An open-source neural machine translation toolkit developed by Tsinghua Natural Language Processing Group

Attention Is All You Need

Neural Machine Translation by Jointly Learning to Align and Translate

Self-Attention with Relative Position Representations

Improving the Transformer Translation Model with Document-Level Context

Modeling Localness for Self-Attention Networks

Accelerating Neural Transformer via an Average Attention Network

THUMT: An Open Source Toolkit for Neural Machine Translation

Dynamic Context Selection for Document-level Neural Machine Translation via Reinforcement Learning

IsarStep: a Benchmark for High-level Mathematical Reasoning

Shared-Private Bilingual Word Embeddings for Neural Machine Translation


A Toolbox for Adversarial Robustness Research

Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples

Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX

Adversarial Examples on Object Recognition: A Comprehensive Survey

Composite Adversarial Attacks

MALI: A memory efficient and reverse accurate integrator for Neural ODEs

SpoC: Spoofing Camera Fingerprints

Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense

Improving Neural Network Robustness via Persistency of Excitation

Instance Correction for Learning with Open-set Noisy Labels


BERT score for text generation

BERTScore: Evaluating Text Generation with BERT

BLEURT: Learning Robust Metrics for Text Generation

BRIO: Bringing Order to Abstractive Summarization

DiffuSeq: Sequence to Sequence Text Generation with Diffusion Models

Automatic Machine Translation Evaluation in Many Languages via Zero-Shot Paraphrasing

TRUE: Re-evaluating Factual Consistency Evaluation

CM3: A Causal Masked Multimodal Model of the Internet

Like hiking? You probably enjoy nature: Persona-grounded Dialog with Commonsense Expansions

De-Biased Court's View Generation with Causality

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

Evaluating Question Answering Evaluation

Empirical Methods in Natural Language Processing


IEA Task 43: pre-construction energy estimate data standard repository


This tool parses log data and allows to define analysis pipelines for anomaly detection. It was designed to run the analysis with limited resources and lowest possible permissions to make it suitable for production server use.

AMiner: A Modular Log Data Analysis Pipeline for Anomaly-based Intrusion Detection

Behavior-Based Anomaly Detection in Log Data of Physical Access Control Systems

IEEE Transactions on Dependable and Secure Computing/IEEE transactions on dependable and secure computing


A simple but complete full-attention transformer with a set of promising experimental features from various papers

Highly accurate protein structure prediction with AlphaFold

High-Resolution Image Synthesis with Latent Diffusion Models

Transformers without Tears: Improving the Normalization of Self-Attention

Augmenting Self-attention with Persistent Memory

LRM: Large Reconstruction Model for Single Image to 3D

Memory Transformer

MedGPT: Medical Concept Prediction from Clinical Narratives

Exposing Attention Glitches with Flip-Flop Language Modeling

Vector Quantized Time Series Generation with a Bidirectional Prior Model

Masked Generative Modeling with Enhanced Sampling Scheme


A Fast and Extensible DRAM Simulator, with built-in support for modeling many different DRAM technologies including DDRx, LPDDRx, GDDRx, WIOx, HBMx, and various academic proposals. Described in the IEEE CAL 2015 paper by Kim et al. at http://users.ece.cmu.edu/~omutlu/pub/ramulator_dram_simulator-ieee-cal15.pdf

Understanding Reduced-Voltage Operation in Modern DRAM Devices

GRIM-Filter: Fast seed location filtering in DNA read mapping using processing-in-memory technologies

D-RaNGe: Using Commodity DRAM Devices to Generate True Random Numbers with Low Latency and High Throughput

Understanding and Improving the Latency of DRAM-Based Memory Systems

FIGARO: Improving System Performance via Fine-Grained In-DRAM Data Relocation and Caching

SynCron: Efficient Synchronization Support for Near-Data-Processing Architectures

Enabling the Adoption of Processing-in-Memory: Challenges, Mechanisms,
  Future Research Directions

QUAC-TRNG: High-Throughput True Random Number Generation Using Quadruple Row Activation in Commodity DRAM Chips

CLR-DRAM: A Low-Cost DRAM Architecture Enabling Dynamic Capacity-Latency Trade-Off

Enabling Practical Processing in and near Memory for Data-Intensive
  Computing


Read-based phasing of genomic variants, also called haplotype assembly

Haplotype-aware variant calling with PEPPER-Margin-DeepVariant enables high accuracy in nanopore long-reads

Organ-specific genome diversity of replication-competent SARS-CoV-2

A graph-based approach to diploid genome assembly

Genotyping, sequencing and analysis of 140,000 adults from Mexico City

A chromosome-level reference genome and pangenome for barn swallow population genomics


A cloud platform for greenhouse gas (GHG) data analysis and collaboration.


CLIP (Contrastive Language-Image Pretraining),  Predict the most relevant text snippet given an image

Learning Transferable Visual Models From Natural Language Supervision

Photorealistic Text-to-Image Diffusion Models with Deep Language
  Understanding

On the Opportunities and Risks of Foundation Models

Learning to Prompt for Vision-Language Models

Conditional Prompt Learning for Vision-Language Models

CLIPScore: A Reference-free Evaluation Metric for Image Captioning

Open-vocabulary Object Detection via Vision and Language Knowledge Distillation

Robust fine-tuning of zero-shot models

CLIPort: What and Where Pathways for Robotic Manipulation

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


Scaffold genome sequence assemblies using linked or long read sequencing data

ABySS 2.0: resource-efficient assembly of large genomes using a Bloom filter

ARCS: scaffolding genome drafts with linked reads

Genome sequencing and comparative analysis of Ficus benghalensis and Ficus religiosa species reveal evolutionary mechanisms of longevity


Lora beYond Conventional methods, Other Rank adaptation Implementations for Stable diffusion.

Few-Shot Parameter-Efficient Fine-Tuning is Better and Cheaper than
  In-Context Learning

DyLoRA: Parameter-Efficient Tuning of Pre-trained Models using Dynamic Search-Free Low-Rank Adaptation

FedPara: Low-rank Hadamard Product Parameterization for Efficient Federated Learning

Navigating Text-To-Image Customization:From LyCORIS Fine-Tuning to Model
  Evaluation

Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization

Large Convolutional Model Tuning via Filter Subspace


Code for the in-dev PrediXcan Project

webTWAS: a resource for disease candidate susceptibility genes identified by transcriptome-wide association study

Exploiting the GTEx resources to decipher the mechanisms at GWAS loci

Novel Variance-Component TWAS method for studying complex human diseases with applications to Alzheimer’s dementia


Flexible classic and NeurAl Retrieval Toolkit

Off the Beaten Path: Let's Replace Term-Based Retrieval with k-NN Search

International Conference on Information and Knowledge Management

A Systematic Evaluation of Transfer Learning and Pseudo-labeling with BERT-based Ranking Models

SIGIR '21 - PROCEEDINGS OF THE 44TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

Flexible retrieval with NMSLIB and FlexNeuART

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

Exploring Classic and Neural Lexical Translation Models for Information Retrieval: Interpretability, Effectiveness, and Efficiency Benefits

Understanding Performance of Long-Document Ranking Models through
  Comprehensive Evaluation and Leaderboarding

Traditional IR rivals neural models on the MS MARCO Document Ranking
  Leaderboard


Python toolkit for characterizing Coal and Open-pit surface mining impacts on American Lands


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

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

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

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


A fast MoE impl for PyTorch

FastMoE: A Fast Mixture-of-Expert Training System

Transformer models: an introduction and catalog


A DHT Indexer node & Peer Router

Design and evaluation of IPFS

SIGCOMM '22: PROCEEDINGS OF THE 2022 ACM SIGCOMM 2022 CONFERENCE

Passively Measuring IPFS Churn and Network Size

The Cloud Strikes Back: Investigating the Decentralization of IPFS

Proceedings of the 2023 ACM on Internet Measurement Conference

What's inside a node? Malicious IPFS nodes under the magnifying glass


Coupled snowpack and ice surface energy and mass balance model in Python

COSIPY v1.2 – An open-source coupled snowpack and ice surface energy and mass balance model

Surface energy fluxes on Chilean glaciers: measurements and models

The distribution and evolution of supraglacial lakes on 79° N Glacier (north-eastern Greenland) and interannual climatic controls

Atmosphere Driven Mass-Balance Sensitivity of Halji Glacier, Himalayas

Modeling of Mass Balance Variability and Its Impact on Water Discharge from the Urumqi Glacier No. 1 Catchment, Tian Shan, China


Binary analysis in HOL

Validation of Abstract Side-Channel Models for Computer Architectures

TrABin: Trustworthy Analyses of Binaries

Hoare-Style Logic for Unstructured Programs

SOFTWARE ENGINEERING AND FORMAL METHODS, SEFM 2020

Sound Transpilation from Binary to Machine-Independent Code

Thwarting Code-Reuse and Side-Channel Attacks in Embedded Systems


National Carbon Credit Registry Digital Public Good (DPG) by Digital For Climate (D4C) collaboration. Code coordinated by ExO/CDO & BPPS/Climate.


Pool-based active learning in Python

modAL: A modular active learning framework for Python

libact: Pool-based Active Learning in Python

Goldilocks: Just-Right Tuning of BERT for Technology-Assisted Review

A Lagrangian Duality Approach to Active Learning

Heuristic Stopping Rules For Technology-Assisted Review

Proceedings of the 21st ACM Symposium on Document Engineering

Active Feature Selection for the Mutual Information Criterion

TAR on Social Media: A Framework for Online Content Moderation

TARexp: A Python Framework for Technology-Assisted Review Experiments

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

ALdataset: a benchmark for pool-based active learning

Re-Benchmarking Pool-Based Active Learning for Binary Classification


Running large language models on a single GPU for throughput-oriented scenarios.

FlexGen: High-Throughput Generative Inference of Large Language Models
  with a Single GPU

Can Foundation Models Wrangle Your Data?

Towards Efficient Generative Large Language Model Serving: A Survey from
  Algorithms to Systems

Understanding LLMs: A Comprehensive Overview from Training to Inference


✨Fast Coreference Resolution in spaCy with Neural Networks

Visual Coreference Resolution in Visual Dialog using Neural Module Networks

Using Local Knowledge Graph Construction to Scale Seq2Seq Models to Multi-Document Inputs

Language Models are Open Knowledge Graphs

Advancing the State of the Art in Open Domain Dialog Systems through the Alexa Prize.

