Generative Adversarial Networks for High Energy Physics extended to a multi-layer calorimeter simulation

CaloGAN: Simulating 3D High Energy Particle Showers in Multi-Layer Electromagnetic Calorimeters with Generative Adversarial Networks

Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis

Accelerating Science with Generative Adversarial Networks: An Application to 3D Particle Showers in Multilayer Calorimeters

Geometry Score: A Method For Comparing Generative Adversarial Networks

Nanosecond machine learning event classification with boosted decision trees in FPGA for high energy physics


PDEBench: An Extensive Benchmark for Scientific Machine Learning

Fourier Neural Operator for Parametric Partial Differential Equations

PDEBENCH: An Extensive Benchmark for Scientific Machine Learning

Multiple Physics Pretraining for Physical Surrogate Models

Learning Neural PDE Solvers with Parameter-Guided Channel Attention

Data-Efficient Operator Learning via Unsupervised Pretraining and In-Context Learning


Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter notebooks explaining the behavior of Transformer-based language models (like GPT2, BERT, RoBERTA, T5, and T0).

AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing

Ecco: An Open Source Library for the Explainability of Transformer Language Models

Meeting of the Association for Computational Linguistics

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

GPT-D: Inducing Dementia-related Linguistic Anomalies by Deliberate Degradation of Artificial Neural Language Models

GeMI: interactive interface for transformer-based Genomic Metadata Integration

Database : the journal of biological databases and curation


Sequential Monte Carlo in python

Waste-free Sequential Monte Carlo

The Normal-Generalised Gamma-Pareto Process: A Novel Pure-Jump Lévy Process with Flexible Tail and Jump-Activity Properties

On backward smoothing algorithms


Yet another Japanese morphological analyzer

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

The NiuTrans Machine Translation Systems for WMT20

Empirical Methods in Natural Language Processing

A clinical specific BERT developed using a huge Japanese clinical text corpus

Improved and scalable online learning of spatial concepts and language models with mapping

fugashi, a Tool for Tokenizing Japanese in Python

WeChat Neural Machine Translation Systems for WMT21

An Empirical Study of Generating Texts for Search Engine Advertising

North American Chapter of the Association for Computational Linguistics

Improving Japanese-to-English Neural Machine Translation by Paraphrasing the Target Language

Japanese to English/Chinese/Korean Datasets for Translation Quality Estimation and Automatic Post-Editing

Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence Modeling


Remote Desktop Protocol in Twisted Python

A Comparative Analysis of Honeypots on Different Cloud Platforms

Honeypot Implementation in a Cloud Environment


Flops counter for convolutional networks in pytorch framework

Green AI

PRGC: Potential Relation and Global Correspondence Based Joint Relational Triple Extraction

Intriguing Findings of Frequency Selection for Image Deblurring

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

Less Is More: Fast Multivariate Time Series Forecasting with Light
  Sampling-oriented MLP Structures

Deep Gradient Learning for Efficient Camouflaged Object Detection

WORD: A large scale dataset, benchmark and clinical applicable study for abdominal organ segmentation from CT image

Diffusion Probabilistic Model Made Slim

Sandglasset: A Light Multi-Granularity Self-attentive Network For Time-Domain Speech Separation

TF-GridNet: Integrating Full- and Sub-Band Modeling for Speech
  Separation


:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language
  Models

A Survey on Multimodal Large Language Models

Mitigating Object Hallucinations in Large Vision-Language Models through
  Visual Contrastive Decoding

A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise


The second version of the Kraken taxonomic sequence classification system

A deep learning approach to pattern recognition for short DNA sequences

A simple guide to de novo transcriptome assembly and annotation

A benchmarking study of SARS-CoV-2 whole-genome sequencing protocols using COVID-19 patient samples

Struo2: efficient metagenome profiling database construction for ever-expanding microbial genome datasets

Genome-centric analysis of short and long read metagenomes reveals uncharacterized microbiome diversity in Southeast Asians

PuffAligner: a fast, efficient and accurate aligner based on the Pufferfish index

Zenodo (CERN European Organization for Nuclear Research)

Microbial Identification Using rRNA Operon Region: Database and Tool for Metataxonomics with Long-Read Sequence

Detection of a novel mcr-5.4 gene variant in hospital tap water by shotgun metagenomic sequencing

The journal of antimicrobial chemotherapy/Journal of antimicrobial chemotherapy

Non-SARS-CoV-2 genome sequences identified in clinical samples from COVID-19 infected patients: Evidence for co-infections

Bioinformatic approaches for studying the microbiome of fermented food


mPLUG-Owl & mPLUG-Owl2: Modularized Multimodal Large Language Model

mPLUG-Owl: Modularization Empowers Large Language Models with
  Multimodality

mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image
  and Video

mPLUG-Owl2: Revolutionizing Multi-modal Large Language Model with
  Modality Collaboration

Unified Hallucination Detection for Multimodal Large Language Models

VideoCon: Robust Video-Language Alignment via Contrast Captions


Scalable 1D Gaussian Processes in C++, Python, and Julia

Fast and Scalable Gaussian Process Modeling with Applications to Astronomical Time Series

juliet: a versatile modelling tool for transiting and non-transiting exoplanetary systems

Monthly notices of the Royal Astronomical Society

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

The CARMENES search for exoplanets around M dwarfs. A Neptune-mass planet traversing the habitable zone around HD 180617

Gaussian process modelling of granulation and oscillations in red giant stars

Monthly Notices of the Royal Astronomical Society

Gaussian Process Modeling Fermi-LAT γ-ray Blazar Variability: A Sample of Blazars with γ-ray Quasi-periodicities

A hot Saturn on an eccentric orbit around the giant star K2-132

Gaussian Process Regression for Astronomical Time Series

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

Bayesian Methods for Exoplanet Science


Problem Agnostic Speech Encoder

Adversarial Autoencoders

Multi-task self-supervised learning for Robust Speech Recognition

Learning Problem-agnostic Speech Representations from Multiple Self-supervised Tasks

Self-supervised audio representation learning for mobile devices

Multi-Task Self-Supervised Pre-Training for Music Classification

From Inference to Generation: End-to-end Fully Self-supervised Generation of Human Face from Speech

On permutation invariant training for speech source separation


Openmano is an open source project that provides a practical implementation of the reference architecture for Management & Orchestration under standardization at ETSI’s NFV ISG

5G network slicing using SDN and NFV: A survey of taxonomy, architectures and future challenges

Integrated NFV/SDN Architectures: A Systematic Literature Review

SONATA: Service Programming and Orchestration for Virtualized Software Networks

International Conference on Communications


This repo contains implementation of different architectures for emotion recognition in conversations.

DialogueRNN: An Attentive RNN for Emotion Detection in Conversations

DialogueGCN: A Graph Convolutional Neural Network for Emotion Recognition in Conversation

Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos

ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection

Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances

COSMIC: COmmonSense knowledge for eMotion Identification in Conversations

Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network

Conversational Transfer Learning for Emotion Recognition

DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification

Multi-Modal Sarcasm Detection and Humor Classification in Code-Mixed Conversations

IEEE transactions on affective computing


Unified-Modal Speech-Text Pre-Training for Spoken Language Processing

SpeechT5: Unified-Modal Encoder-Decoder Pre-Training for Spoken Language Processing

SpeechUT: Bridging Speech and Text with Hidden-Unit for Encoder-Decoder Based Speech-Text Pre-training

SpeechLM: Enhanced Speech Pre-Training with Unpaired Textual Data

Pre-Training Transformer Decoder for End-to-End ASR Model with Unpaired Speech Data

The YiTrans Speech Translation System for IWSLT 2022 Offline Shared Task

Joint Pre-Training with Speech and Bilingual Text for Direct Speech to Speech Translation


pvcompare is a model for comparing the benefits of different PV technologies in local energy systems in different energy supply scenarios.


Standardized and Automated MetaBarcoding Analyses workflow (Mirror)

Comparative Analysis of Fecal Microbiomes From Wild Waterbirds to Poultry, Cattle, Pigs, and Wastewater Treatment Plants for a Microbial Source Tracking Approach

Sharing Vitamin B12 between Bacteria and Microalgae Does Not Systematically Occur: Case Study of the Haptophyte Tisochrysis lutea

Quorum Sensing Regulates the Hydrolytic Enzyme Production and Community Composition of Heterotrophic Bacteria in Coastal Waters


Process consensus file for COG-UK data

Assignment of epidemiological lineages in an emerging pandemic using the pangolin tool

The impact of viral mutations on recognition by SARS-CoV-2 specific T-cells

Gotree/Goalign: toolkit and Go API to facilitate the development of phylogenetic workflows

Rapid feedback on hospital onset SARS-CoV-2 infections combining epidemiological and sequencing data

MAJORA: Continuous integration supporting decentralised sequencing for SARS-CoV-2 genomic surveillance

Altered subgenomic RNA abundance provides unique insight into SARS-CoV-2 B.1.1.7/Alpha variant infections

Publisher Correction: Genomic epidemiology reveals multiple introductions of SARS-CoV-2 from mainland Europe into Scotland


Analysis software for the NICER mission

Constraining the Neutron Star Mass-Radius Relation and Dense Matter Equation of State with NICER. I. The Millisecond Pulsar X-Ray Data Set

NICER Discovery of Millisecond X-Ray Pulsations and an Ultracompact Orbit in IGR J17494-3030

A Comprehensive X-Ray Report on AT2019wey

Proper motion, spectra, and timing of PSR J1813-1749 using Chandra and NICER

A month of monitoring the new magnetar Swift J1555.2-5402 during an X-ray outburst

A NICER View of Spectral and Profile Evolution for Three X-Ray-emitting Millisecond Pulsars

Constraining the magnetic field geometry of the millisecond pulsar
  PSR J0030+0451 from joint radio, thermal X-ray and γ-ray emission

SXP 15.6 – an accreting pulsar close to spin equilibrium?


