monthly notices of the Royal Astronomical Society

Comparing Dark Energy Survey and HST-CLASH observations of the galaxy
  cluster RXC J2248.7-4431: implications for stellar mass versus dark matter

The UV Luminosity Function of Protocluster Galaxies at z ∼ 4: The Bright-end Excess and the Enhanced Star Formation Rate Density


Total Power Map to Visibilities (TP2VIS): Joint Deconvolution of ALMA 12m, 7m, and Total Power Array Data

Publications of the Astronomical Society of the Pacific

Internal Structures of Molecular Clouds in the LMC Revealed by ALMA

A chemical map of the outbursting V883 Ori system: vertical and radial structures

Data Combination: Interferometry and Single-dish Imaging in Radio
  Astronomy


This repository contains a code to infer distances to stellar clusters and its stars from  Gaia parallaxes.

A rich population of free-floating planets in the Upper Scorpius young stellar association

Lupus DANCe. Census of stars and 6D structure with Gaia-DR2 data

Ruprecht 147 DANCe I. Members, empirical isochrone, luminosity and mass distributions

An analysis of the most distant catalogued open clusters – Re-assessing
  fundamental parameters with Gaia EDR3 and

Searching for debris discs in the 30 Myr open cluster IC 4665

ALMA observations of the early stages of substellar formation in the Lupus 1 and 3 molecular clouds

Distances to Nearby Molecular Clouds Traced by Young Stars


Finmag source

Driving magnetic skyrmions with microwave fields

Physical review. B, Condensed matter and materials physics

Magnon-Driven Domain-Wall Motion with the Dzyaloshinskii-Moriya Interaction

Micromagnetics and spintronics: models and numerical methods

The European physical journal. B, Condensed matter physics/European physical journal. B, Condensed matter and complex systems

Dynamics of skyrmionic states in confined helimagnetic nanostructures

Microwave-induced dynamic switching of magnetic skyrmion cores in nanodots

Sensing magnetic nanoparticles using nano-confined ferromagnetic resonances in a magnonic crystal

Skyrmions in thin films with easy-plane magnetocrystalline anisotropy

Phenomenological description of the nonlocal magnetization relaxation in magnonics, spintronics, and domain-wall dynamics

Skyrmion states in thin confined polygonal nanostructures

Resonance-based detection of magnetic nanoparticles and microbeads using nanopatterned ferromagnets


Declarative Experimentation in Information Retrieval using PyTerrier

International Conference on the Theory of Information Retrieval

The Expando-Mono-Duo Design Pattern for Text Ranking with Pretrained
  Sequence-to-Sequence Models

Evaluating the Robustness of Retrieval Pipelines with Query Variation Generators


Fish for line detections by exploiting the known velocity structure of the disk.

Molecules with ALMA at Planet-forming Scales (MAPS). XVI. Characterizing the Impact of the Molecular Wind on the Evolution of the HD 163296 System

Mapping the 3D Kinematical Structure of the Gas Disk of HD 169142

Molecules with ALMA at Planet-forming Scales (MAPS). XVII. Determining the 2D Thermal Structure of the HD 163296 Disk

Sulphur monoxide emission tracing an embedded planet in the HD 100546 protoplanetary disk

Observability of the vertical shear instability in protoplanetary disk CO kinematics

Discovery of Molecular-line Polarization in the Disk of TW Hya

UV-driven chemistry as a signpost of late-stage planet formation

Kinematic Structures in Planet-Forming Disks


Deep and machine learning for atomic-scale and mesoscale data

Exploring order parameters and dynamic processes in disordered systems via variational autoencoders

Off-the-shelf deep learning is not enough, and requires parsimony, Bayesianity, and causality

Disentangling Rotational Dynamics and Ordering Transitions in a System of Self-Organizing Protein Nanorods via Rotationally Invariant Latent Representations.

Tracking atomic structure evolution during directed electron beam induced Si-atom motion in graphene via deep machine learning


nTorrent implementation. The application design is presented in the paper "nTorrent: Peer-to-Peer File Sharing in Named Data Networking": https://users.cs.fiu.edu/~afanasyev/assets/papers/mastorakis2017ntorrent.pdf

Porting nTorrent to ndnSIM.


Fisher forecasting code for use with class_delens

The Benefits of CMB Delensing

Subtracting the kinetic Sunyaev-Zeldovich effect from the cosmic microwave background with surveys of large-scale structure

Probing helium reionization with kinetic Sunyaev Zel'dovich tomography

Beyond Fisher forecasting for cosmology

The impact of cross-covariances between the CMB and reconstructed lensing power

Improving constraints on models addressing the Hubble tension with CMB delensing


Experimental code for the paper 'Finding Convincing Arguments Using Scalable Bayesian Preference Learning'

Scalable Bayesian Preference Learning for Crowds

Predicting the Humorousness of Tweets Using Gaussian Process Preference Learning


Spectroscopy Made Hard(er)

The southern stellar stream spectroscopic survey (S5) : Overview, target selection, data reduction, validation, and early science

The Southern Stellar Stream Spectroscopic Survey (S5): Chemical Abundances of Seven Stellar Streams

Detailed Abundances in the Ultra-faint Magellanic Satellites Carina II and III

Evidence from Disrupted Halo Dwarfs that r-process Enrichment via Neutron Star Mergers is Delayed by ≳500 Myr

R-process-rich Stellar Streams in the Milky Way*

Metal Mixing in the R-Process Enhanced Ultra-Faint Dwarf Galaxy
  Reticulum II

SPORK That Spectrum: Increasing Detection Significances from High-resolution Exoplanet Spectroscopy with Novel Smoothing Algorithms

S 5: The Destruction of a Bright Dwarf Galaxy as Revealed by the Chemistry of the Indus Stellar Stream

Chemical Abundances of the Typhon Stellar Stream

Metal-poor stars observed with the Magellan Telescope. IV.
  Neutron-capture element signatures in 27 main-sequence stars


A Heat And MoiSture Tracking framEwoRk (HAMSTER) for the evaluation of Lagrangian models

A unified framework to estimate the origins of atmospheric moisture and heat using Lagrangian models

The Contribution of Transpiration to Precipitation Over African Watersheds

A holistic framework to estimate the origins of atmospheric moisture and heat using a Lagrangian model


MFannot is a program for the annotation of mitochondrial and plastid genomes

Comparative Population Genomics Analysis of the Mammalian Fungal Pathogen Pneumocystis

A microbial eukaryote with a unique combination of purple bacteria and green algae as endosymbionts

Mitochondrial genome annotation with MFannot: a critical analysis of gene identification and gene model prediction

Mitochondrial genomes of two parasitic Cuscuta species lack clear evidence of horizontal gene transfer and retain unusually fragmented ccmFC genes

Revealing the high variability on nonconserved core and mobile elements of Austropuccinia psidii and other rust mitochondrial genomes

Comparative Analysis of Chloroplast Genomes of Seven Chaetoceros Species Revealed Variation Hotspots and Speciation Time

RecombineX: A generalized computational framework for automatic high-throughput gamete genotyping and tetrad-based recombination analysis

Genomic Characterization of Parengyodontium torokii sp. nov., a Biofilm-Forming Fungus Isolated from Mars 2020 Assembly Facility

Comparative analysis of full-length mitochondrial genomes of five Skeletonema species reveals conserved genome organization and recent speciation

Single-Cell Genomics Reveals the Divergent Mitochondrial Genomes of Retaria (Foraminifera and Radiolaria)


Genomic interval machine learning

Methods for constructing and evaluating consensus genomic interval sets

Fast clustering and cell-type annotation of scATAC data using pre-trained embeddings

Methods for evaluating unsupervised vector representations of genomic regions

Joint representation learning for retrieval and annotation of genomic interval sets


R interface to query UCSC bigWig files

Identification of regulatory elements from nascent transcription using dREG

ER-positive breast cancer cells are poised for RET-mediated endocrine resistance

Identification and prediction of developmental enhancers in sea urchin embryos

Chromatin run-on reveals nascent RNAs that differentiate normal and malignant brain tissue

A bi-stable feedback loop between GDNF, EGR1, and ERα contribute to endocrine resistant breast cancer

Kinetic networks identify key regulatory nodes and transcription factor functions in early adipogenesis

Integrative genome-scale analyses reveal post-transcriptional signatures of early human small intestinal development in a directed differentiation organoid model


:package: R/haldensify: Highly Adaptive Lasso Conditional Density Estimation

Causal mediation analysis for stochastic interventions

Journal of the Royal Statistical Society. Series B, Statistical methodology

hal9001: Scalable highly adaptive lasso regression in R

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

Nonparametric inverse probability weighted estimators based on the
  highly adaptive lasso

Nonparametric causal mediation analysis for stochastic interventional (in)direct effects

Targeted Maximum Likelihood Based Estimation for Longitudinal Mediation
  Analysis

Causal Inference for Continuous Multiple Time Point Interventions


BAIL: Best-Action Imitation Learning for Batch Deep Reinforcement Learning

Offline Reinforcement Learning via High-Fidelity Generative Behavior
  Modeling

Offline Reinforcement Learning with Value-based Episodic Memory

Curriculum Offline Imitation Learning


Mapping Alternative Splicing Events to pRoteins

Placenta Transcriptome Profiling in Intrauterine Growth Restriction (IUGR)

The RNA-Binding Protein HuD Regulates Alternative Splicing and Alternative Polyadenylation in the Mouse Neocortex

PRMT5 regulates ATF4 transcript splicing and oxidative stress response

Transcriptome, Spliceosome and Editome Expression Patterns of the Porcine Endometrium in Response to a Single Subclinical Dose of Salmonella Enteritidis Lipopolysaccharide


The Simons Observatory: Science goals and forecasts

Journal of Cosmology and Astroparticle Physics

Strong Bound on Canonical Ultralight Axion Dark Matter from the Lyman-Alpha Forest

Constraints on dark matter scenarios from measurements of the galaxy luminosity function at high redshifts

Future CMB tests of dark matter: Ultralight axions and massive neutrinos

Intensity mapping as a probe of axion dark matter

Solitons in the dark: First approach to non-linear structure formation with fuzzy dark matter

Implications of Milky Way substructures for the nature of dark matter

General framework for cosmological dark matter bounds using
N
-body simulations

Cosmological structure formation in scalar field dark matter with repulsive self-interaction: the incredible shrinking Jeans mass

Closing the window on fuzzy dark matter with the 21-cm signal


Multiwavelength continuum sizes of protoplanetary discs: scaling relations and implications for grain growth and radial drift

Global 3D radiation hydrodynamic simulations of proto-Jupiter’s convective envelope

Collisional evolution of dust and water ice in protoplanetary discs during and after an accretion outburst

Constraining the turbulence and the dust disk in IM Lup: Onset of planetesimal formation

Azimuthal temperature variations in ISO-Oph2 from multi-frequency ALMA
  observations

Shaping the CO snowline in protoplanetary disks


Tools for solar system dynamics and observations.

