AutoDock Vina

AutoDock Vina 1.2.0: New Docking Methods, Expanded Force Field, and Python Bindings

Journal of chemical information and modeling

ChemTSv2: Democratizing Functional Molecular Design Using de novo Molecule Generator

Wiley Interdisciplinary Reviews Computational Molecular Science

Discovery of Potential Inhibitors of SARS-CoV-2 Main Protease by a Transfer Learning Method

Discovering Potential Anti-Oral Squamous Cell Carcinoma Mechanisms from Kochiae Fructus Using Network-Based Pharmacology Analysis and Experimental Validation


Shifter - Linux Containers for HPC

Shifter: Containers for HPC

Containers for Portable, Productive, and Performant Scientific Computing

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

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

CMS use of allocation based HPC resources


A grounder and solver for logic programs.

Multi-shot ASP solving with clingo

How to build your own ASP-based system?!

Integrating Task-Motion Planning with Reinforcement Learning for Robust Decision Making in Mobile Robots

plingo: A system for probabilistic reasoning in clingo based on lpmln

A tool for compiling Declarative Process Mining problems in ASP

Automated Verification of Equivalence Properties in Advanced Logic Programs -- Bachelor Thesis

Elaboration Tolerant Representation of Markov Decision Process via Decision-Theoretic Extension of Probabilistic Action Language pBC+

Automated Creation of Expert Systems with the InteKRator Toolbox

Studies in health technology and informatics

Differentiable Satisfiability and Differentiable Answer Set Programming for Sampling-Based Multi-Model Optimization


Hierarchical, iterative clustering for analysis of transcriptomics data in R

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

Morphological diversity of single neurons in molecularly defined cell types

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

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

Chronic myelomonocytic leukaemia stem cell transcriptomes anticipate disease morphology and outcome

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


Haplotype VCF comparison tools

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

Readfish enables targeted nanopore sequencing of gigabase-sized genomes

Best practices for evaluating single nucleotide variant calling methods for microbial genomics

Resolving the Full Spectrum of Human Genome Variation using Linked-Reads

PrecisionFDA Truth Challenge V2: Calling variants from short and long reads in difficult-to-map regions

Benchmarking challenging small variants with linked and long reads

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

The Contribution of Mosaic Variants to Autism Spectrum Disorder

Systematic comparison of germline variant calling pipelines cross multiple next-generation sequencers

Systematic comparison of somatic variant calling performance among different sequencing depth and mutation frequency


Chemical Information from the Web

DoOR 2.0 - Comprehensive Mapping of Drosophila melanogaster Odorant Responses

webchem: An R Package to Retrieve Chemical Information from the Web

Development of quantitative screen for 1550 chemicals with GC-MS

Probing the chemical–biological relationship space with the Drug Target Explorer

Comparison of Mainstream Smoke Composition from CR20 Resin Filter and Empty-Cavity Filter Cigarettes by Headspace SPME Coupled with GC×GC TOFMS and Chemometric Analysis

Beiträge zur Tabakforschung international


Open source process design kit for usage with SkyWater Technology Foundry's 130nm node.

Assessment of Reinforcement Learning for Macro Placement

Fully Binarized, Parallel, RRAM-Based Computing Primitive for In-Memory Similarity Search

A Machine Learning Approach to Improving Timing Consistency between Global Route and Detailed Route

OpenSerDes: An Open Source Process-Portable All-Digital Serial Link

High-Throughput Low Power Area Efficient 17-bit 2’s Complement Multilayer Perceptron Components and Architecture for on-Chip Machine Learning in Implantable Devices

Enabling Reusable Physical Design Flows with Modular Flow Generators

Cryptographically Secure PseudoRandom Bit Generator for Wearable Technology

Enhancing ASIC Technology Mapping via Parallel Supergate Computing


Muzic: Music Understanding and Generation with Artificial Intelligence

MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training

SongMASS: Automatic Song Writing with Pre-training and Alignment Constraint

Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation

TeleMelody: Lyric-to-Melody Generation with a Template-Based Two-Stage Method

DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling

MuseCoco: Generating Symbolic Music from Text

BERT-like Pre-training for Symbolic Piano Music Classification Tasks

MeloForm: Generating Melody with Musical Form based on Expert Systems and Neural Networks

CLaMP: Contrastive Language-Music Pre-training for Cross-Modal Symbolic Music Information Retrieval

GETMusic: Generating Any Music Tracks with a Unified Representation and Diffusion Framework


A cross-platform proteomics data analysis suite

Three-dimensional feature matching improves coverage for single-cell proteomics based on ion mobility filtering

Benchmarking commonly used software suites and analysis workflows for DIA proteomics and phosphoproteomics

An automated and fast sample preparation workflow for laser microdissection guided ultrasensitive proteomics


Open-source implementation of the ETSI C-ITS protocol stack

Cooperative-Intelligent Transport Systems for Vulnerable Road Users safety

Zenodo (CERN European Organization for Nuclear Research)

Multi-Radio V2X Communications Interoperability Through a Multi-Access Edge Computing (MEC)

International Conference on Transparent Optical Networks

Regain Control of Growing Dependencies in OMNeT++ Simulations

VANET Coverage Analysis for GPS Augmentation Data in Rural Area


Toolbox for segmentation and characterisation of transient connectivity

Discovering dynamic brain networks from big data in rest and task

Task-Evoked Dynamic Network Analysis Through Hidden Markov Modeling

Behavioural relevance of spontaneous, transient brain network interactions in fMRI

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

Data and model considerations for estimating time-varying functional connectivity in fMRI

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

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

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

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

Spatiotemporally resolved multivariate pattern analysis for M/EEG


Maximum likelihood inference of time stamped phylogenies and ancestral reconstruction

TreeTime: Maximum-likelihood phylodynamic analysis

panX: pan-genome analysis and exploration

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

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

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

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

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

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


The Full Process Python Package for Robot Learning from Demonstration and Robot Manipulation

Robot Cooking With Stir-Fry: Bimanual Non-Prehensile Manipulation of Semi-Fluid Objects

SoftGPT: Learn Goal-oriented Soft Object Manipulation Skills by Generative Pre-trained Heterogeneous Graph Transformer

BiRP: Learning Robot Generalized Bimanual Coordination using Relative Parameterization Method on Human Demonstration


Logical manifestations of topological concepts, and other things, via the univalent point of view.

Domain Theory in Constructive and Predicative Univalent Foundations

Cantor-Bernstein implies Excluded Middle

On Small Types in Univalent Foundations

The Scott model of PCF in univalent type theory

The Cantor-Schröder-Bernstein Theorem for ∞-groupoids

Set-Theoretic and Type-Theoretic Ordinals Coincide

Predicative Aspects of Order Theory in Univalent Foundations

Partial Functions and Recursion in Univalent Type Theory

Injective types in univalent mathematics

Domain theory in univalent foundations I: Directed complete posets and
  Scott's D_∞


A tool to circularize genome assemblies

Diversity of Pectobacteriaceae Species in Potato Growing Regions in Northern Morocco

Comparative genomics in “Candidatus Kuenenia stuttgartiensis” reveal high genomic plasticity in the overall genome structure, CRISPR loci and surface proteins

Complete Genome Sequence of Phascolarctobacterium faecium G 104, Isolated from the Stools of a Healthy Lean Donor

Agarose-Degrading Characteristics of a Deep-Sea Bacterium Vibrio Natriegens WPAGA4 and Its Cold-Adapted GH50 Agarase Aga3420

Genomic Characterization of a Uropathogenic Escherichia coli ST405 Isolate Harboring blaCTX-M-15-Encoding IncFIA-FIB Plasmid, blaCTX-M-24-Encoding IncI1 Plasmid, and Phage-Like Plasmid

Complete Genome Sequence of Paradevosia shaoguanensis Type Strain J5-3, Obtained Using Nanopore and Illumina Sequencing Technologies

Complete Genome Sequences of Two Avilamycin-Resistant Enterococcus faecium Strains Isolated from Chicken in the United States

Whole-Genome Sequencing of Pig Gut Lactobacillus amylovorus CICC 6090


The Information Dynamics Toolkit xl (IDTxl) is a comprehensive software package for efficient inference of networks and their node dynamics from multivariate time series data using information theory.

IDTxl: The Information Dynamics Toolkit xl: a Python package for the efficient analysis of multivariate information dynamics in networks

Large-scale directed network inference with multivariate transfer entropy and hierarchical statistical testing

Bits and pieces: understanding information decomposition from part-whole relationships and formal logic

Proceedings. Mathematical, physical, and engineering sciences

Introducing a differentiable measure of pointwise shared information

Inferring network properties from time series using transfer entropy and mutual information: validation of multivariate versus bivariate approaches

Information Theory for Complex Systems Scientists

Quantifying the Predictability of Visual Scanpaths Using Active Information Storage

Information theoretic evidence for layer- and frequency-specific changes in cortical information processing under anesthesia

Interaction-Aware Sensitivity Analysis for Aerodynamic Optimization Results using Information Theory

Inferring network properties from time series via transfer entropy and mutual information: validation of bivariate versus multivariate approaches


End-to-End Object Detection with Transformers

DAB-DETR: Dynamic Anchor Boxes are Better Queries for DETR

MaX-DeepLab: End-to-End Panoptic Segmentation with Mask Transformers

UP-DETR: Unsupervised Pre-training for Object Detection with Transformers

DiffusionDet: Diffusion Model for Object Detection

Multimodal Chain-of-Thought Reasoning in Language Models

Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers

Learnable Fourier Features for Multi-Dimensional Spatial Positional Encoding

Estimating and Evaluating Regression Predictive Uncertainty in Deep Object Detectors

Hopper: Multi-hop Transformer for Spatiotemporal Reasoning


Easy-to-use and powerful NLP and LLM library with  Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including Text Classification,   Neural Search, ❓ Question Answering, ℹ Information Extraction,  Document Intelligence,  Sentiment Analysis etc.

Attention Is All You Need

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

Language Models are Few-Shot Learners

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Language Models are Unsupervised Multitask Learners

Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer

Convolutional Neural Networks for Sentence Classification

High-Resolution Image Synthesis with Latent Diffusion Models

Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

XLNet: Generalized Autoregressive Pretraining for Language Understanding


Attempt at tracking states of the arts and recent results (bibliography) on speech recognition.

