Accurate sample inference from amplicon data with single nucleotide resolution

DADA2: High-resolution sample inference from Illumina amplicon data

High-throughput amplicon sequencing of the full-length 16S rRNA gene with single-nucleotide resolution

The use of next generation sequencing for improving food safety: Translation into practice

Host genetic selection for cold tolerance shapes microbiome composition and modulates its response to temperature

Amplicon Sequence Variants Artificially Split Bacterial Genomes into Separate Clusters

Global radiation in a rare biosphere soil diatom

Dysbiosis and early mortality in zebrafish larvae exposed to subclinical concentrations of streptomycin

Exposure to Arsenic Alters the Microbiome of Larval Zebrafish

Development of a Blocking Primer to Inhibit the PCR Amplification of the 18S rDNA Sequences of Litopenaeus vannamei and Its Efficacy in Crassostrea hongkongensis

The Influences of Bioinformatics Tools and Reference Databases in Analyzing the Human Oral Microbial Community


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

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

International Conference on Acoustics, Speech, and Signal Processing

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

IEEE/ACM Transactions on Audio, Speech, and Language Processing

Far-Field Automatic Speech Recognition

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

L-SpEx: Localized Target Speaker Extraction

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

MLCA-AVSR: Multi-Layer Cross Attention Fusion Based Audio-Visual Speech Recognition

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

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

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


Berkeley's Spatial Array Generator

I-BERT: Integer-only BERT Quantization

Gemmini: Enabling Systematic Deep-Learning Architecture Evaluation via Full-Stack Integration

Power-Intent Systolic Array Using Modified Parallel Multiplier for Machine Learning Acceleration

DOSA: Differentiable Model-Based One-Loop Search for DNN Accelerators

Carry-Propagation-Adder-Factored Gemmini Systolic Array for Machine Learning Acceleration

Deep Learning Accelerators’ Configuration Space Exploration Effect on Performance and Resource Utilization: A Gemmini Case Study

Iterative Filter Pruning for Concatenation-based CNN Architectures


smali/baksmali

On the effectiveness of system API-related information for Android ransomware detection

Research on Third-Party Libraries in Android Apps: A Taxonomy and Systematic Literature Review

Smart at what cost? Characterising Mobile Deep Neural Networks in the wild

A Novel Hybrid Method to Analyze Security Vulnerabilities in Android Applications

ACMiner: Extraction and Analysis of Authorization Checks in Android's Middleware

You Shall not Repackage! Demystifying Anti-Repackaging on Android

A Systematic Overview of Android Malware Detection

DroidbotX: Test Case Generation Tool for Android Applications Using Q-Learning

Towards a fair comparison and realistic evaluation framework of android malware detectors based on static analysis and machine learning

Mate! Are You Really Aware? An Explainability-Guided Testing Framework for Robustness of Malware Detectors


Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

Waste detection in Pomerania: non-profit project for detecting waste in environment

EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning

Hate Speech in Pixels: Detection of Offensive Memes towards Automatic Moderation

Improving Adversarial Robustness via Unlabeled Out-of-Domain Data

Efficient Super Resolution For Large-Scale Images Using Attentional GAN

Best of both worlds: local and global explanations with human-understandable concepts

Task-Agnostic Object Recognition for Mobile Robots through Few-Shot Image Matching

An Application for Aesthetic Quality Assessment in Photography with Interpretability Features

Investigating response time and accuracy in online classifier learning for multimedia publish-subscribe systems

Semantics Preserving Hierarchy based Retrieval of Indian heritage monuments


Language Technology Platform

TENER: Adapting Transformer Encoder for Named Entity Recognition

Event-Driven Emotion Cause Extraction with Corpus Construction

Molding CNNs for text: non-linear, non-consecutive convolutions

N-LTP: An Open-source Neural Language Technology Platform for Chinese

Chinese Medical Question Answer Matching Using End-to-End Character-Level Multi-Scale CNNs

A Reinforced Generation of Adversarial Examples for Neural Machine Translation

Hierarchical Chinese Legal event extraction via Pedal Attention Mechanism

International Conference on Computational Linguistics

A Reinforced Generation of Adversarial Samples for Neural Machine Translation

The USTC-NELSLIP Offline Speech Translation Systems for IWSLT 2022

Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)

fastHan: A BERT-based Multi-Task Toolkit for Chinese NLP


trends.earth - measure land change


RISC-V Tools (ISA Simulator and Tests)

A RISC-V SystemC-TLM simulator

Lightweight Software-Defined Error Correction for Memories


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

MVDream: Multi-view Diffusion for 3D Generation

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

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

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

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

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


LightLLM is a Python-based LLM (Large Language Model) inference and serving framework, notable for its lightweight design, easy scalability, and high-speed performance.

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

A Survey of Resource-efficient LLM and Multimodal Foundation Models

Taming Throughput-Latency Tradeoff in LLM Inference with Sarathi-Serve

A Survey on Efficient Inference for Large Language Models

QServe: W4A8KV4 Quantization and System Co-design for Efficient LLM Serving

LoongServe: Efficiently Serving Long-context Large Language Models with
  Elastic Sequence Parallelism

Applications of Large Scale Foundation Models for Autonomous Driving

SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

Dissecting the Runtime Performance of the Training, Fine-tuning, and Inference of Large Language Models


The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs

Format abstraction for sparse tensor algebra compilers

Proceedings of the ACM on Programming Languages

A sparse iteration space transformation framework for sparse tensor algebra

Automatic generation of efficient sparse tensor format conversion routines

Programming Language Design and Implementation

Polyhedral Specification and Code Generation of Sparse Tensor Contraction with Co-iteration

Compiling Structured Tensor Algebra

CoNST: Code Generator for Sparse Tensor Networks


Driven similarity renormalization group: Third-order multireference perturbation theory

Automatic derivation of many-body theories based on general Fermi vacua

Analytic energy gradients for the driven similarity renormalization group multireference second-order perturbation theory

Analytical Gradient Theory for Spin-Free State-Averaged Second-Order Driven Similarity Renormalization Group Perturbation Theory (SA-DSRG-MRPT2) and Its Applications for Conical Intersection Optimizations

Forte: A Suite of Advanced Multireference Quantum Chemistry Methods

Frozen Natural Orbitals for the State-Averaged Driven Similarity Renormalization Group


INDRA (Integrated Network and Dynamical Reasoning Assembler) is an automated model assembly system interfacing with NLP systems and databases to collect knowledge, and through a process of assembly, produce causal graphs and dynamical models.

From word models to executable models of signaling networks using automated assembly

Automated assembly of molecular mechanisms at scale from text mining and curated databases

Eidos, INDRA, & Delphi: From Free Text to Executable Causal Models

North American Chapter of the Association for Computational Linguistics

INDRA-IPM: interactive pathway modeling using natural language with automated assembly

Exploration and Discovery of the COVID-19 Literature through Semantic Visualization


NLP, before and after spaCy

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

Joint Conference on Lexical and Computational Semantics

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

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

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

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

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

The effect of source disclosure on evaluation of AI-generated messages: A two-part study

A Framework To Improve User Story Sets Through Collaboration

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

Legal Terminology Extraction with the Termolator

Proceedings of the Natural Legal Language Processing Workshop 2021


Scrape Twitter for Tweets

Comparing News Articles and Tweets About COVID-19 in Brazil: Sentiment Analysis and Topic Modeling Approach (Preprint)

Tweets Responding to the Indonesian Government’s Handling of COVID-19: Sentiment Analysis Using SVM with Normalized Poly Kernel

Journal of Information Systems Engineering and Business Intelligence

Global Sentiment Analysis Of COVID-19 Tweets Over Time

Controversy around climate change reports: a case study of Twitter responses to the 2019 IPCC report on land

Sentiment and Knowledge Based Algorithmic Trading with Deep Reinforcement Learning

Gender Prediction in English-Hindi Code-Mixed Social Media Content : Corpus and Baseline System

Evaluating Geo-Tagged Twitter Data to Analyze Tourist Flows in Styria, Austria

ISPRS International Journal of Geo-Information

Role of Artificial Intelligence in Detection of Hateful Speech for Hinglish Data on Social Media

Adapting recurrent neural networks for classifying public discourse on COVID-19 symptoms in Twitter content

An easy numeric data augmentation method for early-stage COVID-19 tweets exploration of participatory dynamics of public attention and news coverage


Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications

Evaluation of YOLO Object Detectors for Weed Detection in Different Turfgrass Scenarios

Deep Learning YOLO-Based Solution for Grape Bunch Detection and Assessment of Biophysical Lesions

An open dataset for intelligent recognition and classification of abnormal condition in longwall mining

Optimizing YOLOv7 for Semiconductor Defect Detection

Automatic 3D Building Reconstruction from OpenStreetMap and LiDAR Using Convolutional Neural Networks

Road Damages Detection and Classification with YOLOv7

Non-destructive detection of single-seed viability in maize using hyperspectral imaging technology and multi-scale 3D convolutional neural network

Assessing the performance of YOLOv5, YOLOv6, and YOLOv7 in road defect detection and classification: a comparative study

Bulletin of Electrical Engineering and Informatics


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


Modular Multiobjective (Hyper) Neuro-Evolution of Augmenting Topologies + MAP-Elites: Java code for evolving intelligent agents in Ms. Pac-Man, Tetris, and more, as well as code for Procedural Content Generation in Mario, Zelda, Minecraft, and more!