Document-level Neural MT: A Systematic Comparison

HAL (Le Centre pour la Communication Scientifique Directe)

EXTRACTOR: Extracting Attack Behavior from Threat Reports

Repurposing Entailment for Multi-Hop Question Answering Tasks

BiasFinder: Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems

Interpreting Language Models with Contrastive Explanations

Semantic Representation for Dialogue Modeling


Line based ATR Engine based on OCRopy

Optical character recognition with neural networks and post-correction with finite state methods

International journal on document analysis and recognition

Comparison of OCR Accuracy on Early Printed Books using the Open Source Engines Calamari and OCRopus

LDV-Forum/Journal for language technology and computational linguistics

Exchanging image processing and OCR components in a Setswana digitisation pipeline

How Much Data Do You Need? About the Creation of a Ground Truth for Black Letter and the Effectiveness of Neural OCR

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

FAWA: Fast Adversarial Watermark Attack on Optical Character Recognition (OCR) Systems

Mixed Model OCR Training on Historical Latin Script for Out-of-the-Box Recognition and Finetuning

Open Source Handwritten Text Recognition on Medieval Manuscripts using
  Mixed Models and Document-Specific Finetuning

On the Accuracy of CRNNs for Line-Based OCR: A Multi-Parameter Evaluation

Proceedings of the 5th International Workshop on Reading Music Systems


Species Presence/Absence R Trends Analyses

Widespread losses of pollinating insects in Britain

An operational workflow for producing periodic estimates of species occupancy at national scales

Biological reviews/Biological reviews of the Cambridge Philosophical Society

Fast Bayesian inference for large occupancy datasets


Torchreid: Deep learning person re-identification in PyTorch.

Omni-Scale Feature Learning for Person Re-Identification

Domain Generalization with MixStyle

Style Normalization and Restitution for Generalizable Person Re-identification

Deep Transfer Learning for Person Re-identification

Learning Generalisable Omni-Scale Representations for Person Re-Identification

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

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

Joint Person Objectness and Repulsion for Person Search

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

MixStyle Neural Networks for Domain Generalization and Adaptation

The P-DESTRE: A Fully Annotated Dataset for Pedestrian Detection,
  Tracking, Re-Identification and Search from Aerial Devices


SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, sensitive data patterns, fuzzing payloads, web shells, and many more.

ChatGPT for Digital Forensic Investigation: The Good, The Bad, and The Unknown

Binary Decision Diagrams with Edge-Specified Reductions

Tools and Algorithms for Construction and Analysis of Systems

On Attacking Kerberos Authentication Protocol in Windows Active Directory Services: A Practical Survey

Twenty-two years since revealing cross-site scripting attacks: a
  systematic mapping and a comprehensive survey

GNPassGAN: Improved Generative Adversarial Networks For Trawling Offline Password Guessing

7TH IEEE EUROPEAN SYMPOSIUM ON SECURITY AND PRIVACY WORKSHOPS (EUROS&PW 2022)

In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security Problems

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security

Assessment of Dynamic Open-source Cross-site Scripting Filters for Web Application

Transactions on internet and information systems

My(o) Armband Leaks Passwords

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

Unintended Memorization and Timing Attacks in Named Entity Recognition Models

How Much Does GenoGuard Really "Guard"? An Empirical Analysis of Long-Term Security for Genomic Data


Fast Linearized Coronagraph Optimizer (FALCO) in MATLAB

Fast linearized coronagraph optimizer (FALCO) I: a software toolbox for rapid coronagraphic design and wavefront correction

Space Telescopes and Instrumentation 2018: Optical, Infrared, and Millimeter Wave

Review of high-contrast imaging systems for current and future ground- and space-based telescopes I. Coronagraph design methods and optical performance metrics

High-contrast Demonstration of an Apodized Vortex Coronagraph

High contrast demonstrations of novel scalar vortex coronagraph designs at the high contrast spectroscopy testbed

Techniques and Instrumentation for Detection of Exoplanets X

Laboratory demonstration of the wrapped staircase scalar vortex coronagraph

Journal of astronomical telescopes, instruments, and systems

Flight designs and pupil error mitigation for the bowtie shaped pupil coronagraph on the Nancy Grace Roman Space Telescope

Topological designs for scalar vortex coronagraphs

Space Telescopes and Instrumentation 2022: Optical, Infrared, and Millimeter Wave

Achromatizing scalar vortex coronagraphs with radial phase mask dimples

End-to-end numerical modeling of the Roman Space Telescope coronagraph


oneAPI Collective Communications Library (oneCCL)

Optimizing Deep Learning Recommender Systems Training on CPU Cluster Architectures

Enabling Compute-Communication Overlap in Distributed Deep Learning Training Platforms

International Symposium on Computer Architecture

Tensor Processing Primitives: A Programming Abstraction for Efficiency and Portability in Deep Learning Workloads

Efficient Direct-Connect Topologies for Collective Communications

Gleam: An RDMA-accelerated Multicast Protocol for Datacenter Networks


OpenBuildingControl - Performance Evaluation, Specification, Deployment and Verification of Building Control Sequences


Deep Reinforcement Learning with Double Q-learning

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

A Self-Tuning Actor-Critic Algorithm

What Can Learned Intrinsic Rewards Capture?

The Difficulty of Passive Learning in Deep Reinforcement Learning

FedJAX: Federated learning simulation with JAX

Discovering Policies with DOMiNO: Diversity Optimization Maintaining
  Near Optimality

Emphatic Algorithms for Deep Reinforcement Learning

When should agents explore?

Return-based Scaling: Yet Another Normalisation Trick for Deep RL


A Python Perceptual Image Hashing Module

On the Origins of Memes by Means of Fringe Web Communities

Understanding Security Issues in the NFT Ecosystem

Image-Based Wheat Fungi Diseases Identification by Deep Learning

Characterizing the Use of Images in State-Sponsored Information Warfare Operations by Russian Trolls on Twitter

Auditing Membership Leakages of Multi-Exit Networks

Draw Your Art Dream: Diverse Digital Art Synthesis with Multimodal Guided Diffusion

Understanding the Use of Fauxtography on Social Media

CIME: Context-aware geolocation of emergency-related posts

Известия Самарского научного центра Российской академии наук

Characterizing the use of images by state-sponsored troll accounts on Twitter

DANLI: Deliberative Agent for Following Natural Language Instructions


Benchmarking synthetic data generation methods.

CTAB-GAN: Effective Table Data Synthesizing

Benchmarking Differentially Private Synthetic Data Generation Algorithms

STaSy: Score-based Tabular data Synthesis

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

Composable Generative Models

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

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


The Fast Downward domain-independent classical planning system

LLM+P: Empowering Large Language Models with Optimal Planning
  Proficiency

MACQ: A Holistic View of Model Acquisition Techniques

Grounding Classical Task Planners via Vision-Language Models

Understanding the planning of LLM agents: A survey

Planning as Theorem Proving with Heuristics


Language Understanding Evaluation benchmark for Chinese: datasets, baselines, pre-trained models,corpus and leaderboard

FlauBERT: Unsupervised Language Model Pre-training for French

IndoLEM and IndoBERT: A Benchmark Dataset and Pre-trained Language Model for Indonesian NLP

Visual Prompt Tuning for Few-Shot Text Classification

International Conference on Computational Linguistics


Accurate Neural Network Potential on PyTorch

Extending the Applicability of the ANI Deep Learning Molecular Potential to Sulfur and Halogens

Journal of chemical theory and computation

The ANI-1ccx and ANI-1x Data Sets, Coupled-Cluster and Density Functional Theory Properties for Molecules

Choosing the right molecular machine learning potential

Automated discovery of a robust interatomic potential for aluminum

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

MLatom 2: An Integrative Platform for Atomistic Machine Learning

Differentiable sampling of molecular geometries with uncertainty-based adversarial attacks


A Static Analysis Tool for Detecting Security Vulnerabilities in Python Web Applications

Adversarial Machine Learning -- Industry Perspectives

Towards Measuring Supply Chain Attacks on Package Managers for Interpreted Languages

Measuring and Preventing Supply Chain Attacks on Package Managers.


Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org

Translating Embeddings for Modeling Multi-relational Data

Complex Embeddings for Simple Link Prediction

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

A Survey on Knowledge Graphs: Representation, Acquisition, and Applications

IEEE transactions on neural networks and learning systems

Holographic Embeddings of Knowledge Graphs

Knowledge Graph Embedding for Link Prediction: A Comparative Analysis

Knowledge Graph Completion via Complex Tensor Factorization

Knowledge Graph Embeddings and Explainable AI

LibKGE - A knowledge graph embedding library for reproducible research

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING: SYSTEM DEMONSTRATIONS

Probability Calibration for Knowledge Graph Embedding Models


R interface to the ANTs biomedical image processing library

Recommendations for Processing Head CT Data

ENIGMA brain injury: Framework, challenges, and opportunities

Similarity-driven multi-view embeddings from high-dimensional biomedical data

Multivariate MR Biomarkers Better Predict Cognitive Dysfunction in Mouse Models of Alzheimers Disease

Testing the accuracy of 3D automatic landmarking via genome-wide association studies

Distal neuropathic pain in HIV is associated with functional connectivity patterns in default mode and salience networks

Frontiers in pain research (Lausanne, Switzerland)


:rocket: Julia package for orthogonal polynomial transforms :snowboarder:

A nonuniform fast Fourier transform based on low rank approximation

Fast algorithms using orthogonal polynomials

Fast and backward stable transforms between spherical harmonic expansions and bivariate Fourier series

On the use of Hahn's asymptotic formula and stabilized recurrence for a fast, simple, and stable Chebyshev--Jacobi transform

Conquering the pre-computation in two-dimensional harmonic polynomial transforms

A fast and accurate algorithm for spherical harmonic analysis on HEALPix grids with applications to the cosmic microwave background radiation

Building hierarchies of semiclassical Jacobi polynomials for spectral
  methods in annuli


Underthesea - Vietnamese NLP Toolkit

The BigScience ROOTS Corpus: A 1.6TB Composite Multilingual Dataset

A Feature-Rich Vietnamese Named-Entity Recognition Model

An Efficient Model for Sentiment Analysis of Electronic Product Reviews in Vietnamese

Conversational Machine Reading Comprehension for Vietnamese Healthcare Texts

International Conference on Computational Collective Intelligence

KC4Align: Improving Sentence Alignment method for Low-resource Language Pairs

Pacific Asia Conference on Language, Information and Computation

Non-Standard Vietnamese Word Detection and Normalization for Text–to–Speech


Cutadapt removes adapter sequences from sequencing reads

Local mutational diversity drives intratumoral immune heterogeneity in non-small cell lung cancer

RNA stores tau reversibly in complex coacervates

The Implication of Early Chromatin Changes in X Chromosome Inactivation

Supermeres are functional extracellular nanoparticles replete with disease biomarkers and therapeutic targets

The CASC15 Long Intergenic Noncoding RNA Locus Is Involved in Melanoma Progression and Phenotype Switching

The journal of investigative dermatology/Journal of investigative dermatology

miRge - A Multiplexed Method of Processing Small RNA-Seq Data to Determine MicroRNA Entropy

Reprogramming the antigen specificity of B cells using genome-editing technologies

The journal of immunology/The Journal of immunology

A Combined Comparative Transcriptomic, Metabolomic, and Anatomical Analyses of Two Key Domestication Traits: Pod Dehiscence and Seed Dormancy in Pea (Pisum sp.)

