The existing blockchain-related academic papers. All papers are sorted according to the conference and published year.  Welcome developers or researchers to add more published papers to this list.

Blurring the Lines between Blockchains and Database Systems: the Case of Hyperledger Fabric

SIGMOD '19: PROCEEDINGS OF THE 2019 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Adding Concurrency to Smart Contracts

Proceedings of the ACM Symposium on Principles of Distributed Computing

FalconDB: Blockchain-based Collaborative Database

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

A Transactional Perspective on Execute-order-validate Blockchains

(PB)-B-2-Trace: Privacy-Preserving Blockchain-based Contact Tracing to Combat Pandemics

SIGMOD '21: PROCEEDINGS OF THE 2021 INTERNATIONAL CONFERENCE ON MANAGEMENT OF DATA

Confidentiality Support over Financial Grade Consortium Blockchain

Blockchain-based real-time cheat prevention and robustness for multi-player online games

Conference on Emerging Network Experiment and Technology

SQL Ledger: Cryptographically Verifiable Data in Azure SQL Database

DIV: Resolving the Dynamic Issues of Zero-knowledge Set Membership Proof in the Blockchain

Fast Byzantine Agreement for Permissioned Distributed Ledgers

PROCEEDINGS OF THE 32ND ACM SYMPOSIUM ON PARALLELISM IN ALGORITHMS AND ARCHITECTURES (SPAA '20)


Package for causal inference in graphs and in the pairwise settings. Tools for graph structure recovery and dependencies are included.

Differentiable Causal Discovery from Interventional Data

Causal Discovery Toolbox: Uncover causal relationships in Python

DiBS: Differentiable Bayesian Structure Learning

DAGs with No Curl: An Efficient DAG Structure Learning Approach

Interventions, Where and How? Experimental Design for Causal Models at Scale

Structural Intervention Distance (SID) for Evaluating Causal Graphs

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

Learning DAGs from Data with Few Root Causes

Causal Modeling with Stationary Diffusions


Tools for using the Kinect One (Kinect v2) in ROS

Choosing Smartly: Adaptive Multimodal Fusion for Object Detection in Changing Environments

The Freiburg Groceries Dataset

Detection and Compensation of Degeneracy Cases for IMU-Kinect Integrated Continuous SLAM with Plane Features

Automatic Calibration of an Industrial RGB-D Camera Network Using Retroreflective Fiducial Markers

Embedded Processing and Compression of 3D Sensor Data for Large Scale Industrial Environments

Simultaneous Material Segmentation and 3D Reconstruction in Industrial Scenarios

Cutting Pose Prediction from Point Clouds


HTTP load generator, ApacheBench (ab) replacement

Balanced Leader Distribution Algorithm in Kubernetes Clusters

Local Scheduling in KubeEdge-Based Edge Computing Environment

Engineering and Experimentally Benchmarking a Serverless Edge Computing System

Practical Privacy Preservation in a Mobile Cloud Environment

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

Lecture notes in business information processing

In-Storage Domain-Specific Acceleration for Serverless Computing

Migration of CMSWEB cluster at CERN to Kubernetes

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


DSSAT Cropping System Model

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


A Python library to extract tabular data from PDFs

Image-based table recognition: data, model, and evaluation

TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables

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

Graph Neural Networks and Representation Embedding for Table Extraction in PDF Documents

An Interpretable Deep Learning System for Automatically Scoring Request for Proposals

When Giant Language Brains Just Aren't Enough! Domain Pizzazz with Knowledge Sparkle Dust

LaTeX Rainbow: Universal LaTeX to PDF Document Semantic & Layout Annotation Framework

Proceedings of the Second Workshop on Information Extraction from Scientific Publications


OpenTreeMap is a collaborative platform for crowdsourced tree inventory, ecosystem services calculations, urban forestry analysis, and community engagement.


Tool for the Quality Control of Long-Read Defined Transcriptomes

Robust single-cell discovery of RNA targets of RNA binding proteins and ribosomes

High-throughput and high-accuracy single-cell RNA isoform analysis using PacBio circular consensus sequencing

SQANTI3: curation of long-read transcriptomes for accurate identification of known and novel isoforms

bioRxiv : the preprint server for biology

Genome and transcriptome assemblies of the kuruma shrimp, Marsupenaeus japonicus

Long-read isoform sequencing reveals tissue-specific isoform expression between active and hibernating brown bears (Ursus arctos)

Cochlear transcript diversity and its role in auditory functions implied by an otoferlin short isoform

In-depth Temporal Transcriptome Profiling of Monkeypox and Host Cells using Nanopore Sequencing

Reference long-read isoform-aware transcriptomes of 4 human peripheral blood lymphocyte subsets

Single-cell analysis of isoform switching and transposable element expression during preimplantation embryonic development

Bulk and single-cell alternative splicing analyses reveal roles of TRA2B in myogenic differentiation.


torch-optimizer -- collection of optimizers for Pytorch

Asteroid: the PyTorch-based audio source separation toolkit for researchers

Recent Theoretical Advances in Non-Convex Optimization

Revisiting RCAN: Improved Training for Image Super-Resolution

AngularGrad: A New Optimization Technique for Angular Convergence of Convolutional Neural Networks

AdaInject: Injection Based Adaptive Gradient Descent Optimizers for Convolutional Neural Networks

Ground Truth Inference for Weakly Supervised Entity Matching

Adversarially Optimized Mixup for Robust Classification

Non-convex optimization in digital pre-distortion of the signal


Graph Signal Processing in Python

Signal Processing on Graphs: Extending High-Dimensional Data Analysis to Networks and Other Irregular Data Domains

Graph Signal Processing: Overview, Challenges and Applications

DeepSphere: Efficient spherical convolutional neural network with HEALPix sampling for cosmological applications

Semi-Implicit Graph Variational Auto-Encoders

DeepSphere: a graph-based spherical CNN

Understanding Pooling in Graph Neural Networks

Vector-Valued Graph Trend Filtering With Non-Convex Penalties

IEEE Transactions on Signal and Information Processing over Networks

Learning Graph Cellular Automata

DeepSphere: towards an equivariant graph-based spherical CNN

A computational framework for modeling complex sensor network data using graph signal processing and graph neural networks in structural health monitoring


BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

MeliusNet: Can Binary Neural Networks Achieve MobileNet-level Accuracy?

A comprehensive review of Binary Neural Network

Back to Simplicity: How to Train Accurate BNNs from Scratch?

Training Competitive Binary Neural Networks from Scratch

MeliusNet: An Improved Network Architecture for Binary Neural Networks

Workshop on Applications of Computer Vision

Training Accurate Binary Neural Networks from Scratch

International Conference on Information Photonics

BMXNet 2: An Open Source Framework for Low-bit Networks - Reproducing, Understanding, Designing and Showcasing

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


Python implementation of the multistate Bennett acceptance ratio (MBAR)

Guidelines for the analysis of free energy calculations

Journal of computer-aided molecular design

Best Practices for Alchemical Free Energy Calculations [Article v1.0]

Living journal of computational molecular science

A simple method for automated equilibration detection in molecular simulations

Transferable MARTINI Model of Poly(ethylene Oxide)

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

The Ca2+ permeation mechanism of the ryanodine receptor revealed by a multi-site ion model

Uncovering Differences in Hydration Free Energies and Structures for Model Compound Mimics of Charged Side Chains of Amino Acids

Rigid Body Flows for Sampling Molecular Crystal Structures

Structural analysis of high-dimensional basins of attraction

Statistically optimal continuous free energy surfaces from biased simulations and multistate reweighting


Keras' fork with several new functionalities. Caffe2Keras converter, multimodal layers, etc.

Attention Is All You Need

Learning Deep Features for Discriminative Localization

Multimodal Compact Bilinear Pooling for Visual Question Answering and Visual Grounding

Nematus: a Toolkit for Neural Machine Translation

Simultaneous Food Localization and Recognition

Computational Commensality: From Theories to Computational Models for Social Food Preparation and Consumption in HCI

NMT-Keras: a Very Flexible Toolkit with a Focus on Interactive NMT and Online Learning

The Prague Bulletin of Mathematical Linguistics


OpenVINO™ is an open-source toolkit for optimizing and deploying AI inference

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

WebFace260M: A Benchmark for Million-Scale Deep Face Recognition

Stable LM 2 1.6B Technical Report

Automatic wildfire monitoring system based on deep learning

Deploying Machine Learning Models to Ahead-of-Time Runtime on Edge Using MicroTVM

MetaML: Automating Customizable Cross-Stage Design-Flow for Deep Learning Acceleration

Google Coral-based edge computing person reidentification using human parsing combined with analytical method

An Efficient Sparse Inference Software Accelerator for Transformer-based Language Models on CPUs

FootstepNet: an Efficient Actor-Critic Method for Fast On-line Bipedal
  Footstep Planning and Forecasting


Generic event data model for HEP collider experiments

Key4hep, a framework for future HEP experiments and its use in FCC

EDM4hep and podio - The event data model of the Key4hep project and its implementation

Offline Computing resources for FCC-ee and related challenges

Visualization for physics analysis improvement and applications in BESIII


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.)