WER we are and WER we think we are

Investigating Self-supervised Pretraining Frameworks for Pathological Speech Recognition

The History of Speech Recognition to the Year 2030

Normalizing Flow based Hidden Markov Models for Classification of Speech Phones with Explainability

Text-To-Speech Data Augmentation for Low Resource Speech Recognition

Ten Hard Problems in Artificial Intelligence We Must Get Right


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

TabNet: Attentive Interpretable Tabular Learning

TransTab: Learning Transferable Tabular Transformers Across Tables

Predicting and explaining employee turnover intention

International Journal of Data Science and Analytics

SDTR: Soft Decision Tree Regressor for Tabular Data

Towards Cross-Table Masked Pretraining for Web Data Mining

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

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

Fast, accurate, and racially unbiased pan-cancer tumor-only variant calling with tabular machine learning

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

NCART: Neural Classification and Regression Tree for Tabular Data


Easy Reduced Basis method

EZyRB: Easy Reduced Basis method

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

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

A shape optimization pipeline for marine propellers by means of reduced order modeling techniques


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

Improving Data Reliability in Germany's Energy System: A Validation of Unit Locations of the Marktstammdatenregister


XTREME is a benchmark for the evaluation of the cross-lingual generalization ability of pre-trained multilingual models that covers 40 typologically diverse languages and includes nine tasks.

XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization

XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation

FILTER: An Enhanced Fusion Method for Cross-lingual Language Understanding

Consistency Regularization for Cross-Lingual Fine-Tuning

Explicit Alignment Objectives for Multilingual Bidirectional Encoders

Enhancing Cross-lingual Transfer by Manifold Mixup

Frustratingly Easy Label Projection for Cross-lingual Transfer

Evaluating the Diversity, Equity and Inclusion of NLP Technology: A Case Study for Indian Languages

mGTE: Generalized Long-Context Text Representation and Reranking Models
  for Multilingual Text Retrieval

VECO 2.0: Cross-lingual Language Model Pre-training with Multi-granularity Contrastive Learning


Distributed version of Spring Petclinic built with Spring Cloud

A Hierarchical DBSCAN Method for Extracting Microservices from Monolithic Applications

A Microservice Decomposition Method Through Using Distributed Representation of Source Code

Scalable Computing: Practice and Experience

Handling Communication via APIs for Microservices

CATMA: Conformance Analysis Tool For Microservice Applications

Collaborative, Code-Proximal Dynamic Software Visualization within Code Editors

Don't Wait to be Breached! Creating Asymmetric Uncertainty of Cloud Applications via Moving Target Defenses


VAPOR is the Visualization and Analysis Platform for Ocean, Atmosphere, and Solar Researchers

A Survey on Error-Bounded Lossy Compression for Scientific Datasets


Creates spectrum generators for supersymmetric and non-supersymmetric models

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

FlexibleDecay: An automated calculator of scalar decay widths

Interpreting 95 GeV di-photon/bb̅ excesses as a lightest Higgs
  boson of the MRSSM

Higgs mass and vacuum stability with high-scale supersymmetry


Make Complex Heatmaps

Structural and Functional Analysis of the GRAS Gene Family in Grapevine Indicates a Role of GRAS Proteins in the Control of Development and Stress Responses

Spatio-Temporal Interdependence of Bacteria and Phytoplankton during a Baltic Sea Spring Bloom

MicroRNA-27a-5p regulation by promoter methylation and MYC signaling in prostate carcinogenesis

A Landscape of Murine Long Non-Coding RNAs Reveals the Leading Transcriptome Alterations in Adipose Tissue during Aging

Active DNA demethylation regulates tracheary element differentiation in Arabidopsis

ATP11B inhibits breast cancer metastasis in a mouse model by suppressing externalization of nonapoptotic phosphatidylserine

The tertiary lymphoid structure-related signature identified PTGDS in regulating PD-L1 and promoting the proliferation and migration of glioblastoma

Bexmarilimab-induced macrophage activation leads to treatment benefit in solid tumors: The phase I/II first-in-human MATINS trial

Genome-Wide Identification and Characterization of wALOG Family Genes Involved in Branch Meristem Development of Branching Head Wheat

Comparative Analysis of Public RNA-Sequencing Data from Human Intestinal Enteroid (HIEs) Infected with Enteric RNA Viruses Identifies Universal and Virus-Specific Epithelial Responses


Accurate and Efficient Refactoring Detection in Commit History

PROCEEDINGS 2018 IEEE/ACM 40TH INTERNATIONAL CONFERENCE ON SOFTWARE ENGINEERING (ICSE)

Why We Refactor? Confessions of GitHub Contributors

RefactoringMiner 2.0

IEEE Transactions on Software Engineering

HOW DOES REFACTORING AFFECT INTERNAL QUALITY ATTRIBUTES?: A MULTI-PROJECT STUDY

XXXI BRAZILIAN SYMPOSIUM ON SOFTWARE ENGINEERING (SBES 2017)

The Technical Debt Dataset

Predictive Models in Software Engineering

On the Impact of Refactoring on the Relationship between Quality Attributes and Design Metrics

Understanding the impact of refactoring on smells: a longitudinal study of 23 software projects

Understanding the use of lambda expressions in Java

Proceedings of the ACM on Programming Languages

Can Refactoring Be Self-Affirmed? An Exploratory Study on How Developers Document Their Refactoring Activities in Commit Messages

2019 IEEE/ACM 3rd International Workshop on Refactoring (IWoR)

Improving Source Code Readability: Theory and Practice

International Conference on Program Comprehension


KaHIP -- Karlsruhe HIGH Quality Partitioning.

Parallel Graph Partitioning for Complex Networks

Distributed Evolutionary Graph Partitioning

Faster and Better Nested Dissection Orders for Customizable Contraction Hierarchies

Distributed Evolutionary k-way Node Separators

Think Locally, Act Globally: Perfectly Balanced Graph Partitioning

Distributed Pose-Graph Optimization With Multi-Level Partitioning for Multi-Robot SLAM

Arc-Flags Meet Trip-Based Public Transit Routing


DSSAT Cropping System Model

Parallel gridded simulation framework for DSSAT-CSM (version 4.7.5.21) using MPI and NetCDF


Duet: static analysis for unbounded concurrency

Invariant Generation for Multi-Path Loops with Polynomial Assignments

Verification, Model Checking and Abstract Interpretation


OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.

RhythmNet: End-to-End Heart Rate Estimation From Face via Spatial-Temporal Representation

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

AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition

VIPL-HR: A Multi-modal Database for Pulse Estimation from Less-constrained Face Video

Detecting Dementia Through Interactive Computer Avatars

IEEE journal of translational engineering in health and medicine

UBFC-Phys: A Multimodal Database For Psychophysiological Studies of Social Stress

IEEE Transactions on Affective Computing

Convolutional Experts Constrained Local Model for Facial Landmark Detection

Video Sentiment Analysis with Bimodal Information-augmented Multi-Head Attention

Infusing Multi-Source Knowledge with Heterogeneous Graph Neural Network for Emotional Conversation Generation

A Socially Adaptable Framework for Human-Robot Interaction

EmoTour: Estimating Emotion and Satisfaction of Users Based on Behavioral Cues and Audiovisual Data


Analysis and Visualization of Ribosome Profiling Data

riboviz: analysis and visualization of ribosome profiling datasets

Using prototyping to choose a bioinformatics workflow management system

riboviz 2: a flexible and robust ribosome profiling data analysis and visualization workflow

Exploring Ribosome-Positioning on Translating Transcripts with Ribosome Profiling.

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


Template for the GFW Map Builder that is available through ArcGIS Online, as a stand-alone web application, & a library to build custom Forest Atlas web applications


Exploiting Symmetry Reduces the Cost of Training QAOA

IEEE Transactions on Quantum Engineering

Constructing Optimal Contraction Trees for Tensor Network Quantum Circuit Simulation

Importance of Diagonal Gates in Tensor Network Simulations

Similarity-based parameter transferability in the quantum approximate optimization algorithm

Stochastic Approach For Simulating Quantum Noise Using Tensor Networks

Graph representation learning for parameter transferability in quantum approximate optimization algorithm

QArchSearch: A Scalable Quantum Architecture Search Package


The Regional Hydro-Ecologic Simulation System

Understanding How Fuel Treatments Interact With Climate and Biophysical Setting to Affect Fire, Water, and Forest Health: A Process-Based Modeling Approach

Natural revegetation and afforestation in abandoned cropland areas: Hydrological trends and changes in Mediterranean mountains

Watershed Hydrology: Scientific Advances and Environmental Assessments

Guidance on evaluating parametric model uncertainty at decision-relevant scales

Changes in Blue/Green Water Partitioning Under Severe Drought

Hydrologic Response of Sierra Nevada Mixed-Conifer Headwater Catchments to Vegetation Treatments and Wildfire in a Warming Climate


Axon/Myelin segmentation using Deep Learning

AxonDeepSeg: automatic axon and myelin segmentation from microscopy data using convolutional neural networks

Deep Active Learning for Axon-Myelin Segmentation on Histology Data

A simple and robust method for automating analysis of naïve and regenerating peripheral nerves

An overview of open source Deep Learning-based libraries for Neuroscience

Automatic Axon and Myelin Segmentation of Microscopy Images and Morphometrics Extraction


Infrastructure for Machine Learning Guided Optimization (MLGO) in LLVM.

MLGO: a Machine Learning Guided Compiler Optimizations Framework

MLGOPerf: An ML Guided Inliner to Optimize Performance


A python package for FITS input/output wrapping cfitsio

The Dark Energy Survey: Data Release 1

The Astrophysical Journal Supplement Series

Dark Energy Survey Year 1 Results: The Photometric Data Set for Cosmology

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

Stellar Streams Discovered in the Dark Energy Survey

Dark Energy Survey Year 3 Results: Photometric Data Set for Cosmology

The Target-selection Pipeline for the Dark Energy Spectroscopic Instrument

The DECam Local Volume Exploration Survey: Overview and First Data Release

Two Ultra-faint Milky Way Stellar Systems Discovered in Early Data from the DECam Local Volume Exploration Survey

DESI 2024 IV: Baryon Acoustic Oscillations from the Lyman Alpha Forest

Discovery of an Ultra-faint Stellar System near the Magellanic Clouds with the DECam Local Volume Exploration Survey


A PyTorch Basecaller for Oxford Nanopore Reads

Nanopore sequencing and its application to the study of microbial communities

Computational and structural biotechnology journal

Pair consensus decoding improves accuracy of neural network basecallers for nanopore sequencing

An Introduction to Nanopore Sequencing: Past, Present, and Future Considerations

Expanding the Molecular Alphabet of DNA-Based Data Storage Systems with Neural Network Nanopore Readout Processing

Applications and potentials of nanopore sequencing in the (epi)genome and (epi)transcriptome era

Benchmarking of next and third generation sequencing technologies and their associated algorithms for de novo genome assembly

Optimizing experimental design for genome sequencing and assembly with Oxford Nanopore Technologies

A Framework for Designing Efficient Deep Learning-Based Genomic Basecallers

High-sensitive spatially resolved T cell receptor sequencing with SPTCR-seq

Draft Genome Sequence of the Lichenized Fungus Bacidia gigantensis


An open-source framework for training large multimodal models.

