SMILI: Sparse Modeling Imaging Library for Interferometry

First M87 Event Horizon Telescope Results. IV. Imaging the Central Supermassive Black Hole

Black Hole Spin Signature in the Black Hole Shadow of M87 in the Flaring State

Imaging black holes and jets with a VLBI array including multiple space-based telescopes

A ring-like accretion structure in M87 connecting its black hole and jet

The Intrinsic Structure of Sagittarius A* at 1.3 cm and 7 mm

Reproducibility of the First Image of a Black Hole in the Galaxy M87 From the Event Horizon Telescope Collaboration

Software and Techniques for VLBI Data Processing and Analysis

Exploring Regularized Maximum Likelihood Reconstruction for Stellar
  Imaging with the ngVLA

Filamentary structures as the origin of blazar jet radio variability


Multipurpose Multi Speaker Mixture Signal Generator

Deep clustering: Discriminative embeddings for segmentation and separation

SMS-WSJ: Database, performance measures, and baseline recipe for multi-channel source separation and recognition

Improving the Naturalness of Simulated Conversations for End-to-End Neural Diarization

MMS-MSG: A Multi-purpose Multi-Speaker Mixture Signal Generator


mathLab mirror of Python Dynamic Mode Decomposition

Dynamic Mode Decomposition: Data-Driven Modeling of Complex Systems

DYNAMIC MODE DECOMPOSITION: DATA-DRIVEN MODELING OF COMPLEX SYSTEMS

The Optimal Hard Threshold for Singular Values is 4/sqrt(3)

Multiresolution Dynamic Mode Decomposition

De-biasing the dynamic mode decomposition for applied Koopman spectral analysis of noisy datasets

Theoretical and computational fluid dynamics

Characterizing and correcting for the effect of sensor noise in the dynamic mode decomposition

Higher Order Dynamic Mode Decomposition

SIAM journal on applied dynamical systems

Modern Koopman Theory for Dynamical Systems

Compressed dynamic mode decomposition for background modeling

PyDMD: Python Dynamic Mode Decomposition

Shape Optimization by Means of Proper Orthogonal Decomposition and Dynamic Mode Decomposition


Pathways for Renewable Energy Planning coupling Short-term Hydropower OperaTion

Balancing-oriented hydropower operation makes the clean energy transition more affordable and simultaneously boosts water security


BERT with SentencePiece for Japanese text.

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

Pre-training Polish Transformer-based Language Models at Scale

Automated Essay Scoring System for Nonnative Japanese Learners

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


Population genetics analyses from NGS data

pixy: Unbiased estimation of nucleotide diversity and divergence in the presence of missing data

Locally Adaptive Inversions Modulate Genetic Variation at Different Geographic Scales in a Seaweed Fly

Comparative analysis examining patterns of genomic differentiation across multiple episodes of population divergence in birds

Pervasive hybridization with local wild relatives in Western European grapevine varieties

Recurrent selection and reduction in recombination shape the genomic landscape of divergence across multiple population pairs of Green-backed Tit


A neural network architecture for NLP tasks, using cython for fast performance. Currently, it can perform POS tagging, SRL and dependency parsing.

Mac-Morpho Revisited: Towards Robust Part-of-Speech Tagging

Brazilian Symposium in Information and Human Language Technology

A Graph Database Representation of Portuguese Criminal-Related Documents

A Deep Architecture for Non-Projective Dependency Parsing

North American Chapter of the Association for Computational Linguistics

An Annotated Corpus of Crime-Related Portuguese Documents for NLP and Machine Learning Processing

International Conference on Data Technologies and Applications


A challenge on the mapping of satellite altimeter sea surface height data organised by MEOM@IGE, Ocean-Next and CLS.

Spatial and Temporal Variability of the North Atlantic Eddy Field From Two Kilometric‐Resolution Ocean Models

Multimodal 4DVarNets for the Reconstruction of Sea Surface Dynamics From SST-SSH Synergies

4DVarNet-SSH: end-to-end learning of variational interpolation schemes for nadir and wide-swath satellite altimetry

Multimodal learning-based inversion models for the space-time
  reconstruction of satellite-derived geophysical fields

Inversion of sea surface currents from satellite-derived SST-SSH synergies with 4DVarNets


A repository for financial fraud detection

Credit Card Fraud Detection Using Convolutional Neural Networks

NEURAL INFORMATION PROCESSING, ICONIP 2016, PT III

Graph Neural Network for Fraud Detection via Spatial-Temporal Attention

IEEE transactions on knowledge and data engineering

Spatio-Temporal Attention-Based Neural Network for Credit Card Fraud Detection

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

Semi-supervised Credit Card Fraud Detection via Attribute-Driven Graph Representation

Proceedings of the AAAI Conference on Artificial Intelligence


The Financial Document Causality Detection Shared Task (FinCausal 2020)

The Financial Causality Extraction Shared Task (FinCausal 2022)

JDD @ FinCausal 2020, Task 2: Financial Document Causality Detection

Fraunhofer IAIS at FinCausal 2020, Tasks 1 & 2: Using Ensemble Methods and Sequence Tagging to Detect Causality in Financial Documents

Domino at FinCausal 2020, Task 1 and 2: Causal Extraction System


Korean BART

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

Towards standardizing Korean Grammatical Error Correction: Datasets and Annotation

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


A PyTorch-powered differentiable image reconstruction/optimization toolbox

B-Spline Parameterized Joint Optimization of Reconstruction and K-Space Trajectories (BJORK) for Accelerated 2D MRI

Efficient Sum of Outer Products Dictionary Learning (SOUP-DIL) and Its Application to Inverse Problems

IEEE transactions on computational imaging

Efficient Approximation of Jacobian Matrices Involving a Non-Uniform Fast Fourier Transform (NUFFT)

Stochastic Optimization of 3D Non-Cartesian Sampling Trajectory (SNOPY)


DeepErwin is a python 3.8+ package that implements and optimizes JAX 2.x wave function models for numerical solutions to the multi-electron Schrödinger equation. DeepErwin supports weight-sharing when optimizing  wave functions for multiple nuclear geometries and the usage of pre-trained neural network weights to accelerate optimization.

Solving the electronic Schrödinger equation for multiple nuclear geometries with weight-sharing deep neural networks

Gold-standard solutions to the Schrödinger equation using deep
  learning: How much physics do we need?

Towards a Foundation Model for Neural Network Wavefunctions

Variational Monte Carlo on a Budget -- Fine-tuning pre-trained Neural
  Wavefunctions


Statistical Analysis of RNA-Seq Tools

Quality control of transcription start site selection by nonsense-mediated-mRNA decay

A simple guide to de novo transcriptome assembly and annotation


Tools for working with the @ESAGaia data and related data sets

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

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

Vertical waves in the solar neighbourhood in Gaia DR2

Stellar inventory of the solar neighbourhood using Gaia DR1

Using Gaia DR2 to Constrain Local Dark Matter Density and Thin Dark Disk

Journal of Cosmology and Astroparticle Physics

Tracing the Hercules stream with Gaia and LAMOST: new evidence for a fast bar in the Milky Way

Monthly Notices of the Royal Astronomical Society: Letters

Kinematic structures of the solar neighbourhood revealed by Gaia DR1/TGAS and RAVE

The stellar mass of the Gaia-Sausage/Enceladus accretion remnant


Code release for "Cut and Learn for Unsupervised Object Detection and Instance Segmentation" and "VideoCutLER: Surprisingly Simple Unsupervised Video Instance Segmentation"

Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour


Home of the Semi-Analytic Galaxy Evolution (SAGE) galaxy formation model

SEMI-ANALYTIC GALAXY EVOLUTION (SAGE): MODEL CALIBRATION AND BASIC RESULTS

Building disc structure and galaxy properties through angular momentum: the DARK SAGE semi-analytic model

MULTIDARK-GALAXIES: Data release and first results

THE THEORETICAL ASTROPHYSICAL OBSERVATORY: CLOUD-BASED MOCK GALAXY CATALOGS

Physical drivers of galaxies' cold-gas content: exploring environmental and evolutionary effects with DARK SAGE

The origin of dust in galaxies across cosmic time

Monthly notices of the Royal Astronomical Society

The 21 cm bispectrum during reionization: a tracer of the ionization topology

The many lives of active galactic nuclei–II: The formation and evolution of radio jets and their impact on galaxy evolution

The escape fraction of ionizing photons during the Epoch of Reionization: observability with the Square Kilometre Array

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


A flexible MPS framework

QuickSampling v1.0: a robust and simplified pixel-based multiple-point simulation approach

Nonstationary stochastic rain type generation: accounting for climate drivers

Quantile Sampling: a robust and simplified pixel-based multiple-point simulation approach


Examples, tutorials and use cases for Marian, including our WMT-2017/18 baselines.

The Sockeye 2 Neural Machine Translation Toolkit at AMTA 2020

Hybrid Data-Model Parallel Training for Sequence-to-Sequence Recurrent Neural Network Machine Translation

Robust Neural Machine Translation: Modeling Orthographic and Interpunctual Variation

Machine Translation Customization via Automatic Training Data Selection from the Web

The University of Helsinki submissions to the IWSLT 2018 low-resource translation task

International Workshop on Spoken Language Translation


Distantly Supervised Relation Extraction

CoType: Joint Extraction of Typed Entities and Relations with Knowledge Bases

Extracting Entities and Relations with Joint Minimum Risk Training

Empirical Methods in Natural Language Processing

Seq2RDF: An end-to-end application for deriving Triples from Natural Language Text

Relabel the Noise: Joint Extraction of Entities and Relations via Cooperative Multiagents

Meta-Learning for Neural Relation Classification with Distant Supervision

International Conference on Information and Knowledge Management

Indirect Supervision for Relation Extraction using Question-Answer Pairs

BiTT: Bidirectional Tree Tagging for Joint Extraction of Overlapping Entities and Relations.

Causality extraction model based on two-stage GCN


GraphGallery is a gallery for benchmarking Graph Neural Networks, From InplusLab.

Robust Graph Convolutional Networks Against Adversarial Attacks

All You Need Is Low (Rank): Defending Against Adversarial Attacks on Graphs

GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software

Robust graph convolutional networks with directional graph adversarial training


iFEM is a MATLAB software package containing robust, efficient, and easy-following codes for the main building blocks of adaptive finite element methods on unstructured simplicial grids in both two and three dimensions.