High-order Remap Miniapp

High-Order Multi-Material ALE Hydrodynamics

High-order local maximum principle preserving (MPP) discontinuous Galerkin finite element method for the transport equation

Monotonicity in high‐order curvilinear finite element arbitrary Lagrangian–Eulerian remap

International journal for numerical methods in fluids

Efficient exascale discretizations: High-order finite element methods

The international journal of high performance computing applications

Matrix-free subcell residual distribution for Bernstein finite element discretizations of linear advection equations

Computer methods in applied mechanics and engineering

Matrix-free subcell residual distribution for Bernstein finite elements: Monolithic limiting

High-performance finite elements with MFEM


CoLoRe - Cosmological Lofty Realizations

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

Simulated multi-tracer analyses with HI intensity mapping

LyaCoLoRe: Synthetic Datasets for Current and Future Lyman-α Forest BAO Surveys

Journal of Cosmology and Astroparticle Physics

CoLoRe: fast cosmological realisations over large volumes with multiple tracers

FITS Data Source for Apache Spark

The effect of quasar redshift errors on Lyman-α forest correlation functions

Analysing billion-objects catalogue interactively: Apache Spark for physicists

Packed Ultra-wideband Mapping Array (PUMA): Astro2020 RFI Response

The Alcock-Paczyński effect from Lyman-α forest correlations:
  Analysis validation with synthetic data

The stability of deep learning for 21cm foreground removal across
  various sky models and frequency-dependent systematics


Facet calibration for LOFAR

A radio ridge connecting two galaxy clusters in a filament of the cosmic web

Gentle reenergization of electrons in merging galaxy clusters

LOFAR discovery of an ultra-steep radio halo and giant head–tail radio galaxy in Abell 1132

A LOFAR study of non-merging massive galaxy clusters

LOFAR discovery of a double radio halo system in Abell 1758 and radio/X-ray study of the cluster pair

LOFAR discoveryof radio emission in MACS J0717.5+3745

Radio observations of the merging galaxy cluster Abell 520

First evidence of diffuse ultra-steep-spectrum radio emission surrounding the cool core of a cluster

LOFAR observations of X-ray cavity systems

Investigation of the cosmic ray population and magnetic field strength in the halo of NGC 891


The circularity.ID Open Data Standard. The standard represents the results and findings of an extensive six-year research into the needs of stakeholders in the fashion industry to achieve a circular economy.


python interface to the 3D radiative transfer code mcfost

Kinematic detection of a planet carving a gap in a protoplanetary disk

Circumbinary and circumstellar discs around the eccentric binary IRAS 04158+2805 — a testbed for binary–disc interaction

Detection of Near-infrared Water Ice at the Surface of the (Pre)Transitional Disk of AB Aur: Informing Icy Grain Abundance, Composition, and Size

A kinematic excess in the annular gap and gas depleted cavity in the
  disc around HD 169142

Observational Signatures of Circumbinary Discs I: Kinematics

Kinematic Structures in Planet-Forming Disks


TenStream - a 3D radiative transfer solver for earth system models


:dancer: :palm_tree: LYVE-SET, a method of using hqSNPs to create a phylogeny, especially for outbreak investigations

A Comparative Analysis of the Lyve-SET Phylogenomics Pipeline for Genomic Epidemiology of Foodborne Pathogens

Characterization of Emetic and Diarrheal Bacillus cereus Strains From a 2016 Foodborne Outbreak Using Whole-Genome Sequencing: Addressing the Microbiological, Epidemiological, and Bioinformatic Challenges

CTX-M-65 Extended-Spectrum β-Lactamase-Producing Salmonella enterica Serotype Infantis, United States1.

Genomic Analysis of a Pan-Resistant Isolate of Klebsiella pneumoniae, United States 2016

Protracted Outbreak of Salmonella Newport Infections Linked to Ground Beef: Possible Role of Dairy Cows-21 States, 2016-2017

Cronobacter sakazakii Infections in Two Infants Linked to Powdered Infant Formula and Breast Pump Equipment — United States, 2021 and 2022

Use of whole genome sequencing to complement characterisation of a typhoid fever outbreak among a Marshallese community: Oklahoma, 2015

Bacterial Whole Genome Sequencing inInvestigation of Salmonella OranienburgInfection Outbreak, Missouri, USA


Easily add significance brackets to your ggplots

Weighted gene co-expression network analysis of the association between upregulated AMD1, EN1 and VGLL1 and the progression and poor prognosis of breast cancer

Abstract IA20: Checkpoint blockade–induced dermatitis and colitis are dominated by tissue-resident memory T cells and Th1/Tc1 cytokines

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

The variant rs77559646 associated with aggressive prostate cancer disrupts ANO7 mRNA splicing and protein expression

Human molecular genetics online/Human molecular genetics

Painting of Fourth and the X-Linked 1.688 Satellite in D. melanogaster Is Involved in Chromosome-Wide Gene Regulation

The Spatial Features and Temporal Changes in the Gut Microbiota of a Healthy Chinese Population


The set of CPU/GPU optimised regularisation modules for iterative image reconstruction and other image processing tasks

A First-Order Primal-Dual Algorithm for Convex Problems with Applications to Imaging

Journal of mathematical imaging and vision

Total Generalized Variation

An Anisotropic Fourth-Order Diffusion Filter for Image Noise Removal

International journal of computer vision

Multi-Contrast MRI Reconstruction with Structure-Guided Total Variation

Collaborative Total Variation: A General Framework for Vectorial TV Models

VS Verlag für Sozialwissenschaften eBooks

Joint image reconstruction method with correlative multi-channel prior for x-ray spectral computed tomography

Model-based iterative reconstruction using higher-order regularization of dynamic synchrotron data


Blade Element Momentum Method for Propellers and Turbines

A simple solution method for the blade element momentum equations with guaranteed convergence

Using blade element momentum methods with gradient-based design optimization

Structural and multidisciplinary optimization


Fast Fourier Transform-accelerated Interpolation-based  t-SNE (FIt-SNE)

Dimensionality reduction for visualizing single-cell data using UMAP

A high-bias, low-variance introduction to Machine Learning for physicists

Efficient Algorithms for t-distributed Stochastic Neighborhood Embedding

Heavy-Tailed Kernels Reveal a Finer Cluster Structure in t-SNE Visualisations

MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2019, PT I

The Tumor Suppressor Role of Zinc Finger Protein 671 (ZNF671) in Multiple Tumors Based on Cancer Single-Cell Sequencing

Randomized Near Neighbor Graphs, Giant Components, and Applications in Data Science

Improving the Effectiveness and Efficiency of Stochastic Neighbour Embedding with Isolation Kernel

Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques

SG-t-SNE-Π: Swift Neighbor Embedding of Sparse Stochastic Graphs


PyRate is a program to estimate speciation, extinction, and preservation rates from fossil occurrence data using a Bayesian framework.

Improved estimation of macroevolutionary rates from fossil data using a Bayesian framework

Progress to extinction: increased specialisation causes the demise of animal clades

Current extinction rate in European freshwater gastropods greatly exceeds that of the late Cretaceous mass extinction

No evidence for the radiation time lag model after whole genome duplications in Teleostei

A quantitative workflow for modeling diversification in material culture


software for UCE (and general) phylogenomics

Ultraconserved Elements Anchor Thousands of Genetic Markers Spanning Multiple Evolutionary Timescales

PHYLUCE is a software package for the analysis of conserved genomic loci

Hyb-Seq: Combining target enrichment and genome skimming for plant phylogenomics1

A Phylogeny of Birds Based on Over 1,500 Loci Collected by Target Enrichment and High-Throughput Sequencing

Target Capture and Massively Parallel Sequencing of Ultraconserved Elements for Comparative Studies at Shallow Evolutionary Time Scales

A Phylogenomic Perspective on the Radiation of Ray-Finned Fishes Based upon Targeted Sequencing of Ultraconserved Elements (UCEs)

Target enrichment of ultraconserved elements from arthropods provides a genomic perspective on relationships among Hymenoptera

Sequence Capture versus Restriction Site Associated DNA Sequencing for Shallow Systematics

Enriching the ant tree of life: enhanced UCE bait set for genome-scale phylogenetics of ants and other Hymenoptera

Identifying conserved genomic elements and designing universal bait sets to enrich them


Algorithms for computations on random manifolds made easier

Pulling back information geometry

Laplacian Autoencoders for Learning Stochastic Representations

Laplacian Segmentation Networks: Improved Epistemic Uncertainty from
  Spatial Aleatoric Uncertainty


Julia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.


An R-package designed for climate and weather data analysis, empirical-statistical downscaling, and visualisation.

On using principal components to represent stations in empirical-statistical downscaling

Tellus. Series A, Dynamic meteorology and oceanography

A Hybrid Downscaling Approach for Future Temperature and Precipitation Change

Journal of applied meteorology and climatology

Testing a simple formula for calculating approximate intensity-duration-frequency curves

A Norwegian Approach to Downscaling

Downscaling probability of long heatwaves based on seasonal mean daily maximum temperatures

Advances in statistical climatology, meteorology and oceanography


Open-source C++ implementation of the recently proposed online active set strategy

Nonlinear Model Predictive Velocity Control of a VTOL Tiltwing UAV

International Conference on Robotics and Automation

Model predictive force control in milling based on an ensemble Kalman filter

Modelling, Analysis, and Control of OmniMorph: an Omnidirectional Morphing Multi-rotor UAV


Python utility to estimate, compare, and reweight RNA energetics across many secondary structure algorithms.

RNA genome conservation and secondary structure in SARS-CoV-2 and SARS-related viruses: a first look

bioRxiv : the preprint server for biology

Combinatorial optimization of mRNA structure, stability, and translation for RNA-based therapeutics

Deep learning models for predicting RNA degradation via dual crowdsourcing

RNAdegformer: accurate prediction of mRNA degradation at nucleotide resolution with deep learning

RNA structure landscape ofS. cerevisiaeintrons


R interface to the fishbase.org database

Susceptibility of European freshwater fish to climate change: species profiling based on life-history and environmental characteristics

Signatures of the collapse and incipient recovery of an overexploited marine ecosystem


A tool for the unsupervised clustering of cells from single cell RNA-Seq experiments

Clustering of single-cell multi-omics data with a multimodal deep learning method

Deep Learning in Single-Cell Analysis

Single Cell Self-Paced Clustering with Transcriptome Sequencing Data

International journal of molecular sciences

Single-cell data clustering based on sparse optimization and low-rank matrix factorization


This project contains command line tools to perform rigid, affine and non-linear registration of nifti or analyse images as well as utilities

An automated framework for localization, segmentation and super-resolution reconstruction of fetal brain MRI

Learn2Reg: comprehensive multi-task medical image registration
  challenge, dataset and evaluation in the era of deep learning

NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration

Automated White Matter Hyperintensity Segmentation Using Bayesian Model Selection: Assessment and Correlations with Cognitive Change

Evaluation of MRI-derived surrogate signals to model respiratory motion

Biomedical physics & engineering express

AutoProstate: Towards Automated Reporting of Prostate MRI for Prostate Cancer Assessment Using Deep Learning

Diffusion tensor driven image registration: a deep learning approach

Substantially thinner internal granular layer and reduced molecular layer surface in the cerebellar cortex of the Tc1 mouse model of down syndrome – a comprehensive morphometric analysis with active staining contrast-enhanced MRI

Presumed small vessel disease, imaging and cognition markers in the Alzheimer’s Disease Neuroimaging Initiative