Flamingo: a Visual Language Model for Few-Shot Learning

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

OpenFlamingo: An Open-Source Framework for Training Large Autoregressive Vision-Language Models

Multimodal C4: An Open, Billion-scale Corpus of Images Interleaved with Text

Visual Instruction Tuning with Polite Flamingo

What Makes for Good Visual Tokenizers for Large Language Models?

Exploring Diverse In-Context Configurations for Image Captioning

EgoPlan-Bench: Benchmarking Egocentric Embodied Planning with Multimodal Large Language Models

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions


ChainerRL is a deep reinforcement learning library built on top of Chainer.

Proximal Policy Optimization Algorithms

Continuous control with deep reinforcement learning

Asynchronous Methods for Deep Reinforcement Learning

Trust Region Policy Optimization

Addressing Function Approximation Error in Actor-Critic Methods

Dueling Network Architectures for Deep Reinforcement Learning

Prioritized Experience Replay

Deep Reinforcement Learning that Matters

A Distributional Perspective on Reinforcement Learning

Noisy Networks for Exploration


Avatars for Zoom, Skype and other video-conferencing apps.

The Creation and Detection of Deepfakes: A Survey

Zooming Into Video Conferencing Privacy

FakeBuster: A DeepFakes Detection Tool for Video Conferencing Scenarios

The practice of technological deception in videoconferencing systems for distance learning and ways to counter it

Deepfake CAPTCHA: A Method for Preventing Fake Calls

Detection of Real-Time Deepfakes in Video Conferencing with Active Probing and Corneal Reflection

Discussion Paper: The Threat of Real Time Deepfakes


An Easy-to-use, Scalable and High-performance RLHF Framework (70B+ PPO Full Tuning & Iterative DPO & LoRA & RingAttention)

Implementation Matters in Deep Policy Gradients: A Case Study on PPO and TRPO

Beyond Imitation: Leveraging Fine-grained Quality Signals for Alignment

OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF Framework

Aligning to Thousands of Preferences via System Message Generalization

Aligning Language Models with Offline Learning from Human Feedback

ReaLHF: Optimized RLHF Training for Large Language Models through Parameter Reallocation


Code for Anisotropies in the Microwave Background

The Completed SDSS-IV Extended Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations with Lyα Forests

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

Monthly Notices of the Royal Astronomical Society

KiDS-1000 Cosmology: Constraints beyond flat ΛCDM

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

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

Journal of Cosmology and Astroparticle Physics

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

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

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

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

Updated constraints on amplitude and tilt of the tensor primordial spectrum


DID resolver for Ethereum Addresses with support for key management

A Universal System for OpenID Connect Sign-ins with Verifiable Credentials and Cross-Device Flow

DAXiot: A Decentralized Authentication and Authorization Scheme for Dynamic IoT Networks


Gin provides a lightweight configuration framework for Python

Dopamine: A Research Framework for Deep Reinforcement Learning

Scaling Up Models and Data with  and

PyGlove: Symbolic Programming for Automated Machine Learning

Real-time Timbre Transfer and Sound Synthesis using DDSP

Ariadne: PyTorch library for particle track reconstruction using deep learning

PROCEEDINGS OF THE 24TH INTERNATIONAL SCIENTIFIC CONFERENCE OF YOUNG SCIENTISTS AND SPECIALISTS (AYSS-2020)

A comparison of reinforcement learning frameworks for software testing tasks

On the Importance of Step-wise Embeddings for Heterogeneous Clinical Time-Series


Python library to handle Gene Ontology (GO) terms

GOATOOLS: A Python library for Gene Ontology analyses

Prebiotic Effect of Fructooligosaccharides from Morinda officinalis on Alzheimer’s Disease in Rodent Models by Targeting the Microbiota-Gut-Brain Axis

Systemic adaptation of lipid metabolism in response to low- and high-fat diet in Nile tilapia (Oreochromis niloticus)

Gene expression atlas for the food security crop cassava

Transcriptome Analysis of the Hepatopancreas in the Pacific White Shrimp (Litopenaeus vannamei) under Acute Ammonia Stress

The host-pathogen interaction between wheat and yellow rust induces temporally coordinated waves of gene expression

Auxin response factor 6A regulates photosynthesis, sugar accumulation, and fruit development in tomato

Gonadal transcriptomic analysis and differentially expressed genes in the testis and ovary of the Pacific white shrimp (Litopenaeus vannamei)

De novo transcriptome sequencing and gene expression profiling of spinach (Spinacia oleracea L.) leaves under heat stress

Exploration of the Effects of Different Blue LED Light Intensities on Flavonoid and Lipid Metabolism in Tea Plants via Transcriptomics and Metabolomics

International journal of molecular sciences


A Library for Advanced Deep Time Series Models.

TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis

iTransformer: Inverted Transformers Are Effective for Time Series Forecasting

One Fits All:Power General Time Series Analysis by Pretrained LM

Time-LLM: Time Series Forecasting by Reprogramming Large Language Models

Meta-Transformer: A Unified Framework for Multimodal Learning

SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting

Deep Time Series Models: A Comprehensive Survey and Benchmark

RWKV-TS: Beyond Traditional Recurrent Neural Network for Time Series Tasks

Taming Pre-trained LLMs for Generalised Time Series Forecasting via
  Cross-modal Knowledge Distillation

Multi-Patch Prediction: Adapting LLMs for Time Series Representation
  Learning


Python 3 version of FabSim

VECMAtk: a scalable verification, validation and uncertainty quantification toolkit for scientific simulations

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

Sensitivity-driven simulation development: a case study in forced migration

Tutorial applications for Verification, Validation and Uncertainty Quantification using VECMA toolkit

Assessing uncertainties from physical parameters and modelling choices in an atmospheric large eddy simulation model

Uncertainty quantification of dynamic earthquake rupture simulations


About moja global and How We Work


TensorFlow for R

NeuralSens: Sensitivity Analysis of Neural Networks

Deep Compositional Spatial Models

Deep integro-difference equation models for spatio-temporal forecasting

A Detailed Catalogue of Multi-Omics Methodologies for Identification of Putative Biomarkers and Causal Molecular Networks in Translational Cancer Research

Modeling Nonstationary and Asymmetric Multivariate Spatial Covariances via Deformations

Ensemble Methods for Native Language Identification

Workshop on Innovative Use of NLP for Building Educational Applications

Constructing large nonstationary spatio-temporal covariance models via compositional warpings


A collection of reference environments for offline reinforcement learning

Conservative Q-Learning for Offline Reinforcement Learning

D4RL: Datasets for Deep Data-Driven Reinforcement Learning

Offline Reinforcement Learning as One Big Sequence Modeling Problem

Uncertainty Weighted Actor-Critic for Offline Reinforcement Learning

Offline-to-Online Reinforcement Learning via Balanced Replay and Pessimistic Q-Ensemble

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

Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning

Plan Better Amid Conservatism: Offline Multi-Agent Reinforcement Learning with Actor Rectification

Continual Learning of Control Primitives: Skill Discovery via Reset-Games

Bootstrapped Transformer for Offline Reinforcement Learning


Python Spectroscopic Toolkit

Pyspeckit: A Spectroscopic Analysis and Plotting Package

Mapping Jet-ISM Interactions in X-ray Binaries with ALMA: A GRS 1915+105 Case Study

The Young Massive Star Cluster Westerlund 2 Observed with MUSE. I. First Results on the Cluster Internal Motion from Stellar Radial Velocities

Evidence for an Interaction between the Galactic Center Clouds M0.10–0.08 and M0.11–0.11


Visual localization made easy with hloc

SuperGlue: Learning Feature Matching with Graph Neural Networks

From Coarse to Fine: Robust Hierarchical Localization at Large Scale

Patch2Pix: Epipolar-Guided Pixel-Level Correspondences

ASpanFormer: Detector-Free Image Matching with Adaptive Span Transformer

Fully Automated Pose Estimation of Historical Images in the Context of 4D Geographic Information Systems Utilizing Machine Learning Methods

ISPRS International Journal of Geo-Information

Digging Into Self-Supervised Learning of Feature Descriptors

Improving Feature-based Visual Localization by Geometry-Aided Matching

Towards Abdominal 3-D Scene Rendering from Laparoscopy Surgical Videos Using NeRFs

MobileARLoc: On-device Robust Absolute Localisation for Pervasive Markerless Mobile AR

Tracking Objects with 3D Representation from Videos


Code for Bayesian Analysis

Cosmological parameters from the BOSS galaxy power spectrum

Early dark energy does not restore cosmological concordance

General cosmography model with spatial curvature

Monthly notices of the Royal Astronomical Society

Nonlinear perturbation theory extension of the Boltzmann code CLASS

Atacama Cosmology Telescope: Constraints on prerecombination early dark energy

CosmoPower: emulating cosmological power spectra for accelerated Bayesian inference from next-generation surveys

CMB lensing from Planck PR4 maps

Constraints on primordial gravitational waves from the cosmic microwave background

Testing the effect of H-0 on f sigma(8) tension using a Gaussian process method

Updated constraints on amplitude and tilt of the tensor primordial spectrum


XACC - eXtreme-scale Accelerator programming framework

Open source software in quantum computing

A Quantum Computing View on Unitary Coupled Cluster Theory

A Language and Hardware Independent Approach to Quantum-Classical Computing

Enabling Pulse-level Programming, Compilation, and Execution in XACC


A simple and flexible code for Reservoir Computing architectures like Echo State Networks

ReservoirPy: An Efficient and User-Friendly Library to Design Echo State Networks

PyRCN: A toolbox for exploration and application of Reservoir Computing Networks

Which Hype for My New Task? Hints and Random Search for Echo State Networks Hyperparameters

Canary Song Decoder: Transduction and Implicit Segmentation with ESNs and LTSMs

QuantumReservoirPy: A Software Package for Time Series Prediction

Evolving Reservoirs for Meta Reinforcement Learning


Xv6 for RISC-V

Bento and the Art of Repeated Research


MinHash, LSH, LSH Forest, Weighted MinHash, HyperLogLog, HyperLogLog++, LSH Ensemble and HNSW

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

RealToxicityPrompts: Evaluating Neural Toxic Degeneration in Language Models

SantaCoder: don't reach for the stars!

