This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

Topographic gradients of intrinsic dynamics across neocortex

Time-resolved structure-function coupling in brain networks

Human electromagnetic and haemodynamic networks systematically converge in unimodal cortex and diverge in transmodal cortex

Integrative Functional, Molecular, and Transcriptomic Analyses of Altered Intrinsic Timescale Gradient in Depression

Time-resolved network control analysis links reduced control energy under DMT with the serotonin 2a receptor, signal diversity, and subjective experience

Hierarchical decoupling of electromagnetic and haemodynamic cortical networks


A comprehensive benchmark for Graph Structure Learning.

Iterative Deep Graph Learning for Graph Neural Networks: Better and Robust Node Embeddings

Graph-Revised Convolutional Network

Compact Graph Structure Learning via Mutual Information Compression

SE-GSL: A General and Effective Graph Structure Learning Framework through Structural Entropy Optimization

OpenGSL: A Comprehensive Benchmark for Graph Structure Learning


Free football data from StatsBomb

Expected passes

Flexible marked spatio-temporal point processes with applications to event sequences from association football

Learning Football Body-Orientation as a Matter of Classification

Distances for Comparing Multisets and Sequences

A Strategic Framework for Optimal Decisions in Football 1-vs-1
  Shot-Taking Situations: An Integrated Approach of Machine Learning,
  Theory-Based Modeling, and Game Theory


Reinforcement Learning Testbed for Power Consumption Optimization using EnergyPlus

Building HVAC Scheduling Using Reinforcement Learning via Neural Network Based Model Approximation

Reinforcement Learning Testbed for Power-Consumption Optimization


Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

A Troubling Analysis of Reproducibility and Progress in Recommender Systems Research

ACM transactions on office information systems

Split Computing and Early Exiting for Deep Learning Applications: Survey and Research Challenges

torchdistill: A Modular, Configuration-Driven Framework for Knowledge Distillation

Reproducible Research in Pattern Recognition

Yet Another ICU Benchmark: A Flexible Multi-Center Framework for
  Clinical ML


HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

WaveGlow: A Flow-based Generative Network for Speech Synthesis

FastSpeech: Fast, Robust and Controllable Text to Speech

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

A Survey on Neural Speech Synthesis

Non-Autoregressive Neural Text-to-Speech

WaveFlow: A Compact Flow-based Model for Raw Audio

BDDM: Bilateral Denoising Diffusion Models for Fast and High-Quality
  Speech Synthesis

Text-Free Image-to-Speech Synthesis Using Learned Segmental Units

Fre-GAN: Adversarial Frequency-consistent Audio Synthesis


Analysis ready CMIP6 data in python the easy way with pangeo tools.


A BERT-like deep language model for protein sequences.

ProteinBERT: A universal deep-learning model of protein sequence and function

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

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

PortPred: exploiting deep learning embeddings of amino acid sequences for the identification of transporter proteins and their substrates


A Python library for adversarial machine learning focusing on benchmarking adversarial robustness.

Benchmarking Adversarial Robustness on Image Classification

A Comprehensive Study on Robustness of Image Classification Models:
  Benchmarking and Rethinking

Towards Defending Multiple
    ℓ _p
-Norm Bounded Adversarial Perturbations via Gated Batch Normalization

DISCO: Adversarial Defense with Local Implicit Functions

RobFR: Benchmarking Adversarial Robustness on Face Recognition

Geometrically Adaptive Dictionary Attack on Face Recognition

Adversarial Attacks on ML Defense Models Competition

Automated Decision-based Adversarial Attacks

Evaluating Adversarial Robustness on Document Image Classification


PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

Momentum Contrast for Unsupervised Visual Representation Learning

Improved Baselines with Momentum Contrastive Learning

Understanding Contrastive Representation Learning through Geometry on the Hypersphere

Contrastive Learning with Hard Negative Samples

Hard Negative Mixing for Contrastive Learning

CoST: Contrastive Learning of Disentangled Seasonal-Trend
  Representations for Time Series Forecasting

See through Gradients: Image Batch Recovery via GradInversion

Instance Localization for Self-supervised Detection Pretraining

The Unsurprising Effectiveness of Pre-Trained Vision Models for Control

8-bit Optimizers via Block-wise Quantization


LZFSE compression library and command line tool

Interpretation-enabled Software Reuse Detection Based on a Multi-Level
  Birthmark Model

Lightweight compression with encryption based on Asymmetric Numeral
  Systems

A Review of the Asymmetric Numeral System and Its Applications to Digital Images

Fat Pointers for Temporal Memory Safety of C

The Efficiency of the ANS Entropy Encoding


A static analyzer for PE executables.

Analysis of Machine Learning Approaches to Packing Detection

ASPIRE: Automated Security Policy Implementation Using Reinforcement Learning.

Transferable Cost-Aware Security Policy Implementation for Malware Detection Using Deep Reinforcement Learning


[ICLR 2022] Official implementation of the paper "DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR"

DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object
  Detection

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation

To Make Yourself Invisible with Adversarial Semantic Contours


Bandwidth Monitor NG is a small and simple console-based live network and disk io bandwidth monitor for Linux, BSD, Solaris, Mac OS X and others.

DTN7: An Open-Source Disruption-tolerant Networking Implementation of Bundle Protocol 7

An Approach to Reinforce Multipath TCP with Path-Aware Information

Dynamic QoS Management for a Flexible 5G/6G Network Core: A Step toward a Higher Programmability

G-SINC: Global Synchronization Infrastructure for Network Clocks


Metadata, scripts and baselines for the MTG-Jamendo dataset

Evaluation of CNN-based Automatic Music Tagging Models

Learning music audio representations via weak language supervision

Supervised and Unsupervised Learning of Audio Representations for Music Understanding

Music theme recognition using CNN and self-attention


Hardnet descriptor model - "Working hard to know your neighbor's margins:  Local descriptor learning loss"

Local Descriptors Optimized for Average Precision

From handcrafted to deep local features

Review of Wide-Baseline Stereo Image Matching Based on Deep Learning

Compression of descriptor models for mobile applications

Learning and Crafting for the Wide Multiple Baseline Stereo


LibRadar - A detecting tool for 3rd-party libraries in Android apps.

Beyond Google Play: A Large-Scale Comparative Study of Chinese Android App Markets

FraudDroid: Automated Ad Fraud Detection for Android Apps

A Study on the Vulnerabilities of Mobiles Apps associated with Software Modules


informatiCup 2017 - GitHub Repository Classifier

Antipatterns in Software Classification Taxonomies

GitRanking: A ranking of GitHub topics for software classification using active sampling

LabelGit: A Dataset for Software Repositories Classification using
  Attributed Dependency Graphs


A minimalistic framework for Numerical Association Rule Mining

A brief overview of swarm intelligence-based algorithms for numerical
  association rule mining

Improved Nature-Inspired Algorithms for Numeric Association Rule Mining

International Conference on Intelligent Computing

Population-based metaheuristics for Association Rule Text Mining

Visualization of Numerical Association Rules by Hill Slopes


Jetstream compatible workflow template supporting comprehensive analysis of human sequencing data against GRCh38

Therapeutic HDAC inhibition in hypermutant diffuse intrinsic pontine glioma


A repo for our peak baggin code and tips on jam

Chronologically dating the early assembly of the Milky Way

Prospects for Galactic and stellar astrophysics with asteroseismology of giant stars in the TESS continuous viewing zones and beyond

Monthly Notices of the Royal Astronomical Society

Investigating surface correction relations for RGB stars

Monthly notices of the Royal Astronomical Society

PBjam: A Python Package for Automating Asteroseismology of Solar-like Oscillators

CORALIE radial-velocity search for companions around evolved stars (CASCADES)

Improving Power Spectral Estimation using Multitapering: Precise
  asteroseismic modeling of stars, exoplanets, and beyond


Moola optimisation package

Automatic shape derivatives for transient PDEs in FEniCS and Firedrake

An iteration count estimate for a mesh-dependent steepest descent method based on finite elements and Riesz inner product representation

Another source of mesh dependence in topology optimization


Neural Machine Translation with Keras

Active Learning for Interactive Neural Machine Translation of Data Streams

Online Learning for Effort Reduction in Interactive Neural Machine Translation

Adapting Neural Machine Translation with Parallel Synthetic Data

Proceedings of the Second Conference on Machine Translation

deepQuest: A Framework for Neural-based Quality Estimation

International Conference on Computational Linguistics

Low-Resource Machine Transliteration Using Recurrent Neural Networks

Online Learning for Neural Machine Translation Post-editing

NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning

The Prague Bulletin of Mathematical Linguistics


Awesome Domain Adaptation Python Toolbox

Unsupervised Domain Adaptation by Backpropagation

Adversarial Discriminative Domain Adaptation

Learning and Transferring Mid-Level Image Representations using Convolutional Neural Networks

HAL (Le Centre pour la Communication Scientifique Directe)

Conditional Adversarial Domain Adaptation

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

Wasserstein Distance Guided Representation Learning for Domain Adaptation

Unified Deep Supervised Domain Adaptation and Generalization

Bridging Theory and Algorithm for Domain Adaptation

Correlation Alignment for Unsupervised Domain Adaptation

Learn on Source, Refine on Target: A Model Transfer Learning Framework with Random Forests

IEEE transactions on pattern analysis and machine intelligence


Utilities for astronomical spectral energy distributions

Stellar Population Inference with Prospector

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

High-redshift JWST predictions from IllustrisTNG: dust modelling and galaxy luminosity functions

High-redshift JWST predictions from IllustrisTNG: II. Galaxy line and continuum spectral indices and dust attenuation curves

High-redshift predictions from IllustrisTNG – III. Infrared luminosity functions, obscured star formation, and dust temperature of high-redshift galaxies

The Dragonfly Wide Field Survey. II. Accurate Total Luminosities and Colors of Nearby Massive Galaxies and Implications for the Galaxy Stellar-mass Function

Starduster: A Multiwavelength SED Model Based on Radiative Transfer Simulations and Deep Learning

The SPHINX Public Data Release: Forward Modelling High-Redshift JWST Observations with Cosmological Radiation Hydrodynamics Simulations


A Cloud Model for Exoplanets and Brown Dwarfs

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

Cloudy and Cloud-free Thermal Phase Curves with PICASO: Applications to WASP-43b

Cloud Parameterizations and their Effect on Retrievals of Exoplanet Reflection Spectroscopy

JWST-TST DREAMS: Quartz Clouds in the Atmosphere of WASP-17b

The Emission Spectrum of the Hot Jupiter WASP-79b from HST/WFC3


An online tool for forest management scenario planning


EOSIO Documents

A Survey of Distributed Consensus Protocols for Blockchain Networks

IEEE Communications surveys and tutorials/IEEE communications surveys and tutorials

