papaja (Preparing APA Journal Articles) is an R package that provides document formats to produce complete APA manuscripts from RMarkdown-files (PDF and Word documents) and helper functions that facilitate reporting statistics, tables, and plots.

How to capitalize on a priori contrasts in linear (mixed) models: A tutorial

An Excess of Positive Results: Comparing the Standard Psychology Literature With Registered Reports

Advances in methods and practices in psychological science

Data availability, reusability, and analytic reproducibility: evaluating the impact of a mandatory open data policy at the journal Cognition

Survival and Stationary Distribution Analysis of a Stochastic Competitive Model of Three Species in a Polluted Environment

Toward a Neurobiologically Plausible Model of Language-Related, Negative Event-Related Potentials

Personality Associations With Smartphone and Internet Use Disorder: A Comparison Study Including Links to Impulsivity and Social Anxiety

What was the impact of COVID-19 on Adolescent and Young Adult cancer care and their wellbeing? Results from a cross-sectional online survey conducted in the early stages of the pandemic

Dark and bright patterns in cookie consent requests

Early language experience in a Papuan community

On the Statistical and Practical Limitations of Thurstonian IRT Models

Educational and psychological measurement


MCMC sample analysis, kernel densities, plotting, and GUI

A NICER View of PSR J0030+0451: Millisecond Pulsar Parameter Estimation

A NICER View of the Massive Pulsar PSR J0740+6620 Informed by Radio Timing and XMM-Newton Spectroscopy

GetDist: a Python package for analysing Monte Carlo samples

Modelling and interpreting spectral energy distributions of galaxies with BEAGLE

Monthly notices of the Royal Astronomical Society

Cluster Cosmology Constraints from the 2500 deg^2 SPT-SZ Survey: Inclusion of Weak Gravitational Lensing Data from Magellan and the Hubble Space Telescope

Cobaya: code for Bayesian analysis of hierarchical physical models

Journal of Cosmology and Astroparticle Physics

Early dark energy does not restore cosmological concordance

Probing the interaction between dark matter and dark energy in the presence of massive neutrinos

Echo of interactions in the dark sector

Constraining early dark energy with large-scale structure


Ultra-fast methylation calling and event alignment tool for nanopore sequencing data (supports CUDA acceleration)

Opportunities and challenges in long-read sequencing data analysis

GPU accelerated adaptive banded event alignment for rapid comparative nanopore signal analysis

Fast nanopore sequencing data analysis with SLOW5

Computer Architecture-Aware Optimisation of DNA Analysis Systems


TFHE: Fast Fully Homomorphic Encryption Library over the Torus

A Survey on Homomorphic Encryption Schemes: Theory and Implementation

Fast Homomorphic Evaluation of Deep Discretized Neural Networks

Zenodo (CERN European Organization for Nuclear Research)

Fully Homomorphic Encryption Encapsulated Difference Expansion for Reversible Data Hiding in Encrypted Domain

Privacy-preserving semi-parallel logistic regression training with fully homomorphic encryption

Efficient Privacy-Preserving Fingerprint-Based Authentication System Using Fully Homomorphic Encryption

Data Privacy in Trigger-Action Systems

SoK: Fully Homomorphic Encryption Accelerators

An Approach for Securing Cloud-Based Wide Area Monitoring of Smart Grid Systems


Code for modelling estimated deaths and cases for COVID19.

Estimating the number of infections and the impact of non-pharmaceutical interventions on COVID-19 in European countries: technical description update

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

A quantitative compendium of COVID-19 epidemiology

Open Data Resources for Fighting COVID-19

When we can trust computers (and when we can't)

Philosophical transactions. Series A, Mathematical, physical, and engineering sciences

CODECHECK: an Open Science initiative for the independent execution of computations underlying research articles during peer review to improve reproducibility

The impact of a COVID-19 lockdown on work productivity under good and poor compliance

Modelling the Evolution of COVID-19 in High-Incidence European Countries and Regions: Estimated Number of Infections and Impact of Past and Future Intervention Measures

An Exploratory Characterization of Bugs in COVID-19 Software Projects

Software Engineering Standards for Epidemiological Modeling


A Python interface to the 6S Radiative Transfer Model


Application Layer DoS attack simulator

SDN-Assisted Network-Based Mitigation of Slow DDoS Attacks

Two-Stage Intelligent Model for Detecting Malicious DDoS Behavior

Generator of Slow Denial-of-Service Cyber Attacks

Trusted Multi-Domain DDoS Detection Based on Federated Learning

Using a Neural Network to Detect Anomalies given an N-gram Profile


Reference implementations of popular deep learning models.

Deep Residual Learning for Image Recognition

Xception: Deep Learning with Depthwise Separable Convolutions

Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

Deep learning-based algorithm for lung cancer detection on chest radiographs using the segmentation method

Generalization bounds for deep learning

ERA: A Data Set and Deep Learning Benchmark for Event Recognition in Aerial Videos [Software and Data Sets]

IEEE geoscience and remote sensing magazine

Toward Deep Learning Based Access Control

Proceedings of the Twelfth ACM Conference on Data and Application Security and Privacy

Impact of Thermal Throttling on Long-Term Visual Inference in a CPU-based Edge Device

Improving Neural Network Training in Low Dimensional Random Bases


Metrics for verifying forecasts

FuXi: a cascade machine learning forecasting system for 15-day global weather forecast


On the Variance of the Adaptive Learning Rate and Beyond

Match What Matters: Generative Implicit Feature Replay for Continual Learning.

Generative Feature-driven Image Replay for Continual Learning


视觉预训练基础模型仓库

Context Autoencoder for Self-Supervised Representation Learning

StrucTexT: Structured Text Understanding with Multi-Modal Transformers

StrucTexTv2: Masked Visual-Textual Prediction for Document Image
  Pre-training

UFO: Unified Feature Optimization

Towards the Unification of Generative and Discriminative Visual
  Foundation Model: A Survey


中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)

Efficient and Effective Text Encoding for Chinese LLaMA and Alpaca

The CALLA Dataset: Probing LLMs' Interactive Knowledge Acquisition from
  Chinese Medical Literature

Chinese Fine-Grained Financial Sentiment Analysis with Large Language
  Models

Adapting Large Language Models for Content Moderation: Pitfalls in Data
  Engineering and Supervised Fine-tuning


bioBakery tools for meta'omic profiling

Bioinformatic approaches for studying the microbiome of fermented food

Antibiotic-Induced Primary Biles Inhibit SARS-CoV-2 Endoribonuclease Nsp15 Activity in Mouse Gut

Frontiers in cellular and infection microbiology

Plasma metagenomics reveals regional variations of emerging and re-emerging pathogens in Chinese blood donors with an emphasis on human parvovirus B19

Studying the Association between Antibiotic Resistance Genes and Insertion Sequences in Metagenomes: Challenges and Pitfalls


Python Keyphrase Extraction module

Unsupervised Keyphrase Extraction with Multipartite Graphs

Simple Unsupervised Keyphrase Extraction using Sentence Embeddings

pke: an open source python-based keyphrase extraction toolkit

International Conference on Computational Linguistics

KPTimes: A Large-Scale Dataset for Keyphrase Generation on News Documents

AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions

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

TNT-KID: Transformer-based neural tagger for keyword identification

MDERank: A Masked Document Embedding Rank Approach for Unsupervised Keyphrase Extraction

KeyGames: A Game Theoretic Approach to Automatic Keyphrase Extraction

Keyphrase Generation: A Multi-Aspect Survey

PROCEEDINGS OF THE 2019 25TH CONFERENCE OF OPEN INNOVATIONS ASSOCIATION (FRUCT)

ArchivalQA: A Large-scale Benchmark Dataset for Open Domain Question
  Answering over Historical News Collections


Plotting and analysis tools for ARTIS simulations

Double detonations: variations in Type Ia supernovae due to different
  core and He shell masses -- II: synthetic observables

3D radiative transfer kilonova modelling for binary neutron star merger simulations

Modelling the ionization state of Type Ia supernovae in the nebular phase

Helium as a signature of the double detonation in Type Ia supernovae

Self-consistent 3D Radiative Transfer for Kilonovae: Directional Spectra from Merger Simulations


ImageD11 is a python code for identifying individual grains in spotty area detector X-ray diffraction images.

Scanning 3DXRD Measurement of Grain Growth, Stress, and Formation of Cu6Sn5 around a Tin Whisker during Heat Treatment

Intragranular strain estimation in far-field scanning X-ray diffraction using a Gaussian process

In situ synchrotron X-ray multimodal experiment to study polycrystal plasticity

Non-destructive determination of phase, size, and strain of individual grains in polycrystalline photovoltaic materials

CNN-Based Laue Spot Morphology Predictor for Reliable Crystallographic Descriptor Estimation

Textures Induced by the Coesite‐Stishovite Transition and Implications for the Visibility of the X‐Discontinuity

Implementing and evaluating far-field 3D X-ray diffraction at the I12 JEEP beamline, Diamond Light Source

Per-grain and neighbourhood stress interactions during deformation of a
  ferritic steel obtained using three-dimensional X-ray diffraction

In situ analysis of cast irons mechanical behaviour using synchrotron x-ray tomography and 3DXRD

IOP conference series. Materials science and engineering


Open neural machine translation models and web services

OPUS-MT – Building open translation services for the World

European Association for Machine Translation Conferences/Workshops

XL-WiC: A Multilingual Benchmark for Evaluating Semantic Contextualization

XL-WSD: An Extra-Large and Cross-Lingual Evaluation Framework for Word Sense Disambiguation

Majority Voting with Bidirectional Pre-translation For Bitext Retrieval

Democratizing Neural Machine Translation with OPUS-MT

The FISKMÖ Project: Resources and Tools for Finnish-Swedish Machine Translation and Cross-Linguistic Research

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

Lingua Custodia's participation at the WMT 2021 Machine Translation
  using Terminologies shared task

adaptNMT: an open-source, language-agnostic development environment for neural machine translation

Sentiment-based Candidate Selection for NMT


The code of the Open Source Spatial Electrification Tool (OnSSET)


SSW Library: An SIMD Smith-Waterman C/C++ Library for Use in Genomic Applications

Crowdsourced mapping of unexplored target space of kinase inhibitors

Tangram: a comprehensive toolbox for mobile element insertion detection

Comparative evolutionary analysis and prediction of deleterious mutation patterns between sorghum and maize


An Image is Worth One Word: Personalizing Text-to-Image Generation using
  Textual Inversion

A taxonomy of prompt modifiers for text-to-image generation

A Prompt Log Analysis of Text-to-Image Generation Systems

Prompting AI Art: An Investigation into the Creative Skill of Prompt
  Engineering

Generative Disco: Text-to-Video Generation for Music Visualization

Pathway to Future Symbiotic Creativity


A Julia library implementing SU(N) spin dynamics for modeling magnetism

Geometric integration of classical spin dynamics via a mean-field Schrödinger equation

Langevin dynamics of generalized spins as SU(N) coherent states

Bond-dependent anisotropy and magnon decay in cobalt-based Kitaev triangular antiferromagnet