Choose a Transformer: Fourier or Galerkin

MooAFEM: An object oriented Matlab code for higher-order adaptive FEM for (nonlinear) elliptic PDEs

Error Analysis of a Decoupled Finite Element Method for Quad-Curl Problems

A new numerical method for div-curl systems with low regularity assumptions

A Bootstrap Multigrid Eigensolver

A simple virtual element-based flux recovery on quadtree


High throughput protein function annotation with Human Readable Description (HRDs) and Gene Ontology (GO) Terms.

The genome sequences of Arachis duranensis and Arachis ipaensis, the diploid ancestors of cultivated peanut

Durum wheat genome highlights past domestication signatures and future improvement targets

The genome sequence of segmental allotetraploid peanut Arachis hypogaea

Transcriptome and methylome profiling reveals relics of genome dominance in the mesopolyploid Brassica oleracea

Insight into the evolution of the Solanaceae from the parental genomes of Petunia hybrida

The barley pan-genome reveals the hidden legacy of mutation breeding

Towards a whole‐genome sequence for rye (Secale cereale L.)

The Plant journal : for cell and molecular biology

De-novo assembly of zucchini genome reveals a whole genome duplication associated with the origin of the Cucurbita genus

Cucurbit Genomics Database (CuGenDB): a central portal for comparative and functional genomics of cucurbit crops

Draft genome of spinach and transcriptome diversity of 120 Spinacia accessions


Experimental pipeline for correcting nanopore reads

A complete bacterial genome assembled de novo using only nanopore sequencing data

Oxford Nanopore MinION Sequencing and Genome Assembly

基因组蛋白质组与生物信息学报

The genome of the soybean cyst nematode (Heterodera glycines) reveals complex patterns of duplications involved in the evolution of parasitism genes

Assessing the utility of the Oxford Nanopore MinION for snake venom gland cDNA sequencing

Constructing a Reference Genome in a Single Lab: The Possibility to Use Oxford Nanopore Technology


For shallow-water Lagrangian particle routing.


Python toolbox for sampling Determinantal Point Processes

Determinantal Point Processes for Machine Learning

Foundations and trends in machine learning

Rates of Convergence for Sparse Variational Gaussian Process Regression

Monte Carlo with determinantal point processes

The Annals of applied probability/The annals of applied probability

DGCN: Diversified Recommendation with Graph Convolutional Networks

Exact sampling of determinantal point processes with sublinear time preprocessing

DPPy: Sampling DPPs with Python

Improved guarantees and a multiple-descent curve for Column Subset Selection and the Nystrom method

SONYC-UST-V2: An Urban Sound Tagging Dataset with Spatiotemporal Context

On two ways to use determinantal point processes for Monte Carlo integration

A determinantal point process for column subset selection


Full-stack quantum processing toolkit

staq—A full-stack quantum processing toolkit

A MLIR Dialect for Quantum Assembly Languages

Secure quantum computing for healthcare sector: A short analysis


Python module for the analysis of light curves from the ESA Cheops mission

The CHEOPS Mission

IEEE International Workshop on Metrology for AeroSpace

Six transiting planets and a chain of Laplace resonances in TOI-178

The hot dayside and asymmetric transit of WASP-189 b seen by CHEOPS

CHEOPS observations of the HD 108236 planetary system: a fifth planet, improved ephemerides, and planetary radii

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

A pair of sub-Neptunes transiting the bright K-dwarf TOI-1064 characterized with CHEOPS

WASP-186 and WASP-187: two hot Jupiters discovered by SuperWASP and SOPHIE with additional observations by TESS

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

Exploiting timing capabilities of the CHEOPS mission with warm-Jupiter planets

A transit survey to search for planets around hot subdwarfs: I. methods and performance tests on light curves from Kepler, K2, TESS, and CHEOPS

Keele Research Repository (Keele University)


Fastest-lap is a vehicle dynamics simulator. It can be used to understand vehicle dynamics, to learn about driving techniques, to design car prototypes, or just for fun!

Time-optimal control of the race car: a numerical method to emulate the ideal driver

Vehicle system dynamics/Vehicle System Dynamics

Minimum time optimal control simulation of a GP2 race car

Proceedings of the Institution of Mechanical Engineers. Part D, Journal of automobile engineering

Optimal tyre usage for a Formula One car

Lap time optimisation of a racing go-kart

A Symbolic Approach to the Multibody Modeling of Road Vehicles

International journal of applied mechanics


Train, evaluate, and use different unsupervised topic modelling algorithms using a RESTful API.

Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence

Measuring the diffusion of innovations with paragraph vector topic models

Apples to Apples: A Systematic Evaluation of Topic Models

Recent Advances in Natural Language Processing

TOMODAPI: A Topic Modeling API to Train, Use and Compare Topic Models

Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)

A Survey on Neural Topic Models: Methods, Applications, and Challenges


A community repository for benchmarking Bayesian methods

Gaussian Processes for Big Data

Inference in Deep Gaussian Processes using Stochastic Gradient Hamiltonian Monte Carlo

Differentiable Compositional Kernel Learning for Gaussian Processes

Structured Variational Learning of Bayesian Neural Networks with Horseshoe Priors

Parametric Gaussian Process Regressors

Gaussian Process Conditional Density Estimation

Bayesian Model Selection, the Marginal Likelihood, and Generalization

Orthogonally Decoupled Variational Gaussian Processes

Additive Gaussian Processes Revisited

Tighter Bounds on the Log Marginal Likelihood of Gaussian Process Regression Using Conjugate Gradients


Code for efficiently computing 2-point and 3-point correlation functions. For documentation, go to

Dark Energy Survey Year 1 results: Cosmological constraints from cosmic shear

The first-year shear catalog of the Subaru Hyper Suprime-Cam Subaru Strategic Program Survey

Publications of the Astronomical Society of Japan

KiDS plus GAMA: cosmology constraints from a joint analysis of cosmic shear, galaxy-galaxy lensing, and angular clustering

Monthly Notices of the Royal Astronomical Society

Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to modeling uncertainty

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

Dark Energy Survey year 1 results: Galaxy clustering for combined probes

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

Cosmic shear measurements with Dark Energy Survey Science Verification data

Dark Energy Survey year 1 results: Galaxy-galaxy lensing

KiDS-1000 methodology: Modelling and inference for joint weak gravitational lensing and spectroscopic galaxy clustering analysis


Data, tools, and documentation of the Fusion 360 Gallery Dataset

BRepNet: A topological message passing system for solid models

JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints


Python package for analysing and visualising brain connectome data

A practical guide to linking brain-wide gene expression and neuroimaging data

Functional network resilience to pathology in presymptomatic genetic frontotemporal dementia

Computer Vision Evidence Supporting Craniometric Alignment of Rat Brain Atlases to Streamline Expert-Guided, First-Order Migration of Hypothalamic Spatial Datasets Related to Behavioral Control

Altered network stability in progressive supranuclear palsy

Application of Computational Biology to Decode Brain Transcriptomes

基因组蛋白质组与生物信息学报

Synaptic density affects clinical severity via network dysfunction in syndromes associated with frontotemporal lobar degeneration


A series of large language models developed by Baichuan Intelligent Technology

Measuring Massive Multitask Language Understanding

What Disease does this Patient Have? A Large-scale Open Domain Question Answering Dataset from Medical Exams

Baichuan 2: Open Large-scale Language Models

Skywork: A More Open Bilingual Foundation Model

Improving Biomedical Abstractive Summarisation with Knowledge Aggregation from Citation Papers

Understanding LLMs: A Comprehensive Overview from Training to Inference

AviationGPT: A Large Language Model for the Aviation Domain


Tools for visualising microbial community amplicon data

ampvis2: an R package to analyse and visualise 16S rRNA amplicon data

Connecting structure to function with the recovery of over 1000 high-quality metagenome-assembled genomes from activated sludge using long-read sequencing

High Diversity and Functional Potential of Undescribed “Acidobacteriota” in Danish Wastewater Treatment Plants

Entomopathogenic nematode-associated microbiota: from monoxenic paradigm to pathobiome


ChEMBL database structure pipelines

QMugs: Quantum Mechanical Properties of Drug-like Molecules

The eTRANSAFE Project on Translational Safety Assessment through Integrative Knowledge Management: Achievements and Perspectives

Informed classification of sweeteners/bitterants compounds via explainable machine learning

CYPstrate: A Set of Machine Learning Models for the Accurate Classification of Cytochrome P450 Enzyme Substrates and Non-Substrates

Augmenting a training dataset of the generative diffusion model for molecular docking with artificial binding pockets


Julia Package for computing [controlled] invariant sets of Hybrid Systems using Sum Of Squares Programming

Computing controlled invariant sets for hybrid systems with applications to model-predictive control

Certifying Unstability of Switched Systems Using Sum of Squares Programming

An Entropy-Based Bound for the Computational Complexity of a Switched System

Piecewise Semi-Ellipsoidal Control Invariant Sets


Modelling primary beams of radio astronomy antennas

Primary beam effects of radio astronomy antennas - II. Modelling MeerKAT L-band beams

The flickering nuclear activity of Fornax A

H i intensity mapping with MeerKAT: primary beam effects on foreground cleaning

Radio footprints of a minor merger in the Shapley Supercluster: From supercluster down to galactic scales

Mining mini-halos with MeerKAT I. Calibration and imaging


Pytorch 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

Deeply-Supervised Nets

Models Genesis: Generic Autodidactic Models for 3D Medical Image Analysis

Models Genesis

Transferable Visual Words: Exploiting the Semantics of Anatomical Patterns for Self-Supervised Learning

Learning Semantics-enriched Representation via Self-discovery, Self-classification, and Self-restoration

Exploring the U-Net++ Model for Automatic Brain Tumor Segmentation

Deep Learning Using Augmentation via Registration: 1st Place Solution to the AutoImplant 2020 Challenge

Towards the Automatization of Cranial Implant Design in Cranioplasty

Fast and Accurate 3D Medical Image Segmentation with Data-swapping
  Method

Brain Tumor Segmentation Using Partial Depthwise Separable Convolutions

Cardiac MRI Image Segmentation for Left Ventricle and Right Ventricle using Deep Learning


The Kyoto Text Analysis Toolkit for word segmentation and pronunciation estimation, etc.