Survey: Sharding in Blockchains

A Case Study for Blockchain in Manufacturing: "FabRec": A Prototype for Peer-to-Peer Network of Manufacturing Nodes

Trade-offs between Distributed Ledger Technology Characteristics

SoK of Used Cryptography in Blockchain

IDMoB: IoT Data Marketplace on Blockchain

A Survey of Smart Contract Formal Specification and Verification

Smart Contract Security: A Software Lifecycle Perspective

Blockchain and cryptocurrencies: A classification and comparison of architecture drivers

Research on Progress of Blockchain Consensus Algorithm: A Review on Recent Progress of Blockchain Consensus Algorithms


Python version of Barycorr

Python Leap Second Management and Implementation of Precise Barycentric Correction (barycorrpy)

Radial Velocity Measurements of HR 8799 b and c with Medium Resolution Spectroscopy

Medium-resolution spectrum of the exoplanet HIP 65426 b

The CARMENES search for exoplanets around M dwarfs. Guaranteed time
  observations Data Release 1 (2016-2020)

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

TOI-1759 b: A transiting sub-Neptune around a low mass star characterized with SPIRou and TESS

Constraints on accretion disk size in the massive type 1 quasar PG 2308+098 from optical continuum reverberation lags

Publications of the Astronomical Society of Japan

The SPIRou Legacy Survey Rotation period of quiet M dwarfs from circular
  polarization in near-infrared spectral lines: I. The SPIRou APERO analysis

Optical and near-infrared stellar activity characterization of the early M dwarf Gl 205 with SOPHIE and SPIRou


AtomDB project (www.atomdb.org)

PyAtomDB: Extending the AtomDB Atomic Database to Model New Plasma Processes and Uncertainties

Plasma Diagnostics of the Supernova Remnant N132D using Deep XMM-Newton Observations with the Reflection Grating Spectrometer

XMM-Newton RGS Spectroscopy of the M31 Bulge. I. Evidence for a Past AGN Half a Million Years Ago

R-matrix electron-impact excitation data for the H- and He-like ions
  with Z=6-30

New radiative loss curve from updates to collisional excitation in the low-density, optically thin plasmas in SPEX


A Python wrapper of the Yandex Mystem 3.1 morphological analyzer (http://api.yandex.ru/mystem). The original tool is shipped as a binary and this library makes it easy to integrate it in Python projects. Let us know in the issues if you would like to be involved into the developments or maintenance of this project. If you have any fix or suggestion, please make a pull request. We are very open to accepting any contributions.

Creating an Aligned Russian Text Simplification Dataset from Language Learner Data

Workshop on Balto-Slavic Natural Language Processing

Entity Recognition and Relation Extraction from Scientific and Technical Texts in Russian

Russian trolls speaking Russian: Regional Twitter operations and MH17

Towards annotation of text worlds in a literary work


A library for performing image registration using deep learning, regularized by inverse consistency

ICON: Learning Regular Maps Through Inverse Consistency

GradICON: Approximate Diffeomorphisms via Gradient Inverse Consistency


Robust realtime face and facial landmark tracking on CPU with Unity integration

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Searching for MobileNetV3

ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design

Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression

FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset

AvatarMAV: Fast 3D Head Avatar Reconstruction Using Motion-Aware Neural Voxels


A Python package for modelling the Australian National Electricity Market dispatch procedure


Kernel Density Estimation in Python

Efficient statistical classification of satellite measurements

Metal-enriched halo gas across galaxy overdensities over the last 10 billion years

Mass-sensitive particle tracking (MSPT) to elucidate the membrane-associated MinDE reaction cycle

Antibacterial peptide CyclomarinA creates toxicity by deregulating the Mycobacterium tuberculosis ClpC1–ClpP1P2 protease

The Distribution of Pelvic Nodal Metastases in Prostate Cancer Reveals Potential to Advance and Personalize Pelvic Radiotherapy

Parameter Estimation for RANS Models Using Approximate Bayesian Computation


Leaf: A Benchmark for Federated Settings

LEAF: A Benchmark for Federated Settings

Adaptive Risk Minimization: Learning to Adapt to Domain Shift

Overcoming Noisy and Irrelevant Data in Federated Learning

Federated Hyperparameter Tuning: Challenges, Baselines, and Connections to Weight-Sharing

Cluster-driven Graph Federated Learning over Multiple Domains

Curse or Redemption? How Data Heterogeneity Affects the Robustness of Federated Learning

FedEval: A Holistic Evaluation Framework for Federated Learning

Motley: Benchmarking Heterogeneity and Personalization in Federated
  Learning

EasyFL: A Low-Code Federated Learning Platform for Dummies

Demystifying Why Local Aggregation Helps: Convergence Analysis of Hierarchical SGD


Python library for modeling contrails and other aviation climate impacts


Marine carbonate system calculations in Python

PyCO2SYS v1.8: marine carbonate system calculations in Python

PyCO2SYS: marine carbonate system calculations in Python

Geoscientific Model Development Discussions


Battenberg algorithm and associated implementation script

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

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

APOBEC3-dependent kataegis and TREX1-driven chromothripsis during telomere crisis

Tumor to normal single cell mRNA comparisons reveal a pan-neuroblastoma cancer cell

Spatial genomics maps the structure, nature and evolution of cancer clones

Comprehensive molecular comparison of BRCA1 hypermethylated and BRCA1 mutated triple negative breast cancers

Prostate cancer evolution from multilineage primary to single lineage metastases with implications for liquid biopsy

Single cell derived mRNA signals across human kidney tumors

Quantifying the influence of mutation detection on tumour subclonal reconstruction

Defining the origin, evolution, and immune composition of SDH-deficient renal cell carcinoma


A set of tools for processing Quantitative MR Images

hMRI – A toolbox for quantitative MRI in neuroscience and clinical research

Behavioral, neuroanatomical, and molecular correlates of resilience and susceptibility to maternal immune activation

Whole-brain ex-vivo quantitative MRI of the cuprizone mouse model

Peripheral inflammation is associated with micro-structural and functional connectivity changes in depression-related brain networks

Individual behavioral trajectories shape whole-brain connectivity in mice

Mapping the impact of exposure to maternal immune activation on juvenile Wistar rat brain macro- and microstructure during early post-natal development


Fast N-body gravitational force and potential in Python

A model for the formation of stellar associations and clusters from giant molecular clouds

Evolution of giant molecular clouds across cosmic time

Pressure balance in the multiphase ISM of cosmologically simulated disc galaxies

Morphological decomposition of TNG50 galaxies: methodology and catalogue

LMGC90: a Contact Dynamics open source code for the simulation of granular asteroid with realistic regolith shapes. Application to the accretion process


The repository for the Sustainable Development Goals Interface Ontology

The environment ontology in 2016: bridging domains with increased scope, semantic density, and interoperation

Context Is Everything: Harmonization of Critical Food Microbiology Descriptors and Metadata for Improved Food Safety and Surveillance

Deep Learning Based Multi-Label Text Classification of UNGA Resolutions

International Conference on Theory and Practice of Electronic Governance

Ontologies for geospatial information: Progress and challenges ahead


Creative Commons Attribution 4.0 International

Extended state-space SIR epidemiological models

Predictions, role of interventions and effects of a historic national lockdown in India’s response to the COVID-19 pandemic: data science call to arms

A Review of Multi-Compartment Infectious Disease Models

International statistical review = Revue internationale de statistique

A comparison of five epidemiological models for transmission of SARS-CoV-2 in India

An epidemiological forecast model and software assessing interventions on the COVID-19 epidemic in China

New Approach to Policy Effectiveness for Covid-19 and Factors Influence
  Policy Effectiveness


Library for multidimensional numerical integration with four independent algorithms: Vegas, Suave, Divonne, and Cuhre.

Standard Model Theory for the FCC-ee Tera-Z stage

Renormalization of symmetry restricted spin foam models with curvature in the asymptotic regime

Emergence of spacetime in a restricted spin-foam model

Numerical evaluation of spin foam amplitudes beyond simplices

MLPGradientFlow: going with the flow of multilayer perceptrons (and
  finding minima fast and accurately)


Nidhugg is a bug-finding tool which targets bugs caused by concurrency and relaxed memory consistency in concurrent programs. It is particularly useful for programs written in C/pthreads. Currently Nidhugg supports the SC, TSO, PSO, POWER and ARM (partial) memory models.

Stateless Model Checking for TSO and PSO

Stateless Model Checking for POWER

Data-centric Dynamic Partial Order Reduction

Is Parallel Programming Hard, And, If So, What Can You Do About It?
  (Release v2023.06.11a)


[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera
  Images via Spatiotemporal Transformers

BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision

UniSim: A Neural Closed-Loop Sensor Simulator

Delving into the Devils of Bird's-eye-view Perception: A Review,
  Evaluation and Recipe

DFA3D: 3D Deformable Attention For 2D-to-3D Feature Lifting


The Tractor: measuring astronomical sources via probabilistic inference

Overview of the DESI Legacy Imaging Surveys

The DESI Experiment Part I: Science,Targeting, and Survey Design

First Discoveries of z > 6 Quasars with the DECam Legacy Survey and UKIRT Hemisphere Survey

The Circumgalactic Medium of eBOSS Emission Line Galaxies: Signatures of Galactic Outflows in Gas Distribution and Kinematics

The SDSS-IV extended Baryon Oscillation Spectroscopic Survey: final emission line galaxy target selection

Galaxy clustering in the DESI Legacy Survey and its imprint on the CMB

Variations in the Width, Density, and Direction of the Palomar 5 Tidal Tails

Preliminary Target Selection for the DESI Bright Galaxy Survey (BGS)

The Coevolution of Galaxies and the Cool Circumgalactic Medium Probed with the SDSS and DESI Legacy Imaging Surveys

Mining for Strong Gravitational Lenses with Self-supervised Learning


Efficient Image Captioning code in Torch, runs on GPU

Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization

International journal of computer vision

Building Machines That Learn and Think Like People

Towards Diverse and Natural Image Descriptions via a Conditional GAN

Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models

Regularizing Deep Neural Networks by Noise: Its Interpretation and Optimization

Diverse and Accurate Image Description Using a Variational Auto-Encoder with an Additive Gaussian Encoding Space

Context-aware Captions from Context-agnostic Supervision

An Empirical Study of Language CNN for Image Captioning

Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning

Deep Metric Learning Beyond Binary Supervision


a distributed Hyperband implementation on Steroids

AutoML: A survey of the state-of-the-art

BOHB: Robust and Efficient Hyperparameter Optimization at Scale

NAS-Bench-101: Towards Reproducible Neural Architecture Search

Benchmark and Survey of Automated Machine Learning Frameworks

Well-tuned Simple Nets Excel on Tabular Datasets

Learning Search Space Partition for Black-box Optimization using Monte Carlo Tree Search

Tabular Benchmarks for Joint Architecture and Hyperparameter Optimization

HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO

Neural Ensemble Search for Uncertainty Estimation and Dataset Shift

DEHB: Evolutionary Hyberband for Scalable, Robust and Efficient Hyperparameter Optimization


Characterization of Germline variants

Comprehensive characterization of 536 patient-derived xenograft models prioritizes candidates for targeted treatment

CharGer: clinical Characterization of Germline variants


LOWTRAN atmospheric absorption extinction, scatter and irradiance model--in Python and Matlab


Official code for BEVDepth.