No Evidence for Orbital Clustering in the Extreme Trans-Neptunian Objects

The DECam Ecliptic Exploration Project (DEEP) III: Survey
  characterization and simulation methods

The DECam Ecliptic Exploration Project (DEEP): V. The Absolute Magnitude
  Distribution of the Cold Classical Kuiper Belt

Photometric Properties of Jupiter Trojans Detected by the Dark Energy Survey


THE POPULATION OF GALAXY-GALAXY STRONG LENSES IN FORTHCOMING OPTICAL IMAGING SURVEYS

CMU DeepLens: deep learning for automatic image-based galaxy-galaxy strong lens finding

Finding strong gravitational lenses in the Kilo Degree Survey with Convolutional Neural Networks

The LSST Dark Energy Science Collaboration (DESC) Science Requirements
  Document

Finding strong lenses in CFHTLS using convolutional neural networks

The distance sum rule from strong lensing systems and quasars - test of cosmic curvature and beyond

The STRong lensing Insights into the Dark Energy Survey (STRIDES) 2016 follow-up campaign - I. Overview and classification of candidates selected by two techniques

TEST OF PARAMETRIZED POST-NEWTONIAN GRAVITY WITH GALAXY-SCALE STRONG LENSING SYSTEMS

Testing the cosmic curvature at high redshifts: the combination of LSST strong lensing systems and quasars as new standard candles

A search for gravitationally lensed quasars and quasar pairs in Pan-STARRS1: spectroscopy and sources of shear in the diamond 2M1134−2103


Genome-wide de novo genotyping with 2bRAD

Cleaner fish escape salmon farms and hybridize with local wrasse populations

Combining an Ecological Experiment and a Genome Scan Show Idiosyncratic Responses to Salinity Stress in Local Populations of a Seaweed

Novel genomic resources for shelled pteropods: a draft genome and target capture probes for Limacina bulimoides, tested for cross-species relevance

Gene expression associated with disease resistance and long-term growth in a reef-building coral

Genomic signatures of host-associated divergence and adaptation in a coral-eating snail, Coralliophila violacea (Kiener, 1836).

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

Epigenetic and Genetic Population Structure is Coupled in a Marine Invertebrate

2b-RAD Genotyping of the Seagrass Cymodocea nodosa Along a Latitudinal Cline Identifies Candidate Genes for Environmental Adaptation

Seascape genomics identify adaptive barriers correlated to tidal amplitude in the shore crab Carcinus maenas

Testing the ‘caves as islands’ model in two cave-obligate invertebrates with a genomic approach


A user-friendly python package for computing and plotting machine learning explainability output.

A Simple and Effective Model-Based Variable Importance Measure

Quantifying Model Complexity via Functional Decomposition for Better Post-Hoc Interpretability

Grouped Feature Importance and Combined Features Effect Plot

Comparing Explanation Methods for Traditional Machine Learning Models
  Part 1: An Overview of Current Methods and Quantifying Their Disagreement

Comparing Explanation Methods for Traditional Machine Learning Models
  Part 2: Quantifying Model Explainability Faithfulness and Improvements with
  Dimensionality Reduction


Self-Organized Operational Neural Networks with Generative Neurons

Global ECG Classification by Self-Operational Neural Networks With Feature Injection

FastONN - Python based open-source GPU implementation for Operational Neural Networks.

Blind ECG Restoration by Operational Cycle-GANs

Blind Restoration of Real-World Audio by 1D Operational GANs


Gridworld domains in the gym interface

Deep Transformer Q-Networks for Partially Observable Reinforcement
  Learning

Unbiased Asymmetric Actor-Critic for Partially Observable Reinforcement Learning.

BADDr: Bayes-Adaptive Deep Dropout RL for POMDPs


Adyton: A Network Simulator for Opportunistic Networks

Simulating Opportunistic Networks: Survey and Future Directions

IEEE Communications surveys and tutorials/IEEE communications surveys and tutorials

Proliferation of Opportunistic Routing: A Systematic Review

Opportunistic Networking Protocol Simulator for OMNeT

TRAILS mobility model


[IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer

Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference

Low-bit Quantization of Neural Networks for Efficient Inference

Learning to Assemble Geometric Shapes

FQ-ViT: Fully Quantized Vision Transformer without Retraining


A curated list for vision-and-language navigation. ACL 2022 paper "Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions"

TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments

Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation

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

Retouchdown: Releasing Touchdown on StreetLearn as a Public Resource for Language Grounding Tasks in Street View

Learning to Navigate

1st International Workshop on Multimodal Understanding and Learning for Embodied Applications

A Framework for Learning to Request Rich and Contextually Useful Information from Humans


An application for parameterization of biological models available in SBML and BNGL formats. Features include parallelization, metaheuristic optimization algorithms, and an adaptive Markov chain Monte Carlo (MCMC) sampling algorithm.

PyBioNetFit and the Biological Property Specification Language

Bayesian Inference of State-Level COVID-19 Basic Reproduction Numbers across the United States

medRxiv : the preprint server for health sciences

Bayesian inference using qualitative observations of underlying continuous variables

Implementation of a practical Markov chain Monte Carlo sampling algorithm in PyBioNetFit

Bayesian Uncertainty Quantification for Systems Biology Models Parameterized Using Qualitative Data


RepEnrich is a method to estimate repetitive element enrichment using high-throughput sequencing data.

DNA methylation repels binding of hypoxia-inducible transcription factors to maintain tumor immunotolerance

Landscape of Transposable Elements Focusing on the B Chromosome of the Cichlid Fish Astatotilapia latifasciata

The Caenorhabditis elegans Ortholog of TDP-43 Regulates the Chromatin Localization of the Heterochromatin Protein 1 Homolog HPL-2

DNA Methylation Repels Binding of HIF Transcription Factors to Maintain Tumour Immunotolerance


Code for the paper "MSMatch: Semi-Supervised Multispectral Scene Classification with Few Labels"

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence

EuroSAT: A Novel Dataset and Deep Learning Benchmark for Land Use and Land Cover Classification

Decentralised Semi-supervised Onboard Learning for Scene Classification
  in Low-Earth Orbit


Drosophila transposable element canonical sequences

Engineered sex ratio distortion by X-shredding in the global agricultural pest Ceratitis capitata

A Transposon Story: From TE Content to TE Dynamic Invasion of Drosophila Genomes Using the Single-Molecule Sequencing Technology from Oxford Nanopore

Nuclear Ccr4-Not mediates the degradation of telomeric and transposon transcripts at chromatin in the Drosophila germline

Deep repeat resolution—the assembly of the Drosophila Histone Complex

Genomic analysis of P elements in natural populations of Drosophila melanogaster

Transposable element profiles reveal cell line identity and loss of heterozygosity in Drosophila cell culture

Local assembly of long reads enables phylogenomics of transposable elements in a polyploid cell line

Chromosome-specific maturation of the epigenome in the Drosophila male germline

Reconstructing the Invasion Route of the P-Element inDrosophila melanogasterUsing Extant Population Samples

ChimeraTE: a pipeline to detect chimeric transcripts derived from genes and transposable elements


Repository for the pyCloudy package

Two new nova shells associated with V4362 Sagittarii and DO Aquilae

Nonthermal element abundances at astrophysical shocks

Near-infrared emission line diagnostics for AGN from the local Universe
  to redshift 3


Documentation for dynamic machine learning systems.

Datasheets for Datasets

Model Cards for Model Reporting

Proceedings of the Conference on Fairness, Accountability, and Transparency

Reward Reports for Reinforcement Learning

Choices, Risks, and Reward Reports: Charting Public Policy for
  Reinforcement Learning Systems


Invertible conditional GANs for image editing

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

AttGAN: Facial Attribute Editing by Only Changing What You Want

DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection

Invertible Conditional GANs for image editing

Fader Networks: Manipulating Images by Sliding Attributes

DNA-GAN: Learning Disentangled Representations from Multi-Attribute Images

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

An Introduction to Digital Face Manipulation

Handbook of Digital Face Manipulation and Detection


Create WRF-Chem emission file from your local emissions disaggregated in space and time.


Assessment of an In Silico Mechanistic Model for Proarrhythmia Risk Prediction Under the CiPA Initiative

Uncertainty Quantification Reveals the Importance of Data Variability and Experimental Design Considerations for in Silico Proarrhythmia Risk Assessment

A systematic strategy for estimating hERG block potency and its implications in a new cardiac safety paradigm

Introduction to in silico model for proarrhythmic risk assessment under the CiPA initiative

Translational and clinical pharmacology/Translational & clinical pharmacology

Global Sensitivity Analysis of Ventricular Myocyte Model-Derived Metrics for Proarrhythmic Risk Assessment

Assessment of proarrhythmogenic risk for chloroquine and hydroxychloroquine using the CiPA concept

Assessment of Drug Proarrhythmicity Using Artificial Neural Networks With in silico Deterministic Model Outputs

Use of Patient Health Records to Quantify Drug-Related Pro-arrhythmic Risk

Application of Convolutional Neural Networks Using Action Potential Shape for In-Silico Proarrhythmic Risk Assessment

Validation of in silico biomarkers for drug screening through ordinal logistic regression


Parallel Tensor Infrastructure (ParTI!)