Field-induced partial disorder in a Shastry-Sutherland lattice

Renormalized Classical Theory of Quantum Magnets

A high-performance implementation of atomistic spin dynamics simulations on x86 CPUs

Spin wave Hamiltonian and anomalous scattering in NiPS_3

Quantum to classical crossover in generalized spin systems – the
  temperature-dependent spin dynamics of FeI_2


The implementation of DeBERTa

DeBERTa: Decoding-enhanced BERT with Disentangled Attention

DeBERTaV3: Improving DeBERTa using ELECTRA-Style Pre-Training with
  Gradient-Disentangled Embedding Sharing

Performance-Efficiency Trade-offs in Unsupervised Pre-training for
  Speech Recognition

Z-Code++: A Pre-trained Language Model Optimized for Abstractive
  Summarization

ConnPrompt: Connective-cloze Prompt Learning for Implicit Discourse Relation Recognition

LoSparse: Structured Compression of Large Language Models based on
  Low-Rank and Sparse Approximation

Deep Lexical Hypothesis: Identifying personality structure in natural language

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

Bringing order into the realm of Transformer-based language models for artificial intelligence and law

SocioProbe: What, When, and Where Language Models Learn about Sociodemographics


Patch's Javascript client library - https://www.patch.io


AMD SEV Tool

Separation of Powers in Federated Learning (Poster Paper)

Proceedings of the First Workshop on Systems Challenges in Reliable and Secure Federated Learning

Trusted Container Extensions for Container-based Confidential Computing


Multi-Generator (MGEN) traffic generation tool

TNT: A Tactical Network Test platform to evaluate military systems over ever-changing scenarios

Elastic Provisioning of Network and Computing Resources at the Edge for IoT Services


PASTA (Practical Alignment using SATe and Transitivity)

Evolution of rapid blue‐light response linked to explosive diversification of ferns in angiosperm forests

Deconvolving mutational patterns of poliovirus outbreaks reveals its intrinsic fitness landscape

Rooted tRNAomes and evolution of the genetic code

PASTA for proteins

UPP2: fast and accurate alignment of datasets with fragmentary sequences

HMMerge: an ensemble method for multiple sequence alignment


Small language toolkit for creation, interpolation and pruning of ARPA language models

TED-LIUM 3: twice as much data and corpus repartition for experiments on speaker adaptation

Multistream CNN for Robust Acoustic Modeling

Arabic Speech Recognition by End-to-End, Modular Systems and Human

ASAPP-ASR: Multistream CNN and Self-Attentive SRU for SOTA Speech Recognition

An enhanced automatic speech recognition system for Arabic

Proceedings of the Third Arabic Natural Language Processing Workshop

Word Error Rate Estimation Without ASR Output: e-WER2

Scribosermo: Fast Speech-to-Text models for German and other Languages

"This is Houston. Say again, please". The Behavox system for the Apollo-11 Fearless Steps Challenge (phase II)


The HOL Light theorem prover

Formalization of Transform Methods using HOL Light

Formalization of Lerch's Theorem using HOL Light

Formal Analysis of Robotic Cell Injection Systems using Theorem Proving

A formal proof of modal completeness for provability logic

Formalising Mathematics In Simple Type Theory

HOL Light QE

Distant decimals of π

Small, Fast, Concurrent Proof Checking for the lambda-Pi Calculus Modulo Rewriting

The Space of Mathematical Software Systems -- A Survey of Paradigmatic
  Systems

Formal Modeling of Robotic Cell Injection Systems in Higher-order Logic


Annotates variants in MAF with OncoKB annotation.

Trastuzumab deruxtecan in metastatic breast cancer with variable HER2 expression: the phase 2 DAISY trial

Interpretable deep learning of label-free live cell images uncovers functional hallmarks of highly-metastatic melanoma

SMAD4 is critical in suppression of BRAF-V600E serrated tumorigenesis

High Concordance of Genomic Profiles between Primary and Metastatic Colorectal Cancer

International journal of molecular sciences

Respiratory complex and tissue lineage drive mutational patterns in the tumor mitochondrial genome

Mutational landscape and potential therapeutic targets for sporadic pancreatic neuroendocrine tumors based on target next-generation sequencing

Genomic characterization of intracranial teratomas using whole genome sequencing


A collection of tutorials for Snorkel

WRENCH: A Comprehensive Benchmark for Weak Supervision

Learning from Rules Generalizing Labeled Exemplars

Slice-based Learning: A Programming Model for Residual Learning in Critical Data Slices

End-to-End Weak Supervision

Active WeaSuL: Improving Weak Supervision with Active Learning


KaHyPar (Karlsruhe Hypergraph Partitioning) is a multilevel hypergraph partitioning framework providing direct k-way and recursive bisection based partitioning algorithms that compute solutions of very high quality.

High-Quality Hypergraph Partitioning

Improving Coarsening Schemes for Hypergraph Partitioning by Exploiting Community Structure

Network Flow-Based Refinement for Multilevel Hypergraph Partitioning

Memetic Multilevel Hypergraph Partitioning

Advanced Flow-Based Multilevel Hypergraph Partitioning

Multilevel Acyclic Hypergraph Partitioning

Multilevel Hypergraph Partitioning with Vertex Weights Revisited

K-SpecPart: Supervised Embedding Algorithms and Cut Overlay for Improved Hypergraph Partitioning


HYDrologic Remote sensing Analysis for Floods Python package


A system for scientific simulation-based inference at scale.

Fast and credible likelihood-free cosmology with truncated marginal neural ratio estimation

Truncated Marginal Neural Ratio Estimation

Simulation-efficient marginal posterior estimation with swyft: stop
  wasting your precious time

Estimating the warm dark matter mass from strong lensing images with truncated marginal neural ratio estimation

Detection is truncation: studying source populations with truncated
  marginal neural ratio estimation

Constraining the X-ray heating and reionization using 21-cm power spectra with Marginal Neural Ratio Estimation

Bayesian model comparison for simulation-based inference

One never walks alone: the effect of the perturber population on subhalo
  measurements in strong gravitational lenses

Scalable inference with Autoregressive Neural Ratio Estimation

Towards reconstructing the halo clustering and halo mass function of
  N-body simulations using neural ratio estimation


VVdeC, the Fraunhofer Versatile Video Decoder

Versatile Video Coding Standard: A Review From Coding Tools to Consumers Deployment

A Complete End-To-End Open Source Toolchain for the Versatile Video Coding (VVC) Standard

Optimized Decoding-Energy-Aware Encoding In Practical VVC Implementations

Performance analysis of optimized versatile video coding software decoders on embedded platforms

The Bjøntegaard Bible Why your Way of Comparing Video Codecs May Be Wrong

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

Advanced Design Space Exploration for Joint Energy and Quality optimization for VVC


:crown: Multivariate exploratory data analysis in Python — PCA, CA, MCA, MFA, FAMD, GPA

A Tutorial on Principal Component Analysis

Quantum Advantage Seeker with Kernels (QuASK): a software framework to speed up the research in quantum machine learning

Compressing and Comparing the Generative Spaces of Procedural Content Generators

NEXAS: A Visual Tool for Navigating and Exploring Argumentation Solution Spaces

Frontiers in artificial intelligence and applications

Qluster: An Easy-to-Implement Generic Workflow for Robust Clustering of Health Data


A curated list of articles that cover the software engineering best practices for building machine learning applications.

Closing the AI Accountability Gap: Defining an End-to-End Framework for Internal Algorithmic Auditing

Apples-to-apples in cross-validation studies: pitfalls in classifier performance measurement

TFX: A TensorFlow-Based Production-Scale Machine Learning Platform

Adoption and Effects of Software Engineering Best Practices in Machine Learning

Versioning for End-to-End Machine Learning Pipelines

International Conference on Management of Data

Practices for Engineering Trustworthy Machine Learning Applications

The AIQ Meta-Testbed: Pragmatically Bridging Academic AI Testing and Industrial Q Needs


Merlion: A Machine Learning Framework for Time Series Intelligence

Merlion: A Machine Learning Library for Time Series

Deep Contrastive One-Class Time Series Anomaly Detection


A Japanese NLP Library using spaCy as framework based on Universal Dependencies

Phrase break prediction with bidirectional encoder representations in Japanese text-to-speech synthesis

Transformer-based Lexically Constrained Headline Generation

KWJA: A Unified Japanese Analyzer Based on Foundation Models

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)

JCSE: Contrastive Learning of Japanese Sentence Embeddings and Its
  Applications


Survival Analysis and Visualization

Integrative Tumor and Immune Cell Multi-omic Analyses Predict Response to Immune Checkpoint Blockade in Melanoma

Human Endogenous Retrovirus Expression Is Associated with Head and Neck Cancer and Differential Survival

DNA methylation derived systemic inflammation indices are associated with head and neck cancer development and survival.

Spatial transcriptomics reveals distinct and conserved tumor core and edge architectures that predict survival and targeted therapy response

PET/CT Imaging of Activated Cancer-Associated Fibroblasts Predict Response to PD-1 Blockade in Gastric Cancer Patients

Impact TMPRSS2–ERG Molecular Subtype on Prostate Cancer Recurrence

Whole-genome sequencing of extrachromosomal circular DNA of cerebrospinal fluid of medulloblastoma

Signatures of somatic mutations and gene expression from p16INK4A positive head and neck squamous cell carcinomas (HNSCC)

DNA barcoding reveals ongoing immunoediting of clonal cancer populations during metastatic progression and immunotherapy response

Multidimensional Mutational Profiling of the Indian HNSCC Sub-Population Provides IRAK1, a Novel Driver Gene and Potential Druggable Target


InterpretDL: Interpretation of Deep Learning Models，基于『飞桨』的模型可解释性算法库。

On Pixel-Wise Explanations for Non-Linear Classifier Decisions by Layer-Wise Relevance Propagation

Interpretable deep learning: interpretation, interpretability, trustworthiness, and beyond

From distributed machine learning to federated learning: a survey


Caffe for Sparse Convolutional Neural Network

Faster CNNs with Direct Sparse Convolutions and Guided Pruning

Enabling Sparse Winograd Convolution by Native Pruning

Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs

Compression of Deep Convolutional Neural Networks under Joint Sparsity Constraints


A Machine Learning System for Data Enrichment.

Kamino: Constraint-Aware Differentially Private Data Synthesis

Towards Interpretable and Learnable Risk Analysis for Entity Resolution

RTClean: Context-aware Tabular Data Cleaning using Real-time OFDs

Consistent data fusion with Parker

KGLiDS: A Platform for Semantic Abstraction, Linking, and Automation of Data Science


Climate from Space application for ESA's CCI+ program.


