Anomaly Detection and Correlation library

Time-Series Anomaly Detection Service at Microsoft

TS2Vec: Towards Universal Representation of Time Series

A Combined Deep Learning GRU-Autoencoder for the Early Detection of Respiratory Disease in Pigs Using Multiple Environmental Sensors

A linear time method for the detection of point and collective anomalies

ReRe: A Lightweight Real-Time Ready-to-Go Anomaly Detection Approach for Time Series

Computer Software and Applications Conference

Anomaly Detection for an E-commerce Pricing System

RLAD: Time Series Anomaly Detection through Reinforcement Learning and Active Learning.

Local Evaluation of Time Series Anomaly Detection Algorithms

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

SALAD: Self-Adaptive Lightweight Anomaly Detection for Real-time Recurrent Time Series

Lumos: A Library for Diagnosing Metric Regressions in Web-Scale Applications


Package for Simulation, Tomography and Analysis of Quantum Computers

The ITensor Software Library for Tensor Network Calculations

Provably efficient machine learning for quantum many-body problems

Classical variational simulation of the Quantum Approximate Optimization Algorithm

Quantum HyperNetworks: Training Binary Neural Networks in Quantum
  Superposition

QXTools: A Julia framework for distributed quantum circuit simulation

Quantum-Inspired Machine Learning: a Survey


Improving De Novo Molecular Design with Curriculum Learning

Faster and more diverse de novo molecular optimization with double-loop reinforcement learning using augmented SMILES

Generating Potential Protein-Protein Interaction Inhibitor Molecules Based on Physicochemical Properties


Clustering scRNAseq by genotypes

Spatial multiomics map of trophoblast development in early pregnancy

Yolk sac cell atlas reveals multiorgan functions during human early development

Integrated single-cell multiomics uncovers foundational regulatory mechanisms of lens development and pathology

bioRxiv : the preprint server for biology


OpenL3: Open-source deep audio and image embeddings

Full-band General Audio Synthesis with Score-based Diffusion

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

EURASIP Journal on Audio, Speech, and Music Processing

Cross-Modal Music-Video Recommendation: A Study of Design Choices

Exploring modality-agnostic representations for music classification

Audio Embeddings as Teachers for Music Classification


Python workflow for DP5 and DP4 analysis of organic molecules

NWChem: Past, Present, and Future

DP4-AI Automated NMR Data Analysis: Straight from Spectrometer to Structure

The DP5 probability, quantification and visualisation of structural uncertainty in single molecules


Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Rethinking Atrous Convolution for Semantic Image Segmentation

Medical Image Segmentation Using Squeeze-and-Expansion Transformers

ReCo: Retrieve and Co-segment for Zero-shot Transfer

GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization

LIF-Seg: LiDAR and Camera Image Fusion for 3D LiDAR Semantic Segmentation

Accurate Fruit Localisation for Robotic Harvesting using High Resolution
  LiDAR-Camera Fusion

Harmonic Convolutional Networks based on Discrete Cosine Transform

DCSegNet: Deep Learning Framework Based on Divide-and-Conquer Method for Liver Segmentation

SAMScore: A Semantic Structural Similarity Metric for Image Translation
  Evaluation


Visualise Clusterings at Different Resolutions

Clustering trees: a visualization for evaluating clusterings at multiple resolutions

Brainstem ADCYAP1+ neurons control multiple aspects of sickness behaviour

Commensal microbiota divergently affect myeloid subsets in the mammalian central nervous system during homeostasis and disease

Trimodal single-cell profiling reveals a novel pediatric CD8αα+ T cell subset and broad age-related molecular reprogramming across the T cell compartment


Set of robotic environments based on PyBullet physics engine and gymnasium.

panda-gym: Open-source goal-conditioned environments for robotic learning

Towards Hierarchical Task Decomposition using Deep Reinforcement Learning for Pick and Place Subtasks

Multi-Goal Reinforcement Learning environments for simulated Franka Emika Panda robot


A 10000+ hours dataset for Chinese speech recognition

WenetSpeech: A 10000+ Hours Multi-domain Mandarin Corpus for Speech
  Recognition

Automatic Prosody Annotation with Pre-Trained Text-Speech Model


Procgen Benchmark: Procedurally-Generated Game-Like Gym-Environments

Leveraging Procedural Generation to Benchmark Reinforcement Learning

Measuring Sample Efficiency and Generalization in Reinforcement Learning Benchmarks: NeurIPS 2020 Procgen Benchmark

DNA: Proximal Policy Optimization with a Dual Network Architecture

Automatic Intrinsic Reward Shaping for Exploration in Deep Reinforcement
  Learning


SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

SemanticKITTI: A Dataset for Semantic Scene Understanding of LiDAR Sequences

Weakly Supervised Learning of Rigid 3D Scene Flow

Rethinking Range View Representation for LiDAR Segmentation

LaserMix for Semi-Supervised LiDAR Semantic Segmentation

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

LiDAR-Based Real-Time Panoptic Segmentation via Spatiotemporal Sequential Data Fusion

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

Annotator: A Generic Active Learning Baseline for LiDAR Semantic
  Segmentation


:warning: The Truffle Suite is being sunset. For information on ongoing support, migration options and FAQs, visit the Consensys blog. Thank you for all the support over the years.

Blockchain smart contracts: Applications, challenges, and future trends

Peer-to-peer networking and applications

A Blockchain Platform for User Data Sharing Ensuring User Control and Incentives

Smart Contract Vulnerabilities: Does Anyone Care?

Blockchain as a Service: A Decentralized and Secure Computing Paradigm

IEEE transactions on emerging topics in computing

Privacy-Preserving IoT Data Aggregation Based on Blockchain and Homomorphic Encryption

CioSy: A Collaborative Blockchain-Based Insurance System

Verifiable Smart Contract Portability

Enforceable Data Sharing Agreements Using Smart Contracts.

Towards Practical Applications in Modeling Blockchain System

A Modified Hybrid Blockchain Framework for Secured Data Transaction


Implementation and experiments  of graph embedding algorithms.

node2vec: Scalable Feature Learning for Networks

DeepWalk: Online Learning of Social Representations

PROCEEDINGS OF THE 20TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD'14)

LINE: Large-scale Information Network Embedding

Structural Deep Network Embedding

struc2vec: Learning Node Representations from Structural Identity

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

Network representation learning systematic review: ancestors and current development state

Unsupervised Network Embedding Beyond Homophily

QUINT: Node embedding using network hashing

IEEE transactions on knowledge and data engineering

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


AgroMo is an Integrated Assessment and Modelling software that integrates 4M a CERES based crop model, the Biome-BGCMuSo biogeochemical and a simple agro-economical model in order to support decision makers at multiple scales.


3D/4D volumetric rendering of microscopy data

Rapid reconstruction of neural circuits using tissue expansion and light sheet microscopy

Nested neural circuits generate distinct acoustic signals during Drosophila courtship

New genetic tools for mushroom body output neurons in Drosophila

A modular circuit architecture coordinates the diversification of courtship strategies in Drosophila.


semantic segmentation for magnetic resonance imaging

Deep Residual Learning for Image Recognition

U-Net: Convolutional Networks for Biomedical Image Segmentation

Densely Connected Convolutional Networks

Deep Convolutional Neural Networks with Merge-and-Run Mappings


High Quality Monocular Depth Estimation via Transfer Learning

Task-Aware Monocular Depth Estimation for 3D Object Detection

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

Natural Posterior Network: Deep Bayesian Uncertainty for Exponential
  Family Distributions

Densely Deformable Efficient Salient Object Detection Network

Potential Obstacle Detection Using RGB to Depth Image Encoder–Decoder Network: Application to Unmanned Aerial Vehicles


Creative Commons Attribution 4.0 International

CIDO: Coronavirus Infectious Disease Ontology

COVID-19 Coronavirus Vaccine Design Using Reverse Vaccinology and Machine Learning

CIDO, a community-based ontology for coronavirus disease knowledge and data integration, sharing, and analysis

Ontological and Bioinformatic Analysis of Anti-Coronavirus Drugs and Their Implication for Drug Repurposing against COVID-19

A community effort for COVID-19 Ontology Harmonization.

Ontology-based systematic classification and analysis of coronaviruses, hosts, and host-coronavirus interactions towards deep understanding of COVID-19

Visual comprehension and orientation into the COVID-19 CIDO ontology

COVID-19 recommender system based on an annotated multilingual corpus

Genomics & informatics/Genomics & Informatics

Distinct RT-PCR diagnosis profiles of father and son patients of COVID-19 using nasopharyngeal and alveolar lavage fluid samples


For developing and reproducing ML + HEP projects.

Particle Cloud Generation with Message Passing Generative Adversarial Networks

Evaluating generative models in high energy physics

JetFlow: Generating Jets with Conditioned and Mass Constrained
  Normalising Flows

Point Cloud Generation using Transformer Encoders and Normalising Flows


Data-driven COVID-19 forecasts and detection of unreported cases

COVID-19 economic impacts in perspective: A comparison to recent U.S. disasters

Fast and Accurate Forecasting of COVID-19 Deaths Using the SIkJα Model

Learning to Forecast and Forecasting to Learn from the COVID-19 Pandemic

Data-driven Identification of Number of Unreported Cases for COVID-19: Bounds and Limitations

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

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

Evaluation of FluSight influenza forecasting in the 2021–22 and 2022–23 seasons with a new target laboratory-confirmed influenza hospitalizations

medRxiv : the preprint server for health sciences


Challenge details, inputs, and (eventually) results for the SAMPL8 series of challenges

SAMPL9 blind predictions using nonequilibrium alchemical approaches

Zenodo (CERN European Organization for Nuclear Research)

Relative Binding Free Energy Calculations for Ligands with Diverse Scaffolds with the Alchemical Transfer Method

Accurate Receptor-Ligand Binding Free Energies from Fast QM Conformational Chemical Space Sampling

International journal of molecular sciences

Application of the alchemical transfer and potential of mean force methods to the SAMPL8 host-guest blinded challenge


PySM: Software for simulating the Galactic microwave sky

CMB-S4 Science Case, Reference Design, and Project Plan

The Python Sky Model: software for simulating the Galactic microwave sky

Monthly Notices of the Royal Astronomical Society

CMB-S4: Forecasting Constraints on Primordial Gravitational Waves

The large scale polarization explorer (LSPE) for CMB measurements: performance forecast

Journal of Cosmology and Astroparticle Physics

A Projected Estimate of the Reionization Optical Depth Using the CLASS Experiment’s Sample Variance Limited E-mode Measurement

Internal Delensing of Cosmic Microwave Background Polarization B-Modes with the POLARBEAR Experiment.

