TED parallel Corpora is growing collection of Bilingual parallel corpora, Multilingual parallel corpora and Monolingual corpora extracted from TED talks www.ted.com for 109 world languages.

IndoNLU: Benchmark and Resources for Evaluating Indonesian Natural Language Understanding

Triangular Architecture for Rare Language Translation

Unsupervised Pivot Translation for Distant Languages

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

MMCR4NLP: Multilingual Multiway Corpora Repository for Natural Language Processing

WCC-JC: A Web-Crawled Corpus for Japanese-Chinese Neural Machine Translation


Contains the code for our ICSE 2020 paper: Big Code != Big Vocabulary: Open-Vocabulary Language Models for Source Code and for its earlier pre-print: Maybe Deep Neural Networks are the Best Choice for Modeling Source Code (https://arxiv.org/abs/1903.05734). This is the first open vocabulary language model for code that uses the byte pair encoding algorithm (BPE) to learn a segmentation of code tokens into subword units.

Open-Vocabulary Models for Source Code (Extended Abstract)

International Conference on Software Engineering

Multi-task Learning based Pre-trained Language Model for Code Completion


Efficient and scalable parallelism using the message passing interface (MPI) to handle big data and highly computational problems.

Landscape of High-Performance Python to Develop Data Science and Machine Learning Applications

pPython for Parallel Python Programming


A drop-in replacement for CIFAR-10.

A Downsampled Variant of ImageNet as an Alternative to the CIFAR datasets

CINIC-10 is not ImageNet or CIFAR-10

S2OSC: A Holistic Semi-Supervised Approach for Open Set Classification

On the Strong Correlation Between Model Invariance and Generalization

Confidence and Dispersity Speak: Characterising Prediction Matrix for Unsupervised Accuracy Estimation

Inducing Data Amplification Using Auxiliary Datasets in Adversarial Training


Two simple and effective designs of vision transformer, which is on par with the Swin transformer

Twins: Revisiting the Design of Spatial Attention in Vision Transformers

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

SBCFormer: Lightweight Network Capable of Full-size ImageNet Classification at 1 FPS on Single Board Computers


Neural network sequence labeling model

Recurrent Neural Network Grammars

Empower Sequence Labeling with Task-Aware Neural Language Model

Semi-supervised Multitask Learning for Sequence Labeling

Empirical Evaluation of Character-Based Model on Neural Named-Entity Recognition in Indonesian Conversational Texts

Grammatical error detection in transcriptions of spoken English

International Conference on Computational Linguistics

Pretrained language model transfer on neural named entity recognition in Indonesian conversational texts


Hierarchical Question-Image Co-Attention for Visual Question Answering

The VQA-Machine: Learning How to Use Existing Vision Algorithms to Answer New Questions


Repository for VOneNet models

Simulating a Primary Visual Cortex at the Front of CNNs Improves Robustness to Image Perturbations

Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception

Combining Different V1 Brain Model Variants to Improve Robustness to Image Corruptions in CNNs

Wavelets Beat Monkeys at Adversarial Robustness

Training on Foveated Images Improves Robustness to Adversarial Attacks

Matching the Neuronal Representations of V1 is Necessary to Improve Robustness in CNNs with V1-like Front-ends


scripts and configuration files for Edinburgh neural MT submission to WMT 16 shared translation task

Six Challenges for Neural Machine Translation

No Language Left Behind: Scaling Human-Centered Machine Translation

Beyond English-Centric Multilingual Machine Translation

Edinburgh Neural Machine Translation Systems for WMT 16

A Convolutional Encoder Model for Neural Machine Translation

Linguistic Input Features Improve Neural Machine Translation

Neural Interactive Translation Prediction

Conference of the Association for Machine Translation in the Americas

MSP: Multi-Stage Prompting for Making Pre-trained Language Models Better Translators

A Multilingual View of Unsupervised Machine Translation

Neural Lattice Search for Domain Adaptation in Machine Translation

International Joint Conference on Natural Language Processing


neural question generation for reading comprehension

Learning to Ask: Neural Question Generation for Reading Comprehension

Addressing Semantic Drift in Question Generation for Semi-Supervised Question Answering

Self-Attention Architectures for Answer-Agnostic Neural Question Generation

Meeting of the Association for Computational Linguistics

On the Importance of Diversity in Question Generation for QA

Improving Question Generation With to the Point Context

A Semantic Role-based Approach to Open-Domain Automatic Question Generation

Workshop on Innovative Use of NLP for Building Educational Applications

Automatic question generation based on sentence structure analysis using machine learning approach

What BERT Sees: Cross-Modal Transfer for Visual Question Generation

BERT Can See Out of the Box: On the Cross-modal Transferability of Text Representations.

Quinductor: A multilingual data-driven method for generating reading-comprehension questions using Universal Dependencies


NeuS: Learning Neural Implicit Surfaces by Volume Rendering for Multi-view Reconstruction

NeRS: Neural Reflectance Surfaces for Sparse-view 3D Reconstruction in the Wild

Multi-View Mesh Reconstruction with Neural Deferred Shading


GCC: Graph Contrastive Coding for Graph Neural Network Pre-Training @ KDD 2020

Graph Self-Supervised Learning: A Survey

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Self-Supervised Learning on Graphs: Contrastive, Generative, or Predictive

Domain Adaptive Graph Infomax via Conditional Adversarial Networks

IEEE Transactions on Network Science and Engineering

State of the Art and Potentialities of Graph-level Learning

GraphControl: Adding Conditional Control to Universal Graph Pre-trained Models for Graph Domain Transfer Learning

Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks

Spectral Augmentations for Graph Contrastive Learning

Spatial Autoregressive Coding for Graph Neural Recommendation


FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.

Mitigating the Impact of Outlier Channels for Language Model
  Quantization with Activation Regularization

Optimizing Speculative Decoding for Serving Large Language Models Using Goodput

Fast Matrix Multiplications for Lookup Table-Quantized LLMs

MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models


A curated list for vision-and-language navigation. ACL 2022 paper "Vision-and-Language Navigation: A Survey of Tasks, Methods, and Future Directions"

TOUCHDOWN: Natural Language Navigation and Spatial Reasoning in Visual Street Environments

Stay on the Path: Instruction Fidelity in Vision-and-Language Navigation

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

Learning to Navigate

1st International Workshop on Multimodal Understanding and Learning for Embodied Applications

A Framework for Learning to Request Rich and Contextually Useful Information from Humans

Retouchdown: Releasing Touchdown on StreetLearn as a Public Resource for Language Grounding Tasks in Street View

Proceedings of the Third International Workshop on Spatial Language Understanding


Creative Commons Attribution 4.0 International

[ACL 2024 ] Video-ChatGPT is a video conversation model capable of generating meaningful conversation about videos. It combines the capabilities of LLMs with a pretrained visual encoder adapted for spatiotemporal video representation. We also introduce a rigorous 'Quantitative Evaluation Benchmarking' for video-based conversational models.

Video-ChatGPT: Towards Detailed Video Understanding via Large Vision and Language Models

Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment

IEEE transactions on pattern analysis and machine intelligence

FunQA: Towards Surprising Video Comprehension

Explainable Multimodal Emotion Reasoning

Clarity ChatGPT: An Interactive and Adaptive Processing System for Image Restoration and Enhancement

Uncovering Hidden Connections: Iterative Tracking and Reasoning for Video-grounded Dialog

AffectGPT: Dataset and Framework for Explainable Multimodal Emotion
  Recognition


Pretty heatmaps

Mitofusins regulate lipid metabolism to mediate the development of lung fibrosis

SYK coordinates neuroprotective microglial responses in neurodegenerative disease

Sci-fate characterizes the dynamics of gene expression in single cells

A Widespread Neurogenic Potential of Neocortical Astrocytes Is Induced by Injury

Targeting JNK pathway promotes human hematopoietic stem cell expansion

Comprehensive analyses reveal TKI-induced remodeling of the tumor immune microenvironment in EGFR/ALK-positive non-small-cell lung cancer

High-frequency head impact causes chronic synaptic adaptation and long-term cognitive impairment in mice

Population study of the gut microbiome: associations with diet, lifestyle, and cardiometabolic disease

Transcriptomic encoding of sensorimotor transformation in the midbrain

OneStopRNAseq: A Web Application for Comprehensive and Efficient Analyses of RNA-Seq Data


The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.

Behavioral Use Licensing for Responsible AI

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

Fairness Testing: A Comprehensive Survey and Analysis of Trends

The Different Faces of AI Ethics Across the World: A Principle-Implementation Gap Analysis

When Fair Classification Meets Noisy Protected Attributes

Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society

Guidelines for Integrating Value Sensitive Design in Responsible AI Toolkits


PyTorch 3D video classification models pre-trained on 65 million Instagram videos

The Kinetics Human Action Video Dataset

Use What You Have: Video Retrieval Using Representations From Collaborative Experts

Large-scale weakly-supervised pre-training for video action recognition

Transfer Learning of Deep Spatiotemporal Networks to Model Arbitrarily Long Videos of Seizures

Medical Image Computing and Computer-Assisted Intervention

Improving Action Quality Assessment Using Weighted Aggregation

Improving Action Quality Assessment using ResNets and Weighted Aggregation.


Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation

Cylinder3D: An Effective 3D Framework for Driving-scene LiDAR Semantic Segmentation

Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation

Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR-Based Perception

PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds

LaserMix for Semi-Supervised LiDAR Semantic Segmentation

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

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions


Data and code related to the paper "ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa..." Jie Tan, et al · mSystems · 2016

ADAGE-Based Integration of Publicly Available Pseudomonas aeruginosa Gene Expression Data with Denoising Autoencoders Illuminates Microbe-Host Interactions

Intelligent Health Care: Applications of Deep Learning in Computational Medicine

ADAGE analysis of publicly available gene expression data collections illuminates Pseudomonas aeruginosa-host interactions

Computationally Efficient Assembly of Pseudomonas aeruginosa Gene Expression Compendia

SOPHIE: Generative Neural Networks Separate Common and Specific Transcriptional Responses

基因组蛋白质组与生物信息学报


A Data Platform for Medical AI that enables building high-quality datasets and algorithms with lean process and advanced annotation features.

VinDr-CXR: An open dataset of chest X-rays with radiologist's annotations

VinDr-Mammo: A large-scale benchmark dataset for computer-aided diagnosis in full-field digital mammography

VinDr-SpineXR: A deep learning framework for spinal lesions detection and classification from radiographs

Phase Recognition in Contrast-Enhanced CT Scans based on Deep Learning and Random Sampling


Tool for the detection and quantification of alternative splicing events from RNA-Seq data.

