Using the Output Embedding to Improve Language Models

Pointing the Unknown Words

Edinburgh Neural Machine Translation Systems for WMT 16

Diverse Beam Search: Decoding Diverse Solutions from Neural Sequence Models

Nematus: a Toolkit for Neural Machine Translation

Linguistic Input Features Improve Neural Machine Translation

Noisy Activation Functions

Improving Neural Machine Translation with Conditional Sequence Generative Adversarial Nets

Improved Neural Machine Translation with a Syntax-Aware Encoder and Decoder

How Grammatical is Character-level Neural Machine Translation? Assessing MT Quality with Contrastive Translation Pairs


A Toolbox for Post-Processing Quantum Chemical Wavefunction Data

An open‐source framework for analyzing N‐electron dynamics. I. Multideterminantal wave functions

An Open-Source Framework for N-Electron Dynamics: II. Hybrid Density
  Functional Theory/Configuration Interaction Methodology

Probing the effect of molecular structure saddling on ultrafast charge migration via time-resolved x-ray diffraction


museval - source separation evaluation tools for python

Demucs: Deep Extractor for Music Sources with extra unlabeled data remixed

Music Source Separation with Band-split RNN

Investigating U-Nets with various Intermediate Blocks for Spectrogram-based Singing Voice Separation.

Denoising Auto-encoder with Recurrent Skip Connections and Residual Regression for Music Source Separation

Class-conditional embeddings for music source separation

All for One and One for All: Improving Music Separation by Bridging Networks

Dilated Convolution with Dilated GRU for Music Source Separation

LaSAFT: Latent Source Attentive Frequency Transformation for Conditioned
  Source Separation

Diffiner: A Versatile Diffusion-based Generative Refiner for Speech Enhancement

Universal Source Separation with Weakly Labelled Data


Automagic

ZuCo, a simultaneous EEG and eye-tracking resource for natural sentence reading

CogniVal: A Framework for Cognitive Word Embedding Evaluation

Decoding EEG Brain Activity for Multi-Modal Natural Language Processing

Neural dynamics of sentiment processing during naturalistic sentence reading

The dynamic modular fingerprints of the human brain at rest

HD-EEG for tracking sub-second brain dynamics during cognitive tasks

Evidence and Urgency Related EEG Signals during Dynamic Decision-Making in Humans

The journal of neuroscience/The Journal of neuroscience

A test-retest resting, and cognitive state EEG dataset during multiple subject-driven states


Solve automatic numerical differentiation problems in one or more variables.

A statistical framework for generating microstructures of two-phase random materials: application to fatigue analysis

A robust and efficient algorithm to find profile likelihood confidence intervals

Comparative Analysis of Behavioral Models for Adaptive Learning in Changing Environments

A fast and simple modification of Newton's method helping to avoid saddle points

Backtracking New Q-Newton's method: a good algorithm for optimization
  and solving systems of equations

New Q-Newton's method meets Backtracking line search: good convergence guarantee, saddle points avoidance, quadratic rate of convergence, and easy implementation

Forecasts for cosmological measurements based on the angular power spectra of AGN and clusters of galaxies in the SRG/eROSITA all-sky survey


Systematic conservation prioritization in R

Habitat monitoring and conservation prioritization of Western Hoolock Gibbon in upper Brahmaputra Valley, Assam, India

Economics and optics influence funding for ecological restoration in a nation-wide program


fast and accurate alignment of BS-Seq reads using bwa-mem and a 3-letter genome

Fast and accurate alignment of long bisulfite-seq reads

rahu is a mutant allele of Dnmt3c, encoding a DNA methyltransferase homolog required for meiosis and transposon repression in the mouse male germline

SMYD2 promoter DNA methylation is associated with abdominal aortic aneurysm (AAA) and SMYD2 expression in vascular smooth muscle cells

Applications of genetic-epigenetic tissue mapping for plasma DNA in prenatal testing, transplantation and oncology

Fast and memory-efficient mapping of short bisulfite sequencing reads using a two-letter alphabet

Widespread Aberrant Alternative Splicing despite Molecular Remission in Chronic Myeloid Leukaemia Patients

The cytosine methylation landscape of spring barley revealed by a new reduced representation bisulfite sequencing pipeline, WellMeth

Method of targeted bisulfite massive parallel sequencing of the human LINE-1 retrotransposon promoter

Highly cooperative chimeric super-SOX induces naive pluripotency across species.


bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent

Behaviour Suite for Reinforcement Learning

Reinforcement Learning, Bit by Bit

Making Sense of Reinforcement Learning and Probabilistic Inference

Conditionally Elicitable Dynamic Risk Measures for Deep Reinforcement Learning

Temporal Difference Uncertainties as a Signal for Exploration

Adaptive Pairwise Weights for Temporal Credit Assignment

MDP Playground: A Design and Debug Testbed for Reinforcement Learning

E-MCTS: Deep Exploration in Model-Based Reinforcement Learning by
  Planning with Epistemic Uncertainty


Optimal Retrieval of Aerosol and Cloud

Remote Sensing of Droplet Number Concentration in Warm Clouds: A Review of the Current State of Knowledge and Perspectives

Reviews of geophysics (Washington, D.C. : 1985)

Cloud_cci Advanced Very High Resolution Radiometer post meridiem (AVHRR-PM) dataset version 3: 35-year climatology of global cloud and radiation properties

The Community Cloud retrieval for CLimate (CC4CL) – Part 2: The optimal estimation approach

Cloud_cci ATSR-2 and AATSR dataset version 3: a 17-yearclimatology of global cloud and radiation properties

Authors' response to Referee #1


Climate downscaling using CMIP6 data

Climate risks to carbon sequestration in US forests

Downscaling and bias-correction contribute considerable uncertainty to local climate projections in CMIP6


Novel Coronavirus 2019 time series data on cases

Excess deaths associated with covid-19 pandemic in 2020: age and sex disaggregated time series analysis in 29 high income countries

Neural Network Based Country Wise Risk Prediction of COVID-19

Preprinting the COVID-19 pandemic

Community movement and COVID-19: a global study using Google's Community Mobility Reports

Deep learning models for forecasting and analyzing the implications of COVID-19 spread on some commodities markets volatilities

Assessing the influence of climate on wintertime SARS-CoV-2 outbreaks

A SEIR model with time-varying coefficients for analysing the SARS-CoV-2
  epidemic

GLOBAL FORECASTING OF COVID-19 USING ARIMA BASED FB-PROPHET

International journal of engineering applied science and technology

COVID-19 cases prediction in multiple areas via shapelet learning

Applied intelligence (Dordrecht, Netherlands)

COVID-19 wavelet coherence data for some Gulf countries

Zenodo (CERN European Organization for Nuclear Research)


Individual tree point clouds and tree measurements from multi-platform laser scanning in German forests

Virtual laser scanning with HELIOS++: A novel take on ray tracing-based
  simulation of topographic 3D laser scanning


DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

Axial-DeepLab: Stand-Alone Axial-Attention for Panoptic Segmentation

Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation

MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers

kMaX-DeepLab: k-means Mask Transformer

STEP: Segmenting and Tracking Every Pixel

DeepLab2: A TensorFlow Library for Deep Labeling

Waymo Open Dataset: Panoramic Video Panoptic Segmentation

MOAT: Alternating Mobile Convolution and Attention Brings Strong Vision
  Models

ReMaX: Relaxing for Better Training on Efficient Panoptic Segmentation

PolyMaX: General Dense Prediction with Mask Transformer


Keras model of NSFW detector

RedCaps: web-curated image-text data created by the people, for the people

OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text
  Documents

Scalable 3D Captioning with Pretrained Models

PASS: An ImageNet replacement for self-supervised pretraining without humans

Seeing without Looking: Analysis Pipeline for Child Sexual Abuse Datasets

MPCHAT: Towards Multimodal Persona-Grounded Conversation


A package for Counterfactual Explanations and Algorithmic Recourse in Julia.

Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems

Inverse Classification for Comparison-based Interpretability in Machine Learning

Getting a CLUE: A Method for Explaining Uncertainty Estimates

Probabilistically Robust Recourse: Navigating the Trade-offs between
  Costs and Robustness in Algorithmic Recourse


R package for "sum of single effects" regression.

A simple new approach to variable selection in regression, with application to genetic fine-mapping

Large Bi-Ethnic Study of Plasma Proteome Leads to Comprehensive Mapping of cis-pQTL and Models for Proteome-wide Association Studies

3D genome organization links non-coding disease-associated variants to genes

Frontiers in cell and developmental biology

Deletion mapping of regulatory elements for GATA3 reveals a distal T helper 2 cell enhancer involved in allergic diseases

Genetic control of body weight by the human brain proteome


The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

U2-Net: Going deeper with nested U-structure for salient object detection

Object Segmentation Without Labels with Large-Scale Generative Models

Domain adaptation based self-correction model for COVID-19 infection segmentation in CT images

A convolutional neural network with pixel-wise sparse graph reasoning for COVID-19 lesion segmentation in CT images

Building Outline Extraction Directly Using the U2-Net Semantic Segmentation Model from High-Resolution Aerial Images and a Comparison Study

PSGR: Pixel-wise Sparse Graph Reasoning for COVID-19 Pneumonia Segmentation in CT Images.

JustDeepIt: Software tool with graphical and character user interfaces for deep learning-based object detection and segmentation in image analysis


Deprecated. For the latest MIMIC-IV code, please refer to: https://github.com/MIT-LCP/mimic-code

Application of interpretable machine learning for early prediction of prognosis in acute kidney injury

Computational and structural biotechnology journal

Predicting ICU Mortality in Rheumatic Heart Disease: Comparison of XGBoost and Logistic Regression

Clinical characteristics and risk factors associated with ICU-acquired infections in sepsis: A retrospective cohort study

Frontiers in cellular and infection microbiology

Association Between Platelet Levels and 28-Day Mortality in Patients With Sepsis: A Retrospective Analysis of a Large Clinical Database MIMIC-IV

An empirical study of using radiology reports and images to improve ICU
  mortality prediction

A nomogram to predict the in‐hospital mortality of patients with congestive heart failure and chronic kidney disease

The Correlation Between the Types of Initial Bacterial Infection and Clinical Prognosis in Patients With Septic AKI

Predictive value of the geriatric nutrition risk index for postoperative delirium in elderly patients undergoing cardiac surgery

Association of Prior to Intensive Care Unit Statin Use With Outcomes on Patients With Acute Kidney Injury

Conservative oxygen therapy in critically ill and perioperative period of patients with sepsis-associated encephalopathy


Microsoft Collective Communication Library

Synthesizing optimal collective algorithms

ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

Breaking the Computation and Communication Abstraction Barrier in Distributed Machine Learning Workloads

TACCL: Guiding Collective Algorithm Synthesis using Communication Sketches

Efficient Direct-Connect Topologies for Collective Communications

GC3: An Optimizing Compiler for GPU Collective Communication


A system that seamlessly integrates Big Data processing and machine learning model serving in distributed relational database

Serving Deep Learning Models with Deduplication from Relational
  Databases

A Comparison of Decision Forest Inference Platforms from A Database
  Perspective


Clair3 - Symphonizing pileup and full-alignment for high-performance long-read variant calling

Symphonizing pileup and full-alignment for deep learning-based long-read variant calling

Rescuing low frequency variants within intra-host viral populations directly from Oxford Nanopore sequencing data

bioRxiv : the preprint server for biology

Evaluation of the Available Variant Calling Tools for Oxford Nanopore Sequencing in Breast Cancer

Flexible and cost-effective genomic surveillance ofP. falciparummalaria with targeted nanopore sequencing

Bayesian model and selection signature analyses reveal risk factors for canine atopic dermatitis


Simulation framework to model and control the tasks of vehicle fleets (routing, user-assignment, charging, ...)