AutoBlock: A Hands-off Blocking Framework for Entity Matching

LargeEA: Aligning Entities for Large-scale Knowledge Graphs

In-Context Learning with Many Demonstration Examples

Topic modeling of public repositories at scale using names in source code

Koala: An Index for Quantifying Overlaps with Pre-training Corpora

A data-driven supply-side approach for estimating cross-border Internet purchases within the European Union

Journal of the Royal Statistical Society Series A: Statistics in Society

DIALITE: Discover, Align and Integrate Open Data Tables

Companion of the 2023 International Conference on Management of Data


Simple simulation code for HERA-like redundant interferometric arrays

Mitigating Internal Instrument Coupling for 21 cm Cosmology. II. A Method Demonstration with the Hydrogen Epoch of Reionization Array

Mitigating Internal Instrument Coupling I: Temporal and Spectral Modeling

Optimizing sparse RFI prediction using deep learning

Absolute Calibration Strategies for the Hydrogen Epoch of Reionization Array and Their Impact on the 21 cm Power Spectrum

Patterns of primary beam non-redundancy in close-packed 21 cm array observations

Learning to detect RFI in radio astronomy without seeing it

Zenodo (CERN European Organization for Nuclear Research)

matvis: A matrix-based visibility simulator for fast forward modelling of many-element 21 cm arrays

Investigating Mutual Coupling in the Hydrogen Epoch of Reionization
  Array and Mitigating its Effects on the 21-cm Power Spectrum


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

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

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

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

Transformers and Large Language Models for Efficient Intrusion Detection Systems: A Comprehensive Survey


Ecosystem Demography Model

The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 1: Model description

The biophysics, ecology, and biogeochemistry of functionally diverse, vertically and horizontally heterogeneous ecosystems: the Ecosystem Demography model, version 2.2 – Part 2: Model evaluation for tropical South America

The Central Amazon Biomass Sink Under Current and Future Atmospheric CO2: Predictions From Big‐Leaf and Demographic Vegetation Models

Journal of Geophysical Research: Biogeosciences

The influence of canopy radiation parameter uncertainty on model projections of terrestrial carbon and energy cycling

Remote sensing-based forest modeling reveals positive effects of functional diversity on productivity at local spatial scale

Climate Drives Modeled Forest Carbon Cycling Resistance and Resilience in the Upper Great Lakes Region, USA

Journal of geophysical research. Biogeosciences

Reducing uncertainty of high-latitude ecosystem models through identification of key parameters


(deprecated) The fast, light, and robust client for the Ethereum mainnet.

COVID-19 Antibody Test/Vaccination Certification: There's an App for That

A Survey on Vulnerabilities of Ethereum Smart Contracts

Prism Removes Consensus Bottleneck for Smart Contracts

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

VM Matters: A Comparison of WASM VMs and EVMs in the Performance of Blockchain Smart Contracts


Pandemic-scale phylogenomics reveals the SARS-CoV-2 recombination landscape

A Daily-Updated Database and Tools for Comprehensive SARS-CoV-2 Mutation-Annotated Trees

bioRxiv : the preprint server for biology

Emergence and widespread circulation of a recombinant SARS-CoV-2 lineage in North America

Ultrafast Sample Placement on Existing Trees (UShER) Empowers Real-Time Phylogenetics for the SARS-CoV-2 Pandemic

Identifying SARS-CoV-2 regional introductions and transmission clusters in real time

Pandemic-scale phylogenetics

Systematic Guidelines for Effective Utilization of COVID-19 Databases in Genomic, Epidemiologic, and Clinical Research


Brevitas: neural network quantization in PyTorch

FINN-L: Library Extensions and Design Trade-off Analysis for Variable Precision LSTM Networks on FPGAs

Ps and Qs: Quantization-Aware Pruning for Efficient Low Latency Neural Network Inference

FAT: Training Neural Networks for Reliable Inference Under Hardware Faults

Graph Neural Networks for Charged Particle Tracking on FPGAs

Memory-Efficient Dataflow Inference for Deep CNNs on FPGA

QONNX: Representing Arbitrary-Precision Quantized Neural Networks

Optimisation of the PointPillars network for 3D object detection in point clouds

Signal Processing: Algorithms, Architectures, Arrangements, and Applications

Open-source FPGA-ML codesign for the MLPerf Tiny Benchmark

An Exploration of State-of-the-Art Automation Frameworks for FPGA-Based DNN Acceleration

PolyLUT: Learning Piecewise Polynomials for Ultra-Low Latency FPGA LUT-based Inference


Code and annotations for the Tabula Muris single-cell transcriptomic dataset.

Endothelial heterogeneity across distinct vascular beds during homeostasis and inflammation

Decomposing Cell Identity for Transfer Learning across Cellular Measurements, Platforms, Tissues, and Species

Graphia: A platform for the graph-based visualisation and analysis of high dimensional data

Mammary cell gene expression atlas links epithelial cell remodeling events to breast carcinogenesis

Graphia: A platform for the graph-based visualisation and analysis of complex data

MichiGAN: sampling from disentangled representations of single-cell data using generative adversarial networks

Investigating transcriptome-wide sex dimorphism by multi-level analysis of single-cell RNA sequencing data in ten mouse cell types

Heightened apoptotic priming of vascular cells across tissues and life span predisposes them to cancer therapy–induced toxicities

An accessible, interactive GenePattern Notebook for analysis and exploration of single-cell transcriptomic data


Stream summarizer and cardinality estimator.

Automatic test improvement with DSpot: a study with ten mature open-source projects

Scaling Graph-based Semi Supervised Learning to Large Number of Labels Using Count-Min Sketch

Refactoring for Reuse: An Empirical Study

A Synopses Data Engine for Interactive Extreme-Scale Analytics


One true awk

Genomes of the wild beets Beta patula and Beta vulgaris ssp. maritima

The Plant journal : for cell and molecular biology

Cytosine methylations in the promoter regions of genes involved in the cellular oxidation equilibrium pathways affect rice heat tolerance


An Open-Source Package for Knowledge Embedding (KE)

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

IEEE transactions on neural networks and learning systems

KG-BERT: BERT for Knowledge Graph Completion

OpenKE: An Open Toolkit for Knowledge Embedding

Empirical Methods in Natural Language Processing

Graph Learning: A Survey

IEEE Transactions on Artificial Intelligence

Iteratively Learning Embeddings and Rules for Knowledge Graph Reasoning

KG-BART: Knowledge Graph-Augmented BART for Generative Commonsense Reasoning

NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding

OWL2Vec*: Embedding of OWL Ontologies

Adaptive Attentional Network for Few-Shot Knowledge Graph Completion

Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework


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

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


Toy UK windstorm model


Creative Commons Attribution 4.0 International

AIRR Community Data Standards

Adaptive Immune Receptor Repertoire Community recommendations for sharing immune-repertoire sequencing data

Reproducibility and Reuse of Adaptive Immune Receptor Repertoire Data

AIRR Community Standardized Representations for Annotated Immune Repertoires

The ADC API: A Web API for the Programmatic Query of the AIRR Data Commons


Graph Neural Networks with Keras and Tensorflow 2.

Graph Neural Networks in TensorFlow and Keras with Spektral

Efficient Graph Deep Learning in TensorFlow with tf_geometric

Graph Neural Networks: Methods, Applications, and Opportunities

Graph Neural Networks for Particle Tracking and Reconstruction

A spatiotemporal deep neural network for fine-grained multi-horizon wind prediction

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

TransMUSE: Transferable Traffic Prediction in MUlti-Service EdgeNetworks


A fast medical imaging analysis library in Python with algorithms for registration, segmentation, and more.

ViT-V-Net: Vision Transformer for Unsupervised Volumetric Medical Image Registration

Recommendations for Processing Head CT Data

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

Deep learning-based quantification of temporalis muscle has prognostic value in patients with glioblastoma

Cross-Modality Multi-Atlas Segmentation via Deep Registration and Label Fusion

NEURO-DRAM: a 3D recurrent visual attention model for interpretable neuroimaging classification

Unified Multi-Modal Image Synthesis for Missing Modality Imputation

Aligning Multi-Sequence CMR Towards Fully Automated Myocardial Pathology Segmentation

A murine model of hnRNPH2-related neurodevelopmental disorder reveals a mechanism for genetic compensation by Hnrnph1

Unsupervised Multi-Modality Registration Network based on Spatially Encoded Gradient Information


The LLM Evaluation Framework

Towards Auditing Large Language Models: Improving Text-based Stereotype Detection

COS-Mix: Cosine Similarity and Distance Fusion for Improved Information Retrieval

Tiny Refinements Elicit Resilience: Toward Efficient Prefix-Model
  Against LLM Red-Teaming


USGS Modular Hydrologic Model


Heavily optimized library for DEFLATE/zlib/gzip compression and decompression

HTSlib: C library for reading/writing high-throughput sequencing data

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

Parallel decompression of gzip-compressed files and random access to DNA sequences

Igneous: Distributed dense 3D segmentation meshing, neuron skeletonization, and hierarchical downsampling

Rapidgzip: Parallel Decompression and Seeking in Gzip Files Using Cache Prefetching

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

Improved structural variant discovery in hard-to-call regions using sample-specific string detection from accurate long reads


Flexible I/O Tester

An Empirical Guide to the Behavior and Use of Scalable Persistent Memory

Bandana: Using Non-volatile Memory for Storing Deep Learning Models

Amber: Enabling Precise Full-System Simulation with Detailed Modeling of All SSD Resources

A Survey on Edge Performance Benchmarking

OCCAM: a flexible, multi-purpose and extendable HPC cluster

Deterministic, Stash-Free Write-Only ORAM

Hydra: Resilient and Highly Available Remote Memory

A Robust Fault-Tolerant and Scalable Cluster-wide Deduplication for Shared-Nothing Storage Systems

CFS: A Distributed File System for Large Scale Container Platforms

Data Structure Primitives on Persistent Memory: An Evaluation


Jupyter-friendly Python interface for C++ MINUIT2

The Completed SDSS-IV Extended Baryon Oscillation Spectroscopic Survey: Baryon Acoustic Oscillations with Lyα Forests

Spectral properties of 441 radio pulsars

Monthly Notices of the Royal Astronomical Society

The Completed SDSS-IV extended Baryon Oscillation Spectroscopic Survey: measurement of the BAO and growth rate of structure of the emission line galaxy sample from the anisotropic power spectrum between redshift 0.6 and 1.1

The completed SDSS-IV extended baryon oscillation spectroscopic survey: growth rate of structure measurement from anisotropic clustering analysis in configuration space between redshift 0.6 and 1.1 for the emission-line galaxy sample

A New View on Auger Data and Cosmogenic Neutrinos in Light of Different Nuclear Disintegration and Air-shower Models

Is cosmic acceleration proven by local cosmological probes?