Load-Balanced Sparse MTTKRP on GPUs

Efficient and effective sparse tensor reordering

International Conference on Supercomputing

A Parallel Sparse Tensor Benchmark Suite on CPUs and GPUs

Dynasor: A Dynamic Memory Layout for Accelerating Sparse MTTKRP for Tensor Decomposition on Multi-core CPU


Create future EnergyPlus Weather files using CMIP6 data

Elastic buildings: Calibrated district-scale simulation of occupant-flexible campus operation for hybrid work optimization


LEGACY - Graphical interface for spike sorting manual stage in Python

Hardware-accelerated interactive data visualization for neuroscience in Python

Multichannel Silicon Probes for Awake Hippocampal Recordings in Large Animals

State-dependent geometry of population activity in rat auditory cortex

Traumatic Brain Injury Preserves Firing Rates But Disrupts Laminar Oscillatory Coupling and Neuronal Entrainment in Hippocampal CA1

Coding of self-motion-induced and self-independent visual motion in the rat dorsomedial striatum

Hippocampal interneuronal dysfunction and hyperexcitability in a porcine model of concussion


Excimontec is an open-source KMC simulation software package for modeling the optoelectronic processes in organic semiconductor materials and devices, such as OPVs, OLEDs, and more.

Theoretical description of charge transport in disordered organic semiconductors

Developing understanding of organic photovoltaic devices: kinetic Monte Carlo models of geminate and non-geminate recombination, charge transport and charge extraction

Simulating charge transport in organic semiconductors and devices: a review

Reports on progress in physics. Physical Society (Great Britain)

Advances in modeling the physics of disordered organic electronic devices

Handbook of Organic Materials for Electronic and Photonic Devices

Excimontec v1.0: An Open-Source Software Tool for Kinetic Monte Carlo Simulations of Organic Electronic Devices


Genetic diversity, mobilisation and spread of the yersiniabactin-encoding mobile element ICEKp in Klebsiella pneumoniae populations

Genome-scale rates of evolutionary change in bacteria

Distinct evolutionary dynamics of horizontal gene transfer in drug resistant and virulent clones of Klebsiella pneumoniae

Frequent transmission of the Mycobacterium tuberculosis Beijing lineage and positive selection for the EsxW Beijing variant in Vietnam

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

Genomic Epidemiology of Global Carbapenemase-ProducingEnterobacterspp., 2008–2014

Convergence of virulence and MDR in a single plasmid vector in MDR Klebsiella pneumoniae ST15

The journal of antimicrobial chemotherapy/Journal of antimicrobial chemotherapy

Evolution of carbapenem resistance in Acinetobacter baumannii during a prolonged infection

Laboratory and molecular surveillance of paediatric typhoidal Salmonella in Nepal: Antimicrobial resistance and implications for vaccine policy

Repeated local emergence of carbapenem-resistant Acinetobacter baumannii in a single hospital ward


A tool to reduce the size of Oxford Nanopore Technologies' datasets without losing information

SquiggleKit: a toolkit for manipulating nanopore signal data

Telomere-to-telomere assemblies of 142 strains characterize the genome structural landscape in Saccharomyces cerevisiae

Portable nanopore-sequencing technology: Trends in development and applications


Multi Atlas Segmentation and Morphometric analysis toolkit (MASMAT) for mouse brain MRI

Automatic Structural Parcellation of Mouse Brain MRI Using Multi-Atlas Label Fusion

Automated joint skull-stripping and segmentation with Multi-Task U-Net in large mouse brain MRI databases

Study the Longitudinal in vivo and Cross-Sectional ex vivo Brain Volume Difference for Disease Progression and Treatment Effect on Mouse Model of Tauopathy Using Automated MRI Structural Parcellation

Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome – a comprehensive morphometric analysis with active staining contrast-enhanced MRI

Grey Matter Sublayer Thickness Estimation in the Mouse Cerebellum

Medical Image Computing and Computer-Assisted Intervention


Signal based nanopore RNA demultiplexing with convolutional neural networks

Molecular barcoding of native RNAs using nanopore sequencing and deep learning

MasterOfPores: A Workflow for the Analysis of Oxford Nanopore Direct RNA Sequencing Datasets

Barcoding and demultiplexing Oxford Nanopore native RNA sequencing reads with deep residual learning


A collection of tools to process single-cell omics datasets.

Single-cell spatial transcriptome reveals cell-type organization in the macaque cortex

Single-cell multiomics reveals heterogeneous cell states linked to metastatic potential in liver cancer cell lines

Single-Nucleus Chromatin Accessibility Landscape Reveals Diversity in Regulatory Regions Across Distinct Adult Rat Cortex

Single-Cell Atlas of the Chinese Tongue Sole (Cynoglossus semilaevis) Ovary Reveals Transcriptional Programs of Oogenesis in Fish

Frontiers in cell and developmental biology

The FASTQ plus format and PISA

Cancer-associated fibroblasts undergoing neoadjuvant chemotherapy suppress rectal cancer revealed by single-cell and spatial transcriptomics

Integrative Single-Cell RNA-Seq and ATAC-Seq Analysis of Mesenchymal Stem/Stromal Cells Derived from Human Placenta

Single-Cell Transcriptome Analysis of H5N1-HA-Stimulated Alpaca PBMCs

Transcriptomic Profile of the Mouse Postnatal Liver Development by Single-Nucleus RNA Sequencing

Single-cell and spatiotemporal transcriptomic analyses reveal the effects of microorganisms on immunity and metabolism in the mouse liver

Computational and structural biotechnology journal


Semantic similarity metrics for image registration

DeepSim: Semantic similarity metrics for learned image registration


:microscope: BEDOPS: high-performance genomic feature operations

The transcription factor HIF2α partakes in the differentiation block of acute myeloid leukemia

Gene Regulatory Interactions at Lamina-Associated Domains

Cellular and Genomic Features of Muscle Differentiation from Isogenic Fibroblasts and Myoblasts


Sign Language Segmentation with Temporal Convolutional Networks (ICASSP'21) and Sign Segmentation with Changepoint-Modulated Pseudo-Labelling (CVPRW'21)

Sign language segmentation with temporal convolutional networks

A Machine Learning-based Segmentation Approach for Measuring Similarity between Sign Languages


A multi-domain task-oriented dataset enhanced with annotation corrections and co-reference annotation

MultiWOZ 2.3: A multi-domain task-oriented dialogue dataset enhanced with annotation corrections and co-reference annotation

Description-Driven Task-Oriented Dialog Modeling

Controllable Dialogue Simulation with In-Context Learning

Know Thy Strengths: Comprehensive Dialogue State Tracking Diagnostics


Segment an audio file and obtain utterance alignments. (Python package)

CTC-Segmentation of Large Corpora for German End-to-End Speech Recognition

A Toolbox for Construction and Analysis of Speech Datasets

J-MAC: Japanese multi-speaker audiobook corpus for speech synthesis


Code needed to reproduce the examples found in the various works published on Distributed and Localized Model Predictive Control via System Level Synthesis, by C. Amo Alonso, S. J. Li, F. Yang, J. Anderson and N. Matni.

Explicit Distributed and Localized Model Predictive Control via System Level Synthesis

Distributed and Localized Model-Predictive Control–Part I: Synthesis and Implementation

Data-driven Distributed and Localized Model Predictive Control

Distributed and Localized Model Predictive Control—Part II: Theoretical Guarantees


Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.

Annealed Flow Transport Monte Carlo

Continual Repeated Annealed Flow Transport Monte Carlo

Diffusion Generative Flow Samplers: Improving learning signals through
  partial trajectory optimization


记录GitHub热门仓库，每小时更新，按天归档。

High-Resolution Image Synthesis with Latent Diffusion Models

Masked Autoencoders Are Scalable Vision Learners

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

You Only Learn One Representation: Unified Network for Multiple Tasks

DiffusionDet: Diffusion Model for Object Detection


Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

Multi-Hop Knowledge Graph Reasoning with Reward Shaping

Explainable Link Prediction for Emerging Entities in Knowledge Graphs

Cognitive Knowledge Graph Reasoning for One-shot Relational Learning

KGML-xDTD: A Knowledge Graph-based Machine Learning Framework for Drug Treatment Prediction and Mechanism Description


The Pantheon+ Analysis: SuperCal-Fragilistic Cross Calibration,
  Retrained SALT2 Light Curve Model, and Calibration Systematic Uncertainty

The Pantheon+ Analysis: Improving the Redshifts and Peculiar Velocities
  of Type Ia Supernovae Used in Cosmological Analyses

Investigating dark energy by electromagnetic frequency shifts

Cosmic chronometers to calibrate the ladders and measure the curvature of the Universe. A model-independent study

The Dipole of the Pantheon+SH0ES Data

Progress in direct measurements of the Hubble constant

Constraining dark energy cosmologies with spatial curvature using
  Supernovae JWST forecasting

The perspective of voids on rising cosmology tensions

Non-Gaussian Likelihoods for Type Ia Supernovae Cosmology: Implications
  for Dark Energy and H_0

The tension in the absolute magnitude of Type Ia supernovae


The Self-Assembling-Manifold (SAM) algorithm.

Self-assembling manifolds in single-cell RNA sequencing data

Single-cell analysis of Schistosoma mansoni identifies a conserved genetic program controlling germline stem cell fate

Cross-species cell-type assignment from single-cell RNA-seq data by a heterogeneous graph neural network

Single cell transcriptomics of the human parasiteSchistosoma mansonifirst intra-molluscan stage reveals tentative tegumental and stem cell regulators


Multi-agent PPO with noise (97% win rates on Hard scenarios of SMAC)

ACE: Cooperative Multi-agent Q-learning with Bidirectional
  Action-Dependency

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

Noisy-MAPPO: Noisy Advantage Values for Cooperative Multi-agent Actor-Critic methods.


Prompt-to-Prompt Image Editing with Cross Attention Control

Null-text Inversion for Editing Real Images using Guided Diffusion Models

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

Concept Sliders: LoRA Adaptors for Precise Control in Diffusion Models

MDP: A Generalized Framework for Text-Guided Image Editing by
  Manipulating the Diffusion Path

CycleNet: Rethinking Cycle Consistency in Text-Guided Diffusion for
  Image Manipulation

PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image
  Editing

Beyond First-Order Tweedie: Solving Inverse Problems using Latent
  Diffusion

MAG-Edit: Localized Image Editing in Complex Scenarios via Mask-Based Attention-Adjusted Guidance

Get What You Want, Not What You Don't: Image Content Suppression for
  Text-to-Image Diffusion Models


DAGs with NO TEARS: Continuous Optimization for Structure Learning

Learning Sparse Nonparametric DAGs

On the Role of Sparsity and DAG Constraints for Learning Linear DAGs

Beware of the Simulated DAG! Causal Discovery Benchmarks May Be Easy to Game

Unsuitability of NOTEARS for Causal Graph Discovery

Ordering-Based Causal Discovery with Reinforcement Learning

DAGs with No Curl: An Efficient DAG Structure Learning Approach

Variational Causal Networks: Approximate Bayesian Inference over Causal Structures

Learning Neural Causal Models with Active Interventions


Tools and Utilities for msmc and msmc2

Yam genomics supports West Africa as a major cradle of crop domestication

Tracking human population structure through time from whole genome sequences

The evolutionary history and genomics of European blackcap migration

High-quality genome and methylomes illustrate features underlying evolutionary success of oaks

Inferring Population Histories for Ancient Genomes Using Genome-Wide Genealogies

The complex geography of domestication of the African rice Oryza glaberrima

Large-scale genomic analysis reveals the genetic cost of chicken domestication

Demes: a standard format for demographic models

Complex population history affects admixture analyses in nine-spined sticklebacks

Adaptive venom evolution and toxicity in octopods is driven by extensive novel gene formation, expansion, and loss


This is a sample code of "LSTM encoder-decoder with attention mechanism" mainly for understanding a recently developed machine translation framework based on deep neural networks.