SplAdder: identification, quantification and testing of alternative splicing events from RNA-Seq data

An important class of intron retention events in human erythroblasts is regulated by cryptic exons proposed to function as splicing decoys

Implications of Antigen Selection on T Cell-Based Immunotherapy


Entity disambiguation evaluation and error analysis tool

MedType: Improving Medical Entity Linking with Semantic Type Prediction.

Fast and Effective Biomedical Entity Linking Using a Dual Encoder

Revisiting the Evaluation for Cross Document Event Coreference

Combining Open Source Annotators for Entity Linking through Weighted Voting

Joint Conference on Lexical and Computational Semantics

Framing Named Entity Linking Error Types

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

Stacking With Auxiliary Features

Visual Error Analysis for Entity Linking

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (ACL-IJCNLP 2015): SYSTEM DEMONSTRATIONS

Supervised and Unsupervised Ensembling for Knowledge Base Population

Hedwig: A Named Entity Linker

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


Additional exercises and data for EE364a. No solutions; for public consumption.

Markowitz Portfolio Construction at Seventy

A Simple Method for Predicting Covariance Matrices of Financial Returns

Alternating Subgradient Methods for Convex-Concave Saddle-Point Problems


An out-of-box human parsing representation extractor.

Self-Correction for Human Parsing

Body Part-Based Representation Learning for Occluded Person Re-Identification

High-Fidelity Neural Human Motion Transfer from Monocular Video

Exploring the Robustness of Human Parsers Towards Common Corruptions


Static program analysis framework for Ethereum smart contract bytecode.

MadMax: surviving out-of-gas conditions in Ethereum smart contracts

Proceedings of the ACM on Programming Languages

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

Zenodo (CERN European Organization for Nuclear Research)

Vandal: A Scalable Security Analysis Framework for Smart Contracts

Security Analysis Methods on Ethereum Smart Contract Vulnerabilities: A Survey

Smart Contract Vulnerability Detection Technique: A Survey

EtherSolve: Computing an Accurate Control-Flow Graph from Ethereum Bytecode

Standardising smart contracts: Automatically inferring ERC standards

Evolution of automated weakness detection in Ethereum bytecode: a comprehensive study

Next-Paradigm Programming Languages: What Will They Look Like and What Changes Will They Bring?

Empirical Review of Smart Contract and DeFi Security: Vulnerability Detection and Automated Repair


Benchmarks for generative chemistry

GuacaMol: Benchmarking Models for De Novo Molecular Design

Journal of chemical information and modeling

Improving black-box optimization in VAE latent space using decoder uncertainty

De novo generation of multi-target compounds using deep generative chemistry

Automated patent extraction powers generative modeling in focused chemical spaces


:no_entry: ARCHIVED :no_entry: Wraps UMAP Algorithm for Dimension Reduction

UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Three-dimensional bioprinted glioblastoma microenvironments model cellular dependencies and immune interactions

Ret deficiency decreases neural crest progenitor proliferation and restricts fate potential during enteric nervous system development

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

Multi-omic analyses reveal antibody-dependent natural killer cell-mediated cytotoxicity in autoimmune thyroid diseases


SortMeRNA: next-generation sequence filtering and alignment tool

A simple guide to de novo transcriptome assembly and annotation

A Novel Inorganic Sulfur Compound Metabolizing Ferroplasma-Like Population Is Suggested to Mediate Extracellular Electron Transfer

Integrative omics framework for characterization of coral reef ecosystems from the Tara Pacific expedition

Microbial Community and Metabolic Activity in Thiocyanate Degrading Low Temperature Microbial Fuel Cells

uORF-Tools—Workflow for the determination of translation-regulatory upstream open reading frames

Raw transcriptomics data to gene specific SSRs: a validated free bioinformatics workflow for biologists

Functional meta-omics provide critical insights into long- and short-read assemblies

RAPIDprep: A Simple, Fast Protocol for RNA Metagenomic Sequencing of Clinical Samples

Applications of Machine Learning Models to Predict and Prevent Obesity: A Mini-Review

Building the taxonomic profile of the Riniaie Marwah hot spring of Kishtwar in Jammu and Kashmir: the first high-throughput sequencing-based metagenome study


Simple oligo analysis and primer design

Characterizing mobile element insertions in 5675 genomes

ThermoAlign: a genome-aware primer design tool for tiled amplicon resequencing

The web-based multiplex PCR primer design software Ultiplex and the associated experimental workflow: up to 100- plex multiplicity


Universal Proposition Banks for Multilingual Semantic Role Labeling

Cross-lingual Semantic Role Labeling with Model Transfer

Cross-Lingual Transfer of Semantic Roles: From Raw Text to Semantic Roles

Towards Deep Universal Dependencies

Proceedings of the Fifth International Conference on Dependency Linguistics (Depling, SyntaxFest 2019)

Improved Semantic Role Labeling using Parameterized Neighborhood Memory Adaptation

Abstract meaning representation of Turkish

Making a Semantic Event-type Ontology Multilingual

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Construct a Sense-Frame Aligned Predicate Lexicon for Chinese AMR Corpus


An "R" package for automatic download and preprocessing of MODIS Land Products Time Series

Could climate trends disrupt the contact rates between Ixodes ricinus (Acari, Ixodidae) and the reservoirs of Borrelia burgdorferi s.l.?

RGISTools: Downloading, Customizing, and Processing Time Series of Remote Sensing Data in R


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

OmniQuant: Omnidirectionally Calibrated Quantization for Large Language Models

IntactKV: Improving Large Language Model Quantization by Keeping Pivot
  Tokens Intact

LQER: Low-Rank Quantization Error Reconstruction for LLMs


RAW image processing for Python, a wrapper for libraw

GenISP: Neural ISP for Low-Light Machine Cognition

Burst Photography for Learning to Enhance Extremely Dark Images

Raw or Cooked? Object Detection on RAW Images

Measured Albedo in the Wild: Filling the Gap in Intrinsics Evaluation


Open Source EMEP/MSC-W model

Effects of ship emissions on air quality in the Baltic Sea region simulated with three different chemistry transport models

Ensemble forecasts of air quality in eastern China – Part 1: Model description and implementation of the MarcoPolo–Panda prediction system, version 1

Non-linear response of PM2.5 to changes in NOx and NH3 emissions in the Po basin (Italy): consequences for air quality plans

HAL (Le Centre pour la Communication Scientifique Directe)

Modelling public health improvements as a result of air pollution control policies in the UK over four decades—1970 to 2010

Effects of strengthening the Baltic Sea ECA regulations

Shipping emissions in the Iberian Peninsula and the impacts on air quality

Advanced methods for uncertainty assessment and global sensitivity analysis of an Eulerian atmospheric chemistry transport model

Why is the city's responsibility for its air pollution often underestimated? A focus on PM2:5

Supplementary material to "Model evaluation of short-lived climate forcers for the Arctic Monitoring and Assessment Programme: a multi-species, multi-model study"

Downscaling of air pollutants in Europe using uEMEP_v6


tidy methods for mixed models in R

Cannabinoid and substance relationships of European congenital anomaly patterns: a space-time panel regression and causal inferential study

Geospatiotemporal and causal inference study of cannabis and other drugs as risk factors for female breast cancer USA 2003–2017

European Epidemiological Patterns of Cannabis- and Substance-Related Body Wall Congenital Anomalies: Geospatiotemporal and Causal Inferential Study

International journal of environmental research and public health

Cannabis- and Substance-Related Epidemiological Patterns of Chromosomal Congenital Anomalies in Europe: Geospatiotemporal and Causal Inferential Study

Congenital anomaly epidemiological correlates of Δ8THC across USA 2003–16: panel regression and causal inferential study

Cannabis- and Substance-Related Carcinogenesis in Europe: A Lagged Causal Inferential Panel Regression Study

European Epidemiological Patterns of Cannabis- and Substance-Related Congenital Neurological Anomalies: Geospatiotemporal and Causal Inferential Study

Epidemiological Patterns of Cannabis- and Substance- Related Congenital Uronephrological Anomalies in Europe: Geospatiotemporal and Causal Inferential Study

Patterns of Cannabis- and Substance-Related Congenital General Anomalies in Europe: A Geospatiotemporal and Causal Inferential Study

Geospatiotemporal and Causal Inferential Study of European Epidemiological Patterns of Cannabis- and Substance-Related Congenital Orofacial Anomalies


Transcript quantification import for modular pipelines

A simple guide to de novo transcriptome assembly and annotation

Temporal analysis suggests a reciprocal relationship between 3D chromatin structure and transcription

Nuclear hormone receptor NHR-49 acts in parallel with HIF-1 to promote hypoxia adaptation in Caenorhabditis elegans

H3.3K27M Mutation Controls Cell Growth and Resistance to Therapies in Pediatric Glioma Cell Lines

Bioinformatic and cell-based tools for pooled CRISPR knockout screening in mosquitos

Endogenous expression of inactive lysine deacetylases reveals deacetylation-dependent cellular mechanisms


HYDrologic Remote sensing Analysis for Floods Python package


Renewable Energy Potential (reV) Model

The Renewable Energy Potential (reV) Model: A Geospatial Platform for Technical Potential and Supply Curve Modeling


An Exchange Format for Verification Witnesses (MOVED, please follow the link)

Reliable and Reproducible Competition Results with BenchExec and Witnesses (Report on SV-COMP 2016)

Tools and Algorithms for Construction and Analysis of Systems

Software Verification and Verifiable Witnesses - (Report on SV-COMP 2015)

Witness validation and stepwise testification across software verifiers

Correctness witnesses: exchanging verification results between verifiers

Software Verification: 10th Comparative Evaluation (SV-COMP 2021)

Advances in Automatic Software Verification: SV-COMP 2020

Tests from Witnesses

Verification Artifacts in Cooperative Verification: Survey and Unifying Component Framework

MetaVal: Witness Validation via Verification

Verification-Aided Debugging: An Interactive Web-Service for Exploring Error Witnesses


Website for Principles of Sustainable Software Engineering


Automated 3D cell detection in very large images

A deep learning algorithm for 3D cell detection in whole mouse brain image datasets

Multisensory coding of angular head velocity in the retrosplenial cortex

Brain-wide analysis of the supraspinal connectome reveals anatomical correlates to functional recovery after spinal injury

The retrosplenial cortex combines internal and external cues to encode head velocity during navigation


Python library to easily create and manipulate MOCs (Multi-Order Coverage maps)

The ASKAP Variables and Slow Transients (VAST) Pilot Survey

The SRG/eROSITA All-Sky Survey: X-ray selection function models for the
  eRASS1 galaxy cluster cosmology

Radio variable and transient sources on minute time-scales in the ASKAP pilot surveys

Multi Order Coverage data structure to plan multi-messenger observations


An instance of KG Hub to produce a knowledge graph for COVID-19 response.