High throughput synchronous and asynchronous reinforcement learning

Proximal Policy Optimization Algorithms

Reinforcement Learning and Control as Probabilistic Inference: Tutorial and Review

Sample Factory: Egocentric 3D Control from Pixels at 100000 FPS with Asynchronous Reinforcement Learning

Learn to Follow: Decentralized Lifelong Multi-agent Pathfinding via Planning and Learning

Decentralized Monte Carlo Tree Search for Partially Observable Multi-agent Pathfinding


Climate Model Output Rewriter


Userspace eBPF VM

Safe and Efficient Remote Application Code Execution on Disaggregated NVM Storage with eBPF

Towards Flexible Anonymous Networks

ZCSD: a Computational Storage Device over Zoned Namespaces (ZNS) SSDs

Hyperion: A Case for Unified, Self-Hosting, Zero-CPU Data-Processing Units (DPUs)

bpftime: userspace eBPF Runtime for Uprobe, Syscall and Kernel-User Interactions


R interface to many NOAA data APIs


A high-performance topological machine learning toolbox in Python

giotto-tda: : A Topological Data Analysis Toolkit for Machine Learning and Data Exploration

On the stability of persistent entropy and new summary functions for topological data analysis

giotto-tda: A Topological Data Analysis Toolkit for Machine Learning and Data Exploration

Learning Hyperbolic Representations of Topological Features

Topic Modeling With Topological Data Analysis

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing

Homological Time Series Analysis of Sensor Signals from Power Plants


ECMAScript code generator

Incorporating Domain Knowledge through Task Augmentation for Front-End JavaScript Code Generation

Visualizing JIT Compiler Graphs

Systematic adaptation of dynamically generated source code via domain-specific examples

Visualizing The Intermediate Representation of Just-in-Time Compilers


The RMLMapper executes RML rules to generate high quality Linked Data from multiple originally (semi-)structured data sources

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

International Conference on Information and Knowledge Management

The Semantic Asset Administration Shell

FunMap: Efficient Execution of Functional Mappings for Knowledge Graph Creation

Facade-X: an opinionated approach to SPARQL anything

Turning Transport Data to Comply with EU Standards While Enabling a Multimodal Transport Knowledge Graph

RocketRML - A NodeJS implementation of a use-case specific RML mapper

Enhancing virtual ontology based access over tabular data with Morph-CSV

MapSDI: A Scaled-up Semantic Data Integration Framework for Knowledge Graph Creation

Scaling Up Knowledge Graph Creation to Large and Heterogeneous Data Sources

RMLStreamer-SISO: An RDF Stream Generator from Streaming Heterogeneous Data


MIDI / symbolic music tokenizers for Deep Learning models

Music Transformer

Pop Music Transformer: Beat-based Modeling and Generation of Expressive Pop Piano Compositions

This Time with Feeling: Learning Expressive Musical Performance

Compound Word Transformer: Learning to Compose Full-Song Music over Dynamic Directed Hypergraphs

PopMAG: Pop Music Accompaniment Generation

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

MMM : Exploring Conditional Multi-Track Music Generation with the Transformer

FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control

miditok: A Python package for MIDI file tokenization

Byte Pair Encoding for Symbolic Music


BFT-SMaRt's project home page

Blockchain Consensus Protocols in the Wild

HotStuff: BFT Consensus in the Lens of Blockchain

Basil: Breaking up BFT with ACID (transactions)

Symposium on Operating Systems Principles

Assessing Security and Performances of Consensus algorithms for Permissioned Blockchains

On Byzantine fault tolerance in multi-master Kubernetes clusters

Evaluation and Ranking of Replica Deployments in Geographic State Machine Replication

Symposium on Reliable Distributed Systems

Chop Chop: Byzantine Atomic Broadcast to the Network Limit

A Domain Specific Language for Testing Consensus Implementations

Network Bandwidth Variation-Adapted State Transfer for Geo-Replicated State Machines and its Application to Dynamic Replica Replacement

A State Transfer Method That Adapts to Network Bandwidth Variations in Geographic State Machine Replication


A family of header-only, very fast and memory-friendly hashmap and btree containers.

CCNet: Extracting High Quality Monolingual Datasets from Web Crawl Data

Farview: Disaggregated Memory with Operator Off-loading for Database Engines

Functional Collection Programming with Semi-Ring Dictionaries

Computing water flow through complex landscapes, Part 2: Finding hierarchies in depressions and morphological segmentations

Scan Matching-Based Particle Filter for LIDAR-Only Localization

Scan-Matching based Particle Filtering approach for LIDAR-only Localization


Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research.  https://intellabs.github.io/distiller

Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

AMC: AutoML for Model Compression and Acceleration on Mobile Devices

Model compression via distillation and quantization

Adaptive Neural Networks for Efficient Inference

Improving Neural Network Quantization without Retraining using Outlier Channel Splitting

Neural Network Distiller: A Python Package For DNN Compression Research

Automatic Sparse Connectivity Learning for Neural Networks

Understanding the Effects of Pre-Training for Object Detectors via Eigenspectrum

Coresets based asynchronous network slimming


Label, clean and enrich text datasets with LLMs.

ChatGPT Outperforms Crowd-Workers for Text-Annotation Tasks

AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators

MEGAnno+: A Human-LLM Collaborative Annotation System

A multidisciplinary framework for deconstructing bots' pluripotency in
  dualistic antagonism

Enhancing Fault Detection for Large Language Models via Mutation-Based
  Confidence Smoothing


An R meta-package for the analysis of Next Generation Sequencing data

In vivo cytidine base editing of hepatocytes without detectable off-target mutations in RNA and DNA

Chronic viral infections persistently alter marrow stroma and impair hematopoietic stem cell fitness

Spatial transcriptomics combined with single‐cell RNA‐sequencing unravels the complex inflammatory cell network in atopic dermatitis

Allergy. European Journal of Allergy and Clinical Immunology

Serum deprivation limits loss and promotes recovery of tenogenic phenotype in tendon cell culture systems

Journal of orthopaedic research : official publication of the Orthopaedic Research Society

Beyond detoxification: a role for mouse mEH in the hepatic metabolism of endogenous lipids

Spontaneous reactivation of latent HIV-1 promoters is linked to the cell cycle as revealed by a genetic-insulators-containing dual-fluorescence HIV-1-based vector

Replacing the SpCas9 HNH domain by deaminases generates compact base editors with an alternative targeting scope

The Role of IL-13 and IL-4 in Adipose Tissue Fibrosis

International journal of molecular sciences

Putative Signals of Generalist Plant Species Adaptation to Local Pollinator Communities and Abiotic Factors

Treg-selective IL-2 starvation synergizes with CD40 activation to sustain durable responses in lymphoma models


CBRAIN is a flexible Ruby on Rails framework for accessing and processing of large data on high-performance computing infrastructures.

Boutiques: a flexible framework to integrate command-line applications in computing platforms

Cyberinfrastructure for Open Science at the Montreal Neurological Institute

Integration of “omics” Data and Phenotypic Data Within a Unified Extensible Multimodal Framework

Boutiques: a flexible framework for automated application integration in computing platforms


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

A Survey on Monocular Re-Localization: From the Perspective of Scene Map Representation

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


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

Monthly Notices of the Royal Astronomical Society

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


SAI: a fork of Leela Zero with variable komi.

Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm

Accelerating Self-Play Learning in Go

SAI, a Sensible Artificial Intelligence that plays Go

SAI: a Sensible Artificial Intelligence that plays with handicap and targets high scores in 9x9 Go (extended version)

Score vs. Winrate in Score-Based Games: which Reward for Reinforcement Learning?


Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

Zero-Shot Text-to-Image Generation

BEiT: BERT Pre-Training of Image Transformers

LAION-5B: An open large-scale dataset for training next generation image-text models

Scaling Autoregressive Models for Content-Rich Text-to-Image Generation

DiT: Self-supervised Pre-training for Document Image Transformer

Txt2Img-MHN: Remote Sensing Image Generation From Text Using Modern Hopfield Networks

Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art

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

FairyTailor: A Multimodal Generative Framework for Storytelling

KPE: Keypoint Pose Encoding for Transformer-based Image Generation


detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.

End-to-End Object Detection with Transformers

Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection

DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection

Conditional DETR for Fast Training Convergence

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

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

DETRs with Hybrid Matching

V3Det: Vast Vocabulary Visual Detection Dataset

Enhanced Training of Query-Based Object Detection via Selective Query Recollection

Detection Transformer with Stable Matching


Wide Neural Networks of Any Depth Evolve as Linear Models Under Gradient Descent

Scientific Machine Learning through Physics-Informed Neural Networks: Where we are and What's next

Neural Tangents: Fast and Easy Infinite Neural Networks in Python

Provably efficient machine learning for quantum many-body problems

The large learning rate phase of deep learning: the catapult mechanism

Dataset Distillation with Infinitely Wide Convolutional Networks

Explaining Neural Scaling Laws

Infinite attention: NNGP and NTK for deep attention networks

Bayesian Deep Ensembles via the Neural Tangent Kernel

Stable ResNet


Astronomy and astrophysics core library

The Astropy Project: Building an inclusive, open-science project and status of the v2.0 software

SWE-bench: Can Language Models Resolve Real-World GitHub Issues?

