Facepager was made for fetching public available data from YouTube, Twitter and other websites on the basis of APIs and webscraping.

Measuring the Outreach Efforts of Public Health Authorities and the Public Response on Facebook During the COVID-19 Pandemic in Early 2020: Cross-Country Comparison

Does really no one care? Analyzing the public engagement of communication scientists on Twitter

What You Can Scrape and What Is Right to Scrape: A Proposal for a Tool to Collect Public Facebook Data

Influence of the pandemic lockdown on Fridays for Future’s hashtag activism

Aspect Based Sentiment Analysis of Ridesharing Platform Reviews for Kansei Engineering

Keep Them Engaged: Romanian County Inspectorates for Emergency Situations’ Facebook Usage for Disaster Risk Communication and Beyond

Determining containment policy impacts on public sentiment during the pandemic using social media data

Worth to Share? How Content Characteristics and Article Competitiveness Influence News Sharing on Social Network Sites

Journalism & mass communication quarterly

Less Populist in Power? Online Communication of Populist Parties in Coalition Governments

Processing unstructured documents and social media using Big Data techniques


BayesfMRI R package

ciftiTools: A package for reading, writing, visualizing, and manipulating CIFTI files in R

Parallelized integrated nested Laplace approximations for fast Bayesian inference

Spatial Bayesian GLM on the cortical surface produces reliable task activations in individuals and groups


A Django project that powers the backend of Terraso platform.


Create realistic networks of neurons, synapses placed using touch detection between axons and dendrites

The microcircuits of striatum in silico

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

Predicting Synaptic Connectivity for Large-Scale Microcircuit Simulations Using Snudda

Dopaminergic and Cholinergic Modulation of Large Scale Networks in silico Using Snudda


EQTransformer, a python package for earthquake signal detection and phase picking using AI.

Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking

Comparison of Deep Learning Techniques for the Investigation of a Seismic Sequence: An Application to the 2019, Mw 4.5 Mugello (Italy) Earthquake

Journal of geophysical research. Solid earth

Small Magnitude Events Highlight the Correlation Between Hydraulic Fracturing Injection Parameters, Geological Factors, and Earthquake Occurrence


Creative Commons Attribution 4.0 International

A vocabulary for future-oriented mobility solutions and value-added services supporting them.

Git4Voc: Git-based Versioning for Collaborative Vocabulary Development


National and subnational estimates of the time-varying reproduction number for Covid-19

Estimated transmissibility and impact of SARS-CoV-2 lineage B.1.1.7 in England

Estimation and worldwide monitoring of the effective reproductive number of SARS-CoV-2

Exploring surveillance data biases when estimating the reproduction number: with insights into subpopulation transmission of COVID-19 in England

Strategies for using antigen rapid diagnostic tests to reduce transmission of SARS-CoV-2 in low- and middle-income countries: a mathematical modelling study applied to Zambia

Why are different estimates of the effective reproductive number so different? A case study on COVID-19 in Germany


X-PSI: X-ray Pulse Simulation and Inference

The Radius of PSR J0740+6620 from NICER with NICER Background Estimates

An Updated Mass–Radius Analysis of the 2017–2018 NICER Data Set of PSR J0030+0451

Zenodo (CERN European Organization for Nuclear Research)

Atmospheric Effects on Neutron Star Parameter Constraints with NICER

X-PSI Parameter Recovery for Temperature Map Configurations Inspired by PSR J0030+0451


StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

Differentiable Augmentation for Data-Efficient GAN Training

AdaBelief Optimizer: Adapting Stepsizes by the Belief in Observed Gradients

Extracting Training Data from Diffusion Models

ContraGAN: Contrastive Learning for Conditional Image Generation

Rebooting ACGAN: Auxiliary Classifier GANs with Stable Training

StudioGAN: A Taxonomy and Benchmark of GANs for Image Synthesis

Conditional GANs with Auxiliary Discriminative Classifier

The ArtBench Dataset: Benchmarking Generative Models with Artworks

Training on Thin Air: Improve Image Classification with Generated Data

A Unified View of cGANs with and without Classifiers


A Graph Neural Network Library in Jax

GraphCast: Learning skillful medium-range global weather forecasting

Simple GNN Regularisation for 3D Molecular Property Prediction & Beyond

Pre-training via Denoising for Molecular Property Prediction

TorchDrug: A Powerful and Flexible Machine Learning Platform for Drug
  Discovery

FedJAX: Federated learning simulation with JAX

Graph Neural Networks for Particle Tracking and Reconstruction

Large-scale graph representation learning with very deep GNNs and self-supervision

Graph Neural Networks: Methods, Applications, and Opportunities

Very Deep Graph Neural Networks Via Noise Regularisation.

Bi-Manual Manipulation and Attachment via Sim-to-Real Reinforcement
  Learning


Python bindings for COLMAP

D2S: Representing local descriptors and global scene coordinates for
  camera relocalization


The RobotDesigner is a plugin extending Blender for robot and musculoskeletal modeling of simulation models and environments.

Connecting Artificial Brains to Robots in a Comprehensive Simulation Framework: The Neurorobotics Platform

Study of broadband THz time-domain spectroscopy at different relative humidity levels

Deploying and Optimizing Embodied Simulations of Large-Scale Spiking Neural Networks on HPC Infrastructure


Python library for knowledge graph embedding and representation learning.

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

TuckER: Tensor Factorization for Knowledge Graph Completion

ProjE: Embedding Projection for Knowledge Graph Completion

Pykg2vec: A Python Library for Knowledge Graph Embedding

A survey of embedding models of entities and relationships for knowledge graph completion

On the Ambiguity of Rank-Based Evaluation of Entity Alignment or Link Prediction Methods

Learning Triple Embeddings from Knowledge Graphs

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

Bilinear Scoring Function Search for Knowledge Graph Learning

Data Collection vs. Knowledge Graph Completion: What is Needed to Improve Coverage?

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

μKG: A Library for Multi-source Knowledge Graph Embeddings
  and Applications


Public repository for the Monte Python Code

Early Dark Energy can Resolve the Hubble Tension

Early dark energy does not restore cosmological concordance

Oscillating scalar fields and the Hubble tension: A resolution with novel signatures

Cosmic microwave background bounds on primordial black holes including dark matter halo accretion

Constraining early dark energy with large-scale structure

The BAO+BBN take on the Hubble tension

Journal of Cosmology and Astroparticle Physics

Early dark energy is not excluded by current large-scale structure data

The Hubble tension in light of the Full-Shape analysis of Large-Scale Structure data

Limits on wCDM from the EFTofLSS with the PyBird code

Updated tomographic analysis of the integrated Sachs-Wolfe effect and implications for dark energy


A curated list of research, applications and projects built using the H2O Machine Learning platform

Use of a machine learning framework to predict substance use disorder treatment success

Innovative deep learning artificial intelligence applications for predicting relationships between individual tree height and diameter at breast height

askMUSIC: Leveraging a Clinical Registry to Develop a New Machine Learning Model to Inform Patients of Prostate Cancer Treatments Chosen by Similar Men.

Inferring Passenger Type from Commuter Eigentravel Matrices

Deep Learning and Association Rule Mining for Predicting Drug Response in Cancer. A Personalised Medicine Approach

Disruptive Analytics

Maturity of gray matter structures and white matter connectomes, and their relationship with psychiatric symptoms in youth

Morphological traits of reef corals predict extinction risk but not conservation status

Citizen Science Data Show Temperature-Driven Declines in Riverine Sentinel Invertebrates

Environmental science & technology letters

Algorithmic Trading Using Deep Neural Networks on High Frequency Data


Machine Learning Toolkit for Extreme Scale (MaTEx)

Alchemist: An Apache Spark ⇔ MPI interface

Scaling studies for deep learning in Liquid Argon Time Projection Chamber event classification


Force fields produced by the Open Force Field Initiative

Escaping Atom Types in Force Fields Using Direct Chemical Perception

Journal of chemical theory and computation

Development and Benchmarking of Open Force Field v1.0.0, the Parsley Small Molecule Force Field

Open Force Field Consortium: Escaping atom types using direct chemical perception with SMIRNOFF v0.1

openforcefield/openff-forcefields: Version 2.0.0 "Sage"


Accelerated finite element flow solvers

NekRS, a GPU-Accelerated Spectral Element Navier-Stokes Solver

Scalability of High-Performance PDE Solvers

GPU Algorithms for Efficient Exascale Discretizations

Tuning Spectral Element Preconditioners for Parallel Scalability on GPUs

Initial Guesses for Sequences of Linear Systems in a GPU-Accelerated Incompressible Flow Solver

HipBone: A performance-portable GPU-accelerated C++ version of the
  NekBone benchmark

Towards Exascale for Wind Energy Simulations


Toolkit of BDD100K Dataset for Heterogeneous Multitask Learning - CVPR 2020 Oral Paper

BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning

Pasta: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization

OdoViz: A 3D Odometry Visualization and Processing Tool


Lasagne recipes: examples, IPython notebooks, ...

Membership Inference Attacks against Machine Learning Models

Machine Learning Models that Remember Too Much

Feature Learning for Chord Recognition: The Deep Chroma Extractor

Learning to Teach

Learning What Data to Learn

Quantitatively Evaluating GANs With Divergences Proposed for Training

Texture Synthesis Using Shallow Convolutional Networks with Random Filters

Recognizing Birds from Sound - The 2018 BirdCLEF Baseline System

Super-resolution Using Constrained Deep Texture Synthesis


Llama中文社区，Llama3在线体验和微调模型已开放，实时汇总最新Llama3学习资料，已将所有代码更新适配Llama3，构建最好的中文Llama大模型，完全开源可商用

LLaMA: Open and Efficient Foundation Language Models

Llama 2: Open Foundation and Fine-Tuned Chat Models

LoRA: Low-Rank Adaptation of Large Language Models

Knowledgeable Preference Alignment for LLMs in Domain-specific Question
  Answering

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

"Paraphrasing The Original Text" Makes High Accuracy Long-Context QA


[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init
  Attention

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model

ImageBind-LLM: Multi-modality Instruction Tuning

Composite Backdoor Attacks Against Large Language Models

Safety of Multimodal Large Language Models on Images and Text


A flexible Federated Learning Framework based on PyTorch, simplifying your Federated Learning research.

FedLab: A Flexible Federated Learning Framework

Recent Advances on Federated Learning: A Systematic Survey

FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP

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

Federated Model Decomposition with Private Vocabulary for Text Classification

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing


A bare-bones Python library for quality diversity optimization.