Integrating Parcel Deliveries into a Ride-Pooling Service -- An
  Agent-Based Simulation Study

FleetPy: A Modular Open-Source Simulation Tool for Mobility On-Demand
  Services

Simulating Ride-Pooling Services with Pre-Booking and On-Demand
  Customers


Local-Global Parcellation of the Human Cerebral Cortex From Intrinsic Functional Connectivity MRI

Global signal regression strengthens association between resting-state functional connectivity and behavior

The default network of the human brain is associated with perceived social isolation

Individual-Specific Areal-Level Parcellations Improve Functional Connectivity Prediction of Behavior

Predicting Alzheimer's disease progression using deep recurrent neural networks

Time of day is associated with paradoxical reductions in global signal fluctuation and functional connectivity

Accurate nonlinear mapping between MNI volumetric and FreeSurfer surface coordinate systems

Differences in subcortico-cortical interactions identified from connectome and microcircuit models in autism

Transcriptional and imaging-genetic association of cortical interneurons, brain function, and schizophrenia risk

When makes you unique: Temporality of the human brain fingerprint


MQT DDSIM - A quantum circuit simulator based on decision diagrams written in C++

Advanced Simulation of Quantum Computations

Hybrid Schrödinger-Feynman Simulation of Quantum Circuits With
  Decision Diagrams

Secure quantum computing for healthcare sector: A short analysis

Tools for Quantum Computing Based on Decision Diagrams

Simulation Paths for Quantum Circuit Simulation With Decision Diagrams What to Learn From Tensor Networks, and What Not

IEEE transactions on computer-aided design of integrated circuits and systems

Decision Diagrams for Quantum Computing

Efficient Implementation of LIMDDs for Quantum Circuit Simulation


InMAP reduced-form air quality model for fine particulate matter (PM2.5)

Fine-scale damage estimates of particulate matter air pollution reveal opportunities for location-specific mitigation of emissions

A database for evaluating the InMAP, APEEP, and EASIUR reduced complexity air-quality modeling tools


MS2PIP: MS2 Peak Intensity Prediction

DIA-Umpire: comprehensive computational framework for data-independent acquisition proteomics

A repository of assays to quantify 10,000 human proteins by SWATH-MS

Deciphering HLA-I motifs across HLA peptidomes improves neo-antigen predictions and identifies allostery regulating HLA specificity

Assembling the Community-Scale Discoverable Human Proteome

Thermal proteome profiling in bacteria: probing protein state in vivo

MS2PIP: a tool for MS/MS peak intensity prediction

Temporal quantitative phosphoproteomics of ADP stimulation reveals novel central nodes in platelet activation and inhibition.

Updated MS2PIP web server delivers fast and accurate MS2 peak intensity prediction for multiple fragmentation methods, instruments and labeling techniques

MS2PIP prediction server: compute and visualize MS2 peak intensity predictions for CID and HCD fragmentation

Removing the hidden data dependency of DIA with predicted spectral libraries


Joint HPS and ETH Repository to work towards open sourcing Scarab and Ramulator

PiDRAM: A Holistic End-to-end FPGA-based Framework for Processing-in-DRAM

The Championship Simulator: Architectural Simulation for Education and
  Competition


EvoJAX: Hardware-accelerated Neuroevolution.

Adaptive Computation Time for Recurrent Neural Networks

Simple random search provides a competitive approach to reinforcement learning

EvoJAX: Hardware-Accelerated Neuroevolution

Proceedings of the Genetic and Evolutionary Computation Conference Companion

Accelerated Quality-Diversity through Massive Parallelism

cmaes : A Simple yet Practical Python Library for CMA-ES


A toolkit for end-to-end neural ad hoc retrieval

OpenMatch: An Open Source Library for Neu-IR Research

The Power of Selecting Key Blocks with Local Pre-ranking for Long Document Information Retrieval


Automatically exported from code.google.com/p/byte-unixbench

Occlum: Secure and Efficient Multitasking Inside a Single Enclave of Intel SGX

TWENTY-FIFTH INTERNATIONAL CONFERENCE ON ARCHITECTURAL SUPPORT FOR PROGRAMMING LANGUAGES AND OPERATING SYSTEMS (ASPLOS XXV)

DeFog: Fog Computing Benchmarks

RAPPER: Ransomware Prevention via Performance Counters

Benchmarking Crimes: An Emerging Threat in Systems Security

Hardening Hypervisors against Vulnerabilities in Instruction Emulators

PROCEEDINGS OF THE 11TH EUROPEAN WORKSHOP ON SYSTEMS SECURITY (EUROSEC 2018)


Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

Auto-Encoding Variational Bayes

beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework

International Conference on Learning Representations

Variational Inference with Normalizing Flows

Neural Discrete Representation Learning

Adversarial Autoencoders

Autoencoding beyond pixels using a learned similarity metric

Improving Variational Inference with Inverse Autoregressive Flow

Disentangling by Factorising

Importance Weighted Autoencoders

Isolating Sources of Disentanglement in Variational Autoencoders


A data package for reporting on Northeast Continental Shelf ecosystem status and trends.

Improving the IEA Approach Using Principles of Open Data Science


Analysis of deep sequencing data for rapid and intuitive interpretation of genome editing experiments

Engineered virus-like particles for efficient in vivo delivery of therapeutic proteins

PrimeDesign software for rapid and simplified design of prime editing guide RNAs

A Cas9 with PAM recognition for adenine dinucleotides

Designing and executing prime editing experiments in mammalian cells

Ex vivo prime editing of patient haematopoietic stem cells rescues sickle-cell disease phenotypes after engraftment in mice

Development of a Self-Restricting CRISPR-Cas9 System to Reduce Off-Target Effects

Molecular therapy. Methods & clinical development

A humanized knockin mouse model of Duchenne muscular dystrophy and its correction by CRISPR-Cas9 therapeutic gene editing

Correction of a urea cycle defect after ex vivo gene editing of human hepatocytes

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

PAM-Flexible Genome Editing with an Engineered Chimeric Cas9

Rora Regulates Neutrophil Migration and Activation in Zebrafish


Trustworthy AI related projects

CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models

Masked Gradient-Based Causal Structure Learning

A Graph Autoencoder Approach to Causal Structure Learning

Ordering-Based Causal Discovery with Reinforcement Learning

gCastle: A Python Toolbox for Causal Discovery

Reinforcement Learning on Graphs: A Survey

FedDAG: Federated DAG Structure Learning

Causal Adversarial Network for Learning Conditional and Interventional Distributions

On Low Rank Directed Acyclic Graphs and Causal Structure Learning


OMNeT++ V2X simulation framework for ETSI ITS-G5

On the Design of Sidelink for Cellular V2X: A Literature Review and Outlook for Future

Performance Analysis of Sidelink 5G-V2X Mode 2 Through an Open-Source Simulator

Networked Roadside Perception Units for Autonomous Driving

Regain Control of Growing Dependencies in OMNeT++ Simulations.

Observations on OMNeT++ Real-Time Behaviour


Toolbox for testing if a probability distribution fits a power law

powerlaw: A Python Package for Analysis of Heavy-Tailed Distributions

Implicit Self-Regularization in Deep Neural Networks: Evidence from Random Matrix Theory and Implications for Learning

Traditional and Heavy-Tailed Self Regularization in Neural Network Models

Hunting for Radio Emission from the Intermittent Pulsar J1107-5907 at Low Frequencies

Automated assembly of molecular mechanisms at scale from text mining and curated databases

Dense gas in a giant molecular filament

Altered Weibull Degree Distribution in Resting-State Functional Brain Networks Is Associated With Cognitive Decline in Mild Cognitive Impairment

Temporal Networks Based on Human Mobility Models: A Comparative Analysis With Real-World Networks

Size Distributions Reveal Regime Transition of Lake Systems Under Different Dominant Driving Forces

Heavy-tailed distributions of confirmed COVID-19 cases and deaths in
  spatiotemporal space


mor1kx - an OpenRISC 1000 processor IP core

HyPFuzz: Formal-Assisted Processor Fuzzing

Combining processing throughput, low latency and timing accuracy in
  experiment control

LLM4SecHW: Leveraging Domain-Specific Large Language Model for Hardware Debugging

Asian Hardware-Oriented Security and Trust Symposium


A statistical-parametric model for assessing wind hazard from tropical cyclones


Full public release of large scale and linear scaling DFT code CONQUEST

Roadmap on electronic structure codes in the exascale era

Polar morphologies from first principles: PbTiO_3 films on SrTiO_3 substrates and the p(2 ×Λ) surface reconstruction

The pseudoatomic orbital basis: electronic accuracy and soft-mode distortions in ABO_3 perovskites.

Origin of Ferroelectric Domain Wall Alignment with Surface Trenches in Ultrathin Films.


Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

FaceNet: A Unified Embedding for Face Recognition and Clustering

Learning Face Representation from Scratch

Image Generators with Conditionally-Independent Pixel Synthesis

Deepfake Video Detection Using Convolutional Vision Transformer

Improving Transferability of Adversarial Patches on Face Recognition with Generative Models

Using latent space regression to analyze and leverage compositionality in GANs

Adversarial Sticker: A Stealthy Attack Method in the Physical World

Robust Multimodal Emotion Recognition from Conversation with Transformer-Based Crossmodality Fusion

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

Practical No-box Adversarial Attacks against DNNs


:triangular_ruler: Javascript Geometric Algebra Generator for Javascript, c++, c#, rust, python. (with operator overloading and algebraic literals) -

Course notes Geometric Algebra for Computer Graphics, SIGGRAPH 2019

Exploring Novel Surface Representations via an Experimental Ray-Tracer in CGA

Projective geometric algebra: A new framework for doing euclidean geometry


Electronic structure Python package for post analysis and large scale tight-binding DFT/NEGF calculations

Single spin localization and manipulation in graphene open-shell nanostructures

Carbon-based nanostructures as a versatile platform for tunable π-magnetism

Journal of physics. Condensed matter : an Institute of Physics journal

Quantum Interference Engineering of Nanoporous Graphene for Carbon Nanocircuitry

Journal of the American Chemical Society

Charge transport in doped zigzag phosphorene nanoribbons

Phosphorene as a nanoelectromechanical material

Simple and efficient LCAO basis sets for the diffuse states in carbon nanostructures

Electrochemical Control of Charge Current Flow in Nanoporous Graphene


Climate indices for drought monitoring

A quantitative evaluation of the issue of drought definition: a source of disagreement in future drought assessments

Projected changes in synoptic circulations over Europe and their
  implications for summer precipitation: A CMIP6 perspective

Effects of dry spells on soil moisture and yield anomalies at a montane managed grassland site: A lysimeter climate experiment

Drought dynamics in the East European Plain for the period 1980-2018


A PyTorch Implementation of Single Shot MultiBox Detector

Very Deep Convolutional Networks for Large-Scale Image Recognition

SSD: Single Shot MultiBox Detector

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

Receptive Field Block Net for Accurate and Fast Object Detection

Learning Loss for Active Learning

Small Object Detection using Context and Attention

Interpolation-based semi-supervised learning for object detection

URBAN-i: From urban scenes to mapping slums, transport modes, and pedestrians in cities using deep learning and computer vision

Environment and planning. B, Urban analytics and city science/Environment & planning. B, Urban analytics and city science

Post-training Quantization with Multiple Points: Mixed Precision without Mixed Precision

Entropy-based Active Learning for Object Detection with Progressive Diversity Constraint


Code for the paper "Language Models are Unsupervised Multitask Learners"

Multitask Prompted Training Enables Zero-Shot Task Generalization

RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models

Leveraging Pre-trained Checkpoints for Sequence Generation Tasks

True Few-Shot Learning with Language Models

A Knowledge-Enhanced Pretraining Model for Commonsense Story Generation

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

Towards Making the Most of BERT in Neural Machine Translation

Few-Shot NLG with Pre-Trained Language Model

Artificial Intelligence versus Maya Angelou: Experimental evidence that people cannot differentiate AI-generated from human-written poetry


phyloseq is a set of classes, wrappers, and tools (in R) to make it easier to import, store, and analyze phylogenetic sequencing data; and to reproducibly share that data and analysis with others. See the phyloseq front page:

phyloseq: An R Package for Reproducible Interactive Analysis and Graphics of Microbiome Census Data

Waste Not, Want Not: Why Rarefying Microbiome Data Is Inadmissible

Dynamics of the human gut microbiome in inflammatory bowel disease

Gastrointestinal microbial community changes in Atlantic cod (Gadus morhua) exposed to crude oil

Microbial co-occurrence complicates associations of gut microbiome with US immigration, dietary intake and obesity

The Microbiota and Abundance of the Class 1 Integron-Integrase Gene in Tropical Sewage Treatment Plant Influent and Activated Sludge

Lifelong dietary omega-3 fatty acid suppresses thrombotic potential through gut microbiota alteration in aged mice

Rhizobacteria Communities of Phytoremediation Plant Species in Petroleum Hydrocarbon Contaminated Soil of the Sudd Ecosystem, South Sudan

Children and adolescents with attention deficit hyperactivity disorder and autism spectrum disorder share distinct microbiota compositions

Mobility of β-Lactam Resistance Under Bacterial Co-infection and Ampicillin Treatment in a Mouse Model


NEW - YOLOv8  in PyTorch > ONNX > OpenVINO > CoreML > TFLite

DETRs Beat YOLOs on Real-time Object Detection

Foundational Models Defining a New Era in Vision: A Survey and Outlook

Fracture Detection in Pediatric Wrist Trauma X-ray Images Using YOLOv8
  Algorithm

KPE-YOLOv5: An Improved Small Target Detection Algorithm Based on YOLOv5

Radar-Camera Fusion for Object Detection and Semantic Segmentation in Autonomous Driving: A Comprehensive Review

Parking Time Violation Tracking Using YOLOv8 and Tracking Algorithms

POSEIDON: A Data Augmentation Tool for Small Object Detection Datasets in Maritime Environments

Fruit Sizing in Orchard: A Review from Caliper to Machine Vision with Deep Learning

Object Detection in Traffic Videos: A Survey

IEEE transactions on intelligent transportation systems

Investigation of Combining Deep Learning Object Recognition with Drones for Forest Fire Detection and Monitoring

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


Powerful analytics and cohort library using Redis bitmaps

In-DRAM Bulk Bitwise Execution Engine.

Buddy-RAM: Improving the Performance and Efficiency of Bulk Bitwise Operations Using DRAM

Simple DRAM and Virtual Memory Abstractions to Enable Highly Efficient
  Memory Systems


You can find the website of NuPyCEE at

Neutron Star Mergers Might Not Be the Only Source of r-process Elements in the Milky Way

The Impact of Modeling Assumptions in Galactic Chemical Evolution Models

Advanced LIGO Constraints on Neutron Star Mergers and R-Process Sites

UNCERTAINTIES IN GALACTIC CHEMICAL EVOLUTION MODELS

Galactic Chemical Evolution of Radioactive Isotopes

Validating Semi-analytic Models of High-redshift Galaxy Formation Using Radiation Hydrodynamical Simulations

Mass and metallicity requirement in stellar models for galactic chemical evolution applications

Monthly Notices of the Royal Astronomical Society

SYGMA: Stellar Yields for Galactic Modeling Applications

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

Observing multiple populations in globular clusters with the ESO archive: NGC 6388 reloaded

Cyberhubs: Virtual Research Environments for Astronomy


turboSETI  -- python based SETI search algorithm.

The Breakthrough Listen Search for Intelligent Life: 1.1-1.9 GHz
  observations of 692 Nearby Stars

Analysis of the Breakthrough Listen signal of interest blc1 with a technosignature verification framework

A deep-learning search for technosignatures from 820 nearby stars

NASA and the Search for Technosignatures: A Report from the NASA Technosignatures Workshop.: NASA Technosignatures Workshop Participants

The Breakthrough Listen Search for Extraterrestrial Intelligence

Opportunities to Search for Extra-Terrestrial Intelligence with the Five-hundred-meter Aperture Spherical radio Telescope


Speedy Cosmic Ray Annihilation Package in Python

The X-shooter GRB afterglow legacy sample (XS-GRB)

Hydrogen-rich supernovae beyond the neutrino-driven core-collapse paradigm

No surviving companion in Kepler's supernova

Extremely late photometry of the nearby SN 2011fe

Analysis of Neptune's 2017 bright equatorial storm

Are All Post-starbursts Mergers? HST Reveals Hidden Disturbances in the Majority of PSBs

The Birth of a Relativistic Jet Following the Disruption of a Star by a Cosmological Black Hole

JWST/MIRI Simulated Imaging: Insights into Obscured Star Formation and AGNs for Distant Galaxies in Deep Surveys

The Prevalence and Influence of Circumstellar Material around Hydrogen-rich Supernova Progenitors

The Automated Photometry of Transients pipeline (AutoPhOT)


Xplique is a Neural Networks Explainability Toolbox

Explainable AI for Bioinformatics: Methods, Tools, and Applications

Xplique: A Deep Learning Explainability Toolbox

Unlocking Feature Visualization for Deeper Networks with MAgnitude
  Constrained Optimization


American Gut open-access data and IPython notebooks

Gut microbiota diversity across ethnicities in the United States

Diversity and Composition of the Adult Fecal Microbiome Associated with History of Cesarean Birth or Appendectomy: Analysis of the American Gut Project

MicrobiomeGWAS: A Tool for Identifying Host Genetic Variants Associated with Microbiome Composition

Extending species-area relationships (SAR) to diversity-area relationships (DAR).

The Microbiome and Metabolomic Profile of the Transplanted Intestine with Long-Term Function

MNEMONIC: MetageNomic Experiment Mining to create an OTU Network of Inhabitant Correlations

Estimating the Optimum Coverage and Quality of Amplicon Sequencing With Taylor’s Power Law Extensions

Frontiers in bioengineering and biotechnology


A community-contributed tool box for managing, analyzing, and visualizing WRF Hydro (and NWM) input and output files in R.


Creating heat and power demand profiles from annual values.

Speed of technological transformations required in Europe to achieve different climate goals

The potential role of a hydrogen network in Europe


Thermal energy components for the Open Energy Modeling Framework (oemof).


fastPM - A N-body Particle Mesh solver that scales

Learning to predict the cosmological structure formation

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

FastPM: a new scheme for fast simulations of dark matter and haloes

Monthly notices of the Royal Astronomical Society

Iterative initial condition reconstruction

ICE-COLA: towards fast and accurate synthetic galaxy catalogues optimizing a quasi-N-body method

Cosmological reconstruction from galaxy light: neural network based light-matter connection

Journal of Cosmology and Astroparticle Physics

Halo bias in Lagrangian Space: Estimators and theoretical predictions

Large-scale dark matter simulations

Living reviews in computational astrophysics

TARDIS. I. A Constrained Reconstruction Approach to Modeling the z similar to 2.5 Cosmic Web Probed by Ly alpha Forest Tomography

A fast particle-mesh simulation of non-linear cosmological structure formation with massive neutrinos

The early growth of supermassive black holes in cosmological hydrodynamic simulations with constrained Gaussian realizations


Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.

Kimera: an Open-Source Library for Real-Time Metric-Semantic Localization and Mapping

Kimera: From SLAM to spatial perception with 3D dynamic scene graphs

The international journal of robotics research

Incremental Visual-Inertial 3D Mesh Generation with Structural Regularities

Exploring Extended Reality with ILLIXR: A New Playground for Architecture Research.


Grammar of Graph Graphics

Single-cell brain organoid screening identifies developmental defects in autism

Salinity Gradient Controls Microbial Community Structure and Assembly in Coastal Solar Salterns

Identification of Risk Factors for African Swine Fever: A Systematic Review

Identifying and tracking mobile elements in evolving compost communities yields insights into the nanobiome

Metabolomic profiles in night shift workers: A cross-sectional study on hospital female nurses

ggkegg: analysis and visualization of KEGG data utilizing the grammar of graphics

Metagenomic Strain-Typing Combined with Isolate Sequencing Provides Increased Resolution of the Genetic Diversity of Campylobacter jejuni Carriage in Wild Birds


Interpretability Methods for tf.keras models with Tensorflow 2.x

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

International journal of computer vision

Axiomatic Attribution for Deep Networks

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

Grad-CAM++: Improved Visual Explanations for Deep Convolutional Networks

Workshop on Applications of Computer Vision

SmoothGrad: removing noise by adding noise

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond

Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review

Deep Learning for the Classification of Non-Hodgkin Lymphoma on Histopathological Images


COVID-Net Open Source Initiative

COVID-Net: a tailored deep convolutional neural network design for detection of COVID-19 cases from chest X-ray images

Contrastive Learning of Medical Visual Representations from Paired Images and Text

COVID-ResNet: A Deep Learning Framework for Screening of COVID19 from Radiographs

COVIDGR Dataset and COVID-SDNet Methodology for Predicting COVID-19 Based on Chest X-Ray Images

Unveiling COVID-19 from CHEST X-Ray with Deep Learning: A Hurdles Race with Small Data

Zenodo (CERN European Organization for Nuclear Research)

Automated Detection and Forecasting of COVID-19 using Deep Learning Techniques: A Review

COVID-19 Control by Computer Vision Approaches: A Survey

IEEE access : practical innovations, open solutions

BS-Net: Learning COVID-19 pneumonia severity on a large chest X-ray dataset

A Survey on Applications of Artificial Intelligence in Fighting Against COVID-19

A review of deep learning-based detection methods for COVID-19


Package for consistent reporting of relative free energy results

Best Practices for Alchemical Free Energy Calculations [Article v1.0]

Living journal of computational molecular science

Towards chemical accuracy for alchemical free energy calculations with hybrid physics-based machine learning / molecular mechanics potentials

Identifying and overcoming the sampling challenges in relative binding free energy calculations of a model protein:protein complex

bioRxiv : the preprint server for biology

GRAM: A True Null Model for Relative Binding Affinity Predictions

Journal of chemical information and modeling


Otter, a multi-modal model based on OpenFlamingo (open-sourced version of DeepMind's Flamingo), trained on MIMIC-IT and showcasing improved instruction-following and in-context learning ability.