Gravitational-wave Electromagnetic Lightcurves

A kilonova as the electromagnetic counterpart to a gravitational-wave source

Constraints on the neutron star equation of state from AT2017gfo using radiative transfer simulations

Monthly notices of the Royal Astronomical Society

A luminosity distribution for kilonovae based on short gamma-ray burst afterglows

Implications of the search for optical counterparts during the second part of the Advanced LIGO's and Advanced Virgo's third observing run: lessons learned for future follow-up observations

Monthly Notices of the Royal Astronomical Society

Toward Rapid Transient Identification and Characterization of Kilonovae

Measuring the Hubble constant with a sample of kilonovae

Predicting electromagnetic counterparts using low-latency gravitational-wave data products


Run the PACTA analysis on EQ & CB portfolios


COSP - The CFMIP (Cloud Feedbacks Model Intercomparison Project) Observation Simulator Package

The Cloud Feedback Model Intercomparison Project Observational Simulator Package: Version 2

Impacts of Precipitation Modeling on Cloud Feedback in MIROC6

The Cloud_cci simulator for the ESA Cloud_cci climate data record
and its application to a global and a regional climate model


Julia package to compute trap-assisted electron and hole capture in semiconductors

Upper limit to the photovoltaic efficiency of imperfect crystals from first principles

Importance of surface oxygen vacancies for ultrafast hot carrier
  relaxation and transport in Cu_2O


Characterizing Mutational Signatures in Human Cancer Cell Lines Reveals Episodic APOBEC Mutagenesis

Novel modes of RNA editing in mitochondria

Regulation of S100A8 Stability by RNF5 in Intestinal Epithelial Cells Determines Intestinal Inflammation and Severity of Colitis

Non-coding RNA Expression, Function, and Variation during Drosophila Embryogenesis

Src promotes castration-recurrent prostate cancer through androgen receptor-dependent canonical and non-canonical transcriptional signatures

Low expression of long noncoding RNA CDKN2B-AS1 in patients with idiopathic pulmonary fibrosis predicts lung cancer by regulating the p53-signaling pathway

Improving drug discovery using image-based multiparametric analysis of the epigenetic landscape

Comparative population genomics dissects the genetic basis of seven domestication traits in jujube

A Network of microRNAs Acts to Promote Cell Cycle Exit and Differentiation of Human Pancreatic Endocrine Cells

Long Noncoding RNA MIR4435-2HG Suppresses Colorectal Cancer Initiation and Progression By Reprogramming Neutrophils


Span-based system for named entity, relation, and event extraction.

Entity, Relation, and Event Extraction with Contextualized Span Representations

A Joint Neural Model for Information Extraction with Global Features

Meeting of the Association for Computational Linguistics

DEGREE: A Data-Efficient Generation-Based Event Extraction Model

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

Evaluating progress in automatic chest X-ray radiology report generation

Gradual Fine-Tuning for Low-Resource Domain Adaptation

Extracting a Knowledge Base of Mechanisms from COVID-19 Papers

DEGREE: A Data-Efficient Generative Event Extraction Model

Language Model Priming for Cross-Lingual Event Extraction

HySPA: Hybrid Span Generation for Scalable Text-to-Graph Extraction


Creative Commons Attribution 4.0 International

Global Forest Carbon Database


Ontology for consent codes and data use requirements

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

International data governance for neuroscience

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

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

Consent Receipts for a Usable and Auditable Web of Personal Data

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

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

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

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

CanDIG: Secure Federated Genomic Queries and Analyses Across Jurisdictions


SimMobility production repository

An integrated microsimulation approach to land-use and mobility modeling

Assignment of a Synthetic Population for Activity-Based Modeling Employing Publicly Available Data

ISPRS international journal of geo-information


EDGE is a highly adaptable bioinformatics platform that allows laboratories to quickly analyze and interpret genomic sequence data.

Enabling the democratization of the genomics revolution with a fully integrated web-based bioinformatics platform

EDGE COVID-19: a web platform to generate submission-ready genomes from SARS-CoV-2 sequencing efforts

EDGE COVID-19: A Web Platform to generate submission-ready genomes for SARS-CoV-2 sequencing efforts


This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform.

A Long Short-Term Memory for AI Applications in Spike-based Neuromorphic Hardware

NxTF: An API and Compiler for Deep Spiking Neural Networks on Intel Loihi

Braille Letter Reading: A Benchmark for Spatio-Temporal Pattern
  Recognition on Neuromorphic Hardware

Static Hand Gesture Recognition for American Sign Language using
  Neuromorphic Hardware


Modern spell checking library - accurate, fast, multi-language

Automated Essay Scoring based on Two-Stage Learning

Learning to combine Grammatical Error Corrections

Neural and FST-based approaches to grammatical error correction

Workshop on Innovative Use of NLP for Building Educational Applications


A Python package to facilitate ocean model data analysis and visualization.

OceanSpy: A Python package to facilitate ocean model data analysis and visualization


An Efficient RML-Compliant Engine for Knowledge Graph Construction

SDM-RDFizer: An RML Interpreter for the Efficient Creation of RDF Knowledge Graphs

International Conference on Information and Knowledge Management

Declarative RDF graph generation from heterogeneous (semi-)structured data: A systematic literature review

R2RML and RML Comparison for RDF Generation, their Rules Validation and Inconsistency Resolution

FakeKG: A Knowledge Graph of Fake Claims for Improving Automated Fact-Checking (Student Abstract)

Proceedings of the AAAI Conference on Artificial Intelligence


Set of tests for fuzzing engines

Magma: A Ground-Truth Fuzzing Benchmark

Proceedings of the ACM on measurement and analysis of computing systems

Full-speed Fuzzing: Reducing Fuzzing Overhead through Coverage-guided Tracing

FuzzFactory: domain-specific fuzzing with waypoints

Proceedings of the ACM on programming languages

FuzzerGym: A Competitive Framework for Fuzzing and Learning

A Feature-Oriented Corpus for Understanding, Evaluating and Improving Fuzz Testing

MC2

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

Exposing Bugs in JavaScript Engines through Test Transplantation and Differential Testing

MaxAFL: Maximizing Code Coverage with a Gradient-Based Optimization Technique

Mutation Analysis: Answering the Fuzzing Challenge

A Case Study on Automated Fuzz Target Generation for Large Codebases


pure-Julia multidimensional h-adaptive integration

Constraining the Polarization of Gravitational Waves with the Parkes Pulsar Timing Array Second Data Release

Green Tensor Analysis of Lattice Resonances in Periodic Arrays of Nanoparticles

Multi-collinear splitting kernels for track function evolution

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

Fluid dynamics of charm quarks in the quark-gluon plasma

Lattice Green's Functions for High Order Finite Difference Stencils

A Duet of Freeze-in and Freeze-out: Lepton-Flavored Dark Matter and Muon
  Colliders


Generally Applicable Atomic-Charge Dependent London Dispersion Correction

Assessing Conformer Energies using Electronic Structure and Machine Learning Methods

International journal of quantum chemistry

High‐throughput screening of spin states for transition metal complexes with spin‐polarized extended tight‐binding methods

libMBD: A general-purpose package for scalable quantum many-body
  dispersion calculations


Pretrained language model and its related optimization techniques developed by Huawei Noah's Ark Lab.

TinyBERT: Distilling BERT for Natural Language Understanding

DynaBERT: Dynamic BERT with Adaptive Width and Depth

TernaryBERT: Distillation-aware Ultra-low Bit BERT

BinaryBERT: Pushing the Limit of BERT Quantization

Structured Pruning Learns Compact and Accurate Models

LadaBERT: Lightweight Adaptation of BERT through Hybrid Model Compression

BiBERT: Accurate Fully Binarized BERT

MixKD: Towards Efficient Distillation of Large-scale Language Models

FlipDA: Effective and Robust Data Augmentation for Few-Shot Learning

GPT-based Generation for Classical Chinese Poetry


A C++ Algorithmic Differentiation Package: Home Page

Global optimization of mixed-integer nonlinear programs with SCIP 8

Ungar x2013 A C++ Framework for Real-Time Optimal Control
  Using Template Metaprogramming

The SCIP Optimization Suite 8.0


Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

Software for Dataset-wide XAI: From Local Explanations to Global
  Insights with Zennit, CoRelAy, and ViRelAy

Explainable AI for Bioinformatics: Methods, Tools, and Applications


Get protein embeddings from protein sequences

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

LambdaPP: Fast and accessible protein-specific phenotype predictions

PortPred: exploiting deep learning embeddings of amino acid sequences for the identification of transporter proteins and their substrates


IPv6 attack toolkit

ICMPv6-Based DoS and DDoS Attacks Detection Using Machine Learning Techniques, Open Challenges, and Blockchain Applicability: A Review

An SDN-Based Approach to Ward Off LAN Attacks

Journal of computer networks and communications

Labelled Dataset on Distributed Denial-of-Service (DDoS) Attacks Based on Internet Control Message Protocol Version 6 (ICMPv6)

Wireless communications and mobile computing


The DESPOT online POMDP solver

DESPOT: Online POMDP Planning with Regularization

An On-Line POMDP Solver for Continuous Observation Spaces

Partially Observable Markov Decision Processes (POMDPs) and Robotics.

CAR-DESPOT: Causally-Informed Online POMDP Planning for Robots in Confounded Environments

Strategy Synthesis in POMDPs via Game-Based Abstractions


The Unusual Initial Mass Function of the Arches Cluster

Powerful winds in high-redshift obscured and red quasars

Characterizing and Improving the Data Reduction Pipeline for the Keck OSIRIS Integral Field Spectrograph

The OSIRIS Lens-amplified Survey (OLAS). I. Dynamical Effects of Stellar Feedback in Low-mass Galaxies at z ∼ 2

Multiphase Outflows in High-redshift Quasar Host Galaxies

Imaging Spectroscopy of Ionized Gaseous Nebulae around Optically Faint AGNs at Redshift z ∼ 2

A Slowly Precessing Disk in the Nucleus of M31 as the Feeding Mechanism for a Central Starburst

Multi-resolution angular momentum measurements of z ∼ 1.5 − 2 star-forming galaxies


The new intelligent grounder of the logic-based Artificial Intelligence system DLV

Optimizing Answer Set Computation via Heuristic-Based Decomposition

Theory and practice of logic programming

Efficiently Coupling the I-DLV Grounder with ASP Solvers

Incremental maintenance of overgrounded logic programs with tailored simplifications

Enhancing magic sets with an application to ontological reasoning

DaRLing: A Datalog rewriter for OWL 2 RL ontological reasoning under SPARQL queries


A machine learning benchmark of in-the-wild distribution shifts, with data loaders, evaluators, and default models.