The on-orbit calibration of DArk Matter Particle Explorer

Strange molecular partners of the Z(c)(3900) and Z(c)(4020)

Interacting radiation after Planck and its implications for the Hubble tension

Journal of Cosmology and Astroparticle Physics

Integral constraints in spectroscopic surveys


Rapid large-scale prokaryote pan genome analysis

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

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

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

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

Frequency-dependent selection can forecast evolution in Streptococcus pneumoniae

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

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

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

Mobilome-driven partitions of the resistome in Salmonella

Comparative genomics and molecular epidemiology of colistin-resistant Acinetobacter baumannii

Computational and structural biotechnology journal


Utility functions for handling MIDI data in a nice/intuitive way.

Lead Sheet Generation and Arrangement by Conditional Generative Adversarial Network

MIDI-Sheet Music Alignment Using Bootleg Score Synthesis

Melody Generation for Pop Music via Word Representation of Musical Properties

Multimodal Lyrics-Rhythm Matching

Musical Score Following and Audio Alignment


pycorrector is a toolkit for text error correction. 文本纠错，实现了Kenlm，T5，MacBERT，ChatGLM3，Qwen2.5等模型应用在纠错场景，开箱即用。

Revisiting Pre-Trained Models for Chinese Natural Language Processing

Neural Abstractive Text Summarization with Sequence-to-Sequence Models

Neural Language Correction with Character-Based Attention

Detect Camouflaged Spam Content via StoneSkipping: Graph and Text Joint Embedding for Chinese Character Variation Representation

A Frustratingly Easy Plug-and-Play Detection-and-Reasoning Module for Chinese Spelling Check

UMRSpell: Unifying the Detection and Correction Parts of Pre-trained Models towards Chinese Missing, Redundant, and Spelling Correction

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

TFC: Defending Against SMS Fraud via a Two-Stage Algorithm

Communications in computer and information science

Detection-Correction Structure via General Language Model for Grammatical Error Correction

Are Pre-trained Language Models Useful for Model Ensemble in Chinese Grammatical Error Correction?


Zcash - Internet Money

Comparison of blockchain platforms: a systematic review and healthcare examples

Journal of the American Medical Informatics Association : JAMIA

Blockchain-Based Secure Storage Management with Edge Computing for IoT

On the Anonymity Guarantees of Anonymous Proof-of-Stake Protocols.

PayPlace: Secure and Flexible Operator-Mediated Payments in Blockchain Marketplaces at Scale

Investigating transactions in cryptocurrencies


scrape data from the itunes app store

User Experience of Cognitive Behavioral Therapy Apps for Depression: An Analysis of App Functionality and User Reviews

User Perspectives of Mood-Monitoring Apps Available to Young People: Qualitative Content Analysis

Pandemic information support lifecycle: Evidence from the evolution of mobile apps during COVID-19

Clinician Perspectives and Design Implications in Using Patient-Generated Health Data to Improve Mental Health Practices: Mixed Methods Study

Rating analysis and BERTopic modeling of consumer versus regulated mHealth app reviews in Germany

Growth in the development of health and fitness mobile apps amid COVID-19 pandemic

Pregnancy Apps for Self-Monitoring: Scoping Review of the Most Popular Global Apps Available in Australia

International journal of environmental research and public health


Distributed Deep learning with Keras & Spark

Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent

Opportunities and obstacles for deep learning in biology and medicine

Fast and Scalable Distributed Deep Convolutional Autoencoder for fMRI Big Data Analytics

Real-time pneumonia prediction using pipelined spark and high-performance computing

Effective Model Update for Adaptive Classification of Text Streams in a Distributed Learning Environment


Generate embeddings from large-scale graph-structured data.

Embedding Entities and Relations for Learning and Inference in Knowledge Bases

Representation Learning for Dynamic Graphs: A Survey

PyTorch-BigGraph: A Large-scale Graph Embedding System

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

Knowledge Graph Embeddings and Explainable AI

LibKGE - A knowledge graph embedding library for reproducible research

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

TwHIN: Embedding the Twitter Heterogeneous Information Network for Personalized Recommendation

Inference Attacks Against Graph Neural Networks

Modern Baselines for SPARQL Semantic Parsing

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

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


Single-molecule localization microscopy

Nuclear pores as versatile reference standards for quantitative superresolution microscopy

Optimizing imaging speed and excitation intensity for single-molecule localization microscopy

Photoactivation of silicon rhodamines via a light-induced protonation

Identification of novel synaptonemal complex components in C. elegans

Organotypic slice culture model demonstrates inter-neuronal spreading of alpha-synuclein aggregates

Maximum-likelihood model fitting for quantitative analysis of SMLM data

Photon-free (s)CMOS camera characterization for artifact reduction in high- and super-resolution microscopy

Skp1 proteins are structural components of the synaptonemal complex in C. elegans

Dual-color Colocalization in Single-molecule Localization Microscopy to Determine the Oligomeric State of Proteins in the Plasma Membrane


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

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

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

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

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

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

Combining Learning and Optimization for Transprecision Computing

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


Software, firmware, and hardware designs for Ubertooth

Handoff All Your Privacy: A Review of Apple's Bluetooth Low Energy Continuity Protocol

All Your Bulbs Are Belong to Us: Investigating the Current State of Security in Connected Lighting Systems

A State-of-the-Art Review on the Security of Mainstream IoT Wireless PAN Protocol Stacks

BLURtooth: Exploiting Cross-Transport Key Derivation in Bluetooth Classic and Bluetooth Low Energy

IoTScanner: Detecting and Classifying Privacy Threats in IoT Neighborhoods

Every Byte Matters


A structural variation pipeline for short-read sequencing

A reference human induced pluripotent stem cell line for large-scale collaborative studies.

A harmonized public resource of deeply sequenced diverse human genomes

bioRxiv : the preprint server for biology

Genome‐Wide Analysis of Structural Variants in Parkinson Disease

Genome-wide structural variant analysis identifies risk loci for non-Alzheimer’s dementias

Detection of trait-associated structural variations using short-read sequencing


A Framework for Encrypted Machine Learning in TensorFlow

SIRNN: A Math Library for Secure RNN Inference

Private Machine Learning in TensorFlow using Secure Computation

Substra: a framework for privacy-preserving, traceable and collaborative Machine Learning

A Comprehensive Survey on Trustworthy Recommender Systems

A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness and Privacy

ShadowNet: A Secure and Efficient On-device Model Inference System for Convolutional Neural Networks

Automatic Fault Detection for Deep Learning Programs Using Graph Transformations

Towards Secure and Practical Machine Learning via Secret Sharing and Random Permutation

Private, Efficient, and Accurate: Protecting Models Trained by Multi-party Learning with Differential Privacy

SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation


Module for statistical learning, with a particular emphasis on time-dependent modelling

Uncovering Causality from Multivariate Hawkes Integrated Cumulants

Tick: a Python library for statistical learning, with a particular emphasis on time-dependent modelling

Sparse and low-rank multivariate Hawkes processes

Self-Attentive Hawkes Processes

Learning Hawkes Processes from a Handful of Events

Exploring Generative Neural Temporal Point Process

Analysis of order book flows using a non-parametric estimation of the branching ratio matrix

ConvSCCS: convolutional self-controlled case series model for lagged adverse event detection

THAP: A Matlab Toolkit for Learning with Hawkes Processes

Modeling Continuous Time Sequences with Intermittent Observations using Marked Temporal Point Processes

ACM Transactions on Intelligent Systems and Technology


Wavelet scattering transforms in Python with GPU acceleration

Kymatio: Scattering Transforms in Python

Privacy-Aware Compression for Federated Data Analysis

Mesostructures: Beyond Spectrogram Loss in Differentiable Time-Frequency Analysis

Deep Scattering Network with Max-pooling


DP3: streaming processing pipeline for radio interferometric data

The AARTFAAC Cosmic Explorer: observations of the 21-cm power spectrum in the EDGES absorption trough

Radio observations of HD 80606 near planetary periastron

Abell 1430: A merging cluster with exceptional diffuse radio emission

Apercal—The Apertif calibration pipeline

Pushing sub-arcsecond resolution imaging down to 30 MHz with the trans-European International LOFAR Telescope

ViCTORIA project: The LOFAR HBA Virgo Cluster Survey


Brood War API

MazeBase: A Sandbox for Learning from Games

Macro action selection with deep reinforcement learning in StarCraft

Combat Models for RTS Games

The Design Of "Stratega": A General Strategy Games Framework

Multi-platform Version of StarCraft: Brood War in a Docker Container: Technical Report

Automatic Observer Script for StarCraft: Brood War Bot Games (technical report)

DeepFoldit -- A Deep Reinforcement Learning Neural Network Folding Proteins

Learning Macromanagement in Starcraft by Deep Reinforcement Learning


Enabling interoperability and scalability in ocean sonar data analysis

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


Open workflow definitions for genomic analysis from MGI at WUSM.