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

Instruction Tuning for Large Language Models: A Survey

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive
  Vision-Language Models

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

OtterHD: A High-Resolution Multi-modality Model


Generating Sentiment-Preserving Fake Online Reviews Using Neural Language Models and Their Human- and Machine-based Detection

Generating Counter Narratives against Online Hate Speech: Data and Strategies

Conversational Bots for Psychotherapy: A Study of Generative Transformer Models Using Domain-specific Dialogues

Workshop on Biomedical Natural Language Processing

Can Machines Tell Stories? A Comparative Study of Deep Neural Language Models and Metrics

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


Distilled and Refined Annotation of Metabolism: A tool for the annotation and curation of function for microbial and viral genomes

DRAM for distilling microbial metabolism to automate the curation of microbiome function

Genome-Resolved Metaproteomics Decodes the Microbial and Viral Contributions to Coupled Carbon and Nitrogen Cycling in River Sediments

Genome-resolved metagenomics reveals novel archaeal and bacterial genomes from Amazonian forest and pasture soils

Extracellular vesicles are the main contributor to the non-viral protected extracellular sequence space


dcmqi (DICOM for Quantitative Imaging) is a free, open source C++ library for conversion between imaging research formats and the standard DICOM representation for image analysis results

dcmqi : An Open Source Library for Standardized Communication of Quantitative Image Analysis Results Using DICOM.

DICOM re‐encoding of volumetrically annotated Lung Imaging Database Consortium (LIDC) nodules

Medical physics on CD-ROM/Medical physics

Toward uniform implementation of parametric map Digital Imaging and Communication in Medicine standard in multisite quantitative diffusion imaging studies

Journal of medical imaging (Bellingham, Wash.)

A vendor-agnostic, PACS integrated, and DICOM-compatible software-server pipeline for testing segmentation algorithms within the clinical radiology workflow


The interactive graphing library for Python :sparkles: This project now includes Plotly Express!

Building a global alliance of biofoundries

dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python

Brand Intelligence Analytics

Plotly-Resampler: Effective Visual Analytics for Large Time Series

Leafmap: A Python package for interactive mapping and geospatial analysis with minimal coding in a Jupyter environment

Reverse-zoonoses of 2009 H1N1 pandemic influenza A viruses and evolution in United States swine results in viruses with zoonotic potential

On the Origin of LLMs: An Evolutionary Tree and Graph for 15,821 Large
  Language Models

Accessible Color Sequences for Data Visualization

A global survey of Salmonella plasmids and their associations with antimicrobial resistance

Genealogical inference and more flexible sequence clustering using iterative PopPUNK


Repository for the Python Crop Simulation Environment

Catching-up with genetic progress: Simulation of potential production for modern wheat cultivars in the Netherlands


A Semi-Automated Machine Learning Pipeline. Developed by the Shiu Lab. Implemented using SciKit-Learn

Putative cis-Regulatory Elements Predict Iron Deficiency Responses in Arabidopsis Roots

The cis-regulatory codes of response to combined heat and drought stress in Arabidopsis thaliana

Within- and cross-species predictions of plant specialized metabolism genes using transfer learning


Keras Temporal Convolutional Network.

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding

Fast and accurate annotation of acoustic signals with deep neural networks

Beyond Correlation: A Path-Invariant Measure for Seismogram Similarity

Nozzle Thermal Estimation for Fused Filament Fabricating 3D Printer Using Temporal Convolutional Neural Networks

Investigating the Effects of Training Set Synthesis for Audio Segmentation of Radio Broadcast

Real-time detection of anomalies in large-scale transient surveys

El-CID: a filter for gravitational-wave electromagnetic counterpart identification

Generalized Deep Learning EEG Models for Cross-Participant and Cross-Task Detection of the Vigilance Decrement in Sustained Attention Tasks

The LSST-DESC 3x2pt Tomography Optimization Challenge


A numerical solver package for a wide range of quantum lattice models based on many-variable Variational Monte Carlo method

Restricted Boltzmann machine learning for solving strongly correlated quantum systems

mVMC—Open-source software for many-variable variational Monte Carlo method

Competition among Superconducting, Antiferromagnetic, and Charge Orders with Intervention by Phase Separation in the 2D Holstein-Hubbard Model.

Correlation-induced superconductivity dynamically stabilized and enhanced by laser irradiation

Excitons and Dark Fermions as Origins of Mott Gap, Pseudogap and Superconductivity in Cuprate Superconductors — General Concept and Basic Formalism Based on Gap Physics

Journal of the Physical Society of Japan

Spin nematics in frustrated spin-dimer systems with bilayer structure

Optimized implementation for calculation and fast-update of Pfaffians installed to the open-source fermionic variational solver mVMC

MateriApps LIVE! and MateriApps Installer: Environment for starting and scaling up materials science simulations


robomimic: A Modular Framework for Robot Learning from Demonstration

What Matters in Learning from Offline Human Demonstrations for Robot Manipulation

Learning and Retrieval from Prior Data for Skill-based Imitation
  Learning

Sequence Modeling is a Robust Contender for Offline Reinforcement
  Learning


R package for oceanographic processing

oce: an R package for Oceanographic Analysis


Offshore Renewable Balance-of-system Installation Tool (ORBIT)


A flexible and extensible framework for gait recognition. You can focus on designing your own models and comparing with state-of-the-arts easily with the help of OpenGait.

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

GaitPart: Temporal Part-Based Model for Gait Recognition

Gait Lateral Network: Learning Discriminative and Compact Representations for Gait Recognition

Gait Recognition in the Wild with Dense 3D Representations and A Benchmark

OpenGait: Revisiting Gait Recognition Toward Better Practicality

GaitEdge: Beyond Plain End-to-end Gait Recognition for Better
  Practicality

A Comprehensive Survey on Deep Gait Recognition: Algorithms, Datasets
  and Challenges

LidarGait: Benchmarking 3D Gait Recognition with Point Clouds

GaitGL: Learning Discriminative Global-Local Feature Representations for
  Gait Recognition

RealGait: Gait Recognition for Person Re-Identification


Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models.  Advbox give a command line tool to generate adversarial examples with Zero-Coding.

Towards a Robust Deep Neural Network in Texts: A Survey

Advbox: a toolbox to generate adversarial examples that fool neural networks

TROJANZOO: Everything you ever wanted to know about neural backdoors (but were afraid to ask).

TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors

Defend Against Adversarial Samples by Using Perceptual Hash

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

Cloud-based Image Classification Service Is Not Robust To Adversarial Examples: A Forgotten Battlefield

A Tour of Convolutional Networks Guided by Linear Interpreters

Attacking and Defending Machine Learning Applications of Public Cloud

Order-preserving Consistency Regularization for Domain Adaptation and Generalization


Contains code for tackling 1 dimensional (quantum) problems using tensor network algorithms.

Critical Lattice Model for a Haagerup Conformal Field Theory

Efficient higher-order matrix product operators for time evolution

The chiral Gross-Neveu model on the lattice via a Landau-forbidden phase transition

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


Consolidated switch repo (API, SAI and Nettlink)

Uncovering Bugs in P4 Programs with Assertion-based Verification

P4K: A Formal Semantics of P4 and Applications

Can we exploit buggy P4 programs?

A Case for Data Centre Traffic Management on Software Programmable Ethernet Switches

PROCEEDING OF THE 2019 IEEE 8TH INTERNATIONAL CONFERENCE ON CLOUD NETWORKING (CLOUDNET)

Towards Runtime Verification of Programmable Switches

DUNE: Improving Accuracy for Sketch-INT Network Measurement Systems


Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data

A method for multiscale community detection in brain networks

Problem-Driven Scenario Clustering in Stochastic Optimization

A Transfer Learning Framework for Predictive Energy-Related Scenarios in Smart Buildings

IEEE transactions on industry applications

Know Your Clients' behaviours: a cluster analysis of financial transactions

Visualizing Inequality in Health and Socioeconomic Wellbeing in the EU: Findings from the SHARE Survey

International journal of environmental research and public health

A new PCA-based utility measure for synthetic data evaluation

Mutual Information Scoring: Increasing Interpretability in Categorical Clustering Tasks with Applications to Child Welfare Data

Cognitive Relevance Transform for Population Re-Targeting

An Empirical Taxonomy of Common Curb Zoning Configurations in Seattle

Behavioral and Metabolic Risk Factors for Noncommunicable Diseases among Population in the Republic of Srpska (Bosnia and Herzegovina)


A code to generate atomic structure with symmetry

PyXtal: A Python library for crystal structure generation and symmetry analysis

Assessing the feasibility of near-ambient conditions superconductivity
  in the Lu-N-H system

Spectral neural network potentials for binary alloys

Structure prediction of two-dimensional materials based on neural network-driven evolutionary technique

On Transferability of Machine Learning Force Fields: A Case Study on Silicon

Quantification of Crystal Packing Similarity from Spherical Harmonic Transform


Beta-RecSys: Build, Evaluate and Tune Automated Recommender Systems

Neural Graph Collaborative Filtering

PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)

KGAT: Knowledge Graph Attention Network for Recommendation

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

Personalized Top-N Sequential Recommendation via Convolutional Sequence Embedding

Variational Autoencoders for Collaborative Filtering

A Simple Convolutional Generative Network for Next Item Recommendation

Collaborative Memory Network for Recommendation Systems

International ACM SIGIR Conference on Research and Development in Information Retrieval

Representing and Recommending Shopping Baskets with Complementarity, Compatibility and Loyalty

International Conference on Information and Knowledge Management

BETA-Rec: Build, Evaluate and Tune Automated Recommender Systems

RECSYS 2020: 14TH ACM CONFERENCE ON RECOMMENDER SYSTEMS


Boavizta.org Data repository


Applying the FAIR principles to data in a hospital: challenges and opportunities in a pandemic

FAIR Data Point: A FAIR-Oriented Approach for Metadata Publication

The FAIR Funder pilot programme to make it easy for funders to require
  and for grantees to produce FAIR Data

Towards FAIR protocols and workflows: The OpenPREDICT case study


zk-SNARK library.