WILDS: A Benchmark of in-the-Wild Distribution Shifts

Model-Based Domain Generalization

Mandoline: Model Evaluation under Distribution Shift

Focus on the Common Good: Group Distributional Robustness Follows

The Impact of Differential Privacy on Group Disparity Mitigation

Empirical Study on Optimizer Selection for Out-of-Distribution
  Generalization

Towards Federated Foundation Models: Scalable Dataset Pipelines for
  Group-Structured Learning

Statistical Learning under Heterogeneous Distribution Shift

Decoupled Training: Return of Frustratingly Easy Multi-Domain Learning

Distribution-Free Statistical Dispersion Control for Societal
  Applications


[CVPR 2023] Towards Any Structural Pruning; LLMs / SAM /  Diffusion / Transformers / YOLOv8 / CNNs

Pruning Filters for Efficient ConvNets

Learning Efficient Convolutional Networks through Network Slimming

DepGraph: Towards Any Structural Pruning

Why is the State of Neural Network Pruning so Confusing? On the
  Fairness, Comparison Setup, and Trainability in Network Pruning

Less is More: Selective Layer Finetuning with SubTuning

Towards Hardware-Specific Automatic Compression of Neural Networks


Reinforcement learning algorithms for robot control tasks

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

Addressing Function Approximation Error in Actor-Critic Methods

Soft Actor-Critic Algorithms and Applications

Leveraging Demonstrations for Deep Reinforcement Learning on Robotics Problems with Sparse Rewards


ThinkHazard!


The goal of this toolbox is to provide open-source research-level and prototyping software tools for hyperpolarized MRI experiments. It is currently based on MATLAB/Octave code, and includes code for designing radiofrequency (RF) pulses, imaging gradients, data reconstruction, and data analysis. doi: 10.5281/zenodo.1198915

Hyperpolarized Metabolic MRI—Acquisition, Reconstruction, and Analysis Methods

Initial Experience on Hyperpolarized [1-13C]Pyruvate MRI Multicenter Reproducibility—Are Multicenter Trials Feasible?

Measuring the Metabolic Evolution of Glioblastoma throughout Tumor Development, Regression, and Recurrence with Hyperpolarized Magnetic Resonance

Hyperpolarized [2–13C]pyruvate MR molecular imaging with whole brain coverage

Metabolite-Specific Echo Planar Imaging for Preclinical Studies with Hyperpolarized 13C-Pyruvate MRI

Current Methods for Hyperpolarized [1-13C]pyruvate MRI Human Studies


A rectangular pixel map manipulation and harmonic analysis library derived from Sigurd Naess' enlib.

The Atacama Cosmology Telescope: DR4 maps and cosmological parameters

Journal of Cosmology and Astroparticle Physics

The Atacama Cosmology Telescope: a measurement of the Cosmic Microwave Background power spectra at 98 and 150 GHz

The Atacama Cosmology Telescope: A Catalog of >4000 Sunyaev–Zel’dovich Galaxy Clusters

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

Atacama Cosmology Telescope: Combined kinematic and thermal Sunyaev-Zel'dovich measurements from BOSS CMASS and LOWZ halos

Atacama Cosmology Telescope: Component-separated maps of CMB temperature and the thermal Sunyaev-Zel'dovich effect

The Atacama Cosmology Telescope: arcminute-resolution maps of 18,000 square degrees of the microwave sky from ACT 2008-2018 data combined with Planck

The Websky extragalactic CMB simulations

Journal of cosmology and astroparticle physics

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

Strong detection of the CMB lensingxgalaxy weak lensingcross-correlation
  from ACT-DR4,PlanckLegacy and KiDS-1000

The Atacama Cosmology Telescope: Detection of the pairwise kinematic Sunyaev-Zel’dovich effect with SDSS DR15 galaxies


[WSDM'2024 Oral] "SSLRec: A Self-Supervised Learning Framework for Recommendation"

Self-supervised Graph Learning for Recommendation

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

Automated Self-Supervised Learning for Recommendation

End-to-end Learnable Clustering for Intent Learning in Recommendation


Natural Language Processing Pipeline - Sentence Splitting, Tokenization, Lemmatization, Part-of-speech Tagging and Dependency Parsing

NLP-Cube: End-to-End Raw Text Processing With Neural Networks

Citizen Participation and Machine Learning for a Better Democracy

The Second Cross-Lingual Challenge on Recognition, Normalization, Classification, and Linking of Named Entities across Slavic Languages

Meeting of the Association for Computational Linguistics

Stone Collection by Marmotech

Collection and Annotation of the Romanian Legal Corpus

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

Benchmarking Pre-trained Language Models for Multilingual NER: TraSpaS at the BSNLP2021 Shared Task

Workshop on Balto-Slavic Natural Language Processing


lumpy: a general probabilistic framework for structural variant discovery

LUMPY: A probabilistic framework for structural variant discovery

One-step generation of complete gene knockout mice and monkeys by CRISPR/Cas9-mediated gene editing with multiple sgRNAs

Whole-genome CNV analysis: advances in computational approaches

CRISPR/Cas9-mediated targeted chromosome elimination

Characterization of Nigerian breast cancer reveals prevalent homologous recombination deficiency and aggressive molecular features

Comprehensive, integrated, and phased whole-genome analysis of the primary ENCODE cell line K562

Unstable chromosome rearrangements in Staphylococcus aureus cause phenotype switching associated with persistent infections

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

Whole-genome analysis for effective clinical diagnosis and gene discovery in early infantile epileptic encephalopathy

Parliament2: Accurate structural variant calling at scale

Genomic exploration of sequential clinical isolates reveals a distinctive molecular signature of persistent Staphylococcus aureus bacteraemia


An open-source tool-augmented conversational language model from Fudan University

A Survey of Large Language Models

CodeGen: An Open Large Language Model for Code with Multi-Turn Program
  Synthesis

C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for
  Foundation Models

VisionLLM: Large Language Model is also an Open-Ended Decoder for
  Vision-Centric Tasks

VideoChat: Chat-Centric Video Understanding

Instruction Tuning for Large Language Models: A Survey

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

GPT4RoI: Instruction Tuning Large Language Model on Region-of-Interest

LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

InternGPT: Solving Vision-Centric Tasks by Interacting with ChatGPT
  Beyond Language


PSFs In the Full FOV.  A software package for modeling the point-spread function (PSF) across the full field of view (FOV).  Documentation:

Dark Energy Survey Y3 results: blending shear and redshift biases in image simulations

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

Dark Energy Survey year 3 results: point spread function modelling

Monthly Notices of the Royal Astronomical Society

The three-year shear catalog of the Subaru Hyper Suprime-Cam SSP Survey

Publications of the Astronomical Society of Japan

Optimizing LSST observing strategy for weak lensing systematics

Point spread function modelling for astronomical telescopes: a review focused on weak gravitational lensing studies

Frontiers in astronomy and space sciences


Deep Learning for IACT Event Reconstruction

Investigating a Deep Learning Method to Analyze Images from Multiple Gamma-ray Telescopes

2019 New York Scientific Data Summit (NYSDS)

Reconstruction of stereoscopic CTA events using deep learning with CTLearn

Reconstruction of IACT events using deep learning techniques with
  CTLearn

IACT event analysis with the MAGIC telescopes using deep convolutional
  neural networks with CTLearn

Deep-learning-driven event reconstruction applied to simulated data from a single Large-Sized Telescope of CTA

The performance of the MAGIC telescopes using deep convolutional neural
  networks with CTLearn


Nested Sampling post-processing and plotting

KiDS-1000 Cosmology: Multi-probe weak gravitational lensing and spectroscopic galaxy clustering constraints

Dark Energy Survey Year 3 results: Cosmology from cosmic shear and robustness to modeling uncertainty

KiDS-1000 Cosmology: Constraints beyond flat ΛCDM

Assessing tension metrics with dark energy survey and Planck data

Dark Energy Survey Year 3 results: Constraints on extensions to ΛCDM with weak lensing and galaxy clustering

Quantifying Suspiciousness within correlated data sets

Constraints on dark matter to dark radiation conversion in the late universe with DES-Y1 and external data

DES Y1 results: Splitting growth and geometry to test ΛCDM

A Unified Catalog-level Reanalysis of Stage-III Cosmic Shear Surveys


Meteorology Simulator


Differential expression of RNA-seq data using the Negative Binomial

The Immunology of Multisystem Inflammatory Syndrome in Children with COVID-19

glmGamPoi: fitting Gamma-Poisson generalized linear models on single cell count data

The role of metadata in reproducible computational research

Gasdermin D inhibition confers antineutrophil-mediated cardioprotection in acute myocardial infarction

The Journal of clinical investigation/The journal of clinical investigation

Robust principal component analysis for accurate outlier sample detection in RNA-Seq data

Substantial somatic genomic variation and selection for BCOR mutations in human induced pluripotent stem cells

Geographical location influences the composition of the gut microbiota in wild house mice (Mus musculus domesticus) at a fine spatial scale

SARS-CoV-2 infection enhances mitochondrial PTP complex activity to perturb cardiac energetics

Cultivation of Clear Cell Renal Cell Carcinoma Patient-Derived Organoids in an Air-Liquid Interface System as a Tool for Studying Individualized Therapy

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


Simulator of QUantum Network Communication (SeQUeNCe) is an open-source tool that allows modeling of quantum networks including photonic network components, control protocols, and applications.

SeQUeNCe: a customizable discrete-event simulator of quantum networks

Resource Allocation in Quantum Networks for Distributed Quantum Computing

International Conference on Smart Computing

Parallel Simulation of Quantum Networks with Distributed Quantum State Management


OPERA-MS - Hybrid Metagenomic Assembler

A review of computational tools for generating metagenome-assembled genomes from metagenomic sequencing data

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

Improved Assembly of Metagenome-Assembled Genomes and Viruses in Tibetan Saline Lake Sediment by HiFi Metagenomic Sequencing


DFT-FE: Real-space DFT calculations using Finite Elements

DFT-FE – A massively parallel adaptive finite-element code for large-scale density functional theory calculations

DFT-FE 1.0: A massively parallel hybrid CPU-GPU density functional theory code using finite-element discretization

All-electron density functional calculations for electron and nuclear spin interactions in molecules and solids

Roadmap on electronic structure codes in the exascale era


CCS: Generate Highly Accurate Single-Molecule Consensus Reads (HiFi Reads)

Accurate circular consensus long-read sequencing improves variant detection and assembly of a human genome

Sequencing 16S rRNA gene fragments using the PacBio SMRT DNA sequencing system

High-accuracy long-read amplicon sequences using unique molecular identifiers with Nanopore or PacBio sequencing

Genome evolution and diversity of wild and cultivated potatoes

Single-cell virus sequencing of influenza infections that trigger innate immunity

Genomes of the dinoflagellate Polarella glacialis encode tandemly repeated single-exon genes with adaptive functions

A Novel Framework for Characterizing Genomic Haplotype Diversity in the Human Immunoglobulin Heavy Chain Locus

Mitochondrial DNA variation across 56,434 individuals in gnomAD

Deciphering highly similar multigene family transcripts from Iso-Seq data with IsoCon

Standardized multi-omics of Earth’s microbiomes reveals microbial and metabolite diversity


NYU ML² work on sentence encoding with tree structure and dynamic graphs

Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference

A Fast Unified Model for Parsing and Sentence Understanding

Guilt and Redemption on Wisteria Lane: A Burkeian Analysis of Desperate Housewives

ListOps: A Diagnostic Dataset for Latent Tree Learning

The Lifted Matrix-Space Model for Semantic Composition


Entity Linker solution

Scalable Zero-shot Entity Linking with Dense Entity Retrieval

Efficient One-Pass End-to-End Entity Linking for Questions

Neural Entity Linking: A Survey of Models Based on Deep Learning

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

TABi: Type-Aware Bi-Encoders for Open-Domain Entity Retrieval

A Transformational Biencoder with In-Domain Negative Sampling for Zero-Shot Entity Linking

Findings of the Association for Computational Linguistics: ACL 2022

How can voting mechanisms improve the robustness and generalizability of toponym disambiguation?