Covariance Matrix Adaptation for the Rapid Illumination of Behavior Space

Genetic and Evolutionary Computation Conference

Quality-Diversity Optimization: a novel branch of stochastic
  optimization

Differentiable Quality Diversity

Approximating Gradients for Differentiable Quality Diversity in
  Reinforcement Learning

Illuminating Diverse Neural Cellular Automata for Level Generation

pyribs: A Bare-Bones Python Library for Quality Diversity Optimization

Empirical analysis of PGA-MAP-Elites for Neuroevolution in Uncertain Domains

QDax: A Library for Quality-Diversity and Population-based Algorithms
  with Hardware Acceleration

Training Diverse High-Dimensional Controllers by Scaling Covariance Matrix Adaptation MAP-Annealing


Public repository of the Cosmic Linear Anisotropy Solving System (master for the most recent version of the standard code; GW_CLASS to include Cosmic Gravitational Wave Background anisotropies; classnet branch for acceleration with neutral networks; ExoCLASS branch for exotic energy injection; class_matter branch for FFTlog)

MontePython 3: Boosted MCMC sampler and other features

Teleparallel Gravity: From Theory to Cosmology

Core Cosmology Library: Precision Cosmological Predictions for LSST

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

Nonlinear perturbation theory extension of the Boltzmann code CLASS

Exotic energy injection with ExoCLASS: application to the Higgs portal model and evaporating black holes

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

A deep learning approach to cosmological dark energy models

KiDS plus GAMA: constraints on horndeski gravity from combined large-scale structure probes

Monthly Notices of the Royal Astronomical Society

Observational constraints on dark matter scattering with electrons

Lensing reconstruction in post-Born cosmic microwave background weak lensing


Accurate Species TRee ALgorithm

ASTRAL-III: polynomial time species tree reconstruction from partially resolved gene trees

ASTRAL: genome-scale coalescent-based species tree estimation

ASTRAL-II: coalescent-based species tree estimation with many hundreds of taxa and thousands of genes

Fast Coalescent-Based Computation of Local Branch Support from Quartet Frequencies

The Interrelationships of Land Plants and the Nature of the Ancestral Embryophyte

Evaluating Summary Methods for Multilocus Species Tree Estimation in the Presence of Incomplete Lineage Sorting.

TreeShrink: fast and accurate detection of outlier long branches in collections of phylogenetic trees

To include or not to include: The impact of gene filtering on species tree estimation methods

A comparative study of SVDquartets and other coalescent-based species tree estimation methods

ASTRAL-Pro: Quartet-Based Species-Tree Inference despite Paralogy


Variational autoencoder for metagenomic binning

Bioinformatic Tools for NGS-Based Metagenomics to Improve the Clinical Diagnosis of Emerging, Re-Emerging and New Viruses

binny: an automated binning algorithm to recover high-quality genomes from complex metagenomic datasets

Long-Read Sequencing Improves Recovery of Picoeukaryotic Genomes and Zooplankton Marker Genes from Marine Metagenomes

CLMB: deep contrastive learning for robust metagenomic binning

Adversarial and variational autoencoders improve metagenomic binning


Automatically create Faiss knn indices with the most optimal similarity search parameters.

LAION-5B: An open large-scale dataset for training next generation
  image-text models

ImageBind-LLM: Multi-modality Instruction Tuning

BioReader: a Retrieval-Enhanced Text-to-Text Transformer for Biomedical Literature

X&Fuse: Fusing Visual Information in Text-to-Image Generation

An Empirical Evaluation of Columnar Storage Formats

Automating Nearest Neighbor Search Configuration with Constrained
  Optimization

AdANNS: A Framework for Adaptive Semantic Search


Collection of library stubs for Python, with static types

Vamsa: Automated Provenance Tracking in Data Science Scripts

PyART: Python API Recommendation in Real-Time

Static inference meets deep learning

Proceedings of the 44th International Conference on Software Engineering

Collective Intelligence for Smarter API Recommendations in Python

PYInfer: Deep Learning Semantic Type Inference for Python Variables

DLTPy: Deep Learning Type Inference of Python Function Signatures using Natural Language Context

Gradual Soundness: Lessons from Static Python


Repository for nvCOMP docs and examples. nvCOMP is a library for fast lossless compression/decompression on the GPU that can be downloaded from https://developer.nvidia.com/nvcomp.

FZ-GPU: A Fast and High-Ratio Lossy Compressor for Scientific Computing Applications on GPUs

Proceedings of the 32nd International Symposium on High-Performance Parallel and Distributed Computing

Accelerating GPU-Based Out-of-Core Stencil Computation with On-the-Fly
  Compression

A Comparison of Lossless Compression Methods in Microscopy Data Storage Applications

bioRxiv : the preprint server for biology

GPULZ: Optimizing LZSS Lossless Compression for Multi-byte Data on Modern GPUs

MGARD: A multigrid framework for high-performance, error-controlled data compression and refactoring

L3: Accelerator-Friendly Lossless Image Format for High-Resolution, High-Throughput DNN Training


A PowerModels.jl Extension Package for Exploratory Work

PowerModels.jl: An Open-Source Framework for Exploring Power Flow
  Formulations


qFit: Automated and unbiased multi-conformer models from X-ray and EM maps.

qFit-ligand reveals widespread conformational heterogeneity of drug-like molecules in X-ray electron density maps

Ligand binding remodels protein side-chain conformational heterogeneity

qFit 3: Protein and ligand multiconformer modeling for X-ray crystallographic and single-particle cryo-EM density maps

Refinement of multiconformer ensemble models from multi-temperature X-ray diffraction data

Uncovering Protein Ensembles: Automated Multiconformer Model Building for X-ray Crystallography and Cryo-EM


Resistance Gene Identifier (RGI). Software to predict resistomes from protein or nucleotide data, including metagenomics data, based on homology and SNP models.

CARD 2023: expanded curation, support for machine learning, and resistome prediction at the Comprehensive Antibiotic Resistance Database

Capturing the Resistome: a Targeted Capture Method To Reveal Antibiotic Resistance Determinants in Metagenomes

Identification and quantitation of clinically relevant microbes in patient samples: Comparison of three k-mer based classifiers for speed, accuracy, and sensitivity

Antimicrobial Resistance Genes in Bacteria Isolated From Japanese Honey, and Their Potential for Conferring Macrolide and Lincosamide Resistance in the American Foulbrood Pathogen Paenibacillus larvae

Whole-genome sequence analysis of high-level penicillin-resistant strains and antimicrobial susceptibility of Neisseria gonorrhoeae clinical isolates from Thailand

Variation of Metagenome From Feedstock to Digestate in Full-Scale Biogas Plants

Metagenomic Insight into Microbiome and Antibiotic Resistance Genes of High Clinical Concern in Urban and Rural Hospital Wastewater of Northern India Origin: a Major Reservoir of Antimicrobial Resistance

Flavobacterium flabelliforme sp. nov. and Flavobacterium geliluteum sp. nov., Two Multidrug-Resistant Psychrotrophic Species Isolated From Antarctica

Whole-metagenome shotgun sequencing of pig faecal microbiome

Italian Journal of Animal Science/Italian journal of animal science

Bifidobacterium breve PRL2020: Antibiotic-Resistant Profile and Genomic Detection of Antibiotic Resistance Determinants


Tensorflow Faster RCNN for Object Detection

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Feature Pyramid Networks for Object Detection

Physical Adversarial Examples for Object Detectors

Spatial Memory for Context Reasoning in Object Detection

Iterative Visual Reasoning Beyond Convolutions

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

International Joint Conference on Neural Network

Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning

Weakly Supervised Object Detection in Artworks

Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation

Deep Learning of Histopathology Images at the Single Cell Level


Mixed Precision DNNs: All you need is a good parametrization

Densely connected multidilated convolutional networks for dense prediction tasks

D3Net: Densely connected multidilated DenseNet for music source separation.

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

Multi-Task Audio Source Separation

Data Cleansing for Deep Neural Networks with Storage-efficient
  Approximation of Influence Functions

Feature-informed Latent Space Regularization for Music Source Separation

Towards Robust FastSpeech 2 by Modelling Residual Multimodality


OmniSafe is an infrastructural framework for accelerating SafeRL research.

OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning
  Research

SafeDreamer: Safe Reinforcement Learning with World Models

Imitate the Good and Avoid the Bad: An Incremental Approach to Safe
  Reinforcement Learning


A tool to map bisulfite converted sequence reads and determine cytosine methylation states

Epigenetic Patterns in a Complete Human Genome

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

Systematic evaluation of library preparation methods and sequencing platforms for high-throughput whole genome bisulfite sequencing

Introduction to Single-Cell DNA Methylation Profiling Methods

H3K9me selectively blocks transcription factor activity and ensures differentiated tissue integrity

Drivers underpinning the malignant transformation of giant cell tumour of bone

Abstract 2659: 5-methylcytosine (m5C) RNA modification controls the innate immune response to virus infection by regulating type I interferons

Journal of biological chemistry/The Journal of biological chemistry

Continuous Developmental and Early Life Trichloroethylene Exposure Promoted DNA Methylation Alterations in Polycomb Protein Binding Sites in Effector/Memory CD4+ T Cells

BCREval: a computational method to estimate the bisulfite conversion ratio in WGBS

Bioinformatics and Machine Learning Approaches to Understand the Regulation of Mobile Genetic Elements


Projection predictive variable selection

Sparsity information and regularization in the horseshoe and other shrinkage priors

Projective inference in high-dimensional problems: Prediction and feature selection

Bayesian Estimation of Gaussian Graphical Models with Predictive
  Covariance Selection

Latent space projection predictive inference


Tools for processing 2P recordings

Suite2p: beyond 10,000 neurons with standard two-photon microscopy

Negative feedback control of neuronal activity by microglia

Community-based benchmarking improves spike rate inference from two-photon calcium imaging data

Accurate quantification of astrocyte and neurotransmitter fluorescence dynamics for single-cell and population-level physiology

Two-photon calcium imaging of the medial prefrontal cortex and hippocampus without cortical invasion

HNCcorr: A Novel Combinatorial Approach for Cell Identification in Calcium-Imaging Movies

Arousal regulates frequency tuning in primary auditory cortex

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

Robustness of spike deconvolution for calcium imaging of neural spiking

Neural signatures of auditory hypersensitivity following acoustic trauma

Inhibitory gating of coincidence-dependent sensory binding in secondary auditory cortex


Python wrapper to Philipp Krähenbühl's dense (fully connected) CRFs with gaussian edge potentials.