CPPN2GAN: Combining Compositional Pattern Producing Networks and GANs for Large-scale Pattern Generation

Genetic and Evolutionary Computation Conference

Illuminating the Space of Beatable Lode Runner Levels Produced By Various Generative Adversarial Networks

Using Multiple Generative Adversarial Networks to Build Better-Connected Levels for Mega Man

Hybrid Encoding for Generating Large Scale Game Level Patterns With Local Variations

Evolving Flying Machines in Minecraft Using Quality Diversity


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

Zenodo (CERN European Organization for Nuclear Research)

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


:scroll: :tada: Automated reporting of objects in R

Epidemiological characteristics of COVID-19 cases and estimates of the reproductive numbers 1 month into the epidemic, Italy, 28 January to 31 March 2020

Measuring Cognitive Load Using In-Game Metrics of a Serious Simulation Game

High-resolution X–ray diffraction datasets: Carbonates

How does community-managed infrastructure scale up from rural to urban? An example of co-production in community water projects in Northern Pakistan

Closed-Loop, Cervical, Epidural Stimulation Elicits Respiratory Neuroplasticity after Spinal Cord Injury in Freely Behaving Rats

Molnupiravir Outpatient Treatment for Adults with COVID-19 in a Real-World Setting—A Single Center Experience

Cervical Cancer Prevention in the Era of the COVID-19 Pandemic

Anodal-TDCS over Left-DLPFC Modulates Motor Cortex Excitability in Chronic Lower Back Pain

Interpersonal Family Dynamics Relate to Hippocampal CA Subfield Structure

Urine 3-Nitrotyrosine and Serum HDL as Potential Biomarkers of Depression


Retrieval and Retrieval-augmented LLMs

C-Pack: Packed Resources For General Chinese Embeddings

BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity
  Text Embeddings Through Self-Knowledge Distillation

Long Context Compression with Activation Beacon

Retrieve Anything To Augment Large Language Models

ChatHaruhi: Reviving Anime Character in Reality via Large Language Model

MLVU: A Comprehensive Benchmark for Multi-Task Long Video Understanding

Making Large Language Models A Better Foundation For Dense Retrieval

LM-Cocktail: Resilient Tuning of Language Models via Model Merging

Arctic-Embed: Scalable, Efficient, and Accurate Text Embedding Models

Extending Llama-3's Context Ten-Fold Overnight


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


:christmas_tree:Visualization and annotation of phylogenetic trees

HypoMap—a unified single-cell gene expression atlas of the murine hypothalamus

Phylogenomic analysis reveals persistence of gonococcal strains with reduced-susceptibility to extended-spectrum cephalosporins and mosaic penA-34

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

Genomic epidemiology of Human Adenovirus F40 and F41 in Coastal Kenya: A retrospective hospital-based surveillance study (2013-2022)

Genomic epidemiology of the rotavirus G2P[4] strains in coastal Kenya pre- and post-rotavirus vaccine introduction, 2012–8

The cytidine deaminase APOBEC3G drives cancer mutagenesis and clonal evolution in bladder cancer


Optimization of flexibility options and grid expansion for distribution grids based on PyPSA

Peak Shaving with Battery Energy Storage Systems in Distribution Grids: A Novel Approach to Reduce Local and Global Peak Loads

Optimal Sizing and Spatial Allocation of Storage Units in a High-Resolution Power System Model

Distribution System Planning with Battery Storage using Multiperiod Optimal Power Flow

PROCEEDINGS OF THE 14TH INTERNATIONAL RENEWABLE ENERGY STORAGE CONFERENCE 2020 (IRES 2020)


The Hector Simple Climate Model

A simple object-oriented and open-source model for scientific and policy analyses of the global climate system – Hector v1.0

Deep mitigation of CO2 and non-CO2 greenhouse gases toward 1.5 °C and 2 °C futures

Ocean acidification over the next three centuries using a simple global climate carbon-cycle model: projections and sensitivities

Reduced complexity model intercomparison project phase 1: Protocol, results and initial observations

A Simple Object-Oriented and Open Source Model for Scientific and Policy Analyses of the Global Carbon Cycle–Hector

HIRM v1.0: a hybrid impulse response model for climate modeling and uncertainty analyses

OpenSCM Two Layer Model: A Python implementation of the two-layer climate model


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

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

Algorithms for Automatic Accentuation and Transcription of Russian Texts in Speech Recognition Systems

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

International Conference on Natural Language and Speech Processing

Universal Automatic Phonetic Transcription into the International Phonetic Alphabet

Scaling A Simple Approach to Zero-Shot Speech Recognition


The Herd toolsuite to deal with .cat memory models (version 7.xx)

Simplifying ARM Concurrency: Multicopy-Atomic Axiomatic and Operational Models for ARMv8

Symposium on Principles of Programming Languages

Bridging the gap between programming languages and hardware weak memory models

The semantics of transactions and weak memory in x86, Power, ARM, and C++

Repairing and mechanising the JavaScript relaxed memory model

Programming Language Design and Implementation

Transactions in relaxed memory architectures

Dartagnan: Bounded Model Checking for Weak Memory Models (Competition Contribution)

Tools and Algorithms for Construction and Analysis of Systems

Verifying and Optimizing Compact NUMA-Aware Locks on Weak Memory Models

Weak Memory Demands Model-based Compiler Testing

Parallelized sequential composition, pipelines, and hardware weak memory models

Compiler Testing with Relaxed Memory Models


FFCV: Fast Forward Computer Vision (and other ML workloads!)

A Cookbook of Self-Supervised Learning

Datamodels: Predicting Predictions from Training Data

The Effects of Regularization and Data Augmentation are Class Dependent

Distilling Model Failures as Directions in Latent Space

FFCV: Accelerating Training by Removing Data Bottlenecks

Matryoshka Representation Learning

A Data-Based Perspective on Transfer Learning

Compute-Efficient Deep Learning: Algorithmic Trends and Opportunities

Guillotine Regularization: Why removing layers is needed to improve generalization in Self-Supervised Learning

On the Symmetries of Deep Learning Models and their Internal Representations


The Water Distribution System Hydraulic and Water Quality Analysis Toolkit


A sandboxed execution environment for unikernels

The Case for Writing Network Drivers in High-Level Programming Languages

Isolating functions at the hardware limit with virtines

Proceedings of the Seventeenth European Conference on Computer Systems

Are Unikernels Ready for Serverless on the Edge?

uTNT: Unikernels for Efficient and Flexible Internet Probing


A collection of Jupyter notebooks developed by the community showing how to use Qiskit

Amplitude estimation without phase estimation

Identifying Bug Patterns in Quantum Programs

Quantum Poker -- a pedagogical tool to learn quantum computing that is fun to play

Noisy quantum amplitude estimation without noise estimation

Toward a Complete Software Stack to Integrate Quantum Key Distribution in a Cloud Environment


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


Succinct Data Structure Library 2.0

From Theory to Practice: Plug and Play with Succinct Data Structures

Fully Functional Suffix Trees and Optimal Text Searching in BWT-Runs Bounded Space

Variable-Order de Bruijn Graphs

Refining the r-index

Hybrid indexes for repetitive datasets

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

A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning

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

Grammar-Compressed Indexes with Logarithmic Search Time

GraCT: A Grammar-based Compressed Index for Trajectory Data

CiNCT: Compression and Retrieval for Massive Vehicular Trajectories via Relative Movement Labeling

Linear Time Construction of Indexable Founder Block Graphs


Decentralized Privacy-Preserving Proximity Tracing -- Documents

PACT: Privacy Sensitive Protocols and Mechanisms for Mobile Contact Tracing

COVID-19 contact tracing apps: a stress test for privacy, the GDPR, and data protection regimes

Epione: Lightweight Contact Tracing with Strong Privacy

Demystifying COVID-19 digital contact tracing: A survey on frameworks and mobile apps

COVID-19 Contact-tracing Apps: a Survey on the Global Deployment and Challenges

Early Perceptions of COVID-19 Contact Tracing Apps in German-Speaking Countries: Comparative Mixed Methods Study (Preprint)

Measurement-based evaluation of Google/Apple Exposure Notification API for proximity detection in a light-rail tram

Mind the GAP: Security & Privacy Risks of Contact Tracing Apps

Metamaterial-Based Reconfigurable Intelligent Surface: 3-D Meta-Atoms Controlled by Graphene Structures


Setup, customize, and control FarmBot from any device


The Core Flight System (cFS)

Can Large Language Models Find And Fix Vulnerable Software?

Looking for related discussions on GitHub Discussions


Interpretability and explainability of data and machine learning models

One Explanation Does Not Fit All: A Toolkit and Taxonomy of AI Explainability Techniques

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

Benchmarking and survey of explanation methods for black box models

Explainable Artificial Intelligence Methods in Combating Pandemics: A Systematic Review

Leveraging Latent Features for Local Explanations

Model Agnostic Multilevel Explanations

Explainable AI for Bioinformatics: Methods, Tools, and Applications

Fast Sparse Decision Tree Optimization via Reference Ensembles

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

Foundation Models for Weather and Climate Data Understanding: A Comprehensive Survey


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

Beyond Factuality: A Comprehensive Evaluation of Large Language Models as Knowledge Generators


AirCasting API and web application


Intel PMU profiling tools

Data Motifs: A Lens Towards Fully Understanding Big Data and AI Workloads

BigDataBench: A Scalable and Unified Big Data and AI Benchmark Suite

BigDataBench: A Dwarf-based Big Data and AI Benchmark Suite.