BEVDepth: Acquisition of Reliable Depth for Multi-view 3D Object
  Detection

BEVStereo: Enhancing Depth Estimation in Multi-view 3D Object Detection
  with Dynamic Temporal Stereo

CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception

MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D Perception

aiMotive Dataset: A Multimodal Dataset for Robust Autonomous Driving
  with Long-Range Perception


A Deep Graph-based Toolbox for Fraud Detection

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

A Semi-supervised Graph Attentive Network for Financial Fraud Detection

Heterogeneous Graph Neural Networks for Malicious Account Detection

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

International Conference on Information and Knowledge Management

GeniePath: Graph Neural Networks with Adaptive Receptive Paths

Spam Review Detection with Graph Convolutional Networks

PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)

Alleviating the Inconsistency Problem of Applying Graph Neural Network to Fraud Detection

PROCEEDINGS OF THE 43RD INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '20)

Rethinking Graph Neural Networks for Anomaly Detection

Improving Fraud Detection via Hierarchical Attention-based Graph Neural
  Network


Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

CNN Features off-the-shelf: an Astounding Baseline for Recognition

Colorful Image Colorization

Deep Koalarization: Image Colorization using CNNs and Inception-ResNet-v2


SHIFT15M: Fashion-specific dataset for set-to-set matching with several distribution shifts

Datasheets for Datasets

Exchangeable deep neural networks for set-to-set matching and learning

Multimodal Quasi-AutoRegression: forecasting the visual popularity of new fashion products

SHIFT15M: Multiobjective Large-Scale Fashion Dataset with Distributional Shifts.


TEXTOIR is the first opensource toolkit for text open intent recognition. (ACL 2021)

A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks

An Evaluation Dataset for Intent Classification and Out-of-Scope Prediction

Efficient Intent Detection with Dual Sentence Encoders

New Intent Discovery with Pre-training and Contrastive Learning

TEXTOIR: An Integrated and Visualized Platform for Text Open Intent Recognition

Известия Самарского научного центра Российской академии наук

Learning Discriminative Representations and Decision Boundaries for Open Intent Detection

A Clustering Framework for Unsupervised and Semi-supervised New Intent Discovery

Explaining Why: How Instructions and User Interfaces Impact Annotator Rationales When Labeling Text Data


Little Ball of Fur - A graph sampling extension library for NetworKit and NetworkX (CIKM 2020)

Walking in Facebook: A Case Study of Unbiased Sampling of OSNs

International Conference on Computer Communications

Network Sampling: From Static to Streaming Graphs

On random walk based graph sampling

International Conference on Data Engineering

Fast Sequence-Based Embedding with Diffusion Graphs

Sampling social networks using shortest paths

Walking with Perception: Efficient Random Walk Sampling via Common Neighbor Awareness

Little Ball of Fur: A Python Library for Graph Sampling

Leveraging History for Faster Sampling of Online Social Networks

Spikyball sampling: Exploring large networks via an inhomogeneous filtered diffusion


Gradient based hyperparameter optimization & meta-learning package for TensorFlow

Forward and Reverse Gradient-Based Hyperparameter Optimization

Learning Discrete Structures for Graph Neural Networks

Truncated Back-propagation for Bilevel Optimization

A Bridge Between Hyperparameter Optimization and Learning-to-learn

Boml: A Modularized Bilevel Optimization Library In Python For Meta Learning

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

Far-HO: A Bilevel Programming Package for Hyperparameter Optimization and Meta-Learning.


Learning Sparse Nonparametric DAGs

Causal Discovery with Reinforcement Learning

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

DAGs with No Fears: A Closer Look at Continuous Optimization for Learning Bayesian Networks

DAGs with No Curl: An Efficient DAG Structure Learning Approach

DAGMA: Learning DAGs via M-matrices and a Log-Determinant Acyclicity
  Characterization

On Low Rank Directed Acyclic Graphs and Causal Structure Learning

Efficient Bayesian network structure learning via local Markov boundary search

Structure learning in polynomial time: Greedy algorithms, Bregman information, and exponential families

GFlowCausal: Generative Flow Networks for Causal Discovery


PyTorch extensions for fast R&D prototyping and Kaggle farming

Fully convolutional Siamese neural networks for buildings damage
  assessment from satellite images

Unsupervised Segmentation in NSCLC: How to Map the Output of Unsupervised Segmentation to Meaningful Histological Labels by Linear Combination?

A Transferable Learning Classification Model and Carbon Sequestration Estimation of Crops in Farmland Ecosystem


Neural Network Force Field based on PyTorch

Equivariant message passing for the prediction of tensorial properties and molecular spectra

GEOM: Energy-annotated molecular conformations for property prediction and molecular generation

Towards universal neural network potential for material discovery applicable to arbitrary combination of 45 elements

Differentiable sampling of molecular geometries with uncertainty-based adversarial attacks

Molecular machine learning with conformer ensembles

Excited state non-adiabatic dynamics of large photoswitchable molecules using a chemically transferable machine learning potential

Thermal Half-Lives of Azobenzene Derivatives: Virtual Screening Based on Intersystem Crossing Using a Machine Learning Potential

Effect of framework composition and NH3 on the diffusion of Cu+ in
  Cu-CHA catalysts predicted by machine-learning accelerated molecular dynamics

Learning a reactive potential for silica-water through uncertainty
  attribution


Inference of ploidy and heterozygosity structure using whole genome sequencing data

GenomeScope 2.0 and Smudgeplot for reference-free profiling of polyploid genomes

Genomic Features of Parthenogenetic Animals

Genome size evolution in the diverse insect order Trichoptera

Maintenance of Species Differences in Closely Related Tetraploid Parasitic Euphrasia (Orobanchaceae) on an Isolated Island

Genomic Resources for Goniozus legneri, Aleochara bilineata and Paykullia maculata, Representing Three Independent Origins of the Parasitoid Lifestyle in Insects

Eukaryotic Adaptation to Years-Long Starvation Resembles that of Bacteria

Genomic Insights into Cultivated Mexican Vanilla planifolia Reveal High Levels of Heterozygosity Stemming from Hybridization

Intraspecific Variation in Protists: Clues for Microevolution from Poteriospumella lacustris (Chrysophyceae)

Amynthas corticis genome reveals molecular mechanisms behind global distribution


Is-Vegan helps you to find out which food ingredients are vegan / non-vegan


InferSent sentence embeddings

Skip-Thought Vectors

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Universal Sentence Encoder

Is BERT Really Robust? A Strong Baseline for Natural Language Attack on Text Classification and Entailment

What you can cram into a single vector: Probing sentence embeddings for
  linguistic properties

SentEval: An Evaluation Toolkit for Universal Sentence Representations

Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks

e-SNLI: Natural Language Inference with Natural Language Explanations

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

Dialogue Natural Language Inference


Uncertainty Quantification 360 (UQ360) is an extensible open-source toolkit that can help you estimate, communicate and use uncertainty in machine learning model predictions.

Building Calibrated Deep Models via Uncertainty Matching with Auxiliary Interval Predictors

Uncertainty Quantification 360: A Holistic Toolkit for Quantifying and Communicating the Uncertainty of AI.

Data-SUITE: Data-centric identification of in-distribution incongruous
  examples

Data-IQ: Characterizing subgroups with heterogeneous outcomes in tabular
  data

MAPIE: an open-source library for distribution-free uncertainty
  quantification

Uncertainty Characteristics Curves: A Systematic Assessment of Prediction Intervals

Uncertainty Quantification 360: A Hands-on Tutorial

Proceedings of the 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD)

TRIAGE: Characterizing and auditing training data for improved
  regression


An open-source NLP research library, built on PyTorch.

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Language Models as Knowledge Bases?

Pre-trained models for natural language processing: A survey

AllenNLP: A Deep Semantic Natural Language Processing Platform

Annotation Artifacts in Natural Language Inference Data

GPT-NeoX-20B: An Open-Source Autoregressive Language Model

ELI5: Long Form Question Answering

Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction

From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers

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

Assessing Social and Intersectional Biases in Contextualized Word Representations


Measuring the atmospheric neutrino oscillation parameters and constraining the 3+1 neutrino model with ten years of ANTARES data

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

Letter of interest for a neutrino beam from Protvino to KM3NeT/ORCA

Sensitivity to light sterile neutrino mixing parameters with KM3NeT/ORCA

Search for non-standard neutrino interactions with 10 years of ANTARES data

Super-ORCA: Measuring the leptonic CP-phase with Atmospheric Neutrinos and Beam Neutrinos

Neutrino tagging: a new tool for accelerator based neutrino experiments

Unveiling the outer core composition with neutrino oscillation tomography

The ANTARES Collaboration: Contributions to ICRC 2017 Part III: Searches for dark matter and exotics, neutrino oscillations and detector calibration


Opportunistic Protocol Simulator

Simulating Opportunistic Networks: Survey and Future Directions

Opportunistic Networking Protocol Simulator for OMNeT

My Smartphone tattles: Considering Popularity of Messages in Opportunistic Data Dissemination

Reactive User Behavior and Mobility Models.


Molecular Sets (MOSES): A Benchmarking Platform for Molecular Generation Models

GuacaMol: Benchmarking Models for De Novo Molecular Design

Journal of chemical information and modeling

Hierarchical Generation of Molecular Graphs using Structural Motifs

A Model to Search for Synthesizable Molecules

Language models can learn complex molecular distributions

Optimizing Functionals on the Space of Probabilities with Input Convex
  Neural Networks

Generative Chemical Transformer: Neural Machine Learning of Molecular Geometric Structures from Chemical Language via Attention

Potent antibiotic design via guided search from antibacterial activity evaluations

Targeting SARS-CoV-2 with AI- and HPC-enabled Lead Generation: A First Data Release

PETrans: De Novo Drug Design with Protein-Specific Encoding Based on Transfer Learning

International journal of molecular sciences


ACCESS-OM2 global ocean - sea ice coupled model configurations.