Treatment reduces the incidence of newly appearing multiple sclerosis lesions evolving into chronic active, slowly expanding lesions: A retrospective analysis


Fast implementation of the edit distance(Levenshtein distance)

Neural Fuzzy Repair: Integrating Fuzzy Matches into Neural Machine Translation

TFBSshape: an expanded motif database for DNA shape features of transcription factor binding sites

The Golden Eras of Graphene Science and Technology: Bibliographic
  Evidences From Journal and Patent Publications

ngsComposer: an automated pipeline for empirically based NGS data quality filtering

Authorship Obfuscation in Multilingual Machine-Generated Text Detection

Multi-Task Learning for Argumentation Mining

Covering a sentence in form and meaning with fewer retrieved sentences

Pacific Asia Conference on Language, Information and Computation

Phone-ing it in: Towards Flexible Multi-Modal Language Model Training by Phonetic Representations of Data

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


:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

Conformer: Convolution-augmented Transformer for Speech Recognition

Sequence Transduction with Recurrent Neural Networks

Streaming End-to-end Speech Recognition For Mobile Devices

Jasper: An End-to-End Convolutional Neural Acoustic Model

ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context

TorchAudio: Building Blocks for Audio and Speech Processing


A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

Relief-Based Feature Selection: Introduction and Review

Benchmarking Relief-Based Feature Selection Methods for Bioinformatics Data Mining

Another Round of “Clue” to Uncover the Mystery of Complex Traits

Statistical and Machine Learning Link Selection Methods for Brain Functional Networks: Review and Comparison


A library for debugging/inspecting machine learning classifiers and explaining their predictions

Explainable Artificial Intelligence for Human Decision-Support System in Medical Domain

Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review

FAT Forensics: A Python Toolbox for Implementing and Deploying Fairness, Accountability and Transparency Algorithms in Predictive Systems

Named Entity Recognition for Sensitive Data Discovery in Portuguese

Explainable AI for Bioinformatics: Methods, Tools, and Applications

Prediction of Mean Wave Overtopping Discharge Using Gradient Boosting Decision Trees

ferret: a Framework for Benchmarking Explainers on Transformers

Genetic analysis of coronary artery disease using tree-based automated machine learning informed by biology-based feature selection

Transfer Learning Facilitates the Prediction of Polymer-Surface Adhesion
  Strength

Machine learning‐based identification and related features of depression in patients with diabetes mellitus based on the Korea National Health and Nutrition Examination Survey: A cross-sectional study


Convert ONNX model graph to Keras model format.

DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models

Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition


Luminaire is a python package that provides ML driven solutions for monitoring time series data.

Building an Automated and Self-Aware Anomaly Detection System

Root Cause Detection Among Anomalous Time Series Using Temporal State Alignment

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


Object detection, 3D detection, and pose estimation using center point detection:

Objects as Points

Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types

Detecting Objects from Space: An Evaluation of Deep-Learning Modern Approaches

Shift Equivariance in Object Detection

Lite-FPN for Keypoint-based Monocular 3D Object Detection

Benchmarking Object Detection Deep Learning Models in Embedded Devices

Human Pose Estimation in Monocular Omnidirectional Top-View Images

Empirical Upper Bound, Error Diagnosis and Invariance Analysis of Modern Object Detectors


WannierTools: An open-source software package for novel topological materials. Full documentation:

Nodal-chain metals

Irvsp: To obtain irreducible representations of electronic states in the VASP

Three-component fermions with surface Fermi arcs in tungsten carbide

Transition between strong and weak topological insulator in ZrTe5 and HfTe5

Phonon-induced topological transition to a type-II Weyl semimetal

Topological semimetal to insulator quantum phase transition in the Zintl compounds B a 2 X (X =Si ,Ge )

Topologically nontrivial electronic states in CaSn3


Development repository for the Triton language and compiler

FlashAttention-2: Faster Attention with Better Parallelism and Work
  Partitioning

Triton: an intermediate language and compiler for tiled neural network computations

Proceedings of the 3rd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages

CLBlast: A Tuned OpenCL BLAS Library

Pixelated Butterfly: Simple and Efficient Sparse training for Neural Network Models

Input-Aware Auto-Tuning of Compute-Bound HPC Kernels

MosaicBERT: A Bidirectional Encoder Optimized for Fast Pretraining

ZeroQuant-HERO: Hardware-Enhanced Robust Optimized Post-Training
  Quantization Framework for W8A8 Transformers


Python library for direct access to ICOS time series data.


LCIA Formatter


Measurement methodology for advertising emissions


Low bandwidth DoS tool. Slowloris rewrite in Python.

CICIoT2023: A Real-Time Dataset and Benchmark for Large-Scale Attacks in IoT Environment

SDN-Assisted Network-Based Mitigation of Slow DDoS Attacks

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

Zenodo (CERN European Organization for Nuclear Research)

Towards Explainable Meta-Learning for DDoS Detection


Multi-sample somatic variant caller

KRAS mutations in blood circulating cell-free DNA: a pancreatic cancer case-control

Circulating tumor DNA detection in head and neck cancer: evaluation of two different detection approaches

Needlestack: an ultra-sensitive variant caller for multi-sample next generation sequencing data


Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation

Learning to optimize halide with tree search and random programs

Autopilot: workload autoscaling at Google

PROCEEDINGS OF THE FIFTEENTH EUROPEAN CONFERENCE ON COMPUTER SYSTEMS (EUROSYS'20)

A Survey on Compiler Autotuning using Machine Learning

Automatic construction of inlining heuristics using machine learning

Symposium on Code Generation and Optimization

Smart, adaptive mapping of parallelism in the presence of external workload

Blended, precise semantic program embeddings

Programming Language Design and Implementation

IR2Vec: LLVM IR based Scalable Program Embeddings

ACM transactions on architecture and code optimization

Continuous learning of compiler heuristics

High Performance Embedded Architectures and Compilers

PPoPP - GPTune: multitask learning for autotuning exascale applications

ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

Bliss: auto-tuning complex applications using a pool of diverse lightweight learning models


Deep Fact Validation

Knowledge Graph Validation

Towards Knowledge Graphs Validation through Weighted Knowledge Sources

Knowledge Graphs Evolution and Preservation -- A Technical Report from ISWS 2019


Universal Transcript Archive: comprehensive genome-transcript alignments; multiple transcript sources, versions, and alignment methods; available as a docker image

VariantValidator: Accurate validation, mapping, and formatting of sequence variation descriptions

hgvs: A Python package for manipulating sequence variants using HGVS nomenclature: 2018 Update

Simulation studies, 3D QSAR and molecular docking on a point mutation of protein kinase B with flavonoids targeting ovarian Cancer

My Cancer Genome: Coevolution of Precision Oncology and a Molecular Oncology Knowledgebase

Unraveling the Mystery: Next Generation Sequencing Sheds Light on Neuroblastoma Pathogenesis and Targeted Therapies

Frontiers in bioscience (Landmark edition)


A language for symbolic transitions system, inspired by Ivy.

Ivy: A Multi-modal Verification Tool for Distributed Algorithms

Inferring Inductive Invariants from Phase Structures

On Symmetry and Quantification: A New Approach to Verify Distributed Protocols

Towards an Automatic Proof of Lamport's Paxos

Plain and Simple Inductive Invariant Inference for Distributed Protocols
  in TLA+


Web Application Security Scanner Framework

Securing Web Applications through a Framework of Source Code Analysis

Journal of computer sciences/Journal of computer science

Semantic Similarity-Based Clustering of Findings From Security Testing
  Tools

Open Source Solutions for Vulnerability Assessment: A Comparative Analysis


PeTar is a high-performance N-body code for modelling the evolution of star clusters and tidal streams, including the effect of galactic potential, dynamics of binary and hierarchical system, single and binary stellar evolution.

The impact of massive stars and black holes on the fate of open star clusters and their tidal streams

A tale of caution: the tails of NGC 752 are much longer than claimed

Monthly notices of the Royal Astronomical Society

Gravitational wave of intermediate-mass black holes in Population III star clusters

Compact Binary Formation in Open Star Clusters I: High Formation
  Efficiency of Gaia BHs and Their Multiplicities

The Spatial Distributions of Blue Main-sequence Stars in Magellanic Cloud Star Clusters

On the Origin of the Split Main Sequences of the Young Massive Cluster NGC 1856

SIRIUS Project. IV. The formation history of the Orion Nebula Cluster
  driven by clump mergers

Black hole binary mergers in dense star clusters: the importance of primordial binaries


Multiple paper open-source codes of the Microsoft Research Asia DKI group

How Far are We from Effective Context Modeling? An Exploratory Study on Semantic Parsing in Context

Compositional Generalization by Learning Analytical Expressions

Incomplete Utterance Rewriting as Semantic Segmentation

Reasoning Like Program Executors

Learning Algebraic Recombination for Compositional Generalization

Awakening Latent Grounding from Pretrained Language Models for Semantic Parsing

Towards Robustness of Text-to-SQL Models Against Natural and Realistic Adversarial Table Perturbation

"What Do You Mean by That?" A Parser-Independent Interactive Approach for Enhancing Text-to-SQL

LogiGAN: Learning Logical Reasoning via Adversarial Pre-training

Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting


Global shoreline mapping tool from satellite imagery

CoastSat: A Google Earth Engine-enabled Python toolkit to extract shorelines from publicly available satellite imagery

Interannual Response of Reef Islands to Climate-Driven Variations in Water Level and Wave Climate

A 1.2 Billion Pixel Human-Labeled Dataset for Data-Driven Classification of Coastal Environments

Large regional variability in coastal erosion caused by ENSO


A smaller subset of 10 easily classified classes from Imagenet, and a little more French

Erasing Concepts from Diffusion Models

Dataset Distillation using Neural Feature Regression

Optimizing the energy consumption of spiking neural networks for
  neuromorphic applications

Training Deep Spiking Neural Networks

When Do Flat Minima Optimizers Work?