Python Leap Second Management and Implementation of Precise Barycentric Correction (barycorrpy)

Hypothesis: A new approach to property-based testing

On the Detection of Exomoons Transiting Isolated Planetary-mass Objects

Prediction and Verification of Parker Solar Probe Solar Wind Sources at 13.3 R_⊙

Fast Period Searches Using the Lomb-Scargle Algorithm on Graphics Processing Units for Large Datasets and Real-Time Applications

CodeR: Issue Resolving with Multi-Agent and Task Graphs

CSST WL preparation I: forecast the impact from non-Gaussian covariances and requirements on systematics control

Falsify your Software: validating scientific code with property-based testing

Proceedings of the Python in Science Conferences


Python tools to access and analyse NuGrid output data (including from MESA)

NuGrid stellar data set – II. Stellar yields from H to Bi for stellar models with MZAMS = 1–25 M⊙ and Z = 0.0001–0.02

Monthly notices of the Royal Astronomical Society

Type Ia supernovae from non-accreting progenitors

Isotopic ratios for C, N, Si, Al, and Ti in C-rich presolar grains from massive stars


The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.

Safe and Practical GPU Acceleration in TrustZone

Optimizing Direct Convolutions on ARM Multi-Cores

Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis

HetSched: Quality-of-Mission Aware Scheduling for Autonomous Vehicle SoCs

Towards Effective Depthwise Convolutions on ARMv8 Architecture

Harnessing Deep Learning and HPC Kernels via High-Level Loop and Tensor Abstractions on CPU Architectures


De novo assembler for single molecule sequencing reads using repeat graphs

Assembly of long, error-prone reads using repeat graphs

metaFlye: scalable long-read metagenome assembly using repeat graphs

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

Assembly of long error-prone reads using de Bruijn graphs

Efficient assembly of nanopore reads via highly accurate and intact error correction

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

The Indian cobra reference genome and transcriptome enables comprehensive identification of venom toxins

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

HASLR: Fast Hybrid Assembly of Long Reads

A distinct Fusobacterium nucleatum clade dominates the colorectal cancer niche


HiSim - House Infrastructure Simulator


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

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

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

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

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

Data-driven simulation and characterisation of gold nanoparticle melting

Complexity of many-body interactions in transition metals via machine-learned force fields from the TM23 data set

Low-index mesoscopic surface reconstructions of Au surfaces using Bayesian force fields

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

Unbiased Atomistic Predictions of Crystal Dislocation Dynamics using Bayesian Force Fields


Image augmentation for machine learning experiments.

Albumentations: fast and flexible image augmentations

AutoML: A survey of the state-of-the-art

The ApolloScape Open Dataset for Autonomous Driving and Its Application

IEEE transactions on pattern analysis and machine intelligence

DeepPoseKit, a software toolkit for fast and robust animal pose estimation using deep learning

TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning

Computer methods and programs in biomedicine

Deep learning and alignment of spatially resolved single-cell transcriptomes with Tangram

Domain Randomization and Pyramid Consistency: Simulation-to-Real Generalization without Accessing Target Domain Data

SLEAP: A deep learning system for multi-animal pose tracking

Scenic: a language for scenario specification and scene generation

Programming Language Design and Implementation

Cross-domain Face Presentation Attack Detection via Multi-domain Disentangled Representation Learning


FOREST - Forecast and Observation Research and Evaluation Survey Tool


Bioconductor facilities for parallel evaluation

The Inflammatory Bowel Disease Transcriptome and Metatranscriptome Meta-Analysis (IBD TaMMA) framework

Comprehensive analysis of long noncoding RNA expression in dorsal root ganglion reveals cell-type specificity and dysregulation after nerve injury

Egr2 and 3 control inflammation, but maintain homeostasis, of PD-1high memory phenotype CD4 T cells

Identifying Differentially Expressed Genes of Zero Inflated Single Cell RNA Sequencing Data Using Mixed Model Score Tests


Simple multirotor simulator with MAVLink protocol support

A Review of Physics Simulators for Robotic Applications

Design of Software Rejuvenation for CPS Security Using Invariant Sets

Experimental Implementation of an Adaptive Digital Autopilot

Distributed Relative Localization Algorithms for Multi-Robot Networks: A Survey

Autonomous aerial robotics for package delivery: A technical review

Devising a Distributed Co-Simulator for a Multi-UAV Network

Pegasus Simulator: An Isaac Sim Framework for Multiple Aerial Vehicles Simulation

Software Rejuvenation for Secure Tracking Control

A Comprehensive Review of Recent Research Trends on UAVs


A package to support RL research

Playing Atari with Deep Reinforcement Learning

Dueling Network Architectures for Deep Reinforcement Learning

Prioritized Experience Replay

A Distributional Perspective on Reinforcement Learning

Noisy Networks for Exploration

The Hanabi Challenge: A New Frontier for AI Research


Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series

A Deep Learning Framework Performance Evaluation to Use YOLO in Nvidia Jetson Platform

Run Your 3D Object Detector on NVIDIA Jetson Platforms:A Benchmark Analysis

ElasticTrainer: Speeding Up On-Device Training with Runtime Elastic Tensor Selection

Proceedings of the 21st Annual International Conference on Mobile Systems, Applications and Services

Pedestrian detection model based on Tiny-Yolov3 architecture for wearable devices to visually impaired assistance

ADMarker: A Multi-Modal Federated Learning System for Monitoring Digital Biomarkers of Alzheimer's Disease


Code metrics for Java code by means of static analysis

The Effectiveness of Supervised Machine Learning Algorithms in Predicting Software Refactoring

Why Developers Refactor Source Code: A Mining-based Study

Mock objects for testing java systems

An Exploratory Study of Log Placement Recommendation in an Enterprise System

E-SC4R: Explaining Software Clustering for Remodularisation

Data-Driven Extract Method Recommendations: A Study at ING

A Pragmatic Approach for Hyper-Parameter Tuning in Search-based Test Case Generation

Learning migration models for supporting incremental language migrations of software applications

Instance Space Analysis of Search-Based Software Testing

IEEE Transactions on Software Engineering

An experience-based recommendation system to support migrations of Android applications from Java to Kotlin.


The Virtual Planet Simulator

VPLanet: The Virtual Planet Simulator

Publications of the Astronomical Society of the Pacific

Rotation Period Evolution in Low-mass Binary Stars: The Impact of Tidal Torques and Magnetic Braking

Exomoons in the Habitable Zones of M Dwarfs

On the XUV Luminosity Evolution of TRAPPIST-1

The Contribution of M-dwarf Flares to the Thermal Escape of Potentially Habitable Planet Atmospheres

A Coupled Analysis of Atmospheric Mass Loss and Tidal Evolution in XUV Irradiated Exoplanets: The TRAPPIST-1 Case Study

The Ice Coverage of Earth-like Planets Orbiting FGK Stars

The μ Arae Planetary System: Radial Velocities and Astrometry

Living with a Red Dwarf: X-Ray, UV, and Ca ii Activity–Age Relationships of M Dwarfs


Very fast SPARQL Engine, which can handle very large knowledge graphs like the complete Wikidata, offers context-sensitive autocompletion for SPARQL queries, and allows combination with text search. It's faster than engines like Blazegraph or Virtuoso, especially for queries involving large result sets.

Neural Architecture for Question Answering Using a Knowledge Graph and Web Corpus

Efficient SPARQL Autocompletion via SPARQL

Efficient and Effective SPARQL Autocompletion on Very Large Knowledge Graphs

Proceedings of the 31st ACM International Conference on Information & Knowledge Management

MMEAD: MS MARCO Entity Annotations and Disambiguations

Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval


A cancer immunotherapy tools suite

Accounting for proximal variants improves neoantigen prediction

Computational cancer neoantigen prediction: current status and recent advances

Immunogenomic analysis of human brain metastases reveals diverse immune landscapes across genetically distinct tumors


Lepton is a tool and file format for losslessly compressing JPEGs by an average of 22%.

Droplet: Decentralized Authorization and Access Control for Encrypted Data Streams

The Design, Implementation, and Deployment of a System to Transparently Compress Hundreds of Petabytes of Image Files for a File-Storage Service

Droplet: Decentralized Authorization for IoT Data Streams


scikit-mobility: mobility analysis in Python

(So) Big Data and the transformation of the city

International Journal of Data Science and Analytics

PCT-TEE: Trajectory-based Private Contact Tracing System with Trusted Execution Environment

Deep Learning for Trajectory Data Management and Mining: A Survey and
  Beyond


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


Federated Learning Simulator (FLSim) is a flexible, standalone core library that simulates FL settings with a minimal, easy-to-use API. FLSim is domain-agnostic and accommodates many use cases such as vision and text.

Where to Begin? On the Impact of Pre-Training and Initialization in Federated Learning

Towards Fair Federated Recommendation Learning: Characterizing the Inter-Dependence of System and Data Heterogeneity

CANIFE: Crafting Canaries for Empirical Privacy Measurement in Federated Learning

FLAIM: AIM-based Synthetic Data Generation in the Federated Setting

Group Personalized Federated Learning

UniFed: All-In-One Federated Learning Platform to Unify Open-Source Frameworks

Fingerprint Attack: Client De-Anonymization in Federated Learning

Secure and Verifiable Data Collaboration with Low-Cost Zero-Knowledge Proofs


glmmTMB

glmmTMB Balances Speed and Flexibility Among Packages for Zero-inflated Generalized Linear Mixed Modeling

Modeling zero-inflated count data with glmmTMB

Loneliness, physical activity, and mental health during COVID-19: a longitudinal analysis of depression and anxiety in adults over the age of 50 between 2015 and 2020

What Makes a Link Successful on Wikipedia?