Impact of polarized galactic foreground emission on CMB lensing reconstruction and delensing of B-modes

Foreground model recognition through Neural Networks for CMB B-mode observations

Journal of cosmology and astroparticle physics

Requirements for future CMB satellite missions: photometric and band-pass response calibration

Removal of Galactic foregrounds for the Simons Observatory primordial gravitational wave search


Implementations of Reinforcement Learning and Planning algorithms

B-GAP: Behavior-Rich Simulation and Navigation for Autonomous Driving

Budgeted Reinforcement Learning in Continuous State Space

Building Safer Autonomous Agents by Leveraging Risky Driving Behavior Knowledge

International Conference on Communications, Computing, Cybersecurity, and Informatics

Decision Making for Autonomous Driving in Interactive Merge Scenarios
  via Learning-based Prediction

Explaining Reinforcement Learning Agents Through Counterfactual Action
  Outcomes


An R interface to cyclestreets.net APIs


Open Academic Research on Improving LLaMA to SOTA LLM

LLaMA: Open and Efficient Foundation Language Models

Augmented Large Language Models with Parametric Knowledge Guiding


EnergyPATHWAYS model is a professional, open-source energy and carbon planning tool for use in evaluating long-term, economy-wide greenhouse gas mitigation scenarios.


MELT - Matching EvaLuation Toolkit

MELT - Matching EvaLuation Toolkit

Visual Analysis of Ontology Matching Results with the MELT Dashboard

Supervised Ontology and Instance Matching with MELT

Matching with Transformers in MELT

Background Knowledge in Schema Matching: Strategy vs. Data

Order Matters: Matching Multiple Knowledge Graphs

PROCEEDINGS OF THE 11TH KNOWLEDGE CAPTURE CONFERENCE (K-CAP '21)

FinMatcher at FinSim-2: Hypernym Detection in the Financial Services Domain using Knowledge Graphs

OLaLa: Ontology Matching with Large Language Models

Proceedings of the 12th Knowledge Capture Conference 2023

KERMIT - A Transformer-Based Approach for Knowledge Graph Matching


H2Lib public repository

hm-toolbox: Matlab software for HODLR and HSS matrices

Fast Approximate Computations with Cauchy Matrices and Polynomials

Modeling of spatial uncertainties in the magnetic reluctivity

Boundary element methods for the wave equation based on hierarchical matrices and adaptive cross approximation

CUR Low Rank Approximation at Deterministic Sublinear Cost


NIF Standard Ontologies (NIFSTD)

Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging

The SPARC DRC: Building a Resource for the Autonomic Nervous System Community

AtOM, an ontology model for standardizing use of brain atlases in tools, workflows, and data infrastructures

Building Domain-Specific Machine Learning Workflows: A Conceptual Framework for the State-of-the-Practice

Extending and using anatomical vocabularies in the stimulating peripheral activity to relieve conditions project


Baseline Recipe for VoicePrivacy Challenge 2022: anonymization systems and evaluation software

The VoicePrivacy 2020 Challenge Evaluation Plan

Speech Pseudonymisation Assessment Using Voice Similarity Matrices

VoicePrivacy 2022 System Description: Speaker Anonymization with
  Feature-matched F0 Trajectories

Distinguishable Speaker Anonymization based on Formant and Fundamental
  Frequency Scaling


Public repository for the Monte Python Code

Strongest model-independent bound on the lifetime of Dark Matter

Cosmological viable models in f(T,B) gravity as solutions to the H_0
  tension

A deep learning approach to cosmological dark energy models

Cosmological constraints on induced gravity dark energy models

Quantifying Suspiciousness within correlated data sets

Inverse Cosmography: testing the effectiveness of cosmographic polynomials using machine learning

Can decaying dark matter scenarios alleviate both H0 and σ8 tensions?

Monthly notices of the Royal Astronomical Society

Kinetically Coupled Scalar Fields Model and Cosmological Tensions

Particle production during inflation: a Bayesian analysis with CMB data from Planck 2018

Dark Matter Cosmology with Varying Viscosity: a Possible Resolution to
  the S_8 Tension


An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.

CybORG: A Gym for the Development of Autonomous Cyber Agents

Autonomous Penetration Testing Based on Improved Deep Q-Network

DroidRL: Feature selection for android malware detection with reinforcement learning

Incorporating Deception into CyberBattleSim for Autonomous Defense

Can Large Language Models Find And Fix Vulnerable Software?

Research and Challenges of Reinforcement Learning in Cyber Defense Decision-Making for Intranet Security

Inroads into Autonomous Network Defence using Explained Reinforcement
  Learning

NASimEmu: Network Attack Simulator & Emulator for Training Agents
  Generalizing to Novel Scenarios

Adversarial Decision-Making for Moving Target Defense: A Multi-Agent Markov Game and Reinforcement Learning Approach


A C++ implementation of Jump Point Search on both 2D and 3D maps

MACE: Multi-Agent Autonomous Collaborative Exploration of Unknown
  Environments

Multirotor Planning in Dynamic Environments using Temporal Safe
  Corridors


Deep Learning Collective Variables from Transition Path Ensemble

A unified framework for machine learning collective variables for
  enhanced sampling simulations:


A great intro dataset for data exploration & visualization (alternative to iris).

Ecological Sexual Dimorphism and Environmental Variability within a Community of Antarctic Penguins (Genus Pygoscelis)

allisonhorst/palmerpenguins: v0.1.0

Feature Selection Tutorial with Python Examples


A pytorch-based deep learning framework for multi-modal 2D/3D medical image segmentation

V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

3D U-Net: Learning Dense Volumetric Segmentation from Sparse Annotation

Вестник компьютерных и информационных технологий

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

3D MRI brain tumor segmentation using autoencoder regularization

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

NiftyNet: a deep-learning platform for medical imaging

Computer methods and programs in biomedicine

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

On the Compactness, Efficiency, and Representation of 3D Convolutional Networks: Brain Parcellation as a Pretext Task

Med3D: Transfer Learning for 3D Medical Image Analysis

Automatic 3D Cardiovascular MR Segmentation with Densely-Connected Volumetric ConvNets


An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.

Automated Machine Learning: State-of-The-Art and Open Challenges

OBOE: Collaborative Filtering for AutoML Model Selection

Testing the Suitability of Automated Machine Learning for Weeds Identification

Efficient AutoML Pipeline Search with Matrix and Tensor Factorization

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


Density Estimation Likelihood-Free Inference with neural density estimators and adaptive acquisition of simulations

Sequential Neural Likelihood: Fast Likelihood-free Inference with Autoregressive Flows

Fast likelihood-free cosmology with neural density estimators and active learning

SBI -- A toolkit for simulation-based inference

Benchmarking Simulation-Based Inference

Likelihood-free inference with emulator networks

Nuisance hardened data compression for fast likelihood-free inference

Cosmic shear: Inference from forward models

Solving high-dimensional parameter inference: marginal posterior densities & Moment Networks

Simulation-based Inference of Reionization Parameters from 3D Tomographic 21 cm Light-cone Images

Sum of the masses of the Milky Way and M31: A likelihood-free inference approach


An Open-source Toolkit for Deep Learning based Recommendation with Tensorflow.

Symmetric Metric Learning with Adaptive Margin for Recommendation

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

DeepRec: An Open-source Toolkit for Deep Learning based Recommendation

Shilling Black-Box Recommender Systems by Learning to Generate Fake User Profiles

IEEE transactions on neural networks and learning systems

Multi-Facet Recommender Networks with Spherical Optimization


Transit and Radial velocity Interactive Fitting tool for Orbital analysis and N-body simulations: The Exo-Striker

A nearby transiting rocky exoplanet that is suitable for atmospheric investigation

TESS exoplanet candidates validated with HARPS archival data. A massive Neptune around GJ143 and two Neptunes around HD23472

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

TOI-1201 b: A mini-Neptune transiting a bright and moderately young M dwarf

Two Jovian Planets around the Giant Star HD 202696: A Growing Population of Packed Massive Planetary Pairs around Massive Stars?

A detailed analysis of the Gl 486 planetary system

A Pair of Warm Giant Planets near the 2:1 Mean Motion Resonance around the K-dwarf Star TOI-2202*

Four Jovian planets around low-luminosity giant stars observed by the EXPRESS and PPPS

The CARMENES search for exoplanets around M dwarfs

TOI-2525 b and c: A pair of massive warm giant planets with a strong
  transit timing variations revealed by TESS


Model summary in PyTorch similar to `model.summary()` in Keras

DiCyc: GAN-based deformation invariant cross-domain information fusion for medical image synthesis

Srifty: Swift and Thrifty Distributed Training on the Cloud

User-Intended Doppler Measurement Type Prediction Combining CNNs With Smart Post-Processing

Memory-adaptive Depth-wise Heterogenous Federated Learning

FMD-cGAN: Fast Motion Deblurring using Conditional Generative Adversarial Networks


Generate bootstrapped confidence intervals for A/B testing in Python.

Deep Reinforcement Learning that Matters

GEP-PG: Decoupling Exploration and Exploitation in Deep Reinforcement Learning Algorithms

How Many Random Seeds? Statistical Power Analysis in Deep Reinforcement Learning Experiments

A Hitchhiker's Guide to Statistical Comparisons of Reinforcement Learning Algorithms

Constrained Bayesian Optimization with Max-Value Entropy Search

MULTIPOLAR: Multi-Source Policy Aggregation for Transfer Reinforcement Learning between Diverse Environmental Dynamics

PROCEEDINGS OF THE TWENTY-NINTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

Predicting acute kidney injury at hospital re-entry using high-dimensional electronic health record data


Graphormer is a general-purpose deep learning backbone for molecular modeling.

Do Transformers Really Perform Bad for Graph Representation?

Meta-Transformer: A Unified Framework for Multimodal Learning

Benchmarking Graphormer on Large-Scale Molecular Modeling Datasets

First Place Solution of KDD Cup 2021 & OGB Large-Scale Challenge Graph Prediction Track.

Stepping Back to SMILES Transformers for Fast Molecular Representation
  Inference

G-Adapter: Towards Structure-Aware Parameter-Efficient Transfer Learning
  for Graph Transformer Networks

Substructure-Atom Cross Attention for Molecular Representation Learning

Graph Convolutions Enrich the Self-Attention in Transformers!