Beyond English-Centric Multilingual Machine Translation

Generating Diverse Translations via Weighted Fine-tuning and Hypotheses Filtering for the Duolingo STAPLE Task

Workshop on Neural Generation and Translation

Translating Headers of Tabular Data: A Pilot Study of Schema Translation

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing


The 'exploitable' GDB plugin

The Art, Science, and Engineering of Fuzzing: A Survey

Chaff Bugs: Deterring Attackers by Making Software Buggier

Sydr-Fuzz: Continuous Hybrid Fuzzing and Dynamic Analysis for Security Development Lifecycle

MoonLight: Effective Fuzzing with Near-Optimal Corpus Distillation.

CASR: core dump analysis and severity reporter tool

Труды Института системного программирования РАН


evm binary static analysis

Empirical Review of Automated Analysis Tools on 47,587 Ethereum Smart Contracts

International Conference on Software Engineering

SAILFISH: Vetting Smart Contract State-Inconsistency Bugs in Seconds

An Analysis of Smart Contracts Security Threats Alongside Existing Solutions

Precise static modeling of Ethereum “memory”

Proceedings of the ACM on programming languages


A simple python implementation of Fuzzy C-means algorithm.

Robust Representation and Efficient Feature Selection Allows for Effective Clustering of SARS-CoV-2 Variants

Gene-Based Clustering Algorithms: Comparison Between Denclue, Fuzzy-C, and BIRCH

Transfer operators from optimal transport plans for coherent set detection

Analisis Data Log IDS Snort dengan Algoritma Clustering Fuzzy C-Means

Majalah Ilmiah Teknologi Elektro/Majalah ilmiah teknologi elektro

Comparative Analysis between the k-means and Fuzzy c-means Algorithms to Detect UDP Flood DDoS Attack on a SDN/NFV Environment

PROCEEDINGS OF THE 16TH INTERNATIONAL CONFERENCE ON WEB INFORMATION SYSTEMS AND TECHNOLOGIES (WEBIST)

Fuzzy Clustering with Similarity Queries


SCOPE is a simulation model for radiative transfer, photosynthesis and energy fluxes in vegetation and soil.

Sun-induced fluorescence and gross primary productivity during a heat wave

Optimal inverse estimation of ecosystem parameters from observations of carbon and energy fluxes


PCAtools: everything Principal Components Analysis

Itaconate and derivatives reduce interferon responses and inflammation in influenza A virus infection

Differential expressions of anthocyanin synthesis genes underlie flower color divergence in a sympatric Rhododendron sanguineum complex

Systems level profiling of chemotherapy-induced stress resolution in cancer cells reveals druggable trade-offs

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

Analysis of Systemic Epigenetic Alterations in Inflammatory Bowel Disease: Defining Geographical, Genetic and Immune-Inflammatory influences on the Circulating Methylome

Flexible analysis of TSS mapping data and detection of TSS shifts with TSRexploreR

Integrated Analysis of a Risk Score System Predicting Prognosis and a ceRNA Network for Differentially Expressed lncRNAs in Multiple Myeloma

Myelin insulation as a risk factor for axonal degeneration in autoimmune demyelinating disease

Gene expression patterns of red sea urchins (Mesocentrotus franciscanus) exposed to different combinations of temperature and pCO2 during early development

Patient-Derived Xenografts and Organoids Recapitulate Castration-Resistant Prostate Cancer with Sustained Androgen Receptor Signaling

Transposable elements are associated with the variable response to influenza infection


Combine images made with different resolutions, including the "feathering" technique for interferometry data.

Kinematics of the atomic ISM in M33 on 80 pc scales

Monthly notices of the Royal Astronomical Society

Relationship between the line width of the atomic and molecular ISM in M33

A lack of constraints on the cold opaque H i mass: H i spectra in M31 and M33 prefer multicomponent models over a single cold opaque component

The MUSTANG Galactic Plane Survey (MGPS90) Pilot

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

FEASTS: IGM Cooling Triggered by Tidal Interactions through the Diffuse H i Phase around NGC 4631

Synthetic Next Generation Very Large Array line observations of a massive star-forming cloud

Filaments in the OMC-3 cloud and uncertainties in estimates of filament profiles


KoAlpaca: 한국어 명령어를 이해하는 오픈소스 언어모델

LLaMA: Open and Efficient Foundation Language Models

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

KoBBQ: Korean Bias Benchmark for Question Answering


Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

Cancer Diagnosis Using Deep Learning: A Bibliographic Review

FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in
  Realistic Healthcare Settings

Breast Cancer Dataset, Classification and Detection Using Deep Learning

IDMIL: an alignment-free Interpretable Deep Multiple Instance Learning (MIL) for predicting disease from whole-metagenomic data

Interpretable and Interactive Deep Multiple Instance Learning for Dental
  Caries Classification in Bitewing X-rays


add statistical annotations (pvalue significance) on an existing boxplot generated by seaborn boxplot

Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning

Methylation of Salmonella Typhimurium flagella promotes bacterial adhesion and host cell invasion

Measurement of Cellular Immune Response to Viral Infection and Vaccination

Comprehensive characterization of the antibody responses to SARS-CoV-2 Spike protein finds additional vaccine-induced epitopes beyond those for mild infection

Fish primary embryonic pluripotent cells assemble into retinal tissue mirroring in vivo early eye development

Temporal derivative computation in the dorsal raphe network revealed by an experimentally driven augmented integrate-and-fire modeling framework

Silent gene clusters encode magnetic organelle biosynthesis in a non-magnetotactic phototrophic bacterium

Combined computational modeling and experimental analysis integrating chemical and mechanical signals suggests possible mechanism of shoot meristem maintenance

Papillary Thyroid Carcinoma Tissue miR-146b, -21, -221, -222, -181b Expression in Relation with Clinicopathological Features

A hybridization target enrichment approach for pathogen genomics


Python package for modeling structural color in colloidal systems

Designing angle-independent structural colors using Monte Carlo simulations of multiple scattering

Using Photonic Glasses as Colored Covers for Solar Energy Harvesting

Predicting the Structural Colors of Films of Disordered Photonic Balls


PyTorch implementation of soft actor critic

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Soft Actor-Critic Algorithms and Applications

Variational Inference MPC for Bayesian Model-based Reinforcement Learning

Online Meta-Critic Learning for Off-Policy Actor-Critic Methods

Deep Radial-Basis Value Functions for Continuous Control

Transfer RL across Observation Feature Spaces via Model-Based
  Regularization

Live in the Moment: Learning Dynamics Model Adapted to Evolving Policy

Boosting Exploration in Actor-Critic Algorithms by Incentivizing Plausible Novel States

Deep Reinforcement Learning-based Rebalancing Policies for Profit
  Maximization of Relay Nodes in Payment Channel Networks


A code to fit the spectrum of quasar

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

The Central Engines of Fermi Blazars

The correlations between optical/UV broad lines and X-ray emission for a large sample of quasars

Probing the Nature of High-redshift Weak Emission Line Quasars: A Young Quasar with a Starburst Host Galaxy

Discovery of an Mg ii Changing-look Active Galactic Nucleus and Its Implications for a Unification Sequence of Changing-look Active Galactic Nuclei

The frequency of extreme X-ray variability for radio-quiet quasars

Active Galactic Nucleus Pairs from the Sloan Digital Sky Survey. III. Chandra X-Ray Observations Unveil Obscured Double Nuclei

Fundamental differences in the properties of red and blue quasars: measuring the reddening and accretion properties with X-shooter

SkyMapper colours of Seyfert galaxies and Changing-look AGN-II. Newly
  discovered Changing-look AGN

Dwarf AGNs from Optical Variability for the Origins of Seeds (DAVOS): insights from the dark energy survey deep fields


A novel application of the RAMP main engine for generating bottom-up stochastic electric vehicles load profiles.


Official implementation of the paper "Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis" in ICLR 2021

Projected GANs Converge Faster

Few-shot Image Generation with Mixup-based Distance Learning

FreGAN: Exploiting Frequency Components for Training GANs under Limited
  Data

Smoothing the Generative Latent Space with Mixup-based Distance Learning

GANravel: User-Driven Direction Disentanglement in Generative Adversarial Networks

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

Improving the Effectiveness of Deep Generative Data


OpenAI CLIP text encoders for multiple languages!

Learning Transferable Visual Models From Natural Language Supervision

Language-agnostic BERT Sentence Embedding

Cross-lingual and Multilingual CLIP

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Exploiting Cultural Biases via Homoglyphs in Text-to-Image Synthesis

SpeechCLIP: Integrating Speech with Pre-Trained Vision and Language Model

MuMUR : Multilingual Multimodal Universal Retrieval

Towards Zero-shot Cross-lingual Image Retrieval and Tagging

Translation-Enhanced Multilingual Text-to-Image Generation

Babel-ImageNet: Massively Multilingual Evaluation of Vision-and-Language
  Representations

PR-MCS: Perturbation Robust Metric for MultiLingual Image Captioning


Public release of TauREx3

TauREx 3: A Fast, Dynamic, and Extendable Framework for Retrievals

The ExoMolOP database: Cross sections and k-tables for molecules of interest in high-temperature exoplanet atmospheres

A comparison of exoplanet spectroscopic retrieval tools

ARES. III. Unveiling the Two Faces of KELT-7 b with HST WFC3

ARES IV: Probing the Atmospheres of the Two Warm Small Planets HD 106315c and HD 3167c with the HST/WFC3 Camera

Near-infrared transmission spectrum of TRAPPIST-1 h using Hubble WFC3 G141 observations

Exploring the Ability of Hubble Space Telescope WFC3 G141 to Uncover Trends in Populations of Exoplanet Atmospheres through a Homogeneous Transmission Survey of 70 Gaseous Planets

ESA-Ariel Data Challenge NeurIPS 2022: Introduction to exo-atmospheric
  studies and presentation of the Atmospheric Big Challenge (ABC) Database

Correcting the effect of stellar spots on ARIEL transmission spectra - II. The limb-darkening effect

Revisiting the Transit Timing and Atmosphere Characterization of the Neptune-mass Planet HAT-P-26 b


Reinforcement Learning environments for Traffic Signal Control with SUMO. Compatible with Gymnasium, PettingZoo, and popular RL libraries.