Pitfalls during in silico prediction of primer specificity for eDNA surveillance

Better together? How intergroup associations affect energy balance and feeding behavior in wild bonobos

Remote sensing in seagrass ecology: coupled dynamics between migratory herbivorous birds and intertidal meadows observed by satellite during four decades

Remote Sensing in Ecology and Conservation

Knowing the fishery to know the bycatch: bias-corrected estimates of harbour porpoise bycatch in gillnet fisheries

Biases in parasite biodiversity research: why some helminth species attract more research than others

International journal for parasitology. Parasites and wildlife

Prior associations affect bumblebees’ generalization performance in a tool-selection task


Genome-scale protein function classification

The InterPro protein families and domains database: 20 years on

The Chloroplast Genome of Utricularia reniformis Sheds Light on the Evolution of the ndh Gene Complex of Terrestrial Carnivorous Plants from the Lentibulariaceae Family

The genome of Nautilus pompilius illuminates eye evolution and biomineralization

Metagenomics Shines Light on the Evolution of "Sunscreen" Pigment Metabolism in the Teloschistales (Lichen-Forming Ascomycota)

Enterococcus faecium Regulates Honey Bee Developmental Genes

International journal of molecular sciences

Genomic variation reveals demographic history and biological adaptation of the ancient relictual, lotus (Nelumbo Adans.)

Characterization of Growth Morphology and Pathology, and Draft Genome Sequencing of Botrytis fabae, the Causal Organism of Chocolate Spot of Faba Bean (Vicia faba L.)

Cepharanthine analogs mining and genomes of Stephania accelerate anti-coronavirus drug discovery

High-resolution and Deep Phylogenetic Reconstruction of Ancestral States from Large Transcriptomic Data Sets

De Novo Transcriptome Assembly and EST-SSR Marker Development and Application in Chrysosplenium macrophyllum


Tools for atmospheric research

An experimental 2D-Var retrieval using AMSR2


Towards Learning Universal Hyperparameter Optimizers with Transformers

Pre-trained Gaussian Processes for Bayesian Optimization

PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning

Improving Training Stability for Multitask Ranking Models in Recommender Systems

Amos: An Adam-style Optimizer with Adaptive Weight Decay towards Model-Oriented Scale

Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers.


An Open-source Toolkit for LLM Development

LLaMA-Adapter: Efficient Fine-tuning of Language Models with Zero-init Attention

LIMA: Less Is More for Alignment

SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language Models

SPHINX-X: Scaling Data and Parameters for a Family of Multi-modal Large
  Language Models

Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale
  Prediction

Composite Backdoor Attacks Against Large Language Models

Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation

TEAL: Tokenize and Embed ALL for Multi-modal Large Language Models

TerDiT: Ternary Diffusion Models with Transformers

Alleviating Distortion in Image Generation via Multi-Resolution Diffusion Models


PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

Non-local Neural Networks

SlowFast Networks for Video Recognition

Multiscale Vision Transformers

X3D: Expanding Architectures for Efficient Video Recognition

Ego4D: Around the World in 3,000 Hours of Egocentric Video

Masked Feature Prediction for Self-Supervised Visual Pre-Training

MViTv2: Improved Multiscale Vision Transformers for Classification and Detection

Masked Autoencoders As Spatiotemporal Learners

UniFormer: Unifying Convolution and Self-attention for Visual Recognition

A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning


Starter code for working with the YouTube-8M dataset.

YouTube-8M: A Large-Scale Video Classification Benchmark

SirenAttack: Generating Adversarial Audio for End-to-End Acoustic Systems

NeXtVLAD: An Efficient Neural Network to Aggregate Frame-level Features for Large-scale Video Classification

A Survey on Cross-domain Recommendation: Taxonomies, Methods, and Future Directions

Deep Triplet Neural Networks with Cluster-CCA for Audio-Visual Cross-Modal Retrieval

Hierarchical Video Frame Sequence Representation with Deep Convolutional Graph Network

Aggregating Frame-level Features for Large-Scale Video Classification

Towards Good Practices for Multi-modal Fusion in Large-scale Video Classification

End-to-End Video Classification with Knowledge Graphs

Multi-attention Networks for Temporal Localization of Video-level Labels


Aqualink.org Ocean Monitoring Application


Pythonic particle-based (super-droplet) warm-rain/aqueous-chemistry cloud microphysics package with box, parcel & 1D/2D prescribed-flow examples in Python, Julia and Matlab

Spanning the Gap From Bulk to Bin: A Novel Spectral Microphysics Method

Journal of Advances in Modeling Earth Systems

On the Design of Monte-Carlo Particle Coagulation Solver Interface: A CPU/GPU Super-Droplet Method Case Study with PySDM


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

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

Distributed Heterogeneous N-Variant Execution

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

Analyzing control flow integrity with LLVM-CFI

Asia-Pacific Computer Systems Architecture Conference

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

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

MultiK: A Framework for Orchestrating Multiple Specialized Kernels

ROPNN: Detection of ROP Payloads Using Deep Neural Networks

Breaking and Fixing Destructive Code Read Defenses

Survey of Methods for Automated Code-Reuse Exploit Generation

Труды Института системного программирования РАН

Using Name Confusion to Enhance Security


Electrophys Feature Extraction Library

BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience

The physiological variability of channel density in hippocampal CA1 pyramidal cells and interneurons explored using a unified data-driven modeling workflow

Human Cortical Pyramidal Neurons: From Spines to Spikes via Models

The microcircuits of striatum in silico

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

Parameter tuning differentiates granule cell subtypes enriching transmission properties at the cerebellum input stage

Experimentally-constrained biophysical models of tonic and burst firing modes in thalamocortical neurons

Single Neuron Optimization as a Basis for Accurate Biophysical Modeling: The Case of Cerebellar Granule Cells

Combining hypothesis- and data-driven neuroscience modeling in FAIR workflows

Cerebellar Golgi cell models predict dendritic processing and mechanisms of synaptic plasticity

Large-scale biophysically detailed model of somatosensory thalamocortical circuits in NetPyNE


A PyTorch Library for Meta-learning Research

Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks

Prototypical Networks for Few-shot Learning

On First-Order Meta-Learning Algorithms

Meta-Learning with Differentiable Convex Optimization

Meta-SGD: Learning to Learn Quickly for Few-Shot Learning

Meta-learning with differentiable closed-form solvers

A Baseline for Few-Shot Image Classification

ProMP: Proximal Meta-Policy Search

Generalized Inner Loop Meta-Learning

A Near-Optimal Algorithm for Stochastic Bilevel Optimization via Double-Momentum


(New version is out: https://github.com/hpi-xnor/BMXNet-v2) BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet

XNOR-Net: ImageNet Classification Using Binary Convolutional Neural Networks

DoReFa-Net: Training Low Bitwidth Convolutional Neural Networks with Low Bitwidth Gradients

Binarized Neural Networks: Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

Machine Learning at the Network Edge: A Survey


A Julia Basket of Hand-Picked Krylov Methods

BiLQ: An Iterative Method for Nonsymmetric Linear Systems with a Quasi-Minimum Error Property

Resolving entropy growth from iterative methods

TriCG and TriMR: Two Iterative Methods for Symmetric Quasi-Definite Systems

GPMR: An Iterative Method for Unsymmetric Partitioned Linear Systems


The analysis repository for the Open Pediatric Brain Tumor Atlas Project

Macrophages in SHH subgroup medulloblastoma display dynamic heterogeneity that varies with treatment modality

Unsupervised machine learning using K-means identifies radiomic subgroups of pediatric low-grade gliomas that correlate with key molecular markers

OpenPBTA: The Open Pediatric Brain Tumor Atlas

An RNA seq-based reference landscape of human normal and neoplastic brain

bioRxiv : the preprint server for biology

The Open Pediatric Cancer Project

Revealing Pan-Histology Immunomodulatory Targets in Pediatric Central Nervous System Tumors

Somatic structural variation signatures in pediatric brain tumors

medRxiv : the preprint server for health sciences


node security platform command-line tool

Towards Measuring Supply Chain Attacks on Package Managers for Interpreted Languages

Challenging Machine Learning Algorithms in Predicting Vulnerable JavaScript Functions

Measuring and Preventing Supply Chain Attacks on Package Managers.

Examining the Capacity of Text Mining and Software Metrics in Vulnerability Prediction

Improving Vulnerability Prediction of JavaScript Functions Using Process Metrics


The tools for your .cool's

Enhancer–promoter interactions and transcription are largely maintained upon acute loss of CTCF, cohesin, WAPL or YY1

A chromosome folding intermediate at the condensin-to-cohesin transition during telophase

Transcription shapes 3D chromatin organization by interacting with loop extrusion

Cooltools: Enabling high-resolution Hi-C analysis in Python

Liquid chromatin Hi-C characterizes compartment-dependent chromatin interaction dynamics

Suppression of liquid-liquid phase separation by 1,6-hexanediol partially compromises the 3D genome organization in living cells

Conformation of sister chromatids in the replicated human genome

Cohesin mutations alter DNA damage repair and chromatin structure and create therapeutic vulnerabilities in MDS/AML

Order and stochasticity in the folding of individual Drosophila genomes

Reorganized 3D Genome Structures Support Transcriptional Regulation in Mouse Spermatogenesis


ChIP-seq peak-calling, QC and differential analysis pipeline.