Scalable Communication Endpoints for MPI+Threads Applications

International Conference on Parallel and Distributed Systems

Profiling dataflow systems on multiple abstraction levels

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

CXLMemSim: A pure software simulated CXL.mem for performance characterization

PMUSpill: The Counters in Performance Monitor Unit that Leak SGX-Protected Secrets

Analysis and Optimization of GNN-Based Recommender Systems on Persistent Memory


starfish: unified pipelines for image-based transcriptomics

Giotto: a toolbox for integrative analysis and visualization of spatial expression data

Museum of Spatial Transcriptomics

Squidpy: a scalable framework for spatial omics analysis

Hybridization-based in situ sequencing (HybISS) for spatially resolved transcriptomics in human and mouse brain tissue

The SONATA Data Format for Efficient Description of Large-Scale Network Models

Genetic Subgroups Inform on Pathobiology in Adult and Pediatric Burkitt Lymphoma


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


Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models


Instruct-tune LLaMA on consumer hardware

LoRA: Low-Rank Adaptation of Large Language Models

A Survey of Large Language Models

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

Harnessing the Power of LLMs in Practice: A Survey on ChatGPT and Beyond

Principle-Driven Self-Alignment of Language Models from Scratch with Minimal Human Supervision

Aligning Large Language Models with Human: A Survey

TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language Models

Towards Mitigating Hallucination in Large Language Models via Self-Reflection

Safety-Tuned LLaMAs: Lessons From Improving the Safety of Large Language Models that Follow Instructions


Next Generation Water Modeling Engine and Framework Prototype


a software library containing BLAS functions written in OpenCL

cltorch: a Hardware-Agnostic Backend for the Torch Deep Neural Network Library, Based on OpenCL

Type-Directed Program Synthesis and Constraint Generation for Library Portability

Boda-RTC: Productive Generation of Portable, Efficient Code for Convolutional Neural Networks on Mobile Computing Platforms

Performance portability through machine learning guided kernel selection in SYCL libraries

Newton–Raphson preconditioner for Krylov type solvers on GPU devices

A Metaprogramming and Autotuning Framework for Deploying Deep Learning Applications

Development of JavaScript-based deep learning platform and application to distributed training


Real-Time and Accurate Full-Body Multi-Person Pose Estimation&Tracking System

RMPE: Regional Multi-person Pose Estimation

AlphaPose: Whole-Body Regional Multi-Person Pose Estimation and Tracking in Real-Time

Peeking into occluded joints: A novel framework for crowd pose estimation

MVOR: A Multi-view RGB-D Operating Room Dataset for 2D and 3D Human Pose Estimation

Human Pose Estimation for Real-World Crowded Scenarios

Can WiFi Estimate Person Pose?

HUMAN4D: A Human-Centric Multimodal Dataset for Motions and Immersive Media

Generalizable Multi-Camera 3D Pedestrian Detection

Vision-Based Human Pose Estimation via Deep Learning: A Survey

IEEE Transactions on Human-Machine Systems

Toward Modeling Psychomotor Performance in Karate Combats Using Computer Vision Pose Estimation


Carbon-Oxygen Phase Separation in MESA White Dwarf Models

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

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

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

Investigation of [KSF2015] 1381-19L, a WC9-type Star in the High-extinction Galactic Region

Testing Modules for Experiments in Stellar Astrophysics (MESA)


A Julia/JuMP Package for Power Network Optimization

PowerModels.jl: An Open-Source Framework for Exploring Power Flow Formulations

Beyond Relaxation and Newton-Raphson: Solving AC OPF for Multi-phase Systems with Renewables

Statistical Learning For DC Optimal Power Flow

hynet: An Optimal Power Flow Framework for Hybrid AC/DC Power Systems

Fast and Robust Determination of Power System Emergency Control Actions

Modeling and Rapid Prototyping of Integrated Transmission-Distribution OPF Formulations With PowerModelsITD.jl

Methodology for Multi-stage, Operations- and Uncertainty-Aware Placement and Sizing of FACTS Devices in a Large Power Transmission System


High-Performance NoSQL database and RESTful web services to access to most relevant biological data

Babelomics 5.0: functional interpretation for new generations of genomic data

Assessing the impact of mutations found in next generation sequencing data over human signaling pathways

Real-world clinical and molecular management of 50 prospective patients with microphthalmia, anophthalmia and/or ocular coloboma

HGVA: the Human Genome Variation Archive

PyCellBase, an efficient python package for easy retrieval of biological data from heterogeneous sources

Relationships between design problem agglomerations and concerns having types and domains of software as transverse dimensions

Journal of the Brazilian Computer Society


Hybrid Quantum-Classical Machine Learning in TensorFlow

TensorFlow Quantum: A Software Framework for Quantum Machine Learning

Differentiable quantum architecture search

Entangling Quantum Generative Adversarial Networks

Programming Quantum Neural Networks on NISQ Systems: An Overview of Technologies and Methodologies

An Empirical Study of Bugs in Quantum Machine Learning Frameworks

QuOp_MPI: A framework for parallel simulation of quantum variational algorithms

Quantum Generative Diffusion Model

QAOA.jl: Toolkit for the Quantum and Mean-Field Approximate Optimization Algorithms


DMTCP: Distributed MultiThreaded CheckPointing

Process Migration-Based Computational Offloading Framework for IoT-Supported Mobile Edge/Cloud Computing

CRAC: Checkpoint-Restart Architecture for CUDA with Streams and UVM

Checkpoint/restart approaches for a thread-based MPI runtime

Checkpointing SPAdes for Metagenome Assembly: Transparency versus Performance in Production


A multi-voice TTS system trained with an emphasis on quality

Zero-Shot Text-to-Image Generation

Improved Denoising Diffusion Probabilistic Models

UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation

Better speech synthesis through scaling

Amphion: An Open-Source Audio, Music and Speech Generation Toolkit

Data Redaction from Conditional Generative Models

Impact of Voice Fidelity on Decision Making: A Potential Dark Pattern?

Vulnerability of Automatic Identity Recognition to Audio-Visual Deepfakes

FastFit: Towards Real-Time Iterative Neural Vocoder by Replacing U-Net Encoder With Multiple STFTs


Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoothers, and more. Has companion book 'Kalman and Bayesian Filters in Python'.

Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking

PriSTI: A Conditional Diffusion Framework for Spatiotemporal Imputation

Temporal Disentangled Contrastive Diffusion Model for Spatiotemporal
  Imputation

Online and Real-time Object Tracking Algorithm with Extremely Small Matrices

Improved Jacobian matrix estimation applied to snake robots


Trying to tame the three-headed dog.

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

Investigating the Ecosystem of Offensive Information Security Tools


Easy access to official spatial data sets of Brazil in R and Python

The impact of climate suitability, urbanisation, and connectivity on the expansion of dengue in 21st century Brazil

Reemergence of yellow fever virus in southeastern Brazil, 2017-2018: what sparked the spread?

Mutation hotspots and spatiotemporal distribution of SARS-CoV-2 lineages in Brazil, February 2020-2021

Tracking the turnover of SARS-CoV-2 VOCs Gamma to Delta in a Brazilian state (Minas Gerais) with a high-vaccination status

Genomic Surveillance of SARS-CoV-2 Lineages Indicates Early Circulation of P.1 (Gamma) Variant of Concern in Southern Brazil

Tracking the emergence of disparities in the subnational spread of COVID-19 in Brazil using an online application for real-time data visualisation: A longitudinal analysis

Municipality-level measles, mumps, and rubella (MMR) vaccine coverage and deprivation in Brazil: A nationwide ecological study, 2006 to 2020

First reports of fimicolous myxomycetes (Protozoa: Amoebozoa) from Brazilian Cerrado and Pantanal biomes

An assessment of the public health surveillance strategy based on molecular testing during three major pandemic waves of COVID-19 in Brazil


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


Specification for streaming massive heterogeneous 3D geospatial datasets :earth_americas:

Automated 3D reconstruction of LoD2 and LoD1 models for all 10 million buildings of the Netherlands

Reconstruction and Efficient Visualization of Heterogeneous 3D City Models

Design and Implementation of a 4D Web Application for Analytical Visualization of Smart City Applications

ISPRS International Journal of Geo-Information

Efficient Visualization of Large-Scale Oblique Photogrammetry Models in Unreal Engine

3D Tiles-Based High-Efficiency Visualization Method for Complex BIM Models on the Web

Three-Dimensional (3D) Parametric Modeling and Organization for Web-Based Visualization of City-Scale Pipe Network

Scalable processing of massive geodata in the cloud: generating a level-of-detail structure optimized for web visualization

COMPUTING ARBITRARILY LARGE MESHES WITH LEVEL-OF-DETAIL SUPPORT FOR CESIUM 3D TILES

The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

A HIGHLY SCALABLE DATA MANAGEMENT SYSTEM FOR POINT CLOUD AND FULL WAVEFORM LIDAR DATA

Tirtha - An Automated Platform to Crowdsource Images and Create 3D Models of Heritage Sites

The 28th International ACM Conference on 3D Web Technology


A proof-of-concept tool for generating payloads that exploit unsafe Java object deserialization.