Quantifying the impact of non-stationarity in reinforcement learning-based traffic signal control

Generative Adversarial Reward Learning for Generalized Behavior Tendency Inference

A Comparative Study of Algorithms for Intelligent Traffic Signal Control

Smart innovation, systems and technologies

RAMRL: Towards Robust On-Ramp Merging via Augmented Multimodal Reinforcement Learning

Deep Reinforcement Learning-Based Intelligent Traffic Signal Controls with Optimized CO2 Emissions


Geoanalytics for climate and disaster risk screening


WGBS/NOMe-seq Data Processing & Differential Methylation Analysis

A unique role for DNA (hydroxy)methylation in epigenetic regulation of human inhibitory neurons

Spatiotemporal DNA methylome dynamics of the developing mouse fetus

OGT binds a conserved C-terminal domain of TET1 to regulate TET1 activity and function in development

Active DNA demethylation regulates tracheary element differentiation in Arabidopsis


Python wrapper around the Concorde TSP solver

Generalize a Small Pre-trained Model to Arbitrarily Large TSP Instances

Solving Dynamic Traveling Salesman Problems With Deep Reinforcement Learning

IEEE transactions on neural networks and learning systems

Neural Combinatorial Optimization with Heavy Decoder: Toward Large Scale
  Generalization


CryptoGuard: High Precision Detection of Cryptographic Vulnerabilities in Massive-sized Java Projects

Evaluation of Static Vulnerability Detection Tools With Java Cryptographic API Benchmarks

Enhancing CryptoGuards Deployability for Continuous Software Security
  Scanning


A Python library that encapsulates various methods for neuron interpretation and analysis in Deep NLP models.

What Is One Grain of Sand in the Desert? Analyzing Individual Neurons in Deep NLP Models

NeuroX: A Toolkit for Analyzing Individual Neurons in Neural Networks

Discovering Salient Neurons in Deep NLP Models

NeuroX Library for Neuron Analysis of Deep NLP Models

Redundancy and Concept Analysis for Code-trained Language Models


Mean Field Multi-Agent Reinforcement Learning

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

Diverse Policy Optimization for Structured Action Space


Generating Vectors for DBpedia Entities via Word2Vec and Wikipedia Dumps. Questions? https://gitter.im/idio-opensource/Lobby

Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia

Knowledge Graph Embeddings and Explainable AI

Benchmark for Complex Answer Retrieval

Automatic distractor generation for multiple-choice English vocabulary questions

Research and practice in technology enhanced learning/Research and practice in technology enchanced learning

Entity Commonsense Representation for Neural Abstractive Summarization

Efficient Text Classification Using Tree-structured Multi-linear Principal Component Analysis

New Embedded Representations and Evaluation Protocols for Inferring Transitive Relations

International ACM SIGIR Conference on Research and Development in Information Retrieval

An Automated Approach for Identification of Non-Functional Requirements using Word2Vec Model

International journal of advanced computer science and applications/International journal of advanced computer science & applications

Predicting the Argumenthood of English Prepositional Phrases

A Comparison of Word Embeddings and N-gram Models for DBpedia Type and Invalid Entity Detection


A knowledge-based method for determining small molecule binding "hotspots".

Identifying Interactions that Determine Fragment Binding at Protein Hotspots

Hotspots API: A Python Package for the Detection of Small Molecule Binding Hotspots and Application to Structure-Based Drug Design

Journal of chemical information and modeling

Fragment Hotspot Mapping to Identify Selectivity-Determining Regions between Related Proteins


Machine learning for transportation data imputation and prediction.

A Bayesian tensor decomposition approach for spatiotemporal traffic data imputation

Transportation research. Part C, Emerging technologies

Bayesian Temporal Factorization for Multidimensional Time Series Prediction

IEEE transactions on pattern analysis and machine intelligence

Spatial-temporal traffic speed patterns discovery and incomplete data recovery via SVD-combined tensor decomposition

Missing traffic data imputation and pattern discovery with a Bayesian augmented tensor factorization model

A nonconvex low-rank tensor completion model for spatiotemporal traffic data imputation

Low-Rank Autoregressive Tensor Completion for Spatiotemporal Traffic Data Imputation

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

Scalable low-rank tensor learning for spatiotemporal traffic data imputation

PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation

Dynamic Collaborative Filtering Based on User Preference Drift and Topic Evolution


BioMedGPT: Open Multimodal Generative Pre-trained Transformer for
  BioMedicine

MolFM: A Multimodal Molecular Foundation Model

Large-Scale Cell Representation Learning via Divide-and-Conquer
  Contrastive Learning


Do Offline Metrics Predict Online Performance in Recommender Systems?

Quantifying Availability and Discovery in Recommender Systems via Stochastic Reachability


Ultrafast consensus module for raw de novo genome assembly of long uncorrected reads

Connecting structure to function with the recovery of over 1000 high-quality metagenome-assembled genomes from activated sludge using long-read sequencing

Chromosome-scale assembly and analysis of biomass crop Miscanthus lutarioriparius genome

Deciphering the Multi-Chromosomal Mitochondrial Genome of Populus simonii

The Torreya grandis genome illuminates the origin and evolution of gymnosperm-specific sciadonic acid biosynthesis

De novo genome assembly of the medicinal plant Gentiana macrophylla provides insights into the genomic evolution and biosynthesis of iridoids

DNA research : an international journal for rapid publication of reports on genes and genomes

MrHAMER yields highly accurate single molecule viral sequences enabling analysis of intra-host evolution

ntLink: a toolkit for de novo genome assembly scaffolding and mapping
  using long reads

High-quality genome assembly of Metaphire vulgaris

Chromosome-level genome assembly of Amomum tsao-ko provides insights into the biosynthesis of flavor compounds

Synergy between Rhizobial Co-Microsymbionts Leads to an Increase in the Efficiency of Plant–Microbe Interactions


LLVIP: A Visible-infrared Paired Dataset for Low-light Vision

Image-to-Image Translation with Conditional Adversarial Networks

YOLOv3: An Incremental Improvement

DenseFuse: A Fusion Approach to Infrared and Visible Images

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


Area-Proportional Euler and Venn Diagrams with Ellipses

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

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

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

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

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

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

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

Mutational signatures representative transcriptomic perturbations in hepatocellular carcinoma


Derivation of non-thermal particle distributions through MCMC spectral fitting

H.E.S.S. observations of RX J1713.7−3946 with improved angular and spectral resolution: Evidence for gamma-ray emission extending beyond the X-ray emitting shell

A cut-off in the TeV gamma-ray spectrum of the SNR Cassiopeia A

Proceedings of 35th International Cosmic Ray Conference — PoS(ICRC2017)

H.E.S.S. detection of TeV emission from the interaction region between the supernova remnant G349.7+0.2 and a molecular cloud

Energy distribution of relativistic electrons in the young supernova remnant G1.9+0.3

Gamma-ray observations of low-luminosity active galactic nuclei

Monthly Notices of the Royal Astronomical Society

Erratum: Secondary-electron radiation accompanying hadronic GeV-TeV gamma-rays from supernova remnants

Detailed Analysis of the TeV γ-Ray Sources 3HWC J1928+178, 3HWC J1930+188, and the New Source HAWC J1932+192

Deep observations of Cas A with MAGIC indicate it is no PeVatron


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

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

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

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

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

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

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


HyPhy standalone analyses

An Evolutionary Portrait of the Progenitor SARS-CoV-2 and Its Dominant Offshoots in COVID-19 Pandemic

bioRxiv : the preprint server for biology

A structural basis for antibody-mediated neutralization of Nipah virus reveals a site of vulnerability at the fusion glycoprotein apex

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

The effect of hybridization on transposable element accumulation in an undomesticated fungal species

Pervasive and non-random recombination in near full-length HIV genomes from Uganda

Genome Evolution in Bacteria Isolated from Million-Year-Old Subseafloor Sediment

Natural selection differences detected in key protein domains between non-pathogenic and pathogenic feline coronavirus phenotypes

Genomic Signatures Associated with Transitions to Viviparity in Cyprinodontiformes

The Evolution of Widespread Recombination Suppression on the Dwarf Hamster (Phodopus) X Chromosome


A pytorch implementation of Paper "Improved Training of Wasserstein GANs"

Generative Models from the perspective of Continual Learning

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

Outlier-Robust Optimal Transport: Duality, Structure, and Statistical Analysis

MCL-GAN: Generative Adversarial Networks with Multiple Specialized Discriminators

Amortised Learning by Wake-Sleep

Robust Estimation under the Wasserstein Distance

Updating the generator in PPGN-h with gradients flowing through the encoder.


A tool set for short variant discovery in genetic sequence data.

Unified representation of genetic variants

The Indian cobra reference genome and transcriptome enables comprehensive identification of venom toxins

Chromosome Xq23 is associated with lower atherogenic lipid concentrations and favorable cardiometabolic indices

A patient-driven clinicogenomic partnership for metastatic prostate cancer


Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need

IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages

iNLTK: Natural Language Toolkit for Indic Languages

Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)

AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for
  Indic Languages

Spartans@LT-EDI-EACL2021: Inclusive Speech Detection using Pretrained Language Models

Is Machine Learning Speaking my Language? A Critical Look at the NLP-Pipeline Across 8 Human Languages.

CodemixedNLP: An Extensible and Open NLP Toolkit for Code-Mixing

A Comparative Study on Language Models for the Kannada Language

International Conference on Natural Language and Speech Processing


Web application to manage plants


Matching techniques for Observational Studies

Effect of Body Mass Index on Postoperative Nausea and Vomiting: Propensity Analysis

On the rise of fear speech in online social media

Genetic analysis of coronary artery disease using tree-based automated machine learning informed by biology-based feature selection

Bacterial Lipopolysaccharide as a Negative Predictor of Adjuvant Gemcitabine Efficacy in Pancreatic Cancer

Consideration of Migraines Among Risk Factors for Postoperative Nausea and Vomiting

dame-flame: A Python Library Providing Fast Interpretable Matching for
  Causal Inference

Risk of Vestibulocochlear Disorders in Patients with Migraine or Non-Migraine Headache

TPX2 expression as a negative predictor of gemcitabine efficacy in pancreatic cancer

Interdisciplinary researchers attain better performance in funding


Causal Mixture Model for GWAS summary statistics

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

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

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

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

Extensive bidirectional genetic overlap between bipolar disorder and cardiovascular disease phenotypes

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

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

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

Examining the source of increased bipolar disorder and major depressive disorder common risk variation burden in multiplex schizophrenia families

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


The RedPajama-Data repository contains code for preparing large datasets for training large language models.