Dynamic transcriptional reprogramming leads to immunotherapeutic vulnerabilities in myeloma

Lotaru: Locally Estimating Runtimes of Scientific Workflow Tasks in Heterogeneous Clusters

International Conference on Statistical and Scientific Database Management

Functional, structural, and molecular characterizations of the leukemogenic driver MEF2D-HNRNPUL1 fusion

A distinct core regulatory module enforces oncogene expression in KMT2A-rearranged leukemia

Reshi: Recommending Resources for Scientific Workflow Tasks on Heterogeneous Infrastructures

Injury primes mutation-bearing astrocytes for dedifferentiation in later life

Lotaru: Locally predicting workflow task runtimes for resource management on heterogeneous infrastructures

LncRNA TCONS_00323213 Promotes Myogenic Differentiation by Interacting with PKNOX2 to Upregulate MyoG in Porcine Satellite Cells

Leukemia core transcriptional circuitry is a sparsely interconnected hierarchy stabilized by incoherent feed-forward loops

Transcriptional determinants of lipid mobilization in human adipocytes


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

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

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

End-to-End Object Detection with Transformers

Training data-efficient image transformers & distillation through attention

A ConvNet for the 2020s

Emerging Properties in Self-Supervised Vision Transformers

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

SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers

MLP-Mixer: An all-MLP Architecture for Vision

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


Chaos testing, network emulation, and stress testing tool for containers

Why Do My Blockchain Transactions Fail?

Opportunistic Edge Computing: Concepts, opportunities and research challenges

From the Eye of the Storm: An IoT Ecosystem Made of Sensors, Smartphones and UAVs

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

Clustering-based Partitioning for Large Web Graphs

Local Bitcoin Network Simulator for Performance Evaluation using Lightweight Virtualization

Using IoTCloudSamples as a software framework for simulations of edge computing scenarios

Evaluating Permissioned Blockchain Using Stochastic Modeling and Chaos Engineering

A Cyber-HIL for Investigating Control Systems in Ship Cyber Physical Systems Under Communication Issues and Cyber Attacks

A Mirror Environment to Produce Artificial Intelligence Training Data


NViSII: A Scriptable Tool for Photorealistic Image Generation

GPU-based Data-parallel Rendering of Large, Unstructured, and Non-convexly Partitioned Data

Mochi: Fast & Exact Collision Detection


An all-in-one toolkit for computer vision

Deep Residual Learning for Image Recognition

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

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

A Simple Framework for Contrastive Learning of Visual Representations

End-to-End Object Detection with Transformers

Momentum Contrast for Unsupervised Visual Representation Learning

Masked Autoencoders Are Scalable Vision Learners

Training data-efficient image transformers & distillation through attention

FCOS: Fully Convolutional One-Stage Object Detection

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


Import, manipulate and explore the results of an Antares simulation


Interface to the Mosek solver in Julia

Power Market Tool (POMATO) for the Analysis of Zonal Electricity Markets

Exact SDP relaxations for quadratic programs with bipartite graph structures

Safe Feedback Motion Planning: A Contraction Theory and ℒ_1-Adaptive Control Based Approach

Electricity and Reserve Pricing in Chance-Constrained Electricity Markets with Asymmetric Balancing Reserve Policies


The Visualization Multitool for Molecular Epidemiology and Bioinformatics

MicrobeTrace: Retooling molecular epidemiology for rapid public health response

Evaluation of an ensemble-based distance statistic for clustering MLST datasets using epidemiologically defined clusters of cyclosporiasis

Investigation of US Cyclospora cayetanensis outbreaks in 2019 and evaluation of an improved Cyclospora genotyping system against 2019 cyclosporiasis outbreak clusters

The Role of Phylogenetics in Unravelling Patterns of HIV Transmission towards Epidemic Control: The Quebec Experience (2002–2020)

Employing Molecular Phylodynamic Methods to Identify and Forecast HIV Transmission Clusters in Public Health Settings: A Qualitative Study

Molecular Epidemiology of the HIV-1 Subtype B Sub-Epidemic in Bulgaria

HantaNet: A New MicrobeTrace Application for Hantavirus Classification, Genomic Surveillance, Epidemiology and Outbreak Investigations

High Genetic Diversity of HIV-1 and Active Transmission Clusters among Male-to-Male Sexual Contacts (MMSCs) in Zhuhai, China


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

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

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

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

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

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

Combining learning and optimization for transprecision computing

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


A new data structure for accurate on-line accumulation of rank-based statistics such as quantiles and trimmed means

Computing Extremely Accurate Quantiles Using t-Digests

Moment-Based Quantile Sketches for Efficient High Cardinality Aggregation Queries

On the Runtime-Efficacy Trade-off of Anomaly Detection Techniques for Real-Time Streaming Data

QDS-COVID: A visual analytics system for interactive exploration of millions of COVID-19 healthcare records in Brazil

Circllhist - A Log-Linear Histogram Data Structure for IT Infrastructure Monitoring.

Asymmetric scale functions for t-digests


A massively-parallel, block-sparse tensor framework written in C++

Relativistic internally contracted multireference electron correlation methods.

Journal of chemical theory and computation

Scalable task-based algorithm for multiplication of block-rank-sparse matrices

Irregular Applications: Architectures and Algorithms

Clustered Low-Rank Tensor Format: Introduction and Application to Fast Construction of Hartree-Fock Exchange.

PASTA: A Parallel Sparse Tensor Algorithm Benchmark Suite

The landscape of software for tensor computations

Efficient evaluation of exact exchange for periodic systems via concentric atomic density fitting.

TeNeS: Tensor network solver for quantum lattice systems

Task-Based Algorithm for Matrix Multiplication: A Step Towards Block-Sparse Tensor Computing

Minimum Cost Loop Nests for Contraction of a Sparse Tensor with a Tensor Network

Deinsum: Practically I/O Optimal Multi-Linear Algebra


DP3: streaming processing pipeline for radio interferometric data

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

Monthly Notices of the Royal Astronomical Society

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


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

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

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

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

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

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

NewsEmbed: Modeling News through Pre-trained Document Representations

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

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

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

Interactively Learning Social Media Representations Improves News Source Factuality Detection


ELKI Data Mining Toolkit

Modern hierarchical, agglomerative clustering algorithms

Precision-Recall-Gain Curves: PR Analysis Done Right

Faster k-Medoids Clustering: Improving the PAM, CLARA, and CLARANS Algorithms

Barnes-Hut-SNE

A Framework for Clustering Uncertain Data

Fast and Provably Good Seedings for k-Means

Fast and Eager k-Medoids Clustering: O(k) Runtime Improvement of the PAM, CLARA, and CLARANS Algorithms

Fast K-Means with Accurate Bounds

ELKI: A large open-source library for data analysis - ELKI Release 0.7.5 "Heidelberg"

Improving the Cluster Structure Extracted from OPTICS Plots


:clipboard: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset

LinkBERT: Pretraining Language Models with Document Links

BioELECTRA:Pretrained Biomedical text Encoder using Discriminators

Workshop on Biomedical Natural Language Processing

Claim Extraction in Biomedical Publications using Deep Discourse Model and Transfer Learning

COVID-19 research risks ignoring important host genes due to pre-established research patterns

VIST - a Variant-Information Search Tool for precision oncology

The MeSH-gram Neural Network Model: Extending Word Embedding Vectors with MeSH Concepts for UMLS Semantic Similarity and Relatedness in the Biomedical Domain

Enriching Biomedical Knowledge for Low-resource Language Through Large-Scale Translation

A Personalized Machine-Learning-enabled Method for Efficient Research in Ethnopharmacology. The case of Southern Balkans and Coastal zone of Asia Minor


A unified framework for 3D content generation.

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

Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation

Latent-NeRF for Shape-Guided Generation of 3D Shapes and Textures

MVDream: Multi-view Diffusion for 3D Generation

LRM: Large Reconstruction Model for Single Image to 3D

TextMesh: Generation of Realistic 3D Meshes From Text Prompts

DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation

DreamAvatar: Text-and-Shape Guided 3D Human Avatar Generation via Diffusion Models

One-2-3-45++: Fast Single Image to 3D Objects with Consistent Multi-View Generation and 3D Diffusion

Debiasing Scores and Prompts of 2D Diffusion for View-consistent Text-to-3D Generation


RISC-V Tools (ISA Simulator and Tests)

A RISC-V SystemC-TLM simulator

Lightweight Software-Defined Error Correction for Memories


A pipeflow calculation tool that complements pandapower in the simulation of multi energy grids


Generic Java genotype reader / writer, QTL mapping software, Strand alignment tool

Large-scale cis- and trans-eQTL analyses identify thousands of genetic loci and polygenic scores that regulate blood gene expression

Improving the diagnostic yield of exome- sequencing by predicting gene–phenotype associations using large-scale gene expression analysis

Cell Specific eQTL Analysis without Sorting Cells

Brain expression quantitative trait locus and network analyses reveal downstream effects and putative drivers for brain-related diseases

Pathogenic implications for autoimmune mechanisms derived by comparative eQTL analysis of CD4+ versus CD8+ T cells

Deconvolution of bulk blood eQTL effects into immune cell subpopulations

Mendelian Randomization analysis reveals a causal influence of circulating sclerostin levels on bone mineral density and fractures

Inter-Tissue Gene Co-Expression Networks between Metabolically Healthy and Unhealthy Obese Individuals

Single-Cell Dissection of the Immune Response After Acute Myocardial Infarction

Common Germline Risk Variants Impact Somatic Alterations and Clinical Features across Cancers