Failure to Detect Mutations in U2AF1 due to Changes in the GRCh38 Reference Sequence

Distinct clonal identities of B-ALLs arising after lenolidomide therapy for multiple myeloma

Unmasking Intra-Tumoral Heterogeneity and Clonal Evolution in NF1-MPNST

Genomic landscape of TP53 -mutated myeloid malignancies.

medRxiv : the preprint server for health sciences

Endothelial cells are a key target of IFN-g during response to combined PD-1/CTLA-4 ICB treatment in a mouse model of bladder cancer

Melanoma in a patient with DNMT3A overgrowth syndrome

Somatic Dnmt3a inactivation leads to slow, canonical DNA methylation loss in murine hematopoietic cells


Package for dynamical modeling of power grids

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


Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)

Gorilla: Large Language Model Connected with Massive APIs

RAFT: Adapting Language Model to Domain Specific RAG

BigCodeBench: Benchmarking Code Generation with Diverse Function Calls
  and Complex Instructions

GoEX: Perspectives and Designs Towards a Runtime for Autonomous LLM
  Applications


BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）

Benchmarking Large Language Models in Retrieval-Augmented Generation

Secrets of RLHF in Large Language Models Part I: PPO

Exploring the Impact of Instruction Data Scaling on Large Language Models: An Empirical Study on Real-World Use Cases

MemoryBank: Enhancing Large Language Models with Long-Term Memory

LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models

MegaScale: Scaling Large Language Model Training to More Than 10,000
  GPUs

LLaMA Beyond English: An Empirical Study on Language Capability Transfer

Exploring ChatGPT's Ability to Rank Content: A Preliminary Study on Consistency with Human Preferences

Datasets for Large Language Models: A Comprehensive Survey

Can Large Language Models Understand Real-World Complex Instructions?


A Fast Implementation of Random Forests

The revival of the Gini importance?

Machine Learning and Deep Learning -- A review for Ecologists

Global terrestrial carbon fluxes of 1999–2019 estimated by upscaling eddy covariance data with a random forest

Synthesis of L-Band SAR and Forest Heights Derived from TanDEM-X DEM and 3 Digital Terrain Models for Biomass Mapping

Application of Machine Learning Classification to Improve the Performance of Vancomycin Therapeutic Drug Monitoring

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

International Journal of Online and Biomedical Engineering (iJOE)

Discrete-time survival forests with Hellinger distance decision trees

Identifying Recent Cholera Infections Using a Multiplex Bead Serological Assay

Analysis and Prediction of Vehicle Kilometers Traveled: A Case Study in Spain


Optimal transport tools implemented with the JAX framework, to get differentiable, parallel and jit-able computations.

Optimal Transport Tools (OTT): A JAX Toolbox for all things Wasserstein

Sinkhorn Divergences for Unbalanced Optimal Transport

Proximal Optimal Transport Modeling of Population Dynamics

Debiased Sinkhorn barycenters

Geophysical inversion and optimal transport

Rethinking Initialization of the Sinkhorn Algorithm

Monge, Bregman and Occam: Interpretable Optimal Transport in High-Dimensions with Feature-Sparse Maps

Beyond ELBOs: A Large-Scale Evaluation of Variational Methods for
  Sampling


A taxonomic toolbelt for R

taxize: taxonomic search and retrieval in R

Mapping the zoonotic niche of Ebola virus disease in Africa

Tapping into non-English-language science for the conservation of global biodiversity

A large-scale species level dated angiosperm phylogeny for evolutionary and ecological analyses

Aggression heuristics underlie animal dominance hierarchies and provide evidence of group-level social information

Rocket Science: The Effect of Spaceflight on Germination Physiology, Ageing, and Transcriptome of Eruca sativa Seeds

Viral spillover risk increases with climate change in High Arctic lake sediments

Identifying Suspect Bat Reservoirs of Emerging Infections

An image dataset of cleared, x-rayed, and fossil leaves vetted to plant family for human and machine learning

ecocomDP: A flexible data design pattern for ecological community survey data


COVID-19 Italia - Monitoraggio situazione

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

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

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

Environmental pollution (Barking, Essex : 1987)

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

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

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

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

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

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

Forecasting the impact of the first wave of the COVID-19 pandemic on hospital demand and deaths for the USA and European Economic Area countries

Official Data and Analytical Forecasts: Differences and Similarities Among Coronavirus Disease (COVID-19) Confirmed Cases and Deaths


Deciding the consistency of non-linear real arithmetic constraints with a conflict driven search using cylindrical algebraic coverings

Journal of Logical and Algebraic Methods in Programming

Verified Quadratic Virtual Substitution for Real Arithmetic

Local Search For SMT On Linear and Multilinear Real Arithmetic


The core library of differential privacy algorithms powering the OpenDP Project.

Widespread Underestimation of Sensitivity in Differentially Private Libraries and How to Fix It

Precision-based attacks and interval refining: how to break, then fix, differential privacy on finite computers

Lessons Learned: Surveying the Practicality of Differential Privacy in the Industry

Differentially Private Sparse Vectors with Low Error, Optimal Space, and Fast Access

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

Sotto Voce: Federated Speech Recognition with Differential Privacy Guarantees

Elephants Do Not Forget: Differential Privacy with State Continuity for
  Privacy Budget

Diverse Community Data for Benchmarking Data Privacy Algorithms

DPpack: An R Package for Differentially Private Statistical Analysis and Machine Learning

Differentially Private Tabular Data Synthesis using Large Language
  Models


Makes Julia reason with equations. General purpose metaprogramming, symbolic computation and algebraic equational reasoning library for the Julia programming language: E-Graphs & equality saturation, term rewriting and more.

egg: Fast and extensible equality saturation

High-performance symbolic-numerics via multiple dispatch

Metatheory.jl: Fast and Elegant Algebraic Computation in Julia with Extensible Equality Saturation

Automated Code Optimization with E-Graphs


A Python library for learning and evaluating knowledge graph embeddings

Complex Embeddings for Simple Link Prediction

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

IEEE transactions on neural networks and learning systems

Systematic integration of biomedical knowledge prioritizes drugs for repurposing

Learning to Represent Knowledge Graphs with Gaussian Embedding

International Conference on Information and Knowledge Management

Building a knowledge graph to enable precision medicine

PyKEEN 1.0: A Python Library for Training and Evaluating Knowledge Graph Embeddings

Bringing Light Into the Dark: A Large-Scale Evaluation of Knowledge Graph Embedding Models Under a Unified Framework

PharmKG: a dedicated knowledge graph benchmark for bomedical data mining

Message Passing for Hyper-Relational Knowledge Graphs

LibKGE - A knowledge graph embedding library for reproducible research


LIBSVM -- A Library for Support Vector Machines

Group Anomaly Detection using Deep Generative Models

A Benchmark of PDF Information Extraction Tools Using a Multi-task and Multi-domain Evaluation Framework for Academic Documents

A Comparison of Different Approaches to Document Representation in Turkish Language

Süleyman Demirel Üniversitesi Fen Bilimleri Enstitüsü Dergisi

Effective Discriminative Feature Selection with Non-trivial Solutions

Negative Emotion Recognition in Spoken Dialogs

Short Text Embedding Autoencoders With Attention-Based Neighborhood Preservation

A snapshot review on soft materials assembly design utilizing machine learning methods


Python package for creating and visualizing interactive network graphs.

Massive-scale Decoding for Text Generation using Lattices

Similarity-weighted Construction of Contextualized Commonsense Knowledge Graphs for Knowledge-intense Argumentation Tasks

Accelerating Scientific Discovery with Generative Knowledge Extraction, Graph-Based Representation, and Multimodal Intelligent Graph Reasoning

X-LoRA: Mixture of Low-Rank Adapter Experts, a Flexible Framework for
  Large Language Models with Applications in Protein Mechanics and Design

AttacKG+:Boosting Attack Knowledge Graph Construction with Large Language Models


A Python module that provides a unified interface to access mock galaxy catalogs and more for the LSST DESC

CosmoDC2: A Synthetic Sky Catalog for Dark Energy Science with LSST

The Astrophysical Journal Supplement Series

The LSST DESC DC2 Simulated Sky Survey

DESCQA: An Automated Validation Framework for Synthetic Sky Catalogs

The impact of line-of-sight structures on measuring H-0 with strong lensing time delays

Monthly Notices of the Royal Astronomical Society

Validating Synthetic Galaxy Catalogs for Dark Energy Science in the LSST Era

Impact of point spread function higher moments error on weak gravitational lensing – II. A comprehensive study

The simulated catalogue of optical transients and correlated hosts (SCOTCH)

DESC DC2 Data Release Note

Galaxy blending effects in deep imaging cosmic shear probes of cosmology


Learning in infinite dimension with neural operators.

Fourier Neural Operator for Parametric Partial Differential Equations

Neural Operator: Learning Maps Between Function Spaces

Choose a Transformer: Fourier or Galerkin

Transformer for Partial Differential Equations' Operator Learning

IAE-Net: Integral Autoencoders for Discretization-Invariant Learning

Learning in latent spaces improves the predictive accuracy of deep neural operators

Multi-Grid Tensorized Fourier Neural Operator for High-Resolution PDEs

Learned coupled inversion for carbon sequestration monitoring and forecasting with Fourier neural operators

MgNO: Efficient Parameterization of Linear Operators via Multigrid

Guaranteed Approximation Bounds for Mixed-Precision Neural Operators


Creative Commons Attribution Share Alike 4.0 International

The Signal Metadata Format Specification

Deep Complex Networks for Protocol-Agnostic Radio Frequency Device Fingerprinting in the Wild

AutoEncoders for Training Compact Deep Learning RF Classifiers for Wireless Protocols

LTE I/Q Data Set for UAV Propagation Modeling, Communication, and Navigation Research

Work In Progress: Towards Adaptive RF Fingerprint-based Authentication of IIoT devices


LightSeq: A High Performance Library for Sequence Processing and Generation

LightSeq: A High Performance Inference Library for Transformers

A Survey on Efficient Training of Transformers

LightSeq2: Accelerated Training for Transformer-Based Models on GPUs

Xiaomingbot: A Multilingual Robot News Reporter

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

The VolcTrans System for WMT22 Multilingual Machine Translation Task


Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

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

YOLO9000: Better, Faster, Stronger

NO Need to Worry about Adversarial Examples in Object Detection in Autonomous Vehicles

Tracking individual honeybees among wildflower clusters with computer vision-facilitated pollinator monitoring

The art and practice of data science pipelines

R-TOD: Real-Time Object Detector with Minimized End-to-End Delay for Autonomous Driving

Detection of Waste Containers Using Computer Vision

A Framework of Transfer Learning in Object Detection for Embedded Systems

Research on Vehicle Trajectory Prediction and Warning Based on Mixed Neural Networks

Super-Resolved Recognition of License Plate Characters


Bayesian haplotype-based genetic polymorphism discovery and genotyping.