ACCESS-OM2 v1.0: a global ocean–sea ice model at three resolutions

Drivers and distribution of global ocean heat uptake over the last half century

Recent reduced abyssal overturning and ventilation in the Australian Antarctic Basin

Persistence and material coherence of a mesoscale ocean eddy

Weddell Sea Control of Ocean Temperature Variability on the Western Antarctic Peninsula


Geo Spatial Data Analytics on Spark

A Survey on Spatio-temporal Data Analytics Systems

LocationSpark: In-memory Distributed Spatial Query Processing and Optimization

Adaptive Geospatial Joins for Modern Hardware

PARALLEL PROCESSING OF BIG POINT CLOUDS USING Z-ORDER-BASED PARTITIONING

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

Three-dimensional Geospatial Interlinking with JedAI-spatial

APRIL: Approximating Polygons as Raster Interval Lists


Evaluate your speech-to-text system with similarity measures such as word error rate (WER)

Applying speech technologies to assess verbal memory in patients with serious mental illness

StoRM: A Diffusion-Based Stochastic Regeneration Model for Speech Enhancement and Dereverberation

A Time-Frequency Attention Module for Neural Speech Enhancement

IEEE/ACM transactions on audio, speech, and language processing

TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables

Exploiting Biased Models to De-bias Text: A Gender-Fair Rewriting Model

SubER - A Metric for Automatic Evaluation of Subtitle Quality

Using automated syllable counting to detect missing information in speech transcripts from clinical settings

Thai Wav2Vec2.0 with CommonVoice V8

Can Visual Context Improve Automatic Speech Recognition for an Embodied Agent?

The University of Edinburgh's Submission to the WMT22 Code-Mixing Shared
  Task (MixMT)


Quantitative Constraints on the Reionization History from the IGM Damping Wing Signature in Two Quasars at z > 7

Enhanced Global Signal of Neutral Hydrogen Due to Excess Radiation at Cosmic Dawn

Inferring the astrophysics of reionization and cosmic dawn from galaxy luminosity functions and the 21-cm signal

Monthly notices of the Royal Astronomical Society

Data Analysis for Precision 21 cm Cosmology

Publications of the Astronomical Society of the Pacific

A Simplified, Lossless Reanalysis of PAPER-64

Deep learning from 21-cm tomography of the Cosmic Dawn and Reionization

Emulating Simulations of Cosmic Dawn for 21 cm Power Spectrum Constraints on Cosmology, Reionization, and X-Ray Heating

High mass X-ray binaries: Beacons in a stormy universe

Proceedings of the International Astronomical Union. International Astronomical Union

21CMMC with a 3D light-cone: the impact of the co-evolution approximation on the astrophysics of reionization and cosmic dawn

Monthly Notices of the Royal Astronomical Society

Simultaneously constraining the astrophysics of reionisation and the epoch of heating with 21CMMC


Tangle 2.0 Leaderless Nakamoto Consensus on the Heaviest DAG

Robustness of the Tangle 2.0 Consensus

Stability of local tip pool sizes


Qubit Simulation and Optimal Control for Quantum Systems

qopt: An experiment-oriented Qubit Simulation and Quantum Optimal Control Package

Analytic Filter-Function Derivatives for Quantum Optimal Control

Filter-function formalism and software package to compute quantum processes of gate sequences for classical non-Markovian noise


R Climate AEMET Tools


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

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

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


PyTorch implementation of SLAYER for training Spiking Neural Networks

SLAYER: Spike Layer Error Reassignment in Time

Event-Based Angular Velocity Regression with Spiking Networks

NxTF: An API and Compiler for Deep Spiking Neural Networks on Intel Loihi

Online Few-shot Gesture Learning on a Neuromorphic Processor

Axonal Delay as a Short-Term Memory for Feed Forward Deep Spiking Neural Networks

SpikePropamine: Differentiable Plasticity in Spiking Neural Networks

Event-Driven Tactile Learning with Location Spiking Neurons


The RMLStreamer executes RML rules to generate high quality Linked Data from multiple originally (semi-)structured data sources in a streaming way.

FunMap: Efficient Execution of Functional Mappings for Knowledge Graph Creation

Declarative RDF graph generation from heterogeneous (semi-)structured data: A systematic literature review

R2RML and RML Comparison for RDF Generation, their Rules Validation and Inconsistency Resolution

RMLStreamer-SISO: An RDF Stream Generator from Streaming Heterogeneous Data


a python package for gravitational wave analysis with the F-statistic

emcee: The MCMC Hammer

Dynamic temperature selection for parallel tempering in Markov chain Monte Carlo simulations

Hierarchical multistage MCMC follow-up of continuous gravitational wave candidates

SWIGLAL: Python and Octave interfaces to the LALSuite gravitational-wave data analysis libraries

Application of a hierarchical MCMC follow-up to Advanced LIGO continuous gravitational-wave candidates

PyFstat: a Python package for continuous gravitational-wave data analysis

Faster search for long gravitational-wave transients: GPU implementation of the transient F-statistic

A semicoherent glitch-robust continuous-gravitational-wave search method


Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.

Real-ESRGAN: Training Real-World Blind Super-Resolution with Pure Synthetic Data

Finetuned Super-Resolution Generative Adversarial Network (Artificial Intelligence) Model for Calcium Deblooming in Coronary Computed Tomography Angiography

Perceptual Artifacts Localization for Image Synthesis Tasks


[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Hardware-Centric AutoML for Mixed-Precision Quantization

L2NAS: Learning to Optimize Neural Architectures via Continuous-Action Reinforcement Learning

PROCEEDINGS OF THE 30TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT, CIKM 2021

Profiling Neural Blocks and Design Spaces for Mobile Neural Architecture Search

Task-Adaptive Neural Network Search with Meta-Contrastive Learning

A Hardware-Aware Framework for Accelerating Neural Architecture Search
  Across Modalities


The Catalogue of Life

An audit of some processing effects in aggregated occurrence records


Posterior summarisation in Bayesian phylogenetics

Posterior Summarization in Bayesian Phylogenetics Using Tracer 1.7

The Prevotella copri Complex Comprises Four Distinct Clades Underrepresented in Westernized Populations

From asymmetrical to balanced genomic diversification during rediploidization: Subgenomic evolution in allotetraploid fish

New genera and species from the Equatorial Pacific provide phylogenetic insights into deep-sea Polynoidae (Annelida)

Zoological journal of the Linnean Society

Systematic Culturomics Shows that Half of Chicken Caecal Microbiota Members can be Grown in Vitro Except for Two Lineages of Clostridiales and a Single Lineage of Bacteroidetes

Different rates of pollen and seed gene flow cause branch‐length and geographic cytonuclear discordance within Asian butternuts

A Novel and Divergent Gyrovirus with Unusual Genomic Features Detected in Wild Passerine Birds from a Remote Rainforest in French Guiana

Genetic Characteristic and Global Transmission of Influenza A H9N2 Virus

Phylogeographic structure and ecological niche modelling reveal signals of isolation and postglacial colonisation in the European stag beetle

Phylogenetic Analyses of Some Melanoleuca Species (Agaricales, Tricholomataceae) in Northern China, With Descriptions of Two New Species and the Identification of Seven Species as a First Record


OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning

Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting

PredRNN: Recurrent Neural Networks for Predictive Learning using Spatiotemporal LSTMs

Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal Dynamics

Eidetic 3D LSTM: A Model for Video Prediction and Beyond

International Conference on Learning Representations

Visual Attention Network

PredRNN: A Recurrent Neural Network for Spatiotemporal Predictive Learning

Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction

HorNet: Efficient High-Order Spatial Interactions with Recursive Gated
  Convolutions

SimVP: Simpler yet Better Video Prediction

Temporal Attention Unit: Towards Efficient Spatiotemporal Predictive Learning


Program for the analysis and visualization of whole-slide images in digital pathology

The importance of stain normalization in colorectal tissue classification with convolutional networks

A Fast and Refined Cancer Regions Segmentation Framework in Whole-slide Breast Pathological Images

Deep Learning Methods for Lung Cancer Segmentation in Whole-Slide Histopathology Images—The ACDC@LungHP Challenge 2019

Resolution-agnostic tissue segmentation in whole-slide histopathology images with convolutional neural networks

Development and evaluation of a deep neural network for histologic classification of renal cell carcinoma on biopsy and surgical resection slides

Automated detection of cribriform growth patterns in prostate histology images

Improving Prostate Cancer Detection with Breast Histopathology Images

Convolutional Neural Networks for the Evaluation of Chronic and Inflammatory Lesions in Kidney Transplant Biopsies

Deep Learning-Based Recognition of Different Thyroid Cancer Categories Using Whole Frozen-Slide Images

Frontiers in bioengineering and biotechnology

Interobserver variability between experienced and inexperienced observers in the histopathological analysis of Wilms tumors: a pilot study for future algorithmic approach


An open-source platform for developing protein models beyond AlphaFold.

Highly accurate protein structure prediction with AlphaFold

Uni-Fold: An Open-Source Platform for Developing Protein Folding Models beyond AlphaFold

Modelling protein complexes with crosslinking mass spectrometry and deep learning

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

Simulation and Machine Learning Methods for Ion-Channel Structure Determination, Mechanistic Studies and Drug Design

Uni-Fold Symmetry: Harnessing Symmetry in Folding Large Protein Complexes


aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)

LibriVoxDeEn: A Corpus for German-to-English Speech Translation and German Speech Recognition

Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews

M-Arg: Multimodal Argument Mining Dataset for Political Debates with Audio and Transcripts

Zenodo (CERN European Organization for Nuclear Research)

Multimodal Argument Mining: A Case Study in Political Debates

Development and Evaluation of Speech Synthesis System Based on Deep Learning Models

BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model

Creation and Detection of German Voice Deepfakes


Subtype and Stage Inference (SuStaIn) algorithm with an example using simulated data.

pySuStaIn: a Python implementation of the Subtype and Stage Inference algorithm

Multiple Sclerosis Diagnosis Using Machine Learning and Deep Learning: Challenges and Opportunities

Data-driven neuropathological staging and subtyping of TDP-43 proteinopathies

medRxiv : the preprint server for health sciences

Clustering Interval-Censored Time-Series for Disease Phenotyping

Two distinct trajectories of clinical and neurodegeneration events in Parkinson’s disease

Transferability of Alzheimer's disease progression subtypes to an independent population cohort

Distinct spatiotemporal patterns of cortical thinning in Alzheimer’s disease-type cognitive impairment and subcortical vascular cognitive impairment

Novel data-driven subtypes and stages of brain atrophy in the ALS-FTD spectrum

Uncovering distinct progression patterns of tau deposition in progressive supranuclear palsy using [18F]Florzolotau PET imaging and subtype/stage inference algorithm


The ARTIC field bioinformatics pipeline

Improvements to the ARTIC multiplex PCR method for SARS-CoV-2 genome sequencing using nanopore

bioRxiv : the preprint server for biology

Genomics and epidemiology of a novel SARS-CoV-2 lineage in Manaus, Brazil

ViralFlow: A Versatile Automated Workflow for SARS-CoV-2 Genome Assembly, Lineage Assignment, Mutations and Intrahost Variant Detection