KG-COVID-19: A Framework to Produce Customized Knowledge Graphs for COVID-19 Response

CODO: An Ontology for Collection and Analysis of Covid-19 Data

PROCEEDINGS OF THE 12TH INTERNATIONAL JOINT CONFERENCE ON KNOWLEDGE DISCOVERY, KNOWLEDGE ENGINEERING AND KNOWLEDGE MANAGEMENT (KEOD), VOL 2

Covid-on-the-Web: Knowledge Graph and Services to Advance COVID-19 Research

Biolink Model: A universal schema for knowledge graphs in clinical, biomedical, and translational science

Healthcare Knowledge Graph Construction: State-of-the-art, open issues, and opportunities

Biomedical Knowledge Graph Refinement with Embedding and Logic Rules

Towards an ML-based semantic IoT for pandemic management: A survey of enabling technologies for COVID-19

KG-Hub -- Building and Exchanging Biological Knowledge Graphs

An open source knowledge graph ecosystem for the life sciences

ROC: An Ontology for Country Responses towards COVID-19


Hierarchical, iterative clustering for analysis of transcriptomics data in R

A multimodal cell census and atlas of the mammalian primary motor cortex

Morphological diversity of single neurons in molecularly defined cell types

A transcriptomic and epigenomic cell atlas of the mouse primary motor cortex

Single nucleus multi-omics identifies human cortical cell regulatory genome diversity

Chronic myelomonocytic leukaemia stem cell transcriptomes anticipate disease morphology and outcome

A suite of enhancer AAVs and transgenic mouse lines for genetic access to cortical cell types


Quantum Gate Language (QGL) is a domain specific language embedded in python for specifying quantum gate sequences.

OpenQASM 3: A broader and deeper quantum assembly language

Bootstrapping quantum process tomography via a perturbative ansatz

Characterizing mid-circuit measurements on a superconducting qubit using gate set tomography


MTEB: Massive Text Embedding Benchmark

MTEB: Massive Text Embedding Benchmark

JaColBERTv2.5: Optimising Multi-Vector Retrievers to Create
  State-of-the-Art Japanese Retrievers with Constrained Resources

The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding

PL-MTEB: Polish Massive Text Embedding Benchmark


Post-quantum crypto library for the ARM Cortex-M4

Sapphire: A Configurable Crypto-Processor for Post-Quantum Lattice-based Protocols

RISQ-V: Tightly Coupled RISC-V Accelerators for Post-Quantum Cryptography

IACR Transactions on Cryptographic Hardware and Embedded Systems

NTT Multiplication for NTT-unfriendly Rings.

Masking Kyber: First- and Higher-Order Implementations

ISA Extensions for Finite Field Arithmetic

Standard Lattice-Based Key Encapsulation on Embedded Devices

SynFi: Automatic Synthetic Fingerprint Generation

Multi-moduli NTTs for Saber on Cortex-M3 and Cortex-M4

Higher-Order Masked Ciphertext Comparison for Lattice-Based Cryptography

Secure IoT in the Era of Quantum Computers-Where Are the Bottlenecks?


An API for easily incorporating the D-Wave system as a sampler, either directly or through Leap's cloud-based hybrid samplers

Open source software in quantum computing

Solving the Traveling Salesman Problem on the D-Wave Quantum Computer

Improving Quantum Annealing Performance on Embedded Problems

Supercomputing Frontiers and Innovations


A living benchmark framework for symbolic regression

Contemporary Symbolic Regression Methods and their Relative Performance

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

Transformer-based Planning for Symbolic Regression

Interpretable Symbolic Regression for Data Science: Analysis of the 2022 Competition

Less is More: A Call to Focus on Simpler Models in Genetic Programming for Interpretable Machine Learning

M5GP: Parallel Multidimensional Genetic Programming with Multidimensional Populations for Symbolic Regression

Mathematical and Computational Applications

GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations

Physical Symbolic Optimization


Code Generation Framework For NEURON MODeling Language

An optimizing multi-platform source-to-source compiler framework for the NEURON MODeling Language

Efficient Simulation of 3D Reaction-Diffusion in Models of Neurons and Networks


Pax is a Jax-based machine learning framework for training large scale models. Pax allows for advanced and fully configurable experimentation and parallelization, and has demonstrated industry leading model flop utilization rates.

PaLM: Scaling Language Modeling with Pathways

PaLM 2 Technical Report

Efficient Large Language Models: A Survey

VeLO: Training Versatile Learned Optimizers by Scaling Up

Model Compression and Efficient Inference for Large Language Models: A
  Survey

Pretraining Data Mixtures Enable Narrow Model Selection Capabilities in Transformer Models

Instruct-Imagen: Image Generation with Multi-modal Instruction

CoBIT: A Contrastive Bi-directional Image-Text Generation Model

There's no Data Like Better Data: Using QE Metrics for MT Data Filtering

USM-Lite: Quantization and Sparsity Aware Fine-Tuning for Speech Recognition with Universal Speech Models


ReFT: Representation Finetuning for Language Models

UltraFeedback: Boosting Language Models with High-quality Feedback

A Primer on the Inner Workings of Transformer-based Language Models

pyvene: A Library for Understanding and Improving PyTorch Models via
  Interventions

Towards Incremental Learning in Large Language Models: A Critical Review


PyTorch implementation of Tacotron speech synthesis model.

Tacotron: Towards End-to-End Speech Synthesis

Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention

International Conference on Acoustics, Speech, and Signal Processing

TorchDIVA: An Extensible Computational Model of Speech Production built on an Open-Source Machine Learning Library


Deep BSDE solver in TensorFlow

Solving high-dimensional partial differential equations using deep learning

Deep Learning-Based Numerical Methods for High-Dimensional Parabolic Partial Differential Equations and Backward Stochastic Differential Equations

Communications in Mathematics and Statistics

A fully nonlinear Feynman–Kac formula with derivatives of arbitrary orders

A deep-genetic algorithm (deep-GA) approach for high-dimensional nonlinear parabolic partial differential equations


The iFogSimToolkit (with its new release iFogSim2) for Modeling and Simulation of Resource Management Techniques in Internet of Things, Edge and Fog Computing Environments. In the new release Mobili Management, Microservice Management, and Dynamic Clustering mechanisms are added as new features.

All one needs to know about fog computing and related edge computing paradigms: A complete survey

IFogSim2: An Extended iFogSim Simulator for Mobility, Clustering, and Microservice Management in Edge and Fog Computing Environments

Modelling and Simulation of Fog and Edge Computing Environments using iFogSim Toolkit

An In-Depth Review on Blockchain Simulators for IoT Environments

FastTTPS: fast approach for video transcoding time prediction and scheduling for HTTP adaptive streaming videos

Proactive Fault Prediction of Fog Devices Using LSTM-CRP Conceptual Framework for IoT Applications

Simulation Tools for Fog Computing: A Comparative Analysis

Virtual Commissioning of Distributed Systems in the Industrial Internet of Things

Fog Integrated Secured and Distributed Environment for Healthcare Industry with Software Defined Networking

Wasit Journal of Computer and Mathematics Science


A Greek edition of BERT pre-trained language model

KUISAIL at SemEval-2020 Task 12: BERT-CNN for Offensive Speech Identification in Social Media

GREEK-BERT: The Greeks visiting Sesame Street

Hellenic Conference on Artificial Intelligence

Multimodal Hate Speech Detection in Greek Social Media

Pre-training Polish Transformer-based Language Models at Scale

BRUMS at SemEval-2020 Task 12 : Transformer based Multilingual Offensive Language Identification in Social Media


The BLAKE3 paper: specifications, analysis, and design rationale

Key Event Receipt Infrastructure (KERI)

TPA Auditing to Enhance the Privacy and Security in Cloud Systems

Goldfish: No More Attacks on Ethereum?!

Predictable universally unique identification of sequential events on complex objects


How to Train good Word Embeddings for Biomedical NLP

Meeting of the Association for Computational Linguistics

An empirical evaluation of deep learning for ICD-9 code assignment using MIMIC-III clinical notes

Computer methods and programs in biomedicine

Few-shot Learning for Named Entity Recognition in Medical Text

Cancer Hallmark Text Classification Using Convolutional Neural Networks

International Conference on Computational Linguistics

Deep Residual Convolutional Neural Network for Protein-Protein Interaction Extraction

Chemical–protein interaction extraction via contextualized word representations and multihead attention

Database : the journal of biological databases and curation

BioVerbNet: a large semantic-syntactic classification of verbs in biomedicine.

Family member information extraction via neural sequence labeling models with different tag schemes

BMC medical informatics and decision making

Can Embeddings Adequately Represent Medical Terminology? New Large-Scale Medical Term Similarity Datasets Have the Answer!

Biomedical document triage using a hierarchical attention-based capsule network


Clear implementation of arithmetic coding for educational purposes in Java, Python, C++.

Context-adaptive Entropy Model for End-to-end Optimized Image Compression

Neural Network Modeling of Probabilities for Coding the Octree Representation of Point Clouds

Deep Learning-based Image Compression with Trellis Coded Quantization

Leveraging Spatial and Temporal Correlations for Network Traffic Compression

Universal and Succinct Source Coding of Deep Neural Networks


[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.

Restormer: Efficient Transformer for High-Resolution Image Restoration

Learning Enriched Features for Real Image Restoration and Enhancement

CycleISP: Real Image Restoration via Improved Data Synthesis

MPRNet: Multi-Path Residual Network for Lightweight Image Super Resolution

Parallel Diffusion Models of Operator and Image for Blind Inverse Problems

Not Just Streaks: Towards Ground Truth for Single Image Deraining

GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration

BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting

An Analysis of Multi-stage Progressive Image Restoration Network (MPRNet)


Code for CEDR: Contextualized Embeddings for Document Ranking, accepted at SIGIR 2019.