Understanding Convolution for Semantic Segmentation

Deeply Supervised Salient Object Detection with Short Connections

IEEE transactions on pattern analysis and machine intelligence

Unsupervised Moving Object Detection via Contextual Information Separation

Region Mutual Information Loss for Semantic Segmentation

Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision

Object-aware Contrastive Learning for Debiased Scene Representation

A Collaborative Region Detection and Grading Framework for Forest Fire Smoke Using Weakly Supervised Fine Segmentation and Lightweight Faster-RCNN

Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection

ChronoRoot: High-throughput phenotyping by deep segmentation networks reveals novel temporal parameters of plant root system architecture

Correlation Maximized Structural Similarity Loss for Semantic Segmentation


MATPOWER – steady state power flow simulation and optimization for MATLAB and Octave

Multi-Agent Reinforcement Learning for Active Voltage Control on Power Distribution Networks

A generative graph model for electrical infrastructure networks

An Influence Model Approach to Failure Cascade Prediction in Large Scale Power Systems


Evolutionary multi-objective optimization platform

Meta-Learning-Based Deep Reinforcement Learning for Multiobjective Optimization Problems

Decomposition in decision and objective space for multi-modal multi-objective optimization

Improved SparseEA for sparse large-scale multi-objective optimization problems

Multi-Objective Hyperparameter Optimization -- An Overview

Preference incorporation into many-objective optimization: An Ant colony algorithm based on interval outranking

Multi-agent Dynamic Algorithm Configuration

An effective and efficient evolutionary algorithm for many-objective optimization

Evolutionary Multiobjective Optimization with Endmember Priori Strategy for Large-Scale Hyperspectral Sparse Unmixing

A Novel Angular-Guided Particle Swarm Optimizer for Many-Objective Optimization Problems

Fine-Grained Ensemble of Evolutionary Operators for Objective Space Partition Based Multi-Objective Optimization


A fast, portable, and easy to use Oblivious Transfer Library

Gazelle: A Low Latency Framework for Secure Neural Network Inference

PSI from PaXoS: Fast, Malicious Private Set Intersection

Theory and Application of Cryptographic Techniques

Optimizing Secure Decision Tree Inference Outsourcing

Outsourcing Private Machine Learning via Lightweight Secure Arithmetic Computation.

Cross-client Label Propagation for Transductive and Semi-Supervised
  Federated Learning

Argus: A Fully Transparent Incentive System for Anti-Piracy Campaigns


JDet is an object detection benchmark based on Jittor. Mainly focus on aerial image object detection (oriented object detection).

MMRotate: A Rotated Object Detection Benchmark using PyTorch

Proceedings of the 30th ACM International Conference on Multimedia

The KFIoU Loss for Rotated Object Detection

H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised
  Oriented Object Detection


Home of the dionaea honeypot

A Survey of Honeypots and Honeynets for Internet of Things, Industrial Internet of Things, and Cyber-Physical Systems

Prevalence of IoT Protocols in Telescopeand Honeypot Measurements

Dataset of intrusion detection alerts from a sharing platform

PHOENI2X – A European Cyber Resilience Framework With Artificial-Intelligence-Assisted Orchestration, Automation & Response Capabilities for Business Continuity and Recovery, Incident Response, and Information Exchange

What are Attackers after on IoT Devices? An approach based on a
  multi-phased multi-faceted IoT honeypot ecosystem and data clustering

Honeypot Implementation in a Cloud Environment

URSID: Using formalism to Refine attack Scenarios for vulnerable
  Infrastructure Deployment


A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.

Generative Trees: Adversarial and Copycat

Yggdrasil Decision Forests: A Fast and Extensible Decision Forests Library

Generative Forests


Real-time Precise Point Positioning with a Xiaomi MI 8 Android Smartphone

RTK with the Assistance of an IMU-Based Pedestrian Navigation Algorithm for Smartphones

Ionosphere-Constrained Single-Frequency PPP with an Android Smartphone and Assessment of GNSS Observations


CLIP-like model evaluation

LAION-5B: An open large-scale dataset for training next generation
  image-text models

LiT: Zero-Shot Transfer with Locked-image text Tuning

Scaling Language-Image Pre-training via Masking

What does a platypus look like? Generating customized prompts for zero-shot image classification

Geodesic Multi-Modal Mixup for Robust Fine-Tuning

CiT: Curation in Training for Effective Vision-Language Data

LOVM: Language-Only Vision Model Selection

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

NLLB-CLIP -- train performant multilingual image retrieval model on a
  budget


PX4 Autopilot Software

The Urban Last Mile Problem: Autonomous Drone Delivery to Your Balcony

Autonomous and Adaptive Navigation for Terrestrial-Aerial Bimodal Vehicles

Model-driven engineering for mobile robotic systems: a systematic mapping study

Avis: In-Situ Model Checking for Unmanned Aerial Vehicles

Search Planning of a UAV/UGV Team With Localization Uncertainty in a Subterranean Environment

Position and Attitude Estimation Method Integrating Visual Odometer and GPS

An UAV-Based Experimental Setup for Propagation Characterization in Urban Environment

IEEE transactions on instrumentation and measurement

Research on Event Accumulator Settings for Event-Based SLAM

Toward Autonomous Rotation-Aware Unmanned Aerial Grasping

Hardware-In-the-Loop Simulation of Time-Delayed Anti-Swing Controller for Quadrotor with Suspended Load


SmartR

Integration and Visualization of Translational Medicine Data for Better Understanding of Human Diseases

SmartR: an open-source platform for interactive visual analytics for translational research data

Data and knowledge management in translational research: implementation of the eTRIKS platform for the IMI OncoTrack consortium


Pipeline for processing FASTQ data from an Illumina MiSeq to genotype human RNA viruses like HIV and hepatitis C

HIV-1 diversity considerations in the application of the Intact Proviral DNA Assay (IPDA)

Performance comparison of next generation sequencing analysis pipelines for HIV-1 drug resistance testing

Role of co-expressed APOBEC3F and APOBEC3G in inducing HIV-1 drug resistance

HIV Proviral Burden, Genetic Diversity, and Dynamics in Viremic Controllers Who Subsequently Initiated Suppressive Antiretroviral Therapy

Quality Control of Next-Generation Sequencing-Based HIV-1 Drug Resistance Data in Clinical Laboratory Information Systems Framework

Dry Panels Supporting External Quality Assessment Programs for Next Generation Sequencing-Based HIV Drug Resistance Testing

Validation of Variant Assembly Using HAPHPIPE with Next-Generation Sequence Data from Viruses

A Bioinformatic Pipeline for Monitoring of the Mutational Stability of Viral Drug Targets with Deep-Sequencing Technology

Molecular Epidemiology of HIV-1 in Ghana: Subtype Distribution, Drug Resistance and Coreceptor Usage

Validation of a Genotype-Independent Hepatitis C Virus Near-Whole Genome Sequencing Assay


Resources for grounding protein families and complexes from text and describing their hierarchical relationships.

FamPlex: a resource for entity recognition and relationship resolution of human protein families and complexes in biomedical text mining

INDRA-IPM: interactive pathway modeling using natural language with automated assembly

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


powderday dust radiative transfer

How Well Can We Measure the Stellar Mass of a Galaxy: The Impact of the Assumed Star Formation History Model in SED Fitting

Small-scale star formation as revealed by VVVX galactic cluster candidates

POWDERDAY: Dust Radiative Transfer for Galaxy Simulations

mirkwood: Fast and Accurate SED Modeling Using Machine Learning

Quenching and the UVJ Diagram in the SIMBA Cosmological Simulation

A Framework for Modeling Polycyclic Aromatic Hydrocarbon Emission in Galaxy Evolution Simulations

Cosmic Sands: The Origin of Dusty, Star-forming Galaxies in the Epoch of Reionization


A pure Python interface to the Raspberry Pi camera module

Raspberry Pi Powered Imaging for Plant Phenotyping

Fidelius: Protecting User Secrets from Compromised Browsers

"Won't We Fix this Issue?" Qualitative Characterization and Automated Identification of Wontfix Issues on GitHub

Flat-Field and Colour Correction for the Raspberry Pi Camera Module

A Robotized Raspberry-Based System for Pothole 3D Reconstruction and Mapping


Official repository of OFA (ICML 2022). Paper: OFA: Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework

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

Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images

Visualize Before You Write: Imagination-Guided Open-Ended Text Generation

Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks
  from The New Yorker Caption Contest

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

You Need Multiple Exiting: Dynamic Early Exiting for Accelerating Unified Vision Language Model

MMSpeech: Multi-modal Multi-task Encoder-Decoder Pre-training for Speech
  Recognition

Improving Selective Visual Question Answering by Learning from Your Peers

IFSeg: Image-free Semantic Segmentation via Vision-Language Model


HYBRID is a modeling toolset to assess the integration and economic viability of Integrated Energy Systems (IES).


Data package: conventional power plants


Reduce end to end training time from days to hours (or hours to minutes), and energy requirements/costs by an order of magnitude using coresets and data selection.

Coresets for Data-efficient Training of Machine Learning Models

GRAD-MATCH: Gradient Matching based Data Subset Selection for Efficient Deep Model Training

Learning From Less Data: A Unified Data Subset Selection and Active Learning Framework for Computer Vision

RETRIEVE: Coreset Selection for Efficient and Robust Semi-Supervised Learning

AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient
  Hyper-parameter Tuning


A tool for estimating the future energy use, carbon emissions, and capital and operating cost impacts of energy efficiency and demand flexibility technologies in the U.S. residential and commercial building sectors.


Automatic metrics for GEM tasks

Large Language Models Can Be Strong Differentially Private Learners

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

BEAMetrics: A Benchmark for Language Generation Evaluation Evaluation

Automatic Construction of Evaluation Suites for Natural Language Generation Datasets

MVP: Multi-task Supervised Pre-training for Natural Language Generation

The Whole Truth and Nothing But the Truth: Faithful and Controllable Dialogue Response Generation with Dataflow Transduction and Constrained Decoding


EVA: An Encrypted Vector Arithmetic Language and Compiler for Efficient Homomorphic Computation

Programming Language Design and Implementation

BTS

A systematic review of homomorphic encryption and its contributions in healthcare industry

FAB: An FPGA-based Accelerator for Bootstrappable Fully Homomorphic Encryption

FLASHE: Additively Symmetric Homomorphic Encryption for Cross-Silo Federated Learning.

Faster Secure Data Mining via Distributed Homomorphic Encryption

ScionFL: Efficient and Robust Secure Quantized Aggregation

Privacy-Preserving Logistic Regression as a Cloud Service Based on Residue Number System

Privacy and Integrity Preserving Computations with CRISP

MPC-Pipe: an Efficient Pipeline Scheme for Secure Multi-party Machine
  Learning Inference


Awesome Remote Sensing Toolkit based on PaddlePaddle.