RetroRanker: leveraging reaction changes to improve retrosynthesis prediction through re-ranking

Lo-Hi: Practical ML Drug Discovery Benchmark


Synthesizing and manipulating 2048x1024 images with conditional GANs

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

StyleGAN2 Distillation for Feed-forward Image Manipulation

Quantitative Projection Coverage for Testing ML-enabled Autonomous Systems

MetaPix: Few-Shot Video Retargeting

PTNet: A High-Resolution Infant MRI Synthesizer Based on Transformer

Physics-informed GANs for Coastal Flood Visualization

Conditional generative adversarial networks for data augmentation and adaptation in remotely sensed imagery

Physically-Consistent Generative Adversarial Networks for Coastal Flood
  Visualization

Bridging the Gap Between Paired and Unpaired Medical Image Translation

Boosting EfficientNets Ensemble Performance via Pseudo-Labels and Synthetic Images by pix2pixHD for Infection and Ischaemia Classification in Diabetic Foot Ulcers


Batch balanced KNN

BBKNN: fast batch alignment of single cell transcriptomes

Mapping systemic lupus erythematosus heterogeneity at the single-cell level

Fast Batch Alignment of Single Cell Transcriptomes Unifies Multiple Mouse Cell Atlases into an Integrated Landscape

Computational methods for the integrative analysis of single-cell data

A novel approach to remove the batch effect of single-cell data

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

IMGG: Integrating Multiple Single-Cell Datasets through Connected Graphs and Generative Adversarial Networks


Framework for predicting neural activity from mouse orofacial movements tracked using a pose estimation model. Package also includes singular value decomposition (SVD) of behavioral videos.

A transcriptomic axis predicts state modulation of cortical interneurons

Orbitofrontal control of visual cortex gain promotes visual associative learning

Behavioral origin of sound-evoked activity in mouse visual cortex

Dopamine Axons in Dorsal Striatum Encode Contralateral Visual Stimuli and Choices

The journal of neuroscience/The Journal of neuroscience

Facemap: a framework for modeling neural activity based on orofacial tracking

Regulation of Anthropogenic Load of the Habitat

Мировая экономика и международные отношения

Cholinergic and noradrenergic axonal activity contains a behavioral-state signal that is coordinated across the dorsal cortex

Altered corollary discharge signaling in the auditory cortex of a mouse model of schizophrenia predisposition


pymgrid is a python library to generate and simulate a large number of microgrids.

pymgrid: An Open-Source Python Microgrid Simulator for Applied Artificial Intelligence Research


Reference implementation of code generation projects from Facebook AI Research. General toolkit to apply machine learning to code, from dataset creation to model training and evaluation. Comes with pretrained models.

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

DOBF: A Deobfuscation Pre-Training Objective for Programming Languages

Leveraging Automated Unit Tests for Unsupervised Code Translation

Code Translation with Compiler Representations

Summarize and Generate to Back-translate: Unsupervised Translation of Programming Languages

Quantifying OpenMP: Statistical Insights into Usage and Adoption

User-Customizable Transpilation of Scripting Languages

On the Evaluation of Neural Code Translation: Taxonomy and Benchmark

Pathways to Leverage Transcompiler based Data Augmentation for Cross-Language Clone Detection


Lectures for INFO8010 Deep Learning, ULiège

Deep Residual Learning for Image Recognition

Attention Is All You Need

YOLO9000: Better, Faster, Stronger

Denoising Diffusion Probabilistic Models

High-Resolution Image Synthesis with Latent Diffusion Models

Understanding deep learning requires rethinking generalization

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Do Deep Generative Models Know What They Don't Know?

Discovering Symbolic Models from Deep Learning with Inductive Biases

Scaling description of generalization with number of parameters in deep learning


Pretrained BERT model for analysing COVID-19 Twitter data

COVID-Twitter-BERT: A Natural Language Processing Model to Analyse
  COVID-19 Content on Twitter

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

Addressing machine learning concept drift reveals declining vaccine sentiment during the COVID-19 pandemic

Adaptation of domain-specific transformer models with text oversampling
  for sentiment analysis of social media posts on Covid-19 vaccines


Workshop on measuring, analyzing, and visualizing the 3D genome with Hi-C data.

Iterative correction of Hi-C data reveals hallmarks of chromosome organization

HiGlass: web-based visual exploration and analysis of genome interaction maps

The Hitchhiker’s guide to Hi-C analysis: Practical guidelines

Hi-C 2.0: An optimized Hi-C procedure for high-resolution genome-wide mapping of chromosome conformation

HiPiler: Visual Exploration of Large Genome Interaction Matrices with Interactive Small Multiples

Iteratively improving Hi-C experiments one step at a time

Three invariant Hi-C interaction patterns: applications to genome assembly


Python library for bio-inspired computational intelligence

Pymoo: Multi-Objective Optimization in Python

jMetalPy: a Python Framework for Multi-Objective Optimization with Metaheuristics

PyBioNetFit and the Biological Property Specification Language

Hippocampal sharp wave-ripples and the associated sequence replay emerge from structured synaptic interactions in a network model of area CA3

Developing Realistic FDTD GPR Antenna Surrogates by Means of Particle Swarm Optimization

IEEE transactions on antennas and propagation

Opytimizer: A Nature-Inspired Python Optimizer

Augmenting the space domain awareness ground architecture via decision analysis and multi-objective optimization

Journal of defense analytics and logistics


Wake word detection modeling toolkit for Firefox Voice, supporting open datasets like Speech Commands and Common Voice.

Howl: A Deployed, Open-Source Wake Word Detection System

PEAF: Learnable Power Efficient Analog Acoustic Features for Audio Recognition


De novo genome assembler for long uncorrected reads

Raven: a de novo genome assembler for long reads

MicroPIPE: validating an end-to-end workflow for high-quality complete bacterial genome construction

Optimising genomic approaches for identifying vancomycin-resistant Enterococcus faecium transmission in healthcare settings

De novosequencing, diploid assembly, and annotation of the black carpenter ant,Camponotus pennsylvanicus, and its symbionts by one person for $1000, using nanopore sequencing

Natural Horizontal Gene Transfer of Antimicrobial Resistance Genes in Campylobacter spp. From Turkeys and Swine

Highly conserved composite transposon harbouring aerobactin iuc3 in Klebsiella pneumoniae from pigs

A step forward for Shiga toxin-producing Escherichia coli identification and characterization in raw milk using long-read metagenomics

Complete Genome Sequence of Staphylococcus aureus PS/BAC/169/17/W, Isolated from a Contaminated Platelet Concentrate in England

MicroPIPE: An end-to-end solution for high-quality complete bacterial genome construction

The Genetic Characteristics and Carbapenem Resistance Mechanism of ST307 Klebsiella pneumoniae Coharbouring blaCMY-6, blaOXA-48, and a Truncated blaNDM-1


Different implementations of "Weighted Prediction Error" for speech dereverberation

An Investigation into the Effectiveness of Enhancement in ASR Training and Test for CHiME-5 Dinner Party Transcription

End-to-End Far-Field Speech Recognition with Unified Dereverberation and Beamforming

STC Speaker Recognition Systems for the VOiCES From a Distance Challenge

Unsupervised training of neural mask-based beamforming

Speech Enhancement with Wide Residual Networks in Reverberant
  Environments


This repo contains a list of the 10,000 most common English words in order of frequency, as determined by n-gram frequency analysis of the Google's Trillion Word Corpus.

Cross-Lingual Sentiment Analysis Without (Good) Translation

Improving Grammatical Error Correction with Data Augmentation by Editing Latent Representation

International Conference on Computational Linguistics

CLIP-Dissect: Automatic Description of Neuron Representations in Deep
  Vision Networks

Strong Baselines for Complex Word Identification across Multiple Languages

Language Identification of Bengali-English Code-Mixed data using Character & Phonetic based LSTM Models

FlowIntent: Detecting Privacy Leakage from User Intention to Network Traffic Mapping

ModelDiff: A Framework for Comparing Learning Algorithms

FilteredWeb: A Framework for the Automated Search-Based Discovery of Blocked URLs

Understanding Script-Mixing: A Case Study of Hindi-English Bilingual Twitter Users

Workshop on Computational Approaches to Code Switching

Skills-in-Context Prompting: Unlocking Compositionality in Large
  Language Models


Unofficial pytorch implementation for Self-critical Sequence Training for Image Captioning. and others.

Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering

How Much Can CLIP Benefit Vision-and-Language Tasks?

On Hallucination and Predictive Uncertainty in Conditional Language Generation

Adversarial Inference for Multi-Sentence Video Description

Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables

Mitigating Gender Bias in Captioning Systems

Bayesian Attention Modules

A Better Variant of Self-Critical Sequence Training

UMIC: An Unreferenced Metric for Image Captioning via Contrastive Learning


Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework for classification of high resolution whole-slide images, often microscopy or histopathology images.

Attention-Based Deep Neural Networks for Detection of Cancerous and Precancerous Esophagus Tissue on Histopathological Slides

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

Computational Pathology: A Survey Review and The Way Forward

Deep neural networks for automated classification of colorectal polyps on histopathology slides: A multi-institutional evaluation


PTPd official source - master branch a.k.a. trunk

A Security Analysis and Revised Security Extension for the Precision Time Protocol

Integrity Verification of Distributed Nodes in Critical Infrastructures

Trusted GNSS-Based Time Synchronization for Industry 4.0 Applications


[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

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

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising


Read coverage calculator for metagenomics

SARS-CoV-2 RNA monitoring in wastewater as a potential early warning system for COVID-19 transmission in the community: A temporal case study

Detection of SARS-CoV-2 RNA in commercial passenger aircraft and cruise ship wastewater: a surveillance tool for assessing the presence of COVID-19 infected travellers

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

Deep sea sediments associated with cold seeps are a subsurface reservoir of viral diversity

A catalogue of 1,167 genomes from the human gut archaeome

Thermogenic hydrocarbon biodegradation by diverse depth-stratified microbial populations at a Scotian Basin cold seep

METABOLIC: High-throughput Profiling of Microbial Genomes for Functional Traits, Biogeochemistry, and Community-scale Metabolic Networks

Wildfire-dependent changes in soil microbiome diversity and function

Probiotics synergized with conventional regimen in managing Parkinson’s disease

Comparative genome-centric analysis reveals seasonal variation in the function of coral reef microbiomes


Yosys Open SYnthesis Suite

Synthesizing Functional Reactive Programs

Efficient Edge-AI Application Deployment for FPGAs

MAFIA: Protecting the Microarchitecture of Embedded Systems Against Fault Injection Attacks

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

High-level Synthesis using the Julia Language

Countering the Path Explosion Problem in the Symbolic Execution of
  Hardware Designs


Monocular, One-stage, Regression of Multiple 3D People and their 3D positions & trajectories in camera & global coordinates. ROMP[ICCV21], BEV[CVPR22], TRACE[CVPR2023]

Recent Advances of Monocular 2D and 3D Human Pose Estimation: A Deep Learning Perspective

Putting People in their Place: Monocular Regression of 3D People in Depth

TRACE: 5D Temporal Regression of Avatars with Dynamic Cameras in 3D Environments

CenterHMR: a Bottom-up Single-shot Method for Multi-person 3D Mesh Recovery from a Single Image.