πBO: Augmenting Acquisition Functions with User Beliefs for Bayesian
  Optimization

Transferability Estimation using Bhattacharyya Class Separability

Understanding and Mitigating Copying in Diffusion Models

Privacy-Preserving Image Classification Using an Isotropic Network

Residual Relaxation for Multi-view Representation Learning


Natural Language Processing Tutorial for Deep Learning Researchers

Attention Is All You Need

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

Distributed Representations of Words and Phrases and their Compositionality

Efficient Estimation of Word Representations in Vector Space

Neural Machine Translation by Jointly Learning to Align and Translate

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Bag of Tricks for Efficient Text Classification

Predicting Subjective Features from Questions on QA Websites using BERT

2020 6th International Conference on Web Research (ICWR)


min(DALL·E) is a fast, minimal port of DALL·E Mini to PyTorch

StoryDALL-E: Adapting Pretrained Text-to-Image Transformers for Story Continuation

GenEval: An Object-Focused Framework for Evaluating Text-to-Image
  Alignment

Detecting Euphemisms with Literal Descriptions and Visual Imagery


ASDL: Automatic Second-order Differentiation Library for PyTorch

Optimizing Neural Networks with Kronecker-factored Approximate Curvature

Laplace Redux -- Effortless Bayesian Deep Learning

Shampoo: Preconditioned Stochastic Tensor Optimization

ASDL: A Unified Interface for Gradient Preconditioning in PyTorch

Posterior Refinement Improves Sample Efficiency in Bayesian Neural
  Networks


A cross-platform and ultrafast toolkit for FASTA/Q file manipulation

SeqKit: A Cross-Platform and Ultrafast Toolkit for FASTA/Q File Manipulation

A chromosome-level Amaranthus cruentus genome assembly highlights gene family evolution and biosynthetic gene clusters that may underpin the nutritional value of this traditional crop

The Plant journal : for cell and molecular biology

Rapid and comprehensive diagnostic method for repeat expansion diseases using nanopore sequencing

Einkorn genomics sheds light on history of the oldest domesticated wheat

Haplotype assignment of longitudinal viral deep sequencing data using covariation of variant frequencies

Biallelic expansion in RFC1 as a rare cause of Parkinson’s disease

Systematic benchmarking of nanopore Q20+ kit in SARS-CoV-2 whole genome sequencing

Whole-Genome Sequence of Entomortierella parvispora E1425, a Mucoromycotan Fungus Associated with Burkholderiaceae-Related Endosymbiotic Bacteria

KEGG_Extractor: An Effective Extraction Tool for KEGG Orthologs

Massive Parallel Alignment of RNA-seq Reads in Serverless Computing


This repository is to support contributions for tools for the Project CodeNet dataset hosted in DAX

Self-Refine: Iterative Refinement with Self-Feedback

The Adverse Effects of Code Duplication in Machine Learning Models of Code

Project CodeNet: A Large-Scale AI for Code Dataset for Learning a Diversity of Coding Tasks

Learning to Represent Programs with Heterogeneous Graphs

Learning Performance-Improving Code Edits

Educational Data Mining to Support Programming Learning Using Problem-Solving Data

Impact of Practical Skills on Academic Performance: A Data-Driven Analysis

Large Language Models of Code Fail at Completing Code with Potential
  Bugs

FixEval: Execution-based Evaluation of Program Fixes for Programming Problems

Neural Machine Translation for Code Generation


Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

Order Matters: Sequence to sequence for sets

Recent advances and applications of deep learning methods in materials science

Benchmarking materials property prediction methods: the Matbench test set and Automatminer reference algorithm

Learning properties of ordered and disordered materials from multi-fidelity data

Predicting Kovats Retention Indices Using Graph Neural Networks

LLM-Prop: Predicting Physical And Electronic Properties Of Crystalline
  Solids From Their Text Descriptions

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


de novo sequence assembler using string graphs

A global reference for human genetic variation

A comprehensive assessment of somatic mutation detection in cancer using whole-genome sequencing

Denoising DNA deep sequencing data—high-throughput sequencing errors and their correction

Next-Generation Sequence Assembly: Four Stages of Data Processing and Computational Challenges

Exploring genome characteristics and sequence quality without a reference

A manually annotated Actinidia chinensis var. chinensis (kiwifruit) genome highlights the challenges associated with draft genomes and gene prediction in plants

RNA shotgun metagenomic sequencing of northern California (USA) mosquitoes uncovers viruses, bacteria, and fungi

Readjoiner: a fast and memory efficient string graph-based sequence assembler

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

Whole-Genome Sequence of the Metastatic PC3 and LNCaP Human Prostate Cancer Cell Lines


A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Attention Is All You Need

Decision Transformer: Reinforcement Learning via Sequence Modeling

Offline Reinforcement Learning as One Big Sequence Modeling Problem

Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory

Inductive Biases and Variable Creation in Self-Attention Mechanisms

Transformers are Sample-Efficient World Models

Towards Revealing the Mystery behind Chain of Thought: A Theoretical
  Perspective

Broken Neural Scaling Laws

A smile is all you need: Predicting limiting activity coefficients from
  SMILES with natural language processing

Q-learning Decision Transformer: Leveraging Dynamic Programming for
  Conditional Sequence Modelling in Offline RL


SimBA (Simple Behavioral Analysis), a pipeline and GUI for developing supervised behavioral classifiers

Open-source tools for behavioral video analysis: Setup, methods, and best practices

Lateral line ablation by ototoxic compounds results in distinct rheotaxis profiles in larval zebrafish

Prebiotic supplementation modulates selective effects of stress on behavior and brain metabolome in aged mice


A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.

Learning Transferable Architectures for Scalable Image Recognition

Neural Architecture Search with Reinforcement Learning

Regularized Evolution for Image Classifier Architecture Search

Efficient Neural Architecture Search via Parameter Sharing

Efficient and Robust Automated Machine Learning

Tune: A Research Platform for Distributed Model Selection and Training

Evaluation of a Tree-based Pipeline Optimization Tool for Automating Data Science

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators


Python parser for bash

NL2Bash: A Corpus and Semantic Parser for Natural Language Interface to the Linux Operating System

Executable formal semantics for the POSIX shell

Shell Language Processing: Unix command parsing for Machine Learning

NL2CMD: An Updated Workflow for Natural Language to Bash Commands
  Translation


The Galacticus galaxy formation model

A Differentiable Model of the Assembly of Individual and Populations of Dark Matter Halos

Quantum fluctuations masquerade as halos: Bounds on ultra-light dark
  matter from quadruply-imaged quasars

A random-walk model for dark matter halo spins

Symphony: Cosmological Zoom-in Simulation Suites over Four Decades of Host Halo Mass

Structure formation and the global 21-cm signal in the presence of Coulomb-like dark matter-baryon interactions

Tidal Tracks and Artificial Disruption of Cold Dark Matter Halos

Growing the First Galaxies' Merger Trees

Till the core collapses: the evolution and properties of
  self-interacting dark matter subhalos

Devouring the Milky Way Satellites: Modeling Dwarf Galaxies with Galacticus

Origin of supermassive black holes: predictions for the black hole
  population


Multi-format in vivo MR spectroscopy conversion to NIFTI

Big GABA: Edited MR spectroscopy at 24 research sites

BIDScoin: A User-Friendly Application to Convert Source Data to Brain Imaging Data Structure

NIfTI-MRS: A standard data format for magnetic resonance spectroscopy


A Julia package for robust neural networks.

Recurrent Equilibrium Networks: Flexible Dynamic Models with Guaranteed Stability and Robustness

Direct Parameterization of Lipschitz-Bounded Deep Networks

RobustNeuralNetworks.jl: a Package for Machine Learning and Data-Driven Control with Certified Robustness


An Unsteady Actuator Line Solver to Enable Adjoint Sensitivity Studies for Wake Steering

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


Finite Element Heat and Mass Transfer Code

Barometric Pumping Through Fractured Rock: A Mechanism for Venting Deep Methane to Mars' Atmosphere


Open Clearing House Protocol

Mobility in the Smart Grid: Roaming Protocols for EV Charging

Security of EV-Charging Protocols

An Overview of EV Roaming Protocols

Enabling EV Roaming Through Cascading WebSockets in OCPP 1.6

Journal européen des systèmes automatisés/Journal européen des systèmes automaitsés


SNIRF Format Specification

Best practices for fNIRS publications

The IPASC data format: A consensus data format for photoacoustic imaging

Open Access Multimodal fNIRS Resting State Dataset With and Without Synthetic Hemodynamic Responses

Using preregistration as a tool for transparent fNIRS study design

Wearable, high-density fNIRS and diffuse optical tomography technologies: a perspective

Introduction to the shared near infrared spectroscopy format

Open access dataset of task-free hemodynamic activity in 4-month-old infants during sleep using fNIRS

Shedding light on functional near-infrared spectroscopy and open science practices

Assessment of Surgical Tasks Using Neuroimaging Dataset (ASTaUND)


SMPL-X

Capturing and Inferring Dense Full-Body Human-Scene Contact

Human-Aware Object Placement for Visual Environment Reconstruction

EgoBody: Human Body Shape and Motion of Interacting People from Head-Mounted Devices

3D Shape Sequence of Human Comparison and Classification using Current
  and Varifolds

Representation Learning of Vertex Heatmaps for 3D Human Mesh Reconstruction From Multi-View Images


Microscope control software

Mammalian gene expression variability is explained by underlying cell state

A transcriptomic axis predicts state modulation of cortical interneurons

Effects of individual base-pairs on in vivo target search and destruction kinetics of bacterial small RNA

High-content image-based CRISPR screening reveals regulators of 3D genome architectures

bioRxiv : the preprint server for biology

Volumetric super-resolution imaging by serial ultrasectioning and stochastic optical reconstruction microscopy in mouse neural tissue


Hagelslag supports segmentation and tracking of weather fields and scalable verification, including performance diagrams and reliability diagrams.


Virtuoso is a high-performance and scalable Multi-Model RDBMS, Data Integration Middleware, Linked Data Deployment, and HTTP Application Server Platform

KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base

Pattern-based design applied to cultural heritage knowledge graphs

Publishing FAIR Data: An Exemplar Methodology Utilizing PHI-Base

KQA Pro: A Large Diagnostic Dataset for Complex Question Answering over Knowledge Base.

GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representation

Integration of Web APIs and Linked Data Using SPARQL Micro-Services—Application to Biodiversity Use Cases

Community-based Ontology Development, Annotation and Discussion with MediaWiki extension Ontokiwi and Ontokiwi-based Ontobedia.

METEOR For Multiple Target Languages Using DBnary

Correlation and Substitution in SPARQL

A partition-based Summary-Graph-Driven Method for Efficient RDF Query Processing.


GWAS Pipeline for H3Africa

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

Organizing and running bioinformatics hackathons within Africa: The H3ABioNet cloud computing experience

Genetic associations with carotid intima-media thickness link to atherosclerosis with sex-specific effects in sub-Saharan Africans

SWATH-MS based proteomic profiling of pancreatic ductal adenocarcinoma tumours reveals the interplay between the extracellular matrix and related intracellular pathways

Genome-wide association study of population-standardised cognitive performance phenotypes in a rural South African community


Tools to work with Allen Inst CCF data in matlab

Distributed coding of choice, action and engagement across the mouse brain

A tool for analyzing electrode tracks from slice histology

Rapid suppression and sustained activation of distinct cortical regions for a delayed sensory-triggered motor response

Corticothalamic feedback sculpts visual spatial integration in mouse thalamus

Distance-tuned neurons drive specialized path integration calculations in medial entorhinal cortex

Distributed correlates of visually-guided behavior across the mouse brain

ZETA: a parameter-free statistical test for neuronal responsiveness

Organization of feedback projections to mouse primary visual cortex

Histological E-data Registration in rodent Brain Spaces

Delay eyeblink conditioning performance and brain-wide c-Fos expression in male and female mice


Tools for mapping stars and planets.