ODDFUZZ: Discovering Java Deserialization Vulnerabilities via Structure-Aware Directed Greybox Fuzzing

Improving Java Deserialization Gadget Chain Mining via Overriding-Guided Object Generation

An In-depth Study of Java Deserialization Remote-Code Execution Exploits and Vulnerabilities

ACM Transactions on Software Engineering and Methodology

On the Security Blind Spots of Software Composition Analysis

Runtime Prevention of Deserialization Attacks

Proceedings of the ACM/IEEE 44th International Conference on Software Engineering: New Ideas and Emerging Results


Ethereum peer-to-peer networking specifications

A Survey of Distributed Consensus Protocols for Blockchain Networks

IEEE Communications Surveys and Tutorials

Decentralization in Bitcoin and Ethereum Networks

Ethna: Analyzing the Underlying Peer-to-Peer Network of Ethereum Blockchain

When Blockchain Meets SGX: An Overview, Challenges, and Open Issues

Lightweight Collaborative Anomaly Detection for the IoT using Blockchain

Eclipsing Ethereum Peers with False Friends

Strategic Latency Reduction in Blockchain Peer-to-Peer Networks

Content Censorship in the InterPlanetary File System

Security Review of Ethereum Beacon Clients

Consensus on Demand


A simple probabilistic programming language.

BatchEnsemble: An Alternative Approach to Efficient Ensemble and Lifelong Learning

Simple and Principled Uncertainty Estimation with Deterministic Deep Learning via Distance Awareness

Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions

Hyperparameter Ensembles for Robustness and Uncertainty Quantification

Training independent subnetworks for robust prediction

Efficient and Scalable Bayesian Neural Nets with Rank-1 Factors

How Good is the Bayes Posterior in Deep Neural Networks Really?

Discrete Flows: Invertible Generative Models of Discrete Data

Bayesian Layers: A Module for Neural Network Uncertainty

Simple, Distributed, and Accelerated Probabilistic Programming


Code for internal lab sharing - polishing has started but is by no means complete

Layer-Specific Physiological Features and Interlaminar Interactions in the Primary Visual Cortex of the Mouse

Propagation of hippocampal ripples to the neocortex by way of a subiculum-retrosplenial pathway

A consensus statement on detection of hippocampal sharp wave ripples and differentiation from other fast oscillations

Fos ensembles encode and shape stable spatial maps in the hippocampus

Origin of Gamma Frequency Power during Hippocampal Sharp-Wave Ripples

Brain-wide interactions during hippocampal sharp wave ripples

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

Anesthetics fragment hippocampal network activity, alter spine dynamics, and affect memory consolidation

Hippocampal place codes are gated by behavioral engagement

Sub-second dynamics of theta-gamma coupling in hippocampal CA1

Subiculum as a generator of sharp wave-ripples in the rodent hippocampus


GenX: a configurable power system capacity expansion model for studying low-carbon energy futures. More details at : https://genx.mit.edu

Minimizing emissions from grid-based hydrogen production in the United States

Zenodo (CERN European Organization for Nuclear Research)

Decarbonization of the Indian electricity sector: Technology choices and policy trade-offs

Land Use Trade-offs in Decarbonization of Electricity Generation in the American West

Impact of demand growth on decarbonizing India's electricity sector and the role for energy storage

The value of fusion energy to a decarbonized United States electric grid

Decision making under uncertainty for deploying battery storage as a non-wire alternative in distribution networks

Optimizing Deep Decarbonization Pathways in California with Power System Planning Using Surrogate Level-based Lagrangian Relaxation

Reducing transmission expansion by co-optimizing sizing of wind, solar, storage and grid connection capacity

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


Python module that makes working with XML feel like you are working with JSON

RESCRIPt: Reproducible sequence taxonomy reference database management

TypeLoader2: Automated submission of novel HLA and killer‐cell immunoglobulin‐like receptor alleles in full length

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

Exploring a diverse world of effector domains and amyloid signaling motifs in fungal NLR proteins

Tell Me How to Survey: Literature Review Made Simple with Automatic Reading Path Generation

On the Evolution of A.I. and Machine Learning: Towards a Meta-level Measuring and Understanding Impact, Influence, and Leadership at Premier A.I. Conferences

C2: Co-design of Robots via Concurrent-Network Coupling Online and Offline Reinforcement Learning


Land Information System Framework

Beyond ecosystem modeling: A roadmap to community cyberinfrastructure for ecological data‐model integration

Impacts of Fully Coupling Land Surface and Flood Models on the Simulation of Large Wetlands' Water Dynamics: The Case of the Inner Niger Delta

Journal of Advances in Modeling Earth Systems

Irrigation characterization improved by the direct use of SMAP soil moisture anomalies within a data assimilation system

Diverging Trends in Rain‐On‐Snow Over High Mountain Asia

Assimilation of Remotely Sensed Leaf Area Index Enhances the Estimation of Anthropogenic Irrigation Water Use

Journal of advances in modeling earth systems

Performance of Different Crop Models in Simulating Soil Temperature

SMAP retrieval assimilation improves soil moisture estimation across irrigated areas in South Asia


Python implementation of the Open Charge Point Protocol (OCPP).

A Real-Time Cosimulation Testbed for Electric Vehicle Charging and Smart Grid Security


NeMo Guardrails is an open-source toolkit for easily adding programmable guardrails to LLM-based conversational systems.

Survey of Vulnerabilities in Large Language Models Revealed by Adversarial Attacks

NeMo Guardrails: A Toolkit for Controllable and Safe LLM Applications with Programmable Rails

Use of LLMs for Illicit Purposes: Threats, Prevention Measures, and Vulnerabilities

Comprehensive Assessment of Jailbreak Attacks Against LLMs

Next Steps for Human-Centered Generative AI: A Technical Perspective

Prompting Frameworks for Large Language Models: A Survey

Large Language Models as Agents in the Clinic


Finite element toolbox for Julia

The software design of Gridap: A Finite Element package based on the Julia JIT compiler

Accelerated high-cycle phase field fatigue predictions

Adaptive convexification of microsphere-based incremental damage for stress and strain softening at finite strains

Thermodynamic topology optimization for hardening materials

Multidimensional rank-one convexification of incremental damage models at finite strains

Continuum multiscale modeling of absorption processes in micro- and nanocatalysts


Content in this repository is not maintained and is actively being migrated to other repos.

Improving blazar redshift constraints with the edge of the Lyα forest: 1ES 1553+113 and implications for observations of the WHIM

Unveiling δ Scuti and γ Doradus hybrid pulsation of HD 53166 and HD 53349 plus rich frequencies in HD 52788

The ELM Survey South. II. Two Dozen New Low-mass White Dwarf Binaries

Jupyter-Enabled Astrophysical Analysis Using Data-Proximate Computing Platforms

Sonification of TESS Data Validation Timeseries Files

Proceedings of the 27th International Conference on Auditory Display (ICAD 2022)

Characterizing Timeout Builds in Continuous Integration

IEEE Transactions on Software Engineering


RINA implementation for OS/Linux

Progressive Adoption of RINA in IoT Networks: Enhancing Scalability and Network Management via SDN Integration

ARCFIRE: Experimentation with the Recursive InterNetwork Architecture


ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its  goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

A Survey on Causal Inference

Double/Debiased Machine Learning for Treatment and Causal Parameters

Orthogonal Statistical Learning

Deep Generalized Method of Moments for Instrumental Variable Analysis

Orthogonal Random Forest for Causal Inference

Machine Learning Estimation of Heterogeneous Treatment Effects with Instruments

DoubleML -- An Object-Oriented Implementation of Double Machine Learning in Python

Causality Learning: A New Perspective for Interpretable Machine Learning

Evaluation Methods and Measures for Causal Learning Algorithms

gCastle: A Python Toolbox for Causal Discovery


Catch common Java mistakes as compile-time errors

RacerD: compositional static race detection

Proceedings of the ACM on Programming Languages

BugSwarm: Mining and Continuously Growing a Dataset of Reproducible Failures and Fixes

What Makes a Good Commit Message?

Proceedings of the 44th International Conference on Software Engineering

Why Developers Refactor Source Code: A Mining-based Study

FLAG: Finding Line Anomalies (in code) with Generative AI

IntelliTC: Automating Type Changes in IntelliJ IDEA

Automated Test Case Repair Using Language Models


PATO - the Phenotype And Trait Ontology

The Planteome database: an integrated resource for reference ontologies, plant genomics and phenomics

Growing and cultivating the forest genomics database, TreeGenes

Database : the journal of biological databases and curation

Ontology Development Kit: a toolkit for building, maintaining and standardizing biomedical ontologies

OHMI: the ontology of host-microbiome interactions

An Ontology-Based Expert System for Rice Disease Identification and Control Recommendation

TCDO: A Community-Based Ontology for Integrative Representation and Analysis of Traditional Chinese Drugs and Their Properties

Evidence-based complementary and alternative medicine : eCAM

“Opposite-of”-information improves similarity calculations in phenotype ontologies


pure-Python HistFactory implementation with tensors and autodiff

Search for long-lived neutral particles in pp collisions at s=13TeV

Reinterpretation of LHC Results for New Physics: Status and Recommendations after Run 2

Search for B^{+}→K^{+}νν[over ¯] Decays Using an Inclusive Tagging Method at Belle II.

Les Houches 2019 Physics at TeV Colliders: New Physics Working Group Report

Hunting wino and higgsino dark matter at the muon collider with disappearing tracks

SModelS Database Update v1.2.3

Search for events with a pair of displaced vertices from long-lived neutral particles decaying into hadronic jets in the ATLAS muon spectrometer in pp collisions at √(s)=13 TeV

Search for neutral long-lived particles in pp collisions at
    √(s)
 = 13 TeV that decay into displaced hadronic jets in the ATLAS calorimeter

Differentiable Matrix Elements with MadJax

neos: End-to-End-Optimised Summary Statistics for High Energy Physics


The optimizing Quil compiler.