A Survey of Advanced Computer Vision Techniques for Sports


XLNet: Generalized Autoregressive Pretraining for Language Understanding

Pre-trained models for natural language processing: A survey

Green AI

ProtTrans: Towards Cracking the Language of Life's Code Through
  Self-Supervised Deep Learning and High Performance Computing

Revisiting Few-sample BERT Fine-tuning

A Survey on Text Classification: From Shallow to Deep Learning

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

Fake news detection based on news content and social contexts: a transformer-based approach

International journal of data science and analytics

Towards Generalizable Neuro-Symbolic Systems for Commonsense Question Answering

Improving Constituency Parsing with Span Attention


Platform for direct visualization, analysis and reporting of soil organic carbon predictions and changes over time.


Goodman Data Reduction Pipeline

Pulsating hydrogen-deficient white dwarfs and pre-white dwarfs observed with TESS

The Diverse Properties of Type Icn Supernovae Point to Multiple Progenitor Channels

Discovery of 74 new bright ZZ Ceti stars in the first three years of TESS

Confirming new changing-look AGNs discovered through optical variability using a random forest-based light-curve classifier

Monthly Notices of the Royal Astronomical Society: Letters

Activity and Rotation of Nearby Field M Dwarfs in the TESS Southern Continuous Viewing Zone

Pulsating hydrogen-deficient white dwarfs and pre-white dwarfs observed withTESS– IV. Discovery of two new GW Vir stars: TIC 0403800675 and TIC 1989122424

The bright blue side of the night sky: Spectroscopic survey of bright and hot (pre-) white dwarfs


Code depository for papers

Integrated Analyses of Microbiome and Longitudinal Metabolome Data Reveal Microbial-Host Interactions on Sulfur Metabolism in Parkinson's Disease

From metagenomic data to personalized in silico microbiotas: predicting dietary supplements for Crohn’s disease

Genome-scale metabolic reconstruction of 7,302 human microorganisms for personalized medicine


SNOwGLoBES code:  SuperNova Observatories with GLoBES

SNEWS 2.0: a next-generation supernova early warning system for multi-messenger astronomy

Constraining Properties of the Next Nearby Core-collapse Supernova with Multimessenger Signals

SNEWPY: A Data Pipeline from Supernova Simulations to Neutrino Signals

Neutrinos from dense: flavor mechanisms, theoretical approaches,
  observations, new directions

A D2O detector for flux normalization of a pion decay-at-rest neutrino source

sntools: An event generator for supernova burst neutrinos

Probing neutrino decay scenarios by using the Earth matter effects on supernova neutrinos

Low- and High-energy Neutrinos from SN 2023ixf in M101

Neutrino Echos following Black Hole Formation in Core-collapse Supernovae

Neutrino nonradiative decay and the diffuse supernova neutrino background


Open Plant Pathology website


Text-prompted Generative Audio Model - With the ability to clone voices

AudioLM: A Language Modeling Approach to Audio Generation

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


Export Emissions to Atmospheric Models


VirtualFCS is a Modelica library for hybrid hydrogen fuel cell and battery power systems.


Data Consistency Toolbox for Magnetic Resonance Imaging

U-Net: Convolutional Networks for Biomedical Image Segmentation

fastMRI: An Open Dataset and Benchmarks for Accelerated MRI

End-to-End Variational Networks for Accelerated MRI Reconstruction

Recurrent inference machines for reconstructing heterogeneous MRI data

Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction

XPDNet for MRI Reconstruction: an application to the 2020 fastMRI challenge

A unified model for reconstruction and R 2 * mapping of accelerated 7T data using the quantitative recurrent inference machine

Assessment of data consistency through cascades of independently recurrent inference machines for fast and robust accelerated MRI reconstruction


Fast hyperparameter settings for non-smooth estimators:

Implicit differentiation of Lasso-type models for hyperparameter optimization

Implicit differentiation for fast hyperparameter selection in non-smooth convex learning

Value Function Based Difference-of-Convex Algorithm for Bilevel
  Hyperparameter Selection Problems


Awesome graph anomaly detection techniques built based on deep learning frameworks. Collections of commonly used datasets, papers as well as implementations are listed in this github repository. We also invite researchers interested in anomaly detection, graph representation learning, and graph anomaly detection to join this project as contributors and boost further research in this area.

Graph-based Anomaly Detection and Description: A Survey

Deep Learning for Anomaly Detection: A Review

A Comprehensive Survey on Graph Anomaly Detection with Deep Learning

Graph-Based Fraud Detection in the Face of Camouflage

Community Discovery in Dynamic Networks: A Survey

Deep Anomaly Detection on Attributed Networks

Society for Industrial and Applied Mathematics eBooks

NetWalk: A Flexible Deep Embedding Approach for Anomaly Detection in Dynamic Networks

Anomaly detection in dynamic networks: a survey

Wiley interdisciplinary reviews. Computational statistics

Enhancing Graph Neural Network-based Fraud Detectors against Camouflaged Fraudsters

International Conference on Information and Knowledge Management

A comprehensive survey of anomaly detection techniques for high dimensional big data


BNB Smart Chain

Exploring Unfairness on Proof of Authority: Order Manipulation Attacks
  and Remedies

A Survey of DeFi Security: Challenges and Opportunities

FlashSyn: Flash Loan Attack Synthesis via Counter Example Driven
  Approximation

Delivery Management System based on Blockchain, Smart Contracts and NFT: A Case Study in Vietnam

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


Python software used in the International Land Model Benchmarking (ILAMB) project

Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data‐model integration

Modeling Global Carbon Costs of Plant Nitrogen and Phosphorus Acquisition

Journal of advances in modeling earth systems

Description and evaluation of the JULES-ES set-up for ISIMIP2b

Supporting hierarchical soil biogeochemical modeling: version 2 of the Biogeochemical Transport and Reaction model (BeTR-v2)


Tools to analyze and manipulate climate (spatiotemporal) data. Also used by ClimateTools and ClimatePlots


Machine Learning Interatomic Potentials with the Atomic Cluster Expansion

ACEpotentials.jl: A Julia Implementation of the Atomic Cluster Expansion

A Theoretical Case Study of the Generalisation of Machine-learned
  Potentials


Tacotron 2 - PyTorch implementation with faster-than-realtime inference

Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

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

Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

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

A Survey on Neural Speech Synthesis

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

SpeedySpeech: Efficient Neural Speech Synthesis

EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture

Towards Transfer Learning for End-to-End Speech Synthesis from Deep Pre-Trained Language Models.

The Lacunae of Danish Natural Language Processing

Nordic Conference of Computational Linguistics


Task-based gene regulatory network inference using single-cell or bulk gene expression data conditioned on a prior network.

Gene regulatory network reconstruction using single-cell RNA sequencing of barcoded genotypes in diverse environments

Multi-study inference of regulatory networks for more accurate models of gene regulation

High-performance single-cell gene regulatory network inference at scale: the Inferelator 3.0

Condition-Specific Modeling of Biophysical Parameters Advances Inference of Regulatory Networks

NetProphet 3: A Machine-learning framework for transcription factor network mapping and multi-omics integration

Zenodo (CERN European Organization for Nuclear Research)

Inferelator Example Data and Scripts


Software to Manipulate Different Flavors of Semantic Graphs

MRP 2019: Cross-Framework Meaning Representation Parsing

Proceedings of the Shared Task on Cross-Framework Meaning Representation Parsing at the 2019 Conference on Natural Language Learning

MRP 2020: The Second Shared Task on Cross-Framework and Cross-Lingual Meaning Representation Parsing

Proceedings of the CoNLL 2020 Shared Task: Cross-Framework Meaning Representation Parsing

SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual Translation

North American Chapter of the Association for Computational Linguistics

SJTU-NICT at MRP 2019: Multi-Task Learning for End-to-End Uniform Semantic Graph Parsing

Peking at MRP 2019: Factorization- and Composition-Based Parsing for Elementary Dependency Structures

DRS at MRP 2020: Dressing up Discourse Representation Structures as Graphs

Project-then-Transfer: Effective Two-stage Cross-lingual Transfer for Semantic Dependency Parsing

Conference of the European Chapter of the Association for Computational Linguistics

Speeding up quantum circuits simulation using ZX-Calculus

A Tale of Three Parsers: Towards Diagnostic Evaluation for Meaning Representation Parsing

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

Great Service! Fine-grained Parsing of Implicit Arguments


Tensorflow based deep-learning library.

Towards Radiologist-Level Accurate Deep Learning System for Pulmonary Screening

Towards Ophthalmologist Level Accurate Deep Learning System for OCT
  Screening and Diagnosis

Rethinking Convolutional Semantic Segmentation Learning

Deep Learning: Generalization Requires Deep Compositional Feature Space Design.


Pytorch implementation of FlowNet by Dosovitskiy et al.

FlowNet: Learning Optical Flow with Convolutional Networks

Finding Correspondences for Optical Flow and Disparity Estimations using a Sub-pixel Convolution-based Encoder-Decoder Network

The Devil in the Details: Simple and Effective Optical Flow Synthetic
  Data Generation


Detect 6-DOF grasp poses in point clouds

Grasp Pose Detection in Point Clouds

The international journal of robotics research

High precision grasp pose detection in dense clutter

ACRONYM: A Large-Scale Grasp Dataset Based on Simulation

DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-Based Robotic Grasping


Various examples to showcase the functionality of PSL.

IterefinE: Iterative KG Refinement Embeddings using Symbolic Knowledge

DeepPSL: End-to-end perception and reasoning


Workflow for Optimal Radiomics Classification

Radiomics approach to distinguish between well differentiated liposarcomas and lipomas on MRI

A Multi-Center, Multi-Vendor Study to Evaluate the Generalizability of a Radiomics Model for Classifying Prostate cancer: High Grade vs. Low Grade

Differential Diagnosis and Molecular Stratification of Gastrointestinal Stromal Tumors on CT Images Using a Radiomics Approach

Differential diagnosis and mutation stratification of desmoid-type fibromatosis on MRI using radiomics.