Positional Encoding to Control Output Sequence Length

Direct Output Connection for a High-Rank Language Model

Word Rewarding for Adequate Neural Machine Translation

International Workshop on Spoken Language Translation

Osaka University MT Systems for WAT 2018: Rewarding, Preordering, and Domain Adaptation

Pacific Asia Conference on Language, Information and Computation


Image Quality Framework

IQUAFLOW: A new framework to measure image quality

QMRNet: Quality Metric Regression for EO Image Quality Assessment and Super-Resolution


Code for replicating the work in "Targeted Syntactic Evaluation of Language Models." EMNLP 2018.

Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks


Splitting of sequence reads by internal adapter sequence search

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

RESCUE: a validated Nanopore pipeline to classify bacteria through long-read, 16S-ITS-23S rRNA sequencing

Complete Genome Sequence of Anaerostipes hadrus JCM 17467T.


FastPoseGait is a user-friendly and flexible repository that aims to help researchers get started on pose-based gait recognition quickly.

Spatial Transformer Network on Skeleton-based Gait Recognition

GPGait: Generalized Pose-based Gait Recognition


Neural question generation using transformers

Synthetic QA Corpora Generation with Roundtrip Consistency

Simplifying Paragraph-level Question Generation via Transformer Language
  Models

All You May Need for VQA are Image Captions

Improving Biomedical Information Retrieval with Neural Retrievers

Data Augmentation for Biomedical Factoid Question Answering

Towards Zero-Shot and Few-Shot Table Question Answering using GPT-3

Generative Data Augmentation using LLMs improves Distributional
  Robustness in Question Answering

Can LLMs Augment Low-Resource Reading Comprehension Datasets?
  Opportunities and Challenges


Single/multi view image(s) to voxel reconstruction using a recurrent neural network

3D-R2N2: A Unified Approach for Single and Multi-view 3D Object Reconstruction

Weakly supervised 3D Reconstruction with Adversarial Constraint

POCO: Point Convolution for Surface Reconstruction


Causal Neural Nerwork

CUTS: Neural Causal Discovery from Irregular Time-Series Data

CUTS+: High-dimensional Causal Discovery from Irregular Time-series


Swift Core ML 3 implementations of GPT-2, DistilGPT-2, BERT, and DistilBERT for Question answering. Other Transformers coming soon!

Language Models are Unsupervised Multitask Learners

Transformers: State-of-the-Art Natural Language Processing

DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter

Training Optimus Prime, M.D.: Generating Medical Certification Items by
  Fine-Tuning OpenAI's gpt2 Transformer Model


Force field for ionic liquids

Molecular force field for ionic liquids v: hydroxyethylimidazolium, dimethoxy-2- methylimidazolium, and fluoroalkylimidazolium cations and bis(fluorosulfonyl)amide, perfluoroalkanesulfonylamide, and fluoroalkylfluorophosphate anions.

Resolving dispersion and induction components for polarisable molecular simulations of ionic liquids

Effects of Silica Surfaces on the Structure and Dynamics of Room
  Temperature Ionic Liquids: A Molecular Dynamics Simulation Study

Ion pair free energy surface as a probe of ionic liquid structure


MD trajectory analysis using protein-ligand Interaction Fingerprints

The binding of heparin to spike glycoprotein inhibits SARS-CoV-2 infection by three mechanisms

A workflow for exploring ligand dissociation from a macromolecule: Efficient random acceleration molecular dynamics simulation and interaction fingerprint analysis of ligand trajectories.

Mechanism of inhibition of SARS-CoV-2 infection by the interaction of the spike glycoprotein with heparin


GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Demystifying MMD GANs

Efficient Geometry-aware 3D Generative Adversarial Networks

Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction

Next3D: Generative Neural Texture Rasterization for 3D-Aware Head Avatars

DisCoScene: Spatially Disentangled Generative Radiance Fields for Controllable 3D-aware Scene Synthesis

3D GAN Inversion with Pose Optimization

SceneDreamer: Unbounded 3D Scene Generation From 2D Image Collections

Real-Time Radiance Fields for Single-Image Portrait View Synthesis

VIVE3D: Viewpoint-Independent Video Editing using 3D-Aware GANs


Structural Bioinformatics Training Workshop & Hackathon 2018

NGL viewer: web-based molecular graphics for large complexes

Web-based molecular graphics for large complexes

Proceedings of the 21st International Conference on Web3D Technology

MMTF - an efficient file format for the transmission, visualization, and analysis of macromolecular structures

Towards an efficient compression of 3D coordinates of macromolecular structures

Machine Learning for Classification of Protein Helix Capping Motifs


The state-of-the-art algorithms on CIFAR-10 dataset in PyTorch

Deep Residual Learning for Image Recognition

Deep Pyramidal Residual Networks

Shake-Shake regularization

Singularity: Planet-Scale, Preemptive and Elastic Scheduling of AI
  Workloads


Framework for 0-D Atmospheric Modeling

Development of ozone reactivity scales for volatile organic compounds in a Chinese megacity

What the COVID-19 lockdown revealed about photochemistry and ozone production in Quito, Ecuador

Insights into the significant increase in ozone during COVID-19 in a typical urban city of China

Atmospheric measurements at Mt. Tai – Part II: HONO budget and radical (ROx + NO3) chemistry in the lower boundary layer

Wintertime Formaldehyde: Airborne Observations and Source Apportionment Over the Eastern United States

Journal of geophysical research. Atmospheres

Evolution of formaldehyde (HCHO) in a plume originating from a petrochemical industry and its volatile organic compounds (VOCs) emission rate estimation

The Lack of HONO Measurement May Affect the Accurate Diagnosis of Ozone Production Sensitivity

Atmospheric Measurements at the Foot and the Summit of Mt. Tai – Part II: HONO Budget and Radical (RO x + NO 3 ) Chemistry in the Lower Boundary Layer


Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.

How To Backdoor Federated Learning

Multi-Task Learning as Multi-Objective Optimization

Blind Backdoors in Deep Learning Models


Official implementation of VQMIVC: One-shot (any-to-any) Voice Conversion @ Interspeech 2021 + Online playing demo!

VQMIVC: Vector Quantization and Mutual Information-Based Unsupervised Speech Representation Disentanglement for One-shot Voice Conversion

StyleTTS-VC: One-Shot Voice Conversion by Knowledge Transfer from
  Style-Based TTS Models

Voice Conversion With Just Nearest Neighbors

Phoneme Hallucinator: One-shot Voice Conversion via Set Expansion

StreamVC: Real-Time Low-Latency Voice Conversion


The codes of paper "Long Text Generation via Adversarial Training with Leaked Information"  on AAAI 2018.  Text generation using GAN and Hierarchical Reinforcement Learning.

Toward Diverse Text Generation with Inverse Reinforcement Learning

Data Augmentation for Modeling Human Personality: The Dexter Machine


R package for semi-supervised single-cell data integration

Interpretation of T cell states from single-cell transcriptomics data using reference atlases

STACAS: Sub-Type Anchor Correction for Alignment in Seurat to integrate single-cell RNA-seq data

SPICA: Swiss portal for immune cell analysis

Semi-supervised integration of single-cell transcriptomics data


Stratification BED files from the Global Alliance for Genomics and Health (GA4GH) Benchmarking Team and the Genome in a Bottle Consortium.  These files can be used as standard resource of BED files for use with GA4GH benchmarking tools such as hap.py to stratify true positive, false positive, and false negative variant calls based on genomic context.

Best practices for benchmarking germline small-variant calls in human genomes

A draft human pangenome reference

PrecisionFDA Truth Challenge V2: Calling variants from short and long reads in difficult-to-map regions

Pangenome graph construction from genome alignments with Minigraph-Cactus

Application of long-read sequencing to elucidate complex pharmacogenomic regions: a proof of principle

Comparison of calling pipelines for whole genome sequencing: an empirical study demonstrating the importance of mapping and alignment


H.E.L.E.N. (Homopolymer Encoded Long-read Error-corrector for Nanopore)

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

Efficient de novo assembly of eleven human genomes using PromethION sequencing and a novel nanopore toolkit

An integrated personal and population-based Egyptian genome reference

PETTY TRADING IN MARKETPLACES: Space Generation, Use and Management at Temeke Stereo Marketplace in Dar es Salaam, Tanzania


This is a project to demonstrate NLP API from LanguageTool for Ukrainian language.

Introducing UberText 2.0: A Corpus of Modern Ukrainian at Scale

Proceedings of the Second Ukrainian Natural Language Processing Workshop (UNLP)

GPT-2 Metadata Pretraining Towards Instruction Finetuning for Ukrainian

Learning Word Embeddings for Ukrainian: A Comparative Study of FastText Hyperparameters


This is the FER+ new label annotations for the Emotion FER dataset.

Training Deep Networks for Facial Expression Recognition with Crowd-Sourced Label Distribution

Improving Facial Emotion Recognition Systems Using Gradient and Laplacian Images.