KILM: Knowledge Injection into Encoder-Decoder Language Models

TempEL: Linking Dynamically Evolving and Newly Emerging Entities

Reveal the Unknown: Out-of-Knowledge-Base Mention Discovery with Entity Linking


A simple and extensible library to create Bayesian Neural Network layers on PyTorch.

Weight Uncertainty in Neural Networks

The Peril of Popular Deep Learning Uncertainty Estimation Methods

UncertaINR: Uncertainty Quantification of End-to-End Implicit Neural
  Representations for Computed Tomography

The Monte Carlo Transformer: a stochastic self-attention model for sequence prediction

Semi-supervised Impedance Inversion by Bayesian Neural Network Based on
  2-d CNN Pre-training

A Potential Prognosis Indicator Based on P300 Brain–Computer Interface for Patients with Disorder of Consciousness

Improving Compositionality of Neural Networks by Decoding Representations to Inputs

TyXe: Pyro-based Bayesian neural nets for Pytorch

Masked Bayesian Neural Networks : Computation and Optimality


[vdjdb.cdr3.net is up and running] Git-based TCR database storage & management. Submissions welcome!

VDJdb: a curated database of T-cell receptor sequences with known antigen specificity

VDJdb in 2019: database extension, new analysis infrastructure and a T-cell receptor motif compendium

Peptide–MHC Class I Tetramers Can Fail To Detect Relevant Functional T Cell Clonotypes and Underestimate Antigen-Reactive T Cell Populations

The journal of immunology/The Journal of immunology

TCRconv: predicting recognition between T cell receptors and epitopes using contextualized motifs

Metric learning enables synthesis of heterogeneous single-cell modalities

Inferring the T-cells repertoire dynamics of healthy individuals


Solves basic Russian NLP tasks, API for lower level Natasha projects

WhatTheWikiFact: Fact-Checking Claims Against Wikipedia

Russian Paraphrasers: Paraphrase with Transformers

Entity Recognition and Relation Extraction from Scientific and Technical Texts in Russian

Hybridization of Intelligent Solutions Architecture for Text Understanding and Text Generation

WikiOmnia: generative QA corpus on the whole Russian Wikipedia

ISTIC’s Triangular Machine Translation System for WMT2021


The Egison Programming Language

Scalar and Tensor Parameters for Importing Tensor Index Notation
  including Einstein Summation Notation

Functional Programming in Pattern-Match-Oriented Programming Style

The art, science, and engineering of programming

Scalar and Tensor Parameters for Importing the Notation in Differential Geometry into Programming


Free to use online tool for labelling photos. https://makesense.ai

SSD: Single Shot MultiBox Detector

On Creating Benchmark Dataset for Aerial Image Interpretation: Reviews, Guidances, and Million-AID

AnnotatorJ: an ImageJ plugin to ease hand annotation of cellular compartments

DiRS: On Creating Benchmark Datasets for Remote Sensing Image Interpretation

Literature Review on Ship Localization, Classification, and Detection Methods Based on Optical Sensors and Neural Networks

Human-in-the-Loop Segmentation of Earth Surface Imagery

Object Detection in Indian Food Platters using Transfer Learning with YOLOv4

Avo-AirDB: An avocado UAV Database for agricultural image segmentation and classification

SWDet: Anchor-Based Object Detector for Solid Waste Detection in Aerial Images

IEEE journal of selected topics in applied earth observations and remote sensing

SHINE: Deep Learning-Based Accessible Parking Management System


General purpose unsupervised sentence representations

SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation

Unsupervised Learning of Sentence Embeddings using Compositional n-Gram Features

North American Chapter of the Association for Computational Linguistics

Simple Unsupervised Keyphrase Extraction using Sentence Embeddings

Boosting Neural Machine Translation with Similar Translations

Improving Neural Conversational Models with Entropy-Based Data Filtering

Transfer Learning and Sentence Level Features for Named Entity Recognition on Tweets

Empirical Methods in Natural Language Processing

Better Word Embeddings by Disentangling Contextual n-Gram Information

Context Mover's Distance & Barycenters: Optimal transport of contexts for building representations

Obtaining Better Static Word Embeddings Using Contextual Embedding Models

Emotion computing using Word Mover’s Distance features based on Ren_CECps


Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"

Towards a Unified View of Parameter-Efficient Transfer Learning

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning

Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

On the Effectiveness of Parameter-Efficient Fine-Tuning

Novelty Controlled Paraphrase Generation with Retrieval Augmented Conditional Prompt Tuning

Exploring the impact of low-rank adaptation on the performance,
  efficiency, and regularization of RLHF

FlexRound: Learnable Rounding based on Element-wise Division for
  Post-Training Quantization

Meta-Learning the Difference: Preparing Large Language Models for Efficient Adaptation

Towards Practical Plug-and-Play Diffusion Models


Pythonic interface to netCDF4 via h5py


ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

ktrain: A Low-Code Library for Augmented Machine Learning

Offensive language identification in Dravidian code mixed social media text

ASAD: A Twitter-based Benchmark Arabic Sentiment Analysis Dataset

Politics and Politeness: Analysis of Incivility on Twitter During the 2020 Democratic Presidential Primary

Perspectives of non-expert users on cyber security and privacy: An analysis of online discussions on twitter

Emotion detection of social data: APIs comparative study


Collection of algorithms for online portfolio selection

Online Portfolio Selection: A Survey

PAMR: Passive aggressive mean reversion strategy for portfolio selection

CORN: Correlation-Driven Nonparametric Learning Approach for Portfolio Selection -- an Online Appendix

Robust Median Reversion Strategy for Online Portfolio Selection

International Joint Conference on Artificial Intelligence

On-Line Portfolio Selection with Moving Average Reversion

Reweighted Price Relative Tracking System for Automatic Portfolio Optimization

IEEE transactions on systems, man, and cybernetics. Systems


Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning

Progressive Neural Architecture Search

Do ImageNet Classifiers Generalize to ImageNet?

Measuring Robustness to Natural Distribution Shifts in Image Classification

Skip Connections Matter: On the Transferability of Adversarial Examples Generated with ResNets

UNIQ: Uniform Noise Injection for Non-Uniform Quantization of Neural Networks

Subspace Attack: Exploiting Promising Subspaces for Query-Efficient Black-box Attacks

MultiGrain: a unified image embedding for classes and instances

Consensus-Driven Propagation in Massive Unlabeled Data for Face Recognition

Non-Parametric Calibration for Classification


High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

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

Learning explanations that are hard to vary

Machine Learning the Physical Nonlocal Exchange-Correlation Functional of Density-Functional Theory.

The journal of physical chemistry letters

Object Representations as Fixed Points: Training Iterative Refinement
  Algorithms with Implicit Differentiation

Hitachi at SemEval-2020 Task 8: Simple but Effective Modality Ensemble for Meme Emotion Recognition

International Workshop on Semantic Evaluation

GaMPEN: A Machine-learning Framework for Estimating Bayesian Posteriors of Galaxy Morphological Parameters

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

Is It Enough to Recommend Tasks to Newcomers? Understanding Mentoring on Good First Issues

Covariance-Aware Feature Alignment with Pre-Computed Source Statistics for Test-Time Adaptation to Multiple Image Corruptions

A Plug-and-Play Defensive Perturbation for Copyright Protection of
  DNN-based Applications


PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

Safe Learning in Robotics: From Learning-Based Control to Safe Reinforcement Learning

Safe Exploration in Continuous Action Spaces

Safe-Control-Gym: A Unified Benchmark Suite for Safe Learning-Based Control and Reinforcement Learning in Robotics

SafeRL-Kit: Evaluating Efficient Reinforcement Learning Methods for Safe
  Autonomous Driving


High-Resolution Image Synthesis with Latent Diffusion Models

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

Structure and Content-Guided Video Synthesis with Diffusion Models

VideoComposer: Compositional Video Synthesis with Motion Controllability

ModelScope Text-to-Video Technical Report

DiffBIR: Towards Blind Image Restoration with Generative Diffusion Prior

TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models

End-to-End Diffusion Latent Optimization Improves Classifier Guidance

TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition

MovieFactory: Automatic Movie Creation from Text using Large Generative Models for Language and Images


General purpose framework to run CMS experiment workflows on HDFS/Spark platform

The CMS monitoring infrastructure and applications

Exploiting Apache Spark platform for CMS computing analytics

The evolution of the CMS monitoring infrastructure

Big data solutions for CMS computing monitoring and analytics


EGG: Emergence of lanGuage in Games

Compositionality and Generalization in Emergent Languages

Anti-efficient encoding in emergent communication

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

Entropy Minimization In Emergent Languages

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

Emergent Language Generalization and Acquisition Speed are not tied to Compositionality

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

International Joint Conference on Natural Language Processing

Cross-Domain Image Captioning with Discriminative Finetuning

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


Genetics ToolboX R package

A catalog of genetic loci associated with kidney function from analyses of a million individuals

Target genes, variants, tissues and transcriptional pathways influencing human serum urate levels

Fine-mapping and cell-specific enrichment at corneal resistance factor loci prioritize candidate causal regulatory variants

Whole Exome Sequencing Enhanced Imputation Identifies 85 Metabolite Associations in the Alpine CHRIS Cohort

Multi-trait analysis characterizes the genetics of thyroid function and identifies causal associations with clinical implications


Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshadri. Collaborators welcome.

Machine learning-based detection of adventitious microbes in T-cell therapy cultures using long-read sequencing


Modular Open Source Fitter for Transients

The Electromagnetic Counterpart of the Binary Neutron Star Merger LIGO/Virgo GW170817. II. UV, Optical, and Near-infrared Light Curves and Comparison to Kilonova Models

The Magnetar Model for Type I Superluminous Supernovae. I. Bayesian Analysis of the Full Multicolor Light-curve Sample with MOSFiT

MOSFiT: Modular Open-Source Fitter for Transients

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

A kilonova following a long-duration gamma-ray burst at 350 Mpc

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

Publications of the Astronomical Society of the Pacific

Theoretical Models of Optical Transients. I. A Broad Exploration of the Duration-Luminosity Phase Space

Tight multimessenger constraints on the neutron star equation of state from GW170817 and a forward model for kilonova light-curve synthesis

Monthly notices of the Royal Astronomical Society

A Deep CFHT Optical Search for a Counterpart to the Possible Neutron Star–Black Hole Merger GW190814

Optical line spectra of tidal disruption events from reprocessing in optically thick outflows

Monthly Notices of the Royal Astronomical Society

Central Black Hole Mass in the Distant Tidal Disruption Event Candidate of Swift J2058.4+0516


Multiple Scattering Theory code for first principles calculations

Ab initio approaches to high-entropy alloys: a comparison of CPA, SQS, and supercell methods

An investigation of high entropy alloy conductivity using first-principles calculations

Averaged cluster approach to including chemical short-range order in KKR-CPA

Tests on the Accuracy and Scalability of the Full-Potential DFT Method Based on Multiple Scattering Theory


lzbench is an in-memory benchmark of open-source LZ77/LZSS/LZMA compressors

Interpretation-enabled Software Reuse Detection Based on a Multi-Level
  Birthmark Model

Compression with the tudocomp Framework

XSI—a genotype compression tool for compressive genomics in large biobanks


HTSeq is a Python library to facilitate processing and analysis of data from  high-throughput sequencing (HTS) experiments.