Precision Response to the Rise of the SARS-CoV-2 B.1.1.7 Variant of Concern by Combining Novel PCR Assays and Genome Sequencing for Rapid Variant Detection and Surveillance

poreCov-An Easy to Use, Fast, and Robust Workflow for SARS-CoV-2 Genome Reconstruction via Nanopore Sequencing

Sequential Appearance and Isolation of a SARS-CoV-2 Recombinant between Two Major SARS-CoV-2 Variants in a Chronically Infected Immunocompromised Patient

Genomics of Post-Vaccination SARS-CoV-2 Infections During the Delta Dominated Second Wave of COVID-19 Pandemic, from Mumbai Metropolitan Region (MMR), India

Rapid genomic surveillance of SARS-CoV-2 in a dense urban community of Kathmandu Valley using sewage samples

Genome Sequences of SARS-CoV-2 Sublineage B.1.617.2 Strains from 12 Children in Chattogram, Bangladesh

Characterization of Severe Acute Respiratory Syndrome Coronavirus 2 Omicron Variant Shedding and Predictors of Viral Culture Positivity on Vaccinated Healthcare Workers With Mild Coronavirus Disease 2019

The journal of infectious diseases (Online. University of Chicago Press)/The Journal of infectious diseases


PacBio Assembly Tool Suite: Reads in ⇨ Assembly out

Spatial inter-centromeric interactions facilitated the emergence of evolutionary new centromeres

Pushing the limits of HiFi assemblies reveals centromere diversity between two Arabidopsis thaliana genomes

Population Genomic Approaches for Weed Science


A deep learning-based tool to identify splice variants

Predicting Splicing from Primary Sequence with Deep Learning

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

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

Interpretable prioritization of splice variants in diagnostic next-generation sequencing

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

Evaluation of both exonic and intronic variants for effects on RNA splicing allows for accurate assessment of the effectiveness of precision therapies

MCAT Mutations Cause Nuclear LHON-like Optic Neuropathy

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

Prediction of Alzheimer’s disease-specific phospholipase c gamma-1 SNV by deep learning-based approach for high-throughput screening

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

Decoding the effects of synonymous variants


[IROS'21] SurRoL: An Open-source Reinforcement Learning Centered and dVRK Compatible Platform for Surgical Robot Learning

Demonstration-Guided Reinforcement Learning with Efficient Exploration for Task Automation of Surgical Robot

Human-in-the-Loop Embodied Intelligence With Interactive Simulation Environment for Surgical Robot Learning


Official implementation of PVT series

Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions

PVT v2: Improved baselines with Pyramid Vision Transformer

TransMorph: Transformer for unsupervised medical image registration

Polyp-PVT: Polyp Segmentation with Pyramid Vision Transformers

EdgeViTs: Competing Light-weight CNNs on Mobile Devices with Vision
  Transformers

Rethinking Range View Representation for LiDAR Segmentation

Mesa: A Memory-saving Training Framework for Transformers

What Makes for Good Tokenizers in Vision Transformer?

Smooth image-to-image translations with latent space interpolations

NOAH: Learning Pairwise Object Category Attentions for Image Classification


Python client for iNaturalist


LayoutParser: A Unified Toolkit for Deep Learning Based Document Image Analysis

A Large Dataset of Historical Japanese Documents with Complex Layouts

The Semantic Scholar Open Data Platform

PP-StructureV2: A Stronger Document Analysis System

Efficient OCR for Building a Diverse Digital History

The "Collections as ML Data" Checklist for Machine Learning & Cultural
  Heritage


Plotting scripts for long read sequencing data

Computational methods for 16S metabarcoding studies using Nanopore sequencing data

Computational and structural biotechnology journal

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

Long-read metagenomics retrieves complete single-contig bacterial genomes from canine feces

Benchmarking the MinION: Evaluating long reads for microbial profiling

DNA Barcoding of Nematodes Using the MinION

Abundance tracking by long-read nanopore sequencing of complex microbial communities in samples from 20 different biogas/wastewater plants

Population Genomic Approaches for Weed Science

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

Genomic Analysis of Aeromonas veronii C198, a Novel Mcr-3.41-Harboring Isolate from a Patient with Septicemia in Thailand

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


Methods for detecting doublets in single-cell sequencing data

Doublet identification in single-cell sequencing data using scDblFinder

Single-cell RNA sequencing reveals the sustained immune cell dysfunction in the pathogenesis of sepsis secondary to bacterial pneumonia

Maturation signatures of conventional dendritic cell subtypes in COVID-19 suggest direct viral sensing.

NF-κB drives epithelial-mesenchymal mechanisms of lung fibrosis in a translational lung cell model

Comprehensive multi-omics single-cell data integration reveals greater heterogeneity in the human immune system

Reconstructing physical cell interaction networks from single-cell data using Neighbor-seq

Single-cell sequencing reveals the cell map and transcriptional network of sporadic vestibular schwannoma

PfAP2-MRP DNA-binding protein is a master regulator of parasite pathogenesis during malaria parasite blood stages

Isolation of human cutaneous immune cells for single-cell RNA sequencing


Video codec based point cloud compression (V-PCC) test model

Multiscale Point Cloud Geometry Compression

BASICS: Broad quality Assessment of Static point clouds In Compression
  Scenarios

FRAS: Federated Reinforcement Learning empowered Adaptive Point Cloud
  Video Streaming

XR Carousel: A Visualization Tool For Volumetric Video

MMSYS '21: PROCEEDINGS OF THE 2021 MULTIMEDIA SYSTEMS CONFERENCE

Point Cloud Geometry Compression Based on Multi-Layer Residual Structure

A QoE Model in Point Cloud Video Streaming

gpcgc: a green point cloud geometry coding method


Deep Learning Inferred Multiplex ImmunoFluorescence for IHC Image Quantification (https://deepliif.org) [Nature Machine Intelligence'22, CVPR'22, MICCAI'23, Histopathology'23]

Deep learning-inferred multiplex immunofluorescence for immunohistochemical image quantification

DeepLIIF: An Online Platform for Quantification of Clinical Pathology Slides

An AI-Ready Multiplex Staining Dataset for Reproducible and Accurate Characterization of Tumor Immune Microenvironment

Image Translation Based Nuclei Segmentation for Immunohistochemistry Images


Chromosome-level scaffolding using multiple references

Ragout—a reference-assisted assembly tool for bacterial genomes

Essential interpretations of bioinformatics in COVID-19 pandemic

Draft Genome Sequence of Flavobacterium sp. Strain SLB02, Isolated from the Diseased Sponge Lubomirskia baicalensis

Genome Analysis of the Janthinobacterium sp. Strain SLB01 from the Diseased Sponge of the Lubomirskia baicalensis

Complete Genome Sequence of Rhodococcus qingshengii Strain VKM Ac-2784D, Isolated from Elytrigia repens Rhizosphere

Hadza Prevotella require diet-derived microbiota-accessible carbohydrates to persist in mice

Draft Genome Sequence of the Green Microalga Chlorella sp. Strain BAC9706, Isolated from Lake Baikal, Russia

Janthinobacterium sp. Strain SLB01 as Pathogenic Bacteria for Sponge Lubomirskia baikalensis


RNA velocity estimation in Python

A single-cell transcriptomic atlas characterizes the silk-producing organ in the silkworm

The heterogeneity of mammalian utricular cells over the course of development

Microgel-based carriers enhance skeletal stem cell reprogramming towards immunomodulatory phenotype in osteoarthritic therapy


Feedforward style transfer

Instance Normalization: The Missing Ingredient for Fast Stylization

Generating Adversarial Examples with Adversarial Networks

Demystifying Neural Style Transfer

Controlling Perceptual Factors in Neural Style Transfer

Artistic Style Transfer for Videos and Spherical Images

International journal of computer vision

Disentangling Propagation and Generation for Video Prediction

NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night

A Pragmatic AI Approach to Creating Artistic Visual Variations by Neural Style Transfer

Frame Difference-Based Temporal Loss for Video Stylization

Multiple Style-Transfer in Real-Time


An easy to use immersed boundary method in 2D, with full implementations in MATLAB and Python that contains over 75 built-in examples, including multiple options for fiber-structure models and advection-diffusion, Boussinesq approximations, and/or artificial forcing.

From single neurons to behavior in the jellyfish Aurelia aurita

IB2d Reloaded: A more powerful Python and MATLAB implementation of the immersed boundary method

Mathematical methods in the applied sciences

Naut Your Everyday Jellyfish Model: Exploring How Tentacles and Oral Arms Impact Locomotion

Flow field analyses of a porous membrane-separated, double-layered microfluidic chip for cell co-culture

A Swing of Beauty: Pendulums, Fluids, Forces, and Computers

Diving into a simple anguilliform swimmer's sensitivity

Fluid-Structure Interaction for the Classroom: Speed, Accuracy, Convergence, and Jellyfish!

Don't be jelly: Exploring effective jellyfish locomotion

Fluid-Structure Interaction for the Classroom: Interpolation, Hearts, and Swimming!


A tool for running small microbenchmarks on recent Intel and AMD x86 CPUs.

nanoBench: A Low-Overhead Tool for Running Microbenchmarks on x86 Systems

International Symposium on Performance Analysis of Systems and Software

BHive: A Benchmark Suite and Measurement Framework for Validating x86-64 Basic Block Performance Models

PROCEEDINGS OF THE 2019 IEEE INTERNATIONAL SYMPOSIUM ON WORKLOAD CHARACTERIZATION (IISWC 2019)


Learning Certifiably Optimal Rule Lists

Learning Certifiably Optimal Rule Lists for Categorical Data

Scalable Bayesian Rule Lists

Learning Fair Rule Lists

Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods


PyTorch Toolbox for Image Quality Assessment, including LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, NIMA, DBCNN, WaDIQaM, BRISQUE, PI and more...

Semi-supervised Cycle-GAN for face photo-sketch translation in the wild

Вестник Самарского государственного технического университета. Серия «Физико-математические науки»

Underwater Ranker: Learn Which Is Better and How to Be Better

Embedding Fourier for Ultra-High-Definition Low-Light Image Enhancement

PyTorch Image Quality: Metrics for Image Quality Assessment

Content-based Unrestricted Adversarial Attack

TOPIQ: A Top-down Approach from Semantics to Distortions for Image
  Quality Assessment

Reconstruct-and-Generate Diffusion Model for Detail-Preserving Image
  Denoising

Textural-Perceptual Joint Learning for No-Reference Super-Resolution
  Image Quality Assessment

When StyleGAN Meets Stable Diffusion: a ��_+ Adapter for
  Personalized Image Generation

HyperE2VID: Improving Event-Based Video Reconstruction via Hypernetworks


FinancialVision

Explainable Deep Convolutional Candlestick Learner

Data Augmentation for Deep Candlestick Learner

Adversarial Robustness of Deep Convolutional Candlestick Learner


Open source Emoticons and Emoji detection library: emot

Current limitations in cyberbullying detection: On evaluation criteria, reproducibility, and data scarcity

Leveraging Multilingual Transformers for Hate Speech Detection.