A pre-trained model vs dedicated convolution neural networks for emotion recognition

International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering


Blackbox attacks for deep neural network models

Towards Evaluating the Robustness of Neural Networks

Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach

Sign-OPT: A Query-Efficient Hard-label Adversarial Attack


Official research projects of badminton CoachAI

Where Will Players Move Next? Dynamic Graphs and Hierarchical Fusion for Movement Forecasting in Badminton

ShuttleSet22: Benchmarking Stroke Forecasting with Stroke-Level
  Badminton Dataset

A Reinforcement Learning Badminton Environment for Simulating Player Tactics (Student Abstract)

ShuttleSet: A Human-Annotated Stroke-Level Singles Dataset for Badminton Tactical Analysis


PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

A Survey of Deep Learning for Scientific Discovery

Simpler, Faster, Stronger: Breaking The log-K Curse On Contrastive Learners With FlatNCE

Tight Mutual Information Estimation With Contrastive Fenchel-Legendre Optimization

A Global Model Approach to Robust Few-Shot SAR Automatic Target Recognition

Joint Embedding Predictive Architectures Focus on Slow Features

Unsupervised Wildfire Change Detection based on Contrastive Learning

Improving Medical Image Classification in Noisy Labels Using Only
  Self-supervised Pretraining

f-MICL: Understanding and Generalizing InfoNCE-based Contrastive
  Learning

Unraveling Projection Heads in Contrastive Learning: Insights from
  Expansion and Shrinkage


TREC CAsT 2019: The Conversational Assistance Track Overview

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

Harnessing Evolution of Multi-Turn Conversations for Effective Answer Retrieval

Conference on Human Information Interaction and Retrieval

Contextualized Query Embeddings for Conversational Search

Query Reformulation using Query History for Passage Retrieval in Conversational Search

Large Language Models Know Your Contextual Search Intent: A Prompting Framework for Conversational Search

Conversational Entity Linking: Problem Definition and Datasets

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

MG-ShopDial: A Multi-Goal Conversational Dataset for e-Commerce

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

From Baseline to Top Performer: A Reproducibility Study of Approaches at the TREC 2021 Conversational Assistance Track


Python quantum signal processing

Optimal Hamiltonian Simulation by Quantum Signal Processing

Grand Unification of Quantum Algorithms

Two-Unitary Decomposition Algorithm and Open Quantum System Simulation

Simplifying a classical-quantum algorithm interpolation with quantum singular value transformations


Creative Commons Attribution 4.0 International

Proton Exchange Membrane (PEM) Fuel Cell Dataset

Dataset of Standard Tests of Nafion 112 Membrane and Membrane Electrode Assembly (MEA) Activation Tests of Proton Exchange Membrane (PEM) Fuel Cell


An open source dataset for source separation

LibriMix: An Open-Source Dataset for Generalizable Speech Separation

Neural Target Speech Extraction: An overview

Target Speaker Verification With Selective Auditory Attention for Single and Multi-Talker Speech

L-SpEx: Localized Target Speaker Extraction

Towards Listening to 10 People Simultaneously: An Efficient Permutation Invariant Training of Audio Source Separation Using Sinkhorn’s Algorithm

International Conference on Acoustics, Speech, and Signal Processing

Unifying Speech Enhancement and Separation with Gradient Modulation for End-to-End Noise-Robust Speech Separation


Pretrained ELECTRA Model for Korean

KLUE: Korean Language Understanding Evaluation

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

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

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

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

LittleBird: Efficient Faster & Longer Transformer for Question Answering

LAME: Layout Aware Metadata Extraction Approach for Research Articles

UA-KO at SemEval-2022 Task 11: Data Augmentation and Ensembles for Korean Named Entity Recognition


Moleculenet.ai Datasets And Splits

Semi-Supervised Classification with Graph Convolutional Networks

Atomic Convolutional Networks for Predicting Protein-Ligand Binding Affinity

Hardware-aware Automated Architecture Search for Brain-inspired Hyperdimensional Computing


Adaptive Risk Minimization: Learning to Adapt to Domain Shift

DAC-MR: Data Augmentation Consistency Based Meta-Regularization for
  Meta-Learning

Learning to Adapt to Online Streams with Distribution Shifts


A suite of representation learning models for sentence embedding, and some tasks to evaluate them on.

Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks

Tree-structured composition in neural networks without tree-structured architectures

Can recursive neural tensor networks learn logical reasoning?

Towards Better Modeling Hierarchical Structure for Self-Attention with Ordered Neurons


PEframe is a open source tool to perform static analysis on Portable Executable malware and malicious MS Office documents.

Machine Learning Aided Static Malware Analysis: A Survey and Tutorial

Malware triage for early identification of Advanced Persistent Threat
  activities

Integration of Static and Dynamic Analysis for Malware Family Classification with Composite Neural Network

Analysis of Machine Learning Approaches to Packing Detection


Accenture Labs Federated Learning

Clustered Sampling: Low-Variance and Improved Representativity for Clients Selection in Federated Learning

Free-rider Attacks on Model Aggregation in Federated Learning

A General Theory for Client Sampling in Federated Learning

Sequential Informed Federated Unlearning: Efficient and Provable Client
  Unlearning in Federated Optimization


A PyTorch port of the Neural 3D Mesh Renderer

Unsupervised Learning of Probably Symmetric Deformable 3D Objects from Images in the Wild

Learning pose-invariant 3D object reconstruction from single-view images

Photo-Geometric Autoencoding to Learn 3D Objects from Unlabelled Images


Code and data for paper Colorless Green Recurrent Networks Dream Hierarchically

Colorless green recurrent networks dream hierarchically

Mechanisms for handling nested dependencies in neural-network language models and humans

Cross-linguistic Comparison of Linguistic Feature Encoding in BERT Models for Typologically Different Languages

Proceedings of the 4th Workshop on Research in Computational Linguistic Typology and Multilingual NLP

Neural Networks Can Learn Patterns of Island-insensitivity in Norwegian


Same species annotation lift over pipeline.

Updated annotation of the wild strawberry Fragaria vesca V4 genome

First Draft Assembly and Annotation of the Genome of a California Endemic OakQuercus lobataNée (Fagaceae)

Chromosome-scale scaffolding of the black raspberry (Rubus occidentalis L.) genome based on chromatin interaction data

Whole genome analysis of water buffalo and global cattle breeds highlights convergent signatures of domestication

A Single SNP Turns a Social Honey Bee (Apis mellifera) Worker into a Selfish Parasite

Benchmark study comparing liftover tools for genome conversion of epigenome sequencing data

Genome Improvement and Genetic Map Construction for Aethionema arabicum, the First Divergent Branch in the Brassicaceae Family

De Novo Genome Assembly of a Plasmodium falciparum NF54 Clone Using Single-Molecule Real-Time Sequencing

PRE-1 Revealed Previous Unknown Introgression Events in Eurasian Boars during the Middle Pleistocene

Building a foundation for gene family analysis in Rosaceae genomes with a novel workflow: A case study in Pyrus architecture genes


SuperFolder COVID mRNA vaccines, stabilized for in vitro storage and shipping

Improving mRNA-Based Therapeutic Gene Delivery by Expression-Augmenting 3' UTRs Identified by Cellular Library Screening.

Molecular therapy : the journal of the American Society of Gene Therapy

Theoretical basis for stabilizing messenger RNA through secondary structure design

bioRxiv : the preprint server for biology

Algorithm for optimized mRNA design improves stability and immunogenicity

RNA secondary structure packages evaluated and improved by high-throughput experiments


Framework to imitate writing styles using deep learning

Densely Connected Convolutional Networks

WaveNet: A Generative Model for Raw Audio

Convolutional Sequence to Sequence Learning

One weird trick for parallelizing convolutional neural networks


Loss Surfaces, Mode Connectivity, and Fast Ensembling of DNNs

Essentially No Barriers in Neural Network Energy Landscape

Large Scale Structure of Neural Network Loss Landscapes

Loss Surface Simplexes for Mode Connecting Volumes and Fast Ensembling


Official Implementation of StyleTTS

StarGANv2-VC: A Diverse, Unsupervised, Non-parallel Framework for Natural-Sounding Voice Conversion

StyleTTS: A Style-Based Generative Model for Natural and Diverse
  Text-to-Speech Synthesis

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


A simple tool for labeling object bounding boxes in images

Deep Learning for Traffic Sign Recognition Based on Spatial Pyramid Pooling with Scale Analysis

Deep Learning for Retail Product Recognition: Challenges and Techniques

Computational intelligence and neuroscience

AN APPROACH FOR IMAGE ANNOTATION AUTOMATIZATION FOR ARTIFICIAL INTELLIGENCE MODELS LEARNING

Адаптивні системи автоматичного управління

Recognizing Similar Musical Instruments with YOLO Models


Identification & characterization of bacterial plasmid-borne contigs from short-read draft assemblies.

Platon: identification and characterization of bacterial plasmid contigs in short-read draft assemblies exploiting protein sequence-based replicon distribution scores

First Detection of GES-5-Producing Escherichia coli from Livestock—An Increasing Diversity of Carbapenemases Recognized from German Pig Production

Prevalence and Population Diversity of Listeria monocytogenes Isolated from Dairy Cattle Farms in the Cantabria Region of Spain

Animals : an open access journal from MDPI

Comparison of Antimicrobial Susceptibility Profiles of Thermotolerant Campylobacter spp. Isolated from Human and Poultry Samples in Georgia (Caucasus)


L-BFGS-B, converted from Fortran to C, with Matlab wrapper

Generalized Canonical Polyadic Tensor Decomposition

Sketching for Large-Scale Learning of Mixture Models

DTF: Deep Tensor Factorization for Predicting Anticancer Drug Synergy

Data Assimilation Methods for Neuronal State and Parameter Estimation

The journal of mathematical neuroscience

Estimating Higher-Order Moments Using Symmetric Tensor Decomposition

SIAM journal on matrix analysis and applications

A Flexible Optimization Framework for Regularized Matrix-Tensor Factorizations With Linear Couplings

IEEE journal of selected topics in signal processing

L1 data fitting for robust reconstruction in magnetic particle imaging: quantitative evaluation on Open MPI dataset

Riemannian preconditioned algorithms for tensor completion via tensor
  ring decomposition

Zero-truncated Poisson regression for sparse multiway count data corrupted by false zeros

An off-the-grid approach to multi-compartment magnetic resonance fingerprinting


Deepdrive is a simulator that allows anyone with a PC to push the state-of-the-art in self-driving

Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation

End-to-end Autonomous Driving: Challenges and Frontiers

ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario
  Simulation and Modeling

OpenPodcar: an Open Source Vehicle for Self-Driving Car Research

Development of a Simulator for Prototyping Reinforcement Learning-Based Autonomous Cars


Html Content / Article Extractor, web scrapping lib in Python

NELA-GT-2020: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles

Sampling the News Producers: A Large News and Feature Data Set for the Study of the Complex Media Landscape

Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks

Real-Time Web Scale Event Summarization Using Sequential Decision Making

NELA-GT-2022: A Large Multi-Labelled News Dataset for The Study of
  Misinformation in News Articles

Creating a Real-Time, Reproducible Event Dataset


A tool for measuring energy consumption of Intel CPUs

CPU Energy Meter: A Tool for Energy-Aware Algorithms Engineering

Tools and Algorithms for Construction and Analysis of Systems

Streaming Encoding Algorithms for Scalable Hyperdimensional Computing

Hardware/Software Solution for Low Power Evaluation of Tsunami Danger

Journal of low power electronics and applications


ILGNet: inception modules with connected local and global features for efficient image aesthetic quality classification using domain adaptation

Distilling Knowledge From Object Classification to Aesthetics Assessment

Efficient Deep Aesthetic Image Classification using Connected Local and Global Features


Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

Evaluating Protein Transfer Learning with TAPE

BERTology Meets Biology: Interpreting Attention in Protein Language Models

ATOM3D: Tasks On Molecules in Three Dimensions

Evolutionary velocity with protein language models

Is Transfer Learning Necessary for Protein Landscape Prediction?