Pretrained Transformers for Text Ranking: BERT and Beyond

Hard Negatives or False Negatives: Correcting Pooling Bias in Training Neural Ranking Models

Lightweight Composite Re-Ranking for Efficient Keyword Search with BERT

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

IR like a SIR: Sense-enhanced Information Retrieval for Multiple Languages

Zenodo (CERN European Organization for Nuclear Research)

A Comparison of Supervised Learning to Match Methods for Product Search


General purpose Matlab toolbox

Interpolating the Directional Room Impulse Response for Dynamic Spatial Audio Reproduction

Cardiac forces regulate zebrafish heart valve delamination by modulating Nfat signaling

MYRiAD: A Multi-Array Room Acoustic Database

Phase resetting in human auditory cortex to visual speech

Birdsong fails to support object categorization in human infants

A method for realistic, conversational signal-to-noise ratio estimation

The Journal of the Acoustical Society of America

Pre-Stimulus Power but Not Phase Predicts Prefrontal Cortical Excitability in TMS-EEG

Oxytocin induces the formation of distinctive cortical representations and cognitions biased toward familiar mice

Similarity-based transfer learning of decision policies


Cancer Drug Response prediction using a Recommender System

Predicting Cancer Drug Response Using a Recommender System

Machine learning for multi-omics data integration in cancer

Improving drug response prediction by integrating multiple data sources: matrix factorization, kernel and network-based approaches

GraphITE: Estimating Individual Effects of Graph-structured Treatments

Computational Drug Repurposing Based on a Recommendation System and Drug–Drug Functional Pathway Similarity


Code for the paper "DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks" (ICCV '19)

International Conference on Computer Vision

Can You Read Me Now? Content Aware Rectification using Angle Supervision

Marior: Margin Removal and Iterative Content Rectification for Document Dewarping in the Wild


This is the code for the SpeechTokenizer presented in the SpeechTokenizer: Unified Speech Tokenizer for Speech Language Models. Samples are presented on

High-Fidelity Audio Compression with Improved RVQGAN

SpeechTokenizer: Unified Speech Tokenizer for Speech Large Language Models

Pheme: Efficient and Conversational Speech Generation

Language-Codec: Reducing the Gaps Between Discrete Codec Representation
  and Speech Language Models

DASB -- Discrete Audio and Speech Benchmark

WavTokenizer: an Efficient Acoustic Discrete Codec Tokenizer for Audio Language Modeling

Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model


SASRec: Self-Attentive Sequential Recommendation

BERT4Rec: Sequential Recommendation with Bidirectional Encoder Representations from Transformer

RetaGNN: Relational Temporal Attentive Graph Neural Networks for Holistic Sequential Recommendation

RecGURU: Adversarial Learning of Generalized User Representations for Cross-Domain Recommendation

Context and Attribute-Aware Sequential Recommendation via Cross-Attention

Proceedings of the 16th ACM Conference on Recommender Systems

Recommender AI Agent: Integrating Large Language Models for Interactive Recommendations

A Case Study on Sampling Strategies for Evaluating Neural Sequential Item Recommendation Models

Consistency-Aware Recommendation for User-Generated Item List Continuation

Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation

IEEE Transactions on Knowledge and Data Engineering

DiffuRec: A Diffusion Model for Sequential Recommendation


inetmanet branch of inet-framework 2.0

A New IEEE 802.15.4 Simulation Model for OMNeT++ / INET

DARAL: A Dynamic and Adaptive Routing Algorithm for Wireless Sensor Networks

mDARAL: A Multi-Radio Version for the DARAL Routing Algorithm

Statistical Analysis of the Main Configuration Parameters of the Network Dynamic and Adaptive Radio Protocol (DARP)

AntWMNet - A Hybrid Routing Algorithm for Wireless Mesh Networks Based on Ant Colony Optimisation


A PyTorch Platform for Distributed RL

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

TorchBeast: A PyTorch Platform for Distributed RL

MVFST-RL: An Asynchronous RL Framework for Congestion Control with Delayed Actions

CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents

Gossip-based Actor-Learner Architectures for Deep Reinforcement Learning

Avalon: A Benchmark for RL Generalization Using Procedurally Generated Worlds

Grid-to-Graph: Flexible Spatial Relational Inductive Biases for Reinforcement Learning

Hierarchical Kickstarting for Skill Transfer in Reinforcement Learning

Learning Achievement Structure for Structured Exploration in Domains with Sparse Reward


[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

Efficient Video Action Detection with Token Dropout and Context Refinement

Efficient Video Representation Learning via Motion-Aware Token Selection

VideoEval: Comprehensive Benchmark Suite for Low-Cost Evaluation of Video Foundation Model

CAST: Cross-Attention in Space and Time for Video Action Recognition


Monolingual wordlists with pronunciation information in IPA

RAVEL: Evaluating Interpretability Methods on Disentangling Language
  Model Representations

Learning to pronounce as measuring cross-lingual joint orthography-phonology complexity


Adversarial Natural Language Inference Benchmark

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Language Models are Few-Shot Learners

RoBERTa: A Robustly Optimized BERT Pretraining Approach

XLNet: Generalized Autoregressive Pretraining for Language Understanding

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

Adversarial NLI: A New Benchmark for Natural Language Understanding

Adversarial Training for Large Neural Language Models

Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models

InfoBERT: Improving Robustness of Language Models from An Information Theoretic Perspective

VALSE: A Task-Independent Benchmark for Vision and Language Models Centered on Linguistic Phenomena


Foreign Contamination Screening caller scripts and documentation

Rapid and sensitive detection of genome contamination at scale with FCS-GX

bioRxiv : the preprint server for biology

Genome and Genetic Engineering of the House Cricket (Acheta domesticus): A Resource for Sustainable Agriculture

Hiding in plain sight: Genome-wide recombination and a dynamic accessory genome drive diversity in Fusarium oxysporum f.sp. ciceris.

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

De novo transcriptome assembly of hyperaccumulating Noccaea praecox for gene discovery

Chromosome-Level Genome Assembly of the Cape Cliff Lizard (Hemicordylus capensis)

Genetic confirmation of Octopus insularis (Leite and Haimovici, 2008) in South Florida, United States using physical features and de novo genome assembly

Microbial Metabolites of 3-n-butylphthalide as Monoamine Oxidase A Inhibitors

International journal of molecular sciences

Draft assembly and annotation of the Cuban crocodile (Crocodylus rhombifer) genome


The ARTIC field bioinformatics pipeline

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

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

medRxiv : the preprint server for health sciences

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

Rapid in-country sequencing of whole virus genomes to inform rabies elimination programmes

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

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

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

SARS-CoV-2 Infection in Captive Hippos (Hippopotamus amphibius), Belgium

Animals : an open access journal from MDPI

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

Genomics of postvaccination SARS-CoV-2 infections during the Delta dominated second wave of COVID-19 pandemic, from Mumbai Metropolitan Region (MMR), India


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

From single neurons to behavior in the jellyfish Aurelia aurita

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

Mathematical methods in the applied sciences

Naut your everyday jellyfish model: Exploring how tentacles and oral arms impact locomotion

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

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

Diving into a simple anguilliform swimmer's sensitivity

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

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

Don't be jelly: Exploring effective jellyfish locomotion


CAIRI Supervised, Semi- and Self-Supervised Visual Representation Learning Toolbox and Benchmark

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

A Simple Framework for Contrastive Learning of Visual Representations

Momentum Contrast for Unsupervised Visual Representation Learning

mixup: Beyond Empirical Risk Minimization

Masked Autoencoders Are Scalable Vision Learners

Bootstrap your own latent: A new approach to self-supervised Learning

CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features

A ConvNet for the 2020s

Exploring Simple Siamese Representation Learning

Unsupervised Feature Learning via Non-Parametric Instance-level Discrimination


A set of Cartesian controllers for the ROS1 and ROS2-control framework.

Learning Human-Inspired Force Strategies for Robotic Assembly

SliceIt! -- A Dual Simulator Framework for Learning Robot Food Slicing

Learning Variable Compliance Control From a Few Demonstrations for
  Bimanual Robot with Haptic Feedback Teleoperation System


Multi-species size-based ecological modelling in R

mizer: an R package for multispecies, trait-based and community size spectrum ecological modelling


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

Making Privacy-preserving Federated Graph Analytics with Strong
  Guarantees Practical (for Certain Queries)

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

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


EGG: Emergence of lanGuage in Games

Compositionality and Generalization in Emergent Languages

Anti-efficient encoding in emergent communication

EGG: a toolkit for research on Emergence of lanGuage in Games

Entropy Minimization In Emergent Languages

Interpretable agent communication from scratch (with a generic visual processor emerging on the side)

Emergent Language Generalization and Acquisition Speed are not tied to Compositionality

Cross-Domain Image Captioning with Discriminative Finetuning

On the Relationship between Zipf’s Law of Abbreviation and Interfering Noise in Emergent Languages

International Joint Conference on Natural Language Processing

Referential communication in heterogeneous communities of pre-trained visual deep networks


Source code of openLCA


Python bindings for MPI

Machine Learning in Python: Main developments and technology trends in data science, machine learning, and artificial intelligence

Performance Evaluation of Python Parallel Programming Models: Charm4Py and mpi4py

Comparing weak lensing peak counts in baryonic correction models to hydrodynamical simulations

Monthly Notices of the Royal Astronomical Society

OMB-Py: Python Micro-Benchmarks for Evaluating Performance of MPI Libraries on HPC Systems


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


Albacore is a professional quality suite of Rake tasks for building .NET or Mono based systems.