Extending Context Window of Large Language Models via Positional
  Interpolation

Focused Transformer: Contrastive Training for Context Scaling

Llemma: An Open Language Model For Mathematics

Landmark Attention: Random-Access Infinite Context Length for
  Transformers

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Lemur: Harmonizing Natural Language and Code for Language Agents

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

Detecting Pretraining Data from Large Language Models

Proving Test Set Contamination in Black Box Language Models

FederatedScope-LLM: A Comprehensive Package for Fine-tuning Large
  Language Models in Federated Learning


A modular RL library to fine-tune language models to human preferences

Is Reinforcement Learning (Not) for Natural Language Processing:
  Benchmarks, Baselines, and Building Blocks for Natural Language Policy
  Optimization

RL4F: Generating Natural Language Feedback with Reinforcement Learning for Repairing Model Outputs

ReMax: A Simple, Effective, and Efficient Reinforcement Learning Method
  for Aligning Large Language Models


[ECCV2022] PETR: Position Embedding Transformation for Multi-View 3D Object Detection & [ICCV2023] PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images

Cross Modal Transformer: Towards Fast and Robust 3D Object Detection

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

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


Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

Bidirectional Attention Flow for Machine Comprehension

QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension

Constructing Datasets for Multi-hop Reading Comprehension Across Documents

Learning Intrinsic Sparse Structures within Long Short-term Memory

Improving the Robustness of Question Answering Systems to Question Paraphrasing

Meeting of the Association for Computational Linguistics

SberQuAD - Russian Reading Comprehension Dataset: Description and Analysis

Two-Stage Synthesis Networks for Transfer Learning in Machine Comprehension

Difficulty Controllable Generation of Reading Comprehension Questions

ODSQA: Open-domain Spoken Question Answering Dataset

Semi-supervised Training Data Generation for Multilingual Question Answering

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


Surface Urban Energy and Water Balance Scheme


An open source implementation of Microsoft's VALL-E X zero-shot TTS model. Demo is available in https://plachtaa.github.io

AudioLM: A Language Modeling Approach to Audio Generation

Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

Speak Foreign Languages with Your Own Voice: Cross-Lingual Neural Codec
  Language Modeling

Amphion: An Open-Source Audio, Music and Speech Generation Toolkit


Multi-subject Single Cell Deconvolution

Resolving the immune landscape of human prostate at a single-cell level in health and cancer

Comprehensive evaluation of deconvolution methods for human brain gene expression

Besca, a single-cell transcriptomics analysis toolkit to accelerate translational research

Exploring Additional Valuable Information From Single-Cell RNA-Seq Data

Frontiers in cell and developmental biology

DAISM-DNNXMBD: Highly accurate cell type proportion estimation with in silico data augmentation and deep neural networks

Strategies for cellular deconvolution in human brain RNA sequencing data

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

Deconvolution of a Large Cohort of Placental Microarray Data Reveals Clinically Distinct Subtypes of Preeclampsia

Frontiers in bioengineering and biotechnology

Single-cell RNA sequencing reveals in vivo osteoimmunology interactions between the immune and skeletal systems


Tools to work with android .dex and java .class files

A First Look at Deep Learning Apps on Smartphones

R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections

StoryDroid: Automated Generation of Storyboard for Android Apps

A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices

IEEE transactions on information forensics and security

ATVHunter: Reliable Version Detection of Third-Party Libraries for Vulnerability Identification in Android Applications

Secure Containers in Android: the Samsung KNOX Case Study

Android inter-app communication threats and detection techniques

Layered obfuscation: a taxonomy of software obfuscation techniques for layered security

A Method for Automatic Android Malware Detection Based on Static Analysis and Deep Learning

A forensic investigation of Android mobile applications


Robot Vulnerability Database. An archive of robot vulnerabilities and bugs.

Introducing the Robot Vulnerability Database (RVD)

DevSecOps in Robotics

Volatile memory forensics for the Robot Operating System

alurity, a toolbox for robot cybersecurity.

Robot Hacking Manual (RHM)


Python-based Fermi-Löwdin orbital self-interaction-correction

Stretched or noded orbital densities and self-interaction correction in density functional theory

Interpretation and Automatic Generation of Fermi‐Orbital Descriptors

PyFLOSIC: Python-based Fermi-Löwdin orbital self-interaction correction.


Open-source opinionated Galaxy-based framework for microbiota analysis

ASaiM: a Galaxy-based framework to analyze microbiota data

ASaiM-MT: a validated and optimized ASaiM workflow for metatranscriptomics analysis within Galaxy framework

ASaiM: a Galaxy-based framework to analyze raw shotgun data from microbiota


Large scale ice-flow model

Projecting Antarctica's contribution to future sea level rise from basal ice shelf melt using linear response functions of 16 ice sheet models (LARMIP-2)

Two-timescale response of a large Antarctic ice shelf to climate change

The tipping points and early-warning indicators for Pine Island Glacier, West Antarctica

Calving cycle of the Brunt Ice Shelf, Antarctica, driven by changes in ice shelf geometry

Nunataks as barriers to ice flow: implications for palaeo ice sheet reconstructions

Limited Impact of Thwaites Ice Shelf on Future Ice Loss From Antarctica


Hierarchical meta-d' model

HMeta-d: hierarchical Bayesian estimation of metacognitive efficiency from confidence ratings

Metacognitive Failure as a Feature of Those Holding Radical Beliefs

Is There a G Factor for Metacognition? Correlations in Retrospective Metacognitive Sensitivity Across Tasks

Journal of experimental psychology. General

Forming global estimates of self-performance from local confidence

The Filter Detection Task for measurement of breathing-related interoception and metacognition

Developmental trajectories of metacognitive processing and executive function from childhood to older age

The quarterly journal of experimental psychology/Quarterly journal of experimental psychology

Perceptual metacognition of human faces is causally supported by function of the lateral prefrontal cortex

The positive evidence bias in perceptual confidence is unlikely post-decisional

A TMS/EEG protocol for the causal assessment of the functions of the oscillatory brain rhythms in perceptual and cognitive processes

Psychiatrically relevant signatures of domain-general decision-making and metacognition in the general population


Repository for supplemental material of manuscripts

MEK inhibitors activate Wnt signalling and induce stem cell plasticity in colorectal cancer

Toward an integrated map of genetic interactions in cancer cells

Widespread Rewiring of Genetic Networks upon Cancer Signaling Pathway Activation

Genome-scale CRISPR screening at high sensitivity with an empirically designed sgRNA library

Time-resolved mapping of genetic interactions to model rewiring of signaling pathways

Detection of mutational patterns in cell-free DNA of colorectal cancer by custom amplicon sequencing.

Multi-omics integration identifies a selective vulnerability of colorectal cancer subtypes to YM155.

Pooled CRISPR screening at high sensitivity with an empirically designed sgRNA library


Pulp virtual platform

DARKSIDE: A Heterogeneous RISC-V Compute Cluster for Extreme-Edge On-Chip DNN Inference and Training

IEEE open journal of the Solid-State Circuits Society

Human Activity Recognition on Microcontrollers with Quantized and Adaptive Deep Neural Networks

ACM transactions on embedded computing systems

Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers

PROCEEDINGS OF THE 2021 IFIP/IEEE INTERNATIONAL CONFERENCE ON VERY LARGE SCALE INTEGRATION (VLSI-SOC)


Reinforcement Learning for real-time applications - host of the TrackMania Roborace League

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Randomized Ensembled Double Q-Learning: Learning Fast Without a Model


Perform stellar classifications using isochrone grids

The California-Kepler Survey. IV. Metal-rich Stars Host a Greater Diversity of Planets

Asteroseismology and Gaia: Testing Scaling Relations Using 2200 Kepler Stars with TGAS Parallaxes

The California-Kepler Survey. II. Precise Physical Properties of 2025 Kepler Planets and Their Host Stars

A Hot Saturn Orbiting an Oscillating Late Subgiant Discovered by TESS

Planet Candidates from K2 Campaigns 5–8 and Follow-up Optical Spectroscopy

K2-231 b: A Sub-Neptune Exoplanet Transiting a Solar Twin in Ruprecht 147

A 'Quick Look' at All-Sky Galactic Archeology with TESS: 158,000 Oscillating Red Giants from the MIT Quick-Look Pipeline

Discovery of a Transiting Adolescent Sub-Neptune Exoplanet with K2

The masses of retired A stars with asteroseismology: Kepler and K2 observations of exoplanet hosts

Asteroseismic masses of retired planet-hosting A-stars using SONG


PINpointing Orbit Crossing Collapsed Hierarchical Objects

Comparing approximate methods for mock catalogues and covariance matrices – III: bispectrum

Monthly notices of the Royal Astronomical Society

Comparing approximate methods for mock catalogues and covariance matrices II: power spectrum multipoles

Euclid: Modelling massive neutrinos in cosmology – a code comparison

Journal of cosmology and astroparticle physics

Testing the reliability of fast methods for weak lensing simulations: wl-moka on pinocchio

Monthly Notices of the Royal Astronomical Society

Detecting the HI Power Spectrum in the Post-Reionization Universe with
  SKA-Low


Qt-Platz (Qt based Scientific Software Foundation)

Rapid Analysis of α-Tocopherol and Its Oxidation Products Using Supercritical Carbon Dioxide and Proton Transfer Reaction Ionization Mass Spectrometry

Attempts to Detect Lipid Metabolites from a Single Cell Using Proton-Transfer-Reaction Mass Spectrometry Coupled with Micro-Scale Supercritical Fluid Extraction: A Preliminary Study


A collection of usefull tools for RAD or GBS data analysis

Transposon activation is a major driver in the genome evolution of cultivated olive trees (Olea europaea L.)