Assessing Canadians Health Activity and Nutritional Habits Through Social Media

One to rule them all: Towards Joint Indic Language Hate Speech Detection

Enhancing Big Social Media Data Quality for Use in Short-Text Topic Modeling

Efficient Twitter Data Cleansing Model for Data Analysis of the Pandemic Tweets

Studies in systems, decision and control

Demonstrating the Reliability of Self-Annotated Emotion Data

Workshop on Computational Linguistics and Clinical Psychology

Dialoging Resonance: How Users Perceive, Reciprocate and React to
  Chatbot's Self-Disclosure in Conversational Recommendations

CSECU-DSG at WNUT-2020 Task 2: Exploiting Ensemble of Transfer Learning and Hand-crafted Features for Identification of Informative COVID-19 English Tweets

Empirical Methods in Natural Language Processing


software tools for haplotype assembly from sequence data

Genomic signatures of recombination in a natural population of the bdelloid rotifer Adineta vaga

Ultra-low input single tube linked-read library method enables short-read NGS systems to generate highly accurate and economical long-range sequencing information for de novo genome assembly and haplotype phasing

Efficient long single molecule sequencing for cost effective and accurate sequencing, haplotyping, and de novo assembly

Long-molecule scars of backup DNA repair in BRCA1- and BRCA2-deficient cancers

HapCUT2: A Method for Phasing Genomes Using Experimental Sequence Data.

Methods in molecular biology (Clifton, N.J.)


RetinaFace: Deep Face Detection Library for Python

Fast R-CNN

Segment Anything

RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild

Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with
  Text

GANonymization: A GAN-based Face Anonymization Framework for Preserving Emotional Expressions


A curated list of awesome nanopore analysis tools.

DeepNano: Deep recurrent neural networks for base calling in MinION nanopore reads

Identification of differential RNA modifications from nanopore direct RNA sequencing with xPore

Quantitative profiling of N6-methyladenosine at single-base resolution in stem-differentiating xylem of Populus trichocarpa using Nanopore direct RNA sequencing

NanoMod: a computational tool to detect DNA modifications using Nanopore long-read sequencing data

Beyond sequencing: machine learning algorithms extract biology hidden in Nanopore signal data

GoekeLab/m6anet: Pre-release


[NeurIPS 2021] WRENCH: Weak supeRvision bENCHmark

WRENCH: A Comprehensive Benchmark for Weak Supervision

Learning Hyper Label Model for Programmatic Weak Supervision

Understanding Programmatic Weak Supervision via Source-aware Influence
  Function

Meta Self-Refinement for Robust Learning with Weak Supervision

Leveraging Instance Features for Label Aggregation in Programmatic Weak
  Supervision

Ground Truth Inference for Weakly Supervised Entity Matching

Binary Classification with Positive Labeling Sources

How Many Validation Labels Do You Need? Exploring the Design Space of
  Label-Efficient Model Ranking

Adaptive Ranking-based Sample Selection for Weakly Supervised Class-imbalanced Text Classification


Next generation sequencing reads de novo assembler.

The Nephila clavipes genome highlights the diversity of spider silk genes and their complex expression

An NGS-based approach for the identification of sex-specific markers in snakehead (Channa argus)

Prevalence and Genetic Diversity of Listeria monocytogenes Isolated From Retail Pork in Wuhan, China

Molecular Characteristics of Brucella Isolates Collected From Humans in Hainan Province, China

Population Genomic Approaches for Weed Science

Potential Use of Microbial Community Genomes in Various Dimensions of Agriculture Productivity and Its Management: A Review

GAAP: A Genome Assembly + Annotation Pipeline

Development of Sequence-Tagged Site Marker Set for Identification of J, JS, and St Sub-genomes of Thinopyrum intermedium in Wheat Background

Persicimonas caeni gen. nov., sp. nov., the Representative of a Novel Wide-Ranging Predatory Taxon in Bradymonadales

Heteroresistance Is Associated With in vitro Regrowth During Colistin Treatment in Carbapenem-Resistant Klebsiella pneumoniae


Java utilities for Bioinformatics

Tracking the origin of two genetic components associated with transposable element bursts in domesticated rice

JVarkit: java-based utilities for Bioinformatics

Search for Rare Copy-Number Variants in Congenital Heart Defects Identifies Novel Candidate Genes and a Potential Role for FOXC1 in Patients With Coarctation of the Aorta

BAMClipper: removing primers from alignments to minimize false-negative mutations in amplicon next-generation sequencing

Assessing DNA Sequence Alignment Methods for Characterizing Ancient Genomes and Methylomes

bioalcidae, samjs and vcffilterjs: object-oriented formatters and filters for bioinformatics files

Multiscale heterogeneity in gastric adenocarcinoma evolution is an obstacle to precision medicine

Pleiotropic effects of regulatory variation in tan result in correlation of two pigmentation traits in Drosophila melanogaster

Characterization of FMR1 Repeat Expansion and Intragenic Variants by Indirect Sequence Capture

ASCIIGenome: a command line genome browser for console terminals


ESC-50: Dataset for Environmental Sound Classification

Towards Learning Universal Audio Representations

Cough Recognition Based on Mel-Spectrogram and Convolutional Neural Network

Zygarde: Time-Sensitive On-Device Deep Inference and Adaptation on Intermittently-Powered Systems

Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies

Multimodality in Meta-Learning: A Comprehensive Survey

Audio Visual Language Maps for Robot Navigation

Tiny Transformers for Environmental Sound Classification at the Edge

Comparison of semi-supervised deep learning algorithms for audio classification

CLIPSep: Learning Text-queried Sound Separation with Noisy Unlabeled
  Videos

On the performance of residual block design alternatives in convolutional neural networks for end-to-end audio classification

Early detection of red palm weevil infestations using deep learning classification of acoustic signals


Implementation of EfficientNet model. Keras and TensorFlow Keras.

Deep Residual Learning for Image Recognition

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

Optimized deep encoder-decoder methods for crack segmentation

Deep Learning for Classification of Bone Lesions on Routine MRI

Practical galaxy morphology tools from deep supervised representation learning

Weakly Supervised Learning Guided by Activation Mapping Applied to a Novel Citrus Pest Benchmark

An ensemble-based approach for automated medical diagnosis of malaria using EfficientNet

MixMatch Domain Adaptaion: Prize-winning solution for both tracks of
  VisDA 2019 challenge

Near Real-time Map Building with Multi-class Image Set Labeling and Classification of Road Conditions Using Convolutional Neural Networks


Expectation-Maximization algorithm for Allele-Specific Expression

Epistatic Networks Jointly Influence Phenotypes Related to Metabolic Disease and Gene Expression in Diversity Outbred Mice

Hierarchical Analysis of Multi-mapping RNA-Seq Reads Improves the Accuracy of Allele-specific Expression


QuAcK: a software for emerging quantum electronic structure methods

Dynamical correction to the Bethe-Salpeter equation beyond the plasmon-pole approximation.

Weight dependence of local exchange–correlation functionals in ensemble density-functional theory: double excitations in two-electron systems

Spin-Conserved and Spin-Flip Optical Excitations from the Bethe–Salpeter Equation Formalism

Journal of chemical theory and computation

Potential Energy Surfaces without Unphysical Discontinuities: The Coulomb Hole Plus Screened Exchange Approach.

Unphysical discontinuities, intruder states and regularization in GW methods.

Static and dynamic Bethe-Salpeter equations in the T-matrix approximation.

Connections between many-body perturbation and coupled-cluster theories

A similarity renormalization group approach to Green's function methods

The GW Approximation: A Quantum Chemistry Perspective

The three channels of many-body perturbation theory: GW,
  particle-particle, and electron-hole T-matrix self-energies


A garden for scikit-learn compatible trees

Forecasting Intra-Hour Imbalances in Electric Power Systems

AMF: Aggregated Mondrian Forests for Online Learning

Stream Learning in Energy IoT Systems: A Case Study in Combined Cycle Power Plants

Deep neural networks for the quantile estimation of regional renewable energy production

Uncertainty quantification for data-driven turbulence modelling with Mondrian forests


NCBI Prokaryotic Genome Annotation Pipeline

Database resources of the National Center for Biotechnology Information.

VADR: validation and annotation of virus sequence submissions to GenBank

Genome-resolved metagenomics using environmental and clinical samples

Within-Host Microevolution of Pseudomonas aeruginosa Urinary Isolates: A Seven-Patient Longitudinal Genomic and Phenotypic Study

Comparative Genomic Analysis Determines the Functional Genes Related to Bile Salt Resistance in Lactobacillus salivarius

RefSeq and the prokaryotic genome annotation pipeline in the age of metagenomes.

Comparative Genomics of Xylella fastidiosa Explores Candidate Host-Specificity Determinants and Expands the Known Repertoire of Mobile Genetic Elements and Immunity Systems

Complete Genome Sequence, Genome Stability and Phylogeny of the Vaccine Strain Mycobacterium bovis BCG SL222 Sofia

Whole Genome Sequencing of Ceftolozane-Tazobactam and Ceftazidime-Avibactam Resistant Pseudomonas aeruginosa Isolated from a Blood Stream Infection Reveals VEB and Chromosomal Metallo-Beta Lactamases as Genetic Determinants: A Case Report

Transmission Dynamics of Shiga Toxin-Producing Escherichia coli in New Zealand Cattle from Farm to Slaughter


Website for conversationai.github.io

CrowdWorkSheets: Accounting for Individual and Collective Identities Underlying Crowdsourced Dataset Annotation

Conference on Fairness, Accountability and Transparency

Is Your Toxicity My Toxicity? Exploring the Impact of Rater Identity on Toxicity Annotation

A Benchmark Study of the Contemporary Toxicity Detectors on Software Engineering Interactions

Automated Identification of Toxic Code Reviews Using ToxiCR

Automated Identification of Sexual Orientation and Gender Identity
  Discriminatory Texts from Issue Comments


U-Net Biomedical Image Segmentation

Decentralized Federated Learning for Healthcare Networks: A Case Study on Tumor Segmentation

Systematic Evaluation of Image Tiling Adverse Effects on Deep Learning Semantic Segmentation

Implementation of a Modified U-Net for Medical Image Segmentation on Edge Devices

IEEE transactions on circuits and systems. II, Express briefs

Addressing the Memory Bottleneck in AI Model Training


Java API for Natural Language Generation. Originally developed by Ehud Reiter at the University of Aberdeen’s Department of Computing Science and co-founder of Arria NLG. This git repo is the official SimpleNLG version.