Phenotype loss is associated with widespread divergence of the gene regulatory landscape in evolution

Evidence for Active Uptake and Deposition of Si-based Defenses in Tall Fescue


Genome assembly evaluation tool

Evolutionary superscaffolding and chromosome anchoring to improve Anopheles genome assemblies

Inferring microbiota functions from taxonomic genes: a review

HASLR: Fast Hybrid Assembly of Long Reads

Tutorial: assessing metagenomics software with the CAMI benchmarking toolkit

Comparison of De Novo Assembly Strategies for Bacterial Genomes

International journal of molecular sciences

Emergence of Meropenem Resistance Among Cefotaxime Non-susceptible Streptococcus pneumoniae: Evidence and Challenges

Toward an Integrated Genome-Based Surveillance of Salmonella enterica in Germany

Evaluating assembly and variant calling software for strain-resolved analysis of large DNA viruses

Strainline: full-length de novo viral haplotype reconstruction from noisy long reads

German-Wide Interlaboratory Study Compares Consistency, Accuracy and Reproducibility of Whole-Genome Short Read Sequencing


NEW location of IQ-TREE software for efficient phylogenomic software by maximum likelihood http://www.iqtree.org

Dynamic genome evolution in a model fern

Updated site concordance factors minimize effects of homoplasy and taxon sampling

RAxML Grove: an empirical phylogenetic tree database

Mobilome-driven partitions of the resistome in Salmonella

The First Whole Genome Sequencing of Agaricus bitorquis and Its Metabolite Profiling

Gut Microbiota Taxon-Dependent Transformation of Microglial M1/M2 Phenotypes Underlying Mechanisms of Spatial Learning and Memory Impairment after Chronic Methamphetamine Exposure

Subgenome dominance shapes novel gene evolution in the decaploid pitcher plantNepenthes gracilis

Comparative Genomic Analysis and Metabolic Potential Profiling of a Novel Culinary-Medicinal Mushroom, Hericium rajendrae (Basidiomycota)

The Free Lunch is not over yet-systematic exploration of numerical thresholds in maximum likelihood phylogenetic inference


Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

Generating Sequences With Recurrent Neural Networks

AdaComp : Adaptive Residual Gradient Compression for Data-Parallel Distributed Training

Music transcription modelling and composition using deep learning

Recurrent Neural Networks Hardware Implementation on FPGA

SYSTRAN's Pure Neural Machine Translation Systems

Deep Learning At Scale and At Ease

Teaching Arithmetic to Small Transformers

Learning to Capitalize with Character-Level Recurrent Neural Networks: An Empirical Study

Empirical Methods in Natural Language Processing

Confidence through Attention

Langevin Dynamics with Continuous Tempering for Training Deep Neural Networks


Animal Part Tracker

Cortical pattern generation during dexterous movement is input-driven

State-dependent decoupling of sensory and motor circuits underlies behavioral flexibility in Drosophila

Disrupting cortico-cerebellar communication impairs dexterity

A persistent behavioral state enables sustained predation of humans by mosquitoes

Dynamics of the Cortico-Cerebellar Loop Fine-Tune Dexterous Movement


High-Resolution Image Synthesis with Latent Diffusion Models

Adding Conditional Control to Text-to-Image Diffusion Models

Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation
  Models

TaskMatrix.AI: Completing Tasks by Connecting Foundation Models with Millions of APIs

Low-code LLM: Visual Programming over LLMs

The Potential of Visual ChatGPT For Remote Sensing


Allows safer access to model specific registers (MSRs)

COUNTDOWN: A Run-Time Library for Performance-Neutral Energy Saving in MPI Applications

Countdown Slack: A Run-Time Library to Reduce Energy Footprint in Large-Scale MPI Applications

Cuttlefish: Library for Achieving Energy Efficiency in Multicore Parallel Programs


The Dispa-SET unit-commitment and optimal dispatch model, developed at the JRC

Evaluating the Potential Contribution of District Heating to the Flexibility of the Future Italian Power System


A Japanese Tokenizer for Business

Sudachi: a Japanese Tokenizer for Business

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

Machine Learning Approach for Depression Detection in Japanese


A collection of tools for painting super-resolution images

Single-molecule localization microscopy

Simultaneous orientation and 3D localization microscopy with a Vortex point spread function

Rapid and efficient C-terminal labeling of nanobodies for DNA-PAINT

Complex multicomponent patterns rendered on a 3D DNA-barrel pegboard

Toward Absolute Molecular Numbers in DNA-PAINT

Super-resolved visualization of single DNA-based tension sensors in cell adhesion

Quantification of Strand Accessibility in Biostable DNA Origami with Single-Staple Resolution

nanoTRON: a Picasso module for MLP-based classification of super-resolution data

Principles of RNA recruitment to viral ribonucleoprotein condensates in a segmented dsRNA virus

Super-resolution imaging and quantitative analysis of microtubule arrays in model neurons show that epothilone D increases the density but decreases the length and straightness of microtubules in axon-like processes


Pastas is an open-source Python framework for the analysis of groundwater time series.

Solving Groundwater Flow Problems with Time Series Analysis: You May Not Even Need Another Model

Pastas: Open Source Software for the Analysis of Groundwater Time Series


Library for metric learning pipelines and models.

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

Learning Transferable Visual Models From Natural Language Supervision

Emerging Properties in Self-Supervised Vision Transformers

In Defense of the Triplet Loss for Person Re-Identification

Improved Baselines with Momentum Contrastive Learning

DINOv2: Learning Robust Visual Features without Supervision

Cross-Batch Memory for Embedding Learning

Hyperbolic Vision Transformers: Combining Improvements in Metric Learning

Unicom: Universal and Compact Representation Learning for Image
  Retrieval

RuCLIP -- new models and experiments: a technical report


Interface for using finite elements in inverse problems with complex domains

Zeffiro User Interface for Electromagnetic Brain Imaging: a GPU Accelerated FEM Tool for Forward and Inverse Computations in Matlab

Parametrizing the Conditionally Gaussian Prior Model for Source Localization with Reference to the P20/N20 Component of Median Nerve SEP/SEF

L1-norm vs. L2-norm fitting in optimizing focal multi-channel tES stimulation: linear and semidefinite programming vs. weighted least squares

Pressure-Poisson Equation in Numerical Simulation of Cerebral Arterial
  Circulation and Its Effect on the Electrical Conductivity of the Brain


Climate Simulation Operations


Massively Parallel and Dynamic Algorithms for Minimum Size Clustering

Private Hierarchical Clustering in Federated Networks

Building K-Anonymous User Cohorts with Consecutive Consistent Weighted Sampling (CCWS)

On the Robustness of Topics API to a Re-Identification Attack

Locality-Sensitive Hashing Does Not Guarantee Privacy! Attacks on Google's FLoC and the MinHash Hierarchy System

Evaluating Impact of User-Cluster Targeted Attacks in Matrix
  Factorisation Recommenders


The Composer of ggplots

The Language of Social Touch Is Intuitive and Quantifiable

Evaluation of DNA Extraction Methods on Individual Helminth Egg and Larval Stages for Whole-Genome Sequencing

Size-resolved dynamics of indoor and outdoor fluorescent biological aerosol particles in a bedroom: A one-month case study in Singapore.

tidypaleo: Visualizing Paleoenvironmental Archives Using ggplot2

First Evidence That Nematode Communities in Deadwood Are Related to Tree Species Identity and to Co-Occurring Fungi and Prokaryotes

Do Data from Large Personal Networks Support Cultural Evolutionary Ideas about Kin and Fertility?

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

Assessing individual-level change in dementia research: a review of methodologies

Spatial profiling reveals association between WNT pathway activation and T-cell exclusion in acquired resistance of synovial sarcoma to NY-ESO-1 transgenic T-cell therapy

The survival of epidemic and sporadic MRSA on human skin mimics is determined by both host and bacterial factors


brozzler - distributed browser-based web crawler

The Memento Tracer Framework: Balancing Quality and Scalability for Web Archiving

Discovering Scholarly Orphans Using ORCID

Supporting Web Archiving via Web Packaging

Exploring the Intersections of Web Science and Accessibility


:earth_americas: An R package for spatial and spatiotemporal GLMMs with TMB

sdmTMB: An R Package for Fast, Flexible, and User-Friendly Generalized Linear Mixed Effects Models with Spatial and Spatiotemporal Random Fields

The shadow model: how and why small choices in spatially explicit species distribution models affect predictions


This repository contains data on Coronavirus Disease 2019 (COVID-19) in New York City (NYC), from the NYC Department of Health and Mental Hygiene.

Characteristics Associated With Out-of-Hospital Cardiac Arrests and Resuscitations During the Novel Coronavirus Disease 2019 Pandemic in New York City

Spatial Inequities in COVID-19 Testing, Positivity, Confirmed Cases, and Mortality in 3 U.S. Cities

Oscillations in U.S. COVID-19 Incidence and Mortality Data Reflect Diagnostic and Reporting Factors

Racial and Ethnic Disparities in COVID-19: Evidence from Six Large Cities

Dynamics of COVID-19 under social distancing measures are driven by transmission network structure

medRxiv : the preprint server for health sciences

Persistent heterogeneity not short-term overdispersion determines herd immunity to COVID-19

Estimating SARS-CoV-2 infections from deaths, confirmed cases, tests, and random surveys

Forecasting the Spread of COVID-19 under Different Reopening Strategies

Visualizing the invisible: The effect of asymptomatic transmission on the outbreak dynamics of COVID-19

Differential COVID-19 case positivity in New York City neighborhoods: socioeconomic factors and mobility


An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Program Synthesis with Large Language Models

Pythia: A Suite for Analyzing Large Language Models Across Training and
  Scaling

Emergent and Predictable Memorization in Large Language Models

NaturalProver: Grounded Mathematical Proof Generation with Language
  Models

Decoding Visual Neural Representations by Multimodal Learning of Brain-Visual-Linguistic Features

Transformer models: an introduction and catalog

ToD4IR: A Humanised Task-Oriented Dialogue System for Industrial Robots

Natural Language Generation and Understanding of Big Code for AI-Assisted Programming: A Review

Knowledge Infused Decoding


Software for generating SNAP machine-learning interatomic potentials

Explicit Multielement Extension of the Spectral Neighbor Analysis Potential for Chemically Complex Systems

The journal of physical chemistry. A/The journal of physical chemistry. A.