Analysing high-throughput sequencing data in Python with HTSeq 2.0

Limited access to antigen drives generation of early B cell memory while restraining the plasmablast response

Transcriptome-Guided Identification of Drugs for Repurposing to Treat Age-Related Hearing Loss

Genome-Scale CRISPR Knockout Screening Identifies BACH1 as a Key Regulator of Aflatoxin B1-Induced Oxidative Damage

Single cell qtSEQ: Cell-indexed quantitative and targeted RNA sequencing for sorted rare lymphocyte subpopulations

Characteristics and Correlations of the Oral and Gut Fungal Microbiome with Hypertension

Sustained Stimulation of β 2 AR Inhibits Insulin Signaling in H9C2 Cardiomyoblast Cells Through the PKA-Dependent Signaling Pathway

Diabetes, metabolic syndrome and obesity : targets and therapy

Deciphering the dynamic niches and regeneration-associated transcriptional program of motoneurons following peripheral nerve injury

A single-cell time-lapse of mouse prenatal development from gastrula to birth


Gym environments and agents for autonomous driving.

BARK: Open Behavior Benchmarking in Multi-Agent Environments

Graph Neural Networks and Reinforcement Learning for Behavior Generation in Semantic Environments

An Introduction to Multi-Agent Reinforcement Learning and Review of its Application to Autonomous Mobility

Counterfactual Policy Evaluation for Decision-Making in Autonomous Driving

Causal Reinforcement Learning: A Survey

Using Counterfactual Reasoning and Reinforcement Learning for Decision-Making in Autonomous Driving.


Pathfinding and search testbed/visualization suite. Current code is in PDB-refactor branch.

Multi-Agent Pathfinding with Continuous Time

Iterative Budgeted Exponential Search

Ultrafast Euclidean Shortest Path Computation Using Hub Labeling

Proceedings of the AAAI Conference on Artificial Intelligence


Firmware for Libre Solar MPPT/PWM charge controllers


A clean and simple data loading library for Continual Learning

PODNet: Pooled Outputs Distillation for Small-Tasks Incremental Learning

Continuum: Simple Management of Complex Continual Learning Scenarios


A JuMP-based Nonlinear Integer Program Solver

Juniper: An Open-Source Nonlinear Branch-and-Bound Solver in Julia

Outer approximation with conic certificates for mixed-integer convex problems

Hydroelectric Operation Optimization and Unexpected Spillage Indications


Everything there is to know about Flashbots

SoK: Decentralized Exchanges (DEX) with Automated Market Maker (AMM) Protocols

Empirical Analysis of EIP-1559

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

Maximizing Extractable Value from Automated Market Makers

Extracting Godl [sic] from the Salt Mines: Ethereum Miners Extracting
  Value

Achieving State Machine Replication without Honest Players

Commitment Against Front Running Attacks

Bodyless Block Propagation: TPS Fully Scalable Blockchain with
  Pre-Validation

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


Graphical Fragment Assembly (GFA) Format Specification

A space and time-efficient index for the compacted colored de Bruijn graph

ODGI: understanding pangenome graphs

Innovations and challenges in detecting long read overlaps: an evaluation of the state-of-the-art

Unbiased pangenome graphs

Gfastats: conversion, evaluation and manipulation of genome sequences using assembly graphs

Panache: a web browser-based viewer for linearized pangenomes

Real-time resolution of short-read assembly graph using ONT long reads

Fast sequence to graph alignment using the graph wavefront algorithm

Graph-Based Approaches Significantly Improve the Recovery of Antibiotic Resistance Genes From Complex Metagenomic Datasets

MinYS: mine your symbiont by targeted genome assembly in symbiotic communities


distributed trainer for LLMs

LLaMA: Open and Efficient Foundation Language Models

Llama 2: Open Foundation and Fine-Tuned Chat Models

Code Llama: Open Foundation Models for Code

Mistral 7B

MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

Executable Code Actions Elicit Better LLM Agents

Tower: An Open Multilingual Large Language Model for Translation-Related Tasks


[CVPR 2023 Highlight] InternImage: Exploring Large-Scale Vision Foundation Models with Deformable Convolutions

BEVFormer v2: Adapting Modern Image Backbones to Bird's-Eye-View Recognition via Perspective Supervision

Uni-Perceiver v2: A Generalist Model for Large-Scale Vision and Vision-Language Tasks

Revisiting Adversarial Training for ImageNet: Architectures, Training
  and Generalization across Threat Models


Estimating potential environmental impacts of goods and services in the US economy

LCIA Formatter

useeior: An Open-Source R Package for Building and Using US Environmentally-Extended Input–Output Models

Incorporating New Technologies in EEIO Models


Search client for the ESGF Search API


YOLO ROS: Real-Time Object Detection for ROS

You Only Look Once: Unified, Real-Time Object Detection

CERBERUS: Autonomous Legged and Aerial Robotic Exploration in the Tunnel and Urban Circuits of the DARPA Subterranean Challenge

GazeEMD: Detecting Visual Intention in Gaze-Based Human-Robot Interaction

Team CERBERUS Wins the DARPA Subterranean Challenge: Technical Overview
  and Lessons Learned

Implementation of a System for Real-Time Detection and Localization of Terrain Objects on Harvested Forest Land

Real-Time 3D UAV Pose Estimation by Visualization

Innovation Aviation & Aerospace Industry - International Conference 2020

Global Localization in Unstructured Environments using Semantic Object
  Maps Built from Various Viewpoints

View-Invariant Localization using Semantic Objects in Changing
  Environments

AMORE: CNN-BASED MOVING OBJECT DETECTION AND REMOVAL TOWARDS SLAM IN DYNAMIC ENVIRONMENTS

South African journal of industrial engineering


Automated reaction pathway search for gas-phase molecules

KinBot: Automated stationary point search on potential energy surfaces

Material Characterization and the Effects of Moisture and Drying on Injection Molded Torlon 5030

Pressure-Dependent Competition among Reaction Pathways from First- and Second-O2 Additions in the Low-Temperature Oxidation of Tetrahydrofuran.

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

Influence of oxygenation in cyclic hydrocarbons on chain-termination reactions from R + O2: tetrahydropyran and cyclohexane

Decomposition and isomerization of 1-pentanol radicals and the pyrolysis of 1-pentanol

Photoionization Mass Spectrometric Measurements of Initial Reaction Pathways in Low-Temperature Oxidation of 2,5-Dimethylhexane

A Combined Experimental and Theoretical Study of the Reaction OH + 2-Butene in the 400-800 K Temperature Range.

Quantitative Detection of Products and Radical Intermediates in Low-Temperature Oxidation of Cyclopentane

A New Pathway for Intersystem Crossing: Unexpected Products in the O(3P) + Cyclopentene Reaction.

Unimolecular Reactions of 2,4-Dimethyloxetanyl Radicals


Efficient teacher-student models and scripts to make them

Understanding and Detecting Hallucinations in Neural Machine Translation via Model Introspection

Exploring diversity in back translation for low-resource machine translation

Low-Rank Softmax Can Have Unargmaxable Classes in Theory but Rarely in Practice

Pruning Neural Machine Translation for Speed Using Group Lasso

TranslateLocally: Blazing-fast translation running on the local CPU

Leveraging Neural Machine Translation for Word Alignment

The Prague Bulletin of Mathematical Linguistics

Sampling and Filtering of Neural Machine Translation Distillation Data

The University of Edinburgh's Submission to the WMT22 Code-Mixing Shared
  Task (MixMT)


RNA Velocity generalized through dynamical modeling

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity

Targeted pharmacological therapy restores β-cell function for diabetes remission

Diet-induced alteration of intestinal stem cell function underlies obesity and prediabetes in mice

Regionally distinct trophoblast regulate barrier function and invasion in the human placenta

A transcriptional cross species map of pancreatic islet cells

Pax6 limits the competence of developing cerebral cortical cells to respond to inductive intercellular signals

Calcium-dependent transcriptional changes in human pancreatic islet cells reveal functional diversity in islet cell subtypes.

Endothelial versus pronephron fate decision is modulated by the transcription factors Cloche/Npas4l, Tal1, and Lmo2

Single-cell trajectory analysis reveals a CD9 positive state to contribute to exit from stem cell-like and embryonic diapause states and transit to drug-resistant states

Microgel-based carriers enhance skeletal stem cell reprogramming towards immunomodulatory phenotype in osteoarthritic therapy


ACHE is a web crawler for domain-specific search.

inTIME: A Machine Learning-Based Framework for Gathering and Leveraging Web Data to Cyber-Threat Intelligence

A Crawler Architecture for Harvesting the Clear, Social, and Dark Web for IoT-Related Cyber-Threat Intelligence

Hydria: An Online Data Lake for Multi-Faceted Analytics in the Cultural Heritage Domain

Bootstrapping Domain-Specific Content Discovery on the Web

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


C++ library for solving large sparse linear systems with algebraic multigrid method

AMGCL: An Efficient, Flexible, and Extensible Algebraic Multigrid Implementation

Small Sample Learning of Superpixel Classifiers for EM Segmentation

Accelerating linear solvers for Stokes problems with C++ metaprogramming

On Solving Groundwater Flow and Transport Models with Algebraic Multigrid Preconditioning

Subdomain Deflation Combined with Local AMG: A Case Study Using AMGCL Library

Accelerating linear solvers for large-scale Stokes problems with C++ metaprogramming.

Efficient Solution of 3D Elasticity Problems with Smoothed Aggregation Algebraic Multigrid and Block Arithmetics

SOFTWARE FOR THE THERMAL FIELD CALCULATION IN 3D MODELS OF SEMICONDUCTOR DEVICES

Èlektronnaâ tehnika. Seriâ 2. Poluprovodnikovye pribory

Rheological aspects of underground fluid dynamics and mass exchange processes


EASE (Enhanced AI Scoring Engine) is a library that allows for machine learning based classification of textual content.  This is useful for tasks such as scoring student essays.