A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection

Remote Sensing Image Change Detection With Transformers

IEEE transactions on geoscience and remote sensing

A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images

ISPRS journal of photogrammetry and remote sensing

SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images

IEEE geoscience and remote sensing letters

A Transformer-Based Siamese Network for Change Detection

Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery

FCCDN: Feature Constraint Network for VHR Image Change Detection

Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery

Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images

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


Python distribution of the MatLab package UTide

Modelling the barotropic sea level in the Mediterranean Sea using data assimilation

HIDRA2: deep-learning ensemble sea level and storm tide forecasting in the presence of seiches – the case of the northern Adriatic


V-pipe is a pipeline designed for analysing NGS data of short viral genomes

Computational strategies to combat COVID-19: useful tools to accelerate SARS-CoV-2 and coronavirus research

Early detection and surveillance of SARS-CoV-2 genomic variants in wastewater using COJAC

V-pipe: a computational pipeline for assessing viral genetic diversity from high-throughput data

V-pipe: a computational pipeline for assessing viral genetic diversity from high-throughput sequencing data

VGEA: an RNA viral assembly toolkit

Sequencing of SARS-CoV-2 RNA Fragments in Wastewater Detects the Spread of New Variants during Major Events


Docker-based utility for testing network failures and partitions in distributed applications

Observability and chaos engineering on system calls for containerized applications in Docker

SwarmDAG: A Partition Tolerant Distributed Ledger Protocol for Swarm Robotics

CLOTHO: Directed Test Generation for Weakly Consistent Database Systems

Mutations and the Development of Anti-viral Resistance


The posterior R package

Hamiltonian Monte Carlo using an adjoint-differentiated Laplace approximation: Bayesian inference for latent Gaussian models and beyond

Simulating Ising and Potts models at critical and cold temperatures
  using auxiliary Gaussian variables


Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).

SmoothGrad: removing noise by adding noise

Toward Trustworthy AI Development: Mechanisms for Supporting Verifiable Claims

XRAI: Better Attributions Through Regions

A Survey of Deep Learning for Scientific Discovery

Guided Integrated Gradients: An Adaptive Path Method for Removing Noise

Attribution in Scale and Space

Detection of signs of disease in external photographs of the eyes via deep learning

Shared Interest: Measuring Human-AI Alignment to Identify Recurring Patterns in Model Behavior

Maximally Invariant Data Perturbation as Explanation

Robust Domain-Free Domain Generalization with Class-aware Alignment


A Python library for reading, validating, and writing transit schedule information in the GTFS format.

Multimodal urban mobility and multilayer transport networks

Unavailable Transit Feed Specification: Making It Available With Recurrent Neural Networks

IEEE transactions on intelligent transportation systems


Annotation-free quantification of RNA splicing. Yang I. Li, David A. Knowles, Jack Humphrey, Alvaro N. Barbeira, Scott P. Dickinson, Hae Kyung Im, Jonathan K. Pritchard

Integrative transcriptome analyses of the aging brain implicate altered splicing in Alzheimer’s disease susceptibility

Molecular and functional variation in iPSC-derived sensory neurons

LeafCutter: annotation-free quantification of RNA splicing

Splicing QTL analysis focusing on coding sequences reveals mechanisms for disease susceptibility loci

High-Throughput Sequencing in Respiratory, Critical Care, and Sleep Medicine Research. An Official American Thoracic Society Workshop Report

Implications of Antigen Selection on T Cell-Based Immunotherapy

Integrative proteogenomics for differential expression and splicing variation in a DM1 mouse model


A list of all named GANs!

Image Segmentation Using Deep Learning: A Survey

A Review on Generative Adversarial Networks: Algorithms, Theory, and Applications

CapsuleGAN: Generative Adversarial Capsule Network

Biometrics recognition using deep learning: a survey

Deep learning in electron microscopy

Machine learning: science and technology

Adversarial Training in Affective Computing and Sentiment Analysis: Recent Advances and Perspectives

Semi-Supervised Learning for Seismic Impedance Inversion Using Generative Adversarial Networks

Dialectical GAN for SAR Image Translation: From Sentinel-1 to TerraSAR-X

A Tutorial on Deep Latent Variable Models of Natural Language

Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review


Directed Greybox Fuzzing with AFL

SAVIOR: Towards Bug-Driven Hybrid Testing

FuzzFactory: domain-specific fuzzing with waypoints

Proceedings of the ACM on programming languages

Binary-level Directed Fuzzing for Use-After-Free Vulnerabilities

MC2

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security

RDFuzz: Accelerating Directed Fuzzing with Intertwined Schedule and Optimized Mutation

FastAFLGo: Toward a Directed Greybox Fuzzing

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


scikit-fmm is a Python extension module which implements the fast marching method.

Physical interactions reduce the power of natural selection in growing yeast colonies

Workspace Aware Online Grasp Planning

StorSeismic: A New Paradigm in Deep Learning for Seismic Processing

A new framework for experimental design using Bayesian Evidential Learning: the case of wellhead protection area

Break: Bronchi Reconstruction by Geodesic Transformation and Skeleton Embedding

MORPHOLOGICAL MODELING OF COLD SPRAY COATINGS

Renderable Neural Radiance Map for Visual Navigation

Transfer learning for self-supervised, blind-spot seismic denoising

Orinoco: Retrieving a River Delta Network with the Fast Marching Method and Python

ISPRS international journal of geo-information

The collective effect of finite-sized inhomogeneities on the spatial spread of populations in two dimensions


HAWC Accelerated Likelihood - python-only framework for HAWC data analysis

Probing the Sea of Cosmic Rays by Measuring Gamma-Ray Emission from Passive Giant Molecular Clouds with HAWC

A search for spectral hardening in HAWC sources above 56 TeV

The gamma-ray emission from 3HWC J1928+178

The Ultra-High-Energy Source MGRO J1908+06


Using global reanalyses for permafrost simulation

GlobSim (v1.0): deriving meteorological time series for point locations from multiple global reanalyses


Phylogenetic ANalyses of DiversificAtion

Estimating the Effect of Competition on Trait Evolution Using Maximum Likelihood Inference

Estimating Diversity Through Time using Molecular Phylogenies: Old and Species-Poor Frog Families are the Remnants of a Diverse Past


Development of the Ocean Data and Information System (ODIS) architecture


R package for MetaboAnalyst

MetaboAnalystR 2.0: From Raw Spectra to Biological Insights

Snow algae communities in Antarctica: metabolic and taxonomic composition

Compartmentalized metabolism supports midgestation mammalian development

CRISPR/Cas9-Mediated Targeted Mutagenesis of GmUGT Enhanced Soybean Resistance Against Leaf-Chewing Insects Through Flavonoids Biosynthesis

Widely Targeted Metabolomics Analysis of Soybean and Chickpea and Their Different Advantages and New Functional Compounds for Diabetes

Metabolomic Profiles of Multidrug-Resistant Salmonella Typhimurium from Humans, Bovine, and Porcine Hosts

Animals : an open access journal from MDPI

Plasma metabolic disturbances during pregnancy and postpartum in women with depression

Phytochemical analysis of Ziziphus jujube leaf at different foliar ages based on widely targeted metabolomics

Integrated Transcriptome and Metabolome Analysis of Salinity Tolerance in Response to Foliar Application of β-Alanine in Cotton Seedlings

Comparative analysis of the metabolites in Pinellia ternata from two producing regions using ultra-high-performance liquid chromatography–electrospray ionization–tandem mass spectrometry


bids application for processing functional MRI data, robust to scanner, acquisition and age variability.

The minimal preprocessing pipelines for the Human Connectome Project

Reproducible brain-wide association studies require thousands of individuals

The Insight ToolKit image registration framework

Correction of respiratory artifacts in MRI head motion estimates

FBNetGen: Task-aware GNN-based fMRI Analysis via Functional Brain Network Generation.

BrainGB: A Benchmark for Brain Network Analysis with Graph Neural
  Networks

Moving Beyond Processing and Analysis-Related Variation in Neuroscience

Functional connectome through the human life span

bioRxiv : the preprint server for biology

The positive-negative mode link between brain connectivity,
  demographics, and behavior: A pre-registered replication of Smith et al. 2015

Dissociation of reliability, heritability, and predictivity in coarse- and fine-scale functional connectomes during development

The journal of neuroscience/The Journal of neuroscience


:bar_chart: Benchmark multiple object trackers (MOT) in Python

MOT16: A Benchmark for Multi-Object Tracking

Quasi-Dense Similarity Learning for Multiple Object Tracking

SLEAP: A deep learning system for multi-animal pose tracking

RetinaTrack: Online Single Stage Joint Detection and Tracking

Multi-animal pose estimation, identification and tracking with DeepLabCut

SimpleTrack: Understanding and Rethinking 3D Multi-object Tracking

Occlusion-Robust Online Multi-Object Visual Tracking using a GM-PHD Filter with CNN-Based Re-Identification

QDTrack: Quasi-Dense Similarity Learning for Appearance-Only Multiple Object Tracking

Real-time 3D Deep Multi-Camera Tracking

Motion-compensated online object tracking for activity detection and crowd behavior analysis


A General-Purpose Tool for Formal Concept Analysis

Knowledge cores in large formal contexts

FCA2VEC: Embedding Techniques for Formal Concept Analysis

Drawing Order Diagrams Through Two-Dimension Extension

Detecting Important Patterns Using Conceptual Relevance Interestingness
  Measure


ETNA – Time-Series Library

DeepAR: Probabilistic Forecasting with Autoregressive Recurrent Networks

Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting

N-BEATS: Neural basis expansion analysis for interpretable time series forecasting

Deep State Space Models for Time Series Forecasting

A Time Series is Worth 64 Words: Long-term Forecasting with Transformers


Creative Commons Attribution Share Alike 4.0 International

SimulEval: A General Evaluation Toolkit for Simultaneous Translation

Streaming Simultaneous Speech Translation with Augmented Memory Transformer

Information-Transport-based Policy for Simultaneous Translation

An Empirical Study of End-to-end Simultaneous Speech Translation
  Decoding Strategies

End-to-End Simultaneous Speech Translation with Differentiable Segmentation

TransLLaMa: LLM-based Simultaneous Translation System

The Xiaomi AI Lab’s Speech Translation Systems for IWSLT 2023 Offline Task, Simultaneous Task and Speech-to-Speech Task

Proceedings of the 20th International Conference on Spoken Language Translation (IWSLT 2023)

Implicit Memory Transformer for Computationally Efficient Simultaneous Speech Translation


MITIE: library and tools for information extraction

A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces

Incorporating Trustiness and Collective Synonym/Contrastive Evidence into Taxonomy Construction

Empirical Methods in Natural Language Processing

Adaptive Geoparsing Method for Toponym Recognition and Resolution in Unstructured Text

GeoAnnotator: A Collaborative Semi-Automatic Platform for Constructing Geo-Annotated Text Corpora

Antibody Exchange: Information Extraction of Biological Antibody Donation and a Web-Portal to Find Donors and Seekers

International Conference on Data Technologies and Applications

Query Interpretations from Entity-Linked Segmentations


TADbit is a complete Python library to deal with all steps to analyze, model and explore 3C-based data. With TADbit the user can map FASTQ files to obtain raw interaction binned matrices (Hi-C like matrices), normalize and correct interaction matrices, identify and compare the so-called Topologically Associating Domains (TADs), build 3D models from the interaction matrices, and finally, extract structural properties from the models. TADbit is complemented by TADkit for visualizing 3D models

Automatic analysis and 3D-modelling of Hi-C data using TADbit reveals structural features of the fly chromatin colors

Distinct roles of cohesin-SA1 and cohesin-SA2 in 3D chromosome organization

Impact of DNA methylation on 3D genome structure

Transcriptional activation during cell reprogramming correlates with the formation of 3D open chromatin hubs

Global chromatin conformation differences in the Drosophila dosage compensated chromosome X

Spatial organization of chromosomes leads to heterogeneous chromatin motion and drives the liquid- or gel-like dynamical behavior of chromatin

Application of Hi-C and other omics data analysis in human cancer and cell differentiation research

Computational and structural biotechnology journal


Mirror of Apache PDFBox

Mining Fix Patterns for FindBugs Violations

A comprehensive study of pseudo-tested methods

Improving the Accessibility of Scientific Documents: Current State, User Needs, and a System Solution to Enhance Scientific PDF Accessibility for Blind and Low Vision Users

Active Learning of Discriminative Subgraph Patterns for API Misuse Detection

IEEE transactions on software engineering

Production Monitoring to Improve Test Suites

Graph Neural Networks and Representation Embedding for Table Extraction in PDF Documents

Flaky Test Sanitisation via On-the-Fly Assumption Inference for Tests with Network Dependencies

Information Extraction from Visually Rich Documents with Font Style Embeddings


Tooling for GANs in TensorFlow

Flow Matching for Generative Modeling

Generative Models for Effective ML on Private, Decentralized Datasets

Is Attention Better Than Matrix Decomposition?