Selection-driven trait loss in independently evolved cavefish populations

Phylogenomic analyses confirm a novel invasive North American Corbicula (Bivalvia: Cyrenidae) lineage

Complex population history affects admixture analyses in nine-spined sticklebacks

Convergent morphology and divergent phenology promote the coexistence of Morpho butterfly species

Worldwide Population Structure of the Coffee Rust Fungus Hemileia vastatrix Is Strongly Shaped by Local Adaptation and Breeding History

New insights on adaptation and population structure of cork oak using genotyping by sequencing

Geographical Patterns of Genetic Variation in Locoto Chile (Capsicum pubescens) in the Americas Inferred by Genome-Wide Data Analysis


AVClass malware labeling tool

AVClass2: Massive Malware Tag Extraction from AV Labels

Malware Lineage in the Wild

Online Malware Classification with System-Wide System Calls in Cloud IaaS

On labeling Android malware signatures using minhashing and further classification with Structural Equation Models.

Marked for Disruption: Tracing the Evolution of Malware Delivery Operations Targeted for Takedown


Python package to model and forecast the risk of deforestation


Tensor Train Toolbox

Tensor Train decomposition on TensorFlow (T3F)

Tensor-based algorithms for image classification

Tensor-based computation of metastable and coherent sets

Performance of the Low-Rank TT-SVD for Large Dense Tensors on Modern MultiCore CPUs

tgEDMD: Approximation of the Kolmogorov Operator in Tensor Train Format

WaveTrain: A Python Package for Numerical Quantum Mechanics of
  Chain-Like Systems Based on Tensor Trains

Low-rank tensor decompositions of quantum circuits


Experiments for understanding disentanglement in VAE latent representations

Tutorial on Amortized Optimization

Self-Supervised Learning Disentangled Group Representation as Feature

Evaluating the Disentanglement of Deep Generative Models through Manifold Topology

Disentanglement of Correlated Factors via Hausdorff Factorized Support

Human-interpretable model explainability on high-dimensional data

NEO: Non Equilibrium Sampling on the Orbit of a Deterministic Transform

Beta-VAE Reproducibility: Challenges and Extensions

The Manifold Hypothesis for Gradient-Based Explanations

Disentangling Content and Motion for Text-Based Neural Video
  Manipulation

Learning Geometry-aware Representations by Sketching


Reproduce results and replicate training fo T0 (Multitask Prompted Training Enables Zero-Shot Task Generalization)

Do Prompt-Based Models Really Understand the Meaning of their Prompts?

Zemi: Learning Zero-Shot Semi-Parametric Language Models from Multiple Tasks

Improving Probability-based Prompt Selection Through Unified Evaluation
  and Analysis

Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers


Multilingual word vectors in 78 languages

Enriching Word Vectors with Subword Information

Exploiting Similarities among Languages for Machine Translation

A Survey of Cross-lingual Word Embedding Models

Offline bilingual word vectors, orthogonal transformations and the inverted softmax

Improving zero-shot learning by mitigating the hubness problem

Unsupervised Cross-Lingual Information Retrieval Using Monolingual Data Only

Cross-Lingual Syntactic Transfer through Unsupervised Adaptation of Invertible Projections

Transliteration Better than Translation? Answering Code-mixed Questions over a Knowledge Base

Aggression Identification and Multi Lingual Word Embeddings

International Conference on Computational Linguistics

Debiasing Multilingual Word Embeddings: A Case Study of Three Indian Languages


OpenCCG library for parsing and realization with CCG

Generating comments from source code with CCGs

Proceedings of the 4th ACM SIGSOFT International Workshop on NLP for Software Engineering

Toward Bayesian Synchronous Tree Substitution Grammars for Sentence Planning

International Conference on Natural Language Generation

Most NLG is Low-Resource: here’s what we can do about it

Proceedings of the 2nd Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)


Graph Embedding Techniques, Applications, and Performance: A Survey

Representation Learning for Natural Language Processing

Fusion of text and graph information for machine learning problems on networks

GEM: A Python package for graph embedding methods

The Atlas for the Aspiring Network Scientist

FILDNE: A Framework for Incremental Learning of Dynamic Networks Embeddings

Predicting partially observed processes on temporal networks by Dynamics-Aware Node Embeddings (DyANE)

Network representation learning systematic review: ancestors and current development state

A Comprehensive Analytical Survey on Unsupervised and Semi-Supervised
  Graph Representation Learning Methods

Entity Thematic Similarity Measurement for Personal Explainable Searching Services in the Edge Environment


An R package for biomass estimation at extratropical forest plots.


indicTranslate v1 - Machine Translation for 11 Indic languages. For latest v2, check: https://github.com/AI4Bharat/IndicTrans2

Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages

IndicNLG Benchmark: Multilingual Datasets for Diverse NLG Tasks in Indic Languages

IIITT@Dravidian-CodeMix-FIRE2021: Transliterate or translate? Sentiment
  analysis of code-mixed text in Dravidian languages

LAHM : Large Annotated Dataset for Multi-Domain and Multilingual Hate
  Speech Identification


Sequence-to-sequence model with LSTM encoder/decoders and attention

Sequence-Level Knowledge Distillation

Synthetic and Natural Noise Both Break Neural Machine Translation

Sequence-to-Sequence Learning as Beam-Search Optimization

What do Neural Machine Translation Models Learn about Morphology?

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1

On Adversarial Examples for Character-Level Neural Machine Translation

Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks

SYSTRAN's Pure Neural Machine Translation Systems

Incremental Decoding and Training Methods for Simultaneous Translation in Neural Machine Translation

Neural Generation of Regular Expressions from Natural Language with Minimal Domain Knowledge

On the Linguistic Representational Power of Neural Machine Translation Models


Lightweight converter between hic and cool contact matrices.

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

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

Stripenn detects architectural stripes from chromatin conformation data using computer vision

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

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

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

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

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


A fast approximate aligner for long DNA sequences

Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome

A Fast Adaptive Algorithm for Computing Whole-Genome Homology Maps

A Fast Approximate Algorithm for Mapping Long Reads to Large Reference Databases

A highly differentiated region of wheat chromosome 7AL encodes a Pm1a immune receptor that recognizes its corresponding AvrPm1a effector from Blumeria graminis

Minmers are a generalization of minimizers that enable unbiased local Jaccard estimation

bioRxiv : the preprint server for biology


This repository is a tool for visualizing an agent RL process from a grid2op format. It was made though a partnership between RTE and Artelys for the different challengers of the L2RPN RL Challenge.

Learning to run a Power Network Challenge: a Retrospective Analysis

Towards an AI assistant for power grid operators

Towards an AI assistant for human grid operators


This repository is intended to host tools and demos for ActivityNet

Weakly Supervised Action Localization by Sparse Temporal Pooling Network

Background Suppression Network for Weakly-supervised Temporal Action
  Localization

Weakly-supervised Action Localization with Background Modeling

Weakly-Supervised Action Localization by Generative Attention Modeling

Two-Stream Consensus Network for Weakly-Supervised Temporal Action Localization

Is Someone Speaking? Exploring Long-term Temporal Features for Audio-visual Active Speaker Detection

CoLA: Weakly-Supervised Temporal Action Localization with Snippet Contrastive Learning

Weakly-supervised Temporal Action Localization by Uncertainty Modeling

Marginalized Average Attentional Network for Weakly-Supervised Learning

Cross-modal Consensus Network for Weakly Supervised Temporal Action Localization


PartitionFinder discovers optimal partitioning schemes for DNA sequences.

PartitionFinder 2: New Methods for Selecting Partitioned Models of Evolution for Molecular and Morphological Phylogenetic Analyses.

Selecting optimal partitioning schemes for phylogenomic datasets

Automatic selection of partitioning schemes for phylogenetic analyses using iterative k-means clustering of site rates

Global radiation in a rare biosphere soil diatom

Using mitochondrial genomes to infer phylogenetic relationships among the oldest extant winged insects (Palaeoptera)

The First Five Mitochondrial Genomes for the Family Nidulariaceae Reveal Novel Gene Rearrangements, Intron Dynamics, and Phylogeny of Agaricales

International journal of molecular sciences

Three mitochondrial genomes of early-winged insects (Ephemeroptera: Baetidae and Leptophlebiidae)


The complete sequence of a human genome

The complete sequence of a human genome

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

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

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

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

Complete genomic and epigenetic maps of human centromeres

A complete reference genome improves analysis of human genetic variation

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

Segmental duplications and their variation in a complete human genome

Epigenetic Patterns in a Complete Human Genome


A 3D electromagnetic FDTD simulator written in Python with optional GPU support

Clifford Neural Layers for PDE Modeling

Simultaneous Estimation of Wall and Object Parameters in TWR Using Deep Neural Network

Through-the-Wall Radar under electromagnetic complex wall: A deep learning approach

NIDN: Neural Inverse Design of Nanostructures

Clifford-Steerable Convolutional Neural Networks


NVBIO is a library of reusable components designed to accelerate bioinformatics applications using CUDA.

Dismantling DivSufSort

HaSAPPy: A tool for candidate identification in pooled forward genetic screens of haploid mammalian cells

Scrooge: a fast and memory-frugal genomic sequence aligner for CPUs, GPUs, and ASICs

Low-frequency somatic copy number alterations in normal human lymphocytes revealed by large-scale single-cell whole-genome profiling


Research Framework for Single and Multi-Players  Multi-Arms Bandits (MAB) Algorithms, implementing all the state-of-the-art algorithms for single-player (UCB, KL-UCB, Thompson...) and multi-player (MusicalChair, MEGA, rhoRand, MCTop/RandTopM etc).. Available on PyPI: https://pypi.org/project/SMPyBandits/ and documentation on

Multi-Player Bandits Models Revisited

What Doubling Tricks Can and Can't Do for Multi-Armed Bandits

Efficient Change-Point Detection for Tackling Piecewise-Stationary Bandits

KL-UCB-switch: optimal regret bounds for stochastic bandits from both a distribution-dependent and a distribution-free viewpoints

Decentralized spectrum learning for radio collision mitigation in ultra-dense IoT networks: LoRaWAN case study and experiments

Annals of telecommunications/Annales des télécommunications

Decentralized Spectrum Learning for IoT Wireless Networks Collision Mitigation

contextual: Evaluating Contextual Multi-Armed Bandit Problems in R

Multi-Armed Bandits in Brain-Computer Interfaces

Multi-armed Bandit Algorithm against Strategic Replication

Programming by Rewards


Deep learning toolbox based on PyTorch for hyperspectral data classification.