Genetic Biomonitoring and Biodiversity Assessment Using Portable Sequencing Technologies: Current Uses and Future Directions

Long-fragment targeted capture for long read sequencing of plastomes

Anaerobic oxidation of propane coupled to nitrate reduction by a lineage within the class Symbiobacteriia

Complete Genome Sequence of the Novel Cellulolytic, Anaerobic, Thermophilic Bacterium Herbivorax saccincola Type Strain GGR1, Isolated from a Lab Scale Biogas Reactor as Established by Illumina and Nanopore MinION Sequencing

UNAGI: an automated pipeline for nanopore full-length cDNA sequencing uncovers novel transcripts and isoforms in yeast

Real-time, MinION-based, amplicon sequencing for lineage typing of infectious bronchitis virus from upper respiratory samples

Mobile Plasmid Mediated Transition From Colistin-Sensitive to Resistant Phenotype in Klebsiella pneumoniae

Complete plastome of three Korean Asarum (Aristolochiaceae): confirmation tripartite structure within Korean Asarum and comparative analyses

Draft Genome Sequence of the Lactococcus lactis 11/19-B1 Strain, Isolated from Kiwifruit


Eukaryotic Genome Annotation Pipeline

Emergence of the Ug99 lineage of the wheat stem rust pathogen through somatic hybridisation

Malassezia vespertilionis sp. nov.: a new cold-tolerant species of yeast isolated from bats

Persoonia - Molecular Phylogeny and Evolution of Fungi

BRAKER3: Fully automated genome annotation using RNA-seq and protein evidence with GeneMark-ETP, AUGUSTUS, and TSEBRA

Extreme sensitivity to ultraviolet light in the fungal pathogen causing white-nose syndrome of bats

Raphidocelis subcapitata (=Pseudokirchneriella subcapitata) provides an insight into genome evolution and environmental adaptations in the Sphaeropleales

De novo assembly and phasing of dikaryotic genomes from two isolates of Puccinia coronata f. sp. avenae, the causal agent of oat crown rust

Characterization of Aspergillus niger Isolated from the International Space Station

Insight into the Recent Genome Duplication of the Halophilic Yeast Hortaea werneckii: Combining an Improved Genome with Gene Expression and Chromatin Structure

Horseshoe crab genomes reveal the evolution of genes and microRNAs after three rounds of whole genome duplication

Chromosome level assembly and secondary metabolite potential of the parasitic fungus Cordyceps militaris


Python code related to DM calculations, estimations, and analysis

A census of baryons in the Universe from localized fast radio bursts

The low density and magnetization of a massive galaxy halo exposed by a fast radio burst

Probing Galactic haloes with fast radio bursts

Host Galaxy Properties and Offset Distributions of Fast Radio Bursts: Implications for Their Progenitors

The Host Galaxies and Progenitors of Fast Radio Bursts Localized with the Australian Square Kilometre Array Pathfinder

URSI General Assembly and Scientific Symposium

Characterizing the Fast Radio Burst Host Galaxy Population and its Connection to Transients in the Local and Extragalactic Universe

High time resolution and polarization properties of ASKAP-localized fast radio bursts

A Distant Fast Radio Burst Associated with Its Host Galaxy by the Very Large Array

A High-resolution View of Fast Radio Burst Host Environments

Polarization properties of FRB 20201124A from detections with the Effelsberg 100-m radio telescope


Julia solvers for systems of nonlinear equations and mixed complementarity problems

OVERT: An Algorithm for Safety Verification of Neural Network Control Policies for Nonlinear Systems

Optimal noise-canceling networks

Analysis of Theoretical and Numerical Properties of Sequential Convex Programming for Continuous-Time Optimal Control

Initialisation of a hybrid AC/DC power system for harmonic stability analysis using a power flow formulation

Particle Swarm Optimization-based co-state initialization for low-thrust minimum-fuel trajectory optimization

Pixel Arrays: A fast and elementary method for solving nonlinear systems

Order conditions for exponential integrators

MatsubaraFunctions.jl: An equilibrium Green's function library in the Julia programming language


Implementation of CoAP Server & Client in Go

Investigating Messaging Protocols for the Internet of Things (IoT)

CoAP-Based Streaming Control for IoT Applications

Agent-Based In-Vehicle Infotainment Services in Internet-of-Things Environments


Python tools for obtaining and working with ICESat-2 data

How Are Under Ice Phytoplankton Related to Sea Ice in the Southern Ocean?

NASA ICESat-2: Space-Borne LiDAR for Geological Education and Field Mapping of Aeolian Sand Dune Environments


USB: Universal-Scale Object Detection Benchmark (BMVC 2022)

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

MMDetection: Open MMLab Detection Toolbox and Benchmark

Swin Transformer V2: Scaling Up Capacity and Resolution

PVT v2: Improved baselines with Pyramid Vision Transformer

MetaFormer is Actually What You Need for Vision

ResNet strikes back: An improved training procedure in timm

Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection

Focal Modulation Networks

CBNet: A Composite Backbone Network Architecture for Object Detection

Scale-Equalizing Pyramid Convolution for Object Detection


This repository contains the official implementation of the research paper, "An Improved One millisecond Mobile Backbone".

MobileOne: An Improved One millisecond Mobile Backbone

RepGhost: A Hardware-Efficient Ghost Module via Re-parameterization

Efficient Modulation for Vision Networks


Java realization for Ciphertext-Policy Attribute-Based Encryption

Secure Data Storage and Sharing Techniques for Data Protection in Cloud Environments: A Systematic Review, Analysis, and Future Directions

P-MOD: Secure Privilege-Based Multilevel Organizational Data-Sharing in Cloud Computing

Security Architecture for Defining and Enforcing Security Profiles in DLT/SDN-Based IoT Systems

Preserving Smart Objects Privacy through Anonymous and Accountable Access Control for a M2M-Enabled Internet of Things

Efficient User-Centric Privacy-Friendly and Flexible Wearable Data Aggregation and Sharing

Too Many Options: A Survey of ABE Libraries for Developers


Reads simulator

LUMPY: a probabilistic framework for structural variant discovery

An amplicon-based sequencing framework for accurately measuring intrahost virus diversity using PrimalSeq and iVar

SyRI: finding genomic rearrangements and local sequence differences from whole-genome assemblies

A mosaic monoploid reference sequence for the highly complex genome of sugarcane

Polypolish: Short-read polishing of long-read bacterial genome assemblies

Combining tumor genome simulation with crowdsourcing to benchmark somatic single-nucleotide-variant detection

ExpansionHunter: a sequence-graph-based tool to analyze variation in short tandem repeat regions

The genome polishing tool POLCA makes fast and accurate corrections in genome assemblies

Ecology and evolution of viruses infecting uncultivated SUP05 bacteria as revealed by single-cell- and meta-genomics

Population scale mapping of transposable element diversity reveals links to gene regulation and epigenomic variation


Pytorch implementation of the ECCV 2020 paper: AtlantaNet: Inferring the 3D Indoor Layout from a Single 360 Image beyond the Manhattan World Assumption

HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features

State-of-the-art in Automatic 3D Reconstruction of Structured Indoor Environments

ECCV (8) - AtlantaNet: Inferring the 3D Indoor Layout from a Single
    360^∘
 Image Beyond the Manhattan World Assumption

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

Automatic modeling of cluttered multi‐room floor plans from panoramic images


DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets

ProphNet: Efficient Agent-Centric Motion Forecasting with Anchor-Informed Proposals

DenseTNT: Waymo Open Dataset Motion Prediction Challenge 1st Place Solution

Aware of the History: Trajectory Forecasting with the Local Behavior Data

VectorFlow: Combining Images and Vectors for Traffic Occupancy and Flow Prediction

Enhancing Mapless Trajectory Prediction through Knowledge Distillation


A list of tools, papers and code related to Deepfake Detection.

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

DeepRhythm: Exposing DeepFakes with Attentional Visual Heartbeat Rhythms

Sharp Multiple Instance Learning for DeepFake Video Detection

MM '20: PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON MULTIMEDIA

Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization

Spatiotemporal Inconsistency Learning for DeepFake Video Detection

FakeTagger: Robust Safeguards against DeepFake Dissemination via Provenance Tracking


A Dataset for Grounded Video Description

Grounded Video Description

Trends in Integration of Vision and Language Research: A Survey of Tasks, Datasets, and Methods

Consensus Graph Representation Learning for Better Grounded Image Captioning

Learning to Generate Grounded Visual Captions without Localization Supervision

Relational Graph Learning for Grounded Video Description Generation

A Comprehensive Review on Recent Methods and Challenges of Video Description

Team RUC_AIM3 Technical Report at ActivityNet 2021: Entities Object Localization

Event and Entity Extraction from Generated Video Captions


Creative Commons Attribution Share Alike 4.0 International

16 Synchronized Inputs USB (UAC2) Sound Card Based on XMOS xCORE-200

ODAS: Open embeddeD Audition System

3D Localization of a Sound Source Using Mobile Microphone Arrays Referenced by SLAM


Tensorflow implementation of Hyperspherical Variational Auto-Encoders

TensorFlow Distributions

Adversarial Autoencoders with Constant-Curvature Latent Manifolds


Zero-Resource Translation with Multi-Lingual Neural Machine Translation

Joint Copying and Restricted Generation for Paraphrase

A Systematic Study of Inner-Attention-Based Sentence Representations in Multilingual Neural Machine Translation

Meeting of the Association for Computational Linguistics

Improving Neural Machine Translation on resource-limited pairs using auxiliary data of a third language

Conference of the Association for Machine Translation in the Americas


This package implements both the discrete and continuous maximum likelihood estimators for fitting the power-law distribution to data. Additionally, a goodness-of-fit based approach is used to estimate the lower cutoff for the scaling region.

The precision of the arithmetic mean, geometric mean and percentiles for citation data: An experimental simulation modelling approach

Are the discretised lognormal and hooked power law distributions plausible for citation data?

Are there too many uncited articles? Zero inflated variants of the discretised lognormal and hooked power law distributions


[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

GANs Can Play Lottery Tickets Too

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

Assisting the Adversary to Improve GAN Training


Comparing fairness-aware machine learning techniques.