Multisample Flow Matching: Straightening Flows with Minibatch Couplings

Group Equivariant Generative Adversarial Networks

Scientific Discovery by Generating Counterfactuals using Image Translation

Conditional Generation of Medical Images via Disentangled Adversarial Inference

GANMEX: One-vs-One Attributions using GAN-based Model Explainability

Improving Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architectures

ParGAN: Learning Real Parametrizable Transformations


an imagenet example in torch.

OverFeat: Integrated Recognition, Localization and Detection using Convolutional Networks

Learning Deep Representations of Fine-grained Visual Descriptions

Parametric Exponential Linear Unit for Deep Convolutional Neural Networks

Comparative Study of Deep Learning Software Frameworks

PowerAI DDL

Efficient Training of Convolutional Neural Nets on Large Distributed Systems


Text-to-3D & Image-to-3D & Mesh Exportation with NeRF + Diffusion.

DreamFusion: Text-to-3D using 2D Diffusion

ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with
  Variational Score Distillation

Score Jacobian Chaining: Lifting Pretrained 2D Diffusion Models for 3D Generation

Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures

RealFusion 360° Reconstruction of Any Object from a Single Image

Magic123: One Image to High-Quality 3D Object Generation Using Both 2D
  and 3D Diffusion Priors

DreamGaussian: Generative Gaussian Splatting for Efficient 3D Content
  Creation

Objaverse-XL: A Universe of 10M+ 3D Objects

DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via
  Diffusion Models

Re-imagine the Negative Prompt Algorithm: Transform 2D Diffusion into
  3D, alleviate Janus problem and Beyond


Vector Particle-In-Cell (VPIC) Project

Magnetic Energy Release, Plasma Dynamics, and Particle Acceleration in Relativistic Turbulent Magnetic Reconnection

First-principles theory of the rate of magnetic reconnection in magnetospheric and solar plasmas

A drift kinetic model for the expander region of a magnetic mirror

Astrophysical explosions revisited: collisionless coupling of debris to magnetized plasma

The force balance of electrons during kinetic anti-parallel magnetic reconnection

2D Reconstruction of Magnetotail Electron Diffusion Region Measured by MMS

A drift-kinetic method for obtaining gradients in plasma properties from single-point distribution function data

Journal of geophysical research. Space physics


Interface to the Global Biodiversity Information Facility API

Ligustrum lucidum W. T. Aiton (broad-leaf privet) demonstrates climatic niche shifts during global-scale invasion

The ghosts of forests past and future: deforestation and botanical sampling in the Brazilian Amazon

Adaptive evolution of seed oil content in angiosperms: accounting for the global patterns of seed oils

Explicit integration of dispersal-related metrics improves predictions of SDM in predatory arthropods

A preliminary inventory of the catfishes of the lower Rio Nhamundá, Brazil (Ostariophysi, Siluriformes)

Color and morphological differentiation in the Sinaloa Wren (Thryophilus sinaloa) in the tropical dry forests of Mexico: The role of environment and geographic isolation

IMPACT OF CLIMATE CHANGE ON THE GEOGRAPHICAL DISTRIBUTION OF A CLOUD FOREST INDICATOR TREE SPECIES

A Global Assessment of Tourism and Recreation Conservation Threats to Prioritise Interventions

SDMdata: A Web-Based Software Tool for Collecting Species Occurrence Records

Climate based model in determining the distribution pattern of Cecropia peltata L across global landscape

IOP conference series. Earth and environmental science


A python library for quantum information and many-body calculations including tensor networks.

quimb: A python package for quantum information and many-body calculations

Variational Power of Quantum Circuit Tensor Networks

HybridQ: A Hybrid Simulator for Quantum Circuits

Efficient Classical Computation of Quantum Mean Values for Shallow QAOA
  Circuits


Unified Complex Network and Recurrence Analysis Toolbox

Unified functional network and nonlinear time series analysis for complex systems science: The pyunicorn package

EGU General Assembly Conference Abstracts

A climate network‐based index to discriminate different types of El Niño and La Niña

Spatial network surrogates for disentangling complex system structure from spatial embedding of nodes

Hierarchical structures in Northern Hemispheric extratropical winter ocean-atmosphere interactions

Clustered marginalization of minorities during social transitions induced by co-evolution of behaviour and network structure

Detecting dynamical anomalies in time series from different palaeoclimate proxy archives using windowed recurrence network analysis

A climate network perspective on the intertropical convergence zone

A biomarker discovery framework for childhood anxiety


Beyond Accuracy: Behavioral Testing of NLP models with CheckList

Quantifying Social Biases in NLP: A Generalization and Empirical Comparison of Extrinsic Fairness Metrics

Perturbation CheckLists for Evaluating NLG Evaluation Metrics

Fairness Testing: A Comprehensive Survey and Analysis of Trends

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

On the Blind Spots of Model-Based Evaluation Metrics for Text Generation

Probing Speech Emotion Recognition Transformers for Linguistic Knowledge

On Robustness and Bias Analysis of BERT-Based Relation Extraction

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

Trusting RoBERTa over BERT: Insights from CheckListing the Natural
  Language Inference Task


NASA Astrobee Robot Software

Online Information-Aware Motion Planning with Inertial Parameter Learning for Robotic Free-Flyers

Multi-Agent 3D Map Reconstruction and Change Detection in Microgravity
  with Free-Flying Robots


RL implementations

The StarCraft Multi-Agent Challenge

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

MAVEN: Multi-Agent Variational Exploration

Deep Coordination Graphs

Eureka: Human-Level Reward Design via Coding Large Language Models

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

Transferring Dexterous Manipulation from GPU Simulation to a Remote Real-World TriFinger

EnvPool: A Highly Parallel Reinforcement Learning Environment Execution
  Engine

Benchmarking Offline Reinforcement Learning on Real-Robot Hardware

DexPBT: Scaling up Dexterous Manipulation for Hand-Arm Systems with Population Based Training


The Harmonized Emissions Component (HEMCO), developed by the GEOS-Chem Support Team.


Prototype Fortran 2008 engine for the EPA Storm Water Management Model (SWMM)


FORCE11 Software Citation Implementation Working Group

Towards FAIR principles for research software

FAIR Computational Workflows

Zenodo (CERN European Organization for Nuclear Research)

From FAIR research data toward FAIR and open research software

Recognizing the value of software: a software citation guide [version 2; peer review: 2 approved]

Taking a fresh look at FAIR for research software

Software Citation Implementation Challenges

Nine best practices for research software registries and repositories

SciCodes: Astronomy Research Software and Beyond


R package to simulate neutral landscape models


EasyTransfer is designed to make the development of transfer learning in NLP applications easier.

FashionBERT: Text and Image Matching with Adaptive Loss for Cross-modal Retrieval

Kaleido-BERT: Vision-Language Pre-training on Fashion Domain

AdaBERT: Task-Adaptive BERT Compression with Differentiable Neural Architecture Search

Meta-KD: A Meta Knowledge Distillation Framework for Language Model Compression across Domains

Deep Transfer Learning for Automatic Speech Recognition: Towards Better
  Generalization

EasyNLP: A Comprehensive and Easy-to-use Toolkit for Natural Language Processing

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


A Python toolkit for lattice field theory, quantum computing, and machine learning

An update of Euclidean windows of the hadronic vacuum polarization

Grid on QPACE 4

Pseudo-scalar meson spectral properties in the chiral crossover region
  of QCD

Isospin 0 and 2 two-pion scattering at physical pion mass using
  distillation with periodic boundary conditions in lattice QCD


Awesome Dataset Distillation Papers

Optimizing Millions of Hyperparameters by Implicit Differentiation

Dataset Condensation with Gradient Matching

Dataset Distillation

Dataset Distillation by Matching Training Trajectories

Dataset Condensation with Differentiable Siamese Augmentation

Dataset Meta-Learning from Kernel Ridge-Regression

Dataset Distillation with Infinitely Wide Convolutional Networks

Dataset Condensation with Distribution Matching

Generative Teaching Networks: Accelerating Neural Architecture Search by Learning to Generate Synthetic Training Data

CAFE: Learning to Condense Dataset by Aligning Features


Digital Design with Chisel

Open-Source Verification with Chisel and Scala

Deep Learning Accelerators’ Configuration Space Exploration Effect on Performance and Resource Utilization: A Gemmini Case Study


Digital Twins Definition Language

Digital Twin and Internet of Things—Current Standards Landscape

Towards Integrated Digital Twins for Industrial Products: Case Study on an Overhead Crane

Twinbase: Open-Source Server Software for the Digital Twin Web

An approach for leveraging Digital Twins in agent-based production systems

Enabling Preventive Conservation of Historic Buildings Through Cloud-Based Digital Twins: A Case Study in the City Theatre, Norrköping

Proposal of Mapping Digital Twins Definition Language to Open Platform Communications Unified Architecture


15MW reference wind turbine repository developed in conjunction with IEA Wind

Structural Optimisation of Offshore Direct-Drive Wind Turbine Generators Including Static and Dynamic Analyses


Fast & scalable MCMC for all your exoplanet needs!