������������: Analytic Occultation Light Curves

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

The Young Planet DS Tuc Ab Has a Low Obliquity

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

Mapping stellar surfaces III: An Efficient, Scalable, and Open-Source
  Doppler Imaging Model

Analytic Light Curves in Reflected Light: Phase Curves, Occultations, and Non-Lambertian Scattering for Spherical Planets and Moons

TESS Photometric Mapping of a Terrestrial Planet in the Habitable Zone: Detection of Clouds, Oceans, and Continents

Efficient and Precise Transit Light Curves for Rapidly Rotating, Oblate Stars


Citation Style Language schema

Open collaborative writing with Manubot

Influence of Inflammation on Cytochromes P450 Activity in Adults: A Systematic Review of the Literature

Perceptions of International Student Mobility: A Qualitative Case Study of Pakistan

Journal of education and educational development

Okula Bağlılık Ölçeğinin Türkçeye Uyarlanması

Abant İzzet Baysal Üniversitesi Eğitim Fakültesi Dergisi

Discovering the mechanisms of abstraction in the performance of work teams in children to solve computational problems

Developing Youth Competencies: The Impact of Program Quality

Revitalisasi Penerapan Qanun Nomor 6 Tahun 2014 tentang Hukum Jinayat di Kota Langsa Aceh

Islamic Populism Politics and Its Threat to Indonesian Democracy

The management of the Sars-CoV-2 pandemic in Italy, lessons earnt and reflections for the future.

An Examination of the Month-of-the-year Effect at Damascus Securities Exchange

International Journal of Economics and Financial Issues


A tool to quickly and easily create inputs for power systems models


A machine learning library for detecting anomalies in signals.

Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks

The Machine Learning Bazaar: Harnessing the ML Ecosystem for Effective System Development

SIGMOD'20: PROCEEDINGS OF THE 2020 ACM SIGMOD INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Graph-Augmented Normalizing Flows for Anomaly Detection of Multiple Time Series

Sintel: A Machine Learning Framework to Extract Insights from Signals

Proceedings of the 2022 International Conference on Management of Data

AER: Auto-Encoder with Regression for Time Series Anomaly Detection


Half Field Offense in Robocup 2D Soccer

Deep Reinforcement Learning in Parameterized Action Space

Parametrized Deep Q-Networks Learning: Reinforcement Learning with Discrete-Continuous Hybrid Action Space

Situational Awareness by Risk-Conscious Skills

Curriculum Learning with a Progression Function

A survey of benchmarks for reinforcement learning algorithms

Situationally Aware Options


Waymo Open Dataset

LET-3D-AP: Longitudinal Error Tolerant 3D Average Precision for
  Camera-Only 3D Detection

3D Cascade RCNN: High Quality Object Detection in Point Clouds

USB: Universal-Scale Object Detection Benchmark

The Waymo Open Sim Agents Challenge

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

trajdata: A Unified Interface to Multiple Human Trajectory Datasets

Ridon Vehicle: Drive-by-Wire System for Scaled Vehicle Platform and Its Application on Behavior Cloning


Resilience Atlas - Evidence-based decision-making around resilience


What does it take to decarbonize your state?


The National Renewable Energy Laboratory Wind Analysis Libray (NRWAL)


A map representation based on 3D segments

SegMap: Segment-based mapping and localization using data-driven descriptors

The international journal of robotics research

SegMap: 3D Segment Mapping using Data-Driven Descriptors

LocNet: Global localization in 3D point clouds for mobile vehicles

Incremental-Segment-Based Localization in 3-D Point Clouds

International Conference on Robotics and Automation

SemSegMap – 3D Segment-based Semantic Localization

LocNet: Global localization in 3D point clouds for mobile robots.


This repository hosts the tracker for issues pertaining to GO annotations.

The Gene Ontology Resource: 20 years and still GOing strong

A GO catalogue of human DNA-binding transcription factors

Categorizing Sequences of Concern by Function To Better Assess Mechanisms of Microbial Pathogenesis


Embedded finite element methods in Julia

Robust high-order unfitted finite elements by interpolation-based discrete extension

Geometrical discretisations for unfitted finite elements on explicit boundary representations

Conditioning of a Hybrid High-Order Scheme on Meshes with Small Faces

Space-time unfitted finite element methods for time-dependent problems on moving domains

Cut finite element discretizations of cell-by-cell EMI electrophysiology
  models

High order unfitted finite element discretizations for explicit boundary
  representations


The RWTH ASR Toolkit.

Development of Hybrid ASR Systems for Low Resource Medical Domain
  Conversational Telephone Speech

RASR2: The RWTH ASR Toolkit for Generic Sequence-to-sequence Speech Recognition


Jenetics - Genetic Algorithm, Genetic Programming, Grammatical Evolution, Evolutionary Algorithm, and Multi-objective Optimization

Network intrusion detection based on deep learning model optimized with rule-based hybrid feature selection

GECCO (Companion) - ECJ at 20: toward a general metaheuristics toolkit

Proceedings of the Genetic and Evolutionary Computation Conference Companion

Metaheuristic Techniques

From Raw Data to Protein Backbone Chemical Shifts Using NMRFx Processing and NMRViewJ Analysis

Anytime Diagnosis for Reconfiguration

Aggregation of Households in Community Energy Systems: An Analysis from Actors’ and Market Perspectives

Maximizing MapReduce job speed and reliability in the mobile cloud by optimizing task allocation

Chips-n-Salsa: A Java Library of Customizable, Hybridizable, Iterative, Parallel, Stochastic, and Self-Adaptive Local Search Algorithms

A New Hybrid Genetic and Information Gain Algorithm for Imputing Missing Values in Cancer Genes Datasets

International journal of intelligent systems and applications

The Evolutionary Optimization of a Company’s Return on Equity Factor: Towards the Agent-Based Bio-Inspired System Supporting Corporate Finance Decisions


Tioga is a library for overset grid assembly on parallel distributed systems

ExaWind: A multifidelity modeling and simulation environment for wind energy

A parallel direct cut algorithm for high-order overset methods with application to a spinning golf ball

Validation of blade-resolved computational fluid dynamics for a MW-scale turbine rotor in atmospheric flow

High-order computational fluid dynamics simulations of a spinning golf ball


A battery pack simulation tool that uses the PyBaMM framework


Datasets, code and virtual workspace for the Climate Change ATLAS

An update of IPCC climate reference regions for subcontinental analysis of climate model data: definition and aggregated datasets

On the need of bias adjustment for more plausible climate change projections of extreme heat


Optimize and assist planning your garden


An R package for climate data bias correction and downscaling (part of the climate4R bundle)

Statistical downscaling with the downscaleR package (v3.1.0): contribution to the VALUE intercomparison experiment

Climate projections of a multivariate heat stress index: the role of downscaling and bias correction

A new region-aware bias-correction method for simulated precipitation in areas of complex orography


Analysis kit for large-scale structure datasets, the massively parallel way

nbodykit: An Open-source, Massively Parallel Toolkit for Large-scale Structure

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

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

Extending the modeling of the anisotropic galaxy power spectrum to k = 0.4 hMpc−1

Journal of Cosmology and Astroparticle Physics

Iterative initial condition reconstruction

Modeling biased tracers at the field level

An optimal FFT-based anisotropic power spectrum estimator

The completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: 1000 multi-tracer mock catalogues with redshift evolution and systematics for galaxies and quasars of the final data release

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

Halo bias in Lagrangian Space: Estimators and theoretical predictions


High-performance NetFlow v5/v9 and IPFIX collector (RFC7011)

Fine-grained TLS services classification with reject option

Encrypted Web traffic dataset: Event logs and packet traces

A Blockchained AutoML Network Traffic Analyzer to Industrial Cyber Defense and Protection


Sequential regulatory activity predictions with deep convolutional neural networks.

Effective gene expression prediction from sequence by integrating long-range interactions

Evaluating the informativeness of deep learning annotations for human complex diseases

Fine-mapping of Parkinson’s disease susceptibility loci identifies putative causal variants

ReFeaFi: Genome-wide prediction of regulatory elements driving transcription initiation

Predicting 3D genome folding from DNA sequence

Integrative dissection of gene regulatory elements at base resolution

The motif composition of variable-number tandem repeats impacts gene expression

In silico discovery of repetitive elements as key sequence determinants of 3D genome folding

Identifying complex motifs in massive omics data with a variable-convolutional layer in deep neural network


Easy whole-brain modeling for computational neuroscientists

Biophysically grounded mean-field models of neural populations under electrical stimulation

neurolib: A Simulation Framework for Whole-Brain Neural Mass Modeling

Spatiotemporal Patterns of Adaptation-Induced Slow Oscillations in a Whole-Brain Model of Slow-Wave Sleep

Neural Integral Equations


An implementation of the Fermionic Neural Network for ab-initio electronic structure calculations

Better, Faster Fermionic Neural Networks

Discovering Quantum Phase Transitions with Fermionic Neural Networks

A Self-Attention Ansatz for Ab-initio Quantum Chemistry

Neural Wave Functions for Superfluids

Natural Quantum Monte Carlo Computation of Excited States

Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the
  Quantum Many-Body Schrödinger Equation

Neural network variational Monte Carlo for positronic chemistry

Variational Monte Carlo on a Budget -- Fine-tuning pre-trained Neural
  Wavefunctions


Differentiate all the things!

TorchMD: A Deep Learning Framework for Molecular Simulations

Journal of chemical theory and computation

Differentiable simulation to develop molecular dynamics force fields for disordered proteins


Resource-adaptive cluster scheduler for deep learning training.

An Empirical Model of Large-Batch Training

Pollux: Co-adaptive Cluster Scheduling for Goodput-Optimized Deep Learning

AdaScale SGD: A User-Friendly Algorithm for Distributed Training


Access a database of word frequencies, in various natural languages.