The WORC* database: MRI and CT scans, segmentations, and clinical labels for 930 patients from six radiomics studies

Reproducible radiomics through automated machine learning validated on twelve clinical applications

The BRAF P.V600E Mutation Status of Melanoma Lung Metastases Cannot Be Discriminated on Computed Tomography by LIDC Criteria nor Radiomics Using Machine Learning

Optimization of Preoperative Lymph Node Staging in Patients with Muscle-Invasive Bladder Cancer Using Radiomics on Computed Tomography

Quality of Multicenter Studies Using MRI Radiomics for Diagnosing Clinically Significant Prostate Cancer: A Systematic Review


Smatch tool: evaluation of AMR semantic structures

Smatch: an Evaluation Metric for Semantic Feature Structures

Meeting of the Association for Computational Linguistics

Discourse Representation Structure Parsing

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

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

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

Fast semantic parsing with well-typedness guarantees

SGL: Speaking the Graph Languages of Semantic Parsing via Multilingual Translation

AMR Normalization for Fairer Evaluation

One Semantic Parser to Parse Them All: Sequence to Sequence Multi-Task Learning on Semantic Parsing Datasets

Exploring Graph-Algebraic CCG Combinators for Syntactic-Semantic AMR Parsing

Recent Advances in Natural Language Processing

Multilingual Abstract Meaning Representation for Celtic Languages

T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation


Solving LPs with convergent message passing

Deep Graph Matching via Blackbox Differentiation of Combinatorial Solvers

Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths

MAP inference via Block-Coordinate Frank-Wolfe Algorithm

Fusion Moves for Graph Matching

Combinatorial Optimization for Panoptic Segmentation: A Fully Differentiable Approach

A Comparative Study of Graph Matching Algorithms in Computer Vision

Bottleneck potentials in Markov Random Fields


Collection of tools to support submissions to the 3rd VIPriors workshop challenges

VIPriors 3: Visual Inductive Priors for Data-Efficient Deep Learning
  Challenges

VIPriors 2: Visual Inductive Priors for Data-Efficient Deep Learning
  Challenges

EfficientSeg: An Efficient Semantic Segmentation Network


Automated Fiber Quantification

DeepDTI: High-fidelity six-direction diffusion tensor imaging using deep learning

A browser-based tool for visualization and analysis of diffusion MRI data

White matter myelination during early infancy is linked to spatial gradients and myelin content at birth

Applying microstructural models to understand the role of white matter in cognitive development

Post-acute white matter microstructure predicts post-acute and chronic post-concussive symptom severity following mild traumatic brain injury in children

Computational neuroanatomy of human stratum proprium of interparietal sulcus

Longitudinal white matter microstructural changes in pediatric mild traumatic brain injury: An A-CAP study.

Aberrant White Matter Microstructure as a Potential Diagnostic Marker in Alzheimer's Disease by Automated Fiber Quantification

Reduced focal fiber collinearity in the cingulum bundle in adults with obsessive-compulsive disorder

Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology

Neonatal white matter tract microstructure and 2-year language outcomes after preterm birth


:smile_cat: :speech_balloon: A module to compute textual lexical richness (aka lexical diversity).

Task2Dial: A Novel Task and Dataset for Commonsense-enhanced Task-based Dialogue Grounded in Documents

How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation


ICA-AROMA Software Package: a data-driven method to identify and remove head motion-related artefacts from functional MRI data.

College Binge Drinking Associated with Decreased Frontal Activation to Negative Emotional Distractors during Inhibitory Control

Human amygdala functional network development: A cross-sectional study from 3 months to 5 years of age

The Decline in Intrinsic Connectivity Between the Salience Network and Locus Coeruleus in Older Adults: Implications for Distractibility

Pronounced Structural and Functional Damage in Early Adult Pediatric-Onset Multiple Sclerosis with No or Minimal Clinical Disability

Durable memories and efficient neural coding through mnemonic training using the method of loci

Adolescent Hippocampal and Prefrontal Brain Activation During Performance of the Virtual Morris Water Task

Altered Large-Scale Brain Functional Connectivity in Ocular Hypertension

Evaluation of noise regression techniques in resting-state fMRI studies using data of 434 older adults

Model-Based and Model-Free Analyses of the Neural Correlates of Tongue Movements

Evaluating methods for measuring background connectivity in slow event‐related functional magnetic resonance imaging designs


mbedtls-SGX: a SGX-friendly TLS stack (ported from mbedtls)

STACCO: Differentially Analyzing Side-Channel Traces for Detecting SSL/TLS Vulnerabilities in Secure Enclaves

Conference on Computer and Communications Security

Reaching Data Confidentiality and Model Accountability on the CalTrain

Towards Efficiently Establishing Mutual Distrust Between Host Application and Enclave for SGX.

Speedster: A TEE-assisted State Channel System

Distributed systems and trusted execution environments: Trade-offs and challenges

Anais Estendidos do Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC Estendido 2020)


Python PDF Parser (Not actively maintained). Check out pdfminer.six.

PubLayNet: largest dataset ever for document layout analysis

DocBank: A Benchmark Dataset for Document Layout Analysis

Efficient Attentions for Long Document Summarization

Figure and caption extraction from biomedical documents

IcoRating: A Deep-Learning System for Scam ICO Identification

No Data to Crawl? Monolingual Corpus Creation from PDF Files of Truly low-Resource Languages in Peru

VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups

Identification of Scams in Initial Coin Offerings With Machine Learning

What Are the Attackers Doing Now? Automating Cyberthreat Intelligence Extraction from Text on Pace with the Changing Threat Landscape: A Survey

A Dataset of Alt Texts from HCI Publications

Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility


Novelty-inclusive microbial community profiling of shotgun metagenomes

Thermogenic hydrocarbon biodegradation by diverse depth-stratified microbial populations at a Scotian Basin cold seep

Undinarchaeota illuminate DPANN phylogeny and the impact of gene transfer on archaeal evolution

Chemosynthetic and photosynthetic bacteria contribute differentially to primary production across a steep desert aridity gradient

Comparative genome-centric analysis reveals seasonal variation in the function of coral reef microbiomes

Spinal Cord Injury Changes the Structure and Functional Potential of Gut Bacterial and Viral Communities

Termite mounds contain soil-derived methanotroph communities kinetically adapted to elevated methane concentrations

Atmospheric chemosynthesis is phylogenetically and geographically widespread and contributes significantly to carbon fixation throughout cold deserts

Phylogenetically and functionally diverse microorganisms reside under the Ross Ice Shelf

mPies: a novel metaproteomics tool for the creation of relevant protein databases and automatized protein annotation

Fine-scale metabolic discontinuity in a stratified prokaryote microbiome of a Red Sea deep halocline


AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models

Zero-Shot Information Extraction via Chatting with ChatGPT

Named Entity and Relation Extraction with Multi-Modal Retrieval

DAMO-NLP at SemEval-2023 Task 2: A Unified Retrieval-augmented System for Multilingual Named Entity Recognition

Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field

Prompting ChatGPT in MNER: Enhanced Multimodal Named Entity Recognition with Auxiliary Refined Knowledge

DAMO-NLP at NLPCC-2022 Task 2: Knowledge Enhanced Robust NER for Speech Entity Linking

Unsupervised Boundary-Aware Language Model Pretraining for Chinese Sequence Labeling

Recall, Expand, and Multi-Candidate Cross-Encode: Fast and Accurate Ultra-Fine Entity Typing

D2KLab at SemEval-2023 Task 2: Leveraging T-NER to Develop a Fine-Tuned Multilingual Model for Complex Named Entity Recognition

Proceedings of the The 17th International Workshop on Semantic Evaluation (SemEval-2023)


Hierarchical unsupervised and semi-supervised topic models for sparse count data with CorEx

Anchored Correlation Explanation: Topic Modeling with Minimal Domain Knowledge

Discovering Structure in High-Dimensional Data Through Correlation Explanation

Maximally Informative Hierarchical Representations of High-Dimensional Data

Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds

Text mining for social science - The state and the future of computational text analysis in sociology.

vONTSS: vMF based semi-supervised neural topic modeling with optimal transport

Assessing the Alignment between the Information Needs of Developers and the Documentation of Programming Languages: A Case Study on Rust

Unsupervised Keyphrase Extraction via Interpretable Neural Networks


Python functions for reading kaldi data formats. Useful for rapid prototyping with python.

The PyTorch-Kaldi Speech Recognition Toolkit

TorchAudio: Building Blocks for Audio and Speech Processing

Integration of TensorFlow based Acoustic Model with Kaldi WFST Decoder


A full Python Implementation of the ROUGE Metric (not a wrapper)

BanditSum: Extractive Summarization as a Contextual Bandit

A Multi-Modal Transformer-based Code Summarization Approach for Smart Contracts

Reading Like HER: Human Reading Inspired Extractive Summarization

A Domain-Specific Generative Chatbot Trained from Little Data

Simple Conversational Data Augmentation for Semi-supervised Abstractive Dialogue Summarization

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

Element-aware Summarization with Large Language Models: Expert-aligned Evaluation and Chain-of-Thought Method

Bidirectional Language Models Are Also Few-shot Learners

An Imitation Learning Curriculum for Text Editing with Non-Autoregressive Models

Reinforcement Learning with Imbalanced Dataset for Data-to-Text Medical Report Generation

SOTitle: A Transformer-based Post Title Generation Approach for Stack Overflow


Python API for LVIS Dataset

LVIS: A Dataset for Large Vocabulary Instance Segmentation

Overcoming Classifier Imbalance for Long-tail Object Detection with Balanced Group Softmax

Adaptive Class Suppression Loss for Long-Tail Object Detection


A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

Generalized Inner Loop Meta-Learning

Meta-Learning of Neural Architectures for Few-Shot Learning

BOIL: Towards Representation Change for Few-shot Learning

Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch

FLEX: Unifying Evaluation for Few-Shot NLP

Meta-Learning Symmetries by Reparameterization

Torchmeta: A Meta-Learning library for PyTorch

Offline Meta-Reinforcement Learning with Advantage Weighting

Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness

Betty: An Automatic Differentiation Library for Multilevel Optimization


The official repo of Aquila2 series proposed by BAAI, including pretrained & chat large language models.

LoRA: Low-Rank Adaptation of Large Language Models

QLoRA: Efficient Finetuning of Quantized LLMs

ChatGPT's One-year Anniversary: Are Open-Source Large Language Models
  Catching up?

YAYI 2: Multilingual Open-Source Large Language Models


Large-scale, multi-GPU capable, kernel solver

Kernel methods through the roof: handling billions of points efficiently

Efficient Hyperparameter Tuning for Large Scale Kernel Ridge Regression

Neural Tangent Kernel: A Survey

Fast Region Proposal Learning for Object Detection for Robotics

Ada-BKB: Scalable Gaussian Process Optimization on Continuous Domains by
  Adaptive Discretization


Concealed Object Detection (SINet-V2, IEEE TPAMI 2022). Code is implemented by PyTorch/Jittor frameworks.