A planet within the debris disk around the pre-main-sequence star AU Microscopii

exoplanet: Gradient-based probabilistic inference for exoplanet data other astronomical time series

Analytic Planetary Transit Light Curves and Derivatives for Stars with Polynomial Limb Darkening

EXOFASTv2: A public, generalized, publication-quality exoplanet modeling code

Statistical analysis of Curiosity data shows no evidence for a strong seasonal cycle of martian methane

A Fast, Two-dimensional Gaussian Process Method Based on Celerite: Applications to Transiting Exoplanet Discovery and Characterization

The Dark World: A Tale of WASP-43b in Reflected Light with HST WFC3/UVIS

Giant Outer Transiting Exoplanet Mass (GOT ‘EM) Survey. I. Confirmation of an Eccentric, Cool Jupiter with an Interior Earth-sized Planet Orbiting Kepler-1514

MCMCI: A code to fully characterise an exoplanetary system

SPInS, a pipeline for massive stellar parameter inference: A public Python tool to age-date, weigh, size up stars, and more


Python implementation of the TT-Toolbox

Exponential Machines

Computation of extreme eigenvalues in higher dimensions using block tensor train format

Tensor Train decomposition on TensorFlow (T3F)

Approximation and sampling of multivariate probability distributions in the tensor train decomposition

Calculating vibrational spectra of molecules using tensor train decomposition

Sobol Tensor Trains for Global Sensitivity Analysis

Tensor Train polynomial models via Riemannian optimization

Ergodic Exploration Using Tensor Train: Applications in Insertion Tasks

Solution of the Fokker-Planck equation by cross approximation method in
  the tensor train format

Low-rank Riemannian eigensolver for high-dimensional Hamiltonians


Complete Matlab pipeline for large scale calcium imaging data analysis

Suite2p: beyond 10,000 neurons with standard two-photon microscopy

Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data

Two-photon calcium imaging of the medial prefrontal cortex and hippocampus without cortical invasion

Engineered AAVs for non-invasive gene delivery to rodent and non-human primate nervous systems

The essential role of recurrent processing for figure-ground perception in mice

HNCcorr: A Novel Combinatorial Approach for Cell Identification in Calcium-Imaging Movies

Fast wide-volume functional imaging of engineered in vitro brain tissues

Multiplane Calcium Imaging Reveals Disrupted Development of Network Topology in Zebrafish pcdh19 Mutants

Activity-dependent organization of prefrontal hub-networks for associative learning and signal transformation


Python port of SymSpell: 1 million times faster spelling correction & fuzzy search through Symmetric Delete spelling correction algorithm

PyThaiNLP: Thai Natural Language Processing in Python

p3k14c, a synthetic global database of archaeological radiocarbon dates

Bidirectional Recurrent Models for Offensive Tweet Classification

Incremental Improvement of a Question Answering System by Re-ranking Answer Candidates using Machine Learning

Improving Word Recognition in Speech Transcriptions by Decision-level Fusion of Stemming and Two-way Phoneme Pruning

Weakly Supervised Learning for Categorization of Medical Inquiries for Customer Service Effectiveness

Frontiers in research metrics and analytics

German Parliamentary Corpus (GerParCor)

Cognitive Relevance Transform for Population Re-Targeting


Linear Collider I/O

The International Linear Collider: Report to Snowmass 2021

HAL (Le Centre pour la Communication Scientifique Directe)

ILC Study Questions for Snowmass 2021

Performance of Julia for High Energy Physics Analyses

Strange quark as a probe for new physics in the Higgs sector

The mini-DST: a high-level LCIO format


Python Blob Detector and Source Finder

Unveiling the rarest morphologies of the LOFAR Two-metre Sky Survey radio source population with self-organised maps

CHANG-ES XII: A LOFAR and VLA view of the edge-on star-forming galaxy NGC 3556

Deep LOFAR 150 MHz imaging of the Boötes field: Unveiling the faint low-frequency sky

The eROSITA Final Equatorial-Depth Survey (eFEDS): LOFAR view of brightest cluster galaxies and AGN feedback

Nature of the unusual transient AT 2018cow from HI observations of its host galaxy

MeerKATHI -- an end-to-end data reduction pipeline for MeerKAT and other
  radio telescopes

Radio source-component association for the LOFAR Two-metre Sky Survey with region-based convolutional neural networks

The contribution of non-central radio galaxies to AGN feedback in rich galaxy clusters

Monthly Notices of the Royal Astronomical Society

A search for intercluster filaments with LOFAR and eROSITA

Radio-frequency WIMP search with the MeerKAT galaxy cluster legacy survey


Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts

Language Models are Unsupervised Multitask Learners

Patent Claim Generation by Fine-Tuning OpenAI GPT-2

Authorship Attribution for Neural Text Generation

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

Do Language Models Plagiarize?

The Chess Transformer: Mastering Play using Generative Language Models

Employing Argumentation Knowledge Graphs for Neural Argument Generation

Meeting of the Association for Computational Linguistics

Transformer-Based Deep Neural Language Modeling for Construct-Specific Automatic Item Generation

Harnessing Artificial Intelligence for Health Message Generation: The Folic Acid Message Engine

The Go Transformer: Natural Language Modeling for Game Play

Items from Psychometric Tests as Training Data for Personality Profiling Models of Twitter Users


Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also support StyleGAN2, DFDNet.

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

SwinIR: Image Restoration Using Swin Transformer

Recovering Realistic Texture in Image Super-resolution by Deep Spatial Feature Transform

BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond

GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution

SynFi: Automatic Synthetic Fingerprint Generation

Rethinking Alignment in Video Super-Resolution Transformers

GLEAN: Generative Latent Bank for Image Super-Resolution and Beyond

Semantic-guided Multi-Mask Image Harmonization

A Unified Conditional Framework for Diffusion-based Image Restoration


An npm module for accessing the green web API, and estimating the carbon emissions from using digital services


Julia implementation for various Frank-Wolfe and Conditional Gradient variants

Learning with Combinatorial Optimization Layers: a Probabilistic Approach

Interpretable Neural Networks with Frank-Wolfe: Sparse Relevance Maps and Relevance Orderings


Bluetooth experimentation framework for Broadcom and Cypress chips.

InternalBlue - Bluetooth Binary Patching and Experimentation Framework

International Conference on Mobile Systems, Applications, and Services

Inside Job: Diagnosing Bluetooth Lower Layers Using Off-the-Shelf Devices

Firmware Insider: Bluetooth Randomness is Mostly Random

Attacks on Wireless Coexistence: Exploiting Cross-Technology Performance Features for Inter-Chip Privilege Escalation


Nanopore sequencing and assembly of a human genome with ultra-long reads

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

Comparative Annotation Toolkit (CAT)—simultaneous clade and personal genome annotation


List of satellite image training datasets with annotations for computer vision and deep learning

SEN12MS -- A Curated Dataset of Georeferenced Multi-Spectral Sentinel-1/2 Imagery for Deep Learning and Data Fusion

Overhead MNIST: A Benchmark Satellite Dataset

Tinto: Multisensor Benchmark for 3D Hyperspectral Point Cloud
  Segmentation in the Geosciences

Channel Vision Transformers: An Image Is Worth C x 16 x 16 Words


An offline deep reinforcement learning library

Off-Policy Deep Reinforcement Learning without Exploration

Conservative Q-Learning for Offline Reinforcement Learning

Decision Transformer: Reinforcement Learning via Sequence Modeling

Stabilizing Off-Policy Q-Learning via Bootstrapping Error Reduction

Offline Reinforcement Learning with Implicit Q-Learning

PLAS: Latent Action Space for Offline Reinforcement Learning

Human-to-Robot Imitation in the Wild

RAMBO-RL: Robust Adversarial Model-Based Offline Reinforcement Learning

Hybrid RL: Using Both Offline and Online Data Can Make RL Efficient

Offline Reinforcement Learning with Reverse Model-based Imagination


Athena++ radiation GRMHD code and adaptive mesh refinement (AMR) framework

The Launching of Cosmic Ray Driven Outflows

The Athena++ Adaptive Mesh Refinement Framework: Multigrid Solvers for Self-gravity

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

Dust ring and gap formation by gas flow induced by low-mass planets embedded in protoplanetary disks

Spin of protoplanets generated by pebble accretion: Influences of protoplanet-induced gas flow

The Prospects for Hurricane-like Vortices in Protoplanetary Disks

Implementation of Chemistry in the Athena++ Code

Analytic description of the gas flow around planets embedded in protoplanetary disks

The Evolution of Accreting Binaries: from Brown Dwarfs to Supermassive
  Black Holes


Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

PyGAD: An Intuitive Genetic Algorithm Python Library

ZOOpt: a toolbox for derivative-free optimization

Prototype-based Counterfactual Explanation for Causal Classification.


Darwin Core standard for sharing of information about biological diversity.

Integrating and visualizing primary data from prospective and legacy taxonomic literature

TR-Model. A Metadata Profile Application for Personal Data Transparency

Taxonaut: an application software for comparative display of multiple taxonomies with a use case of GBIF Species API

Aligning Standards Communities for Omics Biodiversity Data: Sustainable Darwin Core-MIxS Interoperability


CodeBERT

CodeBERT: A Pre-Trained Model for Programming and Natural Languages

CodeSearchNet Challenge: Evaluating the State of Semantic Code Search

GraphCodeBERT: Pre-training Code Representations with Data Flow

UniXcoder: Unified Cross-Modal Pre-training for Code Representation

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

CoSQA: 20,000+ Web Queries for Code Search and Question Answering

Automating Code Review Activities by Large-Scale Pre-training

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

Multilingual training for Software Engineering

A Search-Based Testing Framework for Deep Neural Networks of Source Code Embedding


TT

Normalization for multimodal type theory

Logical Relations as Types: Proof-Relevant Parametricity for Program Modules

An inductive-recursive universe generic for small families

Domain Theory in Constructive and Predicative Univalent Foundations

Cubical methods in homotopy type theory and univalent foundations

Mathematical Structures in Computer Science

Formalizing π4(S3) ≅Z/2Z and Computing a Brunerie Number in Cubical Agda


Intel:registered: Homomorphic Encryption Acceleration Library accelerates modular arithmetic operations used in homomorphic encryption

Intel HEXL: Accelerating Homomorphic Encryption with Intel AVX512-IFMA52.

FDFB: Full Domain Functional Bootstrapping Towards Practical Fully Homomorphic Encryption

Accelerating Encrypted Computing on Intel GPUs

Verifiable Fully Homomorphic Encryption

CryptoTL: Private, Efficient and Secure Transfer Learning

SoK: Fully Homomorphic Encryption Accelerators


A list of backdoor learning resources

Backdoor Learning: A Survey

Februus: Input Purification Defense Against Trojan Attacks on Deep Neural Network Systems

Composite Backdoor Attack for Deep Neural Network by Mixing Existing Benign Features

Conference on Computer and Communications Security

Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review.