Regression Transformer enables concurrent sequence regression and generation for molecular language modelling

Structure Inducing Pre-Training

A Multimodal Protein Representation Framework for Quantifying Transferability Across Biochemical Downstream Tasks

Align-gram: Rethinking the Skip-gram Model for Protein Sequence Analysis

DeepSecE: A Deep-Learning-Based Framework for Multiclass Prediction of Secreted Proteins in Gram-Negative Bacteria


Deformable ConvNets V2 (DCNv2) in PyTorch

Deformable ConvNets v2: More Deformable, Better Results

ASLFeat: Learning Local Features of Accurate Shape and Localization

Adaptive Context Encoding Module for Semantic Segmentation


multi-dimensional adaptive integration (cubature) in C

Magnon-phonon interactions in magnetic insulators

Erratum to: DYTurbo: fast predictions for Drell–Yan processes

Next-to-Next-to-Leading-Order Radiative Corrections to
  e^+e^-→χ_cJ+γ at B factory

The Journal of high energy physics/The journal of high energy physics

Action-based distribution function modelling for constraining the shape of the Galactic dark matter halo

Monthly Notices of the Royal Astronomical Society

Statistical mechanical analysis of the electromechanical coupling in an electrically-responsive polymer chain

A Fast and Exact w-stacking and w-projection Hybrid Algorithm for Wide-field Interferometric Imaging

The integrated three-point correlation function of cosmic shear

RASCALC: a jackknife approach to estimating single- and multitracer galaxy covariance matrices

Scale-fixed predictions for γ + ηc production in electron-positron collisions at NNLO in perturbative QCD

Updates in SASfit for fitting analytical expressions and numerical models to small-angle scattering patterns


Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

DPM-Solver++: Fast Solver for Guided Sampling of Diffusion Probabilistic
  Models

TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition

Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Models

Diffusion Models and Semi-Supervised Learners Benefit Mutually with Few
  Labels

A Geometric Perspective on Diffusion Models

OMS-DPM: Optimizing the Model Schedule for Diffusion Probabilistic
  Models

SEEDS: Exponential SDE Solvers for Fast High-Quality Sampling from
  Diffusion Models

DPM-Solver-v3: Improved Diffusion ODE Solver with Empirical Model
  Statistics

PFB-Diff: Progressive Feature Blending Diffusion for Text-driven Image
  Editing


Pytorch implementation of baseline models of KQA Pro, a large-scale dataset of complex question answering over knowledge base.

BART: Denoising Sequence-to-Sequence Pre-training for Natural Language
  Generation, Translation, and Comprehension

Modeling Relational Data with Graph Convolutional Networks

KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base

Probing Structured Semantics Understanding and Generation of Language
  Models via Question Answering


A self-supervised domain-general learning framework for human ventral stream representation

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

Video Face Clustering with Unknown Number of Clusters

Understanding Unequal Gender Classification Accuracy from Face Images

On Hallucinating Context and Background Pixels from a Face Mask using Multi-scale GANs

Affect Expression Behaviour Analysis in the Wild using Spatio-Channel
  Attention and Complementary Context Information

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

Composite recurrent network with internal denoising for facial alignment in still and video images in the wild

FRMDB: Face Recognition Using Multiple Points of View

Analyzing the Impact of Shape & Context on the Face Recognition
  Performance of Deep Networks


A Fully Bayesian Inference of Tumor Microenvironment composition and gene expression

Performance of tumour microenvironment deconvolution methods in breast cancer using single-cell simulated bulk mixtures

Single-cell transcriptome analysis reveals the clinical implications of myeloid-derived suppressor cells in head and neck squamous cell carcinoma


This is the code for the paper "Gait Recognition in the Wild with Dense 3D Representations and A Benchmark. (CVPR 2022)", "Gait Recognition in the Wild with Multi-hop Temporal Switch", and "Parsing is All You Need for Accurate Gait Recognition in the Wild".

GaitSet: Regarding Gait as a Set for Cross-View Gait Recognition


AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

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

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

The ACM Multimedia 2022 Computational Paralinguistics Challenge:
  Vocalisations, Stuttering, Activity, & Mosquitoes

Comparison of Speech Representations for Automatic Quality Estimation in Multi-Speaker Text-to-Speech Synthesis

DeepSpectrumLite: A Power-Efficient Transfer Learning Framework for Embedded Speech and Audio Processing From Decentralized Data

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

EURASIP Journal on Audio, Speech, and Music Processing

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

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

The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion
  Share & Requests


Reproduce AlignedReID: Surpassing Human-Level Performance in Person Re-Identification, using Pytorch.

In Defense of the Triplet Loss for Person Re-Identification

Deep Mutual Learning

Apparel-Invariant Feature Learning for Person Re-Identification


A fast safe reinforcement learning library in PyTorch

Datasets and Benchmarks for Offline Safe Reinforcement Learning


Generative Probabilistic Novelty Detection with Adversarial Autoencoders

Autoencoding Under Normalization Constraints

Interpreting rate-distortion of variational autoencoder and using model uncertainty for anomaly detection

What do we learn? Debunking the Myth of Unsupervised Outlier Detection


PyTorch Implementation of the CVPR'19 Paper "Practical Full Resolution Learned Lossless Image Compression"

GOLLIC: Learning Global Context beyond Patches for Lossless
  High-Resolution Image Compression


A repository and benchmark for online test-time adaptation.

Continual Test-Time Domain Adaptation

Robust Mean Teacher for Continual and Gradual Test-Time Adaptation

Introducing Intermediate Domains for Effective Self-Training during
  Test-Time

Universal Test-time Adaptation through Weight Ensembling, Diversity
  Weighting, and Prior Correction


[ICCV 2019] Monocular depth estimation from a single image

Digging Into Self-Supervised Monocular Depth Estimation

Physical Attack on Monocular Depth Estimation with Optimal Adversarial Patches

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

Self-Supervised Monocular Depth and Ego-Motion Estimation in Endoscopy:
  Appearance Flow to the Rescue

SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark Under Multiple Environments

The RoboDepth Challenge: Methods and Advancements Towards Robust Depth
  Estimation

Learning Structured Gaussians to Approximate Deep Ensembles

M4Depth: Monocular depth estimation for autonomous vehicles in unseen
  environments

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions

Integrative Few-Shot Classification and Segmentation for Landslide Detection


This package contains deep learning models and related scripts for RoseTTAFold

Accurate prediction of protein structures and interactions using a three-track neural network

Rethinking Attention with Performers

SE(3)-Transformers: 3D Roto-Translation Equivariant Attention Networks

Improved prediction of protein-protein interactions using AlphaFold2

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

Current progress, challenges, and future perspectives of language models for protein representation and protein design

The transformative power of transformers in protein structure prediction

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

Genome mining reveals abiotic stress resistance genes in plant genomes acquired from microbes via HGT

Beating the Best: Improving on AlphaFold2 at Protein Structure
  Prediction

Systematic Analysis of the Grafting-Related Glucanase-Encoding GH9 Family Genes in Pepper, Tomato and Tobacco


Unsupervised single image depth prediction with CNNs

Unsupervised Monocular Depth Estimation with Left-Right Consistency

Digging Into Self-Supervised Monocular Depth Estimation

Fast End-to-End Trainable Guided Filter

How do neural networks see depth in single images?

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

Quantifying Aleatoric and Epistemic Uncertainty Using Density Estimation in Latent Space.

Adding the Third Dimension to Spatial Relation Detection in 2D Images

International Conference on Natural Language Generation

SpatialVOC2K: A Multilingual Dataset of Images with Annotations and Features for Spatial Relations between Objects

The Fusion Strategy of 2D and 3D Information Based on Deep Learning: A Review

Speed estimation evaluation on the KITTI benchmark based on motion and monocular depth information


This is a Pytorch implementation of deep image blending

Deep Image Blending

TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition

Instance Segmentation of Multiple Myeloma Cells Using Deep-Wise Data Augmentation and Mask R-CNN


Creating quantum circuit diagrams in TikZ

Expressibility and Entangling Capability of Parameterized Quantum Circuits for Hybrid Quantum‐Classical Algorithms

Quantum error correction: an introductory guide

Factoring with qutrits: Shor's algorithm on ternary and metaplectic quantum architectures

Evaluation of parameterized quantum circuits: on the relation between classification accuracy, expressibility, and entangling capability

Protecting quantum memories using coherent parity check codes

Hybrid quantum classical graph neural networks for particle track reconstruction

Logic Synthesis for Quantum Computing

Quantum-accelerated constraint programming

Performance of Particle Tracking Using a Quantum Graph Neural Network

Simulating Majorana zero modes on a noisy quantum processor


Assembler for NVIDIA Maxwell architecture

Tensor Comprehensions: Framework-Agnostic High-Performance Machine Learning Abstractions

Dissecting the NVIDIA Volta GPU Architecture via Microbenchmarking.