SUBTLEX-UK: A new and improved word frequency database for British English

The quarterly journal of experimental psychology/Quarterly journal of experimental psychology

SUBTLEX-CH: Chinese Word and Character Frequencies Based on Film Subtitles

Deep Recurrent Encoder: an end-to-end network to model magnetoencephalography at scale

You Don't Have Time to Read This: An Exploration of Document Reading Time Prediction

Meeting of the Association for Computational Linguistics

A Contrastive Evaluation of Word Sense Disambiguation Systems for Finnish

Proceedings of the Fifth International Workshop on Computational Linguistics for Uralic Languages

ScanDL: A Diffusion Model for Generating Synthetic Scanpaths on Texts


FauxPilot - an open-source alternative to GitHub Copilot server

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of
  Large Language Models for Code Generation

Programming Is Hard -- Or at Least It Used to Be: Educational
  Opportunities And Challenges of AI Code Generation

"It's Weird That it Knows What I Want": Usability and Interactions with
  Copilot for Novice Programmers

On the Design of AI-powered Code Assistants for Notebooks


Leverage your IoT enabled Solar PV Inverter to stream your solar energy usage data to a real time dashboard.


On-chain atomic swaps for Decred and other cryptocurrencies.

Cross-chain deals and adversarial commerce

A Game-Theoretic Analysis of Cross-Chain Atomic Swaps with HTLCs

A Blueprint for Interoperable Blockchains

Invited Paper: Fault-tolerant and Expressive Cross-Chain Swaps

Transferable Cross-Chain Options

Cross-chain Swaps with Preferences


Probabilistic Modeling Toolkit for Matlab/Octave.

Structural reorganization of the chromatin remodeling enzyme Chd1 upon engagement with nucleosomes

Variable Selection and Task Grouping for Multi-Task Learning

Principal component analysis for Gaussian process posteriors

Sign-regularized Multi-task Learning

Diagnosing ADHD from fMRI Scans Using Hidden Markov Models

Hidden Markov Models Applied To Intraday Momentum Trading With Side Information


Next-generation radio interferometric imaging.

w-Stacking w-projection hybrid algorithm for wide-field interferometric imaging: implementation details and improvements

Publications of the Astronomical Society of Australia/Publications Astronomical Society of Australia

Distributed and parallel sparse convex optimization for radio interferometry with PURIFY

Sparse Image Reconstruction for the SPIDER Optical Interferometric Telescope

PHOTOPTICS: PROCEEDINGS OF THE 9TH INTERNATIONAL CONFERENCE ON PHOTONICS, OPTICS AND LASER TECHNOLOGY

Load balancing for distributed interferometric image reconstruction

Scalable Bayesian uncertainty quantification with data-driven priors for
  radio interferometric imaging


GNU Octave library for connectivity analysis in large fMRI datasets

The Neuro Bureau ADHD-200 Preprocessed repository

Estimating differential latent variable graphical models with applications to brain connectivity

A Bayesian Alternative to Mutual Information for the Hierarchical Clustering of Dependent Random Variables

A dataset of long-term consistency values of resting-state fMRI connectivity maps in a single individual derived at multiple sites and vendors using the Canadian Dementia Imaging Protocol


:whale: Scripps Whale Acoustics Lab   :earth_americas: Scripps Acoustic Ecology Lab - Triton with remoras in development

Discriminating and classifying odontocete echolocation clicks in the Hawaiian Islands using machine learning methods

Ultrasonic antifouling devices negatively impact Cuvier’s beaked whales near Guadalupe Island, México

Characterizing the Long-Term, Wide-Band and Deep-Water Soundscape Off Hawai’i

SoundScape learning: An automatic method for separating fish chorus in marine soundscapes

The Journal of the Acoustical Society of America/The journal of the Acoustical Society of America

First Description of the Underwater Sounds in the Mediterranean Monk Seal Monachus monachus in Greece: Towards Establishing a Vocal Repertoire

Animals : an open access journal from MDPI


Cloud engine and platform for metabolite annotation for imaging mass spectrometry

METASPACE: A community-populated knowledge base of spatial metabolomes in health and disease

ColocML: machine learning quantifies co-localization between mass spectrometry images

ColocAI: artificial intelligence approach to quantify co-localization between mass spectrometry images


minorminer is a heuristic tool for minor embedding: given a minor and target graph, it tries to find a mapping that embeds the minor into the target.

Embedding Algorithms for Quantum Annealers with Chimera and Pegasus Connection Topologies

Approximate Approximation on a Quantum Annealer

Quantum chemistry on quantum annealers

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

Adiabatic Quantum Optimization Fails to Solve the Knapsack Problem

Embedding of complete graphs in broken Chimera graphs

Integer programming techniques for minor-embedding in quantum annealers

Tutorial: calibration refinement in quantum annealing

On the Price of Locality in Static Fast Rerouting

4-clique Network Minor Embedding for Quantum Annealers


Japanese morphological analysis engine written in pure Python

Combining Multimodal Behavioral Data of Gait, Speech, and Drawing for Classification of Alzheimer’s Disease and Mild Cognitive Impairment

fugashi, a Tool for Tokenizing Japanese in Python

Compositional Evaluation on Japanese Textual Entailment and Similarity

VLSP2022-EVJVQA Challenge: Multilingual Visual Question Answering

Journal of Computer Science and Cybernetics (Vietnam Academy of Science and Technology)/Journal of Computer Science and Cybernetics

Analysis of Dialogue in Human-Human Collaboration in Minecraft

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language
  Models with Creative Humor Generation


The pytorch re-implement of the official efficientdet with SOTA performance in real time and pretrained weights.

EfficientDet: Scalable and Efficient Object Detection

YOLO-Fine: One-Stage Detector of Small Objects Under Various Backgrounds in Remote Sensing Images

A Refined Deep Learning Architecture for Diabetic Foot Ulcers Detection

Single-Training Collaborative Object Detectors Adaptive to Bandwidth and Computation

Image-Captioning Model Compression

Research on Safety Detection of Transmission Line Disaster Prevention Based on Improved Lightweight Convolutional Neural Network

Complementary datasets to COCO for object detection


A library for adding additional forces to the REBOUND N-body integration package

REBOUNDx: a library for adding conservative and dissipative forces to otherwise symplectic N-body integrations

Monthly notices of the Royal Astronomical Society

Ultra-short-period Planets from Secular Chaos

In situ scattering of warm Jupiters and implications for dynamical histories

Moderately eccentric warm Jupiters from secular interactions with exterior companions

Monthly Notices of the Royal Astronomical Society

The Hills Mechanism and the Galactic Center S-stars

The Effect of General Relativistic Precession on Tidal Disruption Events from Eccentric Nuclear Disks

Connecting HL Tau to the observed exoplanet sample

Debris Disks in Multiplanet Systems: Are Our Inferences Compromised by Unseen Planets?

Identification of a Minimoon Fireball

Mean motion resonance capture in the context of type I migration


The Intermediate Complexity Atmospheric Research model (ICAR)


Learning embeddings for classification, retrieval and ranking.

Personalizing Dialogue Agents: I have a dog, do you have pets too?

StarSpace: Embed All The Things!

GPT4Rec: A Generative Framework for Personalized Recommendation and User
  Interests Interpretation

Dividing the Ontology Alignment Task with Semantic Embeddings and Logic-based Modules

Breaking-down the Ontology Alignment Task with a Lexical Index and Neural Embeddings.

TaskAllocator: A Recommendation Approach for Role-based Tasks Allocation in Agile Software Development

Using hyperbolic large-margin classifiers for biological link prediction

International Joint Conference on Artificial Intelligence


An Arduino library to give environmental sensors a common interface of functions for use with Arduino-framework dataloggers, such as the EnviroDIY Mayfly.

Low-Cost, Open-Source, and Low-Power: But What to Do With the Data?


FMI.jl is a free-to-use software library for the Julia programming language which integrates FMI (fmi-standard.org): load or create, parameterize, differentiate and simulate FMUs seamlessly inside the Julia programming language!

NeuralFMU: Towards Structural Integration of FMUs into Neural Networks

NeuralFMU: Presenting a Workflow for Integrating Hybrid NeuralODEs into Real-World Applications

Hybrid modeling of the human cardiovascular system using NeuralFMUs


Julia Library for Interatomic Potentials

Efficient implementation of atom-density representations

NQCDynamics.jl: A Julia package for nonadiabatic quantum classical molecular dynamics in the condensed phase

Convergence of the Discrete Minimum Energy Path

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


Robust representation of semantically constrained graphs, in particular for molecules in chemistry

Self-referencing embedded strings (SELFIES): A 100% robust molecular string representation

Data-Driven Strategies for Accelerated Materials Design

TIJAB (The International Journal of Applied Business)

SELFIES and the future of molecular string representations

DECIMER - Towards Deep Learning for Chemical Image Recognition

FastFlows: Flow-Based Models for Molecular Graph Generation

VirtualFlow 2.0 - The Next Generation Drug Discovery Platform Enabling Adaptive Screens of 69 Billion Molecules

Recent advances in the self-referencing embedded strings (SELFIES) library


Mt-KaHyPar (Multi-Threaded Karlsruhe Hypergraph Partitioner) is a shared-memory multilevel graph and hypergraph partitioner equipped with parallel implementations of techniques used in the best sequential partitioning algorithms. Mt-KaHyPar can partition extremely large hypergraphs very fast and with high quality.

Shared-Memory n-level Hypergraph Partitioning

Parallel Flow-Based Hypergraph Partitioning

Scalable High-Quality Hypergraph Partitioning


Unsupervised Learning for Image Registration

An overview of deep learning in medical imaging focusing on MRI

VoxelMorph: A Learning Framework for Deformable Medical Image Registration

An Unsupervised Learning Model for Deformable Medical Image Registration

Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration

Medical Image Computing and Computer-Assisted Intervention

Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces

Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks

A Survey of Deep Learning for Scientific Discovery

Learning Conditional Deformable Templates with Convolutional Networks

HyperMorph: Amortized Hyperparameter Learning for Image Registration

Unsupervised Deep Learning for Bayesian Brain MRI Segmentation


End-to-End recipes for pre-training and fine-tuning BERT using Azure Machine Learning Service

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

Affective and Contextual Embedding for Sarcasm Detection

International Conference on Computational Linguistics

Support-BERT: Predicting Quality of Question-Answer Pairs in MSDN using Deep Bidirectional Transformer


Neural style in TensorFlow!