Dissociating the phononic, magnetic and electronic contributions to thermal conductivity: a computational study in alpha-iron

Machine Learned Interatomic Potential for Dispersion Strengthened Plasma
  Facing Components

UV-Visible Absorption Spectra of Solvated Molecules by Quantum Chemical Machine Learning.

Atomic cluster expansion and wave function representations


The SkyLLH framework is an open-source Python3-based package licensed under the GPLv3 license. It provides a modular framework for implementing custom likelihood functions and executing log-likelihood ratio hypothesis tests. The idea is to provide a class structure tied to the mathematical objects of the likelihood functions.

Correlating High-energy IceCube Neutrinos with 5BZCAT Blazars and RFC Sources

SkyLLH - A generalized Python-based tool for log-likelihood analyses in multi-messenger astronomy

The Spectra of IceCube Neutrino (SIN) candidate sources -- IV. Spectral
  energy distributions and multi-wavelength variability

Fitting neutrino flares: Applying expectation maximization on neutrino
  data


MAterials Simulation Toolkit for Machine Learning (MAST-ML)

A data ecosystem to support machine learning in materials science

The Materials Simulation Toolkit for Machine learning (MAST-ML): An automated open source toolkit to accelerate data-driven materials research

Molecular simulation-derived features for machine learning predictions of metal glass forming ability

Calibrated bootstrap for uncertainty quantification in regression models


Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.

πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian
  Optimization

PriorBand: Practical Hyperparameter Optimization in the Age of Deep
  Learning

Construction of Hierarchical Neural Architecture Search Spaces based on
  Context-free Grammars

Python Wrapper for Simulating Multi-Fidelity Optimization on HPO
  Benchmarks without Any Wait


Julia interface for Reading from the Earth System Datacube


Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

Deep Learning Framework for Vehicle and Pedestrian Detection in Rural Roads on an Embedded GPU

Detecting Diabetic Retinopathy Using Embedded Computer Vision

Artificial Intelligence for Colonoscopy: Past, Present, and Future

IEEE journal of biomedical and health informatics

Real-Time Robot Localization, Vision, and Speech Recognition on Nvidia Jetson TX1.

Service Orchestration for Object Detection on Edge and Cloud in Dependable Industrial Vehicles

Decentralised Intelligence, Surveillance, and Reconnaissance in Unknown Environments with Heterogeneous Multi-Robot Systems.

An early warning AI-powered portable system to reduce workload and inspect environmental damage after natural disasters.

AirLoop: A Simulation Framework for Testing of UAV Services

Development of an image segmentation model based on a convolutional neural network

Zenodo (CERN European Organization for Nuclear Research)


Numerical differential equation solvers in JAX. Autodifferentiable and GPU-capable. https://docs.kidger.site/diffrax/

On Neural Differential Equations

SiT: Exploring Flow and Diffusion-based Generative Models with Scalable
  Interpolant Transformers

torchode: A Parallel ODE Solver for PyTorch


Kubernetes community content

Foggy: A Platform for Workload Orchestration in a Fog Computing Environment

IEEE International Conference on Cloud Computing Technology and Science

A Comprehensive Feature Comparison Study of Open-Source Container Orchestration Frameworks

The Schulze Method of Voting

Computing Without Borders: The Way Towards Liquid Computing

Architecture Integration of 5G Networks and Time-Sensitive Networking with Edge Computing for Smart Manufacturing

Trater Press: revista del tratamiento térmico

Kubernetes Autoscaling: YoYo Attack Vulnerability and Mitigation

International Conference on Cloud Computing and Services Science

Managing Feature Compatibility in Kubernetes: Vendor Comparison and Analysis

An empirical study of vulnerabilities in edge frameworks to support security testing improvement

Collective Autoscaling for Cloud Microservices

TrueChain: Highly Performant Decentralized Public Ledger


Global scenarios of the Ocean Health Index


These repositories are contributed to by NOAA staff from line offices and/or staff office throughout the organization


Algorithms inspired by graph Laplacians: linear equation solvers, sparsification, clustering, optimization, etc.

Kirchhoff Index as a Measure of Edge Centrality in Weighted Networks: Nearly Linear Time Algorithms

Current Flow Group Closeness Centrality for Complex Networks

WEB CONFERENCE 2019: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2019)

Improving information centrality of a node in complex networks by adding
  edges

Maximizing Influence of Leaders in Social Networks

Approximation of the Diagonal of a Laplacian's Pseudoinverse for Complex Network Analysis

RCHOL: Randomized Cholesky Factorization for Solving SDD Linear Systems

On the Ability of Graph Neural Networks to Model Interactions Between
  Vertices

A Distributed Laplacian Solver and its Applications to Electrical Flow and Random Spanning Tree Computation.

Robust and Practical Solution of Laplacian Equations by Approximate
  Elimination


Easy Reduced Basis method

EZyRB: Easy Reduced Basis method

A multifidelity approach coupling parameter space reduction and nonintrusive POD with application to structural optimization of passenger ship hulls

Free Form Deformation, mesh morphing and reduced order methods: enablers for efficient aerodynamic shape optimization


Breakthrough Listen I/O Methods for Python

The Breakthrough Listen Search for Intelligent Life: Observations of 1327 Nearby Stars Over 1.10–3.45 GHz

The Breakthrough Listen Search for Intelligent Life: Public Data, Formats, Reduction, and Archiving

Publications of the Astronomical Society of the Pacific

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

A deep-learning search for technosignatures from 820 nearby stars

The Breakthrough Listen Search for Extraterrestrial Intelligence

Pulsar Based Alternative Timing Source for Grid Synchronization and Operation

Setigen: Simulating Radio Technosignatures for the Search for Extraterrestrial Intelligence


TensorFlow Neural Machine Translation Tutorial

To prune, or not to prune: exploring the efficacy of pruning for model compression

QANet: Combining Local Convolution with Global Self-Attention for Reading Comprehension

Deep Learning Scaling is Predictable, Empirically

The Best of Both Worlds: Combining Recent Advances in Neural Machine Translation

Sequence-to-Sequence Prediction of Vehicle Trajectory via LSTM Encoder-Decoder Architecture

Differentiable Product Quantization for End-to-End Embedding Compression

Semi-Supervised Sequence Modeling with Cross-View Training

"Found in Translation": Predicting Outcomes of Complex Organic Chemistry
  Reactions using Neural Sequence-to-Sequence Models

Comparing Rewinding and Fine-tuning in Neural Network Pruning

emrQA: A Large Corpus for Question Answering on Electronic Medical Records


Bayesian learning and inference for state space models

Recurrent Switching Dynamical Systems Models for Multiple Interacting Neural Populations

Neural Latents Benchmark '21: Evaluating latent variable models of
  neural population activity

Unifying and generalizing models of neural dynamics during decision-making

Time-varying Autoregression with Low Rank Tensors

Limitations of a proposed correction for slow drifts in decision criterion

Mesoscopic modeling of hidden spiking neurons

Sensory neurons couple arousal and foraging decisions in C. elegans

A layered, hybrid machine learning analytic workflow for mouse risk assessment behavior

Propofol Mediated Unconsciousness Disrupts Progression of Sensory Signals through the Cortical Hierarchy

bioRxiv : the preprint server for biology

Pan-cortical 2-photon mesoscopic imaging and neurobehavioral alignment in awake, behaving mice


Human-Aware Collaborative Robots in the Wild: Coping with Uncertainty in Activity Recognition

From Warfighting Needs to Robot Actuation: A Complete Rapid Integration Swarming Solution

Path Planning for Multiple Tethered Robots Using Topological Braids


PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

TabNet: Attentive Interpretable Tabular Learning

TransTab: Learning Transferable Tabular Transformers Across Tables

Predicting and explaining employee turnover intention

International journal of data science and analytics

SDTR: Soft Decision Tree Regressor for Tabular Data

Can Clinical Symptoms and Laboratory Results Predict CT Abnormality? Initial Findings Using Novel Machine Learning Techniques in Children With COVID-19 Infections

Weight Predictor Network with Feature Selection for Small Sample Tabular Biomedical Data

Impact of data-splits on generalization: Identifying COVID-19 from cough and context

Towards Cross-Table Masked Pretraining for Web Data Mining

Long-Term Rainfall Forecast Model Based on The TabNet and LightGbm Algorithm

NCART: Neural Classification and Regression Tree for Tabular Data


The Modular Ocean Model

A Comparative Study of Vertical Mixing Schemes in Modeling the Bay of Bengal Dynamics


R package for performing 2-sample MR using MR-Base database

The MR-Base platform supports systematic causal inference across the human phenome

Recent Developments in Mendelian Randomization Studies

GWAS of peptic ulcer disease implicates Helicobacter pylori infection, other gastrointestinal disorders and depression

Gut Microbiota and Psychiatric Disorders: A Two-Sample Mendelian Randomization Study

Exploiting horizontal pleiotropy to search for causal pathways within a Mendelian randomization framework

Exploring a causal role of DNA methylation in the relationship between maternal vitamin B12 during pregnancy and child’s IQ at age 8, cognitive performance and educational attainment: a two-step Mendelian randomization study

Human molecular genetics online/Human molecular genetics

Shortened Leukocyte Telomere Length Is Associated With Glycemic Progression in Type 2 Diabetes: A Prospective and Mendelian Randomization Analysis

Large-scale machine-learning-based phenotyping significantly improves genomic discovery for optic nerve head morphology

Assessment of Causal Direction Between Gut Microbiota and Inflammatory Bowel Disease: A Mendelian Randomization Analysis

Mendelian Randomization Analysis Reveals a Causal Influence of Circulating Sclerostin Levels on Bone Mineral Density and Fractures


Official implementation of the paper "Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection"

Segment Any Anomaly without Training via Hybrid Prompt Regularization

Make-A-Protagonist: Generic Video Editing with An Ensemble of Experts

Towards Robust Multi-Modal Reasoning via Model Selection


Visualization and analysis software for Hi-C data -

Telomere-to-telomere assembly of a complete human X chromosome

The Juicebox Assembly Tools module facilitates de novo assembly of mammalian genomes with chromosome-length scaffolds for under $1000