Dissecting the NVidia Turing T4 GPU via Microbenchmarking

Modeling Deep Learning Accelerator Enabled GPUs

maxDNN: An Efficient Convolution Kernel for Deep Learning with Maxwell GPUs

Verified instruction-level energy consumption measurement for NVIDIA GPUs

Cimple: Instruction and Memory Level Parallelism

Implementing Strassen’s Algorithm with CUTLASS on NVIDIA Volta GPUs

RegDem: Increasing GPU Performance via Shared Memory Register Spilling

Implementing OpenMP 4.0 for the NVIDIA PTX architecture in GCC compiler

Trudy Instituta sistemnogo programmirovaniâ RAN/Trudy Instituta sistemnogo programmirovaniâ


Stochastic Answer Networks (SAN) for Machine Reading Comprehension

ReCoRD: Bridging the Gap between Human and Machine Commonsense Reading Comprehension.

Stochastic Answer Networks for Machine Reading Comprehension

Conversing by Reading: Contentful Neural Conversation with On-demand Machine Reading

Multi-task Learning with Sample Re-weighting for Machine Reading Comprehension

Stochastic Answer Networks for Natural Language Inference

Stochastic Answer Networks for SQuAD 2.0


PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms

Optimum-statistical Collaboration Towards General and Efficient
  Black-box Optimization

PyXAB – A Python Library for ��-Armed Bandit and Online
  Blackbox Optimization Algorithms

Federated X-Armed Bandit


[Inactive] High quality stemmer library for Indonesian Language (Bahasa)

Classification of hadith into positive suggestion, negative suggestion, and information

Text Mining an Automatic Short Answer Grading (ASAG), Comparison of Three Methods of Cosine Similarity, Jaccard Similarity and Dice's Coefficient

Topic Modeling of Online Media News Titles during COVID-19 Emergency Response in Indonesia Using the Latent Dirichlet Allocation (LDA) Algorithm

Comparison of Effectiveness of Stemming Algorithms in Indonesian Documents

Proceedings of the 2nd Borobudur International Symposium on Science and Technology (BIS-STE 2020)

Hybrid Nearest Neighbors Ant Colony Optimization for Clustering Social Media Comments

Comparative study of standalone classifier and ensemble classifier

Pengaruh Semantic Expansion pada Naïve Bayes Classifier untuk Analisis Sentimen Tokoh Masyarakat

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi)

Analisis Sentimen Masyarakat Dengan Metode Naïve Bayes dan Particle Swarm Optimization


Python bindings around Google Chromium's embedded compact language detection library (CLD2)

OpusTools and Parallel Corpus Diagnostics

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

European Language Resource Coordination: Collecting Language Resources for Public Sector Multilingual Information Management

PROCEEDINGS OF THE ELEVENTH INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION (LREC 2018)

NRC Parallel Corpus Filtering System for WMT 2019

Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)

Softmax Bottleneck Makes Language Models Unable to Represent Multi-mode Word Distributions

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

Tweeting your Destiny: Profiling Users in the Twitter Landscape around an Online Game

The University of Helsinki Submission to the WMT19 Parallel Corpus Filtering Task

The University of Helsinki submissions to the WMT19 news translation task

Improving Parallel Data Identification using Iteratively Refined Sentence Alignments and Bilingual Mappings of Pre-trained Language Models

Empirical Methods in Natural Language Processing

Measuring sentence parallelism using Mahalanobis distances: The NRC unsupervised submissions to the WMT18 Parallel Corpus Filtering shared task

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

Democratizing Neural Machine Translation with OPUS-MT


IDR

Engrafted parenchymal brain macrophages differ from microglia in transcriptome, chromatin landscape and response to challenge

Transcriptional Basis of Mouse and Human Dendritic Cell Heterogeneity

Islands of retroelements are major components of Drosophila centromeres

A Conserved Noncoding Locus Regulates Random Monoallelic Xist Expression across a Topological Boundary

Using 3D epigenomic maps of primary olfactory neuronal cells from living individuals to understand gene regulation

Absence of Tangentially Migrating Glutamatergic Neurons in the Developing Avian Brain

Influenza virus repurposes the antiviral protein IFIT2 to promote translation of viral mRNAs

Multiple roles of H2A.Z in regulating promoter chromatin architecture in human cells

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

Specific enhancer selection by IRF3, IRF5 and IRF9 is determined by ISRE half-sites, 5′ and 3′ flanking bases, collaborating transcription factors and the chromatin environment in a combinatorial fashion


Backpropagation through the Void: Optimizing control variates for black-box gradient estimation

Direct Optimization through max for Discrete Variational Auto-Encoder

ARSM: Augment-REINFORCE-Swap-Merge Estimator for Gradient Backpropagation Through Categorical Variables

GO Gradient for Expectation-Based Objectives


:basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.

YOLOv4: Optimal Speed and Accuracy of Object Detection

OpenPose: Realtime Multi-Person 2D Pose Estimation Using Part Affinity Fields

Simple online and realtime tracking

International Conference on Information Photonics


Repo for the Deep Reinforcement Learning Nanodegree program

Evolutionary learning of interpretable decision trees

Causal Inference Q-Network: Toward Resilient Reinforcement Learning

Training a Resilient Q-network against Observational Interference

Reinforcement Learning and Bandits for Speech and Language Processing:
  Tutorial, Review and Outlook

Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces

Domain-adapted Learning and Interpretability: DRL for Gas Trading


Multi30k Dataset

Unifying Vision-and-Language Tasks via Text Generation

Findings of the Third Shared Task on Multimodal Machine Translation

Good for Misconceived Reasons: An Empirical Revisiting on the Need for Visual Context in Multimodal Machine Translation

Neural Machine Translation: Challenges, Progress and Future

Neural Machine Translation with Phrase-Level Universal Visual Representations

Simultaneous Machine Translation with Visual Context

Vision Matters When It Should: Sanity Checking Multimodal Machine Translation Models

VALHALLA: Visual Hallucination for Machine Translation

Lessons learned in multilingual grounded language learning

Towards Multimodal Simultaneous Neural Machine Translation


Reinforcement learning with unsupervised auxiliary tasks

Deep Reinforcement Learning: An Overview

Reinforcement Learning with Unsupervised Auxiliary Tasks

Crawling in Rogue's dungeons with (partitioned) A3C

Review, Analysis and Design of a Comprehensive Deep Reinforcement
  Learning Framework

Attend Before you Act: Leveraging human visual attention for continual
  learning

Towards designing a generic and comprehensive deep reinforcement learning framework


The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.

Behavioral Use Licensing for Responsible AI

Fairness Testing: A Comprehensive Survey and Analysis of Trends

Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics

When Fair Classification Meets Noisy Protected Attributes

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society

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


PyTorch code for Learning Cooperative Visual Dialog Agents using Deep Reinforcement Learning

Learning Cooperative Visual Dialog Agents with Deep Reinforcement Learning

Offline RL for Natural Language Generation with Implicit Language Q
  Learning

Improving Generative Visual Dialog by Answering Diverse Questions

Answerer in Questioner's Mind: Information Theoretic Approach to Goal-Oriented Visual Dialog

Large-Scale Answerer in Questioner's Mind for Visual Dialog Question Generation


Chinese-LLaMA 1&2、Chinese-Falcon 基础模型；ChatFlow中文对话模型；中文OpenLLaMA模型；NLP预训练/指令微调数据集

Chinese Open Instruction Generalist: A Preliminary Release

Evaluating Large Language Models for Radiology Natural Language Processing

TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models
  of Different Modalities

ChatRadio-Valuer: A Chat Large Language Model for Generalizable
  Radiology Report Generation Based on Multi-institution and Multi-system Data

Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on
  Language, Multimodal, and Scientific GPT Models


A repository of bioinformatic scripts, SOPs, and tutorials for analyzing microbiome data.

Microbiome Helper: a Custom and Streamlined Workflow for Microbiome Research

A Fungal World: Could the Gut Mycobiome Be Involved in Neurological Disease?

Differential Colonization and Succession of Microbial Communities in Rock and Soil Substrates on a Maritime Antarctic Glacier Forefield

Bacterial Dynamics of Wheat Silage

Investigating the Association Between the Caecal Microbiomes of Broilers and Campylobacter Burden

Bacterial Taxa and Functions Are Predictive of Sustained Remission Following Exclusive Enteral Nutrition in Pediatric Crohn's Disease

Atherosclerosis amelioration by allicin in raw garlic through gut microbiota and trimethylamine-N-oxide modulation

Evidence of high N2 fixation rates in the temperate northeast Atlantic

Effect of dietary oil from Camelina sativa on the growth performance, fillet fatty acid profile and gut microbiome of gilthead Sea bream (Sparus aurata)

Characterisation of gut microbiota of obesity and type 2 diabetes in a rodent model

Bioscience of microbiota, food and health


PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

A Simple Framework for Contrastive Learning of Visual Representations

Directional Self-supervised Learning for Heavy Image Augmentations

CorruptEncoder: Data Poisoning based Backdoor Attacks to Contrastive
  Learning


Computer generated building footprints for Canada

A rasterized building footprint dataset for the United States

EarthNets: Empowering AI in Earth Observation

Super-Resolution-based Snake Model -- An Unsupervised Method for Large-Scale Building Extraction using Airborne LiDAR Data and Optical Image

Gridded flood depth estimates from satellite-derived inundations

Natural hazards and earth system sciences


A combination of Autoencoder and Robust PCA

Anomaly Detection with Robust Deep Autoencoders

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

Blind Image Denoising and Inpainting Using Robust Hadamard Autoencoders

AMAD: Adversarial Multiscale Anomaly Detection on High-Dimensional and Time-Evolving Categorical Data

L0-norm Constrained Autoencoders for Unsupervised Outlier Detection

Pacific-Asia Conference on Knowledge Discovery and Data Mining


Official Pytorch Implementation of: "Asymmetric Loss For Multi-Label Classification"(ICCV, 2021) paper

sigmoidF1: A Smooth F1 Score Surrogate Loss for Multilabel
  Classification

Cyclical Focal Loss

MultiGuard: Provably Robust Multi-label Classification against
  Adversarial Examples


Code and documentation to train Stanford's Alpaca models, and generate the data.