Designing Effective Interview Chatbots: Automatic Chatbot Profiling and Design Suggestion Generation for Chatbot Debugging

Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Lexical Simplification Benchmarks for English, Portuguese, and Spanish

Question Generation for Language Learning: From ensuring texts are read to supporting learning

Workshop on Innovative Use of NLP for Building Educational Applications

Data Curation APIs

An Approach to Inference-Driven Dialogue Management within a Social
  Chatbot

Algorithmic copywriting: automated generation of health-related advertisements to improve their performance

EAT: a simple and versatile semantic representation format for multi-purpose NLP

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)

The jsRealB Text Realizer: Organization and Use Cases -- Revised version


Tissue-specific variant effect predictions on splicing

MMSplice: modular modeling improves the predictions of genetic variant effects on splicing

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

Splicing impact of deep exonic missense variants in CAPN3 explored systematically by minigene functional assay

A Missense Mutation rs781536408 (c.2395G>A) of TYK2 Affects Splicing and Causes Skipping of Exon18 in vivo


Microsoft SEAL 4.X For Python

A survey on implementations of homomorphic encryption schemes

The Journal of supercomputing/Journal of supercomputing

CHE: Channel-Wise Homomorphic Encryption for Ciphertext Inference in Convolutional Neural Network

EDLaaS:Fully Homomorphic Encryption over Neural Network Graphs for Vision and Private Strawberry Yield Forecasting

Measuring Linkability of Protected Biometric Templates Using Maximal Leakage

IEEE transactions on information forensics and security

Secure Vertical Federated Learning Under Unreliable Connectivity


MacSyFinder - Detection of macromolecular systems in protein datasets using systems modelling and similarity search.

Identification of protein secretion systems in bacterial genomes

MacSyFinder: A Program to Mine Genomes for Molecular Systems with an Application to CRISPR-Cas Systems

The interplay of restriction-modification systems with mobile genetic elements and their prokaryotic hosts

Integrative and conjugative elements and their hosts: composition, distribution and organization

Comprehensive genome data analysis establishes a triple whammy of carbapenemases, ICEs and multiple clinically relevant bacteria

MacSyFinder v2: Improved modelling and search engine to identify molecular systems in genomes

Core Defense Hotspots withinPseudomonas aeruginosaare a consistent and rich source of anti-phage defense systems

ICEs Are the Main Reservoirs of the Ciprofloxacin-Modifying crpP Gene in Pseudomonas aeruginosa

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

Animals : an open access journal from MDPI


Maximum independent sets and vertex covers of large sparse graphs.

Finding Near-Optimal Independent Sets at Scale

DIMES: A Differentiable Meta Solver for Combinatorial Optimization
  Problems

DIFUSCO: Graph-based Diffusion Solvers for Combinatorial Optimization

What's Wrong with Deep Learning in Tree Search for Combinatorial
  Optimization

Boosting Data Reduction for the Maximum Weight Independent Set Problem Using Increasing Transformations


R interface to torchvision

Computing a human-like reaction time metric from stable recurrent vision
  models

NUPES : Non-Uniform Post-Training Quantization via Power Exponent Search


A library for Partially Homomorphic Encryption in Python

A Secure Federated Transfer Learning Framework

Private federated learning on vertically partitioned data via entity resolution and additively homomorphic encryption.

Secure Federated Matrix Factorization

Preserving privacy in speaker and speech characterisation

Encrypted Control for Networked Systems: An Illustrative Introduction and Current Challenges

Boosting Privately: Privacy-Preserving Federated Extreme Boosting for Mobile Crowdsensing

Homomorphic Encryption for Speaker Recognition: Protection of Biometric Templates and Vendor Model Parameters

The Speaker and Language Recognition Workshop (Odyssey 2018)

PIVODL: Privacy-Preserving Vertical Federated Learning Over Distributed Labels

An Efficient Learning Framework for Federated XGBoost Using Secret Sharing and Distributed Optimization

Enabling SQL-based Training Data Debugging for Federated Learning


phyloFlash - A pipeline to rapidly reconstruct the SSU rRNAs and explore phylogenetic composition of an illumina (meta)genomic dataset.

phyloFlash: Rapid Small-Subunit rRNA Profiling and Targeted Assembly from Metagenomes

Short-chain alkanes fuel mussel and sponge Cycloclasticus symbionts from deep-sea gas and oil seeps

phyloFlash – Rapid SSU rRNA profiling and targeted assembly from metagenomes

Two intracellular and cell type-specific bacterial symbionts in the placozoan Trichoplax H2

Sugars dominate the seagrass rhizosphere

Metaproteogenomic Profiling of Microbial Communities Colonizing Actively Venting Hydrothermal Chimneys

Distribution of Mixotrophy and Desiccation Survival Mechanisms across Microbial Genomes in an Arid Biological Soil Crust Community

Specificity in diversity: single origin of a widespread ciliate-bacteria symbiosis

Microbial Diversity of Co-occurring Heterotrophs in Cultures of Marine Picocyanobacteria

Phylogenetically and functionally diverse microorganisms reside under the Ross Ice Shelf


dandelion - A single cell BCR/TCR V(D)J-seq analysis package for 10X Chromium 5' data

Mapping the developing human immune system across organs

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

Dandelion uses the single-cell adaptive immune receptor repertoire to explore lymphocyte developmental origins

Dandelionutilizes single cell adaptive immune receptor repertoire to explore lymphocyte developmental origins


Python package for machine learning for healthcare using a OMOP common data model

Deep Contextual Clinical Prediction with Reverse Distillation

Attention-based neural networks for clinical prediction modelling on electronic health records


Application for inferring subclonal composition and evolution from whole-genome sequencing data.

PhyloWGS: Reconstructing subclonal composition and evolution from whole-genome sequencing of tumors

A community effort to create standards for evaluating tumor subclonal reconstruction

Quantifying the influence of mutation detection on tumour subclonal reconstruction

Reconstructing tumor evolutionary histories and clone trees in polynomial-time with SubMARine

Cellular and molecular architecture of hematopoietic stem cells and progenitors in genetic models of bone marrow failure

Clinical and molecular features of acquired resistance to immunotherapy in non-small cell lung cancer

A Bayesian Nonparametric Model for Inferring Subclonal Populations from Structured DNA Sequencing Data

Exact inference under the perfect phylogeny model


defacing utility for MRI images

BOLD5000, a public fMRI dataset while viewing 5000 visual images

Simultaneous EEG-fMRI during a neurofeedback task, a brain imaging dataset for multimodal data integration

Network Localisation of White Matter Damage in Cerebral Small Vessel Disease

3D Deformable Convolutions for MRI classification

A longitudinal neuroimaging dataset on language processing in children ages 5, 7, and 9 years old

A natural language fMRI dataset for voxelwise encoding models

De‐identification procedures for magnetic resonance images and the impact on structural brain measures at different ages

Monash DaCRA fPET-fMRI: A dataset for comparison of radiotracer administration for high temporal resolution functional FDG-PET

Simultaneous MRI-EEG during a motor imagery neurofeedback task: an open access brain imaging dataset for multi-modal data integration

rt-me-fMRI: A task and resting state dataset for real-time, multi-echo fMRI methods development and validation


Concolic Testing for Deep Neural Networks

Verification for Machine Learning, Autonomy, and Neural Networks Survey

Coverage-Guided Testing for Recurrent Neural Networks

Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for L0 Norm

Generalizing Universal Adversarial Attacks Beyond Additive Perturbations

Reliability Validation of Learning Enabled Vehicle Tracking

Embedding and extraction of knowledge in tree ensemble classifiers

Abstraction and Symbolic Execution of Deep Neural Networks with Bayesian Approximation of Hidden Features

Tutorials on Testing Neural Networks


Downscaling & bias correction of CMIP6 tasmin, tasmax,  and pr for the R/CIL GDPCIR project

The ERA5 global reanalysis

Quarterly journal of the Royal Meteorological Society

Bias Correction of GCM Precipitation by Quantile Mapping: How Well Do Methods Preserve Changes in Quantiles and Extremes?


Python-based framework for building and evaluating session-based and session-aware recommender systems.

A Survey on Session-based Recommender Systems

Evaluation of session-based recommendation algorithms

User modeling and user-adapted interaction

Empirical analysis of session-based recommendation algorithms

Session-aware recommendation: A surprising quest for the state-of-the-art

Session-aware Linear Item-Item Models for Session-based Recommendation

An efficient manifold density estimator for all recommendation systems

M2TRec: Metadata-aware Multi-task Transformer for Large-scale and Cold-start free Session-based Recommendations

Proceedings of the 16th ACM Conference on Recommender Systems

S-Walk: Accurate and Scalable Session-based Recommendation with Random Walks


DeepTables:  Deep-learning Toolkit for Tabular data

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

AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)

Entity Embeddings of Categorical Variables

FiBiNET: Combining Feature Importance and Bilinear feature Interaction for Click-Through Rate Prediction

RECSYS 2019: 13TH ACM CONFERENCE ON RECOMMENDER SYSTEMS

Product-Based Neural Networks for User Response Prediction over Multi-Field Categorical Data

DeepFM: An End-to-End Wide & Deep Learning Framework for CTR Prediction

FLEN: Leveraging Field for Scalable CTR Prediction


API to run VirtualHome, a Multi-Agent Household Simulator

VirtualHome: Simulating Household Activities via Programs

Pre-Trained Language Models for Interactive Decision-Making

ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via
  Tool Embeddings


A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

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

NYCU_TWD@LT-EDI-ACL2022: Ensemble Models with VADER and Contrastive Learning for Detecting Signs of Depression from Social Media

Proceedings of the Second Workshop on Language Technology for Equality, Diversity and Inclusion

Multi-Scale Speaker Embedding-Based Graph Attention Networks For Speaker Diarisation

CNN-based event classification of alpha-decay events in nuclear emulsion

Nuclear instruments and methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment/Nuclear instruments & methods in physics research. Section A, Accelerators, spectrometers, detectors and associated equipment

Dynamic adaptive threshold based learning for noisy annotations robust facial expression recognition

Generative Adversarial Networks for Morphological–Temporal Classification of Stem Cell Images

A Novel Incremental Cross-Modal Hashing Approach

Similar Image Retrieval using Autoencoder. I. Automatic Morphology Classification of Galaxies

Online Continual Learning via Multiple Deep Metric Learning and
  Uncertainty-guided Episodic Memory Replay -- 3rd Place Solution for ICCV 2021
  Workshop SSLAD Track 3A Continual Object Classification


Large-scale open domain KNOwledge grounded conVERsation system based on PaddlePaddle

PLATO-2: Towards Building an Open-Domain Chatbot via Curriculum Learning

PLATO-XL: Exploring the Large-scale Pre-training of Dialogue Generation

"How Robust r u?": Evaluating Task-Oriented Dialogue Systems on Spoken
  Conversations

Learning to Select External Knowledge With Multi-Scale Negative Sampling

Amendable Generation for Dialogue State Tracking

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

PLATO-KAG: Unsupervised Knowledge-Grounded Conversation via Joint Modeling

Proceedings of the 3rd Workshop on Natural Language Processing for Conversational AI

TOD-DA: Towards Boosting the Robustness of Task-oriented Dialogue
  Modeling on Spoken Conversations

Q-TOD: A Query-driven Task-oriented Dialogue System

Where to Go for the Holidays: Towards Mixed-Type Dialogs for Clarification of User Goals


Machine Learning for High Energy Physics.