A comparative study of fairness-enhancing interventions in machine learning

Equalizing Recourse across Groups

FairPrep: Promoting Data to a First-Class Citizen in Studies on Fairness-Enhancing Interventions

Educating Software and AI Stakeholders About Algorithmic Fairness, Accountability, Transparency and Ethics

International Journal of Artificial Intelligence in Education

How fair can we go in machine learning? Assessing the boundaries of accuracy and fairness

International Journal of Intelligent Systems

Can I Trust My Fairness Metric? Assessing Fairness with Unlabeled Data and Bayesian Inference

Amazon SageMaker Clarify: Machine Learning Bias Detection and Explainability in the Cloud

Fair Adversarial Gradient Tree Boosting

Group Fairness in Prediction-Based Decision Making: From Moral Assessment to Implementation

The Right Tool for the Job: Open-Source Auditing Tools in Machine Learning


An implementation of Performer, a linear attention-based transformer, in Pytorch

Rethinking Attention with Performers

RoFormer: Enhanced Transformer with Rotary Position Embedding

GLU Variants Improve Transformer

ReZero is All You Need: Fast Convergence at Large Depth

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

Chess as a Testbed for Language Model State Tracking

Long-Range Modeling of Source Code Files with eWASH: Extended Window Access by Syntax Hierarchy

Tunet: A Block-Online Bandwidth Extension Model Based On Transformers And Self-Supervised Pretraining

Morphology-Preserving Autoregressive 3D Generative Modelling of the Brain

Nonparametric Modern Hopfield Models


Reinforcement Learning with Deep Energy-Based Policies

Composable Deep Reinforcement Learning for Robotic Manipulation

Policy Optimization as Wasserstein Gradient Flows

A Max-Min Entropy Framework for Reinforcement Learning

Diverse Policy Optimization for Structured Action Space


Get hourly meteorological data from one of thousands of global stations

COVID-19 pandemic dynamics in South Africa and epidemiological characteristics of three variants of concern (Beta, Delta, and Omicron)

Prospective forecasts of annual dengue hemorrhagic fever incidence in Thailand, 2010-2014

Development of Accurate Long-lead COVID-19 Forecast


Tools and Modeling Code for the MASSIVE dataset

MASSIVE: A 1M-Example Multilingual Natural Language Understanding Dataset with 51 Typologically-Diverse Languages

Transcending the "Male Code": Implicit Masculine Biases in NLP Contexts

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

Efficiently Aligned Cross-Lingual Transfer Learning for Conversational Tasks using Prompt-Tuning

Speech-MASSIVE: A Multilingual Speech Dataset for SLU and Beyond


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

Benchmarking Adversarial Robustness on Image Classification

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

DISCO: Adversarial Defense with Local Implicit Functions

RobFR: Benchmarking Adversarial Robustness on Face Recognition

Geometrically Adaptive Dictionary Attack on Face Recognition

Adversarial Attacks on ML Defense Models Competition

Automated Decision-based Adversarial Attacks

Evaluating Adversarial Robustness on Document Image Classification


Kinematic and static rupture forward modeling and inversion code

Sub- and super-shear ruptures during the 2023 Mw 7.8 and Mw 7.6 earthquake doublet in SE Türkiye

Microzoning Tsunami Hazard by Combining Flow Depths and Arrival Times

Source Model and Characteristics of the 27 July 2022 MW 7.0 Northwestern Luzon Earthquake, Philippines

Rupture Models of the 2016 Central Italy Earthquake Sequence from Joint Inversion of Strong-Motion and InSAR Datasets: Implications for Fault Behavior

The 2020 Mw 7.0 Samos (Eastern Aegean Sea) Earthquake: joint source inversion of multitype data, and tsunami modelling


An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.

Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances

Skeleton-bridged Point Completion: From Global Inference to Local Adjustment

NeAT: Learning Neural Implicit Surfaces with Arbitrary Topologies from Multi-view Images

Neural LiDAR Fields for Novel View Synthesis

Mosaic-SDF for 3D Generative Models

Towards 3D VR-Sketch to 3D Shape Retrieval

3D VR Sketch Guided 3D Shape Prototyping and Exploration

Prediction of yield surface of single crystal copper from discrete dislocation dynamics and geometric learning

Living Scenes: Multi-object Relocalization and Reconstruction in Changing 3D Environments

Towards Safer Robot-Assisted Surgery: A Markerless Augmented Reality Framework


Flexible Stellar Population Synthesis

Deriving Physical Properties from Broadband Photometry with Prospector: Description of the Model and a Demonstration of its Accuracy Using 129 Galaxies in the Local Universe

Nebular Continuum and Line Emission in Stellar Population Synthesis Models

A Redshift-independent Efficiency Model: Star Formation and Stellar Masses in Dark Matter Halos at z ≳ 4

A massive, quiescent, population II galaxy at a redshift of 2.1

Fast, Slow, Early, Late: Quenching Massive Galaxies at z ∼ 0.8

The Palomar Transient Factory Core-collapse Supernova Host-galaxy Sample. I. Host-galaxy Distribution Functions and Environment Dependence of Core-collapse Supernovae

The Astrophysical Journal Supplement Series

Stochastic modelling of star-formation histories I: the scatter of the star-forming main sequence

Monthly notices of the Royal Astronomical Society

Full spectrum fitting with photometry in ppxf: stellar population versus dynamical masses, non-parametric star formation history and metallicity for 3200 LEGA-C galaxies at redshift z ≈ 0.8

The Three Hundred project: The gizmo-simba run

ETHOS - an effective theory of structure formation: predictions for the high-redshift Universe - abundance of galaxies and reionization.


End-to-end training of sparse deep neural networks with little-to-no performance loss.

SNIP: Single-shot Network Pruning based on Connection Sensitivity

Sparse Networks from Scratch: Faster Training without Losing Performance

Gradient Flow in Sparse Neural Networks and How Lottery Tickets Win

The State of Sparse Training in Deep Reinforcement Learning

Accurate Neural Network Pruning Requires Rethinking Sparse Optimization

[Reproducibility Report] Rigging the Lottery: Making All Tickets Winners

A Survey of Lottery Ticket Hypothesis


The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761

A Corpus for Multilingual Document Classification in Eight Languages

Don't Use English Dev: On the Zero-Shot Cross-Lingual Evaluation of Contextual Embeddings

Semi-supervised Contextual Historical Text Normalization


Turn Tweet IDs into Twitter JSON & CSV from your desktop!

Studying Reddit: A Systematic Overview of Disciplines, Approaches, Methods, and Ethics

Topics, Trends, and Sentiments of Tweets About the COVID-19 Pandemic: Temporal Infoveillance Study

Large Arabic Twitter Dataset on COVID-19

#Election2020: the first public Twitter dataset on the 2020 US Presidential election

Sentiment Analysis on COVID-19-Related Social Distancing in Canada Using Twitter Data

International journal of environmental research and public health

CoVaxxy: A Collection of English-language Twitter Posts About COVID-19 Vaccines

Tweets in Time of Conflict: A Public Dataset Tracking the Twitter Discourse on the War Between Ukraine and Russia

Cross-platform spread: vaccine-related content, sources, and conspiracy theories in YouTube videos shared in early Twitter COVID-19 conversations

COVID-19 Twitter Dataset with Latent Topics, Sentiments and Emotions Attributes

A Stance Data Set on Polarized Conversations on Twitter about the Efficacy of Hydroxychloroquine as a Treatment for COVID-19


Python interface of cpptraj

Allosteric Modulation of the CB1 Cannabinoid Receptor by Cannabidiol—A Molecular Modeling Study of the N-Terminal Domain and the Allosteric-Orthosteric Coupling

5-Nitroisoxazoles in SNAr Reactions: A Novel Chemo- and Regioselective Approach to Isoxazole-Based Bivalent Ligands of AMPA Receptors

International journal of molecular sciences

Theoretical insights into the molecular mechanism of I117V mutation in neuraminidase mediated reduction of oseltamivir drug susceptibility in A/H5N1 influenza virus

Conformational Change of Tetratricopeptide Repeats Region Triggers Activation of Phytochrome-Associated Protein Phosphatase 5


Open source lung ultrasound (LUS) data collection initiative for COVID-19.

Lung Infection Quantification of COVID-19 in CT Images with Deep Learning

POCOVID-Net: Automatic Detection of COVID-19 From a New Lung Ultrasound Imaging Dataset (POCUS)

Accelerating Detection of Lung Pathologies with Explainable Ultrasound Image Analysis

COVID-19 Control by Computer Vision Approaches: A Survey

IEEE access : practical innovations, open solutions

Quantum ReLU activation for Convolutional Neural Networks to improve diagnosis of Parkinson's disease and COVID-19

Role of Artificial Intelligence in COVID-19 Detection

Review of Machine Learning in Lung Ultrasound in COVID-19 Pandemic

Pulmonary COVID-19: Learning Spatiotemporal Features Combining CNN and LSTM Networks for Lung Ultrasound Video Classification

Combating COVID-19 Using Generative Adversarial Networks and Artificial Intelligence for Medical Images: Scoping Review

ACCELERATING COVID-19 DIFFERENTIAL DIAGNOSISWITH EXPLAINABLE ULTRASOUND IMAGE ANALYSIS: AN AI TOOL


The open source Vue.js frontend (mobile and cordova app) for the argentinian carpooling application: Carpoolear


A python package to run contextualized topic modeling. CTMs combine contextualized embeddings (e.g., BERT) with topic models to get coherent topics. Published at EACL and ACL 2021 (Bianchi et al.).

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

Cross-lingual Contextualized Topic Models with Zero-shot Learning

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

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

DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM


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


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

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

Global chromatin conformation differences in the Drosophila dosage compensated chromosome X

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

Computational and structural biotechnology journal


BSR-Based Allele Calling Algorithm

chewBBACA: A complete suite for gene-by-gene schema creation and strain identification

A Core Genome Multilocus Sequence Typing Scheme for Pseudomonas aeruginosa

Genome–scale approach to study the genetic relatedness among Brucella melitensis strains

Nontuberculous Mycobacteria Persistence in a Cell Model Mimicking Alveolar Macrophages

Campylobacter jejuni in Different Canine Populations: Characteristics and Zoonotic Potential

Genomic Background and Phylogeny of cfiA-Positive Bacteroides fragilis Strains Resistant to Meropenem-EDTA

Clonal Spread of pESI-Positive Multidrug-Resistant ST32 Salmonella enterica Serovar Infantis Isolates among Broilers and Humans in Slovenia

Survey on Carbapenem-Resistant Bacteria in Pigs at Slaughter and Comparison with Human Clinical Isolates in Italy

Atypical Serogroup IVb-v1 of Listeria monocytogenes Assigned to New ST2801, Widely Spread and Persistent in the Environment of a Pork-Meat Producing Plant of Central Italy

Software testing in microbial bioinformatics: a call to action


Fermat's Last Theorem for regular primes

Formalized Class Group Computations and Integral Points on Mordell Elliptic Curves

Formalization of p-adic L-functions in Lean 3


Python package for graph neural networks in chemistry and biology

Recent advances and applications of deep learning methods in materials science

Molecular Property Prediction: A Multilevel Quantum Interactions Modeling Perspective

DGL-LifeSci: An Open-Source Toolkit for Deep Learning on Graphs in Life Science

Deep Retrosynthetic Reaction Prediction using Local Reactivity and Global Attention

Benchmarking Accuracy and Generalizability of Four Graph Neural Networks Using Large In Vitro ADME Datasets from Different Chemical Spaces

Addressing Over-Smoothing in Graph Neural Networks via Deep Supervision

Zeroth-Order SciML: Non-intrusive Integration of Scientific Software with Deep Learning


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

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)

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

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

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

Standardized Phylogenetic Classification of Human Respiratory Syncytial Virus Below the Subgroup Level


DSMR-telegram reader & data visualizer for hobbyists. Free for non-commercial use.