R package for community ecologists: popular ordination methods, ecological null models & diversity analysis

Soil bacterial networks are less stable under drought than fungal networks

Broadscale Ecological Patterns Are Robust to Use of Exact Sequence Variants versus Operational Taxonomic Units

Phylogenetic background and habitat drive the genetic diversification of Escherichia coli

Interactions between soil- and dead wood-inhabiting fungal communities during the decay of Norway spruce logs

Predicting taxonomic and functional structure of microbial communities in acid mine drainage

Legacy Effects on the Recovery of Soil Bacterial Communities from Extreme Temperature Perturbation

Forest tree growth is linked to mycorrhizal fungal composition and function across Europe

Root and Rhizosphere Bacterial Phosphatase Activity Varies with Tree Species and Soil Phosphorus Availability in Puerto Rico Tropical Forest

Featured Gut Microbiomes Associated With the Progression of Chronic Hepatitis B Disease

Best practices on the differential expression analysis of multi-species RNA-seq


An Industrial Graph Neural Network Framework

Graph Neural Networks: A Review of Methods and Applications

Deep Learning on Graphs: A Survey

Graph Neural Networks: Methods, Applications, and Opportunities

Billion-scale Pre-trained E-commerce Product Knowledge Graph Model

The Evolution of Distributed Systems for Graph Neural Networks and Their Origin in Graph Processing and Deep Learning: A Survey


Library for HERA data reduction, including redundant calibration, absolute calibration, and LST-binning.

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

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

Redundant-baseline calibration of the hydrogen epoch of reionization array

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

Array element coupling in radio interferometry I: a semi-analytic approach

On the use of temporal filtering for mitigating galactic synchrotron calibration bias in 21 cm reionization observations


Containerized Automated Radio Astronomy Calibration (CARACal) pipeline

The flickering nuclear activity of Fornax A

AGN feeding and feedback in Fornax A. Kinematical analysis of the multi-phase ISM

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

GASP XXXVIII: The LOFAR-MeerKAT-VLA View on the Nonthermal Side of a Jellyfish Galaxy

A MeerKAT-meets-LOFAR study of MS 1455.0+2232: a 590 kiloparsec 'mini'-halo in a sloshing cool-core cluster

Monthly notices of the Royal Astronomical Society

The MPIfR–MeerKAT Galactic Plane Survey – I. System set-up and early results

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

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

HAL (Le Centre pour la Communication Scientifique Directe)

A first detection of neutral hydrogen intensity mapping on Mpc scales at z≈ 0.32 and z≈ 0.44

A MeerKAT-meets-LOFAR study of Abell 1413: a moderately disturbed
  non-cool-core cluster hosting a ∼ 500 kpc 'mini'-halo


A collection of robotics simulation environments for reinforcement learning

Gymnasium: A Standard Interface for Reinforcement Learning Environments

Causal Reinforcement Learning: A Survey

Challenges for Reinforcement Learning in Quantum Computing

Efficient Sparse-Reward Goal-Conditioned Reinforcement Learning with a High Replay Ratio and Regularization

Learning to Reach Goals via Diffusion

Open-Source Reinforcement Learning Environments Implemented in MuJoCo with Franka Manipulator


GCAM -- The Global Change Analysis Model

A plant-by-plant strategy for high-ambition coal power phaseout in China

GCAM v5.1: Representing the linkages between energy, water, land,
climate, and economic systems

Fusing subnational with national climate action is central to decarbonization: the case of the United States

Air pollution control strategies directly limiting national health damages in the US

The role of direct air capture and negative emissions technologies in the shared socioeconomic pathways towards +1.5 °C and +2 °C futures

The role of negative emissions in meeting China’s 2060 carbon neutrality goal

1 km land use/land cover change of China under comprehensive socioeconomic and climate scenarios for 2020–2100

Impacts of long-term temperature change and variability on electricity investments

Integrated Assessment Modeling of Korea's 2050 Carbon Neutrality Technology Pathways

Evaluating long-term emission impacts of large-scale electric vehicle deployment in the US using a human-Earth systems model


End-to-end NLP workflows from prototype to production

LatinCy: Synthetic Trained Pipelines for Latin NLP

Automated tabulation of clinical trial results: A joint entity and relation extraction approach with transformer-based language representations

COMBO: State-of-the-Art Morphosyntactic Analysis

Multi hash embeddings in spaCy

CO-Fun: A German Dataset on Company Outsourcing in Fund Prospectuses for
  Named Entity Recognition and Relation Extraction


Tools for keeping your cloud operating in top form. Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.

Localizing Faults in Cloud Systems

How bad can a bug get? an empirical analysis of software failures in the OpenStack cloud computing platform

Predicting Failures in Multi-Tier Distributed Systems

The Future of Software Quality Assurance

Enhancing Failure Propagation Analysis in Cloud Computing Systems

ThorFI: A Novel Approach for Network Fault Injection as a Service

Report from GI-Dagstuhl Seminar 16394: Software Performance Engineering in the DevOps World

Using Information Flow to estimate interference between developers same
  method contributions


基于深度学习高性能中文车牌识别 High Performance Chinese License Plate Recognition Framework.

Spot evasion attacks: Adversarial examples for license plate recognition systems with convolutional neural networks

Adversarial Attacks on License Plate Recognition Systems

Computers, materials & continua/Computers, materials & continua (Print)


PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

Diffusion Convolutional Recurrent Neural Network: Data-Driven Traffic Forecasting

T-GCN: A Temporal Graph Convolutional Network for Traffic Prediction

IEEE Transactions on Intelligent Transportation Systems

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition

Connecting the Dots: Multivariate Time Series Forecasting with Graph Neural Networks

GMAN: A Graph Multi-Attention Network for Traffic Prediction

Adaptive Graph Convolutional Recurrent Network for Traffic Forecasting

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Structured Sequence Modeling with Graph Convolutional Recurrent Networks

A3T-GCN: Attention Temporal Graph Convolutional Network for Traffic Forecasting


The Udacity open source self-driving car project

DeepXplore: Automated Whitebox Testing of Deep Learning Systems

Symposium on Operating Systems Principles

DeepTest: Automated Testing of Deep-Neural-Network-driven Autonomous Cars

A Survey of Autonomous Driving: Common Practices and Emerging Technologies

A Survey of Deep Learning Applications to Autonomous Vehicle Control

Efficient Formal Safety Analysis of Neural Networks

Testing machine learning based systems: a systematic mapping

Zenodo (CERN European Organization for Nuclear Research)

Model-Reuse Attacks on Deep Learning Systems

End-to-end Multi-Modal Multi-Task Vehicle Control for Self-Driving Cars with Visual Perception

DeepBillboard: Systematic Physical-World Testing of Autonomous Driving Systems

Few-shot Adaptive Faster R-CNN


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


Image-processing software for cryo-electron microscopy

Molecular Basis for poly(A) RNP Architecture and Recognition by the Pan2-Pan3 Deadenylase

Structural insight into SARS-CoV-2 neutralizing antibodies and modulation of syncytia

Cryogenic electron ptychographic single particle analysis with wide bandwidth information transfer

Structural basis for ion selectivity in potassium-selective channelrhodopsins

Characterization of the rotavirus assembly pathway in situ using cryoelectron tomography

Structural basis of transcription reduction by a promoter-proximal +1 nucleosome

Mechanism of ribosome-associated mRNA degradation during tubulin autoregulation

Mpe1 senses the binding of pre-mRNA and controls 3′ end processing by CPF

GPU Domain Specialization via Composable On-Package Architecture

The role of bivalent ions in the regulation of D-loop extension mediated by DMC1 during meiotic recombination


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


Tools to make weather data accessible and useful.


Probabilistic Inference on Noisy Time Series (PINTS)

Reproducible model development in the cardiac electrophysiology Web Lab

Using flexible noise models to avoid noise model misspecification in inference of differential equation time series models

Analysis of cellular kinetic models suggest that physiologically based model parameters may be inherently, practically unidentifiable

Journal of pharmacokinetics and pharmacodynamics


GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.

Comparing Neuromorphic Solutions in Action: Implementing a Bio-Inspired Solution to a Benchmark Classification Task on Three Parallel-Computing Platforms

An unsupervised neuromorphic clustering algorithm

Loss shaping enhances exact gradient learning with EventProp in Spiking Neural Networks

Estimating numerical error in neural network simulations on Graphics Processing Units

Runtime Construction of Large-Scale Spiking Neuronal Network Models on GPU Devices

Efficient parameter calibration and real-time simulation of large-scale spiking neural networks with GeNN and NEST


DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks

AgEBO-Tabular: Joint Neural Architecture and Hyperparameter Search with Autotuned Data-Parallel Training for Tabular Data

Quantifying uncertainty for deep learning based forecasting and flow-reconstruction using neural architecture search ensembles

Is One Epoch All You Need For Multi-Fidelity Hyperparameter Optimization?