ZETH: On Integrating Zerocash on Ethereum

TEEvil: Identity Lease via Trusted Execution Environments

Hardware acceleration of number theoretic transform for zk‐SNARK

Formal Verification of Zero-Knowledge Circuits

International Workshop on the ACL2 Theorem Prover and Its Applications

Extending Expressive Access Policies with Privacy Features

ZKSENSE: A Friction-less Privacy-Preserving Human Attestation Mechanism for Mobile Devices

Proceedings on Privacy Enhancing Technologies


Benchmarking analysis of data integration tools

scMC learns biological variation through the alignment of multiple single-cell genomics datasets

Benchmarking atlas-level data integration in single-cell genomics

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

Evaluating batch correction methods for image-based cell profiling

bioRxiv : the preprint server for biology


BirdNET analyzer for scientific audio data processing.

Global birdsong embeddings enable superior transfer learning for bioacoustic classification

Hearing to the Unseen: AudioMoth and BirdNET as a Cheap and Easy Method for Monitoring Cryptic Bird Species

Correlation Clustering of Bird Sounds


Computes the AST difference (aka edit script) between two Spoon Java source code abstract syntax trees

Fine-grained and accurate source code differencing

International Conference on Automated Software Engineering

Coming: A Tool for Mining Change Pattern Instances from Git Commits

International Conference on Software Engineering

Towards an automated approach for bug fix pattern detection

Root cause prediction based on bug reports

International Symposium on Software Reliability Engineering

Spork: Structured Merge for Java With Formatting Preservation

IEEE transactions on software engineering


Unofficial Parallel WaveGAN (+ MelGAN & Multi-band MelGAN & HiFi-GAN & StyleMelGAN) with Pytorch

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

WaveGrad: Estimating Gradients for Waveform Generation

Recent Developments on ESPnet Toolkit Boosted by Conformer

A Survey on Neural Speech Synthesis

Voice Transformer Network: Sequence-to-Sequence Voice Conversion Using Transformer with Text-to-Speech Pretraining

WaveFake: A Data Set to Facilitate Audio Deepfake Detection

ISTFTNET: Fast and Lightweight Mel-Spectrogram Vocoder Incorporating Inverse Short-Time Fourier Transform

The 2020 ESPnet Update: New Features, Broadened Applications, Performance Improvements, and Future Plans

Study of Pre-Processing Defenses Against Adversarial Attacks on State-of-the-Art Speaker Recognition Systems

TFGAN: Time and Frequency Domain Based Generative Adversarial Network for High-fidelity Speech Synthesis


Collection of reinforcement learning algorithms

Conservative Q-Learning for Offline Reinforcement Learning

Reinforcement Learning with Augmented Data

Visual Reinforcement Learning with Imagined Goals

Offline Reinforcement Learning with Implicit Q-Learning

AWAC: Accelerating Online Reinforcement Learning with Offline Datasets

Advantage-Weighted Regression: Simple and Scalable Off-Policy Reinforcement Learning

Skew-Fit: State-Covering Self-Supervised Reinforcement Learning

SUNRISE: A Simple Unified Framework for Ensemble Learning in Deep Reinforcement Learning

Uncertainty-Based Offline Reinforcement Learning with Diversified Q-Ensemble

OPAL: Offline Primitive Discovery for Accelerating Offline Reinforcement Learning


Computational Fluid Dynamics in JAX

Learning to correct spectral methods for simulating turbulent flows

A Neural PDE Solver with Temporal Stencil Modeling

Detectability and global observer design for 2D Navier-Stokes equations
  with uncertain inputs


White matter tractography clustering and more...

Automated white matter fiber tract identification in patients with brain tumors

Free water modeling of peritumoral edema using multi-fiber tractography: Application to tracking the arcuate fasciculus for neurosurgical planning

White matter association tracts underlying language and theory of mind: An investigation of 809 brains from the Human Connectome Project

Supwma: Consistent and Efficient Tractography Parcellation of Superficial White Matter with Deep Learning

Alignment of Tractograms As Graph Matching

Superficial White Matter Analysis: An Efficient Point-cloud-based Deep
  Learning Framework with Supervised Contrastive Learning for Consistent
  Tractography Parcellation across Populations and dMRI Acquisitions

Model and Predict Age and Sex in Healthy Subjects Using Brain White Matter Features: A Deep Learning Approach

The organization of frontostriatal brain wiring in non-affective early psychosis compared with healthy subjects using a novel diffusion imaging fiber cluster analysis

Automatic oculomotor nerve identification based on data‐driven fiber clustering

Harmonized diffusion MRI data and white matter measures from the Adolescent Brain Cognitive Development Study


Bayesian multi-object tracking

A Liquid to Solid Phase Transition Underlying Pathological Huntingtin Exon1 Aggregation

Local cellular neighborhood controls proliferation in cell competition

Automated Deep Lineage Tree Analysis Using a Bayesian Single Cell Tracking Approach

Cell-scale biophysical determinants of cell competition in epithelia


Download numerical weather prediction datasets (HRRR, RAP, GFS, IFS, etc.) from NOMADS, NODD partners (Amazon, Google, Microsoft), ECMWF open data, and the University of Utah Pando Archive System.

Cloud archiving and data mining of High-Resolution Rapid Refresh forecast model output


LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping

LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time

International Conference on Robotics and Automation

Autonomous Exploration Development Environment and the Planning Algorithms

Generating Large Convex Polytopes Directly on Point Clouds

Piecewise Linear De-skewing for LiDAR Inertial Odometry

onlineFGO: Online Continuous-Time Factor Graph Optimization with
  Time-Centric Multi-Sensor Fusion for Robust Localization in Large-Scale
  Environments

3D LiDAR Point Cloud Registration Based on IMU Preintegration in Coal Mine Roadways

GNSS/Multi-Sensor Fusion Using Continuous-Time Factor Graph Optimization
  for Robust Localization


Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

U-Net: Convolutional Networks for Biomedical Image Segmentation

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

Pyramid Scene Parsing Network

Fully Convolutional Instance-aware Semantic Segmentation

Deep Learning Approaches Applied to Remote Sensing Datasets for Road Extraction: A State-Of-The-Art Review

An attention-based U-Net for detecting deforestation within satellite sensor imagery

International journal of applied earth observation and geoinformation

Autonomous Crop Row Guidance Using Adaptive Multi-ROI in Strawberry Fields

Deep Learning Fast Screening Approach on Cytological Whole Slides for Thyroid Cancer Diagnosis

Image Segmentation Keras : Implementation of Segnet, FCN, UNet, PSPNet
  and other models in Keras

Fast Segmentation of Metastatic Foci in H&E Whole-Slide Images for Breast Cancer Diagnosis


Developed to power Conveyal's web-based interface for scenario planning and land-use/transport accessibility analysis, R5 is our routing engine for multimodal (transit/bike/walk/car) networks with a particular focus on public transit

Travel times and transfers in public transport: Comprehensive accessibility analysis based on Pareto-optimal journeys

Computers, environment and urban systems

BEAM: The Modeling Framework for Behavior, Energy, Autonomy & Mobility

Half-(head)way there: Comparing two methods to account for public transport waiting time in accessibility indicators

Environment and planning. B, Urban analytics and city science/Environment & planning. B, Urban analytics and city science


The open-sourced Python toolbox for backdoor attacks and defenses.

BackdoorBox: A Python Toolbox for Backdoor Learning

Black-box Dataset Ownership Verification via Backdoor Watermarking

How to Sift Out a Clean Data Subset in the Presence of Data Poisoning?

Domain Watermark: Effective and Harmless Dataset Copyright Protection is
  Closed at Hand

Defending Against Backdoor Attacks by Layer-wise Feature Analysis


MetaPhlAn is a computational tool for profiling the composition of microbial communities from metagenomic shotgun sequencing data

Microbiome connections with host metabolism and habitual diet from 1,098 deeply phenotyped individuals

Extending and improving metagenomic taxonomic profiling with uncharacterized species with MetaPhlAn 4

Variability of strain engraftment and predictability of microbiome composition after fecal microbiota transplantation across different diseases

Associations of the intestinal microbiome with the complement system in neovascular age-related macular degeneration

Comparing Circadian Rhythmicity in the Human Gut Microbiome

Bioinformatic approaches for studying the microbiome of fermented food

Isolation of Elizabethkingia anophelis From COVID-19 Swab Kits

Whole-Genome Sequencing Analysis to Identify Infection with Multiple Species of Nontuberculous Mycobacteria

Antibiotic-Induced Primary Biles Inhibit SARS-CoV-2 Endoribonuclease Nsp15 Activity in Mouse Gut

Frontiers in cellular and infection microbiology

MDITRE: scalable and interpretable machine learning for predicting host status from temporal microbiome dynamics


The SUMMIT simulator

SUMMIT: A Simulator for Urban Driving in Massive Mixed Traffic

GAMMA: A General Agent Motion Model for Autonomous Driving

Simulating Autonomous Driving in Massive Mixed Urban Traffic


Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics

Procedural Content Generation via Machine Learning (PCGML)

Open-Ended Learning Leads to Generally Capable Agents

Tile pattern KL-divergence for analysing and evolving game levels

Proceedings of the Genetic and Evolutionary Computation Conference

Addressing the Fundamental Tension of PCGML with Discriminative Learning

Procedural generation using quantum computation

International Conference on the Foundations of Digital Games

On Mixed-Initiative Content Creation for Video Games

Path of Destruction: Learning an Iterative Level Generator Using a Small Dataset

Generating Paths with WFC

Virtual and Real Body Experience Comparison Using Mixed Reality Cycling Environment

Wave Function Collapse Coloring: A New Heuristic for Fast Vertex Coloring.