Loop extrusion as a mechanism for formation of DNA damage repair foci

Chromosome-level assembly of the horseshoe crab genome provides insights into its genome evolution

Genomes of leafy and leafless Platanthera orchids illuminate the evolution of mycoheterotrophy

The genome of Medicago polymorpha provides insights into its edibility and nutritional value as a vegetable and forage legume

Evolutionary divergence of duplicated genomes in newly described allotetraploid cottons

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

Chromatin compartmentalization regulates the response to DNA damage

Sequencing and Chromosome-Scale Assembly of Plant Genomes, Brassica rapa as a Use Case

PETTY TRADING IN MARKETPLACES: Space Generation, Use and Management at Temeke Stereo Marketplace in Dar es Salaam, Tanzania


Library for symbolic automata and symbolic visibly pushdown automata

The Learnability of Symbolic Automata

An Algebraic Framework for Runtime Verification

Mata, a Fast and Simple Finite Automata Library (Technical Report)

Reasoning about Regular Properties: A Comparative Study

Decision Procedures for Sequence Theories (Technical Report)


A framework for data augmentation for 2D and 3D image classification and segmentation

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

nnU-Net: Self-adapting Framework for U-Net-Based Medical Image Segmentation

No New-Net

The state of the art in kidney and kidney tumor segmentation in contrast-enhanced CT imaging: Results of the KiTS19 Challenge

TractSeg - Fast and accurate white matter tract segmentation

Automated brain extraction of multisequence MRI using artificial neural networks

nnU-Net for Brain Tumor Segmentation

nnU-Net: Breaking the Spell on Successful Medical Image Segmentation.

MIScnn: a framework for medical image segmentation with convolutional neural networks and deep learning

Combined tract segmentation and orientation mapping for bundle-specific tractography


Bias Auditing & Fair ML Toolkit

Retiring Adult: New Datasets for Fair Machine Learning

Aequitas: A Bias and Fairness Audit Toolkit

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

Dealing with Bias and Fairness in Data Science Systems: A Practical Hands-on Tutorial

Turning the Tables: Biased, Imbalanced, Dynamic Tabular Datasets for ML
  Evaluation

Towards a multi-stakeholder value-based assessment framework for algorithmic systems

Conference on Fairness, Accountability and Transparency

Building Trustworthy AI Solutions: A Case for Practical Solutions for Small Businesses

IEEE transactions on artificial intelligence

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

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

Data quality dimensions for fair AI


ModBus Measurement Daemon - simple reading of data from ModBus meters and grid inverters


Creates spectrum generators for supersymmetric and non-supersymmetric models

FlexibleSUSY 2.0: Extensions to investigate the phenomenology of SUSY and non-SUSY models

FlexibleDecay: An automated calculator of scalar decay widths


Time series Timeseries Deep Learning Machine Learning Pytorch  fastai | State-of-the-art Deep Learning library  for Time Series and Sequences in Pytorch / fastai

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

Time Series Classification from Scratch with Deep Neural Networks: A Strong Baseline

LSTM Fully Convolutional Networks for Time Series Classification

InceptionTime: Finding AlexNet for time series classification

Multivariate LSTM-FCNs for Time Series Classification

Neural networks : the official journal of the International Neural Network Society

A Transformer-based Framework for Multivariate Time Series Representation Learning

ROCKET: exceptionally fast and accurate time series classification using random convolutional kernels

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

MINIROCKET: A Very Fast (Almost) Deterministic Transform for Time Series Classification

TabTransformer: Tabular Data Modeling Using Contextual Embeddings


Algorithms for outlier, adversarial and drift detection

Monitoring and explainability of models in production

Merlion: A Machine Learning Library for Time Series

Adversarial Detection and Correction by Matching Prediction Distributions

Towards a low-code solution for monitoring machine learning model performance

Model Driven Engineering Languages and Systems

Model-agnostic and Scalable Counterfactual Explanations via
  Reinforcement Learning

Context-Aware Drift Detection

Learn to Adapt: Robust Drift Detection in Security Domain

Ergo, SMIRK is safe: a safety case for a machine learning component in a pedestrian automatic emergency brake system

Sequential Multivariate Change Detection with Calibrated and Memoryless
  False Detection Rates

SMIRK: A machine learning-based pedestrian automatic emergency braking system with a complete safety case


结巴中文分词

CSI: A Hybrid Deep Model for Fake News Detection

International Conference on Information and Knowledge Management

Massively Multilingual Sentence Embeddings for Zero-Shot Cross-Lingual Transfer and Beyond

Achieving Human Parity on Automatic Chinese to English News Translation

VaTeX: A Large-Scale, High-Quality Multilingual Dataset for Video-and-Language Research

The United Nations Parallel Corpus v1.0

SHINE: Signed Heterogeneous Information Network Embedding for Sentiment Link Prediction

Overview for the Second Shared Task on Language Identification in Code-Switched Data

Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia

Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions

The University of Edinburgh's Neural MT Systems for WMT17


HTTP load generator, ApacheBench (ab) replacement

Balanced Leader Distribution Algorithm in Kubernetes Clusters

Engineering and Experimentally Benchmarking a Serverless Edge Computing System

Local Scheduling in KubeEdge-Based Edge Computing Environment

Practical Privacy Preservation in a Mobile Cloud Environment

Migration of CMSWEB cluster at CERN to Kubernetes: a comprehensive study

Proceedings of 40th International Conference on High Energy physics — PoS(ICHEP2020)

Predictable Performance for QoS-Sensitive, Scalable, Multi-tenant Function-as-a-Service Deployments

Lecture notes in business information processing

In-Storage Domain-Specific Acceleration for Serverless Computing


Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.

A Survey of Deep Reinforcement Learning in Video Games

The Atari Grand Challenge Dataset

The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning


Code for Anisotropies in the Microwave Background

The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey:
  Baryon acoustic oscillations with Lyman-α forests

Accurate halo-model matter power spectra with dark energy, massive neutrinos and modified gravitational forces

Monthly Notices of the Royal Astronomical Society

KiDS-1000 Cosmology: Constraints beyond flat ΛCDM

Non-linear damping of superimposed primordial oscillations on the matter power spectrum in galaxy surveys

Journal of Cosmology and Astroparticle Physics

Improved constraints on cosmic birefringence from the WMAP and Planck cosmic microwave background polarization data

On the road to per cent accuracy - II. Calibration of the non-linear matter power spectrum for arbitrary cosmologies

Frequency-dependent constraints on cosmic birefringence from the LFI and HFI Planck Data Release 4

Constraining primordial non-Gaussianity using two galaxy surveys and CMB lensing

Joint constraints on cosmology and the impact of baryon feedback: Combining KiDS-1000 lensing with the thermal Sunyaev–Zeldovich effect from Planck and ACT

Weak-lensing observables in relativistic N-body simulations


采用MegEngine实现的各种主流深度学习模型

Deep Residual Learning for Image Recognition

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

Focal Loss for Dense Object Detection

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

FCOS: Fully Convolutional One-Stage Object Detection

ShuffleNet V2: Practical Guidelines for Efficient CNN Architecture Design

Simple Baselines for Human Pose Estimation and Tracking

Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection


AiiDA plugin of the high-performance density functional theory code JuKKR (www.judft.de) for high-throughput electronic structure calculations.

The AiiDA-KKR plugin and its application to high-throughput impurity embedding into a topological insulator

Interorbital Cooper pairing at finite energies in Rashba surface states

The JuDiT database of impurities embedded into a Topological Insulator


The official repository of the Eesen project

EESEN: End-to-End Speech Recognition using Deep RNN Models and
  WFST-based Decoding

First-Pass Large Vocabulary Continuous Speech Recognition using Bi-Directional Recurrent DNNs

Comparison of Decoding Strategies for CTC Acoustic Models

Comparing the Max and Noisy-Or Pooling Functions in Multiple Instance Learning for Weakly Supervised Sequence Learning Tasks

Towards Real-time Mispronunciation Detection in Kids' Speech

When CTC Training Meets Acoustic Landmarks


GluonTS - Probabilistic Time Series Modeling in Python

High-Dimensional Multivariate Forecasting with Low-Rank Gaussian Copula Processes

Multi-variate Probabilistic Time Series Forecasting via Conditioned Normalizing Flows

Predict, Refine, Synthesize: Self-Guiding Diffusion Models for
  Probabilistic Time Series Forecasting

Flow-based Spatio-Temporal Structured Prediction of Motion Dynamics

DynaConF: Dynamic Forecasting of Non-Stationary Time-Series

MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process

VQ-AR: Vector Quantized Autoregressive Probabilistic Time Series
  Forecasting


Stochastic Model Predictive Control for Central HVAC Plants

Exponential Decay of Sensitivity in Graph-Structured Nonlinear Programs

A Unifying Modeling Abstraction for Infinite-Dimensional Optimization

Graph-Based Modeling and Decomposition of Energy Infrastructures

A Hierarchical Optimization Architecture for Large-Scale Power Networks

IEEE transactions on control of network systems

Scalable nonlinear programming framework for parameter estimation in dynamic biological system models

On the Convergence of Overlapping Schwarz Decomposition for Nonlinear Optimal Control

Multiscale model predictive control of battery systems for frequency regulation markets using physics-based models

A Sigmoidal Approximation for Chance-Constrained Nonlinear Programs

Mitigating investment risk using modular technologies


A generic track-fitting toolkit

Implementation of GENFIT2 as an experiment independent track-fitting framework

Software framework for the Super Charm-Tau factory detector project

Requirements, Status, and Plans for Track Reconstruction at the sPHENIX Experiment

OFFLINE SOFTWARE AND COMPUTING FOR THE SPD EXPERIMENT


Caffe for Sparse and Low-rank Deep Neural Networks

Learning Structured Sparsity in Deep Neural Networks

Coordinating Filters for Faster Deep Neural Networks

A flexible, extensible software framework for model compression based on
  the LC algorithm


OpenSK is an open-source implementation for security keys written in Rust that supports both FIDO U2F and FIDO2 standards.

Security and Trust in Open Source Security Tokens

IACR transactions on cryptographic hardware and embedded systems

Hybrid Post-quantum Signatures in Hardware Security Keys

How Not to Handle Keys: Timing Attacks on FIDO Authenticator Privacy


Bergen Layered Ocean Model

Ocean biogeochemistry in the Norwegian Earth System Model version 2 (NorESM2)


Thermal Engineering Systems in Python (TESPy). This package provides a powerful simulation toolkit for thermal engineering plants such as power plants, district heating systems or heat pumps.