A Neural Approach to Automated Essay Scoring

Empirical Methods in Natural Language Processing

Automatic Features for Essay Scoring – An Empirical Study

SkipFlow: Incorporating Neural Coherence Features for End-to-End Automatic Text Scoring

Flexible Domain Adaptation for Automated Essay Scoring Using Correlated Linear Regression

Automated language essay scoring systems: A literature review

Augmenting Textual Qualitative Features in Deep Convolution Recurrent Neural Network for Automatic Essay Scoring

NATURAL LANGUAGE PROCESSING TECHNIQUES FOR EDUCATIONAL APPLICATIONS

Automated Essay Scoring based on Two-Stage Learning

Co-Attention Based Neural Network for Source-Dependent Essay Scoring

Workshop on Innovative Use of NLP for Building Educational Applications

On the Use of BERT for Automated Essay Scoring: Joint Learning of
  Multi-Scale Essay Representation

Automated essay scoring using efficient transformer-based language
  models


a state-of-the-art-level open visual language model | 多模态预训练模型

CogVLM: Visual Expert for Pretrained Language Models

CogAgent: A Visual Language Model for GUI Agents

Safety of Multimodal Large Language Models on Images and Text


Elegant parsing in Java and Scala - lightweight, easy-to-use, powerful.

Syntax Error Recovery in Parsing Expression Grammars

Automatic Syntax Error Reporting and Recovery in Parsing Expression Grammars


TensorRT-LLM provides users with an easy-to-use Python API to define Large Language Models (LLMs) and build TensorRT engines that contain state-of-the-art optimizations to perform inference efficiently on NVIDIA GPUs. TensorRT-LLM also contains components to create Python and C++ runtimes that execute those TensorRT engines.

FlashDecoding++: Faster Large Language Model Inference on GPUs

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

Applications of Large Scale Foundation Models for Autonomous Driving

An LLM Compiler for Parallel Function Calling

Understanding LLMs: A Comprehensive Overview from Training to Inference

DeepSpeed-FastGen: High-throughput Text Generation for LLMs via MII and
  DeepSpeed-Inference

A Speed Odyssey for Deployable Quantization of LLMs

ZeroQuant(4+2): Redefining LLMs Quantization with a New FP6-Centric
  Strategy for Diverse Generative Tasks


[MOVED] Moved to paoloshasta/shasta. De novo assembly from Oxford Nanopore reads

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

Human Genome Assembly in 100 Minutes

Efficient de novo assembly of eleven human genomes using PromethION sequencing and a novel nanopore toolkit

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

The clinical utility of two high-throughput 16S rRNA gene sequencing workflows for taxonomic assignment of unidentifiable bacterial pathogens in MALDI-TOF MS

A beginner’s guide to assembling a draft genome and analyzing structural variants with long-read sequencing technologies

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

The genomics and evolution of inter-sexual mimicry and female-limited polymorphisms in damselflies


Nanos6 is a runtime that implements the OmpSs-2 parallel programming model, developed by the System Tools and Advanced Runtimes (STAR) group at the Barcelona Supercomputing Center.

Advanced synchronization techniques for task-based runtime systems

ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming

Worksharing Tasks: An Efficient Way to Exploit Irregular and Fine-Grained Loop Parallelism

International Conference on High Performance Computing

nOS-V: Co-Executing HPC Applications Using System-Wide Task Scheduling


Neutrino oscillation software using SQuIDS.

Updated global 3+1 analysis of short-baseline neutrino oscillations

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

eV-Scale Sterile Neutrino Search Using Eight Years of Atmospheric Muon Neutrino Data from the IceCube Neutrino Observatory

First Constraints on the Complete Neutrino Mixing Matrix with a Sterile Neutrino

Dark matter annihilation to neutrinos

Solar atmospheric neutrinos and the sensitivity floor for solar dark matter annihilation searches

Journal of Cosmology and Astroparticle Physics

Search for nonstandard neutrino interactions with IceCube DeepCore

Bounds on secret neutrino interactions from high-energy astrophysical neutrinos

High-energy neutrino attenuation in the Earth and its associated uncertainties

Dark matter, destroyer of worlds: neutrino, thermal, and existential signatures from black holes in the Sun and Earth

Neutrino decoherence from quantum gravitational stochastic perturbations


Biosignal Processing in Python

PTB-XL, a large publicly available electrocardiography dataset

Emotion Assessment Using Feature Fusion and Decision Fusion Classification Based on Physiological Data: Are We There Yet?

Attention-Based Convolutional Denoising Autoencoder for Two-Lead ECG Denoising and Arrhythmia Classification

IEEE transactions on instrumentation and measurement

Development of a rapid and economic in vivoelectrocardiogram platform for cardiovascular drug assay and electrophysiology research in adult zebrafish

A 12-Lead ECG database to identify origins of idiopathic ventricular arrhythmia containing 334 patients

Techniques for visualizing LSTMs applied to electrocardiograms

A Hybrid Prognostics Deep Learning Model for Remaining Useful Life Prediction

An End-to-End and Accurate PPG-based Respiratory Rate Estimation Approach Using Cycle Generative Adversarial Networks

Hyperglycemia Identification Using ECG in Deep Learning Era

Deep Learning-Based Proarrhythmia Analysis Using Field Potentials Recorded From Human Pluripotent Stem Cells Derived Cardiomyocytes


Allows multiple parties to agree on transactions before execution.

Harvey: A Greybox Fuzzer for Smart Contracts

Targeted Greybox Fuzzing with Static Lookahead Analysis

Wallet Contracts on Ethereum

Key Event Receipt Infrastructure (KERI)

Practical Mitigation of Smart Contract Bugs

Learning Inputs in Greybox Fuzzing


AMPtorch: Atomistic Machine Learning Package (AMP) - PyTorch

Enabling robust offline active learning for machine learning potentials using simple physics-based priors

Machine learning: science and technology

Robust and scalable uncertainty estimation with conformal prediction for machine-learned interatomic potentials

A Universal Framework for Featurization of Atomistic Systems

The journal of physical chemistry letters

Machine Learning Diffusion Monte Carlo Forces

GMP-Featurizer: A parallelized Python package for efficiently computing
  the Gaussian Multipole features of atomic systems


MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.

DrImpute: imputing dropout events in single cell RNA sequencing data

DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data

K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data

Targeting TMEM176B Enhances Antitumor Immunity and Augments the Efficacy of Immune Checkpoint Blockers by Unleashing Inflammasome Activation

A universal deep neural network for in-depth cleaning of single-cell RNA-Seq data

Molecular Cross-Validation for Single-Cell RNA-seq

Leveraging data-driven self-consistency for high-fidelity gene expression recovery

scRNA‐seq data analysis method to improve analysis performance

An Overview of Algorithms and Associated Applications for Single Cell RNA-Seq Data Imputation

Issues arising from benchmarking single-cell RNA sequencing imputation methods


Finding duplicate images made easy!

MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Searching for MobileNetV3

DataComp: In search of the next generation of multimodal datasets

The Privacy Onion Effect: Memorization is Relative

Perfusion Quantification from Endoscopic Videos: Learning to Read Tumor Signatures

Privacy Side Channels in Machine Learning Systems

Students Parrot Their Teachers: Membership Inference on Model
  Distillation

Placental vessel segmentation and registration in fetoscopy: Literature review and MICCAI FetReg2021 challenge findings

CE-Dedup: Cost-Effective Convolutional Neural Nets Training based on Image Deduplication

Discrimination through Image Selection by Job Advertisers on Facebook

PROCEEDINGS OF THE 6TH ACM CONFERENCE ON FAIRNESS, ACCOUNTABILITY, AND TRANSPARENCY, FACCT 2023


This repository contains implementations of photovoltaic models to calculate electricity generation from a pv installation based on given solar radiation. Furthermore it contains all necessary pre-calculations.

The eGo grid model: An open source approach towards a model of German high and extra-high voltage power grids

SCIGRID INTERNATIONAL CONFERENCE ON POWER GRID MODELLING


C# Data Collector for BloodHound

Defending active directory by combining neural network based dynamic program and evolutionary diversity optimisation

Catch Me if You Can: Effective Honeypot Placement in Dynamic AD Attack
  Graphs


VVenC, the Fraunhofer Versatile Video Encoder

Developments in International Video Coding Standardization After AVC, With an Overview of Versatile Video Coding (VVC)

Versatile Video Coding Standard: A Review From Coding Tools to Consumers Deployment

Energy Efficient Video Decoding for VVC Using a Greedy Strategy-Based Design Space Exploration

IEEE transactions on circuits and systems for video technology

Open GOP Resolution Switching in HTTP Adaptive Streaming with VVC

A Complete End-To-End Open Source Toolchain for the Versatile Video Coding (VVC) Standard

Optimized Decoding-Energy-Aware Encoding In Practical VVC Implementations

All-Intra Rate Control Using Low Complexity Video Features for Versatile Video Coding

VVC Subpicture-Based Frame Packing for MPEG Immersive Video

The Bjøntegaard Bible Why your Way of Comparing Video Codecs May Be Wrong

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

Advanced Design Space Exploration for Joint Energy and Quality optimization for VVC


educational microarchitectures for risc-v isa


A wrapper script to build whole-program LLVM bitcode files

PAC it up: Towards Pointer Integrity using ARM Pointer Authentication

PACStack: an Authenticated Call Stack

Mart: a mutant generation tool for LLVM

Protecting the stack with PACed canaries

Evaluating Manual Intervention to Address the Challenges of Bug Finding with KLEE

FuncFooler: A Practical Black-box Attack Against Learning-based Binary
  Code Similarity Detection Methods

iOLLVM: Enhanced Version of OLLVM

Artificial Intelligence Trends & Technologies


Reinforcement Learning in PyTorch

Decoupling Representation Learning from Reinforcement Learning

An Empirical Model of Large-Batch Training

Accelerated Methods for Deep Reinforcement Learning

rlpyt: A Research Code Base for Deep Reinforcement Learning in PyTorch

Pretraining Representations for Data-Efficient Reinforcement Learning

Adversarial Soft Advantage Fitting: Imitation Learning without Policy Optimization

Redeeming Intrinsic Rewards via Constrained Optimization

Distributionally Robust Policy Learning via Adversarial Environment Generation

Quantile Constrained Reinforcement Learning: A Reinforcement Learning
  Framework Constraining Outage Probability


VarDict

Acquired EGFR C797S mutation mediates resistance to AZD9291 in non–small cell lung cancer harboring EGFR T790M

VarDict: a novel and versatile variant caller for next-generation sequencing in cancer research

Generation of stable PDX derived cell lines using conditional reprogramming

Low-burden TP53 mutations in CLL: clinical impact and clonal evolution within the context of different treatment options

Classification of gastric cancer by EBV status combined with molecular profiling predicts patient prognosis

Relationship of HER2 Alteration and Microsatellite Instability Status in Colorectal Adenocarcinoma

Urinary Comprehensive Genomic Profiling Correlates Urothelial Carcinoma Mutations with Clinical Risk and Efficacy of Intervention

Accuracy of somatic variant detection in multiregional tumor sequencing data

Abstract B51: Tumor genetic shift post standard of care therapy


DNS Tunneling: A Deep Learning based Lexicographical Detection Approach

Below the Radar: Spotting DNS Tunnels in Newly Observed Hostnames in the Wild

Identifying DNS-tunneled traffic with predictive models

DNS tunneling Detection Using Elasticsearch

IOP conference series. Materials science and engineering

A Lightweight Adaptable DNS Channel for Covert Data Transmission


A standard framework for modelling Deep Learning Models for tabular data

TabNet: Attentive Interpretable Tabular Learning

AutoInt: Automatic Feature Interaction Learning via Self-Attentive Neural Networks

PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)

Revisiting Deep Learning Models for Tabular Data

TabTransformer: Tabular Data Modeling Using Contextual Embeddings

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

PyTorch Tabular: A Framework for Deep Learning with Tabular Data

GANDALF: Gated Adaptive Network for Deep Automated Learning of Features


Python package for hypergraph analysis and visualization.