BadNL: Backdoor Attacks against NLP Models with Semantic-preserving Improvements

Disabling Backdoor and Identifying Poison Data by using Knowledge Distillation in Backdoor Attacks on Deep Neural Networks

Proceedings of the 13th ACM Workshop on Artificial Intelligence and Security

BlindNet backdoor: Attack on deep neural network using blind watermark

Anti-Distillation Backdoor Attacks: Backdoors Can Really Survive in Knowledge Distillation

Backdoors hidden in facial features: a novel invisible backdoor attack against face recognition systems

Peer-to-peer networking and applications

Backdoor Attacks on Image Classification Models in Deep Neural Networks


Gives criticality score for an open source project

An Empirical Study on the Use of Static Analysis Tools in Open Source
  Embedded Software

Towards a Critical Open-Source Software Database


UVDAR is a system for mutual UAV localization using Ultra-Violet LED blinkers. This package contains the core software for using it onboard of MAVs (drones)

The MRS UAV System: Pushing the Frontiers of Reproducible Research, Real-world Deployment, and Education with Autonomous Unmanned Aerial Vehicles

Journal of intelligent & robotic systems

MRS Modular UAV Hardware Platforms for Supporting Research in Real-World Outdoor and Indoor Environments

International Conference on Unmanned Aircraft Systems

MRS Drone: A Modular Platform for Real-World Deployment of Aerial Multi-Robot Systems


MATLAB / Octave tools for BIDS datasets

Open and reproducible neuroimaging: From study inception to publication

PET-BIDS, an extension to the brain imaging data structure for positron emission tomography

BIDS-EEG: an extension to the Brain Imaging Data Structure (BIDS) Specification for electroencephalography

Neural and physiological data from participants listening to affective music

Intracranial electrophysiological recordings from the human brain during memory tasks with pupillometry


Tools for working with genomic and high throughput sequencing data.

Clinical impact of panel-based error-corrected next generation sequencing versus flow cytometry to detect measurable residual disease (MRD) in acute myeloid leukemia (AML)

Targeted genome fragmentation with CRISPR/Cas9 enables fast and efficient enrichment of small genomic regions and ultra-accurate sequencing with low DNA input (CRISPR-DS)

Circulating Cell-Free DNA Profiling Predicts the Therapeutic Outcome in Advanced Hepatocellular Carcinoma Patients Treated with Combination Immunotherapy

Mismatch repair deficiency is not sufficient to elicit tumor immunogenicity

Phylogenomics reveals multiple introductions and early spread of SARS-CoV-2 into Peru

CLIP and Massively Parallel Functional Analysis of CELF6 Reveal a Role in Destabilizing Synaptic Gene mRNAs through Interaction with 3′ UTR Elements

Rapid and highly-specific generation of targeted DNA sequencing libraries enabled by linking capture probes with universal primers

Footprints of natural selection at the mannose-6-phosphate isomerase locus in barnacles

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

Performance evaluation of commercial library construction kits for PCR-based targeted sequencing using a unique molecular identifier

Deep oncopanel sequencing reveals within block position-dependent quality degradation in FFPE processed samples


User manual and example notebooks for the pytket quantum SDK

t|ket⟩: a retargetable compiler for NISQ devices

On the qubit routing problem

Theory of Quantum Computation, Communication, and Cryptography

Phase Gadget Synthesis for Shallow Circuits

QNLP in Practice: Running Compositional Models of Meaning on a Quantum Computer

Quantum Natural Language Processing on Near-Term Quantum Computers

Optimality Study of Existing Quantum Computing Layout Synthesis Tools

lambeq: An Efficient High-Level Python Library for Quantum NLP

Grammar-aware sentence classification on quantum computers

Qubit Mapping Based on Subgraph Isomorphism and Filtered Depth-Limited Search

Arline Benchmarks: Automated Benchmarking Platform for Quantum Compilers


Neural Network Verification Software Tool

Algorithms for Verifying Deep Neural Networks

Verification of Deep Convolutional Neural Networks Using ImageStars

The Second International Verification of Neural Networks Competition (VNN-COMP 2021): Summary and Results

Improved Geometric Path Enumeration for Verifying ReLU Neural Networks

A Review of Formal Methods applied to Machine Learning

Robustness Verification of Semantic Segmentation Neural Networks Using Relaxed Reachability

Formal Certification Methods for Automated Vehicle Safety Assessment

Reachability Analysis of a General Class of Neural Ordinary Differential Equations

The Fourth International Verification of Neural Networks Competition
  (VNN-COMP 2023): Summary and Results


HiC-Pro: An optimized and flexible pipeline for Hi-C data processing

HiC-Pro: an optimized and flexible pipeline for Hi-C data processing

The second decade of 3C technologies: detailed insights into nuclear organization

Analysis methods for studying the 3D architecture of the genome

A mini foxtail millet with an Arabidopsis-like life cycle as a C4 model system

Histone hyperacetylation disrupts core gene regulatory architecture in rhabdomyosarcoma

Enhancer–promoter interactions and transcription are largely maintained upon acute loss of CTCF, cohesin, WAPL or YY1

De novo assembly of a wild pear (Pyrus betuleafolia) genome

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

Cohesin residency determines chromatin loop patterns

The Welwitschia genome reveals a unique biology underpinning extreme longevity in deserts


Official data on the COVID-19 epidemic in Malaysia. Powered by CPRC, CPRC Hospital System, MKAK, and MySejahtera.

Risk of serious adverse events after the BNT162b2, CoronaVac, and ChAdOx1 vaccines in Malaysia: A self-controlled case series study

The Prevalence and Work-Related Factors of Burnout Among Public Health Workforce During the COVID-19 Pandemic

Journal of occupational and environmental medicine

Characterisation of COVID-19 deaths by vaccination types and status in Malaysia between February and September 2021

The Lancet regional health. Western Pacific

Assessment of Heterologous and Homologous Boosting With Inactivated COVID-19 Vaccine at 3 Months Compared With Homologous Boosting of BNT162b2 at 6 Months

Investigating Linkages Between Spatiotemporal Patterns of the COVID-19 Delta Variant and Public Health Interventions in Southeast Asia: Prospective Space-Time Scan Statistical Analysis Method

Incidence, Prevalence, and Sources of COVID-19 Infection among Healthcare Workers in Hospitals in Malaysia

International journal of environmental research and public health

Estimating the COVID-19 mortality burden over two full years of the pandemic in Malaysia

A network analysis and support vector regression approaches for visualising and predicting the COVID-19 outbreak in Malaysia

Dearth of influenza among older adults admitted with respiratory symptoms in Malaysia during the coronavirus disease 2019 pandemic in 2021

A brief analysis of the COVID-19 death data in Malaysia


NaturalCC: An Open-Source Toolkit for Code Intelligence

Attention Is All You Need

Sequence to Sequence Learning with Neural Networks

A Transformer-based Approach for Source Code Summarization

What Do They Capture? -- A Structural Analysis of Pre-Trained Language
  Models for Source Code

Cross-Language Binary-Source Code Matching with Intermediate Representations

A Survey on Large Language Models for Software Engineering


Accelerated Quality-Diversity

evosax: JAX-based Evolution Strategies

Accelerated Quality-Diversity through Massive Parallelism

Neuroevolution is a Competitive Alternative to Reinforcement Learning
  for Skill Discovery

Benchmarking Quality-Diversity Algorithms on Neuroevolution for
  Reinforcement Learning

QDax: A Library for Quality-Diversity and Population-based Algorithms
  with Hardware Acceleration

Assessing Quality-Diversity Neuro-Evolution Algorithms Performance in
  Hard Exploration Problems

Evolving Populations of Diverse RL Agents with MAP-Elites


LabStreamingLayer super repository comprising submodules for LSL and associated apps.

Detecting and Quantifying Mind Wandering during Simulated Driving

Validating Deep Neural Networks for Online Decoding of Motor Imagery Movements from EEG Signals

Walking through Architectural Spaces: The Impact of Interior Forms on Human Brain Dynamics

Understanding Minds in Real-World Environments: Toward a Mobile Cognition Approach

A Riemannian Modification of Artifact Subspace Reconstruction for EEG Artifact Handling

Breeze: Sharing Biofeedback Through Wearable Technologies

PROCEEDINGS OF THE 2018 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI 2018)

Mobile Brain/Body Imaging (MoBI) of Physical Interaction with Dynamically Moving Objects

Real-time synthesis of imagined speech processes from minimally invasive recordings of neural activity

Decoding Movement From Electrocorticographic Activity: A Review

Walking enhances peripheral visual processing in humans


Lightweight utilities for working with spectroscopic data

A Long-duration Luminous Type IIn Supernova KISS15s: Strong Recombination Lines from the Inhomogeneous Ejecta-CSM Interaction Region and Hot Dust Emission from Newly Formed Dust

Multiple giant eruptions and X-ray emission in the recoiling AGN/LBV candidate SDSS1133

A survey for variable young stars with small telescopes: V - Analysis of TXOri, V505Ori, and V510Ori, the HST ULLYSES targets in the σOri cluster

A survey for variable young stars with small telescopes: VII -- Spot
  Properties on YSOs in IC5070


PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.

Automated Machine Learning: Methods, Systems, Challenges

The Springer series on challenges in machine learning

PMLB: A Large Benchmark Suite for Machine Learning Evaluation and
  Comparison

Data-driven Advice for Applying Machine Learning to Bioinformatics Problems

Where are we now? A large benchmark study of recent symbolic regression methods

PMLB v1.0: an open-source dataset collection for benchmarking machine learning methods

Automated evolutionary approach for the design of composite machine learning pipelines

On Tackling Explanation Redundancy in Decision Trees

Journal of artificial intelligence research/The journal of artificial intelligence research

Using MaxSAT for Efficient Explanations of Tree Ensembles

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

A Scalable Two Stage Approach to Computing Optimal Decision Sets

Ensemble representation learning: an analysis of fitness and survival for wrapper-based genetic programming methods


Redshift fitting for spectroperfectionism

The Seventeenth Data Release of the Sloan Digital Sky Surveys: Complete Release of MaNGA, MaStar, and APOGEE-2 Data

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: measurement of the BAO and growth rate of structure of the luminous red galaxy sample from the anisotropic correlation function between redshifts 0.6 and 1

Monthly Notices of the Royal Astronomical Society

The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: Large-scale structure catalogues for cosmological analysis

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: large-scale structure catalogues and measurement of the isotropic BAO between redshift 0.6 and 1.1 for the Emission Line Galaxy Sample

CGM 2 I: The Extent of the Circumgalactic Medium Traced by Neutral Hydrogen

Target Selection and Validation of DESI Emission Line Galaxies

The Spectroscopic Data Processing Pipeline for the Dark Energy Spectroscopic Instrument

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: N-body mock challenge for galaxy clustering measurements

Cosmology with dropout selection: Straw-man surveys and CMB lensing

Journal of cosmology and astroparticle physics

The wide-field, multiplexed, spectroscopic facility WEAVE: Survey
  design, overview, and simulated implementation


A collection of mathematical models with experimental data in the PEtab format as benchmark problems in order to evaluate new and existing methodologies for data-based modelling

In vitro microvessels for the study of angiogenesis and thrombosis

Analysis of a mathematical model for COVID-19 population dynamics in Lagos, Nigeria

Division of labor by dual feedback regulators controls JAK2/STAT5 signaling over broad ligand range

Mass and Information Feedbacks through Receptor Endocytosis Govern Insulin Signaling as Revealed Using a Parameter-free Modeling Framework

Decoupling of Receptor and Downstream Signals in the Akt Pathway by Its Low-Pass Filter Characteristics

Enzymatic study on AtCCD4 and AtCCD7 and their potential to form acyclic regulatory metabolites

Mathematical modeling of COVID-19 in 14.8 million individuals in Bahia, Brazil

A protocol for dynamic model calibration

Resolving the Combinatorial Complexity of Smad Protein Complex Formation and Its Link to Gene Expression.