The first open-source AI-driven tool for automatically generating system-level test cases (also known as fuzzing) for web/enterprise applications. Currently targeting whitebox and blackbox testing of Web APIs, like REST, GraphQL and RPC (e.g., gRPC and Thrift).

EvoMaster: Evolutionary Multi-context Automated System Test Generation

International Conference on Software Testing, Verification, and Validation

RESTful API Automated Test Case Generation

International Conference on Software Quality, Reliability and Security

Automated test generation for REST APIs: no time to rest yet

Proceedings of the 31st ACM SIGSOFT International Symposium on Software Testing and Analysis

Resource and dependency based test case generation for RESTful Web services

Open Problems in Fuzzing RESTful APIs: A Comparison of Tools

Testing RESTful APIs: A Survey

White-Box Fuzzing RPC-Based APIs with EvoMaster: An Industrial Case Study

White-Box and Black-Box Fuzzing for GraphQL APIs

Automated Test Generation for Medical Rules Web Services: A Case Study at the Cancer Registry of Norway

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

Carving UI Tests to Generate API Tests and API Specification


fast python port of arc90's readability tool, updated to match latest readability.js!

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

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

Meeting of the Association for Computational Linguistics

Media Cloud: Massive Open Source Collection of Global News on the Open Web

Complex Claim Verification with Evidence Retrieved in the Wild

VB-PTC: Visual Block Multi-Record Text Extraction Based on Sensor Network Page Type Conversion


A dataset of datasets for learning to learn from few examples

Meta-Dataset: A Dataset of Datasets for Learning to Learn from Few Examples

CrossTransformers: spatially-aware few-shot transfer

Fast and Flexible Multi-Task Classification Using Conditional Neural
  Adaptive Processes

Meta-Learning with Adaptive Hyperparameters

Cross-domain Few-shot Learning with Task-specific Adapters

Universal Representation Learning from Multiple Domains for Few-shot Classification

Meta-Learning Requires Meta-Augmentation

Learning a Universal Template for Few-shot Dataset Generalization

A Comprehensive Overview and Survey of Recent Advances in Meta-Learning

A Multi-Mode Modulator for Multi-Domain Few-Shot Classification

International Conference on Computer Vision


A library provides integration between Domain Knowledge and Deep Learning.

DomiKnowS: A Library for Integration of Symbolic Domain Knowledge in Deep Learning

GLUECons: A Generic Benchmark for Learning Under Constraints

Consistent Joint Decision-Making with Heterogeneous Learning Models


Fast and flexible AutoML with learning guarantees.

AutoML to Date and Beyond: Challenges and Opportunities

Gradient Boosting Neural Networks: GrowNet

Techniques for Automated Machine Learning

AdaNet: A Scalable and Flexible Framework for Automatically Learning Ensembles

Improving Neural Architecture Search Image Classifiers via Ensemble
  Learning

Sub-Architecture Ensemble Pruning in Neural Architecture Search

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

Using Open-Source Software for Business, Urban, and Other Applications of Deep Neural Networks, Machine Learning, and Data Analytics Tools

International journal of artificial intelligence and machine learning


⚡ Energy consumption metrology agent. Let "scaph" dive and bring back the metrics that will help you make your systems and applications more sustainable !

EnergAt: Fine-Grained Energy Attribution for Multi-Tenancy

Proceedings of the 2nd Workshop on Sustainable Computer Systems


draw.io is a JavaScript, client-side editor for general diagramming.

Differences between human and machine perception in medical diagnosis

A Perspective on Digital Knowledge Representation in Materials Science and Engineering

SPLICE-q: a Python tool for genome-wide quantification of splicing efficiency

Copy number variation of horse Y chromosome genes in normal equine populations and in horses with abnormal sex development and subfertility: relationship of copy number variations with Y haplogroups

Sainfoin (Onobrychis spp.) crop ontology: supporting germplasm characterization and international research collaborations


A tool for extracting plain text from Wikipedia dumps

Cross-lingual Language Model Pretraining

FlauBERT: Unsupervised Language Model Pre-training for French

ARBERT & MARBERT: Deep Bidirectional Transformers for Arabic

XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation

Wikipedia2Vec: An Efficient Toolkit for Learning and Visualizing the Embeddings of Words and Entities from Wikipedia

German's Next Language Model

LinkBERT: Pretraining Language Models with Document Links

Assessing Social and Intersectional Biases in Contextualized Word Representations

CoLAKE: Contextualized Language and Knowledge Embedding

Open-Retrieval Conversational Question Answering

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


Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)

Automated Machine Learning: Methods, Systems, Challenges

The Springer series on challenges in machine learning

Machine Learning for the Detection and Identification of Internet of Things Devices: A Survey

Local Search is a Remarkably Strong Baseline for Neural Architecture Search

2D and 3D Palmprint and Palm Vein Recognition Based on Neural Architecture Search


SFINCS: the Stellarator Fokker-Planck Iterative Neoclassical Conservative Solver

On-surface potential and radial electric field variations in electron root stellarator plasmas

Observation of a reduced-turbulence regime with boron powder injection in a stellarator

Collisional transport of impurities with flux-surface varying density in stellarators

The importance of the classical channel in the impurity transport of optimized stellarators

Adjoint methods for stellarator shape optimization and sensitivity analysis

Optimization of flux-surface density variation in stellarator plasmas with respect to the transport of collisional impurities


Dictionary of attack patterns and primitives for black-box application fault injection and resource discovery.

Discovering Vulnerabilities in COTS IoT Devices through Blackbox Fuzzing Web Management Interface

EWVHunter: Grey-Box Fuzzing with Knowledge Guide on Embedded Web Front-Ends

Twenty-two years since revealing cross-site scripting attacks: a
  systematic mapping and a comprehensive survey


HiSim - House Infrastructure Simulator


libprotobuf-mutator bindings for Python using Atheris.

Deriving Semantics-Aware Fuzzers from Web API Schemas

IvySyn: Automated Vulnerability Discovery in Deep Learning Frameworks

Sydr-Fuzz: Continuous Hybrid Fuzzing and Dynamic Analysis for Security Development Lifecycle

The CURE To Vulnerabilities in RPKI Validation

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


Hierarchical Bayesian modeling of RLDM tasks, using R & Python

Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM Package

Rapid, precise, and reliable measurement of delay discounting using a Bayesian learning algorithm

Selective Effects of the Loss of NMDA or mGluR5 Receptors in the Reward System on Adaptive Decision-Making

Feedback From Facial Expressions Contribute to Slow Learning Rate in an Iowa Gambling Task


An open-source Python package for creating fast and accurate interatomic potentials.

On-the-fly active learning of interpretable Bayesian force fields for atomistic rare events

Active learning of reactive Bayesian force fields applied to heterogeneous catalysis dynamics of H/Pt

Bayesian force fields from active learning for simulation of inter-dimensional transformation of stanene

Data-driven simulation and characterisation of gold nanoparticle melting

Uncertainty-aware molecular dynamics from Bayesian active learning for phase transformations and thermal transport in SiC

Complexity of Many-Body Interactions in Transition Metals via
  Machine-Learned Force Fields from the TM23 Data Set

Stability, mechanisms and kinetics of emergence of Au surface
  reconstructions using Bayesian force fields


StarCraft II Client - protocol definitions used to communicate with StarCraft II.

StarCraft II: A New Challenge for Reinforcement Learning

Unsupervised Hebbian Learning on Point Sets in StarCraft II

AlphaStar Unplugged: Large-Scale Offline Reinforcement Learning


Generic system-wide modern C++ for heterogeneous platforms with SYCL from Khronos Group

ExaStencils: Advanced Multigrid Solver Generation

Software for Exascale Computing - SPPEXA 2016-2019

Accelerated Neural Networks on OpenCL Devices Using SYCL-DNN

Proceedings of the International Workshop on OpenCL

Code Generation from Simulink Models with Task and Data Parallelism

International journal of computer and technology


Official home of genome aligner based upon notion of Cactus graphs

Cactus: Algorithms for genome multiple sequence alignment

Progressive Cactus is a multiple-genome aligner for the thousand-genome era

A comparative genomics multitool for scientific discovery and conservation

HAL: a hierarchical format for storing and analyzing multiple genome alignments

The mosaic oat genome gives insights into a uniquely healthy cereal crop

Pangenome graph construction from genome alignments with Minigraph-Cactus

Sequence tube maps: making graph genomes intuitive to commuters

A paternal bias in germline mutation is widespread in amniotes and can arise independently of cell division numbers

SegAlign: A Scalable GPU-Based Whole Genome Aligner

PROCEEDINGS OF SC20: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS (SC20)

High-quality reference genomes of swallowtail butterflies provide insights into their coloration evolution


GUI for brightway2


Workbench for biodiversity informatics.

The Chalcidoidea bush of life – a massive radiation blurred by mutational saturation


Library that attributes resource use, waste, emissions, and loss to economic sectors

FLOWSA: A Python Package Attributing Resource Use, Waste, Emissions, and Other Flows to Industries


Short-read sequencing tools

SeqPurge: highly-sensitive adapter trimming for paired-end NGS data

Multi-omics discovery of exome-derived neoantigens in hepatocellular carcinoma

Enrichment of SARM1 alleles encoding variants with constitutively hyperactive NADase in patients with ALS and other motor nerve disorders

Homozygous TBC1 domain-containing kinase (TBCK) mutation causes a novel lysosomal storage disease – a new type of neuronal ceroid lipofuscinosis (CLN15)?