Hypernetwork Science via High-Order Hypergraph Walks

Hypergraph models of biological networks to identify genes critical to pathogenic viral response

Hypernetwork Science: From Multidimensional Networks to Computational Topology

Analyzing, Exploring, and Visualizing Complex Networks via Hypergraphs using SimpleHypergraphs.jl

Properties and Performance of the ABCDe Random Graph Model with Community Structure

Topological Simplifications of Hypergraphs

Hypergraph Artificial Benchmark for Community Detection (h-ABCD)

Parallel Algorithms for Efficient Computation of High-Order Line Graphs of Hypergraphs

Hypergraph Analysis Toolbox for Chromosome Conformation

Hypergraph Application on Business Process Performance


The NCAR Command Language (NCL) is a scripting language for the analysis and visualization of climate and weather data.

Subtle influence of the Atlantic Meridional Overturning Circulation (AMOC) on seasonal sea surface temperature (SST) hindcast skill in the North Atlantic


Sub-arcsecond imaging with the International LOFAR Telescope I. Foundational calibration strategy and pipeline

Unmasking the history of 3C 293 with LOFAR sub-arcsecond imaging

High-resolution international LOFAR observations of 4C~43.15 -- Spectral ages and injection indices in a high-z radio galaxy

Subarcsecond view on the high-redshift blazar GB 1508+5714 by the International LOFAR Telescope

Seeing the forest and the trees: A radio investigation of the ULIRG Mrk 273


Fast genome-wide functional annotation through orthology assignment

Genome-wide macroevolutionary signatures of key innovations in butterflies colonizing new host plants

Transposable Element Misregulation Is Linked to the Divergence between Parental piRNA Pathways in Drosophila Hybrids

Genomic and Biotechnological Characterization of the Heavy-Metal Resistant, Arsenic-Oxidizing Bacterium Ensifer sp. M14

Higher genome variability within metabolism genes associates with recurrent Clostridium difficile infection

The Comparative Analysis of Genomic Diversity and Genes Involved in Carbohydrate Metabolism of Eighty-Eight Bifidobacterium pseudocatenulatum Isolates from Different Niches of China


R package for analysis and visualisation of biological signals in weather radar data

High-Resolution Spatial Distribution of Bird Movements Estimated from a Weather Radar Network


Standalone NECI codebase designed for FCIQMC and other stochastic quantum chemistry methods.

Efficient formulation of full configuration interaction quantum Monte Carlo in a spin eigenbasis via the graphical unitary group approach

Density matrices in full configuration interaction quantum Monte Carlo: Excited states, transition dipole moments, and parallel distribution

Compact numerical solutions to the two-dimensional repulsive Hubbard model obtained via nonunitary similarity transformations

Communication: An efficient and accurate perturbative correction to initiator full configuration interaction quantum Monte Carlo

Spin-Pure Stochastic-CASSCF via GUGA-FCIQMC Applied to Iron-Sulfur Clusters.

Enhancement of superexchange due to synergetic breathing and hopping in corner-sharing cuprates

Efficient and stochastic multireference perturbation theory for large active spaces within a full configuration interaction quantum Monte Carlo framework

Preconditioning and Perturbative Estimators in Full Configuration Interaction Quantum Monte Carlo

Journal of chemical theory and computation

Data Management Plans: the Importance of Data Management in the BIG-MAP
  Project

Eliminating the wave-function singularity for ultracold atoms by a similarity transformation


Quetzal is a modeling library designed for transport planning and traffic forecasts


Microbiome Projects from the Department of Genetics and Department of Gastroenterology and Hepatology , University Medical Centre Groningen

Gut microbial co-abundance networks show specificity in inflammatory bowel disease and obesity

Stability of the human gut virome and effect of gluten-free diet

Genetic, parental and lifestyle factors influence telomere length

A Benchmark of Genetic Variant Calling Pipelines Using Metagenomic Short-Read Sequencing

A combination of fecal calprotectin and human beta-defensin 2 facilitates diagnosis and monitoring of inflammatory bowel disease


A Web API that provides a family of lightweight interfaces for accessing Environmental Data resources.


The Ludii general game system, developed as part of the ERC-funded Digital Ludeme Project.

General Board Game Concepts

Ludii Game Logic Guide

General Board Geometry

Extracting tactics learned from self-play in general games

Spatial State-Action Features for General Games


A C++ Background Subtraction Library with wrappers for Python, MATLAB, Java and GUI on QT

Video Processing From Electro-Optical Sensors for Object Detection and Tracking in a Maritime Environment: A Survey

Background Subtraction in Real Applications: Challenges, Current Models and Future Directions

How Far Can You Get By Combining Change Detection Algorithms?

Real-Time and Accurate Drone Detection in a Video with a Static Background

Small Moving Vehicle Detection in a Satellite Video of an Urban Area

Object Detection using Image Processing

Background-Subtraction Algorithm Optimization for Home Camera-Based Night-Vision Fall Detectors

Unsupervised Object Learning via Common Fate

Underwater Pipeline Oil Spill Detection Based on Structure of Root and Branch Cells

Journal of marine science and engineering

Review on Real Time Background Extraction: Models, Applications, Environments, Challenges and Evaluation Approaches

International journal of online and biomedical engineering


Open source version of the original ISET, a complement to ISETBIO

Neural Network Generalization: The Impact of Camera Parameters

A system for generating complex physically accurate sensor images for automotive applications

A Convolutional Neural Network Reaches Optimal Sensitivity for Detecting Some, but Not All, Patterns

Software-Defined Imaging: A Survey

Simulations of fluorescence imaging in the oral cavity

Accurate smartphone camera simulation using 3D scenes

Image-quality metric system for color filter array evaluation


A Variant Call Format reader for Python.

A phased SNP-based classification of sickle cell anemia HBB haplotypes

WhatsHap: fast and accurate read-based phasing

A bioinformatics workflow for detecting signatures of selection in genomic data

A reference haplotype panel for genome-wide imputation of short tandem repeats

Subgenomic RNA identification in SARS-CoV-2 genomic sequencing data

Diploid-dominant life cycles characterize the early evolution of Fungi

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

Length variation in short tandem repeats affects gene expression in natural populations of Arabidopsis thaliana

Immunogenicity of convalescent and vaccinated sera against clinical isolates of ancestral SARS-CoV-2, Beta, Delta, and Omicron variants

The Genomic Impact of Selection for Virulence against Resistance in the Potato Cyst Nematode, Globodera pallida

Bamgineer: Introduction of simulated allele-specific copy number variants into exome and targeted sequence data sets


Physical Optics Propagation in Python

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

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

Kernel Phase and Coronagraphy with Automatic Differentiation

Modeling coronagraphic extreme wavefront control systems for high contrast imaging in ground and space telescope missions


An open source framework for seq2seq models in PyTorch.

Attention Is All You Need

Convolutional Sequence to Sequence Learning

Semantic Robustness of Models of Source Code

Evaluating Mixed-initiative Conversational Search Systems via User Simulation

TacticZero: Learning to Prove Theorems from Scratch with Deep Reinforcement Learning

Open Domain Dialogue Generation with Latent Images

Unsupervised Bilingual Lexicon Induction Across Writing Systems


QuPath - Bioimage analysis & digital pathology

QuPath: Open source software for digital pathology image analysis

Spatial Organization and Prognostic Significance of NK and NKT-like Cells via Multimarker Analysis of the Colorectal Cancer Microenvironment

QuPath: The global impact of an open source digital pathology system

Computational and structural biotechnology journal

Artificial Intelligence in Pathology: From Prototype to Product

Open Practices and Resources for Collaborative Digital Pathology

QuPath Digital Immunohistochemical Analysis of Placental Tissue

Low Expression of RGS2 Promotes Poor Prognosis in High-Grade Serous Ovarian Cancer

HistoColAi: An Open-Source Web Platform for Collaborative Digital
  Histology Image Annotation with AI-Driven Predictive Integration

Effect of 2-methoxyestradiol treatment on early- and late-stage breast cancer progression in a mouse model

A review of open-source image analysis tools for mammalian cell culture: algorithms, features and implementations


Nanopore sequence read simulator

Precise characterization of somatic complex structural variations from tumor/control paired long-read sequencing data with nanomonsv

Trans-NanoSim characterizes and simulates nanopore RNA-sequencing data

Systematic assessment of long-read RNA-seq methods for transcript identification and quantification

bioRxiv : the preprint server for biology

A spectral algorithm for fast de novo layout of uncorrected long nanopore reads

Trans-NanoSim characterizes and simulates nanopore RNA-seq data


Using Low-rank adaptation to quickly fine-tune diffusion models.

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

An Image is Worth One Word: Personalizing Text-to-Image Generation using
  Textual Inversion

Pivotal Tuning for Latent-based Editing of Real Images

Compacter: Efficient Low-Rank Hypercomplex Adapter Layers

Break-A-Scene: Extracting Multiple Concepts from a Single Image

HyperDreamBooth: HyperNetworks for Fast Personalization of Text-to-Image
  Models

Face0: Instantaneously Conditioning a Text-to-Image Model on a Face

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

Generative Models: What do they know? Do they know things? Let's find
  out!

Text-guided High-definition Consistency Texture Model


brain connectivity toolbox for python

Connectivity characterization of the mouse basolateral amygdalar complex

A parsimonious description of global functional brain organization in three spatiotemporal patterns

Topological reinforcement as a principle of modularity emergence in brain networks

Characterization of the Brain Functional Architecture of Psychostimulant Withdrawal Using Single-Cell Whole-Brain Imaging

A connectomics-based taxonomy of mammals

Network topology of the marmoset connectome

Sex-Specific Neural Networks of Cued Threat Conditioning: A Pilot Study

Dynamic Neural Network Reconfiguration During the Generation and Reinstatement of Mnemonic Representations

VOLTA: adVanced mOLecular neTwork Analysis

A transdiagnostic data-driven study of children’s behaviour and the functional connectome


A benchmark library for Dynamic Algorithm Configuration.

Automated Dynamic Algorithm Configuration

DACBench: A Benchmark Library for Dynamic Algorithm Configuration

Towards Green Automated Machine Learning: Status Quo and Future Directions


Fermat's Last Theorem for regular primes

Formalized Class Group Computations and Integral Points on Mordell Elliptic Curves

Formalization of p-adic L-functions in Lean 3