Concealed Object Detection

Advances in Deep Concealed Scene Understanding

How Good is Google Bard's Visual Understanding? An Empirical Study on Open Challenges


A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules

Dynamic Routing Between Capsules

HitNet: a neural network with capsules embedded in a Hit-or-Miss layer, extended with hybrid data augmentation and ghost capsules

Collaboratively Weighting Deep and Classic Representation via L2 Regularization for Image Classification

Deformable Part Networks


STAR-Fusion codebase

Accuracy assessment of fusion transcript detection via read-mapping and de novo fusion transcript assembly-based methods

The driver landscape of sporadic chordoma

A first-generation pediatric cancer dependency map

Computational Oncology in the Multi-Omics Era: State of the Art

Indel detection from RNA-seq data: tool evaluation and strategies for accurate detection of actionable mutations

Chromatin-Based Classification of Genetically Heterogeneous AMLs into Two Distinct Subtypes with Diverse Stemness Phenotypes

Proteogenomic Analysis Unveils the HLA Class I-Presented Immunopeptidome in Melanoma and EGFR-Mutant Lung Adenocarcinoma

Familial thrombocytopenia due to a complex structural variant resulting in a WAC-ANKRD26 fusion transcript

The Journal of experimental medicine/The journal of experimental medicine

Identification and Characterization of Non-Coding RNAs in Thymoma

Medical science monitor : international medical journal of experimental and clinical research

Statistical algorithms improve accuracy of gene fusion detection


A simulation library for Agility Robotics' Cassie robot using MuJoCo

Feedback Control For Cassie With Deep Reinforcement Learning

Reinforcement Learning for Robust Parameterized Locomotion Control of Bipedal Robots

Sim-to-Real Learning of All Common Bipedal Gaits via Periodic Reward Composition

Hybrid Zero Dynamics Inspired Feedback Control Policy Design for 3D Bipedal Locomotion using Reinforcement Learning

Learning Task Space Actions for Bipedal Locomotion

Learning Spring Mass Locomotion: Guiding Policies With a Reduced-Order Model

Robust and Versatile Bipedal Jumping Control through Reinforcement Learning

Adapting Rapid Motor Adaptation for Bipedal Robots

Validating Robotics Simulators on Real-World Impacts

Sim-to-Real Learning for Bipedal Locomotion Under Unsensed Dynamic Loads


An API to retrieve and read NFL Game Center JSON data. It can work with real-time data, which can be used for fantasy football.

Fantasy Football Prediction

The Anatomy of American Football: Evidence from 7 Years of NFL Game Data

iWinRNFL: A Simple, Interpretable & Well-Calibrated In-Game Win Probability Model for NFL

NFL Play Prediction

Известия Российского государственного педагогического университета им. А.И. Герцена


Pervasive Attention: 2D Convolutional Networks for Sequence-to-Sequence Prediction

Pervasive Attention: 2D Convolutional Neural Networks for Sequence-to-Sequence Prediction

Efficient Wait-k Models for Simultaneous Machine Translation

Stream-level Latency Evaluation for Simultaneous Machine Translation

Better Simultaneous Translation with Monotonic Knowledge Distillation

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

The AISP-SJTU Simultaneous Translation System for IWSLT 2022

Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)


A learning environment for man-made Interactive Fiction games.

Interactive Fiction Games: A Colossal Adventure

Graph Constrained Reinforcement Learning for Natural Language Action Spaces

How to Avoid Being Eaten by a Grue: Structured Exploration Strategies for Textual Worlds

Playing Text-Based Games with Common Sense

How To Avoid Being Eaten By a Grue: Exploration Strategies for Text-Adventure Agents

Modeling Worlds in Text

Situated Language Learning via Interactive Narratives

Eye of the Beholder: Improved Relation Generalization for Text-based
  Reinforcement Learning Agents

Learn What Is Possible, Then Choose What Is Best: Disentangling One-To-Many Relations in Language Through Text-based Games

Learning to Play Text-Based Adventure Games with Maximum Entropy Reinforcement Learning


Inference code for CodeLlama models

Code Llama: Open Foundation Models for Code

Difference-in-Differences Estimation with Spatial Spillovers

LLM for SoC Security: A Paradigm Shift

A Survey on Large Language Models for Software Engineering

LLM4VV: Developing LLM-Driven Testsuite for Compiler Validation

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

Chain-of-Thought in Neural Code Generation: From and For Lightweight
  Language Models

The Transformative Influence of Large Language Models on Software
  Development


PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

Emerging Properties in Self-Supervised Vision Transformers

XCiT: Cross-Covariance Image Transformers

Decomposing NeRF for Editing via Feature Field Distillation

Diffusion Art or Digital Forgery? Investigating Data Replication in Diffusion Models

LRM: Large Reconstruction Model for Single Image to 3D

Pushing the limits of raw waveform speaker recognition

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

SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for
  Self-Supervised Learning in Earth Observation

Unsupervised Semantic Segmentation with Self-supervised Object-centric
  Representations

How Transferable Are Self-supervised Features in Medical Image Classification Tasks?


An open-source tool for sequence learning in NLP built on TensorFlow.

Deep Learning on Graphs: A Survey

Graph Convolutional Encoders for Syntax-aware Neural Machine Translation


A code for generating fake spectra from a cosmological simulation

Trident: A Universal Tool for Generating Synthetic Absorption Spectra from Astrophysical Simulations

An Emulator for the Lyman-alpha Forest

Journal of Cosmology and Astroparticle Physics

An emulator for the Lyman-α forest in beyond-ΛCDM cosmologies

The Effect Of AGN Heating On The Low-Redshift Lyα Forest

Simulating the carbon footprint of galactic haloes

Monthly Notices of the Royal Astronomical Society

Massive neutrinos and degeneracies in Lyman-alpha forest simulations

Characterizing Protoclusters and Protogroups at z ∼ 2.5 Using Lyα Tomography

The Low-redshift Lyα Forest as a Constraint for Models of AGN Feedback

A Multi-Fidelity Emulator for the Lyman-α Forest Flux Power
  Spectrum

Non-linearities in the Lyman-α forest and in its cross-correlation with dark matter halos


Home of Arachne and other Arkouda functionality provided by researchers at NJIT

Arachne: An Arkouda Package for Large-Scale Graph Analytics

IEEE Conference on High Performance Extreme Computing


R scripts for an indicator on long-term trends in groundwater levels in B.C. published on Environmental Reporting BC


RH 1.5D

On the generation of solar spicules and Alfvénic waves

Characterization and formation of on-disk spicules in the Ca II K and Mg II k spectral lines

Semi-empirical model atmospheres for the chromosphere of the sunspot penumbra and umbral flashes

Statistical Study of Chromospheric Evaporation in Impulsive Phase of Solar Flares

Understanding the Duration of Solar and Stellar Flares at Various Wavelengths


Very large Dzyaloshinskii-Moriya interaction in two-dimensional Janus manganese dichalcogenides and its application to realize skyrmion states

Giant nonlinear anomalous Hall effect induced by spin-dependent band structure evolution

From vertices to vortices in magnetic nanoislands

Sewing skyrmion and antiskyrmion by quadrupole of Bloch points


Decombinator v4: fast, error-correcting analysis of TCR repertoires

Feature selection using a one dimensional naïve Bayes’ classifier increases the accuracy of support vector machine classification of CDR3 repertoires

Persistent T Cell Repertoire Perturbation and T Cell Activation in HIV After Long Term Treatment

Decombinator V4: an improved AIRR-C compliant-software package for T-cell receptor sequence annotation?

The clonal structure and dynamics of the human T cell response to an organic chemical hapten

Plasticity of the Immune System in Children Following Treatment Interruption in HIV-1 Infection


Models and Simulations for the Photometric LSST Astronomical Time Series Classification Challenge (PLAsTiCC)

Publications of the Astronomical Society of the Pacific

VBBINARYLENSING: a public package for microlensing light-curve computation

Monthly notices of the Royal Astronomical Society

pyLIMA: An Open-source Package for Microlensing Modeling. I. Presentation of the Software and Analysis of Single-lens Models

ROME/REA: A Gravitational Microlensing Search for Exoplanets Beyond the Snow Line on a Global Network of Robotic Telescopes

Measuring the microlensing parallax from various space observatories

Confirmation of the Stellar Binary Microlensing Event, Macho 97-BLG-28

Reconciling the Predictions of Microlensing Analysis with Radial Velocity Measurements for OGLE-2011-BLG-0417

A public code for astrometric microlensing with contour integration


This repository is the working directory for the Garnet-Forest bundle of python scripts for analyzing diverse forms of 'omic' data in a network context.

Network-Based Interpretation of Diverse High-Throughput Datasets through the Omics Integrator Software Package

PCSF: An R-package for network-based interpretation of high-throughput data

Clinical protein science in translational medicine targeting malignant melanoma

Computational Analysis of Phosphoproteomics Data in Multi-Omics Cancer Studies

Discovering Altered Regulation and Signaling Through Network-based Integration of Transcriptomic, Epigenomic, and Proteomic Tumor Data

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

Functional stratification of cancer drugs through integrated network similarity


Calculates Hydrologic Indicator stats and fundamental properties of daily streamflow for a given set of data

A high-resolution streamflow and hydrological metrics dataset for ecological modeling using a regression model

Regionalization for Ungauged Catchments — Lessons Learned From a Comparative Large‐Sample Study

Assessing Environmental Flow Targets Using Pre-Settlement Land Cover: A SWAT Modeling Application

Species-Richness Responses to Water-Withdrawal Scenarios and Minimum Flow Levels: Evaluating Presumptive Standards in the Tennessee and Cumberland River Basins

Assessing the Difference between Soil and Water Assessment Tool (SWAT) Simulated Pre-Development and Observed Developed Loading Regimes


The DayTrader 7 benchmark sample, which is a Java EE 7 application built around the paradigm of an online stock trading system. #JavaEE7

Mono2Micro: a practical and effective tool for decomposing monolithic Java applications to microservices

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

Graph Neural Network to Dilute Outliers for Refactoring Monolith Application

Cumulative Stay-time Representation for Electronic Health Records in Medical Event Time Prediction

A Hierarchical-DBSCAN Method for Extracting Microservices from
  Monolithic Applications

CARGO: AI-Guided Dependency Analysis for Migrating Monolithic Applications to Microservices Architecture

A Survey on Graph Neural Networks for Microservice-Based Cloud Applications

An expert system for redesigning software for cloud applications

Lessons learned from hyper-parameter tuning for microservice candidate identification


Higher Groups in Homotopy Type Theory

Homotopy Type Theory in Lean

On the Formalization of Higher Inductive Types and Synthetic Homotopy
  Theory

The real projective spaces in homotopy type theory

Classifying Types.

The Hurewicz theorem in homotopy type theory

Nilpotent types and fracture squares in homotopy type theory

Mathematical Structures in Computer Science


Approximating Continuous Functions on Persistence Diagrams Using Template Functions

Adaptive Partitioning for Template Functions on Persistence Diagrams

International Conference on Machine Learning and Applications

ANAPT: Additive noise analysis for persistence thresholding


An open-source orbit-computation package for Solar System objects.