Causal Discovery in Python. It also includes (conditional) independence tests and score functions.

gCastle: A Python Toolbox for Causal Discovery

Causal-learn: Causal Discovery in Python

Greedy Relaxations of the Sparsest Permutation Algorithm

CausalRCA: Causal Inference based Precise Fine-grained Root Cause Localization for Microservice Applications

MissDAG: Causal Discovery in the Presence of Missing Data with Continuous Additive Noise Models

A Survey on Causal Discovery Methods for I.I.D. and Time Series Data

Original or Translated? A Causal Analysis of the Impact of Translationese on Machine Translation Performance

Structure Learning with Continuous Optimization: A Sober Look and Beyond

Independence Testing-Based Approach to Causal Discovery under Measurement Error and Linear Non-Gaussian Models

Evaluation of Induced Expert Knowledge in Causal Structure Learning by NOTEARS


Tools for ggplot2 scales

Leaf shape in Populus tremula is a complex, omnigenic trait

rigrag: high-resolution mapping of genic targeting preferences during HIV-1 integration in vitro and in vivo

Emergence of distinct syntenic density regimes is associated with early metazoan genomic transitions

Hunter-gatherer admixture facilitated natural selection in Neolithic European farmers

Multiple decrement life tables of Cephus cinctus Norton (Hymenoptera: Cephidae) across a set of barley cultivars: The importance of plant defense versus cannibalism

Public health interventions successfully mitigated multiple incursions of SARS-CoV-2 Delta variant in the Australian Capital Territory


Wild Me's first product, Wildbook supports researchers by allowing collaboration across the globe and automation of photo ID matching


Redis adapted to use Persistent Memory

Basic Performance Measurements of the Intel Optane DC Persistent Memory Module

Vilamb: Low Overhead Asynchronous Redundancy for Direct Access NVM

NearPM: A Near-Data Processing System for Storage-Class Applications

WITCHER : Detecting Crash Consistency Bugs in Non-volatile Memory
  Programs

Tvarak: Software-managed hardware offload for DAX NVM storage redundancy


Hiera: A fast, powerful, and simple hierarchical vision transformer.

Deep Residual Learning for Image Recognition

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

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Masked Autoencoders Are Scalable Vision Learners

Multiscale Vision Transformers

Hiera: A Hierarchical Vision Transformer without the Bells-and-Whistles


ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet

Not All Images are Worth 16x16 Words: Dynamic Transformers for Efficient Image Recognition

Efficient Training of Visual Transformers with Small Datasets

KDEformer: Accelerating Transformers via Kernel Density Estimation

Blending Anti-Aliasing into Vision Transformer

What Makes for Good Tokenizers in Vision Transformer?

Graph Convolutional Networks based on manifold learning for semi-supervised image classification

Spatial Entropy as an Inductive Bias for Vision Transformers

Revisiting Deep Ensemble for Out-of-Distribution Detection: A Loss Landscape Perspective

SBCFormer: Lightweight Network Capable of Full-size ImageNet Classification at 1 FPS on Single Board Computers


Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

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

Unsupervised Representation Learning for Time Series with Temporal Neighborhood Coding

A Survey on Time-Series Pre-Trained Models

Self-Supervised Time Series Representation Learning by Inter-Intra Relational Reasoning

Pixel-wise Agricultural Image Time Series Classification: Comparisons and a Deformable Prototype-based Approach


A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources

Side Information Fusion for Recommender Systems over Heterogeneous Information Network

Learning with Heterogeneous Side Information Fusion for Recommender Systems.


Deep Learning for Person Re-identification:  A Survey and Outlook

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

ABD-Net: Attentive but Diverse Person Re-Identification

A Little Bit Attention Is All You Need for Person Re-Identification


Norwegian Named Entities annotations on top of NDT (Norwegian Dependency Treebank)

Large-Scale Contextualised Language Modelling for Norwegian

NorNE: Annotating Named Entities for Norwegian

NorBench -- A Benchmark for Norwegian Language Models

BRENT: Bidirectional Retrieval Enhanced Norwegian Transformer


ROS compatible tool to generate Allan Deviation plots

FusionPortable: A Multi-Sensor Campus-Scene Dataset for Evaluation of Localization and Mapping Accuracy on Diverse Platforms

Multimodal Dataset for Localization, Mapping and Crop Monitoring in Citrus Tree Farms

FAST-LIO, Then Bayesian ICP, Then GTSFM

TAIL: A Terrain-Aware Multi-Modal SLAM Dataset for Robot Locomotion in
  Deformable Granular Environments


Coronavirus (COVID-19) UK Historical Data

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

Open Data Resources for Fighting COVID-19

Testing and tracking in the UK: A dynamic causal modelling study

COVID-19 incidence and R decreased on the Isle of Wight after the launch of the Test, Trace, Isolate programme

Tracking and tracing in the UK: a dynamic causal modelling study

Visualising the Evolution of English Covid-19 Cases with Topological Data Analysis Ball Mapper


Links to Russian corpora + Python functions for loading and parsing

M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection

Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian

A Family of Pretrained Transformer Language Models for Russian

Razmecheno: Named Entity Recognition from Digital Archive of Diaries "Prozhito"

RuBLiMP: Russian Benchmark of Linguistic Minimal Pairs


Oxford Nanopore Technologies fast5 API software

Fast nanopore sequencing data analysis with SLOW5

Detection of Viral Pathogens With Multiplex Nanopore MinION Sequencing: Be Careful With Cross-Talk

Methylartist: tools for visualizing modified bases from nanopore sequence data

Telomere-to-telomere assemblies of 142 strains characterize the genome structural landscape in Saccharomyces cerevisiae

Concerted modification of nucleotides at functional centers of the ribosome revealed by single-molecule RNA modification profiling

Barcode aware adaptive sampling for GridION and PromethION Oxford Nanopore sequencers

Benchmarking of computational methods for m6A profiling with Nanopore direct RNA sequencing

Distinct epigenetic signatures of classical and hypervirulent Klebsiella pneumoniae

Whole-genome DNA methylome analysis of different developmental stages of the entomopathogenic fungus Beauveria bassiana NCHU-157 by nanopore sequencing

Multiple strategies, including 6mA methylation, affecting plant alternative splicing in allopolyploid peanut


End-To-End Memory Network using Tensorflow

End-To-End Memory Networks

Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

Multi-Relational Question Answering from Narratives: Machine Reading and Reasoning in Simulated Worlds

t-Exponential Memory Networks for Question-Answering Machines

Learning to Organize Knowledge with N-Gram Machines

Think Visually: Question Answering through Virtual Imagery

Learning to Organize Knowledge and Answer Questions with N-Gram Machines

A2P-MANN: Adaptive Attention Inference Hops Pruned Memory-Augmented Neural Networks.


Collection of datasets used for Optical Music Recognition

CVC-MUSCIMA: a ground truth of handwritten music score images for writer identification and staff removal

International Journal on Document Analysis and Recognition (IJDAR)

The MUSCIMA++ Dataset for Handwritten Optical Music Recognition

International Conference on Document Analysis and Recognition

From Optical Music Recognition to Handwritten Music Recognition: A baseline

Towards a Standard Testbed for Optical Music Recognition: Definitions, Metrics, and Page Images

Optical Music Recognition with Convolutional Sequence-to-Sequence Models

Recognition of Pen-Based Music Notation: The HOMUS Dataset

International Conference on Pattern Recognition

Learning Audio–Sheet Music Correspondences for Cross-Modal Retrieval and Piece Identification

Transactions of the International Society for Music Information Retrieval

DeepScores-A Dataset for Segmentation, Detection and Classification of Tiny Objects

Towards a Universal Music Symbol Classifier

Towards Self-Learning Optical Music Recognition

International Conference on Machine Learning and Applications


Pytorch Implementation of DeepLog.

Log-based Anomaly Detection with Deep Learning: How Far Are We?

Proceedings of the 44th International Conference on Software Engineering

DeepAID: Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications

Conference on Computer and Communications Security

SoK: Modeling Explainability in Security Analytics for Interpretability, Trustworthiness, and Usability


The Impact of DNA Polymerase and Number of Rounds of Amplification in PCR on 16S rRNA Gene Sequence Data

Endosymbiont interference and microbial diversity of the Pacific coast tick, Dermacentor occidentalis, in San Diego County, California

The Water Microbiome Through a Pilot Scale Advanced Treatment Facility for Direct Potable Reuse

The prevalence and transcriptional activity of the mucosal microbiota of ulcerative colitis patients

Gut Microbiota Predict Enterococcus Expansion but Not Vancomycin-Resistant Enterococcus Acquisition

Longitudinal genomic surveillance of carriage and transmission of Clostridioides difficile in an intensive care unit

Influence of Colostrum and Vitamins A, D3, and E on Early Intestinal Colonization of Neonatal Holstein Calves Infected with Mycobacterium avium subsp. paratuberculosis

Galacto-oligosaccharides fed during gestation increase Rotavirus A specific antibodies in sow colostrum, modulate the microbiome, and reduce infectivity in neonatal piglets in a commercial farm setting

Assessing the validity of fecal sampling for characterizing variation in threespine stickleback’s gut microbiota

Shifts in the swine nasal microbiota following Bordetella bronchiseptica challenge in a longitudinal study


Official Implementation for "ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement" (ICCV 2021) https://arxiv.org/abs/2104.02699

Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation

Designing an Encoder for StyleGAN Image Manipulation

Towards IID representation learning and its application on biomedical data

k-SALSA: k-Anonymous Synthetic Averaging of Retinal Images via Local Style Alignment


The Python library for names.