A quantum-classical cloud platform optimized for variational hybrid algorithms

A verified optimizer for Quantum circuits

Symposium on Principles of Programming Languages

Systematic Literature Review: Quantum Machine Learning and its applications

Architecting Noisy Intermediate-Scale Trapped Ion Quantum Computers

Resource-Efficient Quantum Computing by Breaking Abstractions

An Open-Source, Industrial-Strength Optimizing Compiler for Quantum Programs

Verified Compilation of Quantum Oracles


A library for graph deep learning research

Explainability in Graph Neural Networks: A Taxonomic Survey

On Explainability of Graph Neural Networks via Subgraph Explorations

Self-Supervised Learning of Graph Neural Networks: A Unified Review

Explainable AI Methods - A Brief Overview

Spherical Message Passing for 3D Graph Networks

Trustworthy AI: A Computational Perspective

3D Infomax improves GNNs for Molecular Property Prediction

Forces are not Enough: Benchmark and Critical Evaluation for Machine Learning Force Fields with Molecular Simulations

DIG: A Turnkey Library for Diving into Graph Deep Learning Research

ComENet: Towards Complete and Efficient Message Passing for 3D Molecular Graphs


gnark is a fast zk-SNARK library that offers a high-level API to design circuits. The library is open source and developed under the Apache 2.0 license

Non-Interactive Zero-Knowledge for Blockchain: A Survey

Speeding Up Multi-Scalar Multiplication over Fixed Points Towards Efficient zkSNARKs

IACR Transactions on Cryptographic Hardware and Embedded Systems


Creative Commons Attribution Share Alike 4.0 International

XML Canonical resources for Greek Literature

An automatic model and Gold Standard for translation alignment of Ancient Greek

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

The GLAUx corpus: methodological issues in designing a long-term, diverse, multi-layered corpus of Ancient Greek

Workshop on Computational Approaches to Historical Language Change

BERT in Plutarch's Shadows

Hippocrates transformed: crafting a Hippocratic discourse of medical semiotics in English, 1850–1930

Humanities and Social Sciences Communications


Efficient few-shot learning with Sentence Transformers

Efficient Few-Shot Learning Without Prompts

Making LLMs Worth Every Penny: Resource-Limited Text Classification in Banking

PROCEEDINGS OF THE 4TH ACM INTERNATIONAL CONFERENCE ON AI IN FINANCE, ICAIF 2023

In-Context Learning for Text Classification with Many Labels

Breaking the Bank with ChatGPT: Few-Shot Text Classification for Finance

Spam-T5: Benchmarking Large Language Models for Few-Shot Email Spam Detection

Automated Few-shot Classification with Instruction-Finetuned Language Models

Like a Good Nearest Neighbor: Practical Content Moderation with Sentence Transformers

NormMark: A Weakly Supervised Markov Model for Socio-cultural Norm Discovery

Few-shot learning for sentence pair classification and its applications in software engineering

A deep learning-based approach for identifying unresolved questions on Stack Exchange Q &A communities through graph-based communication modelling


A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

PettingZoo: Gym for Multi-Agent Reinforcement Learning

IQ-Learn: Inverse soft-Q Learning for Imitation

Robust Reinforcement Learning using Offline Data

Smooth Exploration for Robotic Reinforcement Learning

CARL: A Benchmark for Contextual and Adaptive Reinforcement Learning

Testing of Deep Reinforcement Learning Agents with Surrogate Models

Rastermap: a discovery method for neural population recordings

Reinforcement Learning in Linear MDPs: Constant Regret and Representation Selection

Minimax Optimal Online Imitation Learning via Replay Estimation

Neural Lyapunov Control for Discrete-Time Systems


LevelDB key/value database in Go.

Santa Claus Algorithm: Agent-Based Consensus Preprocessing Method for Scalability Improvement in Private Blockchain Environment

Performance Benchmarking and Optimizing Hyperledger Fabric Blockchain Platform

Monitoring self-adaptive applications within edge computing frameworks: A state-of-the-art review

Optimizing Validation Phase of Hyperledger Fabric

Impact of network delays on Hyperledger Fabric

Ledgerdata Refiner: A Powerful Ledger Data Query Platform for Hyperledger Fabric

Understanding the Scalability of Hyperledger Fabric

Learning about the reduction of food waste using Blockchain technology

Redacting Transactions from Execute-Order-Validate Blockchains

QiOi: Performance Isolation for Hyperledger Fabric


TLC is a model checker for specifications written in TLA+. The TLA+Toolbox is an IDE for TLA+.

Formal Verification of Multi-Paxos for Distributed Consensus

The TLA+ Toolbox

eXtreme Modelling in Practice

Design and Analysis of a Logless Dynamic Reconfiguration Protocol

IoT Capabilities Composition and Decomposition: A Systematic Review

MET: Model Checking-Driven Explorative Testing of CRDT Designs and
  Implementations


OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection

From Points to Parts: 3D Object Detection from Point Cloud with Part-aware and Part-aggregation Network

Voxel R-CNN: Towards High Performance Voxel-based 3D Object Detection

3D Object Detection with Pointformer

PV-RCNN++: Point-Voxel Feature Set Abstraction With Local Vector Representation for 3D Object Detection

Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds

Self-Supervised Pretraining of 3D Features on any Point-Cloud

Improving 3D Object Detection with Channel-wise Transformer

Embracing Single Stride 3D Object Detector with Sparse Transformer

Focal Sparse Convolutional Networks for 3D Object Detection


Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

Large Language Models as Tool Makers

GPTCache: An Open-Source Semantic Cache for LLM Applications Enabling Faster Answers and Cost Savings

Proceedings of the 3rd Workshop for Natural Language Processing Open Source Software (NLP-OSS 2023)

CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving

Prompting Frameworks for Large Language Models: A Survey

Towards Optimizing the Costs of LLM Usage

SEED: Domain-Specific Data Curation With Large Language Models

MeTMaP: Metamorphic Testing for Detecting False Vector Matching Problems in LLM Augmented Generation

Cache me if you Can: an Online Cost-aware Teacher-Student framework to Reduce the Calls to Large Language Models

Efficient Prompt Caching via Embedding Similarity

Privacy-Aware Semantic Cache for Large Language Models


A machine learning package for streaming data in Python. The other ancestor of River.

Scikit-Multiflow: A Multi-output Streaming Framework

Adaptive XGBoost for Evolving Data Streams

Cost-Sensitive Classification for Evolving Data Streams with Concept Drift and Class Imbalance

Computational intelligence and neuroscience

Online Multi-target regression trees with stacked leaf models

Changes from the Trenches: Should We Automate Them?

Online Binary Models are Promising for Distinguishing Temporally Consistent Computer Usage Profiles


Self-driving car simulator for the Duckietown universe

SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Driving

Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimization

Self-Supervised Discovering of Interpretable Features for Reinforcement Learning

Robust Reinforcement Learning-based Autonomous Driving Agent for Simulation and Real World

International Joint Conference on Neural Network

Integrated Benchmarking and Design for Reproducible and Accessible Evaluation of Robotic Agents

OpenPodcar: an Open Source Vehicle for Self-Driving Car Research

'Put the Car on the Stand': SMT-based Oracles for Investigating Decisions

A Survey on Small-Scale Testbeds for Connected and Automated Vehicles
  and Robot Swarms

On Assessing the Usefulness of Proxy Domains for Developing and Evaluating Embodied Agents


FLARE Obfuscated String Solver - Automatically extract obfuscated strings from malware.

A Survey on Cross-Architectural IoT Malware Threat Hunting

Malware triage for early identification of Advanced Persistent Threat activities

Identifying Authorship Style in Malicious Binaries: Techniques, Challenges & Datasets


OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.

Simple Online and Realtime Tracking with a Deep Association Metric

Simple Online and Realtime Tracking

International Conference on Information Photonics

SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks

Deep Feature Flow for Video Recognition

Flow-Guided Feature Aggregation for Video Object Detection

Probabilistic Regression for Visual Tracking

StrongSORT: Make DeepSORT Great Again

Observation-Centric SORT: Rethinking SORT for Robust Multi-Object Tracking

Sequence Level Semantics Aggregation for Video Object Detection

DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion


Clone this repo to build Frida

MiniWarner: An Novel and Automatic Malicious Phishing Mini-apps Detection Approach

FirmwareDroid: Security Analysis of the Android Firmware EcoSystem

Diffie-Hellman Picture Show: Key Exchange Stories from Commercial VoWiFi
  Deployments


FSA/FST algorithms, differentiable, with PyTorch compatibility.

SpeechBrain: A General-Purpose Speech Toolkit

Pruned RNN-T for fast, memory-efficient ASR training

Lhotse: a speech data representation library for the modern deep learning ecosystem

Towards Universal Speech Discrete Tokens: A Case Study for ASR and TTS

CTC Variations Through New WFST Topologies

The History of Speech Recognition to the Year 2030

DiffVoice: Text-to-Speech with Latent Diffusion

Consistent Training and Decoding for End-to-End Speech Recognition Using Lattice-Free MMI

Fast and parallel decoding for transducer

Differentiable Allophone Graphs for Language-Universal Speech Recognition


WAVEWATCH III

Towards a coupled model to investigate wave–sea ice interactions in the Arctic marginal ice zone

Wind–Wave Modeling: Where We Are, Where to Go

Journal of Marine Science and Engineering

Development of a 2-way coupled ocean-wave model: assessment on a
global NEMO(v3.6)-WW3(v6.02) coupled configuration

Ensemble hindcasting of wind and wave conditions with WRF and WAVEWATCH III® driven by ERA5

Unstructured global to coastal wave modeling for the Energy Exascale Earth System Model using WAVEWATCH III version 6.07

Model uncertainties of a storm and their influence on microplastics and sediment transport in the Baltic Sea

Projected Characteristic Changes of a Typical Tropical Cyclone under Climate Change in the South West Indian Ocean

Investigating the Impact of High-Resolution Land–Sea Masks on Hurricane Forecasts in HWRF

An Application of NEMOVAR for Regional Wave Model Data Assimilation

Cyclonic Wave Simulations Based on WAVEWATCH-III Using a Sea Surface Drag Coefficient Derived from CFOSAT SWIM Data


Collection of Fortran77 subroutines designed to solve large scale eigenvalue problems.