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

Going Deeper With Contextual CNN for Hyperspectral Image Classification

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

Deep Learning for Classification of Hyperspectral Data: A Comparative Review

IEEE geoscience and remote sensing magazine

HSI-CNN: A Novel Convolution Neural Network for Hyperspectral Image

A High-Performance Spectral-Spatial Residual Network for Hyperspectral Image Classification with Small Training Data

Exploring Cross-Domain Pretrained Model for Hyperspectral Image Classification

IEEE transactions on geoscience and remote sensing

DEEP FEATURE EXTRACTION BASED ON DYNAMIC GRAPH CONVOLUTIONAL NETWORKS FOR ACCELERATED HYPERSPECTRAL IMAGE CLASSIFICATION

XXIV ISPRS CONGRESS: IMAGING TODAY, FORESEEING TOMORROW, COMMISSION III

Training Methods of Multi-Label Prediction Classifiers for Hyperspectral Remote Sensing Images


Basic sanity checks for MOFs.

An Extended Charge Equilibration Method.

The journal of physical chemistry letters

Connecting lab experiments with computer experiments: Making "routine" simulations routine

MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design


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

Axiomatic Attribution for Deep Networks

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

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

Explaining Explanations: Axiomatic Feature Interactions for Deep Networks

Differentiate ChatGPT-generated and Human-written Medical Texts

CoCo: Coherence-Enhanced Machine-Generated Text Detection Under Low Resource With Contrastive Learning

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

Robust Conversational Agents against Imperceptible Toxicity Triggers

Actuarial Applications of Natural Language Processing Using
  Transformers: Case Studies for Using Text Features in an Actuarial Context

Improving Health Mention Classification of Social Media Content Using Contrastive Adversarial Training


ENMTools R Package

Climate change and the future restructuring of Neotropical anuran biodiversity

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

Potential migratory routes of Urania boisduvalii (Lepidoptera: Uraniidae) among host plant populations

Modeling and mapping the habitat suitability and the potential distribution of Arboviruses vectors in Morocco

Climate change may induce connectivity loss and mountaintop extinction in Central American forests

Linking Habitat and Associated Abiotic Conditions to Predict Fish Hotspots Distribution Areas within La Paz Bay: Evaluating Marine Conservation Areas

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

Prediction of Suitable Habitat Distribution of Cryptosphaeria pullmanensis in the World and China under Climate Change

Potential Distribution of the Biocontrol Agent Toxorhynchites rutilus By 2070.

Journal of the American Mosquito Control Association


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

Temporal Segment Networks: Towards Good Practices for Deep Action Recognition

Temporal Segment Networks for Action Recognition in Videos

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

Procedural Generation of Videos to Train Deep Action Recognition Networks

Improving Spatiotemporal Self-Supervision by Deep Reinforcement Learning

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


open-source feature selection repository in python

Feature Selection: A Data Perspective

Few-Shot Learning-Based Human Activity Recognition

Differentiable Unsupervised Feature Selection based on a Gated Laplacian

Patterns and correlates of physical activity in adult Norwegians: a forecasted evolution up to 2025 based on machine learning approach

Block Model Guided Unsupervised Feature Selection


R package for microbiome biomarker discovery

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

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

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

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

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

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

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

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


A bioinformatics pipeline to analyze mtDNA from NGS data

Mitochondrial DNA depletion, mitochondrial mutations and high TFAM expression in hepatocellular carcinoma

The relevance of mitochondrial DNA variants fluctuation during reprogramming and neuronal differentiation of human iPSCs

Detection of Innate and Artificial Mitochondrial DNA Heteroplasmy by Massively Parallel Sequencing: Considerations for Analysis

Journal of Korean medical science/Journal of Korean Medical Science


Platypus Variant Caller

Detection of early seeding of Richter transformation in chronic lymphocytic leukemia

Whole-genome sequencing of spermatocytic tumors provides insights into the mutational processes operating in the male germline

Interactions between genetics and environment shape Camelina seed oil composition

Computer Architecture-Aware Optimisation of DNA Analysis Systems


[EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding

Instruction Tuning for Large Language Models: A Survey

VITATECS: A Diagnostic Dataset for Temporal Concept Understanding of
  Video-Language Models


[ICRA'23] BEVFusion: Multi-Task Multi-Sensor Fusion with Unified Bird's-Eye View Representation

BEVFusion: A Simple and Robust LiDAR-Camera Fusion Framework

X-Align++: cross-modal cross-view alignment for Bird's-eye-view
  segmentation

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

Lift-Attend-Splat: Bird's-eye-view camera-lidar fusion using
  transformers


A customisable 3D platform for agent-based AI research

IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

Learning to Navigate in Complex Environments

Stabilizing Transformers for Reinforcement Learning

DeepMind Lab

Light Field Networks: Neural Scene Representations with Single-Evaluation Rendering

Deep Reinforcement Learning

Life-Long Disentangled Representation Learning with Cross-Domain Latent Homologies

Optimizing Agent Behavior over Long Time Scales by Transporting Value

V-MPO: On-Policy Maximum a Posteriori Policy Optimization for Discrete and Continuous Control

Grounded Language Learning Fast and Slow


RocketQA, dense retrieval for information retrieval and question answering, including both Chinese and English state-of-the-art models.

RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

RocketQAv2: A Joint Training Method for Dense Passage Retrieval and Passage Re-ranking

PAIR: Leveraging Passage-Centric Similarity Relation for Improving Dense Passage Retrieval

Meeting of the Association for Computational Linguistics

Dense Text Retrieval based on Pretrained Language Models: A Survey

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

DuReader_retrieval: A Large-scale Chinese Benchmark for Passage
  Retrieval from Web Search Engine

UniMS-RAG: A Unified Multi-source Retrieval-Augmented Generation for Personalized Dialogue Systems

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

DORIS-MAE: Scientific Document Retrieval using Multi-level Aspect-based
  Queries


Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

GhostNet: More Features from Cheap Operations

Transformer in Transformer

Vision GNN: An Image is Worth Graph of Nodes

An Image Patch is a Wave: Phase-Aware Vision MLP

GhostNetV2: Enhance Cheap Operation with Long-Range Attention

GhostNets on Heterogeneous Devices via Cheap Operations

International journal of computer vision

Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets

Augmented Shortcuts for Vision Transformers

Brain-inspired Multilayer Perceptron with Spiking Neurons

PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid
  Architecture


Simple statistical identification and removal of contaminants in marker-gene and metagenomics sequencing data

Simple statistical identification and removal of contaminant sequences in marker-gene and metagenomics data

Metagenomics next-generation sequencing tests take the stage in the diagnosis of lower respiratory tract infections

Exploring the Spatial-Temporal Microbiota of Compound Stomachs in a Pre-weaned Goat Model

Much ado about nothing? Off-target amplification can lead to false-positive bacterial brain microbiome detection in healthy and Parkinson’s disease individuals

Mycobiome changes in the vitreous of post fever retinitis patients

The Postmedieval Latvian Oral Microbiome in the Context of Modern Dental Calculus and Modern Dental Plaque Microbial Profiles

Basalt-Hosted Microbial Communities in the Subsurface of the Young Volcanic Island of Surtsey, Iceland

Characterization of cerebrospinal fluid (CSF) microbiota from patients with CSF shunt infection and reinfection using high throughput sequencing of 16S ribosomal RNAgenes

Metagenomic insights into the microbial communities of inert and oligotrophic outdoor pier surfaces of a coastal city

Intraocular Viral Communities Associated With Post-fever Retinitis


LLMs build upon Evol Insturct: WizardLM, WizardCoder, WizardMath

WizardLM: Empowering Large Language Models to Follow Complex
  Instructions

WizardCoder: Empowering Code Large Language Models with Evol-Instruct

WizardMath: Empowering Mathematical Reasoning for Large Language Models
  via Reinforced Evol-Instruct

Instruction Tuning for Large Language Models: A Survey

AlpaGasus: Training A Better Alpaca with Fewer Data

Evaluating Instruction-Tuned Large Language Models on Code Comprehension
  and Generation

OctoPack: Instruction Tuning Code Large Language Models

Lion: Adversarial Distillation of Proprietary Large Language Models

Let Models Speak Ciphers: Multiagent Debate through Embeddings


Open Data su consegna e somministrazione dei vaccini anti COVID-19 in Italia - Commissario straordinario per l'emergenza Covid-19

The effect of mandatory COVID-19 certificates on vaccine uptake: synthetic-control modelling of six countries

The effect of COVID-19 vaccination in Italy and perspectives for living with the virus

Rapid displacement of SARS-CoV-2 variant Delta by Omicron revealed by allele-specific PCR in wastewater

What Is the Willingness to Receive Vaccination Against COVID-19 Among the Elderly in Italy? Data From the PASSI d'Argento Surveillance System

Modelling the COVID-19 epidemic and the vaccination campaign in Italy by the SUIHTER model

Switched forced SEIRDV compartmental models to monitor COVID-19 spread and immunization in Italy

Perceived risk and vaccine hesitancy:Quasi-experimental evidence from Italy

COVID-19 vaccine-related Guillain-Barré syndrome in the Liguria region of Italy: A multicenter case series

Impact of antigen test target failure and testing strategies on the transmission of SARS-CoV-2 variants

Initial impact of SARS-Cov-2 vaccination on healthcare workers in Italy– Update on the 28th of March 2021


Implementation of Analyzing and Improving the Image Quality of StyleGAN (StyleGAN 2) in PyTorch

Closed-Form Factorization of Latent Semantics in GANs

Few-shot Image Generation via Cross-domain Correspondence

HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing

StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

Exploiting Spatial Dimensions of Latent in GAN for Real-time Image Editing

Anycost GANs for Interactive Image Synthesis and Editing

Lifting 2D StyleGAN for 3D-Aware Face Generation

The Geometry of Deep Generative Image Models and its Applications

Intermediate Layer Optimization for Inverse Problems using Deep Generative Models


Clean version of opm-data without reference results

Accelerating Physics-Based Simulations Using End-to-End Neural Network Proxies: An Application in Oil Reservoir Modeling

Efficient reordered nonlinear Gauss–Seidel solvers with higher order for black-oil models

Parallel Automatic History Matching Algorithm Using Reinforcement Learning

Machine learning-based multiscale constitutive modelling: Development and application to dual-porosity mass transfer

On the impact of heterogeneity-aware mesh partitioning and non-contributing computation removal on parallel reservoir simulations

Actor-critic reinforcement learning leads decision-making in energy systems optimization—steam injection optimization


LoMRF is an open-source implementation of Markov Logic Networks

Online learning of event definitions

Theory and practice of logic programming

Semi-Supervised Online Structure Learning for Composite Event Recognition

The Complex Event Recognition Group


PyMGRIT is a package for the Multigrid-Reduction-in-Time (MGRIT) algorithm in Python.