LLaMA: Open and Efficient Foundation Language Models

LoRA: Low-Rank Adaptation of Large Language Models

Self-Instruct: Aligning Language Models with Self-Generated Instructions

Visual Instruction Tuning

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging
  Face

LIMA: Less Is More for Alignment

Instruction Tuning with GPT-4

Otter: A Multi-Modal Model with In-Context Instruction Tuning

OpenAssistant Conversations -- Democratizing Large Language Model
  Alignment


Code release for Local Light Field Fusion at SIGGRAPH 2019

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Local Light Field Fusion: Practical View Synthesis with Prescriptive Sampling Guidelines

Point-Based Neural Rendering with Per-View Optimization

Neural 3D Video Synthesis from Multi-view Video


Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

Spectral-Spatial Classification of Hyperspectral Imagery with 3D Convolutional Neural Network

Early brain development in infants at high risk for autism spectrum disorder

Deep Learning in Alzheimer's Disease: Diagnostic Classification and Prognostic Prediction Using Neuroimaging Data

Gabor Filter Assisted Energy Efficient Fast Learning Convolutional Neural Networks

International Symposium on Low Power Electronics and Design

A brief survey on deep belief networks and introducing a new object oriented MATLAB toolbox (DeeBNet).

Multiplier-less Artificial Neurons Exploiting Error Resiliency for Energy-Efficient Neural Computing

A Deep Convolutional Auto-Encoder with Pooling - Unpooling Layers in Caffe

Creation of a Deep Convolutional Auto-Encoder in Caffe

Fast and Efficient Asynchronous Neural Computation with Adapting Spiking Neural Networks

Plant Electrical Signal Classification Based on Waveform Similarity


Grounded Language-Image Pre-training

Grounded Language-Image Pre-training

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set
  Object Detection

ViperGPT: Visual Inference via Python Execution for Reasoning

GLIPv2: Unifying Localization and Vision-Language Understanding

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

Evaluating Large-Vocabulary Object Detectors: The Devil is in the Details

DesCo: Learning Object Recognition with Rich Language Descriptions

Towards Truly Zero-shot Compositional Visual Reasoning with LLMs as
  Programmers

Towards Robust Multi-Modal Reasoning via Model Selection


NuCypher fully homomorphic encryption (NuFHE) library implemented in Python

HEAX: An Architecture for Computing on Encrypted Data

ARK: Fully Homomorphic Encryption Accelerator with Runtime Data Generation and Inter-Operation Key Reuse

Accelerating Encrypted Computing on Intel GPUs

MemFHE: End-to-End Computing with Fully Homomorphic Encryption in Memory

FPT: a Fixed-Point Accelerator for Torus Fully Homomorphic Encryption

SoK: Fully Homomorphic Encryption Accelerators

Strix: An End-to-End Streaming Architecture with Two-Level Ciphertext
  Batching for Fully Homomorphic Encryption with Programmable Bootstrapping

ArctyrEX : Accelerated Encrypted Execution of General-Purpose
  Applications


Microsoft Azure Traces

Serverless in the Wild: Characterizing and Optimizing the Serverless Workload at a Large Cloud Provider

Correlation-Aware Heuristic Search for Intelligent Virtual Machine Provisioning in Cloud Systems

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

Traffic generation for benchmarking data centre networks

Let's Trace It: Fine-Grained Serverless Benchmarking using Synchronous
  and Asynchronous Orchestrated Applications

Wasserstein Adversarial Transformer for Cloud Workload Prediction

Constructing Large-Scale Real-World Benchmark Datasets for AIOps

Modeling Conceptual Characteristics of Virtual Machines for CPU Utilization Prediction

C2FAR: Coarse-to-Fine Autoregressive Networks for Precise Probabilistic
  Forecasting

A Testbed for Carbon-Aware Applications and Systems

One for All: Unified Workload Prediction for Dynamic Multi-tenant Edge Cloud Platforms

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


OCR toolbox from Davar-Lab

Text Perceptron: Towards End-to-End Arbitrary-Shaped Text Spotting

TRIE: End-to-End Text Reading and Information Extraction for Document Understanding

MANGO: A Mask Attention Guided One-Stage Scene Text Spotter

LGPMA: Complicated Table Structure Recognition with Local and Global Pyramid Mask Alignment

VSR: A Unified Framework for Document Layout Analysis combining Vision, Semantics and Relations

You Only Recognize Once: Towards Fast Video Text Spotting

SPIN: Structure-Preserving Inner Offset Network for Scene Text Recognition

Reciprocal Feature Learning via Explicit and Implicit Tasks in Scene Text Recognition

Modeling Entities as Semantic Points for Visual Information Extraction in the Wild

DavarOCR: A Toolbox for OCR and Multi-Modal Document Understanding


Learning to Parse Wireframes in Images of Man-Made Environments

Learning Attraction Field Representation for Robust Line Segment Detection

TP-LSD: Tri-Points Based Line Segment Detector

Learning Regional Attraction for Line Segment Detection

IEEE transactions on pattern analysis and machine intelligence

Wide-Angle Image Rectification: A Survey

Wireframe Parsing With Guidance of Distance Map

MCMLSD: A Probabilistic Algorithm and Evaluation Framework for Line Segment Detection

A Comprehensive Review of Image Line Segment Detection and Description:
  Taxonomies, Comparisons, and Challenges


Code for the paper "DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks" (ICCV '19)

International Conference on Computer Vision

Can You Read Me Now? Content Aware Rectification using Angle Supervision

Marior: Margin Removal and Iterative Content Rectification for Document Dewarping in the Wild


Learned in Translation: Contextualized Word Vectors

What do you learn from context? Probing for sentence structure in contextualized word representations

Stochastic Answer Networks for Machine Reading Comprehension

Stochastic Answer Networks for SQuAD 2.0

Improving Matching Models with Hierarchical Contextualized Representations for Multi-turn Response Selection

Improving Matching Models with Contextualized Word Representations for Multi-turn Response Selection in Retrieval-based Chatbots.

SNU_IDS at SemEval-2018 Task 12: Sentence Encoder with Contextualized Vectors for Argument Reasoning Comprehension


Segment Anything Labelling Tool

Domain Generalization for Crop Segmentation with Knowledge Distillation

VDD: Varied Drone Dataset for Semantic Segmentation

NeuralLabeling: A versatile toolset for labeling vision datasets using
  Neural Radiance Fields


RandLA-Net in Tensorflow (CVPR 2020, Oral & IEEE TPAMI 2021)

RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds

Learning Semantic Segmentation of Large-Scale Point Clouds With Random Sampling

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds

OpenGF: An Ultra-Large-Scale Ground Filtering Dataset Built Upon Open ALS Point Clouds Around the World

Benchmarking the Robustness of LiDAR Semantic Segmentation Models

Automatic labelling of urban point clouds using data fusion

Language-Level Semantics Conditioned 3D Point Cloud Segmentation

On Adversarial Robustness of Point Cloud Semantic Segmentation


LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

BALM: Bundle Adjustment for Lidar Mapping

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

Autonomous Exploration Development Environment and the Planning Algorithms

P3-LOAM: PPP/LiDAR Loosely Coupled SLAM with Accurate Covariance
  Estimation and Robust RAIM in Urban Canyon Environment

Multi-Modal Lidar Dataset for Benchmarking General-Purpose Localization and Mapping Algorithms


RhythmNet: End-to-End Heart Rate Estimation From Face via Spatial-Temporal Representation

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

Cross-domain Face Presentation Attack Detection via Multi-domain Disentangled Representation Learning

VIPL-HR: A Multi-modal Database for Pulse Estimation from Less-constrained Face Video

Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling

Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition

Multi-Block Color-Binarized Statistical Images for Single-Sample Face Recognition

FCSR-GAN: Joint Face Completion and Super-Resolution via Multi-Task Learning

Towards Real-Time Eyeblink Detection in the Wild: Dataset, Theory and Practices

Ordinal distribution regression for gait-based age estimation

Investigation of Multimodal Features, Classifiers and Fusion Methods for
  Emotion Recognition


3D ResNets for Action Recognition (CVPR 2018)

Can Spatiotemporal 3D CNNs Retrace the History of 2D CNNs and ImageNet?

ON THE EFFECTIVENESS OF TASK GRANULARITY FOR TRANSFER LEARNING

Using 3D Convolutional Neural Networks to Learn Spatiotemporal Features for Automatic Surgical Gesture Recognition in Video

Would Mega-scale Datasets Further Enhance Spatiotemporal 3D CNNs?

STAIR Actions: A Video Dataset of Everyday Home Actions

VidLanKD: Improving Language Understanding via Video-Distilled Knowledge Transfer

Video Content Analysis for Compliance Audit in Finance and Security Industry

Multimodal Co-Training for Selecting Good Examples from Webly Labeled Video.

Advancing 3D medical image analysis with variable dimension transform based supervised 3D pre-training

Efficient Robustness Assessment via Adversarial Spatial-Temporal Focus on Videos


Handwritten Text Recognition (HTR) Project using TensorFlow

Towards the Natural Language Processing as Spelling Correction for Offline Handwritten Text Recognition Systems

HTR for Greek Historical Handwritten Documents

A Lexicon and Depth-wise Separable Convolution Based Handwritten Text
  Recognition System

Handwritten text generation and strikethrough characters augmentation

Lexicon and Attention based Handwritten Text Recognition System


Simulation environment for collision avoidance

Socially Aware Motion Planning with Deep Reinforcement Learning

Motion Planning Among Dynamic, Decision-Making Agents with Deep Reinforcement Learning

Towards Optimally Decentralized Multi-Robot Collision Avoidance via Deep Reinforcement Learning

Collision Avoidance in Pedestrian-Rich Environments With Deep Reinforcement Learning

Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning

Principles and Guidelines for Evaluating Social Robot Navigation Algorithms


ConceptNet 5.5: An Open Multilingual Graph of General Knowledge

TechNet: Technology semantic network based on patent data

ConceptNet at SemEval-2017 Task 2: Extending Word Embeddings with Multilingual Relational Knowledge

Meeting of the Association for Computational Linguistics

An Ensemble Method to Produce High-Quality Word Embeddings

XL-AMR: Enabling Cross-Lingual AMR Parsing with Transfer Learning Techniques

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

Enhance word representation for out-of-vocabulary on Ubuntu dialogue corpus

Comparative Analysis of Word Embeddings for Capturing Word Similarities

Zenodo (CERN European Organization for Nuclear Research)

Cross-lingual Document Retrieval using Regularized Wasserstein Distance

A Study on Efficiency, Accuracy and Document Structure for Answer Sentence Selection

Commonsense Reasoning Using Theorem Proving and Machine Learning

MACHINE LEARNING AND KNOWLEDGE EXTRACTION, CD-MAKE 2019