A Non-interventional Clinical Trial Assessing Immune Responses After Radiofrequency Ablation of Liver Metastases From Colorectal Cancer

Expanding the phenotypic spectrum of FINCA (fibrosis, neurodegeneration, and cerebral angiomatosis) syndrome beyond infancy

Whole genome characterization of autochthonous Bos taurus brachyceros and introduced Bos indicus indicus cattle breeds in Cameroon regarding their adaptive phenotypic traits and pathogen resistance

Genome sequencing and transcriptome profiling in twins discordant for Mayer-Rokitansky-Küster-Hauser syndrome

Diagnostic genome sequencing improves diagnostic yield: a prospective single-centre study in 1000 patients with inherited eye diseases

Detection of circulating cell-free HPV DNA of 13 HPV types for patients with cervical cancer as potential biomarker to monitor therapy response and to detect relapse


Solar thermal power/fuel station performance simulation and optimisation using Modelica. Read a paper about our project: https://is.gd/solth


Uniform metadata schema for buildings

A case study comparing the completeness and expressiveness of two industry recognized ontologies

Formalizing Tag-Based Metadata With the Brick Ontology


PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Proximal Policy Optimization Algorithms

Reward Constrained Policy Optimization

Unsupervised State Representation Learning in Atari

Character controllers using motion VAEs

Ray RLLib: A Composable and Scalable Reinforcement Learning Library

Embodied Intelligence via Learning and Evolution

Automatic Data Augmentation for Generalization in Deep Reinforcement Learning

An Exploration of Embodied Visual Exploration

Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning

Evolving Curricula with Regret-Based Environment Design


Material from papers from KULL centre

Interplay of folded domains and the disordered low-complexity domain in mediating hnRNPA1 phase separation

Understanding the Origins of Loss of Protein Function by Analyzing the Effects of Thousands of Variants on Activity and Abundance

Refinement of α-Synuclein Ensembles Against SAXS Data: Comparison of Force Fields and Methods

Improved predictions of phase behaviour of intrinsically disordered proteins by tuning the interaction range

Integrating NMR and Simulations Reveals Motions in the UUCG Tetraloop

Conformational Ensembles of Non-Coding Elements in the SARS-CoV-2 Genome from Molecular Dynamics Simulations

Synergistic stabilization of a double mutant in chymotrypsin inhibitor 2 from a library screen in E. coli

Linking thermodynamics and measurements of protein stability

Conformational and oligomeric states of SPOP from small-angle X-ray scattering and molecular dynamics simulations


Python framework for short-term ensemble prediction systems.

Skillful Precipitation Nowcasting using Deep Generative Models of Radar

Pysteps: an open-source Python library for probabilistic precipitation nowcasting (v1.0)

Skilful nowcasting of extreme precipitation with NowcastNet


Display information about files in different file formats and find gadgets to build rop chains for different architectures (x86/x86_64, ARM/ARM64, MIPS, PowerPC, SPARC64). For disassembly ropper uses the awesome Capstone Framework.

Methodologies for Quantifying (Re-)randomization Security and Timing under JIT-ROP

Distributed Heterogeneous N-Variant Execution

DeepCheck: A Non-intrusive Control-flow Integrity Checking based on Deep Learning

MultiK: A Framework for Orchestrating Multiple Specialized Kernels

Analyzing Control Flow Integrity with LLVM-CFI

Asia-Pacific Computer Systems Architecture Conference

Breaking and Fixing Destructive Code Read Defenses

ROPNN: Detection of ROP Payloads Using Deep Neural Networks

Adelie: continuous address space layout re-randomization for Linux drivers

Proceedings of the 27th ACM International Conference on Architectural Support for Programming Languages and Operating Systems

Survey of Methods for Automated Code-Reuse Exploit Generation

Труды Института системного программирования РАН

Using Name Confusion to Enhance Security


:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

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

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

End-to-End Object Detection with Transformers

Training data-efficient image transformers & distillation through attention

Emerging Properties in Self-Supervised Vision Transformers

A ConvNet for the 2020s

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

MLP-Mixer: An all-MLP Architecture for Vision

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


Harrell Miscellaneous

Predicted Shifts in Small Mammal Distributions and Biodiversity in the Altered Future Environment of Alaska: An Open Access Data and Machine Learning Perspective

Principles of mRNA targeting via the Arabidopsis m6A-binding protein ECT2

Long-Term Survey Is Necessary to Reveal Various Shifts of Microbial Composition in Corals

Selfish chromosomal drive shapes recent centromeric histone evolution in monkeyflowers

Alternative dietary protein and water temperature influence the skin and gut microbial communities of yellowtail kingfish (Seriola lalandi)

Genome-wide identification and differentially expression analysis of lncRNAs in tilapia

Growth faltering regardless of chronic diarrhea is associated with mucosal immune dysfunction and microbial dysbiosis in the gut lumen

Genome-Wide Network of lncRNA–mRNA During Ovine Oocyte Development From Germinal Vesicle to Metaphase II in vitro

Meanders as a scaling motif for understanding of floodplain soil microbiome and biogeochemical potential at the watershed scale

Virome Sequencing of the Human Intestinal Mucosal–Luminal Interface

Frontiers in cellular and infection microbiology


ROC profiler library. Profiling with perf-counters and derived metrics.

Metrics and Design of an Instruction Roofline Model for AMD GPUs

DARM: Control-Flow Melding for SIMT Thread Divergence Reduction

GPU-initiated Fine-grained Overlap of Collective Communication with
  Computation


Open-source python package for the extraction of Radiomics features from 2D and 3D images and binary masks. Support: https://discourse.slicer.org/c/community/radiomics

Radiomics in medical imaging—“how-to” guide and critical reflection

Repeatability of Multiparametric Prostate MRI Radiomics Features

International Consensus Recommendations for the Treatment of Pediatric NMDAR Antibody Encephalitis

Neurology® neuroimmunology & neuroinflammation

18F-FDG PET/CT Radiomic Analysis with Machine Learning for Identifying Bone Marrow Involvement in the Patients with Suspected Relapsed Acute Leukemia

Machine Learning-Based Radiomics Predicts Radiotherapeutic Response in Patients With Acromegaly

CT-Based Radiomics Analysis to Predict Malignancy in Patients with Intraductal Papillary Mucinous Neoplasm (IPMN) of the Pancreas

Deep Learning versus Classical Regression for Brain Tumor Patient Survival Prediction

Multivariate radiomics models based on 18F-FDG hybrid PET/MRI for distinguishing between Parkinson’s disease and multiple system atrophy

An interpretable multiparametric radiomics model for the diagnosis of schizophrenia using magnetic resonance imaging of the corpus callosum

Longitudinal MRI-based fusion novel model predicts pathological complete response in breast cancer treated with neoadjuvant chemotherapy: a multicenter, retrospective study


Rapid large-scale prokaryote pan genome analysis

Translating genomics into practice for real-time surveillance and response to carbapenemase-producing Enterobacteriaceae: evidence from a complex multi-institutional KPC outbreak

Diversity of the Genomes and Neurotoxins of Strains of Clostridium botulinum Group I and Clostridium sporogenes Associated with Foodborne, Infant and Wound Botulism

Emergence of a Novel Salmonella enterica Serotype Reading Clonal Group Is Linked to Its Expansion in Commercial Turkey Production, Resulting in Unanticipated Human Illness in North America

Pan-Genomic Analysis of Clostridium botulinum Group II (Non-Proteolytic C. botulinum) Associated with Foodborne Botulism and Isolated from the Environment

Frequency-dependent selection can forecast evolution in Streptococcus pneumoniae

Development and Evaluation of Duplex MIRA-qPCR Assay for Simultaneous Detection of Staphylococcus aureus and non-aureus Staphylococci

Multi-Epitope Vaccine for Monkeypox Using Pan-Genome and Reverse Vaccinology Approaches

Identification of Nitrogen Fixation Genes in Lactococcus Isolated from Maize Using Population Genomics and Machine Learning

Description of Three Novel Members in the Family Geobacteraceae, Oryzomonas japonicum gen. nov., sp. nov., Oryzomonas sagensis sp. nov., and Oryzomonas ruber sp. nov.

Two multi-fragment recombination events resulted in the β-lactam-resistant serotype 11A-ST6521 related to Spain9V-ST156 pneumococcal clone spreading in south-western Europe, 2008 to 2016


A deep learning empowered open-source platform for reacting flow simulations

Numerical investigation of azimuthal thermoacoustic instability in a gas turbine model combustor

An integrated framework for accelerating reactive flow simulation using
  GPU and machine learning models


IBM Analog Hardware Acceleration Kit

A flexible and fast PyTorch toolkit for simulating training and
  inference on analog crossbar arrays

NeuroSim Simulator for Compute-in-Memory Hardware Accelerator: Validation and Benchmark

Neural Network Training with Asymmetric Crosspoint Elements

Using the IBM Analog In-Memory Hardware Acceleration Kit for Neural
  Network Training and Inference


Python package for studying large scale structure, cosmology, and galaxy evolution using N-body simulations and halo models

Introducing decorated HODs: modelling assembly bias in the galaxy–halo connection

Monthly Notices of the Royal Astronomical Society

Forward Modeling of Large-scale Structure: An Open-source Approach with Halotools

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

Generating synthetic cosmological data with GalSampler

The outer stellar mass of massive galaxies: a simple tracer of halo mass with scatter comparable to richness and reduced projection effects

A Short Research Note on Calculating Exact Distribution Functions and Random Sampling for the 3D NFW Profile


Generate embeddings from large-scale graph-structured data.

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

Representation Learning for Dynamic Graphs: A Survey

PyTorch-BigGraph: A Large-scale Graph Embedding System

Drug-Drug Interaction Prediction Based on Knowledge Graph Embeddings and Convolutional-LSTM Network

Knowledge Graph Embeddings and Explainable AI

LibKGE - A knowledge graph embedding library for reproducible research

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING: SYSTEM DEMONSTRATIONS

Inference Attacks Against Graph Neural Networks

TwHIN: Embedding the Twitter Heterogeneous Information Network for
  Personalized Recommendation

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

Modern Baselines for SPARQL Semantic Parsing

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


The C-based Firmware Patching Framework for Broadcom/Cypress WiFi Chips that enables Monitor Mode, Frame Injection and much more

Human Activity Recognition Using CSI Information with Nexmon

WiFi-based Human Activity Recognition using Raspberry Pi

International Conference on Tools with Artificial Intelligence

QuickLoc: Adaptive Deep-Learning for Fast Indoor Localization with Mobile Devices

Stay Connected, Leave no Trace: Enhancing Security and Privacy in WiFi via Obfuscating Radiometric Fingerprints

Accurate ubiquitous localization with off-the-shelf IEEE 802.11ac devices

International Conference on Mobile Systems, Applications, and Services

A Case Study on the Monitor Mode Passive Capturing of WLAN Packets in an On-the-Move Setup

Motion Detection using CSI from Raspberry Pi 4


Pyroomacoustics is a package for audio signal processing for indoor applications. It was developed as a fast prototyping platform for beamforming algorithms in indoor scenarios.

Pyroomacoustics: A Python Package for Audio Room Simulation and Array Processing Algorithms

International Conference on Acoustics, Speech, and Signal Processing

Far-Field Automatic Speech Recognition

ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild

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

MASS: Microphone Array Speech Simulator in Room Acoustic Environment for Multi-Channel Speech Coding and Enhancement

L-SpEx: Localized Target Speaker Extraction

A study on more realistic room simulation for far-field keyword spotting

The NPU-ASLP System for Audio-Visual Speech Recognition in MISP 2022 Challenge

Focus on the Sound around You: Monaural Target Speaker Extraction via Distance and Speaker Information

Typing to Listen at the Cocktail Party: Text-Guided Target Speaker
  Extraction

Self-supervised learning with diffusion-based multichannel speech
  enhancement for speaker verification under noisy conditions


WhiteRabbit is a small application that can be used to analyse the structure and contents of a database as preparation for designing an ETL. It comes with RabbitInAHat, an application for interactive design of an ETL to the OMOP Common Data Model with the help of the the scan report generated by White Rabbit.