Measurement of the Bs0→μ+μ− decay properties and search for the B0</mml:…

Test of lepton universality in b → s ℓ^+ ℓ^- decays

Amplitude analysis of B^0_s→ K^0_S K^±π^∓ decays

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

Reweighting with Boosted Decision Trees

Measurement of CP violation in B^0→ D^*± D^∓ decays

Updated measurement of time-dependent
    CP
-violating observables in
    B ^0_s→ J/ψ K^+ K^-
 decays

Robust Jet Classifiers through Distance Correlation

Observation of the semileptonic decay
    B^+→ ppμ^+ν_μ

Search for the doubly charmed baryon
    _cc^+
 in the
    _c^+π^-π^+
 final state

Search for the doubly heavy baryons and decaying to and *

Chinese Physics C, High Energy Physics and Nuclear Physics/Chinese physics C


EvoloPy toolbox provides classical and recent nature-inspired metaheuristic for the global optimization.

Swarm Intelligence Algorithms in Text Document Clustering with Various Benchmarks

Opytimizer: A Nature-Inspired Python Optimizer

A New Metaheuristic Approach to Solving Benchmark Problems: Hybrid Salp Swarm Jaya Algorithm

Computers, materials & continua/Computers, materials & continua (Print)


About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

PromptCast: A New Prompt-based Learning Paradigm for Time Series
  Forecasting

Ti-MAE: Self-Supervised Masked Time Series Autoencoders

A Survey on Time-Series Pre-Trained Models

Scaleformer: Iterative Multi-scale Refining Transformers for Time Series
  Forecasting

Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting

Frequency-domain MLPs are More Effective Learners in Time Series
  Forecasting

FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure
  Graph Perspective

PETformer: Long-term Time Series Forecasting via Placeholder-enhanced
  Transformer

Persistence Initialization: a novel adaptation of the Transformer architecture for time series forecasting


TextRank implementation for Python 3.

Variations of the Similarity Function of TextRank for Automated Summarization

Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization

Self-Supervised and Controlled Multi-Document Opinion Summarization

SemRe-Rank

Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization

Empirical Methods in Natural Language Processing

EmailSum: Abstractive Email Thread Summarization

Unsupervised Aspect-Based Multi-Document Abstractive Summarization

Proceedings of the 2nd Workshop on New Frontiers in Summarization

Automatic Generation of Headlines for Online Math Questions

Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization

Dataset for Automatic Summarization of Russian News

Communications in computer and information science


An Automatic Model Compression (AutoMC) framework for developing smaller and faster AI applications.

AutoML to Date and Beyond: Challenges and Opportunities

Few Shot Network Compression via Cross Distillation

Auto-Split: A General Framework of Collaborative Edge-Cloud AI

PocketFlow: An Automated Framework for Compressing and Accelerating Deep Neural Networks


Deprecated - Low Orbit Ion Cannon - An open source network stress tool, written in C#. Based on Praetox's LOIC project. USE ON YOUR OWN RISK. WITHOUT ANY EXPRESS OR IMPLIED WARRANTIES. IF YOU GET V& IT IS YOUR FAULT.

Detection and Classification of DDoS Flooding Attacks on Software-Defined Networks: A Case Study for the Application of Machine Learning

A security study of Bluetooth-powered robot toy

Journal of Surveillance, Security and Safety

Toward Improving the Security of IoT and CPS Devices: An AI Approach

Reinforced Transformer Learning for VSI-DDoS Detection in Edge Clouds


A climate4R package for data access


Alphabetical list of free/public domain datasets with text data for use in Natural Language Processing (NLP)

Deep learning in electron microscopy

Machine learning: science and technology

YouTube AV 50K: An Annotated Corpus for Comments in Autonomous Vehicles

Artificial Intelligence and Natural Language

Adversarial Machine Learning in Text Processing: A Literature Survey

Adversarial Machine Learning in Text Analysis and Generation


A collection of structured and unstructured ESMF regridding schemes for Iris.

Simulations of idealised 3D atmospheric flows on terrestrial planets using LFRic-Atmosphere

Evaluation of native Earth system model output with ESMValTool v2.6.0


Cropbox: a declarative crop modeling framework


Multilocus sequence typing by blast using the schemes from PubMLST

Probiotic Potential and Safety Evaluation of Enterococcus faecalis OB14 and OB15, Isolated From Traditional Tunisian Testouri Cheese and Rigouta, Using Physiological and Genomic Analysis

Whole genome sequencing of ESBL-producing Escherichia coli isolated from patients, farm waste and canals in Thailand

Whole genome sequencing reveals high-resolution epidemiological links between clinical and environmental Klebsiella pneumoniae

Quantifying acquisition and transmission of Enterococcus faecium using genomic surveillance

Longitudinal genomic surveillance of multidrug-resistant Escherichia coli carriage in a long-term care facility in the United Kingdom

“I Would Have Become Wallpaper Had Racism Had Its Way”: Black Female Professors, Racial Battle Fatigue, and Strategies for Surviving Higher Education

Limited contribution of non-intensive chicken farming to ESBL-producing Escherichia coli colonization in humans in Vietnam: an epidemiological and genomic analysis

The journal of antimicrobial chemotherapy/Journal of antimicrobial chemotherapy

Within-host microevolution of Streptococcus pneumoniae is rapid and adaptive during natural colonisation

The Emergence of Successful Streptococcus pyogenes Lineages through Convergent Pathways of Capsule Loss and Recombination Directing High Toxin Expression

Genomic surveillance reveals low prevalence of livestock-associated methicillin-resistant Staphylococcus aureus in the East of England


GPU Framework for Radio Astronomical Image Synthesis

Dust Unveils the Formation of a Mini-Neptune Planet in a Protoplanetary Ring

Long Baseline Observations of the HD 100546 Protoplanetary Disk with ALMA

Multi-GPU maximum entropy image synthesis for radio astronomy

Visualizing the Kinematics of Planet Formation

Radio-continuum decrements associated to shadowing from the central warp
  in transition disc DoAr44


Mapping glaciers in the Hindu Kush Himalaya, in partnership with ICIMOD.

Machine Learning for Glacier Monitoring in the Hindu Kush Himalaya.


ytopt: machine-learning-based search methods for autotuning

Autotuning PolyBench Benchmarks with LLVM Clang/Polly Loop Optimization Pragmas Using Bayesian Optimization

ytopt: Autotuning Scientific Applications for Energy Efficiency at Large
  Scales

Performance Optimization using Multimodal Modeling and Heterogeneous GNN

Autotuning Apache TVM-based Scientific Applications Using Bayesian Optimization


Generate text images for training deep learning ocr model

Benchmarking Chinese Text Recognition: Datasets, Baselines, and an
  Empirical Study

OmniPrint: A Configurable Printed Character Synthesizer

Transferring General Multimodal Pretrained Models to Text Recognition

Scalable handwritten text recognition system for lexicographic sources
  of under-resourced languages and alphabets


Modular image processing pipelines with Python. Built for Astronomy.

Two temperate super-Earths transiting a nearby late-type M dwarf

prose: A Python framework for modular astronomical images processing

Monthly Notices of the Royal Astronomical Society

HST/WFC3 transmission spectroscopy of the cold rocky planet TRAPPIST-1h

TESS discovery of a sub-Neptune orbiting a mid-M dwarf TOI-2136

Monthly notices of the Royal Astronomical Society

TOI-3235 b: A Transiting Giant Planet around an M4 Dwarf Star

A super-Earth and a mini-Neptune near the 2:1 MMR straddling the radius valley around the nearby mid-M dwarf TOI-2096

SPECULOOS Northern Observatory: searching for red worlds in the northern
  skies

Validation of 13 Hot and Potentially Terrestrial TESS Planets

A Massive Hot Jupiter Orbiting a Metal-rich Early M Star Discovered in the TESS Full-frame Images

TOI-1442 b and TOI-2445 b: Two potentially rocky ultra-short period planets around M dwarfs


生物信息学软件，资源和工具库的精选列表

RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome

Origins and geographic diversification of African rice (Oryza glaberrima)

A survey of best practices for RNA-seq data analysis

CNVkit: Genome-Wide Copy Number Detection and Visualization from Targeted DNA Sequencing

LUMPY: A probabilistic framework for structural variant discovery

A universal SNP and small-indel variant caller using deep neural networks

A brief history of bioinformatics

Parasail: SIMD C library for global, semi-global, and local pairwise sequence alignments

DNAism: exploring genomic datasets on the web with Horizon Charts

A 10-step guide to party conversation for bioinformaticians


PyTorch deep learning models for document classification

Regularizing and Optimizing LSTM Language Models

DocBERT: BERT for Document Classification

Rethinking Complex Neural Network Architectures for Document Classification

North American Chapter of the Association for Computational Linguistics

Document Classification for COVID-19 Literature

Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT

Workshop on Representation Learning for NLP

Stance Prediction for Contemporary Issues: Data and Experiments

SUMSUM@FNS-2020 Shared Task

Efficient Document Image Classification Using Region-Based Graph Neural Network

Event-Driven Learning of Systematic Behaviours in Stock Markets

From Sentiment Annotations to Sentiment Prediction through Discourse Augmentation


C++ Library for Portable SIMD Vectorization

Current and Future Performance of the CMS Simulation

Integration and Performance of New Technologies in the CMS Simulation

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

Extending ROOT through Modules


Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org

Do Transformers Really Perform Bad for Graph Representation?

DeeperGCN: All You Need to Train Deeper GCNs

Training Graph Neural Networks with 1000 Layers

Vision GNN: An Image is Worth Graph of Nodes

DeepGCNs: Making GCNs Go as Deep as CNNs

IEEE transactions on pattern analysis and machine intelligence

Node Feature Extraction by Self-Supervised Multi-scale Neighborhood
  Prediction


Isaac Gym Reinforcement Learning Environments

Isaac Gym: High Performance GPU-Based Physics Simulation For Robot Learning

AMP

DeXtreme: Transfer of Agile In-hand Manipulation from Simulation to Reality

DoReMi: Grounding Language Model by Detecting and Recovering from
  Plan-Execution Misalignment

Causal Reinforcement Learning: A Survey

From Data-Fitting to Discovery: Interpreting the Neural Dynamics of
  Motor Control through Reinforcement Learning

LARG, Language-based Automatic Reward and Goal Generation