Comparison of machine-learning algorithms for the prediction of Current Procedural Terminology (CPT) codes from pathology reports

Teaching Language Models to Hallucinate Less with Synthetic Tasks

Agent Smith: A Single Image Can Jailbreak One Million Multimodal LLM
  Agents Exponentially Fast

Topic Modeling on Podcast Short-Text Metadata

EVI: Multilingual Spoken Dialogue Tasks and Dataset for Knowledge-Based Enrolment, Verification, and Identification


New version: Grasp2K relativistic atomic structure package

GRASP2018-A Fortran 95 version of the General Relativistic Atomic Structure Package

The 3D non-LTE solar nitrogen abundance from atomic lines

Extended atomic data for oxygen abundance analyses

Electron correlation in the lanthanides: 4 f 2 spectrum of Ce 2 +

Extended MCDHF calculations of energy levels and transition data for N I

Deep-learning approach for the atomic configuration interaction problem on large basis sets


Code repo for "WebArena: A Realistic Web Environment for Building Autonomous Agents"

Hierarchical Prompting Assists Large Language Model on Web Navigation

Do Multimodal Foundation Models Understand Enterprise Workflows? A Benchmark for Business Process Management Tasks

AgentGym: Evolving Large Language Model-based Agents across Diverse Environments


Tools test whether admixture occurred and more

Reconstructing the Deep Population History of Central and South America

The comparative genomics and complex population history of Papio baboons

On the limits of fitting complex models of population history to f-statistics

Genome of a middle Holocene hunter-gatherer from Wallacea

Human population dynamics and Yersinia pestis in ancient northeast Asia

Interactions between earliest Linearbandkeramik farmers and central European hunter gatherers at the dawn of European Neolithization

Indian genetic heritage in Southeast Asian populations

Genetics and Material Culture Support Repeated Expansions into Paleolithic Eurasia from a Population Hub Out of Africa

Genomic insights into rapid speciation within the world’s largest tree genus Syzygium

Population dynamics and genetic connectivity in recent chimpanzee history


Recurrent Models of Visual Attention

Deep Attention Recurrent Q-Network

Learning from the memory of Atari 2600


a MUSHRA compliant web audio API based experiment software

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

Speaking Style Conversion in the Waveform Domain Using Discrete Self-Supervised Units

Audio Editing with Non-Rigid Text Prompts

On the Use of Autoregressive Methods for Audio Inpainting


Basic operations on the space of numerical functions defined on the genome using lazy evaluators for flexibility and efficiency

WiggleTools: parallel processing of large collections of genome-wide datasets for visualization and statistical analysis

The sex-specific factor SOA controls dosage compensation in Anopheles mosquitoes

The transcription factor HIF2α partakes in the differentiation block of acute myeloid leukemia

Gene Regulatory Interactions at Lamina-Associated Domains

Pergola: Boosting Visualization and Analysis of Longitudinal Data by Unlocking Genomic Analysis Tools

Cellular and Genomic Features of Muscle Differentiation from Isogenic Fibroblasts and Myoblasts


E(2)-Equivariant CNNs Library for Pytorch

Steerable CNNs

General E(2)-Equivariant Steerable CNNs

Rotation Equivariant Siamese Networks for Tracking

Visual Representation Learning Does Not Generalize Strongly Within the Same Domain

Fanaroff–Riley classification of radio galaxies using group-equivariant convolutional neural networks

Equivariant neural networks for inverse problems

Steerable Partial Differential Operators for Equivariant Neural Networks

A Data and Compute Efficient Design for Limited-Resources Deep Learning

Rotation-Scale Equivariant Steerable Filters

Deep Neural Networks with Efficient Guaranteed Invariances


An artificial intelligence platform for the StarCraft II with large-scale distributed training and grand-master agents.

Large Language Models Play StarCraft II: Benchmarks and A Chain of Summarization Approach

On Efficient Reinforcement Learning for Full-length Game of StarCraft II

EnvGen: Generating and Adapting Environments via LLMs for Training
  Embodied Agents


Tools for processing and analyzing structural variants.

Mapping and characterization of structural variation in 17,795 human genomes

Drivers and dynamics of a massive adaptive radiation in cichlid fishes

Functional equivalence of genome sequencing analysis pipelines enables harmonized variant calling across human genetics projects

A genome-wide association study for gut metagenome in Chinese adults illuminates complex diseases

svtools: population-scale analysis of structural variation


Ontology for consent codes and data use requirements

International data governance for neuroscience

Children’s rare disease cohorts: an integrative research and clinical genomics initiative

The Data Use Ontology to streamline responsible access to human biomedical datasets

Consent Receipts for a Usable and Auditable Web of Personal Data

Design choices for productive, secure, data-intensive research at scale in the cloud

Policy-aware data lakes: a flexible approach to achieve legal interoperability for global research collaborations

Leveraging Algorithms to Improve Decision-Making Workflows for Genomic Data Access and Management

Implementation of Privacy and Security for a Genomic Information System Based on Standards

Essential requirements for establishing and operating data trusts: practical guidance based on a working meeting of fifteen Canadian organizations and initiatives

A five-safes approach to a secure and scalable genomics data repository


Property fuzzing for OCaml

Coverage guided, property based testing

Proceedings of the ACM on Programming Languages

FormatFuzzer: Effective Fuzzing of Binary File Formats

Random testing of a higher-order blockchain language (experience report)

Proceedings of the ACM on programming languages

Covering All the Bases: Type-Based Verification of Test Input Generators


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

T cell fate and clonality inference from single-cell transcriptomes

T Cell Receptor Profiling in Type 1 Diabetes

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

Opposing immune and genetic forces shape oncogenic programs in synovial sarcoma


Python implementation of the TT-Toolbox

Exponential Machines

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

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

Tensor Train decomposition on TensorFlow (T3F)

Calculating vibrational spectra of molecules using tensor train decomposition.

Sobol Tensor Trains for Global Sensitivity Analysis

Ergodic Exploration Using Tensor Train: Applications in Insertion Tasks

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

Iterative Power Algorithm for Global Optimization with Quantics Tensor Trains

Journal of chemical theory and computation

tntorch: Tensor Network Learning with PyTorch


Benchmarking synthetic data generation methods.

Modeling Tabular data using Conditional GAN

Benchmarking Differentially Private Synthetic Data Generation Algorithms

STaSy: Score-based Tabular data Synthesis

TableGAN-MCA: Evaluating Membership Collisions of GAN-Synthesized Tabular Data Releasing

Differentially Private Release of Israel's National Registry of Live
  Births

Effective and Privacy preserving Tabular Data Synthesizing

MargCTGAN: A "Marginally'' Better CTGAN for the Low Sample Regime

Composable Generative Models

Improving Correlation Capture in Generating Imbalanced Data using Differentially Private Conditional GANs


Collection of tools for analyzing open source packages.

Practical Automated Detection of Malicious npm Packages

Bad Snakes: Understanding and Improving Python Package Index Malware Scanning

On the Feasibility of Cross-Language Detection of Malicious Packages in npm and PyPI

Asia-Pacific Computer Systems Architecture Conference

Malicious Package Detection in NPM and PyPI using a Single Model of Malicious Behavior Sequence


Finite DIfference microMAGnetic code, based on Python, Cython and C

Binding a hopfion in a chiral magnet nanodisk

Driving magnetic skyrmions with microwave fields

Magnon-Driven Domain-Wall Motion with the Dzyaloshinskii-Moriya Interaction

Micromagnetics and spintronics: models and numerical methods

Tomorrow’s micromagnetic simulations

Microwave-induced dynamic switching of magnetic skyrmion cores in nanodots

Nanoscale magnetic skyrmions and target states in confined geometries

Fidimag – A Finite Difference Atomistic and Micromagnetic Simulation Package

Proposal for a micromagnetic standard problem for materials with Dzyaloshinskii–Moriya interaction

User interfaces for computational science: A domain specific language for OOMMF embedded in Python


PyTorch implementation of FastSurferCNN

FastSurfer - A fast and accurate deep learning based neuroimaging pipeline

Split-Attention U-Net: A Fully Convolutional Network for Robust Multi-Label Segmentation from Brain MRI

FastSurferVINN: Building Resolution-Independence into Deep Learning Segmentation Methods -- A Solution for HighRes Brain MRI

CerebNet: A fast and reliable deep-learning pipeline for detailed cerebellum sub-segmentation

Automatic segmentation of the thalamus using a massively trained 3D convolutional neural network: higher sensitivity for the detection of reduced thalamus volume by improved inter-scanner stability

A Quantitative Imaging Biomarker Supporting Radiological Assessment of Hippocampal Sclerosis Derived From Deep Learning-Based Segmentation of T1w-MRI

Generalizability of treatment outcome prediction in major depressive disorder using structural MRI: A NeuroPharm study

Recommended Implementation of Quantitative Susceptibility Mapping for Clinical Research in The Brain: A Consensus of the ISMRM Electro-Magnetic Tissue Properties Study Group.

Single-subject analysis of regional brain volumetric measures can be strongly influenced by the method for head size adjustment


SBOL Enhancement Proposals

The Synthetic Biology Open Language (SBOL) Version 3: Simplified Data Exchange for Bioengineering

Frontiers in bioengineering and biotechnology

Synthetic Biology Open Language (SBOL) Version 2.3

Synthetic Biology Open Language (SBOL) Version 2.2.0


Python-based Astronomical image reprojection :milky_way: - maintainer @astrofrog

SuperBoRG: Search for the Brightest of Reionizing Galaxies and Quasars in HST Parallel Imaging Data

The Astrophysical Journal Supplement Series

Evolution of Nonparametric Morphology of Galaxies in the JWST CEERS Field at z ≃ 0.8–3.0

Spatially resolved mass-metallicity relation at z~0.26 from the
  MUSE-Wide Survey

Cosmic-CoNN: A Cosmic-Ray Detection Deep-learning Framework, Data Set, and Toolkit

Morphology of Galaxies in JWST Fields: Initial Distribution and Evolution of Galaxy Morphology

Evolution of Non-parametric Morphology of Galaxies in the JWST CEERS Field at z≃0.8-3.0

Cosmic evolution of FRI and FRII sources out to z=2.5


Enabling interoperability and scalability in ocean sonar data analysis

Echopype: A Python library for interoperable and scalable processing of water column sonar data for biological information


Mathematical Components compliant Analysis Library

CoqQ: Foundational Verification of Quantum Programs

Competing Inheritance Paths in Dependent Type Theory: A Case Study in Functional Analysis

Validating Mathematical Structures

A Coq Formalization of Lebesgue Integration of Nonnegative Functions

A Formal Proof of PAC Learnability for Decision Stumps

Measure Construction by Extension in Dependent Type Theory with Application to Integration

A Coq Formalization of the Bochner integral

PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition


Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks

SPFlow: An Easy and Extensible Library for Deep Probabilistic Learning using Sum-Product Networks

Sum-product networks: A survey

Probabilistic Circuits That Know What They Don't Know