Audio Normalization for Python/ffmpeg

YourTTS: Towards Zero-Shot Multi-Speaker TTS and Zero-Shot Voice
  Conversion for everyone

Learning Speech-driven 3D Conversational Gestures from Video

Deep-Learning-Based Audio-Visual Speech Enhancement in Presence of Lombard Effect

Schrodinger Bridges Beat Diffusion Models on Text-to-Speech Synthesis


Python implementation of TextRank algorithms ("textgraphs") for phrase extraction

Energy and Policy Considerations for Deep Learning in NLP

Show Your Work: Improved Reporting of Experimental Results

Context-Aware Sentence/Passage Term Importance Estimation For First Stage Retrieval

The Microsoft Academic Knowledge Graph enhanced: Author name disambiguation, publication classification, and embeddings

Understanding Horizon 2020 Data: A Knowledge Graph-Based Approach

Hierarchical Attention Transformer Architecture For Syntactic Spell Correction

Identifying Early Warning Signals from News Using Network Community Detection

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

Parmesan: mathematical concept extraction for education


QIIME 2 plugin supporting taxonomic classification

Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin

Interpretations of Environmental Microbial Community Studies Are Biased by the Selected 16S rRNA (Gene) Amplicon Sequencing Pipeline

Geographical and Cultivar Features Differentiate Grape Microbiota in Northern Italy and Spain Vineyards

Experimental Inoculation of Coral Recruits With Marine Bacteria Indicates Scope for Microbiome Manipulation in Acropora tenuis and Platygyra daedalea

Changes in the Drinking Water Microbiome: Effects of Water Treatments Along the Flow of Two Drinking Water Treatment Plants in a Urbanized Area, Milan (Italy)

Effects of Zinc Pollution and Compost Amendment on the Root Microbiome of a Metal Tolerant Poplar Clone

Arsenic behavior in groundwater in Hanoi (Vietnam) influenced by a complex biogeochemical network of iron, methane, and sulfur cycling.

Production of Naturally γ-Aminobutyric Acid-Enriched Cheese Using the Dairy Strains Streptococcus thermophilus 84C and Lactobacillus brevis DSM 32386

Tibet plateau probiotic mitigates chromate toxicity in mice by alleviating oxidative stress in gut microbiota

Distinct Microbial Communities in Adjacent Rock and Soil Substrates on a High Arctic Polar Desert


A Julia/JuMP Package for Water Distribution Network Optimization

Polyhedral Relaxations for Optimal Pump Scheduling of Potable Water
  Distribution Networks

Exact Mixed-integer Convex Programming Formulation for Optimal Water Network Design.


[NeurIPS 2023 Spotlight] LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios

Mastering Atari, Go, chess and shogi by planning with a learned model

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Mastering Atari Games with Limited Data

Planning in Stochastic Environments with a Learned Model

International Conference on Learning Representations

Policy improvement by planning with Gumbel

Towards High Efficient Long-horizon Planning with Expert-guided
  Motion-encoding Tree Search


Awful AI is a curated list to track current scary usages of AI - hoping to raise awareness

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

Social Network Structure as a Predictor of Social Behavior: The Case of Protest in the 2016 US Presidential Election

Prioritizing Policies for Furthering Responsible Artificial Intelligence in the United States


DSTC8 Track 1 Task 1 End-to-End Multi-Domain Dialog Challenge Result:

ConvLab: Multi-Domain End-to-End Dialog System Platform

The Eighth Dialog System Technology Challenge

SUMBT+LaRL: Effective Multi-Domain End-to-End Neural Task-Oriented Dialog System

Dual Learning for Dialogue State Tracking


TraCeR - reconstruction of T cell receptor sequences from single-cell RNAseq data

T cell fate and clonality inference from single-cell transcriptomes

T Cell Receptor Profiling in Type 1 Diabetes

Revealing Clonal Responses of Tumor-Reactive T-Cells Through T Cell Receptor Repertoire Analysis

Opposing immune and genetic forces shape oncogenic programs in synovial sarcoma


DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia

Fourier Neural Operator for Parametric Partial Differential Equations

Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

Neural Operator: Graph Kernel Network for Partial Differential Equations

Learning Dissipative Dynamics in Chaotic Systems


JARVIS-Tools: an open-source software package for data-driven atomistic materials design. Publications: https://scholar.google.com/citations?user=3w6ej94AAAAJ

Atomistic Line Graph Neural Network for improved materials property predictions

The joint automated repository for various integrated simulations (JARVIS) for data-driven materials design

Recent advances and applications of deep learning methods in materials science

Machine learning with force-field-inspired descriptors for materials: Fast screening and mapping energy landscape

Accelerated Discovery of Efficient Solar-cell Materials using Quantum and Machine-learning Methods.

Chemistry of materials : a publication of the American Chemical Society

Computational screening of high-performance optoelectronic materials using OptB88vdW and TB-mBJ formalisms

Convergence and machine learning predictions of Monkhorst-Pack k-points and plane-wave cut-off in high-throughput DFT calculations

High-throughput density functional perturbation theory and machine learning predictions of infrared, piezoelectric, and dielectric responses

Computational search for magnetic and non-magnetic 2D topological materials using unified spin-orbit spillage screening

Data-driven discovery of 3D and 2D thermoelectric materials

Journal of physics. Condensed matter : an Institute of Physics journal


Fast audio data augmentation in PyTorch. Inspired by audiomentations. Useful for deep learning.

AudioCLIP: Extending CLIP to Image, Text and Audio

Adaptive Representations of Sound for Automatic Insect Recognition

Audio Denoising for Robust Audio Fingerprinting


Official repository for Semantic Web for Earth and Environmental Terminology (SWEET) Ontologies

Ontology engineering methodologies for the evolution of living and reused ontologies: status, trends, findings and recommendations

Artificial intelligence in space


"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak
  Prompts on Large Language Models

On the Tool Manipulation Capability of Open-source Large Language Models

Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and
  Vulnerabilities

Comprehensive Assessment of Jailbreak Attacks Against LLMs


MiXCR is an ultimate software platform for analysis of Next-Generation Sequencing (NGS) data for immune profiling.

High-throughput sequencing of the T-cell receptor repertoire: pitfalls and opportunities

Use of machine learning to identify a T cell response to SARS-CoV-2

Localization of T cell clonotypes using the Visium spatial transcriptomics platform

Rapid expansion of Treg cells protects from collateral colitis following a viral trigger

Tumor immune microenvironment and mutational analysis of tracheal adenoid cystic carcinoma

RNA-Seq-Based TCR Profiling Reveals Persistently Increased Intratumoral Clonality in Responders to Anti-PD-1 Therapy

The use of non-functional clonotypes as a natural calibrator for quantitative bias correction in adaptive immune receptor repertoire profiling

Tumor-induced double positive T cells display distinct lineage commitment mechanisms and functions

The Journal of experimental medicine/The journal of experimental medicine

Features and therapeutic potential of T-cell receptors in high-grade glioma

Time-spatial analysis of T cell receptor repertoire in esophageal squamous cell carcinoma patients treated with combined radiotherapy and PD-1 blockade


Creative Commons Attribution 4.0 International

information artifact ontology

Introducing the Open Energy Ontology: Enhancing data interpretation and interfacing in energy systems analysis

Community standards for open cell migration data

The Ontology of Biological and Clinical Statistics (OBCS) for standardized and reproducible statistical analysis

Transforming the study of organisms: Phenomic data models and knowledge bases

Organizing phenotypic data—a semantic data model for anatomy

OPTION: OPTImization Algorithm Benchmarking ONtology

Structuring, reuse and analysis of electronic dental data using the Oral Health and Disease Ontology

Topical Classification of Food Safety Publications with a Knowledge Base


Computing reachable states of dynamical systems in Julia

Reach Set Approximation through Decomposition with Low-dimensional Sets and High-dimensional Matrices

ARCH-COMP22 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics

ARCH-COMP21 Category Report: Continuous and Hybrid Systems with Nonlinear Dynamics

ARCH-COMP19 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics

Reachability Analysis of Linear Hybrid Systems via Block Decomposition

ARCH-COMP20 Category Report: Continuous and Hybrid Systems with Linear Continuous Dynamics

Efficient reachability analysis of parametric linear hybrid systems with time-triggered transitions


Asset exposure data for global physical risk assessment

CLIMADA v1.4.1: towards a globally consistent adaptation options appraisal tool

Regional tropical cyclone impact functions for globally consistent risk assessments

Natural hazards and earth system sciences

Comparing an insurer's perspective on building damages with modelled damages from pan-European winter windstorm event sets: a case study from Zurich, Switzerland

Large-scale risk assessment on snow avalanche hazard in alpine regions

Bayesian modeling of insurance claims for hail damage


experiments with RETURNN

Improved training of end-to-end attention models for speech recognition

RWTH ASR Systems for LibriSpeech: Hybrid vs Attention

Language Modeling with Deep Transformers

Self-attention Networks for Connectionist Temporal Classification in Speech Recognition

International Conference on Acoustics, Speech, and Signal Processing

RETURNN as a Generic Flexible Neural Toolkit with Application to Translation and Speech Recognition

Meeting of the Association for Computational Linguistics

A Comparative Study on End-to-end Speech to Text Translation

Generating Synthetic Audio Data for Attention-Based Speech Recognition Systems

A New Training Pipeline for an Improved Neural Transducer

Investigating Methods to Improve Language Model Integration for Attention-based Encoder-Decoder ASR Models

Librispeech Transducer Model with Internal Language Model Prior Correction


Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).

Deep Graph Clustering via Dual Correlation Reduction

Hard Sample Aware Network for Contrastive Deep Graph Clustering

A Survey of Deep Graph Clustering: Taxonomy, Challenge, Application, and
  Open Resource

Efficient Graph Convolution for Joint Node Representation Learning and Clustering

Dink-Net: Neural Clustering on Large Graphs

Fine-grained Attributed Graph Clustering

Society for Industrial and Applied Mathematics eBooks

Reinforcement Graph Clustering with Unknown Cluster Number

Uncertainty in GNN Learning Evaluations: The Importance of a Consistent
  Benchmark for Community Detection

Graph Clustering with High-Order Contrastive Learning

Uncertainty in GNN Learning Evaluations: A Comparison between Measures for Quantifying Randomness in GNN Community Detection


A toolkit that streamlines and automates the generation of model cards

Model Cards for Model Reporting

Proceedings of the Conference on Fairness, Accountability, and Transparency

Next Steps for Human-Centered Generative AI: A Technical Perspective

Continuous design control for machine learning in certified medical systems

Using Knowledge Graphs to Unlock Practical Collection, Integration, and Audit of AI Accountability Information


Python framework for processing Universal Dependencies data

Multitask Parsing Across Semantic Representations

Udapi: Universal API for Universal Dependencies

Parameter sharing between dependency parsers for related languages

Treebank Embedding Vectors for Out-of-domain Dependency Parsing

Cross-lingual Parsing with Polyglot Training and Multi-treebank Learning: A Faroese Case Study

Lexicon-Enhanced Neural Lemmatization for Estonian

HUMAN LANGUAGE TECHNOLOGIES - THE BALTIC PERSPECTIVE (HLT 2020)

Neural End-to-End Coreference Resolution using Morphological Information

Proceedings of the CRAC 2023 Shared Task on Multilingual Coreference Resolution


A Planetary Intensity Code for Atmospheric Spectroscopy Observations

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

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

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

Generic Models for Disk-resolved and Disk-integrated Phase-dependent Linear Polarization of Light Reflected from Exoplanets


SMAC: The StarCraft Multi-Agent Challenge

QMIX: Monotonic Value Function Factorisation for Deep Multi-Agent Reinforcement Learning

The StarCraft Multi-Agent Challenge

A survey and critique of multiagent deep reinforcement learning

Learning Implicit Credit Assignment for Cooperative Multi-Agent Reinforcement Learning

Contrasting Centralized and Decentralized Critics in Multi-Agent Reinforcement Learning

Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning

Cooperative Exploration for Multi-Agent Deep Reinforcement Learning

The Relationship Between Vitamin D and Asthma Exacerbation

Tesseract: Tensorised Actors for Multi-Agent Reinforcement Learning


Imaging Biomarkers and Computer-Aided Diagnosis Laboratory

Anatomy-specific classification of medical images using deep convolutional nets

International Symposium on Biomedical Imaging

Automated abnormality classification of chest radiographs using deep convolutional neural networks

3D Context Enhanced Region-based Convolutional Neural Network for End-to-End Lesion Detection

XLSor: A Robust and Accurate Lung Segmentor on Chest X-Rays Using Criss-Cross Attention and Customized Radiorealistic Abnormalities Generation

MULAN: Multitask Universal Lesion Analysis Network for Joint Lesion Detection, Tagging, and Segmentation

Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology

Truly Generalizable Radiograph Segmentation With Conditional Domain Adaptation

CXR Segmentation by AdaIN-based Domain Adaptation and Knowledge
  Distillation


Official DeiT repository

Training data-efficient image transformers & distillation through attention

Going deeper with Image Transformers

ConViT: Improving Vision Transformers with Soft Convolutional Inductive Biases

ResMLP: Feedforward networks for image classification with
  data-efficient training

Focal Attention for Long-Range Interactions in Vision Transformers

DeiT III: Revenge of the ViT

A-ViT: Adaptive Tokens for Efficient Vision Transformer

Is synthetic data from generative models ready for image recognition?