REALISTIC DETECTABILITY OF CLOSE INTERSTELLAR COMETS

NEOMOD: A New Orbital Distribution Model for Near-Earth Objects

Asteroid Photometry from the Transiting Exoplanet Survey Satellite: A Pilot Study

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

Monitoring near-Earth-object discoveries for imminent impactors

Masses, bulk densities, and macroporosities of asteroids (15) Eunomia, (29) Amphitrite, (52) Europa, and (445) Edna based on Gaia astrometry


[ICLR2024 spotlight] OmniQuant is a simple and powerful quantization technique for LLMs.

OmniQuant: Omnidirectionally Calibrated Quantization for Large Language
  Models


Temporal Network Tools

From static to temporal network theory: Applications to functional brain connectivity

Temporal flow of hubs and connectivity in the human brain

Brain network segregation and integration during painful thermal stimulation

Multiple spatial scale mapping of time-resolved brain network reconfiguration during evoked pain in patients with rheumatoid arthritis


Efficient neural speech synthesis

LPCNet: Improving Neural Speech Synthesis Through Linear Prediction

A Survey on Neural Speech Synthesis

A Real-Time Wideband Neural Vocoder at 1.6 kb/s Using LPCNet

High quality, lightweight and adaptable TTS using LPCNet

Half-Truth: A Partially Fake Audio Detection Dataset

Improving Opus Low Bit Rate Quality with Neural Speech Synthesis

Towards Natural Bilingual and Code-Switched Speech Synthesis Based on Mix of Monolingual Recordings and Cross-Lingual Voice Conversion

FeatherWave: An efficient high-fidelity neural vocoder with multi-band linear prediction

Speaker independence of neural vocoders and their effect on parametric
  resynthesis speech enhancement

Towards Natural and Controllable Cross-Lingual Voice Conversion Based on Neural TTS Model and Phonetic Posteriorgram


annotate a VCF with other VCFs/BEDs/tabixed files

Expanding the Boundaries of RNA Sequencing as a Diagnostic Tool for Rare Mendelian Disease

IDrugs : the investigational drugs journal

Clinical relevance of molecular characteristics in Burkitt lymphoma differs according to age

Resources for Interpreting Variants in Precision Genomic Oncology Applications

Skim-Sequencing Based Genotyping Reveals Genetic Divergence of the Wild and Domesticated Population of Black Tiger Shrimp (Penaeus monodon) in the Indo-Pacific Region

Innovative strategies for annotating the “relationSNP” between variants and molecular phenotypes

TiSAn: estimating tissue-specific effects of coding and non-coding variants

Scalable approaches for functional analyses of whole-genome sequencing non-coding variants

Human molecular genetics online/Human molecular genetics


Ego4D: Around the World in 3,000 Hours of Egocentric Video

EgoTracks: A Long-term Egocentric Visual Object Tracking Dataset

EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with Visual Queries


FAst Lookups of Cosine and Other Nearest Neighbors (based on fast locality-sensitive hashing)

Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs

Fast Approximate Nearest Neighbor Search With The Navigating Spreading-out Graph

A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations

A Revisit of Hashing Algorithms for Approximate Nearest Neighbor Search

Fast Cosine Similarity Search in Binary Space with Angular Multi-Index Hashing

Constructing Tree-based Index for Efficient and Effective Dense Retrieval

Reconfigurable Inverted Index

Falconn++: A Locality-sensitive Filtering Approach for Approximate
  Nearest Neighbor Search

Benchmarking Filtering Techniques for Entity Resolution

A scalable solution to the nearest neighbor search problem through local-search methods on neighbor graphs

Pattern analysis and applications/Pattern analysis & applications


A Comprehensive Reinforcement Learning Zoo for Simple Usage

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Asynchronous Methods for Deep Reinforcement Learning

Deep Reinforcement Learning with Double Q-learning

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

Trust Region Policy Optimization

Addressing Function Approximation Error in Actor-Critic Methods

Dueling Network Architectures for Deep Reinforcement Learning

Prioritized Experience Replay

Emergence of Locomotion Behaviours in Rich Environments


Original Implementation of Prompt Tuning from Lester, et al, 2021

The Power of Scale for Parameter-Efficient Prompt Tuning

SuperGLUE: A Stickier Benchmark for General-Purpose Language Understanding Systems

Overcoming Catastrophic Forgetting in Zero-Shot Cross-Lingual Generation

Two-stage LLM Fine-tuning with Less Specialization and More
  Generalization


:herb: 中文近义词：聊天机器人，智能问答工具包

Pre-Training with Whole Word Masking for Chinese BERT

Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks

BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis

RoCBert: Robust Chinese Bert with Multimodal Contrastive Pretraining

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

A Mobile-Based Question-Answering and Early Warning System for Assisting Diabetes Management

Wireless communications and mobile computing

GrammarGPT: Exploring Open-Source LLMs for Native Chinese Grammatical Error Correction with Supervised Fine-Tuning

A Hybrid System for NLPTEA-2020 CGED Shared Task

StyleBERT: Chinese pretraining by font style information

From Text to Sound: A Preliminary Study on Retrieving Sound Effects to Radio Stories

Chinese grammatical error correction based on knowledge distillation


nmtpy is a Python framework based on dl4mt-tutorial to experiment with Neural Machine Translation pipelines.

Using the Output Embedding to Improve Language Models

Does Multimodality Help Human and Machine for Translation and Image Captioning?

Proceedings of the First Conference on Machine Translation: Volume 2,
          Shared Task Papers

LIUM-CVC Submissions for WMT17 Multimodal Translation Task

NMTPY: A Flexible Toolkit for Advanced Neural Machine Translation Systems

The Prague Bulletin of Mathematical Linguistics

Multimodal Attention for Neural Machine Translation

Factored Neural Machine Translation

Word Representations in Factored Neural Machine Translation

Proceedings of the Second Conference on Machine Translation

Neural Machine Translation by Generating Multiple Linguistic Factors

Statistical Language and Speech Processing

LIUM Machine Translation Systems for WMT17 News Translation Task


Tevatron - A flexible toolkit for neural retrieval research and development.

Dense Passage Retrieval for Open-Domain Question Answering

Dense Text Retrieval based on Pretrained Language Models: A Survey

Tevatron: An Efficient and Flexible Toolkit for Dense Retrieval

Fine-Tuning LLaMA for Multi-Stage Text Retrieval

Improving Query Representations for Dense Retrieval with Pseudo Relevance Feedback: A Reproducibility Study

Toward Best Practices for Training Multilingual Dense Retrieval Models

Sparsifying Sparse Representations for Passage Retrieval by Top-k
  Masking

DataLab: A Platform for Data Analysis and Intervention

The tale of two MS MARCO -- and their unfair comparisons

Asyncval: A Toolkit for Asynchronously Validating Dense Retriever Checkpoints during Training

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


InVEST®: models that map and value the goods and services from nature that sustain and fulfill human life.

Mapping the benefits of nature in cities with the InVEST software


Interfacing RDKit and AutoDock

A force field with discrete displaceable waters and desolvation entropy for hydrated ligand docking.

D3R Grand Challenge 4: prospective pose prediction of BACE1 ligands with AutoDock-GPU

Journal of computer-aided molecular design

In silico and in vitro studies of potential inhibitors against Dengue viral protein NS5 Methyl Transferase from Ginseng and Notoginseng

Journal of traditional and complementary medicine

Pharmacophore Modeling Using Machine Learning for Screening the Blood–Brain Barrier Permeation of Xenobiotics

International journal of environmental research and public health

Performance evaluation of flexible macrocycle docking in AutoDock


A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

A Survey on Deep Learning for Named Entity Recognition

Learning from Language Description: Low-shot Named Entity Recognition via Decomposed Framework

Low Resource Multi-Task Sequence Tagging - Revisiting Dynamic Conditional Random Fields.

TNNT: The Named Entity Recognition Toolkit


CLI tool for flexible and fast adaptive sampling on ONT sequencers

Readfish enables targeted nanopore sequencing of gigabase-sized genomes

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

International journal of molecular sciences

ReadBouncer: precise and scalable adaptive sampling for nanopore sequencing

Portable nanopore-sequencing technology: Trends in development and applications

Barcode aware adaptive sampling for GridION and PromethION Oxford Nanopore sequencers


This proposal has been replaced by the Topics API.

Massively Parallel and Dynamic Algorithms for Minimum Size Clustering

Masked LARk: Masked Learning, Aggregation and Reporting worKflow

The Attention Economy and the Impact of Artificial Intelligence

Interest-disclosing Mechanisms for Advertising are Privacy-Exposing (not Preserving)


Utilities, Baselines, Statistics and Descriptions Related to the MSMARCO DATASET

MS MARCO: A Human Generated MAchine Reading COmprehension Dataset

Document Expansion by Query Prediction

An Updated Duet Model for Passage Re-ranking

Templates of generic geographic information for answering where-questions

International journal of geographical information science

Neural Methods for Effective, Efficient, and Exposure-Aware Information Retrieval


Spatial Sparse Convolution Library

Superpoint Transformer for 3D Scene Instance Segmentation

Green Hierarchical Vision Transformer for Masked Image Modeling

D3Net: A Unified Speaker-Listener Architecture for 3D Dense Captioning
  and Visual Grounding

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Towards Efficient 3D Object Detection with Knowledge Distillation

Deep Learning of Preconditioners for Conjugate Gradient Solvers in Urban Water Related Problems

PonderV2: Pave the Way for 3D Foundation Model with A Universal
  Pre-training Paradigm

StereoVoxelNet: Real-Time Obstacle Detection Based on Occupancy Voxels from a Stereo Camera Using Deep Neural Networks

MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds

LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation


The SP800-90B_EntropyAssessment C++package implements the min-entropy assessment methods included in Special Publication 800-90B.

Enhancing Extractable Quantum Entropy in Vacuum-Based Quantum Random Number Generator

A visualidade dos sujeitos surdos no contexto da educação audiovisual

International Conference on Mobile Systems, Applications, and Services

A Fully Digital True Random Number Generator With Entropy Source Based in Frequency Collapse

Random number generation from a quantum tunneling diode

On Entropy and Bit Patterns of Ring Oscillator Jitter

Multiplexing quantum tunneling diodes for random number generation


GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

GLM-130B: An Open Bilingual Pre-trained Model

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large
  Language Models

KoLA: Carefully Benchmarking World Knowledge of Large Language Models

Transformer models: an introduction and catalog

Effects of Generative Chatbots in Higher Education

GLM-Dialog: Noise-tolerant Pre-training for Knowledge-grounded Dialogue Generation

Supervised Learning and Large Language Model Benchmarks on Mental Health Datasets: Cognitive Distortions and Suicidal Risks in Chinese Social Media


Distributed, Versioned, Image-oriented Dataservice

A connectome of a learning and memory center in the adult Drosophila brain

TDat: An Efficient Platform for Processing Petabyte-Scale Whole-Brain Volumetric Images

NeuTu: Software for Collaborative, Large-Scale, Segmentation-Based Connectome Reconstruction

DVID: Distributed Versioned Image-Oriented Dataservice

The Brain Observatory Storage Service and Database (BossDB): A Cloud-Native Approach for Petascale Neuroscience Discovery

Analyzing Image Segmentation for Connectomics

Large-Scale Electron Microscopy Image Segmentation in Spark

Large-scale EM Analysis of the Drosophila Antennal Lobe with Automatically Computed Synapse Point Clouds

Igneous: Distributed dense 3D segmentation meshing, neuron skeletonization, and hierarchical downsampling


Passive Real-time Asset Detection System

LightBox: Full-stack Protected Stateful Middlebox at Lightning Speed

PROCEEDINGS OF THE 2019 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'19)

Survey and Taxonomy of Adversarial Reconnaissance Techniques

Assessing the Security of Campus Networks: The Case of Seven Universities


Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

Efficient Multi-Scale 3D CNN with Fully Connected CRF for Accurate Brain Lesion Segmentation

Artificial intelligence in cancer imaging: Clinical challenges and applications

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

White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks

Deep Learning–Based Detection of Intracranial Aneurysms in 3D TOF-MRA

Deep learning based brain tumor segmentation: a survey

Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy

A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images


A python based HTML to text conversion library, command line client and Web service.