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

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


Maplab: An Open Framework for Research in Visual-Inertial Mapping and Localization

International Conference on Robotics and Automation

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

ADVIO: An authentic dataset for visual-inertial odometry

An open‐source system for vision‐based micro‐aerial vehicle mapping, planning, and flight in cluttered environments

maplab 2.0 -- A Modular and Multi-Modal Mapping Framework

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

A Complete System for Vision-Based Micro-Aerial Vehicle Mapping, Planning, and Flight in Cluttered Environments

Long-term Large-scale Mapping and Localization Using maplab

Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs


Semiempirical Extended Tight-Binding Program Package

Equivariant message passing for the prediction of tensorial properties and molecular spectra

Best Practice DFT Protocols for Basic Molecular Computational Chemistry

Robust Atomistic Modeling of Materials, Organometallic, and Biochemical Systems

GoodVibes: automated thermochemistry for heterogeneous computational chemistry data

OrbNet: Deep learning for quantum chemistry using symmetry-adapted atomic-orbital features

GEOM: Energy-annotated molecular conformations for property prediction and molecular generation

Machine Learning Meets Mechanistic Modelling for Accurate Prediction of Experimental Activation Energies

Informing geometric deep learning with electronic interactions to accelerate quantum chemistry

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

Autonomous Reaction Network Exploration in Homogeneous and Heterogeneous Catalysis

Hot exciplexes in U-shaped TADF molecules with emission from locally excited states


A tool for transcribing orthographic text as IPA (International Phonetic Alphabet)

A Survey on Recent Advances in Named Entity Recognition from Deep Learning models

Phonologically Aware Neural Model for Named Entity Recognition in Low Resource Transfer Settings

Empirical Methods in Natural Language Processing

Modeling Noisiness to Recognize Named Entities using Multitask Neural Networks on Social Media

North American Chapter of the Association for Computational Linguistics

Keyphrase Extraction from Disaster-related Tweets

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

Transliteration for Cross-Lingual Morphological Inflection

Special Interest Group on Computational Morphology and Phonology Workshop

Normalization and Back-Transliteration for Code-Switched Data

Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching

Automatic Data-Driven Approaches for Evaluating the Phonemic Verbal Fluency Task with Healthy Adults

International Conference on Natural Language and Speech Processing

Text-Inductive Graphone-Based Language Adaptation for Low-Resource Speech Synthesis

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

Parser combinators for Tigrinya and Oromo morphology

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

Scaling A Simple Approach to Zero-Shot Speech Recognition


A tool to identify disadvantaged communities due to environmental, socioeconomic and health burdens


A framework for Privacy Preserving Machine Learning

Secure and Robust Machine Learning for Healthcare: A Survey

CrypTen: Secure Multi-Party Computation Meets Machine Learning

When Homomorphic Encryption Marries Secret Sharing: Secure Large-Scale Sparse Logistic Regression and Applications in Risk Control

Fairness in the Eyes of the Data: Certifying Machine-Learning Models

Secure Medical Image Analysis with CrypTFlow

ADI: Adversarial Dominating Inputs in Vertical Federated Learning Systems

Data Appraisal Without Data Sharing

FLVoogd: Robust And Privacy Preserving Federated Learning


Protocol Buffers - Google's data interchange format

Google Scanned Objects: A High-Quality Dataset of 3D Scanned Household Items

Anatomy of High-Performance Deep Learning Convolutions on SIMD Architectures

A Survey on Data Compression Methods for Biological Sequences

Unikraft: Fast, Specialized Unikernels the Easy Way

PROCEEDINGS OF THE SIXTEENTH EUROPEAN CONFERENCE ON COMPUTER SYSTEMS (EUROSYS '21)

Scalable federated machine learning with FEDn

Packaging and Sharing Machine Learning Models via the Acumos AI Open Platform

Cross-Language Learning for Program Classification using Bilateral Tree-Based Convolutional Neural Networks

Torch.fx: Practical Program Capture and Transformation for Deep Learning in Python

Following the Data, Not the Function: Rethinking Function Orchestration in Serverless Computing

Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization


Atlite: A Lightweight Python Package for Calculating Renewable Power Potentials and Time Series

PyPSA-Eur: An open optimisation model of the European transmission system

An autopilot for energy models -- automatic generation of renewable supply curves, hourly capacity factors and hourly synthetic electricity demand for arbitrary world regions

Benefits from Islanding Green Hydrogen Production

On the means, costs, and system-level impacts of 24/7 carbon-free energy
  procurement


This repository is for developing study packages for OHDSI studies. Once completed, they can be moved to the StudyProtocols repository.

Feasibility and Evaluation of a Large-Scale External Validation Approach for Patient-Level Prediction in an International Data Network: Validation of models predicting stroke in female patients newly diagnosed with atrial fibrillation.

Identifying the DEAD: Development and Validation of a Patient-Level Model to Predict Death Status in Population-Level Claims Data

Inferring disease severity in rheumatoid arthritis using predictive modeling in administrative claims databases

Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality

Supplementing claims data analysis using self-reported data to develop a probabilistic phenotype model for current smoking status


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


Platform for storing and exploring sensor data


The integrated assessment and energy systems model MESSAGEix

Long-term economic benefits of stabilizing warming without overshoot – the ENGAGE model intercomparison

d2ix: A Model Input-Data Management and Analysis Tool for MESSAGEix


The Earth System Modeling Framework (ESMF) is a suite of software tools for developing high-performance, multi-component Earth science modeling applications.

The emergence of modern zoogeographic regions in Asia examined through climate–dental trait association patterns


An implementation framework for a P4Runtime server

A survey on data plane programming with P4: Fundamentals, advances, and applied research

An Exhaustive Survey on P4 Programmable Data Plane Switches: Taxonomy, Applications, Challenges, and Future Trends

P4K: A Formal Semantics of P4 and Applications

P4-IPsec: Implementation of IPsec Gateways in P4 with SDN Control for Host-to-Site Scenarios


Python library for Representational Similarity Analysis

Beyond core object recognition: Recurrent processes account for object recognition under occlusion

Value generalization in human avoidance learning

Comparing representational geometries using whitened unbiased-distance-matrix similarity

Statistical inference on representational geometries

Stability of motor representations after paralysis

S1 represents multisensory contexts and somatotopic locations within and outside the bounds of the cortical homunculus

Shared neural representations and temporal segmentation of political content predict ideological similarity

Prediction error processing and sharpening of expected information across the face-processing hierarchy

Evidence for shared conceptual representations for sign and speech

Does Ipsilateral Remapping Following Hand Loss Impact Motor Control of the Intact Hand?


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


An open-source post-exploitation framework for students, researchers and developers.

Two-Stage Intelligent Model for Detecting Malicious DDoS Behavior

An Efficient Framework for Detection and Classification of IoT Botnet Traffic

Trusted Multi-Domain DDoS Detection Based on Federated Learning

The SEED Internet Emulator and Its Applications in Cybersecurity Education


: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

Detecting Teeth Defects on Automotive Gears Using Deep Learning


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

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

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


Feature flippers.

Software development with feature toggles: practices used by practitioners

Feature Toggle Driven Development: Practices usedby Practitioners.


An implementation of Scalable service-Oriented MiddlewarE over IP

A Service-Oriented Real-Time Communication Scheme for AUTOSAR Adaptive Using OPC UA and Time-Sensitive Networking

An Authentication and Secure Communication Scheme for In-Vehicle Networks Based on SOME/IP

Design of a CANFD to SOME/IP Gateway Considering Security for In-Vehicle Networks

Protecting SOME/IP Communication via Authentication Ticket

Authenticated and Secure Automotive Service Discovery with DNSSEC and DANE


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


Making Protein folding accessible to all!

ColabFold - Making protein folding accessible to all

Splicing QTL analysis focusing on coding sequences reveals mechanisms for disease susceptibility loci

Structural basis for ATG9A recruitment to the ULK1 complex in mitophagy initiation

A hyperpromiscuous antitoxin protein domain for the neutralization of diverse toxin domains

Open-Source Machine Learning in Computational Chemistry

Journal of chemical information and modeling

From interaction networks to interfaces, scanning intrinsically disordered regions using AlphaFold2

Phosphoregulation of DSB-1 mediates control of meiotic double-strand break activity

Mechanism of ribosome-associated mRNA degradation during tubulin autoregulation

TMEM161B regulates cerebral cortical gyration, Sonic Hedgehog signaling, and ciliary structure in the developing central nervous system

Cell type-specific delivery by modular envelope design


OpenML AutoML Benchmarking Framework

An Open Source AutoML Benchmark

TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second

OpenML Benchmarking Suites

AMLB: an AutoML Benchmark

LightAutoML: AutoML Solution for a Large Financial Services Ecosystem

Mining Robust Default Configurations for Resource-constrained AutoML


Collaborative data curation for Glottolog

Robust, Causal, and Incremental Approaches to Investigating Linguistic Adaptation

A Machine Learning-based Segmentation Approach for Measuring Similarity between Sign Languages

Geographically-Informed Language Identification


ColBERT: state-of-the-art neural search (SIGIR'20, TACL'21, NeurIPS'21, NAACL'22, CIKM'22, ACL'23, EMNLP'23)

ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT

ColBERTv2: Effective and Efficient Retrieval via Lightweight Late Interaction

Learning Passage Impacts for Inverted Indexes

Relevance-guided Supervision for OpenQA with ColBERT

How to Train Your DRAGON: Diverse Augmentation Towards Generalizable Dense Retrieval

PLAID: An Efficient Engine for Late Interaction Retrieval

Baleen: Robust Multi-Hop Reasoning at Scale via Condensed Retrieval

Making a MIRACL: Multilingual Information Retrieval Across a Continuum of Languages

Transfer Learning Approaches for Building Cross-Language Dense Retrieval Models

Are Neural Ranking Models Robust?