Training Vision Transformers for Image Retrieval

Task-Oriented Multi-User Semantic Communications


Datasets of daily time-series data related to COVID-19 for over 20,000 distinct locations around the world.

Predicting COVID-19 Spread from Large-Scale Mobility Data

Google COVID-19 Vaccination Search Insights: Anonymization Process Description

Satellite data and machine learning reveal a significant correlation between NO2 and COVID-19 mortality

COVID-19 Open-Data a global-scale spatially granular meta-dataset for coronavirus disease

The Variations of SIkJalpha Model for COVID-19 Forecasting and Scenario
  Projections

Differentiable and Scalable Generative Adversarial Models for Data Imputation

PAN-cODE: COVID-19 forecasting using conditional latent ODEs

Journal of the American Medical Informatics Association : JAMIA

The EpiBench Platform to Propel AI/ML-based Epidemic Forecasting: A
  Prototype Demonstration Reaching Human Expert-level Performance


A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.

Typometrics: From Implicational to Quantitative Universals in Word Order Typology

Glossa: a journal of general linguistics

An Iwasawa-Taniguchi effect for Compton-thick active galactic nuclei

The Accretion and Obscured Growth of Supermassive Black Holes

Predicting 3D genome folding from DNA sequence

The Morpho-kinematic Architecture of Super Star Clusters in the Center of NGC 253

Detection of Gravitational Redshift in Open Cluster Nondegenerate Stars

Separable Layers Enable Structured Efficient Linear Substitutions

A Global Fit of Non-Relativistic Effective Dark Matter Operators
  Including Solar Neutrinos


Python package for information theory.

Measuring Multivariate Redundant Information with Pointwise Common Change in Surprisal

Multivariate Dependence Beyond Shannon Information

dit: a Python package for discrete information theory

Unique Information via Dependency Constraints

The Partial Entropy Decomposition: Decomposing multivariate entropy and
  mutual information via pointwise common surprisal

Computing the Unique Information

International Symposium on Information Theory

BROJA-2PID: A Robust Estimator for Bivariate Partial Information Decomposition

Inter-scale information flow as a surrogate for downward causation that maintains spiral waves.

Contextual Modulation in Mammalian Neocortex is Asymmetric

The Value of Information When Deciding What to Learn


DeepFaceLab is the leading software for creating deepfakes.

The DeepFake Detection Challenge (DFDC) Dataset

On the Detection of Digital Face Manipulation

The Creation and Detection of Deepfakes: A Survey

Deep Learning for Deepfakes Creation and Detection: A Survey

Recurrent Convolutional Strategies for Face Manipulation Detection in Videos

Two-branch Recurrent Network for Isolating Deepfakes in Videos

Emotions Don't Lie: An Audio-Visual Deepfake Detection Method Using Affective Cues

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

Deepfacelab: Integrated, flexible and extensible face-swapping framework

Towards Generalizable Deepfake Detection with Locality-aware AutoEncoder


A Recurrent Mutation in Anaplastic Lymphoma Kinase with Distinct Neoepitope Conformations

ProTECT—Prediction of T-Cell Epitopes for Cancer Therapy

Computational cancer neoantigen prediction: current status and recent advances


Python implementations of the Boruta all-relevant feature selection method.

Feature Selection with the Boruta Package

Identifying Transcriptomic Signatures and Rules for SARS-CoV-2 Infection

Frontiers in cell and developmental biology

Feature Selection Algorithms as One of the Python Data Analytical Tools

BioCompoundML: A General Biofuel Property Screening Tool for Biological Molecules Using Random Forest Classifiers

Identification of Cell Markers and Their Expression Patterns in Skin Based on Single-Cell RNA-Sequencing Profiles

AI and High-Grade Glioma for Diagnosis and Outcome Prediction: Do All Machine Learning Models Perform Equally Well?

Breast Cancer Classification on Multiparametric MRI – Increased Performance of Boosting Ensemble Methods

Technology in cancer research & treatment

Identifying the Signatures and Rules of Circulating Extracellular MicroRNA for Distinguishing Cancer Subtypes

Investigation and Prediction of Human Interactome Based on Quantitative Features

Frontiers in bioengineering and biotechnology

Identifying Cell-Type Specific Genes and Expression Rules Based on Single-Cell Transcriptomic Atlas Data


Repository for the Human Disease Ontology.

Human Disease Ontology 2018 update: classification, content and workflow expansion

A harmonized meta-knowledgebase of clinical interpretations of somatic genomic variants in cancer

Disease Ontology: improving and unifying disease annotations across species

A harmonized meta-knowledgebase of clinical interpretations of cancer genomic variants

k-BOOM: A Bayesian approach to ontology structure inference, with applications in disease ontology construction

A platform for oncogenomic reporting and interpretation

Assessing resource use: a case study with the Human Disease Ontology

Database : the journal of biological databases and curation


A pytorch adversarial library for attack and defense methods on images and graphs

Adversarial Attacks and Defenses in Images, Graphs and Text: A Review

Graph Structure Learning for Robust Graph Neural Networks

Adversarial Attacks and Defenses on Graphs: A Review and Empirical Study

Adversarial Attack and Defense on Graph Data: A Survey

GNNGuard: Defending Graph Neural Networks against Adversarial Attacks

Node Similarity Preserving Graph Convolutional Networks

Graph Information Bottleneck

DeepRobust: A PyTorch Library for Adversarial Attacks and Defenses

Elastic Graph Neural Networks

Are Defenses for Graph Neural Networks Robust?


Torch implementation of ResNet from http://arxiv.org/abs/1512.03385 and training scripts

Deep Residual Learning for Image Recognition

Going Deeper with Convolutions

Densely Connected Convolutional Networks

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

International journal of computer vision

Identity Mappings in Deep Residual Networks

Wide Residual Networks

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

Cyclical Learning Rates for Training Neural Networks

Deep Networks with Stochastic Depth

Deep Sets


Matlab implementations of Gaussian processes and other machine learning tools.

MOGPTK: The Multi-Output Gaussian Process Toolkit

Probabilistic PCA of censored data: accounting for uncertainties in the visualization of high-throughput single-cell qPCR data

Approximate Inference-Based Motion Planning by Learning and Exploiting Low-Dimensional Latent Variable Models

International Conference on Robotics and Automation

Fast approximate Bayesian computation for estimating parameters in differential equations

Short-term time series prediction using Hilbert space embeddings of autoregressive processes

Indian Buffet process for model selection in convolved multiple-output Gaussian processes


Build large-scale task workflows: luigi + job submission + remote targets + environment sandboxing using Docker/Singularity

Design and Execution of make-like, distributed Analyses based on Spotify’s Pipelining Package Luigi

A Workflow Management System Guide

Design Pattern for Analysis Automation on Distributed Resources using Luigi Analysis Workflows


An open source, high scalability toolkit in Java for Entity Resolution.

SiGMa: Simple Greedy Matching for Aligning Large Knowledge Bases

Three-dimensional Entity Resolution with JedAI

Zenodo (CERN European Organization for Nuclear Research)

Reproducible experiments on Three-Dimensional Entity Resolution with JedAI

Bipartite Graph Matching Algorithms for Clean-Clean Entity Resolution:
  An Empirical Evaluation

MLOps Spanning Whole Machine Learning Life Cycle: A Survey

An analysis of one-to-one matching algorithms for entity resolution


Official git repo for iodine dns tunnel

Summary of DNS Over HTTPS Abuse

Evaluation of Apache Spot's machine learning capabilities in an SDN/NFV enabled environment

IoT Multi-Vector Cyberattack Detection Based on Machine Learning Algorithms: Traffic Features Analysis, Experiments, and Efficiency


Kriging Toolkit for Python

MultispeQ Beta: a tool for large-scale plant phenotyping connected to the open PhotosynQ network

Azimuthal Metallicity Structure in the Milky Way Disk

Kriging-Based Robotic Exploration for Soil Moisture Mapping Using a
  Cosmic-Ray Sensor

GliderTools: A Python Toolbox for Processing Underwater Glider Data

Long-term regional trends of nitrogen and sulfur deposition in the United States from 2002 to 2017

Reliability of smart noise pollution map

Air-Sea CO_2 Fluxes Localized By Topography in a Southern Ocean Channel


ANTARES Visualizations


Implementation of AudioLM, a SOTA Language Modeling Approach to Audio Generation out of Google Research, in Pytorch

GLU Variants Improve Transformer

SoundStream: An End-to-End Neural Audio Codec

AudioLM: A Language Modeling Approach to Audio Generation

The Impact of Positional Encoding on Length Generalization in
  Transformers

UniCATS: A Unified Context-Aware Text-to-Speech Framework with
  Contextual VQ-Diffusion and Vocoding


open-source IEEE 802.11 WiFi baseband FPGA (chip) design: driver, software

IRShield: A Countermeasure Against Adversarial Physical-Layer Wireless Sensing

openwifi CSI fuzzer for authorized sensing and covert channels

RT-WiFi on Software-Defined Radio: Design and Implementation

Accelerating FPGA-Based Wi-Fi Transceiver Design and Prototyping by High-Level Synthesis


Official repository for 21cmFAST: a code for generating fast simulations of the cosmological 21cm signal

HERA Phase I Limits on the Cosmic 21 cm Signal: Constraints on Astrophysics and Cosmology during the Epoch of Reionization

Reionization and galaxy inference from the high-redshift Ly α forest

Monthly Notices of the Royal Astronomical Society

The impact of the first galaxies on cosmic dawn and reionization

A tale of two sites – I. Inferring the properties of minihalo-hosted galaxies from current observations

Monthly notices of the Royal Astronomical Society

Reionization inference from the CMB optical depth and E-mode polarization power spectra

A tale of two sites - II. Inferring the properties of minihalo-hosted galaxies with upcoming 21-cm interferometers

Epoch of reionization parameter estimation with the 21-cm bispectrum

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

An effective model for the cosmic-dawn 21-cm signal

Exploring the cosmic 21-cm signal from the epoch of reionization using the wavelet scattering transform


WebAssembly Virtual Machine

Faasm: Lightweight Isolation for Efficient Stateful Serverless Computing

Twine: An Embedded Trusted Runtime for WebAssembly

International Conference on Data Engineering

A fast in-place interpreter for WebAssembly

Characterizing and Detecting WebAssembly Runtime Bugs

Copy-and-patch compilation: a fast compilation algorithm for high-level languages and bytecode

VM Matters: A Comparison of WASM VMs and EVMs in the Performance of Blockchain Smart Contracts

A General Static Binary Rewriting Framework for WebAssembly


A set of tools written in Perl and C++ for working with VCF files, such as those generated by the 1000 Genomes Project.