A Neural Algorithm of Artistic Style

The Contextual Loss for Image Transformation with Non-Aligned Data

Laplacian-Steered Neural Style Transfer

PROCEEDINGS OF THE 2017 ACM MULTIMEDIA CONFERENCE (MM'17)

Bringing Impressionism to Life with Neural Style Transfer in Come Swim

DeepMovie: Using Optical Flow and Deep Neural Networks to Stylize Movies

Towards a Change Taxonomy for Machine Learning Systems


The next version of bwa-mem

Efficient Architecture-Aware Acceleration of BWA-MEM for Multicore Systems

SARS-CoV-2 Omicron spike mediated immune escape and tropism shift

Technology dictates algorithms: Recent developments in read alignment

Culture and identification of a “Deltamicron” SARS‐CoV‐2 in a three cases cluster in southern France

First cases of infection with the 21L/BA.2 Omicron variant in Marseille, France

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

Accelerated Seeding for Genome Sequence Alignment with Enumerated Radix Trees

International Symposium on Computer Architecture

A High-Quality Haplotype-Resolved Genome of Common Bermudagrass (Cynodon dactylon L.) Provides Insights Into Polyploid Genome Stability and Prostrate Growth

The discovery of a key prenyltransferase gene assisted by a chromosome-level Epimedium pubescens genome

First Detection of the SARS-CoV-2 Omicron BA.5/22B in Monaco


An inductive logic programming system

Learning programs by learning from failures

Inductive logic programming at 30: a new introduction

Predicate Invention by Learning From Failures

Learning logic programs by combining programs

Learning MDL logic programs from noisy data


Python library to facilitate genome assembly, annotation, and comparative genomics

ALLMAPS: robust scaffold ordering based on multiple maps

A high-quality genome assembly highlights rye genomic characteristics and agronomically important genes

Analysis of the Coptis chinensis genome reveals the diversification of protoberberine-type alkaloids

Catalase (CAT) Gene Family in Rapeseed (Brassica napus L.): Genome-Wide Analysis, Identification, and Expression Pattern in Response to Multiple Hormones and Abiotic Stress Conditions

International journal of molecular sciences

Genome Synteny Has Been Conserved Among the Octoploid Progenitors of Cultivated Strawberry Over Millions of Years of Evolution

Gene Family Evolution in the Pea Aphid Based on Chromosome-Level Genome Assembly

De novo phased assembly of the Vitis riparia grape genome

The EccDNA Replicon: A Heritable, Extranuclear Vehicle That Enables Gene Amplification and Glyphosate Resistance in Amaranthus palmeri.

Genome and time-of-day transcriptome of Wolffia australiana link morphological minimization with gene loss and less growth control

Tracing the Diploid Ancestry of the Cultivated Octoploid Strawberry


A Python parser for MediaWiki wikicode

Improving language models by retrieving from trillions of tokens

Wikipedia citations: A comprehensive data set of citations with identifiers extracted from English Wikipedia

WikiConv: A Corpus of the Complete Conversational History of a Large Online Collaborative Community

Vector Embedding of Wikipedia Concepts and Entities

Model Criticism for Long-Form Text Generation

TempEL: Linking Dynamically Evolving and Newly Emerging Entities

Graphemic Normalization of the Perso-Arabic Script

DaMuEL: A Large Multilingual Dataset for Entity Linking


DBpedia Spotlight is a tool for automatically annotating mentions of DBpedia resources in text.

Label Embedding for Zero-shot Fine-grained Named Entity Typing

Weakly-supervised Relation Extraction by Pattern-enhanced Embedding Learning

The Online Dissemination of Nature–Health Concepts: Lessons from Sentiment Analysis of Social Media Relating to “Nature-Deficit Disorder”

International journal of environmental research and public health

Automatic Synonym Discovery with Knowledge Bases

Semantic homophily in online communication: evidence from Twitter

OntoSeg: A Novel Approach to Text Segmentation Using Ontological Similarity

Combining Open Source Annotators for Entity Linking through Weighted Voting

Joint Conference on Lexical and Computational Semantics

A Context-Aware Conversational Agent in the Rehabilitation Domain

Building Enterprise Ready Applications Using Linked Open Data

Linked Open Data -- Creating Knowledge Out of Interlinked Data

Supporting the Linked Data Life Cycle Using an Integrated Tool Stack


A formal verifier and analysis tool for Solidity Smart Contracts

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

International Conference on Software Engineering

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


A fast radio interferometric calibration suite.

CUBICAL - fast radio interferometric calibration suite exploiting complex optimization

Radio footprints of a minor merger in the Shapley Supercluster: From supercluster down to galactic scales

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

HAL (Le Centre pour la Communication Scientifique Directe)

A new look at old friends – I. Imaging classical radio galaxies with uGMRT and MeerKAT

MERGHERS pilot: MeerKAT discovery of diffuse emission in nine massive Sunyaev-Zel'dovich-selected galaxy clusters from ACT

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

The Interstellar Medium in the Environment of the Supernova-less Long-duration GRB 111005A

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

Mining mini-halos with MeerKAT I. Calibration and imaging

Solution intervals considered harmful: on the optimality of radio interferometric gain solutions


Parse soil measurement data.


SEnsible Step-wise Analysis of DNA MEthylation BeadChips

SeSAMe: reducing artifactual detection of DNA methylation by Infinium BeadChips in genomic deletions

Multiomics in primary and metastatic breast tumors from the AURORA US network finds microenvironment and epigenetic drivers of metastasis

Characterizing the properties of bisulfite sequencing data: maximizing power and sensitivity to identify between-group differences in DNA methylation


Library of basic circuits for circom

SANS: Self-sovereign Authentication for Network Slices

FORT: Right-Proving and Attribute-Blinding Self-Sovereign Authentication

Bringing data minimization to digital wallets at scale with
  general-purpose zero-knowledge proofs

SoK: What don't we know? Understanding Security Vulnerabilities in SNARKs


Stellar Population Synthesis Modeling

PopSyCLE: A New Population Synthesis Code for Compact Object Microlensing Events

SPISEA: A Python-based Simple Stellar Population Synthesis Code for Star Clusters

Gravitational Microlensing Event Statistics for the Zwicky Transient Facility


LD Score Regression (LDSC)

Partitioning heritability by functional annotation using genome-wide association summary statistics

Genome-wide association study identifies 74 loci associated with educational attainment

Meta-analysis of genome-wide association studies for body fat distribution in 694 649 individuals of European ancestry

Genome-wide association studies of brain imaging phenotypes in UK Biobank

Genetic identification of brain cell types underlying schizophrenia

Comparative genetic architectures of schizophrenia in East Asian and European populations

Meta-analysis of GWAS of over 16,000 individuals with autism spectrum disorder highlights a novel locus at 10q24.32 and a significant overlap with schizophrenia

Largest GWAS of PTSD (N=20 070) yields genetic overlap with schizophrenia and sex differences in heritability

Reevaluation of SNP heritability in complex human traits

Large-scale genomic analyses link reproductive ageing to hypothalamic signaling, breast cancer susceptibility and BRCA1-mediated DNA repair


Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network,  in Pytorch

Hierarchical Text-Conditional Image Generation with CLIP Latents

RePaint: Inpainting using Denoising Diffusion Probabilistic Models

Efficient Attention: Attention with Linear Complexities

Vector-quantized Image Modeling with Improved VQGAN

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

Dream3D: Zero-Shot Text-to-3D Synthesis Using 3D Shape Prior and Text-to-Image Diffusion Models

DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models

Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models

AutoSplice: A Text-prompt Manipulated Image Dataset for Media Forensics

CLIPSonic: Text-to-Audio Synthesis with Unlabeled Videos and Pretrained Language-Vision Models


Deep Learning toolkit for Computer Vision.

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

SSD: Single Shot MultiBox Detector

Focal Loss for Dense Object Detection

Automatic Cobb Angle Detection using Vertebra Detector and Vertebra Corners Regression

A Neural Networks Approach to Detecting Lost Heritage in Historical Video

ISPRS international journal of geo-information


Credentials catching honeypot

A Comparative Analysis of Honeypots on Different Cloud Platforms

Dataset of intrusion detection alerts from a sharing platform

Honeypot Implementation in a Cloud Environment


Monte Carlo eXtreme (MCX) - GPU-accelerated photon transport simulator

A hybrid mesh and voxel based Monte Carlo algorithm for accurate and efficient photon transport modeling in complex bio-tissues

MCDataset: a public reference dataset of Monte Carlo simulated quantities for multilayered and voxelated tissues computed by massively parallel PyXOpto Python package

Quantitative photoacoustic estimates of intervascular blood oxygenation differences using linear unmixing

Effects of atlas-based anatomy on modelled light transport in the neonatal head


An Open-Source Package for Network Embedding (NE)

Graph Neural Networks: A Review of Methods and Applications

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

Schottky Diode Large-Signal Equivalent-Circuit Parameters Extraction for High-Efficiency Microwave Rectifying Circuit Design

Graph embedding on biomedical networks: methods, applications and evaluations

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

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models

Graph-based Semi-supervised Learning: A Comprehensive Review

GraphVite: A High-Performance CPU-GPU Hybrid System for Node Embedding

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

MILE: A Multi-Level Framework for Scalable Graph Embedding

T-EDGE: Temporal WEighted MultiDiGraph Embedding for Ethereum Transaction Network Analysis


A toolkit for robot learning research.

RLBench: The Robot Learning Benchmark & Learning Environment

Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task

Task-Embedded Control Networks for Few-Shot Imitation Learning

PyRep: Bringing V-REP to Deep Robot Learning

Instruction-Following Agents with Multimodal Transformer


A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)

DeepDTA: deep drug–target binding affinity prediction

DeepPurpose: a Deep Learning Based Drug Repurposing Toolkit.

Trends and Potential of Machine Learning and Deep Learning in Drug Study at Single-Cell Level

MolDesigner: Interactive Design of Efficacious Drugs with Deep Learning

ImDrug: A Benchmark for Deep Imbalanced Learning in AI-aided Drug
  Discovery

Uni-QSAR: an Auto-ML Tool for Molecular Property Prediction


TigerBot: A multi-language multi-task LLM

BLOOM: A 176B-Parameter Open-Access Multilingual Language Model

YaRN: Efficient Context Window Extension of Large Language Models

Evaluating Large Language Models for Radiology Natural Language Processing

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

Evaluating the Generation Capabilities of Large Chinese Language Models

MedChatZH: a Better Medical Adviser Learns from Better Instructions


VGP repository for the genome assembly working group

Towards complete and error-free genome assemblies of all vertebrate species

Merqury: reference-free quality, completeness, and phasing assessment for genome assemblies

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

Semi-automated assembly of high-quality diploid human reference genomes

Complete vertebrate mitogenomes reveal widespread repeats and gene duplications

A new duck genome reveals conserved and convergently evolved chromosome architectures of birds and mammals

A haplotype-resolved, de novo genome assembly for the wood tiger moth (Arctia plantaginis) through trio binning

Centuries of genome instability and evolution in soft-shell clam, Mya arenaria, bivalve transmissible neoplasia

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

The telomere-to-telomere gap-free reference genome of wild blueberry (Vaccinium duclouxii) provides its high soluble sugar and anthocyanin accumulation


MIRACL Core

Security Review of Ethereum Beacon Clients

A^2RID – Anonymous Direct Authentication and Remote Identification of
  Commercial Drones

Hierarchical Blockchain-Based Group and Group Key Management Scheme Exploiting Unmanned Aerial Vehicles for Urban Computing

An Implementation Suite for a Hybrid Public Key Infrastructure


Gene Set Enrichment Analysis in Python

GSEApy: a comprehensive package for performing gene set enrichment analysis in Python

GSEA-InContext: identifying novel and common patterns in expression experiments

Amalgamated cross-species transcriptomes reveal organ-specific propensity in gene expression evolution

Resolving the immune landscape of human prostate at a single-cell level in health and cancer

Induction of APOBEC3-mediated genomic damage in urothelium implicates BK polyomavirus (BKPyV) as a hit-and-run driver for bladder cancer

Distinct elongation stalls during translation are linked with distinct pathways for mRNA degradation

DCcov: Repositioning of drugs and drug combinations for SARS-CoV-2 infected lung through constraint-based modeling

A transcriptional cross species map of pancreatic islet cells

Multi-omics insights into host-viral response and pathogenesis in Crimean-Congo hemorrhagic fever viruses for novel therapeutic target

T cells modulate the microglial response to brain ischemia


Felix: Bloch wave method diffraction pattern simulation software

Deep learning in electron microscopy

Machine learning: science and technology

Structure refinement from 'digital' large angle convergent beam electron diffraction patterns.