ROS# is a set of open source software libraries and tools in C# for communicating with ROS from .NET applications, in particular Unity3D

SIGVerse: A Cloud-Based VR Platform for Research on Multimodal Human-Robot Interaction

SEAN: Social Environment for Autonomous Navigation

Spatial Computing and Intuitive Interaction: Bringing Mixed Reality and Robotics Together

Accuracy and Repeatability Tests on HoloLens 2 and HTC Vive

Using Socially Expressive Mixed Reality Arms for Enhancing Low-Expressivity Robots

Augmented-Reality-Based Visualization of Navigation Data of Mobile Robots on the Microsoft Hololens -- Possibilities and Limitations

Design and Evaluation of an Augmented Reality Head-mounted Display Interface for Human Robot Teams Collaborating in Physically Shared Manufacturing Tasks

Programming Robots by Demonstration Using Augmented Reality

"Grip-that-there": An Investigation of Explicit and Implicit Task Allocation Techniques for Human-Robot Collaboration

Integrating Virtual Reality and Robotic Operation System (ROS) for AGV Navigation

EAI Endorsed Transactions on AI and Robotics


The OpenWayback Development

ArchiveSpark: Efficient Web Archive Access, Extraction and Derivation

MementoMap Framework for Flexible and Adaptive Web Archive Profiling

Archive Assisted Archival Fixity Verification Framework

Difficulties of Timestamping Archived Web Pages

On the Applicability of Delicious for Temporal Search on Web Archives

SIGIR'16: PROCEEDINGS OF THE 39TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL

The Case For Alternative Web Archival Formats To Expedite The Data-To-Insight Cycle

ACM/IEEE Joint Conference on Digital Libraries

Right HTML, Wrong JSON: Challenges in Replaying Archived Webpages Built with Client-Side Rendering

Collecting 16K archived web pages from 17 public web archives

Full-Text and URL Search Over Web Archives

Impact of HTTP Cookie Violations in Web Archives


Bayesian Light Source Separator

Variational Inference for Deblending Crowded Starfields


The Ocean Navigator is an online tool that is used to help visualise scientific research data. a users guide is available at https://dfo-ocean-navigator.github.io/Ocean-Navigator-Manual/ and the tool is live at


COMPAS rapid binary population synthesis code

Cygnus X-1 contains a 21–solar mass black hole—Implications for massive star winds

Impact of massive binary star and cosmic evolution on gravitational wave observations I: black hole-neutron star mergers

Monthly notices of the Royal Astronomical Society

The role of mass transfer and common envelope evolution in the formation of merging binary black holes

Polluting the pair-instability mass gap for binary black holes through super-Eddington accretion in isolated binaries

Zenodo (CERN European Organization for Nuclear Research)

The Redshift Evolution of the Binary Black Hole Merger Rate: A Weighty Matter

Simple recipes for compact remnant masses and natal kicks

Monthly Notices of the Royal Astronomical Society

Rapid Stellar and Binary Population Synthesis with COMPAS

Impact of Massive Binary Star and Cosmic Evolution on Gravitational Wave
  Observations II: Double Compact Object Rates and Properties

Massive Stellar Triples Leading to Sequential Binary Black Hole Mergers in the Field

Binary population synthesis with probabilistic remnant mass and kick prescriptions


A federated learning framework to support scalable and reproducible research

Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies

Pisces: Efficient Federated Learning via Guided Asynchronous Training

FedTrip: A Resource-Efficient Federated Learning Method with Triplet Regularization

FedFair^3: Unlocking Threefold Fairness in Federated Learning

PerFedRLNAS: One-for-All Personalized Federated Neural Architecture Search

THIRTY-EIGHTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, VOL 38 NO 15


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


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


D-Wave Systems extension of the NetworkX Python package for graphs and graph algorithms.

Benchmarking Advantage and D-Wave 2000Q quantum annealers with exact cover problems

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

Comparing Three Generations of D-Wave Quantum Annealers for Minor Embedded Combinatorial Optimization Problems

4-clique Network Minor Embedding for Quantum Annealers


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

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

BESMod - A Modelica Library providing Building Energy System Modules

Linköping electronic conference proceedings


Carbon-Oxygen Phase Separation in MESA White Dwarf Models

The White Dwarf Mass-Orbital Period Relation Under Wind Mass Loss

Exploring the Chemistry and Mass Function of the Globular Cluster 47 Tucanae with New Theoretical Color-Magnitude Diagrams

From ZAMS to Merger: Detailed Binary Evolution Models of Coalescing Neutron Star-Black Hole Systems at Solar Metallicity

Testing Modules for Experiments in Stellar Astrophysics (MESA)


Persian NLP Toolkit

ParsBERT: Transformer-based Model for Persian Language Understanding

Parsivar: A Language Processing Toolkit for Persian

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

FarsTail: A Persian Natural Language Inference Dataset

Content analysis of Persian/Farsi Tweets during COVID-19 pandemic in Iran using NLP

On the Importance of Ezafe Construction in Persian Parsing

PROCEEDINGS OF THE 53RD ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL) AND THE 7TH INTERNATIONAL JOINT CONFERENCE ON NATURAL LANGUAGE PROCESSING (IJCNLP), VOL 2

Learning Multilingual Topics from Incomparable Corpus

A Machine Learning Approach to Persian Text Readability Assessment Using a Crowdsourced Dataset

Building a Morphological Network for Persian on Top of a Morpheme-Segmented Lexicon

Supervised Morphological Segmentation Using Rich Annotated Lexicon

Recent Advances in Natural Language Processing

Offensive Language Detection with BERT-based models, By Customizing Attention Probabilities


Learning to Rank in TensorFlow

TF-Ranking: Scalable TensorFlow Library for Learning-to-Rank

SetRank: Learning a Permutation-Invariant Ranking Model for Information Retrieval

Learning-to-Rank with BERT in TF-Ranking

Learning Groupwise Multivariate Scoring Functions Using Deep Neural Networks

PROCEEDINGS OF THE 2019 ACM SIGIR INTERNATIONAL CONFERENCE ON THEORY OF INFORMATION RETRIEVAL (ICTIR'19)

A Neural Pairwise Ranking Model for Readability Assessment

PiRank: Scalable Learning To Rank via Differentiable Sorting

ILMART: Interpretable Ranking with Constrained LambdaMART

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

Clones in deep learning code: what, where, and why?

Automatic Compilation of Resources for Academic Writing and Evaluating with Informal Word Identification and Paraphrasing System

RD-Suite: A Benchmark for Ranking Distillation


Deep and online learning with spiking neural networks in Python

Training Spiking Neural Networks Using Lessons From Deep Learning

Splitting physics-informed neural networks for inferring the dynamics of integer- and fractional-order neuron models

Design Space Exploration of Sparsity-Aware Application-Specific Spiking Neural Network Accelerators

SQUAT: Stateful Quantization-Aware Training in Recurrent Spiking Neural Networks

PULSE: Parametric Hardware Units for Low-power Sparsity-Aware
  Convolution Engine


Surrogate Modeling Toolbox

Gradient-enhanced kriging for high-dimensional problems

Implicit differentiation of Lasso-type models for hyperparameter optimization

SMT 2.0: A Surrogate Modeling Toolbox with a focus on hierarchical and mixed variables Gaussian processes

Deep Gaussian Process Emulation using Stochastic Imputation

Effectively using multifidelity optimization for wind turbine design

A mixed-categorical correlation kernel for Gaussian process

Optimization of Fiber Orientation Model Parameters in the Presence of Flow-Fiber Coupling

Large-Scale Path-Dependent Optimization of Supersonic Aircraft

Aerostructural Wing Optimization of a Regional Jet Considering Mission Fuel Burn

High-dimensional multidisciplinary design optimization for aircraft
  eco-design / Optimisation multi-disciplinaire en grande dimension pour
  l'éco-conception avion en avant-projet


Open source framework for ocean trajectory modelling

Circulation of the European northwest shelf: a Lagrangian perspective

OpenDrift v1.0: a generic framework for trajectory modeling

Operational Modeling of North Aegean Oil Spills Forced by Real-Time Met-Ocean Forecasts

Journal of Marine Science and Engineering

Pathways and Water Mass Transformation Along and Across the Mohn‐Knipovich Ridge in the Nordic Seas

ChemicalDrift 1.0: an open-source Lagrangian chemical-fate and transport model for organic aquatic pollutants

Modes of Operation and Forcing in Oil Spill Modeling: State-of-Art, Deficiencies and Challenges

EnviRisk – Automated Environmental Risk Assessment for Ship Traffic in Norwegian Waters

International Oil Spill Conference Proceedings


ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator

IntelliCode Compose: Code Generation Using Transformer

Towards Fast, Accurate and Stable 3D Dense Face Alignment

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results

DeepSpeed- Inference: Enabling Efficient Inference of Transformer Models at Unprecedented Scale

TurboTransformers: An Efficient GPU Serving System For Transformer Models

The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Speech Quality and Testing Framework

NNSmith: Generating Diverse and Valid Test Cases for Deep Learning Compilers

End-to-end Optimization of Machine Learning Prediction Queries

Proceedings of the 2022 International Conference on Management of Data

Cloudy with high chance of DBMS: A 10-year prediction for Enterprise-Grade ML

Detect Faces Efficiently: A Survey and Evaluations

IEEE Transactions on Biometrics, Behavior, and Identity Science