Haplotype-based variant detection from short-read sequencing

Whole genome sequencing in clinical and public health microbiology

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

De novo variants in neurodevelopmental disorders with epilepsy

Chromosome-scale genome assembly provides insights into rye biology, evolution and agronomic potential

Discovery of MRSA active antibiotics using primary sequence from the human microbiome

The evolution and population diversity of human-specific segmental duplications

A cell-based model system links chromothripsis with hyperploidy

Sarek: A portable workflow for whole-genome sequencing analysis of germline and somatic variants

Comparing a few SNP calling algorithms using low-coverage sequencing data


Copy number variant detection from targeted DNA sequencing

CNVkit: Genome-Wide Copy Number Detection and Visualization from Targeted DNA Sequencing

Exome sequencing of desmoplastic melanoma identifies recurrent NFKBIE promoter mutations and diverse activating mutations in the MAPK pathway

Histological Transformation and Progression in Follicular Lymphoma: A Clonal Evolution Study

Bioinformatics Analysis for Circulating Cell-Free DNA in Cancer

Circulating tumor DNA in patients with colorectal adenomas: assessment of detectability and genetic heterogeneity

The contribution of hereditary cancer-related germline mutations to lung cancer susceptibility

The Genomic Characteristics of ALK Fusion Positive Tumors in Chinese NSCLC Patients

Analysis pipelines for cancer genome sequencing in mice

CNVkit: Copy number detection and visualization for targeted sequencing using off-target reads

ctDNA Concentration, MIKI67 Mutations and Hyper-Progressive Disease Related Gene Mutations Are Prognostic Markers for Camrelizumab and Apatinib Combined Multiline Treatment in Advanced NSCLC


An extension of the Flexible Collision Library

Differentiable Collision Detection: a Randomized Smoothing Approach

Collision Detection Accelerated: An Optimization Perspective

Contact Models in Robotics: a Comparative Analysis

Hierarchical Experience-informed Navigation for Multi-modal Quadrupedal Rebar Grid Traversal


60+ Implementations/tutorials of deep learning papers with side-by-side notes ; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...),  reinforcement learning (ppo, dqn), capsnet, distillation, ...

Deep Residual Learning for Image Recognition

Adam: A Method for Stochastic Optimization

Attention Is All You Need

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

U-Net: Convolutional Networks for Biomedical Image Segmentation

Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift

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

Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks

Graph Attention Networks

Distilling the Knowledge in a Neural Network


Collection of tools, utilities, datasets and approaches towards realising natural language interfaces for the Web of Data.

QA2Explanation: Generating and Evaluating Explanations for Question Answering Systems over Knowledge Graph

Leveraging Frequent Query Substructures to Generate Formal Queries for Complex Question Answering

No One is Perfect: Analysing the Performance of Question Answering Components over the DBpedia Knowledge Graph

Template-based Question Answering using Recursive Neural Networks

Modern Baselines for SPARQL Semantic Parsing

Knowledge Graph Question Answering Using Graph-Pattern Isomorphism

QaldGen: Towards Microbenchmarking of Question Answering Systems over Knowledge Graphs

Question Answering Over Knowledge Graphs: A Case Study in Tourism

Using Multi-Label Classification for Improved Question Answering

Towards Optimisation of Collaborative Question Answering over Knowledge Graphs


Platform for storing and exploring sensor data


Unleash public transport data in your Java project.


Performance-portable library for particle-based simulations

Enabling particle applications for exascale computing platforms

The international journal of high performance computing applications

Simulations of future particle accelerators: issues and mitigations

LLAMA: The low‐level abstraction for memory access

Kokkos-Based Implementation of MPCD on Heterogeneous Nodes

A performance portable implementation of the semi-Lagrangian algorithm in six dimensions


Fast Neural Machine Translation in C++

Marian: Fast Neural Machine Translation in C++

Edinburgh Neural Machine Translation Systems for WMT 16

ParaCrawl: Web-Scale Acquisition of Parallel Corpora

Meeting of the Association for Computational Linguistics

Sockeye: A Toolkit for Neural Machine Translation

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

Approaching Neural Grammatical Error Correction as a Low-Resource Machine Translation Task

Log-linear Combinations of Monolingual and Bilingual Neural Machine Translation Models for Automatic Post-Editing

Pushing the Limits of Translation Quality Estimation

Transactions of the Association for Computational Linguistics

From Research to Production and Back: Ludicrously Fast Neural Machine Translation

Empirical Methods in Natural Language Processing

Controllable Text Simplification with Lexical Constraint Loss


:pencil2: Web-based image segmentation tool for object detection, localization, and keypoints

Global Wheat Head Detection (GWHD) dataset: a large and diverse dataset of high resolution RGB labelled images to develop and benchmark wheat head detection methods

Real-Time Detection for Wheat Head Applying Deep Neural Network

Panoptic Segmentation on Panoramic Radiographs: Deep Learning-Based Segmentation of Various Structures Including Maxillary Sinus and Mandibular Canal

OOD-CV: A Benchmark for Robustness to Out-of-Distribution Shifts of Individual Nuisances in Natural Images

Tree Detection and Diameter Estimation Based on Deep Learning

Forestry: An International Journal of Forest Research

A Multimodal Imaging–Based Deep Learning Model for Detecting Treatment-Requiring Retinal Vascular Diseases: Model Development and Validation Study (Preprint)

Schistoscope: An Automated Microscope with Artificial Intelligence for Detection of Schistosoma haematobium Eggs in Resource-Limited Settings

Implementation of artificial intelligence algorithms for melanoma screening in a primary care setting

Camera fusion for real-time temperature monitoring of neonates using deep learning

Medical and Biological Engineering and Computing

Semantics through Time: Semi-supervised Segmentation of Aerial Videos with Iterative Label Propagation


The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.

Recommender Systems in the Era of Large Language Models (LLMs)

Information Retrieval Meets Large Language Models: A Strategic Report from Chinese IR Community

Augmentation-Adapted Retriever Improves Generalization of Language Models as Generic Plug-In

ParlayANN: Scalable and Deterministic Parallel Graph-Based Approximate Nearest Neighbor Search Algorithms

Starling: An I/O-Efficient Disk-Resident Graph Index Framework for High-Dimensional Vector Similarity Search on Data Segment

Proceedings of the ACM on Management of Data

Computational Experiments Meet Large Language Model Based Agents: A
  Survey and Perspective


Feature flippers.

Software development with feature toggles: practices used by practitioners

Feature Toggle Driven Development: Practices usedby Practitioners.


Website for the MIMIC Critical Care Database (currently version MIMIC-III)

MIMIC-III, a freely accessible critical care database

The Neutrophil Percentage-to-Albumin Ratio as a New Predictor of All-Cause Mortality in Patients with Cardiogenic Shock

Admission oxygen saturation and all-cause in-hospital mortality in acute myocardial infarction patients: data from the MIMIC-III database

Admission Serum Ionized and Total Calcium as New Predictors of Mortality in Patients with Cardiogenic Shock

Association Between Obesity and Short-And Long-Term Mortality in Patients With Acute Respiratory Distress Syndrome Based on the Berlin Definition

Performance of Sequential Organ Failure Assessment and Simplified Acute Physiology Score II for Post-Cardiac Surgery Patients in Intensive Care Unit

The Prognostic Value of Calcium in Post-Cardiovascular Surgery Patients in the Intensive Care Unit


one for all, Optimal generator with No Exception

High-Resolution Image Synthesis with Latent Diffusion Models

Deep High-Resolution Representation Learning for Human Pose Estimation

Deep High-Resolution Representation Learning for Visual Recognition

Simple Baselines for Human Pose Estimation and Tracking

Scalable Diffusion Models with Transformers

T2I-Adapter: Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models

Stable Video Diffusion: Scaling Latent Video Diffusion Models to Large Datasets

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation

VideoComposer: Compositional Video Synthesis with Motion Controllability


The AIPlan4EU Unified Planning Library

The 2023 International Planning Competition

Dealing with Numeric and Metric Time Constraints in PDDL3 via Compilation to Numeric Planning

THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 18


A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX

Decision-Based Adversarial Attacks: Reliable Attacks Against Black-Box Machine Learning Models

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

Query-Efficient Hard-label Black-box Attack:An Optimization-based Approach

Adversarial Attack and Defense on Graph Data: A Survey

GenAttack: Practical Black-box Attacks with Gradient-Free Optimization

Sign-OPT: A Query-Efficient Hard-label Adversarial Attack

Adversarial Robustness Against the Union of Multiple Perturbation Models

Foolbox: A Python toolbox to benchmark the robustness of machine learning models

A game-based approximate verification of deep neural networks with provable guarantees

Understanding More About Human and Machine Attention in Deep Neural Networks


The app that powers api.safecast.org


Non-Intrusive Load Monitoring Toolkit (nilmtk)

NILMTK: An Open Source Toolkit for Non-intrusive Load Monitoring

International Conference on Future Energy Systems

An electrical load measurements dataset of United Kingdom households from a two-year longitudinal study

Analysis Co-Sparse Coding for Energy Disaggregation

Unsupervised algorithm for disaggregating low-sampling-rate electricity consumption of households

Noiseless Privacy: Definition, Guarantees, and Applications

Investigating the Performance Gap between Testing on Real and Denoised Aggregates in Non-Intrusive Load Monitoring

Recurrent Transform Learning

Noiseless Privacy


FinGPT: Open-Source Financial Large Language Models!  Revolutionize     We release the trained model on HuggingFace.