Representative Sinusoids for Hepatic Four-Scale Pharmacokinetics Simulations


Implementation of the FV3GFS / SHiELD atmospheric model in Python


GA4GH Variation Representation Python Implementation

The GA4GH Variation Representation Specification: A computational framework for variation representation and federated identification

The GA4GH Variation Representation Specification (VRS): a Computational Framework for the Precise Representation and Federated Identification of Molecular Variation

Development and application of a computable genotype model in the GA4GH Variation Representation Specification


Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization

Domain-Adversarial Training of Neural Networks

Unsupervised Domain Adaptation by Backpropagation

Learning Transferable Features with Deep Adaptation Networks

Adversarial Discriminative Domain Adaptation

CyCADA: Cycle-Consistent Adversarial Domain Adaptation

Conditional Adversarial Domain Adaptation

Maximum Classifier Discrepancy for Unsupervised Domain Adaptation

Invariant Risk Minimization

ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation

Learning to Generalize: Meta-Learning for Domain Generalization


A Reference Open Source Controller for Wind Turbines

A surrogate-model-based approach for estimating the first and second-order moments of offshore wind power

Land-based wind turbines with flexible rail transportable blades – Part I: Conceptual design and aeroservoelastic performance

Distributed Aerodynamic Control using Active Trailing-Edge Flaps for Large Wind Turbines

SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2020), PTS 1-5

Active power control of wind farms: an instantaneous approach on waked conditions

A Switching Thrust Tracking Controller for Load Constrained Wind Turbines

Damping analysis of Floating Offshore Wind Turbine (FOWT): a new control strategy reducing the platform vibrations


Shifter - Linux Containers for HPC

Shifter: Containers for HPC

Containers for Portable, Productive, and Performant Scientific Computing

Developing reproducible bioinformatics analysis workflows for heterogeneous computing environments to support African genomics

Observability and chaos engineering on system calls for containerized applications in Docker

CMS use of allocation based HPC resources


Surround360 is Facebook's open source hardware and software for capturing stereoscopic 3D 360 video for VR. The repo contains hardware designs, as well as software for camera control and rendering.

Unsupervised Learning of Depth and Ego-Motion from Cylindrical Panoramic Video with Applications for Virtual Reality

International journal of semantic computing

3D Scene Geometry Estimation from 360° Imagery: A Survey

An integrative method to quantitatively detect nocturnal motor seizures

Generating High-Quality Panorama by View Synthesis Based on Optical Flow Estimation


Toolbox for segmentation and characterisation of transient connectivity

Discovering dynamic brain networks from big data in rest and task

Task-Evoked Dynamic Network Analysis Through Hidden Markov Modeling

Behavioural relevance of spontaneous, transient brain network interactions in fMRI

+microstate: A MATLAB toolbox for brain microstate analysis in sensor and cortical EEG/MEG

Differential dopaminergic modulation of spontaneous cortico–subthalamic activity in Parkinson’s disease

Dynamic analysis on simultaneous iEEG-MEG data via hidden Markov model

Frequency modulation of entorhinal cortex neuronal activity drives distinct frequency-dependent states of brain-wide dynamics

Spatiotemporally resolved multivariate pattern analysis for M/EEG

Static and dynamic aspects of cerebro-cerebellar functional connectivity are associated with self-reported measures of impulsivity: A resting-state fMRI study

A Hidden Markov Model reveals magnetoencephalography spectral frequency-specific abnormalities of brain state power and phase-coupling in neuropathic pain


ruptures: change point detection in Python

Comprehensive Process Drift Detection with Visual Analytics

Visual Drift Detection for Event Sequence Data of Business Processes

IEEE transactions on visualization and computer graphics

Sudden Attention Shifts on Wikipedia During the COVID-19 Crisis

Sudden Attention Shifts on Wikipedia Following COVID-19 Mobility Restrictions

Predicting Parkinson's Disease with Multimodal Irregularly Collected Longitudinal Smartphone Data

Tonal harmony, the topology of dynamical score networks and the Chinese postman problem

Symbolic Music Structure Analysis with Graph Representations and
  Changepoint Detection Methods

Estimation and Interpretation of Machine Learning Models with Customized Surrogate Model

Smoothing splines for discontinuous signals


Maximum likelihood inference of time stamped phylogenies and ancestral reconstruction

TreeTime: Maximum-likelihood phylodynamic analysis

panX: pan-genome analysis and exploration

A small number of early introductions seeded widespread transmission of SARS-CoV-2 in Québec, Canada

A novel host-adapted strain of Salmonella Typhimurium causes renal disease in olive ridley turtles (Lepidochelys olivacea) in the Pacific

Fundamental evolution of all Orthocoronavirinae including three deadly lineages descendent from Chiroptera-hosted coronaviruses: SARS-CoV, MERS-CoV and SARS-CoV-2

Zenodo (CERN European Organization for Nuclear Research)

Transmission dynamics of SARS-CoV-2 on the Diamond Princess uncovered using viral genome sequence analysis

SARS-CoV-2 shedding dynamics and transmission in immunosuppressed patients


Robust recipes to align language models with human and AI preferences

Zephyr: Direct Distillation of LM Alignment

The ART of LLM Refinement: Ask, Refine, and Trust

PHOENIX: Open-Source Language Adaption for Direct Preference
  Optimization

Suppressing Pink Elephants with Direct Principle Feedback


Grid-based workflow management system for lattice field theory simulations

Inclusive semi-leptonic decays of charmed mesons with Möbius domain wall fermions

Using Gradient Flow to Renormalise Matrix Elements for Meson Mixing and Lifetimes

BSM B - B̅ mixing on JLQCD and RBC/UKQCD N_f=2+1 DWF ensembles

2+1 flavor fine lattice simulation at finite temperature with domain-wall fermions

K π scattering at physical pion mass using distillation


An open-source toolbox for action understanding based on PyTorch

Temporal Action Detection with Structured Segment Networks

Temporal Segment Networks for Action Recognition in Videos

Temporal Pyramid Network for Action Recognition

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing

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

Omni-sourced Webly-supervised Learning for Video Recognition

AutoVideo: An Automated Video Action Recognition System

Unsupervised Visual Representation Learning by Tracking Patches in Video

Probing the State of the Art: A Critical Look at Visual Representation Evaluation

Clothing Insulation Rate and Metabolic Rate Estimation for Individual Thermal Comfort Assessment in Real Life


A collaborative software to download the energy database Marktstammdatenregister (MaStR)


Semi-supervised learning for peptide identification from shotgun proteomics datasets

Removing the hidden data dependency of DIA with predicted spectral libraries

Flexible Data Analysis Pipeline for High-Confidence Proteogenomics

RNxQuest: An Extension to the xQuest Pipeline Enabling Analysis of Protein-RNA Cross-Linking/Mass Spectrometry Data.


PV Analysis Tools in Python

Robust PV Degradation Methodology and Application

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

Validation of the PVLife model using 3 million module-years of live site data

Quantifying Soiling Loss Directly From PV Yield

PV degradation methodology comparison — A basis for a standard

Signal Processing on PV Time-Series Data: Robust Degradation Analysis Without Physical Models

Review of Open Source Tools for PV Modeling

Performance Comparison of Clipping Detection Techniques in AC Power Time Series

Overcoming Communications Outages in Inverter Downtime Analysis


CodeXGLUE

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

CoSQA: 20,000+ Web Queries for Code Search and Question Answering

NatGen: Generative pre-training by "Naturalizing" source code

No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Multilingual training for Software Engineering

ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection

ReCode: Robustness Evaluation of Code Generation Models

Memorization and Generalization in Neural Code Intelligence Models

StructCoder: Structure-Aware Transformer for Code Generation

CommitBERT: Commit Message Generation Using Pre-Trained Programming Language Model


AQT: Accurate Quantized Training

Efficiently Scaling Transformer Inference

PokeBNN: A Binary Pursuit of Lightweight Accuracy

Pareto-Optimal Quantized ResNet Is Mostly 4-bit

4-bit Conformer with Native Quantization Aware Training for Speech Recognition

Binarized Neural Machine Translation


Black-box optimization for Julia

First Sagittarius A* Event Horizon Telescope Results. IV. Variability, Morphology, and Black Hole Mass

The tadpole problem

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

Universal Off-Policy Evaluation

Algorithmically solving the Tadpole Problem

A new light on the darkest corner of the landscape

Multi-field inflation in high-slope potentials

Quantifying how post-transcriptional noise and gene copy number variation bias transcriptional parameter inference from mRNA distributions

The multi-field, rapid-turn inflationary solution

Architectures of Exoplanetary Systems. II. An Increase in Inner Planetary System Occurrence toward Later Spectral Types for Kepler’s FGK Dwarfs

Composing Modeling and Simulation with Machine Learning in Julia


Python wrapper for MFEM

Learning robust marking policies for adaptive mesh refinement

Dynamical low-rank approximation of the Vlasov-Poisson equation with
  piecewise linear spatial boundary

Constrained Local Approximate Ideal Restriction for Advection-Diffusion
  Problems


Accelerated BLAST compatible local sequence aligner.

Altered gut microbial profile is associated with abnormal metabolism activity of Autism Spectrum Disorder

Structural and Functional Annotation of Eukaryotic Genomes with GenSAS

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

Depletion of acetate-producing bacteria from the gut microbiota facilitates cognitive impairment through the gut-brain neural mechanism in diabetic mice

A methylotrophic origin of methanogenesis and early divergence of anaerobic multicarbon alkane metabolism

A simple guide to de novo transcriptome assembly and annotation

Residual chlorine disrupts the microbial communities and spreads antibiotic resistance in freshwater

Metagenome-wide association study revealed disease-specific landscape of the gut microbiome of systemic lupus erythematosus in Japanese

Carbapenemases on the move: it’s good to be on ICEs

SARS-like Coronaviruses in Horseshoe Bats (Rhinolophus spp.) in Russia, 2020

Lingguizhugan decoction attenuates diet-induced obesity and hepatosteatosis via gut microbiota