A Genome-Wide Association Study of Wheat Spike Related Traits in China

Analysis pipelines for cancer genome sequencing in mice

Semi-coordinated allelic-bursting shape dynamic random monoallelic expression in pre-gastrulation embryos

Detection of candidate genes affecting milk production traits in sheep using whole‐genome sequencing analysis

Noninvasive prenatal screening for cystic fibrosis using circulating trophoblasts: Detection of the 50 most common disease‐causing variants

Single cell profiling of capillary blood enables out of clinic human immunity studies

Multivariable prognostic model for heart failure in Chinese Han population‐based setting

Genetic diversity and population structure of Epichloë fungal pathogens of plants in natural ecosystems


Real-time full-duplex speech recognition server, based on the Kaldi toolkit and the GStreamer framwork.

Retrospective Analysis of Clinical Performance of an Estonian Speech Recognition System for Radiology: Effects of Different Acoustic and Language Models

Ambient Search: A Document Retrieval System for Speech Streams

International Conference on Computational Linguistics

CirdoX: an On/Off-line Multisource Speech and Sound Analysis Software

Improved Robust ASR for Social Robots in Public Spaces


Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

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

Going deeper with Image Transformers

MaxViT: Multi-Axis Vision Transformer

Efficient Training of Visual Transformers with Small Datasets

Injecting Semantic Concepts into End-to-End Image Captioning

Three things everyone should know about Vision Transformers

COVID-VIT: Classification of COVID-19 from CT chest images based on vision transformer models

Parameter Prediction for Unseen Deep Architectures

SERAB: A multi-lingual benchmark for speech emotion recognition

Rethinking Range View Representation for LiDAR Segmentation


a portable and fast pairing-based cryptography library

Non-Interactive Private Decision Tree Evaluation

Multi-Zone Authentication and Privacy-Preserving Protocol (MAPP) Based on the Bilinear Pairing Cryptography for 5G-V2X

ZPiE: Zero-Knowledge Proofs in Embedded Systems

Key-Aggregate Searchable Encryption, Revisited: Formal Foundations for Cloud Applications, and Their Implementation

Privacy ABCs: Now Ready for Your Wallets!

IEEE International Conference on Pervasive Computing and Communications

zkDL: Efficient Zero-Knowledge Proofs of Deep Learning Training

Cryptographic Protocols for Confidentiality, Authenticity and Privacy on Constrained Devices

International Conference on Ultra Modern Telecommunications

Privacy-preserving solution for vehicle parking services complying with EU legislation

Pisces: Private and Compliable Cryptocurrency Exchange

Faster Privacy-Preserving Computation of Edit Distance with Moves


A curated list of awesome deep learning applications in the field of computational biology

Dermatologist-level classification of skin cancer with deep neural networks

Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

Predicting effects of noncoding variants with deep learning–based sequence model

Deep Learning for Health Informatics

IEEE journal of biomedical and health informatics

Deep Learning in Bioinformatics

Deep learning for computational biology

The human splicing code reveals new insights into the genetic determinants of disease

Reconstructing cell cycle and disease progression using deep learning

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

DeepLoc: prediction of protein subcellular localization using deep learning


A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.

EfficientDeRain: Learning Pixel-wise Dilation Filtering for High-Efficiency Single-Image Deraining

YOLOPv2: Better, Faster, Stronger for Panoptic Driving Perception

Fully Convolutional Line Parsing

PTMTorrent: A Dataset for Mining Open-source Pre-trained Model Packages


Repository supporting the implementation of FAIR principles in the IPCC-WGI Atlas

Implementation of FAIR principles in the IPCC: the WGI AR6 Atlas repository

Global vulnerability hotspots: differences and agreement between international indicator-based assessments

Developmental Differentiations of Major Maize Stemborers Due to Global Warming in Temperate and Tropical Climates

Analyzing the PMIP4-CMIP6 ensemble: a workflow and tool (pmip_p2fvar_analyzer v1)


Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization

Larq: An Open-Source Library for Training Binarized Neural Networks

A comprehensive review of Binary Neural Network

Towards adversarial robustness with 01 loss neural networks

YFlows: Systematic Dataflow Exploration and Code Generation for Efficient Neural Network Inference using SIMD Architectures on CPUs


A Python framework for performing information retrieval experiments, building on http://terrier.org/

Declarative Experimentation in Information Retrieval using PyTerrier

International Conference on the Theory of Information Retrieval

Dense Text Retrieval based on Pretrained Language Models: A Survey

Deep Reinforced Query Reformulation for Information Retrieval

A Survey on Asking Clarification Questions Datasets in Conversational Systems

Overview of the TREC 2022 NeuCLIR Track


distributed, likelihood-free inference

Efficient exact inference for dynamical systems with noisy measurements using sequential approximate Bayesian computation

pyABC: Efficient and robust easy-to-use approximate Bayesian computation

Robust adaptive distance functions for approximate Bayesian inference on outlier-corrupted data

FitMultiCell: Simulating and parameterizing computational models of multi-scale and multi-cellular processes


loo R package for approximate leave-one-out cross-validation (LOO-CV) and Pareto smoothed importance sampling (PSIS)

Practical Bayesian model evaluation using leave-one-out cross-validation and WAIC

Advanced Bayesian Multilevel Modeling with the R Package brms

Contributed Discussion [on paper by Yao, Vehtari, Simpson, and Gelman]

blavaan: Bayesian Structural Equation Models via Parameter Expansion

Pareto Smoothed Importance Sampling

Bayesian model assessment: Use of conditional vs marginal likelihoods

Bayesian latent time joint mixed effect models for multicohort longitudinal data

Towards powerful experimental and statistical approaches to study intraindividual variability in labile traits

Analysing Standard Progressive Matrices (SPM-LS) with Bayesian Item Response Models

Bayesian Dimensionality Assessment for the Multidimensional Nominal Response Model


Platform for Situated Intelligence

AffectiveSpotlight: Facilitating the Communication of Affective Responses from Audience Members during Online Presentations

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

Platform for Situated Intelligence

Accelerating the Development of Multimodal, Integrative-AI Systems with Platform for Situated Intelligence

Can Foundation Models Watch, Talk and Guide You Step by Step to Make a Cake?


Official Repository for the Uni-Mol Series Methods

Uni-Mol: A Universal 3D Molecular Representation Learning Framework

International Conference on Learning Representations

Highly Accurate Quantum Chemical Property Prediction with Uni-Mol+

MUBen: Benchmarking the Uncertainty of Molecular Representation Models


A Python framework for high performance GPU simulation and graphics

ManiSkill2: A Unified Benchmark for Generalizable Manipulation Skills

FluidLab: A Differentiable Environment for Benchmarking Complex Fluid
  Manipulation

ANYmal Parkour: Learning Agile Navigation for Quadrupedal Robots

Rethinking Optimization with Differentiable Simulation from a Global
  Perspective

IndustReal: Transferring Contact-Rich Assembly Tasks from Simulation to
  Reality

DexDeform: Dexterous Deformable Object Manipulation with Human
  Demonstrations and Differentiable Physics

Dynamic Mesh-Aware Radiance Fields

Task-driven Compression for Collision Encoding based on Depth Images

Differentiable simulation

DefGraspNets: Grasp Planning on 3D Fields with Graph Neural Nets


Time Ordered Astrophysics Scalable Tools

Planck intermediate results. LVII. Joint Planck LFI and HFI data processing

HAL (Le Centre pour la Communication Scientifique Directe)

Exploring cosmic origins with CORE: Mitigation of systematic effects

Journal of Cosmology and Astroparticle Physics

Simulating Calibration and Beam Systematics for a Future CMB Space Mission with the TOAST Package

MAPPRAISER: A massively parallel map-making framework for multi-kilo pixel CMB experiments

Polarization and variability of compact sources measured in Planck
  time-ordered data


Python audio and music signal processing library

madmom: a new Python Audio and Music Signal Processing Library

Feature Learning for Chord Recognition: The Deep Chroma Extractor

Listen, Denoise, Action! Audio-Driven Motion Synthesis with Diffusion Models

High-Level Control of Drum Track Generation Using Learned Patterns of Rhythmic Interaction

Deep Learning-Based Automatic Downbeat Tracking: A Brief Review

Generating Music Medleys via Playing Music Puzzle Games

Towards multi-instrument drum transcription

The Freesound Loop Dataset and Annotation Tool

Multi-Modal Music Information Retrieval: Augmenting Audio-Analysis with Visual Computing for Improved Music Video Analysis

Singing voice phoneme segmentation by hierarchically inferring syllable and phoneme onset positions


Open source version of Google Authenticator (except the Android app)

T/Key: Second-Factor Authentication From Secure Hash Chains

Practical Threshold Multi-Factor Authentication

IEEE transactions on information forensics and security

An Efficient Two-Factor Authentication Scheme Based on the Merkle Tree


Bicleaner is a parallel corpus classifier/cleaner that aims at detecting noisy sentence pairs in a parallel corpus.

Quality at a Glance: An Audit of Web-Crawled Multilingual Datasets

Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade

ParaCrawl: Web-scale parallel corpora for the languages of the EU

Low-Resource Corpus Filtering using Multilingual Sentence Embeddings

Prompsit’s submission to WMT 2018 Parallel Corpus Filtering shared task

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

JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus

XFORMAL: A Benchmark for Multilingual Formality Style Transfer.

NTT Neural Machine Translation Systems at WAT 2019

Bifixer and Bicleaner: two open-source tools to clean your parallel data

European Association for Machine Translation Conferences/Workshops

OpusFilter: A Configurable Parallel Corpus Filtering Toolbox

Meeting of the Association for Computational Linguistics