Enhancing Financial Sentiment Analysis via Retrieval Augmented Large Language Models

RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Instruct-FinGPT: Financial Sentiment Analysis by Instruction Tuning of General-Purpose Large Language Models

FinGPT: Instruction Tuning Benchmark for Open-Source Large Language Models in Financial Datasets

FinGPT: Democratizing Internet-scale Data for Financial Large Language Models

A Survey of Large Language Models in Finance (FinLLMs)

AviationGPT: A Large Language Model for the Aviation Domain


LibCity: An Open Library for Urban Spatial-temporal Data Mining

LibCity: An Open Library for Traffic Prediction

Advances in Geographic Information Systems

LibCity: A Unified Library Towards Efficient and Comprehensive Urban Spatial-Temporal Prediction

Trajectory test-train overlap in next-location prediction datasets

Multi-Factor Spatio-Temporal Prediction based on Graph Decomposition Learning


A Game of Hackers (CTF Scoreboard & Game Manager)

NIZKCTF: A Noninteractive Zero-Knowledge Capture-the-Flag Platform

An Empirical Evaluation of LLMs for Solving Offensive Security
  Challenges

NYU CTF Dataset: A Scalable Open-Source Benchmark Dataset for Evaluating
  LLMs in Offensive Security


LibRec: A Leading Java Library for Recommender Systems, see

Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation

IEEE Transactions on Knowledge and Data Engineering

Sampling-Decomposable Generative Adversarial Recommender

Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering

Recipe Recommendation With Hierarchical Graph Attention Network

Improving Accountability in Recommender Systems Research Through Reproducibility

A User's Guide to CARSKit

Exploring Social Choice Mechanisms for Recommendation Fairness in SCRUF

Improved Diversity-Promoting Collaborative Metric Learning for Recommendation


A linear optimisation model for distributed energy systems

Demand Response Analysis Framework (DRAF): An Open-Source Multi-Objective Decision Support Tool for Decarbonizing Local Multi-Energy Systems

Demystifying natural gas distribution grid decommissioning: An open-source approach to local deep decarbonization of urban neighborhoods

Preparing the Ecuador’s Power Sector to Enable a Large-Scale Electric Land Transport

Optimization-based framework for low-voltage grid reinforcement assessment under various levels of flexibility and coordination

Eco-agriculture and Renewable Energy System Concept for a Rural Community in Ghana

IOP Conference Series: Earth and Environmental Science


Open-Source Neural Machine Translation in Tensorflow

OpenNMT: Open-Source Toolkit for Neural Machine Translation

Six Challenges for Neural Machine Translation

Edinburgh Neural Machine Translation Systems for WMT 16

Linguistic Input Features Improve Neural Machine Translation

Nematus: a Toolkit for Neural Machine Translation

Toward Multilingual Neural Machine Translation with Universal Encoder and Decoder

Revisiting Low-Resource Neural Machine Translation: A Case Study

The IIT Bombay English-Hindi Parallel Corpus

Exploiting Cross-Sentence Context for Neural Machine Translation

A Challenge Set Approach to Evaluating Machine Translation


A pythonic library for probing nuclear physics and cosmology with multimessenger analysis

GRANDMA and HXMT Observations of GRB 221009A: The Standard Luminosity Afterglow of a Hyperluminous Gamma-Ray Burst—In Gedenken an David Alexander Kann

Updated Observing Scenarios and Multimessenger Implications for the International Gravitational-wave Networks O4 and O5

Chemical Distribution of the Dynamical Ejecta in the Neutron Star Merger GW170817


RNA-seq aligner

Integrated Proteogenomic Characterization of HBV-Related Hepatocellular Carcinoma

The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma

Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells

Maternal H3K27me3 controls DNA methylation-independent imprinting

An improved assembly and annotation of the allohexaploid wheat genome identifies complete families of agronomic genes and provides genomic evidence for chromosomal translocations

Single-cell RNA sequencing of mouse brain and lung vascular and vessel-associated cell types

Identification of rare-disease genes using blood transcriptome sequencing and large control cohorts

Unravelling Intratumoral Heterogeneity through High-Sensitivity Single-Cell Mutational Analysis and Parallel RNA Sequencing

A Single-Cell RNA Expression Map of Human Coronavirus Entry Factors

bioRxiv : the preprint server for biology

Immuno-subtyping of breast cancer reveals distinct myeloid cell profiles and immunotherapy resistance mechanisms


Loss modelling framework.


Modelica library allowing simultaneous transient simulation of thermal and electrical systems at both building and feeder level.

BESMod - A Modelica Library providing Building Energy System Modules

Linköping electronic conference proceedings

Energy Conservation in an Office Building Using an Enhanced Blind System Control


Image Super-Resolution for Anime-Style Art

Image Super-Resolution Using Deep Convolutional Networks

U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

MontageGAN: Generation and Assembly of Multiple Components by GANs


Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

MobileNetV2: Inverted Residuals and Linear Bottlenecks

A Survey on Masked Facial Detection Methods and Datasets for Fighting Against COVID-19

IEEE Transactions on Artificial Intelligence

Real-time social distance measurement and face mask detection in public transportation systems during the COVID-19 pandemic and post-pandemic Era: Theoretical approach and case study in Italy Transportation Research Interdisciplinary Perspectives

Transportation research interdisciplinary perspectives

Facemask Wearing Alert System Based on Simple Architecture With Low-Computing Devices

A Comparative Analysis of Variant Deep Learning Models for COVID-19 Protective Face Mask Detection

Türk bilgisayar ve matematik eğitimi dergisi

State of the Art of Quality Assessment of Facial Images

A Convolutional Neural Network-enabled IoT framework to verify COVID-19 hygiene conditions and authorize access to facilities


A scikit-learn-compatible module to estimate prediction intervals and control risks based on conformal predictions.

Distribution-Free, Risk-Controlling Prediction Sets

Conformal prediction interval for dynamic time-series

MAPIE: an open-source library for distribution-free uncertainty quantification

Monitoring Model Deterioration with Explainable Uncertainty Estimation via Non-parametric Bootstrap

Beyond mirkwood: Enhancing SED Modeling with Conformal Predictions

Uncertainty Quantification of the Virial Black Hole Mass with Conformal Prediction

Conformal Prediction in Multi-User Settings: An Evaluation


Orbit-fitting for directly imaged objects

Population-level Eccentricity Distributions of Imaged Exoplanets and Brown Dwarf Companions: Dynamical Evidence for Distinct Formation Channels*

orbitize!: A Comprehensive Orbit-fitting Software Package for the High-contrast Imaging Community

Radial Velocity Measurements of HR 8799 b and c with Medium Resolution Spectroscopy

Deep Exploration of the Planets HR 8799 b, c, and d with Moderate-resolution Spectroscopy

Obliquity Constraints on an Extrasolar Planetary-mass Companion

Constraining the Orbit and Mass of epsilon Eridani b with Radial Velocities, Hipparcos IAD-Gaia DR2 Astrometry, and Multiepoch Vortex Coronagraphy Upper Limits

Radial Velocity Discovery of an Eccentric Jovian World Orbiting at 18 au

Obliquity Constraints on the Planetary-mass Companion HD 106906 b

GRAVITY K-band spectroscopy of HD 206893 B: brown dwarf or exoplanet

A scaled-up planetary system around a supernova progenitor


This tool lets you search your gadgets on your binaries to facilitate your ROP exploitation. ROPgadget supports ELF, PE and Mach-O format on x86, x64, ARM, ARM64, PowerPC, SPARC, MIPS, RISC-V 64, and RISC-V Compressed architectures.

Return-Oriented Programming on RISC-V

Analyzing the Gadgets Towards a Metric to Measure Gadget Quality

Tackling imbalanced data in cybersecurity with transfer learning: a case with ROP payload detection

A TOCTOU Attack on DICE Attestation

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

Reins to the Cloud: Compromising Cloud Systems via the Data Plane

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

From MMU to MPU: Adaptation of the Pip Kernel to Constrained Devices

Artificial Intelligence, Soft Computing and Applications

MAJORCA: Multi-Architecture JOP and ROP Chain Assembler


ABC: System for Sequential Logic Synthesis and Formal Verification

Functional Analysis Attacks on Logic Locking

IEEE Transactions on Information Forensics and Security

Solving SAT and MaxSAT with a Quantum Annealer: Foundations, Encodings, and Preliminary Results

The 5th Reactive Synthesis Competition (SYNTCOMP 2018): Benchmarks, Participants & Results

Benchmarking at the Frontier of Hardware Security: Lessons from Logic Locking

A Simulation-Guided Paradigm for Logic Synthesis and Verification

IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

Late Breaking Results: Reinforcement Learning for Scalable Logic Optimization with Graph Neural Networks

Bridging Hardware and Software Analysis with Btor2C: A Word-Level-Circuit-to-C Translator

Tools and Algorithms for the Construction and Analysis of Systems

Quantifiable Assurance: From IPs to Platforms

SAT-based Circuit Local Improvement

Physically Aware Synthesis Revisited: Guiding Technology Mapping with
  Primitive Logic Gate Placement


A FRamework for Efficient Secure COmputation

Private Machine Learning in TensorFlow using Secure Computation

Data Protection in the Era of Artificial Intelligence: Trends, Existing Solutions and Recommendations for Privacy-Preserving Technologies

A management framework for secure multiparty computation in dynamic environments

Network Operations and Management Symposium

MPC-enabled Privacy-Preserving Neural Network Training against Malicious Attack

SoK: Training Machine Learning Models over Multiple Sources with Privacy Preservation

A Performance and Resource Consumption Assessment of Secret Sharing Based Secure Multiparty Computation

A Privacy-Preserving Log-Rank Test for the Kaplan-Meier Estimator With Secure Multiparty Computation: Algorithm Development and Validation

A New Approach to Privacy-Preserving Clinical Decision Support Systems

Foundations of Programmable Secure Computation


Data driven modeling and automated discovery of dynamical systems for the SciML Scientific Machine Learning organization

Universal Differential Equations for Scientific Machine Learning

PySINDy: A comprehensive Python package for robust sparse system identification

Inferring the Structure of Ordinary Differential Equations


an open-source implementation of sequence-to-sequence based speech processing engine

GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

Improving Transformer-based Speech Recognition Using Unsupervised Pre-training

Speech SIMCLR: Combining Contrastive and Reconstruction Objective for Self-supervised Speech Representation Learning

DiDiSpeech: A Large Scale Mandarin Speech Corpus

A Further Study of Unsupervised Pre-training for Transformer Based Speech Recognition

Automatic Speech Recognition And Limited Vocabulary: A Survey


Intelligent Storage Acceleration Library

Optimal Repair Layering for Erasure-Coded Data Centers: From Theory to Practice

Practical Considerations in Repairing Reed-Solomon Codes

Accelerating XOR-based Erasure Coding using Program Optimization Techniques

A Quantitative Analysis and Guideline of Data Streaming Accelerator in Intel 4th Gen Xeon Scalable Processors

Founsure 1.0: An Erasure Code Library with Efficient Repair and Update Features

Erasure Coding for production in the EOS Open Storage system

Rapidgzip: Parallel Decompression and Seeking in Gzip Files Using Cache Prefetching

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

Design of a Resilient, High-Throughput, Persistent Storage System for the ATLAS Phase-II DAQ System