Trafilatura: A Web Scraping Library and Command-Line Tool for Text Discovery and Extraction

Meeting of the Association for Computational Linguistics

OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text

Multilingual Corpus Creation for Multilingual Semantic Similarity Task

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

Inscriptis -- A Python-based HTML to text conversion library optimized for knowledge extraction from the Web

Harvest - An Open Source Toolkit for Extracting Posts and Post Metadata from Web Forums


Real-time 3D localization using a (velodyne) 3D LIDAR

Efficient Solution to 3D-LiDAR-based Monte Carlo Localization with
  Fusion of Measurement Model Optimization via Importance Sampling


Transfer Learning library for Deep Neural Networks.

Variational Information Distillation for Knowledge Transfer

Empirical Bayes Transductive Meta-Learning with Synthetic Gradients

Transferring Knowledge across Learning Processes

Fast Adaptation with Linearized Neural Networks

Similarity of Neural Networks with Gradients

EasyTransfer -- A Simple and Scalable Deep Transfer Learning Platform
  for NLP Applications


This repository contains code and datasets related to entity/knowledge papers from the VERT (Versatile Entity Recognition & disambiguation Toolkit) project, by the Knowledge Computing group at Microsoft Research Asia (MSRA).

Few-NERD: A Few-Shot Named Entity Recognition Dataset

CAN-NER: Convolutional Attention Network for Chinese Named Entity Recognition

GRN: Gated Relation Network to Enhance Convolutional Neural Network for Named Entity Recognition

Enhanced Meta-Learning for Cross-lingual Named Entity Recognition with Minimal Resources

Single-/Multi-Source Cross-Lingual NER via Teacher-Student Learning on Unlabeled Data in Target Language

UniTrans : Unifying Model Transfer and Data Transfer for Cross-Lingual Named Entity Recognition with Unlabeled Data

Decomposed Meta-Learning for Few-Shot Named Entity Recognition

AdvPicker: Effectively Leveraging Unlabeled Data via Adversarial Discriminator for Cross-Lingual NER

Prompt-Based Metric Learning for Few-Shot NER

CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition


A collection of multi agent environments based on OpenAI gym.

Deep Implicit Coordination Graphs for Multi-agent Reinforcement Learning

Residual Q-Networks for Value Function Factorizing in Multi-Agent
  Reinforcement Learning

Overcoming Challenges of Applying Reinforcement Learning for Intelligent Vehicle Control

Learning to Ground Decentralized Multi-Agent Communication with
  Contrastive Learning

Impact of Relational Networks in Multi-Agent Learning: A Value-Based
  Factorization View

Influence of Team Interactions on Multi-Robot Cooperation: A Relational Network Perspective


Tools to Calculate Climate Targets for Financial Portfolios


Axion field evolution around QCD

Early seeds of axion miniclusters

Journal of Cosmology and Astroparticle Physics

Simulations of axionlike particles in the postinflationary scenario

Structure of axion miniclusters

Axion minivoids and implications for direct detection

Miniclusters from axion string simulations

Spectrum of global string networks and the axion dark matter mass


libstempo — a Python wrapper for tempo2

THE NANOGRAV NINE-YEAR DATA SET: EXCESS NOISE IN MILLISECOND PULSAR ARRIVAL TIMES

A Second Chromatic Timing Event of Interstellar Origin toward PSR J1713+0747

Timing of young radio pulsars – II. Braking indices and their interpretation

Monthly Notices of the Royal Astronomical Society

The impact of glitches on young pulsar rotational evolution

The NANOGrav 11 yr Data Set: Evolution of Gravitational-wave Background Statistics

Joint search for isolated sources and an unresolved confusion background in pulsar timing array data

Taming outliers in pulsar-timing data sets with hierarchical likelihoods and Hamiltonian sampling

Monthly notices of the Royal Astronomical Society

Forecasting Pulsar Timing Array Sensitivity to Anisotropy in the Stochastic Gravitational Wave Background

Disentangling Multiple Stochastic Gravitational Wave Background Sources in PTA Data Sets

Constraining alternative polarization states of gravitational waves from individual black hole binaries using pulsar timing arrays


Matrix cascade equation core code

Calculation of conventional and prompt lepton fluxes at very high energy

The hadronic interaction model Sibyll-2.3c and inclusive lepton fluxes

Neutrinos from cosmic ray interactions in the Sun

Bounds on secret neutrino interactions from high-energy astrophysical neutrinos

Unified atmospheric neutrino passing fractions for large-scale neutrino telescopes

Tau neutrinos in the next decade: from GeV to EeV

Using high-energy neutrinos as cosmic magnetometers

PLEνM: A global and distributed monitoring system of high-energy astrophysical neutrinos

Proceedings of 37th International Cosmic Ray Conference — PoS(ICRC2021)

High-energy atmospheric muon flux calculations in comparison with recent measurements

Neutrino Observations of LHAASO Sources: Present Constraints and Future
  Prospects


PyForecast is a statistical modeling tool used by Reclamation water managers and reservoir operators to train and build predictive models for seasonal inflows and streamflows. PyForecast allows users to make current water-year forecasts using models developed with the program.


Python package for running hydrological models


Python library to train neural networks with a strong focus on hydrological applications.

Deep learning rainfall-runoff predictions of extreme events

Benchmarking data-driven rainfall–runoff models in Great Britain: a comparison of long short-term memory (LSTM)-based models with four lumped conceptual models

Uncertainty Estimation with Deep Learning for Rainfall-Runoff Modelling

Hydrological Concept Formation inside Long Short-Term Memory (LSTM) networks

Zenodo (CERN European Organization for Nuclear Research)

Benchmarking Data-Driven Rainfall-Runoff Models in Great Britain: A comparison of LSTM-based models  with four lumped conceptual models


The Ferret program from NOAA/PMEL


Neurosynth core tools

Movie viewing elicits rich and reliable brain state dynamics

Large-scale resting state network correlates of cognitive impairment in Parkinson's disease and related dopaminergic deficits

Topographic gradients of intrinsic dynamics across neocortex

Intrinsic connectivity reveals functionally distinct cortico-hippocampal networks in the human brain

A Precuneal Causal Loop Mediates External and Internal Information Integration in the Human Brain

The journal of neuroscience/The Journal of neuroscience

Activation network mapping for integration of heterogeneous fMRI findings

Molecular signatures of cognition and affect

Information-Restricted Neural Language Models Reveal Different Brain
  Regions' Sensitivity to Semantics, Syntax and Context

Transitions between cognitive topographies: contributions of network structure, neuromodulation, and disease

bioRxiv : the preprint server for biology

Health news sharing is reflected in distributed reward-related brain activity

Social cognitive and affective neuroscience


A lazy-grounding Answer-Set Programming system

Degrees of Laziness in Grounding: Effects of Lazy-Grounding Strategies on ASP Solving

Neural Program Repair with Program Dependence Analysis and Effective
  Filter Mechanism

Conflict Generalisation in ASP: Learning Correct and Effective Non-Ground Constraints


The LRP Toolbox provides simple and accessible stand-alone implementations of LRP for artificial neural networks supporting Matlab and Python. The Toolbox realizes LRP functionality for the Caffe Deep Learning Framework as an extension of Caffe source code published in 10/2015.

Unmasking Clever Hans predictors and assessing what machines really learn

"What is relevant in a text document?": An interpretable machine learning approach

Explaining the unique nature of individual gait patterns with deep learning

Towards Best Practice in Explaining Neural Network Decisions with LRP

Explaining decisions of deep neural networks used for fish age prediction


Python Active-subspaces Utility Library

Learning nonlinear level sets for dimensionality reduction in function approximation

Sequential Learning of Active Subspaces

Active Manifolds: A non-linear analogue to Active Subspaces

Multi‐fidelity data fusion through parameter space reduction with applications to automotive engineering

Multi‐fidelity data fusion for the approximation of scalar functions with low intrinsic dimensionality through active subspaces

Proceedings in applied mathematics and mechanics

Accelerating Derivative-Free Optimization with Dimension Reduction and Hyperparameter Learning


SourceXtractor++, the next generation SExtractor

Constraining the physical properties of the first lensed z∼10-16
  galaxy candidates with JWST

Euclid preparation

HAL (Le Centre pour la Communication Scientifique Directe)

A SPectroscopic Survey of Biased Halos in the Reionization Era (ASPIRE): JWST Discovers an Overdensity around a Metal Absorption-selected Galaxy at z ∼ 5.5


Fuente de datos de los reportajes y proyectos de periodismo de investigación y datos de DATADISTA

A modified SEIR model to predict the COVID-19 outbreak in Spain and Italy: Simulating control scenarios and multi-scale epidemics

Global evidence for ultraviolet radiation decreasing COVID-19 growth rates

Covid-19: Open-Data Resources for Monitoring, Modeling, and Forecasting the Epidemic

A hierarchical spatio-temporal model to analyze relative risk variations of COVID-19: a focus on Spain, Italy and Germany

Stochastic environmental research and risk assessment : research journal

A Bayesian-Deep Learning Model for Estimating COVID-19 Evolution in Spain

Open Data Resources for Fighting COVID-19

COVID19-Tracker: una aplicación Shiny para analizar datos de la epidemia de SARS-CoV-2 en España./ [COVID19-Tracker: a shiny app to analise data on SARS-CoV-2 epidemic in Spain].

COVID-19 and other viruses: Holding back its spreading by massive testing

A scaling approach to estimate the age-dependent COVID-19 infection fatality ratio from incomplete data

Monitoring and Analysis of COVID-19 Pandemic: The Need for an Empirical Approach