The Tensor Networks Anthology: Simulation techniques for many-body quantum lattice systems

Signatures of few-body resonances in finite volume

EDRIXS: An open source toolkit for simulating spectra of resonant inelastic x-ray scattering

Exact diagonalization library for quantum electron models

On the role of rotation-vibration coupling in the spectra of ozone isotopomers

lifex-ep: a robust and efficient software for cardiac electrophysiology simulations

Superharmonic instability of stokes waves

An open tool based on lifex for myofibers generation in cardiac computational models

A partitioned shift-without-invert algorithm to improve parallel eigensolution efficiency in real-space electronic transport


Creative Commons Attribution 4.0 International

Source ontology files for the Gene Ontology

The Gene Ontology Resource: 20 years and still GOing strong

Expansion of the Gene Ontology knowledgebase and resources

Exploring autophagy with Gene Ontology

Ontology engineering methodologies for the evolution of living and reused ontologies: status, trends, findings and recommendations

Get GO! Retrieving GO Data Using AmiGO, QuickGO, API, Files, and Tools

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

Crowdsourcing biocuration: The Community Assessment of Community Annotation with Ontologies (CACAO)


cuDF - GPU DataFrame Library

Distributed Hierarchical GPU Parameter Server for Massive Scale Deep Learning Ads Systems

WarpCore: A Library for fast Hash Tables on GPUs

Landscape of High-Performance Python to Develop Data Science and Machine Learning Applications

GPU Accelerated Exhaustive Search for Optimal Ensemble of Black-Box Optimization Algorithms

In-depth Analysis On Parallel Processing Patterns for High-Performance Dataframes

Hybrid CPU/GPU/APU accelerated query, insert, update and erase operations in hash tables with string keys

Accelerating Machine Learning Queries with Linear Algebra Query Processing

Improving Robustness with Image Filtering


cell detection in calcium imaging recordings

Fos ensembles encode and shape stable spatial maps in the hippocampus

Mesoscale cortical dynamics reflect the interaction of sensory evidence and temporal expectation during perceptual decision-making

Hippocampal place codes are gated by behavioral engagement

A bright and high-performance genetically encoded Ca2+ indicator based on mNeonGreen fluorescent protein

Respiration-Locking of Olfactory Receptor and Projection Neurons in the Mouse Olfactory Bulb and Its Modulation by Brain State

Minute-scale oscillatory sequences in medial entorhinal cortex

Complexity of frequency receptive fields predicts tonotopic variability across species

A stable, distributed code for cue value in mouse cortex during reward learning

PatchWarp: Corrections of non-uniform image distortions in two-photon calcium imaging data by patchwork affine transformations

Disinhibition by VIP interneurons is orthogonal to cross-modal attentional modulation in primary visual cortex


ROOT I/O in pure Python and NumPy.

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

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

Absolute light yield measurement of NaI:Tl crystals for dark matter
  search


Models and APIs for Genomic data. RETIRED 2018-01-24

Evaluation of GRCh38 and de novo haploid genome assemblies demonstrates the enduring quality of the reference assembly

Computational pan-genomics: status, promises and challenges

Integrating cancer genomic data into electronic health records

Histoimmunogenetics Markup Language 1.0: Reporting next generation sequencing-based HLA and KIR genotyping

Gigwa v2—Extended and improved genotype investigator


An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.

SkiMap: An Efficient Mapping Framework for Robot Navigation

Overview obstacle maps for obstacle‐aware navigation of autonomous drones

Probabilistic Point Cloud Modeling via Self-Organizing Gaussian Mixture Models

OMU: A Probabilistic 3D Occupancy Mapping Accelerator for Real-time OctoMap at the Edge

Occupancy Grid Mapping Without Ray-Casting for High-Resolution LiDAR Sensors

Efficient volumetric mapping of multi-scale environments using wavelet-based compression

GMMap: Memory-Efficient Continuous Occupancy Map Using Gaussian Mixture Model


web-based analysis tool for rare disease genomics

A three-year follow-up study evaluating clinical utility of exome sequencing and diagnostic potential of reanalysis

Children’s rare disease cohorts: an integrative research and clinical genomics initiative

A novel variant in GATM causes idiopathic renal Fanconi syndrome and predicts progression to end-stage kidney disease.

A founder mutation in the PLPBP gene in families from Saguenay‐Lac‐St‐Jean region affected by a pyridoxine‐dependent epilepsy

Monogenic Versus Multifactorial Inheritance in the Development of Isolated Cleft Palate: A Whole Genome Sequencing Study

High Prevalence of Collagenopathies in Preterm- and Term-Born Children With Periventricular Venous Hemorrhagic Infarction


Simulate genealogical trees and genomic sequence data using population genetic models

Efficient ancestry and mutation simulation with msprime 1.0

Coalescent Simulation with msprime

Sweepstakes reproductive success via pervasive and recurrent selective sweeps

Coupling Wright-Fisher and coalescent dynamics for realistic simulation of population-scale datasets


Deep Learning GPU Training System

Facial Expression Recognition using Visual Saliency and Deep Learning

ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network

Automated Parking Space Detection Using Convolutional Neural Networks

2017 Pattern Recognition Association of South Africa and Robotics and Mechatronics (PRASA-RobMech)

A deep convolutional neural network approach for astrocyte detection

A Survey on Deep Learning Toolkits and Libraries for Intelligent User Interfaces

Fast and robust multiple ColorChecker detection using deep convolutional neural networks

Barista - a Graphical Tool for Designing and Training Deep Neural Networks

Lens Identification to Prevent Radiation-Induced Cataracts Using Convolutional Neural Networks


Open source codebase powering the HuggingChat app

OpinionGPT: Modelling Explicit Biases in Instruction-Tuned LLMs

G3Detector: General GPT-Generated Text Detector

SurveyAgent: A Conversational System for Personalized and Efficient
  Research Survey


Interest-disclosing Mechanisms for Advertising are Privacy-Exposing (not Preserving)


RISC-V Proxy Kernel

CURE: A Security Architecture with CUstomizable and Resilient Enclaves

Intelligent Security Monitoring System Based on RISC-V SoC

Lightweight Software-Defined Error Correction for Memories

PiDRAM: An FPGA-based Framework for End-to-end Evaluation of Processing-in-DRAM Techniques


The Open Forcefield Toolkit provides implementations of the SMIRNOFF format, parameterization engine, and other tools. Documentation available at http://open-forcefield-toolkit.readthedocs.io

Escaping Atom Types in Force Fields Using Direct Chemical Perception

Journal of chemical theory and computation

Open Force Field BespokeFit: Automating Bespoke Torsion Parametrization at Scale

Journal of chemical information and modeling

Open Force Field Consortium: Escaping atom types using direct chemical perception with SMIRNOFF v0.1


The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

Datasets: A Community Library for Natural Language Processing

Compacter: Efficient Low-Rank Hypercomplex Adapter Layers

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

Parameter-efficient Multi-task Fine-tuning for Transformers via Shared Hypernetworks

Large-scale chemical language representations capture molecular structure and properties

ATTEMPT: Parameter-Efficient Multi-task Tuning via Attentional Mixtures of Soft Prompts

FLEX: Unifying Evaluation for Few-Shot NLP

The Optimal BERT Surgeon: Scalable and Accurate Second-Order Pruning for Large Language Models

Simplified Data Wrangling with ir_datasets

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

Pre-training Methods in Information Retrieval


mzmine source code repository

Comparison of Cosine, Modified Cosine, and Neutral Loss Based Spectrum Alignment For Discovery of Structurally Related Molecules

Evaluation of Data-Dependent MS/MS Acquisition Parameters for Non-Targeted Metabolomics and Molecular Networking of Environmental Samples: Focus on the Q Exactive Platform

On-tissue dataset-dependent MALDI-TIMS-MS2 bioimaging


Evaluate: A library for easily evaluating machine learning models and datasets.

Evaluate & Evaluation on the Hub: Better Best Practices for Data and Model Measurements

Open Domain Multi-document Summarization: A Comprehensive Study of Model Brittleness under Retrieval

Comparing Abstractive Summaries Generated by ChatGPT to Real Summaries Through Blinded Reviewers and Text Classification Algorithms

TARJAMAT: Evaluation of Bard and ChatGPT on Machine Translation of Ten Arabic Varieties

SeqGPT: An Out-of-the-box Large Language Model for Open Domain Sequence Understanding

Explanation-based Finetuning Makes Models More Robust to Spurious Cues

CoGenesis: A Framework Collaborating Large and Small Language Models for Secure Context-Aware Instruction Following

CoAScore: Chain-of-Aspects Prompting for NLG Evaluation

Deep Learning Model Reuse in the HuggingFace Community: Challenges, Benefit and Trends

Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI


Zcash Improvement Proposals

Comparison of blockchain platforms: a systematic review and healthcare examples

Journal of the American Medical Informatics Association : JAMIA

Blockchain for Cities—A Systematic Literature Review

Zero-knowledge proofs for set membership: efficient, succinct, modular

Privacy on the Blockchain: Unique Ring Signatures

ZETH: On Integrating Zerocash on Ethereum

Egalitarian computing

Close Latency--Security Trade-off for the Nakamoto Consensus

ZPiE: Zero-Knowledge Proofs in Embedded Systems

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

Arion: Arithmetization-Oriented Permutation and Hashing from Generalized Triangular Dynamical Systems


Leveraging BERT and c-TF-IDF to create easily interpretable topics.

BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Chatbot Arena: An Open Platform for Evaluating LLMs by Human Preference

Is Neural Topic Modelling Better than Clustering? An Empirical Study on Clustering with Contextual Embeddings for Topics

Investigating Topic Modeling Techniques to Extract Meaningful Insights in Italian Long COVID Narration

A Systematic Review of Wi-Fi and Machine Learning Integration with Topic Modeling Techniques

Characterizing Financial Market Coverage using Artificial Intelligence

Examining Temporal Bias in Abusive Language Detection

Topic Modeling With Topological Data Analysis

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

An NLP Approach for Extracting Practical Knowledge from a CMS-Based Community of Practice in E-Learning

An Empirical Study of Challenges in Machine Learning Asset Management


A web privacy measurement framework

Browser Fingerprinting: A survey

Measuring third party tracker power across web and mobile

Variations in Tracking in Relation to Geographic Location

Stop tracking me Bro! Differential Tracking of User Demographics on Hyper-Partisan Websites

Exploiting Input Sanitization for Regex Denial of Service

Privacy-preserving targeted mobile advertising:A Blockchain-based framework for mobile ads

Actions speak louder than words: Semi-supervised learning for browser fingerprinting detection

Mutual Hyperlinking Among Misinformation Peddlers

Under the Spotlight: Web Tracking in Indian Partisan News Websites

Did I delete my cookies? Cookies respawning with browser fingerprinting


TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow

Local Implicit Grid Representations for 3D Scenes

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

Solving inverse-PDE problems with physics-aware neural networks

Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations

Self-supervised learning with physics-aware neural networks - I. Galaxy model fitting

Monthly notices of the Royal Astronomical Society


Unified Efficient Fine-Tuning of 100+ LLMs (ACL 2024)

Training language models to follow instructions with human feedback

LoRA: Low-Rank Adaptation of Large Language Models

Finetuned Language Models Are Zero-Shot Learners

Large Language Models for Software Engineering: A Systematic Literature Review

Long and Diverse Text Generation with Planning-based Hierarchical Variational Model

LlamaFactory: Unified Efficient Fine-Tuning of 100+ Language Models

InCharacter: Evaluating Personality Fidelity in Role-Playing Agents through Psychological Interviews

Alleviating Hallucinations of Large Language Models through Induced Hallucinations

LaCo: Large Language Model Pruning via Layer Collapse

CANDLE: Iterative Conceptualization and Instantiation Distillation from Large Language Models for Commonsense Reasoning


Library for training machine learning models with privacy for training data

Neural Program Synthesis with Priority Queue Training

The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks

Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data

Membership Inference Attacks From First Principles

Evaluating Differentially Private Machine Learning in Practice

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

Differential Privacy Has Disparate Impact on Model Accuracy

MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples

Large Language Models Can Be Strong Differentially Private Learners

Differentially Private Model Publishing for Deep Learning


Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting a number of candid inference solutions such as HF TGI, VLLM for local or cloud deployment. Demo apps to showcase Meta Llama for WhatsApp & Messenger.

Fine-tuning Aligned Language Models Compromises Safety, Even When Users Do Not Intend To!

Prometheus: Inducing Fine-grained Evaluation Capability in Language Models

A Mutation-Based Method for Multi-Modal Jailbreaking Attack Detection

PAL: Proxy-Guided Black-Box Attack on Large Language Models

Can AI Assistants Know What They Don't Know?

AEGIS: Online Adaptive AI Content Safety Moderation with Ensemble of LLM
  Experts

MatChat: A large language model and application service platform for materials science

Can Small Language Models be Good Reasoners for Sequential Recommendation?

Navigating the Safety Landscape: Measuring Risks in Finetuning Large Language Models

Quartet Logic: A Four-Step Reasoning (QLFR) framework for advancing Short Text Classification


MRtrix3 provides a set of tools to perform various advanced diffusion MRI analyses, including constrained spherical deconvolution (CSD), probabilistic tractography, track-density imaging, and apparent fibre density

Assessing White Matter Microstructure in Brain Regions with Different Myelin Architecture Using MRI

White matter myelination during early infancy is linked to spatial gradients and myelin content at birth

The effect of CSF drain on the optic nerve in idiopathic intracranial hypertension

Multimodal Neuroimaging-Informed Clinical Applications in Neuropsychiatric Disorders

Infants’ cortex undergoes microstructural growth coupled with myelination during development

Diffusional kurtosis imaging and white matter microstructure modeling in a clinical study of major depressive disorder

D-BRAIN: Anatomically Accurate Simulated Diffusion MRI Brain Data

T2-Pseudonormalization and Microstructural Characterization in Advanced Stages of Late-infantile Metachromatic Leukodystrophy

Structural Connectivity Analysis in Children with Segmental Callosal Agenesis

Relationships between the integrity and function of lumbar nerve roots as assessed by diffusion tensor imaging and neurophysiology


Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!

Accelerated Neural Networks on OpenCL Devices Using SYCL-DNN

Proceedings of the International Workshop on OpenCL

High-speed turbulent flows towards the exascale: STREAmS-2 porting and performance

Code Generation from Simulink Models with Task and Data Parallelism

International Conference on Bioinformatics

Assessing opportunities of SYCL for biological sequence alignment on GPU-based systems

IMPaCT: Interval MDP Parallel Construction for Controller Synthesis of Large-Scale Stochastic Systems

Open SYCL on heterogeneous GPU systems: A case of study

Experiences Building an MLIR-Based SYCL Compiler

Lessons Learned Migrating CUDA to SYCL: A HEP Case Study with ROOT RDataFrame


The modular galaxy image simulation toolkit.  Documentation:

GalSim: The modular galaxy image simulation toolkit

Weak Lensing for Precision Cosmology

Annual Review of Astronomy and Astrophysics

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

The first-year shear catalog of the Subaru Hyper Suprime-Cam Subaru Strategic Program Survey

Publications of the Astronomical Society of Japan

The DES Science Verification weak lensing shear catalogues

Monthly Notices of the Royal Astronomical Society

THE THIRD GRAVITATIONAL LENSING ACCURACY TESTING (GREAT3) CHALLENGE HANDBOOK

The Astrophysical Journal Supplement Series

GREAT3 results - I. Systematic errors in shear estimation and the impact of real galaxy morphology

Weak lensing shear calibration with simulations of the HSC survey

Metacalibration: Direct Self-Calibration of Biases in Shear Measurement

im3shape: a maximum likelihood galaxy shear measurement code for cosmic gravitational lensing


Keras documentation, hosted live at keras.io

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

Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

Masked Autoencoders Are Scalable Vision Learners

Denoising Diffusion Implicit Models

Neural Discrete Representation Learning

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

ViViT: A Video Vision Transformer

Training Generative Adversarial Networks with Limited Data

With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations

Escaping the Big Data Paradigm with Compact Transformers


The efficient SMT-based context-bounded model checker (ESBMC)

A New Era in Software Security: Towards Self-Healing Software via Large Language Models and Formal Verification

ESBMC: Scalable and Precise Test Generation based on the Floating-Point Theory

ESBMC-Solidity: An SMT-Based Model Checker for Solidity Smart Contracts

ESBMC-CHERI: towards verification of C programs for CHERI platforms with ESBMC

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

ESBMC v7.4: Harnessing the Power of Intervals

Combining BMC and Fuzzing Techniques for Finding Software Vulnerabilities in Concurrent Programs

Verifying Software Vulnerabilities in IoT Cryptographic Protocols

ESBMC v7.3: Model Checking C++ Programs using Clang AST

Verifying Security Vulnerabilities in Large Software Systems using Multi-Core k-Induction

ESBMC-Python: A Bounded Model Checker for Python Programs


Facebook AI Performance Evaluation Platform

ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation

Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours

EmBench: Quantifying Performance Variations of Deep Neural Networks across Modern Commodity Devices

The 3rd International Workshop on Deep Learning for Mobile Systems and Applications

2018 Low-Power Image Recognition Challenge

Single-Path Mobile AutoML: Efficient ConvNet Design and NAS Hyperparameter Optimization

Non-Autoregressive Semantic Parsing for Compositional Task-Oriented Dialog

The Design and Implementation of a Scalable Deep Learning Benchmarking Platform

International Conference on Cloud Computing

MLModelScope: A Distributed Platform for Model Evaluation and Benchmarking at Scale


CARMA Platform is built on robot operating system (ROS) and utilizes open source software (OSS) that enables Cooperative Driving Automation (CDA) features to allow Automated Driving Systems to interact and cooperate with infrastructure and other vehicles through communication. Doxygen Source Code Documentation :

Invisible for both Camera and LiDAR: Security of Multi-Sensor Fusion based Perception in Autonomous Driving Under Physical-World Attacks

Networked Roadside Perception Units for Autonomous Driving

Too Afraid to Drive: Systematic Discovery of Semantic DoS Vulnerability in Autonomous Driving Planning under Physical-World Attacks

X-CAR: An Experimental Vehicle Platform for Connected Autonomy Research

IEEE Intelligent Transportation Systems Magazine


The Rails app behind iNaturalist.org


Advanced virtual prototyping for cyber-physical systems using RISC-V: implementation, verification and challenges


A full-stack framework for quantum computing.