PyMGRIT: A Python Package for the parallel-in-time method MGRIT

Asynchronous Truncated Multigrid-Reduction-in-Time


eco2AI is a python library which accumulates statistics about power consumption and CO2 emission during running code.

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

Efficiency is Not Enough: A Critical Perspective of Environmentally
  Sustainable AI


Inquisitive Parrots for Search

InPars: Unsupervised Dataset Generation for Information Retrieval

Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval

InPars-v2: Large Language Models as Efficient Dataset Generators for
  Information Retrieval

InPars: Data Augmentation for Information Retrieval using Large Language
  Models

Open-source Large Language Models are Strong Zero-shot Query Likelihood Models for Document Ranking

Multi-objective Representation Learning for Scientific Document Retrieval

InPars Toolkit: A Unified and Reproducible Synthetic Data Generation
  Pipeline for Neural Information Retrieval


This repo contains the code for generating the ToxiGen dataset, published at ACL 2022.

ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection

Interpretable Unified Language Checking


Python meteor physics library developed by the Western Meteor Physics Group.

Estimating trajectories of meteors: an observational Monte Carlo approach – I. Theory

Monthly notices of the Royal Astronomical Society

Estimating trajectories of meteors: an observational Monte Carlo approach – II. Results

The Winchcombe fireball—That lucky survivor

A dynamical analysis of the Taurid Complex: evidence for past orbital convergences

Monthly Notices of the Royal Astronomical Society

Direct measurement of decimetre-sized rocky material in the Oort cloud

Iron Rain: measuring the occurrence rate and origin of small iron meteoroids at Earth

Computing optical meteor flux using global meteor network data

Tau-Herculid meteor shower on night 30/31 May, 2022, and properties of
  the meteoroids


Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Soft Actor-Critic: Off-Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor

Addressing Function Approximation Error in Actor-Critic Methods

Overcoming Exploration in Reinforcement Learning with Demonstrations

Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards


A collection of tools for generating, manipulating and - most of all - solving parity games.

Automated Temporal Equilibrium Analysis: Verification and Synthesis of Multi-Player Games

The Fixpoint-Iteration Algorithm for Parity Games

Visibly Linear Dynamic Logic

An Exponential Lower Bound for Zadeh's pivot rule

Hyper temporal networks

Reduced Dependency Spaces for Existential Parameterised Boolean Equation Systems

Faster O(|V|^2|E|W)-Time Energy Algorithms for Optimal Strategy Synthesis in Mean Payoff Games

Generic Model Checking for Modal Fixpoint Logics in COOL-MC

VLDL Satisfiability and Model Checking via Tree Automata


A repository for data package representation for cell tracking data

Community standards for open cell migration data

Sharing and reusing cell image data

“Be sustainable”: EOSC‐Life recommendations for implementation of FAIR principles in life science data handling


A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io

Wide & Deep Learning for Recommender Systems

Deep Neural Networks for YouTube Recommendations

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

DeepFM: A Factorization-Machine based Neural Network for CTR Prediction

Learning deep structured semantic models for web search using clickthrough data

PROCEEDINGS OF THE 22ND ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM'13)

Deep Interest Network for Click-Through Rate Prediction

Neural Factorization Machines for Sparse Predictive Analytics

xDeepFM: Combining Explicit and Implicit Feature Interactions for Recommender Systems

Deep Interest Evolution Network for Click-Through Rate Prediction

Attentional Factorization Machines: Learning the Weight of Feature Interactions via Attention Networks

Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts


Datasets for compositional learning

Generalization without systematicity: On the compositional skills of sequence-to-sequence recurrent networks

Memorize or generalize? Searching for a compositional RNN in a haystack

The Fine Line between Linguistic Generalization and Failure in Seq2Seq-Attention Models

Learning compositionally through attentive guidance


Python package for retrieving current and historical photos from Google Street View

Estimating city-level travel patterns using street imagery: A case study of using Google Street View in Britain

Using Deep Learning to Identify Utility Poles with Crossarms and Estimate Their Locations from Google Street View Images

Google Street View-Derived Neighborhood Characteristics in California Associated with Coronary Heart Disease, Hypertension, Diabetes

International journal of environmental research and public health

Health Assessment of Eucalyptus Trees Using Siamese Network from Google Street and Ground Truth Images

ELEV-VISION: Automated Lowest Floor Elevation Estimation from Segmenting
  Street View Images


binned motif enrichment analysis and visualisation

monaLisa: an R/Bioconductor package for identifying regulatory motifs

A unique bipartite Polycomb signature regulates stimulus-response transcription during development

Reorganization of postmitotic neuronal chromatin accessibility for maturation of serotonergic identity


Bridging the gap between observation and theory

Hoki: Making BPASS accessible through Python

The DUVET Survey: Direct T e -based Metallicity Mapping of Metal-enriched Outflows and Metal-poor Inflows in Markarian 1486

Progenitor, environment, and modelling of the interacting transient AT 2016jbu (Gaia16cfr)

A systematic ageing method I: H ii regions D118 and D119 in NGC 300

End-to-end study of the host galaxy and genealogy of the first binary neutron star merger


DualDICE: Behavior-Agnostic Estimation of Discounted Stationary Distribution Corrections

GenDICE: Generalized Offline Estimation of Stationary Values

Reinforcement Learning via Fenchel-Rockafellar Duality

Benchmarks for Deep Off-Policy Evaluation

CoinDICE: Off-Policy Confidence Interval Estimation

Deeply-Debiased Off-Policy Interval Estimation

Offline Policy Selection under Uncertainty

Learning Bellman Complete Representations for Offline Policy Evaluation


Space-efficient pseudoalignment with a colored de Bruijn graph

Bacterial genomic epidemiology with mixed samples

Themisto: a scalable colored k-mer index for sensitive pseudoalignment against hundreds of thousands of bacterial genomes

Genomic Epidemiology with Mixed Samples


RL starter files in order to immediately train, visualize and evaluate an agent without writing any line of code

State Entropy Maximization with Random Encoders for Efficient Exploration

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

Poisoning Deep Reinforcement Learning Agents with In-Distribution Triggers

Simplifying Deep Reinforcement Learning via Self-Supervision

Decentralized Reinforcement Learning: Global Decision-Making via Local Economic Transactions

Exploring through Random Curiosity with General Value Functions

Escaping Stochastic Traps with Aleatoric Mapping Agents

Flexible Attention-Based Multi-Policy Fusion for Efficient Deep
  Reinforcement Learning


TextAugment: Text Augmentation Library

EDA: Easy Data Augmentation Techniques for Boosting Performance on Text Classification Tasks

Augmenting Data with Mixup for Sentence Classification: An Empirical Study

Improving short text classification through global augmentation methods

Is it Fake? News Disinformation Detection on South African News Websites

HULAT at SemEval-2023 Task 9: Data augmentation for pre-trained
  transformers applied to Multilingual Tweet Intimacy Analysis


A framework for the elicitation, specification, formalization and understanding of requirements.

Formal Requirements Elicitation with FRET

Requirements Engineering: Foundation for Software Quality

From Requirements to Autonomous Flight: An Overview of the Monitoring ICAROUS Project

A Compositional Proof Framework for FRETish Requirements


Python package for the creation, manipulation, and learning of Causal DAGs

Differentiable Causal Discovery from Interventional Data

Consistency Guarantees for Greedy Permutation-Based Causal Inference Algorithms

Efficient Neural Causal Discovery without Acyclicity Constraints

Amortized Inference for Causal Structure Learning

Large-Scale Differentiable Causal Discovery of Factor Graphs

Matching a Desired Causal State via Shift Interventions

BaCaDI: Bayesian Causal Discovery with Unknown Interventions

Active learning for optimal intervention design in causal models

Invariant Ancestry Search

Universal Lower Bound for Learning Causal DAGs with Atomic Interventions


python Generator of REnewable Time series and mAps


Generate realizations of stochastic processes in python.

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


cortex lab code for electrophysiology

Chronically-implanted Neuropixels probes enable high yield recordings in freely moving mice

Distance-tuned neurons drive specialized path integration calculations in medial entorhinal cortex

Mouse entorhinal cortex encodes a diverse repertoire of self-motion signals

Binocular Suppression in the Macaque Lateral Geniculate Nucleus Reveals Early Competitive Interactions between the Eyes

3D printed guide tube system for acute Neuropixels probe recordings in non-human primates


Deep Learning Toolkit for Medical Image Analysis

An overview of deep learning in medical imaging focusing on MRI

HyperDense-Net: A Hyper-Densely Connected CNN for Multi-Modal Image Segmentation

Prior-aware Neural Network for Partially-Supervised Multi-Organ Segmentation

DLTK: State of the Art Reference Implementations for Deep Learning on Medical Images

The use of deep learning in medical imaging to improve spine care: A scoping review of current literature and clinical applications


Fast Gaussian-process inference using Vecchia approximations

A General Framework for Vecchia Approximations of Gaussian Processes

A class of multi-resolution approximations for large spatial datasets

Vecchia-Laplace approximations of generalized Gaussian processes for big non-Gaussian spatial data

Computational statistics & data analysis


Repo for "Physion: Evaluating Physical Prediction from Vision in Humans and Machines", presented at NeurIPS 2021 (Datasets & Benchmarks track)

Training data-efficient image transformers & distillation through attention

Learning to Simulate Complex Physics with Graph Networks

Reusable Slotwise Mechanisms