Modelling fine-sliced three dimensional electron diffraction data with dynamical Bloch-wave simulations

A new electron diffraction approach for structure refinement applied to Ca3Mn2O7

Acta crystallographica. Section A, Foundations and advances


NOAA-GFDL's Sea Ice Simulator version 2

SPEAR: The Next Generation GFDL Modeling System for Seasonal to Multidecadal Prediction and Projection

Journal of advances in modeling earth systems


Quantum Refinement Module

Adaptive quantum mechanics/molecular mechanics methods

Wiley interdisciplinary reviews. Computational molecular science

A Density-Based Adaptive Quantum Mechanical/Molecular Mechanical Method

Chemphyschem : a European journal of chemical physics and physical chemistry

Q|R: quantum-based refinement.

Acta crystallographica. Section D, Structural biology

Toward more efficient density‐based adaptive QM/MM methods

International journal of quantum chemistry

Solving the scalability issue in quantum-based refinement: Q|R#1.

Yoink: An interaction‐based partitioning API

Including Crystallographic Symmetry in Quantum-based Refinement: Q|R#2


General Board Game Playing

General Board Game Playing for Education and Research in Generic AI Game Learning

Final Adaptation Reinforcement Learning for N-Player Games

AlphaZero-Inspired Game Learning: Faster Training by Using MCTS Only at Test Time

Towards Learning Rubik's Cube with N-tuple-based Reinforcement Learning


CRITERIA-3D is a three-dimensional water balance for small catchments.


Bayesian Atmospheric Radiative Transfer fitting code

petitRADTRANS. A Python radiative transfer package for exoplanet characterization and retrieval

TEA: A CODE CALCULATING THERMOCHEMICAL EQUILIBRIUM ABUNDANCES

The Implications of 3D Thermal Structure on 1D Atmospheric Retrieval

Identifying the ‘true’ radius of the hot sub-Neptune CoRoT-24b by mass-loss modelling

Monthly Notices of the Royal Astronomical Society: Letters

An Open-source Bayesian Atmospheric Radiative Transfer (BART) Code. I. Design, Tests, and Application to Exoplanet HD 189733b

An Open-source Bayesian Atmospheric Radiative Transfer (BART) Code. II. The Transit Radiative Transfer Module and Retrieval of HAT-P-11b

An Open-source Bayesian Atmospheric Radiative Transfer (BART) Code. III. Initialization, Atmospheric Profile Generator, Post-processing Routines

Characterizing Exoplanet Atmospheres: From Light-curve Observations to Radiative-Transfer Modeling

Observations, Thermochemical Calculations, and Modeling of Exoplanetary Atmospheres


Modeling of residential buildings in EnergyPlus using OpenStudio/HPXML.


Linear framework to combine tractography and tissue micro-structure estimation with diffusion MRI

Microstructure Informed Tractography: Pitfalls and Open Challenges

Resolving bundle-specific intra-axonal T2 values within a voxel using diffusion-relaxation tract-based estimation

Plis de passage in the superior temporal sulcus: Morphology and local connectivity

Fiber up-sampling and quality assessment of tractograms - towards quantitative brain connectivity

The human brain connectome weighted by the myelin content and total intra-axonal cross-sectional area of white matter tracts

Incorporating outlier information into diffusion-weighted MRI modeling for robust microstructural imaging and structural brain connectivity analyses


The PULP Ara is a 64-bit Vector Unit, compatible with the RISC-V Vector Extension Version 1.0, working as a coprocessor to CORE-V's CVA6 core

A ''New Ara'' for Vector Computing: An Open Source Highly Efficient
  RISC-V V 1.0 Vector Processor Design

Sparq: A Custom RISC-V Vector Processor for Efficient Sub-Byte Quantized Inference


GT4SD, an open-source library to accelerate hypothesis generation in the scientific discovery process.

Regression Transformer enables concurrent sequence regression and generation for molecular language modelling

Active Site Sequence Representations of Human Kinases Outperform Full Sequence Representations for Affinity Prediction and Inhibitor Generation: 3D Effects in a 1D Model

Journal of chemical information and modeling

Accelerating material design with the generative toolkit for scientific discovery

A Survey of Reasoning with Foundation Models

On the Choice of Active Site Sequences for Kinase-Ligand Affinity Prediction


My experimental tools on top of htslib. NOT OFFICIAL!!!

A Species-Wide Inventory of NLR Genes and Alleles in Arabidopsis thaliana

Grey wolf genomic history reveals a dual ancestry of dogs

Genome-scale sequencing and analysis of human, wolf, and bison DNA from 25,000-year-old sediment

A single introduction of wild rabbits triggered the biological invasion of Australia

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

Adventitious Virus Detection in Cells by High-Throughput Sequencing of Newly Synthesized RNAs: Unambiguous Differentiation of Cell Infection from Carryover of Viral Nucleic Acids

Archives of human-dog relationships: Genetic and stable isotope analysis of Arctic fur clothing

Yersinia pestis genomes reveal plague in Britain 4,000 years ago

Limited historical admixture between European wildcats and domestic cats


A multi-thread crawler framework with many builtin image crawlers provided.

Automated dataset generation for image recognition using the example of taxonomy

From Categories to Classifier: Name-Only Continual Learning by Exploring
  the Web


Python implementation of the NEAT neuroevolution algorithm

Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots

Intrinsically Motivated Discovery of Diverse Patterns in Self-Organizing Systems

Seeking quality diversity in evolutionary co-design of morphology and control of soft tensegrity modular robots

Proceedings of the Genetic and Evolutionary Computation Conference

GeneSys: Enabling Continuous Learning through Neural Network Evolution in Hardware

Class binarization to neuroevolution for multiclass classification

Evolving Neural Networks through a Reverse Encoding Tree

Systematic perturbation of an artificial neural network: A step towards quantifying causal contributions in the brain

Procedural content generation using neuroevolution and novelty search for diverse video game levels

A Signal-Centric Perspective on the Evolution of Symbolic Communication

CLAN: Continuous Learning using Asynchronous Neuroevolution on Commodity Edge Devices


Generalized and Efficient Blackbox Optimization System

OpenBox: A Generalized Black-box Optimization Service

Automated Hyperparameter Optimization Challenge at CIKM 2021 AnalyticCup

OpenBox: A Python Toolkit for Generalized Black-box Optimization


Knowledge Amalgamation Engine

Data-Free Adversarial Distillation

Amalgamating Knowledge towards Comprehensive Classification

Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More

Contrastive Model Inversion for Data-Free Knowledge Distillation

Up to 100× Faster Data-free Knowledge Distillation

Spot-Adaptive Knowledge Distillation

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

Deep Model Transferability from Attribution Maps

Progressive Network Grafting for Few-Shot Knowledge Distillation

Customizing Student Networks From Heterogeneous Teachers via Adaptive Knowledge Amalgamation

Mosaicking to Distill: Knowledge Distillation from Out-of-Domain Data


pix2tex: Using a ViT to convert images of equations into LaTeX code.

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

Image-to-Markup Generation with Coarse-to-Fine Attention

Nougat: Neural Optical Understanding for Academic Documents

GeoGalactica: A Scientific Large Language Model in Geoscience

TEIMMA: The First Content Reuse Annotator for Text, Images, and Math


TinyML AI inference library

DORY: Automatic End-to-End Deployment of Real-World DNNs on Low-Cost IoT MCUs

Machine Learning for Microcontroller-Class Hardware: A Review

TinyML Benchmark: Executing Fully Connected Neural Networks on Commodity Microcontrollers

Edge Impulse: An MLOps Platform for Tiny Machine Learning

Kafka-ML: connecting the data stream with ML/AI frameworks

An Optimized Recurrent Unit for Ultra-Low-Power Keyword Spotting

TinyOdom: Hardware-Aware Efficient Neural Inertial Navigation

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

Timing Black-Box Attacks: Crafting Adversarial Examples through Timing Leaks against DNNs on Embedded Devices

IACR transactions on cryptographic hardware and embedded systems


Descartes supports developers to improve their test suites by reporting weak spots in covered code

A comprehensive study of pseudo-tested methods

Descartes: A PITest Engine to Detect Pseudo-Tested Methods - Tool
  Demonstration

PROCEEDINGS OF THE 2018 33RD IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMTED SOFTWARE ENGINEERING (ASE' 18)

Production Monitoring to Improve Test Suites

Extreme mutation testing in practice: An industrial case study

International Conference/Workshop on Automation of Software Test


pyrpl turns your RedPitaya into a powerful DSP device, especially suitable as a lockbox in quantum optics experiments.

Measurement-based quantum control of mechanical motion

Digital laser frequency and intensity stabilization based on the STEMlab platform (originally Red Pitaya)

Cavity-enhanced sum-frequency generation of blue light with near-unity conversion efficiency

Micromotion minimization using Ramsey interferometry

FPGA-based feedback control of quantum optics experiments with the open source software package PyRPL


Julia package to run Dynamic Power System simulations. Part of the Scalable Integrated Infrastructure Planning Initiative at the National Renewable Energy Lab.

PowerDynamics.jl—An experimentally validated open-source package for the dynamical analysis of power grids

Revisiting Power Systems Time-domain Simulation Methods and Models

PowerSimulationsDynamics.jl -- An Open Source Modeling Package for
  Modern Power Systems with Inverter-Based Resources