Feasibility and utility of applications of the common data model to multiple, disparate observational health databases

Journal of the American Medical Informatics Association : JAMIA

Transforming and evaluating the UK Biobank to the OMOP Common Data Model for COVID-19 research and beyond

Using the Data Quality Dashboard to Improve the EHDEN Network

German Claims Data for Real-World Research: Content Coverage Evaluation in OMOP CDM

Studies in health technology and informatics


This is the top-level project for the PULPissimo Platform. It instantiates a PULPissimo open-source system with a PULP SoC domain, but no cluster.

An IoT Endpoint System-on-Chip for Secure and Energy-Efficient Near-Sensor Analytics

XNOR Neural Engine: A Hardware Accelerator IP for 21.6-fJ/op Binary Neural Network Inference

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

FPnew: An Open-Source Multiformat Floating-Point Unit Architecture for Energy-Proportional Transprecision Computing

Always-On 674uW @ 4GOP/s Error Resilient Binary Neural Networks with Aggressive SRAM Voltage Scaling on a 22nm IoT End-Node

Combining Learning and Optimization for Transprecision Computing

When a Patch is Not Enough - HardFails: Software-Exploitable Hardware
  Bugs


Python particle tracking toolkit

Cooling the Motion of Diamond Nanocrystals in a Magneto-Gravitational Trap in High Vacuum

Measuring NDC80 binding reveals the molecular basis of tension-dependent kinetochore-microtubule attachments

Regulated Activation of the PAR Polarity Network Ensures a Timely and Specific Response to Spatial Cues

Integrated single- and two-photon light sheet microscopy using accelerating beams

Skyrmion Lattice Phases in Thin Film Multilayer

tobac 1.2: towards a flexible framework for tracking and analysis of clouds in diverse datasets

Formation of functional, non-amyloidogenic fibres by recombinant Bacillus subtilis TasA

Dynamics of the vapor layer below a Leidenfrost drop

Physical review. E, Statistical, nonlinear, and soft matter physics

Electrical Polarization Enables Integrative Quality Control during Bacterial Differentiation into Spores

Light Microscopy at Maximal Precision


HyPhy: Hypothesis testing using Phylogenies

Multinucleotide mutations cause false inferences of lineage-specific positive selection

Relaxed selection underlies genome erosion in socially parasitic ant species

Genomic Signature of Shifts in Selection in a Subalpine Ant and Its Physiological Adaptations

Yeast metabolic innovations emerged via expanded metabolic network and gene positive selection

Molecular Evolution of Porcine Reproductive and Respiratory Syndrome Virus Field Strains from Two Swine Production Systems in the Midwestern United States from 2001 to 2020

Random Genetic Drift and Selective Pressures Shaping the Blattabacterium Genome

Evolutionary Shortcuts via Multinucleotide Substitutions and Their Impact on Natural Selection Analyses

paPAML: An Improved Computational Tool to Explore Selection Pressure on Protein-Coding Sequences


news-please - an integrated web crawler and information extractor for news that just works

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

Tackling Fake News Detection by Continually Improving Social Context Representations using Graph Neural Networks

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

Fine-grained Classification of Political Bias in German News: A Data Set and Initial Experiments

WOAH 2021: THE 5TH WORKSHOP ON ONLINE ABUSE AND HARMS

NewsEmbed: Modeling News through Pre-trained Document Representations

Tackling Fake News Detection by Interactively Learning Representations using Graph Neural Networks

Proceedings of the First Workshop on Interactive Learning for Natural Language Processing

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

Interactively Learning Social Media Representations Improves News Source
  Factuality Detection


NLP, before and after spaCy

SGRank: Combining Statistical and Graphical Methods to Improve the State of the Art in Unsupervised Keyphrase Extraction

Joint Conference on Lexical and Computational Semantics

Theme-weighted Ranking of Keywords from Text Documents using Phrase Embeddings

Artificial intelligence for health message generation: an empirical study using a large language model (LLM) and prompt engineering

Analyzing Digital Evidence From a Telemental Health Platform to Assess Complex Psychological Responses to the COVID-19 Pandemic: Content Analysis of Text Messages (Preprint)

Bootstrap Your Own Skills: Learning to Solve New Tasks with Large
  Language Model Guidance

TextDescriptives: A Python package for calculating a large variety of
  metrics from text

Institutional embeddedness and the language of accountability: Evidence from 20 years of Canadian public audit reports

Legal Terminology Extraction with the Termolator

Proceedings of the Natural Legal Language Processing Workshop 2021


CPU and GPU-accelerated Machine Learning Library

Fast Differentially Private Matrix Factorization

Parallelizing Word2Vec in Shared and Distributed Memory

SAME but Different: Fast and High-Quality Gibbs Parameter Estimation

Stochastic Gradient Descent on Highly-Parallel Architectures

Replica-Exchange Nosé-Hoover Dynamics for Bayesian Learning on Large Datasets


Software platform for clinical neuroimaging studies

Clinica: an open source software platform for reproducible clinical neuroscience studies

Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder


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


Super easy library for BERT based NLP models

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

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Transformers: State-of-the-Art Natural Language Processing

XLNet: Generalized Autoregressive Pretraining for Language Understanding

Large Batch Optimization for Deep Learning: Training BERT in 76 minutes

Exploring Transformer Text Generation for Medical Dataset Augmentation

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

The Evolution of Language Models Applied to Emotion Analysis of Arabic Tweets

Exploring Automatic Short Answer Grading as a Tool to Assist in Human Rating

Legal Search in Case Law and Statute Law

Evolution of Composition, Readability, and Structure of Privacy Policies over Two Decades

Proceedings on Privacy Enhancing Technologies


A framework for rapid development of reliable asynchronous software.

Randomized testing of distributed systems with probabilistic guarantees

Proceedings of the ACM on programming languages

Learning-based controlled concurrency testing

Building Reliable Cloud Services Using P# (Experience Report).

Data Flow Analysis of Asynchronous Systems using Infinite Abstract Domains

Reliable State Machines: A Framework for Programming Reliable Cloud Services


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

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

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

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


Web application fuzzer

EWVHunter: Grey-Box Fuzzing with Knowledge Guide on Embedded Web Front-Ends

ESRFuzzer: an enhanced fuzzing framework for physical SOHO router devices to discover multi-Type vulnerabilities

Fuzzing Technique in Web Applications and Beyond

A Formal Approach to Exploiting Multi-stage Attacks Based on File-System Vulnerabilities of Web Applications

Practical Security Testing Of Electronic Commerce Web Applications

International journal of advanced networking and applications

A Formal Approach to Exploiting Multi-Stage Attacks based on File-System
  Vulnerabilities of Web Applications (Extended Version)

Open Source Solutions for Vulnerability Assessment: A Comparative Analysis


Mathematical Components compliant Analysis Library

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

Validating Mathematical Structures

CoqQ: Foundational Verification of Quantum Programs

A Formal Proof of PAC Learnability for Decision Stumps

A Coq Formalization of Lebesgue Integration of Nonnegative Functions

A Coq Formalization of the Bochner integral


COVID-19 Italia - Monitoraggio situazione

Spread and dynamics of the COVID-19 epidemic in Italy: Effects of emergency containment measures

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

Role of the chronic air pollution levels in the Covid-19 outbreak risk in Italy

Presence and infectivity of SARS-CoV-2 virus in wastewaters and rivers

The Psychological Impact of the COVID-19 Outbreak on Health Professionals: A Cross-Sectional Study

A simulation of a COVID-19 epidemic based on a deterministic SEIR model

SARS-CoV-2 has been circulating in northern Italy since December 2019: Evidence from environmental monitoring

Text Transformations in Contrastive Self-Supervised Learning: A Review

A Modified SIR Model for the COVID-19 Contagion in Italy

Modeling vaccination rollouts, SARS-CoV-2 variants and the requirement for non-pharmaceutical interventions in Italy

Coronavirus Disease 2019 Emergency and Cancer in the South of Italy: What's New for the Oncologist?


The Unified Phenotype Ontology (uPheno) integrates multiple phenotype ontologies into a unified cross-species phenotype ontology.

The Human Phenotype Ontology in 2021

Expansion of the Human Phenotype Ontology (HPO) knowledge base and resources

The Monarch Initiative in 2019: an integrative data and analytic platform connecting phenotypes to genotypes across species

The International Mouse Phenotyping Consortium: comprehensive knockout phenotyping underpinning the study of human disease

dictyBase and the Dicty Stock Center (version 2.0) - a progress report.

The International journal of developmental biology

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

Quantitative analysis of proteins which are members of the same protein complex but cause locus heterogeneity in disease

Choosing preferable labels for the Japanese translation of the Human Phenotype Ontology

Genomics & informatics/Genomics & Informatics


MISP (core software) - Open Source Threat Intelligence and Sharing Platform

Investigating Sharing of Cyber Threat Intelligence and Proposing A New Data Model for Enabling Automation in Knowledge Representation and Exchange

Open Dataset of Phishing and Tor Hidden Services Screen-captures

Collaborative Information Sharing for ML-Based Threat Detection

Carl-Hauser - Open Source Image Matching Algorithms Benchmarking Framework.


Mirror of the official PostgreSQL GIT repository. Note that this is just a *mirror* - we don't work with pull requests on github. To contribute, please see https://wiki.postgresql.org/wiki/Submitting_a_Patch

dictyExpress: a web-based platform for sequence data management and analytics in Dictyostelium and beyond

Balsa: Learning a Query Optimizer Without Expert Demonstrations

Proceedings of the 2022 International Conference on Management of Data

Leveraging range joins for the computation of overlap joins

Models for energy consumption of data structures and algorithms

NEURON: Query Optimization Meets Natural Language Processing For Augmenting Database Education

White-box methodologies, programming abstractions and libraries

Benchmarking Hashing Algorithms for Load Balancing in a Distributed Database Environment

Condition Sensing for Electricity Infrastructure in Disasters by Mining Public Topics from Social Media

Parallel External Sorting of ASCII Records Using Learned Models

Power models, energy models and libraries for energy-efficient concurrent data structures and algorithms