Qibo: a framework for quantum simulation with hardware acceleration

Quantum autoencoders with enhanced data encoding

Machine Learning: Science and Technology

An open-source modular framework for quantum computing

Determining probability density functions with adiabatic quantum computing

Quantum computation capability verification protocol for noisy intermediate-scale quantum devices with the dihedral coset problem

Bug Characteristics in Quantum Software Ecosystem

Quantum Data Management: From Theory to Opportunities

Exact analytical relation between the entropies and the dominant eigenvalue of random reduced density matrices


Random instruction generator for RISC-V processor verification

Optimizing Design Verification using Machine Learning: Doing better than Random

ProcessorFuzz: Guiding Processor Fuzzing using Control and Status Registers

Randomized Testing of RISC-V CPUs Using Direct Instruction Injection


MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.

A review on outlier/anomaly detection in time series data

A meta-level analysis of online anomaly detectors

Balancing Performance and Energy Consumption of Bagging Ensembles for the Classification of Data Streams in Edge Computing

Predict COVID-19 Spreading With C-SMOTE

Mining Drifting Data Streams on a Budget: Combining Active Learning with Self-Labeling


A Python Package for Protein Dynamics Analysis

Shared Signature Dynamics Tempered by Local Fluctuations Enables Fold Adaptability and Specificity

ClustENMD: efficient sampling of biomolecular conformational space at atomic resolution

Scipion-EM-ProDy: A Graphical Interface for the ProDy Python Package within the Scipion Workflow Engine Enabling Integration of Databases, Simulations and Cryo-Electron Microscopy Image Processing

International journal of molecular sciences


A deep learning framework for molecular docking

Protein-Ligand Scoring with Convolutional Neural Networks

Journal of chemical information and modeling

Recent advances and applications of deep learning methods in materials science

GNINA 1.0: Molecular Docking with Deep Learning

Hidden Bias in the DUD-E Dataset Leads to Misleading Performance of Deep Learning in Structure-Based Virtual Screening

DEEPScreen: high performance drug–target interaction prediction with convolutional neural networks using 2-D structural compound representations

Visualizing Convolutional Neural Network Protein-Ligand Scoring

Journal of molecular graphics & modelling

DiffBP: Generative Diffusion of 3D Molecules for Target Protein Binding

A Review on Parallel Virtual Screening Softwares for High-Performance Computers

Ligand Pose Optimization with Atomic Grid-Based Convolutional Neural Networks

On-the-fly Prediction of Protein Hydration Densities and Free Energies using Deep Learning


TCP port scanner, spews SYN packets asynchronously, scanning entire Internet in under 5 minutes.

A Survey of Honeypots and Honeynets for Internet of Things, Industrial Internet of Things, and Cyber-Physical Systems

A Two-Fold Machine Learning Approach to Prevent and Detect IoT Botnet Attacks

LZR: Identifying Unexpected Internet Services

No Need for Black Chambers: Testing TLS in the E-mail Ecosystem at Large

Spoki: Unveiling a New Wave of Scanners through a Reactive Network Telescope

Democratizing LEO Satellite Network Measurement

Online Discoverability and Vulnerabilities of ICS/SCADA Devices in the Netherlands

Gotham Testbed: A Reproducible IoT Testbed for Security Experiments and Dataset Generation

XLBoost-Geo: An IP Geolocation System Based on Extreme Landmark Boosting

Stratosphere: Finding Vulnerable Cloud Storage Buckets


Wild Me's first product, Wildbook supports researchers by allowing collaboration across the globe and automation of photo ID matching


Open-source code analysis platform for C/C++/Java/Binary/Javascript/Python/Kotlin based on code property graphs. Discord https://discord.gg/vv4MH284Hc

Wasmati: An efficient static vulnerability scanner for WebAssembly

Distinguishing Look-Alike Innocent and Vulnerable Code by Subtle Semantic Representation Learning and Explanation

DeepVulSeeker: A novel vulnerability identification framework via code graph structure and pre-training mechanism

Study of JavaScript Static Analysis Tools for Vulnerability Detection in Node.js Packages

Boosting Code Summarization by Embedding Code Structures

International Conference on Computational Linguistics

A Uniform Representation of Classical and Quantum Source Code for Static Code Analysis

Learning Type Inference for Enhanced Dataflow Analysis

Representing LLVM-IR in a Code Property Graph

Beyond Fidelity: Explaining Vulnerability Localization of Learning-based Detectors

Learning to Extend Program Graphs to Work-in-Progress Code


Holistic Evaluation of Language Models (HELM), a framework to increase the transparency of language models (https://arxiv.org/abs/2211.09110). This framework is also used to evaluate text-to-image models in HEIM (https://arxiv.org/abs/2311.04287) and vision-language models in VHELM (https://arxiv.org/abs/2410.07112).

Holistic Evaluation of Language Models

Evaluating Large Language Models: A Comprehensive Survey

Holistic Evaluation of Text-To-Image Models

On the Challenges of Using Black-Box APIs for Toxicity Evaluation in Research

SafetyPrompts: a Systematic Review of Open Datasets for Evaluating and
  Improving Large Language Model Safety

Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging

UltraEval: A Lightweight Platform for Flexible and Comprehensive Evaluation for LLMs

TorchQL: A Programming Framework for Integrity Constraints in Machine Learning

RAmBLA: A Framework for Evaluating the Reliability of LLMs as Assistants
  in the Biomedical Domain


Gephi - The Open Graph Viz Platform

ForceAtlas2, a Continuous Graph Layout Algorithm for Handy Network Visualization Designed for the Gephi Software

Weighted Betweenness Preferential Attachment: A New Mechanism Explaining Social Network Formation and Evolution

Defining Cyber Security and Cyber Security Risk within a Multidisciplinary Context using Expert Elicitation

Risk analysis : an official publication of the Society for Risk Analysis

Generic anomalous vertices detection utilizing a link prediction algorithm

Genetic basis for the establishment of endosymbiosis in Paramecium

A hybrid algorithm based on community detection and multi attribute decision making for influence maximization

A bibliometric analysis of 23,492 publications on rectal cancer by machine learning: basic medical research is needed

Therapeutic advances in gastroenterology

How Symmetric Are Real-World Graphs? A Large-Scale Study

Cross-Disciplinary Detection and Analysis of Network Motifs

Network Platform for Tourism Sector: Transformation and Interpretation of Multifaceted Data


SPHinXsys provides C++ APIs for engineering simulation and optimization. It aims at complex systems driven by fluid, structure, multi-body dynamics and beyond. The multi-physics library is based on a unique and unified computational framework by which strong coupling has been achieved for all involved physics.

A multi-resolution SPH method for fluid-structure interactions

SPHinXsys: An open-source multi-physics and multi-resolution library based on smoothed particle hydrodynamics

An integrative smoothed particle hydrodynamics method for modeling cardiac function

Computer Methods in Applied Mechanics and Engineering

An efficient fully Lagrangian solver for modeling wave interaction with oscillating wave surge converter

A simple artificial damping method for total Lagrangian smoothed particle hydrodynamics

An SPH formulation for general plate and shell structures with finite deformation and large rotation

A fourth-order kernel for improving numerical accuracy and stability in Eulerian and total Lagrangian SPH

Extended Eulerian SPH and its realization of FVM

Essentially non-hourglass and non-tensile-instability SPH elastic dynamics


3D Reconstruction Software

A Survey of Embodied AI: From Simulators to Research Tasks

SERV-CT: A disparity dataset from cone-beam CT for validation of endoscopic 3D reconstruction

A Study of 3D Digitisation Modalities for Crime Scene Investigation

Three-Dimensional Human Head Reconstruction Using Smartphone-Based Close-Range Video Photogrammetry

Simulation Environment for Safety Assessment of CEAV Deployment in Linden

3D Surface Reconstruction From Multi-Date Satellite Images

The international archives of the photogrammetry, remote sensing and spatial information sciences/International archives of the photogrammetry, remote sensing and spatial information sciences

Ichnotaxonomy and trackmaker assignment of tetrapod tracks and swimming traces from the Middle Permian Hornburg Formation of Saxony-Anhalt (Germany)

Annales Societatis Geologorum Poloniae/Rocznik Polskiego Towarzystwa Geologicznego

A Simple Way to Reduce 3D Model Deformation in Smartphone Photogrammetry

A Photogrammetry-based Framework to Facilitate Image-based Modeling and Automatic Camera Tracking

Single-Camera 3D Head Fitting for Mixed Reality Clinical Applications


Flang is a Fortran language front-end designed for integration with LLVM.

LLOV: A Fast Static Data-Race Checker for OpenMP Programs

ACM Transactions on Architecture and Code Optimization (TACO)

Bridging Control-Centric and Data-Centric Optimization

Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization

An LLVM Instrumentation Plug-in for Score-P

Proceedings of the Fourth Workshop on the LLVM Compiler Infrastructure in HPC

Online Application Guidance for Heterogeneous Memory Systems


The gem5 Simulator: Version 20.0+

Multi Fluxon Storage and its Implications for Microprocessor Design

Advanced virtual prototyping for cyber-physical systems using RISC-V: implementation, verification and challenges

PANDA: Architecture-Level Power Evaluation by Unifying Analytical and Machine Learning Solutions

A RISC-V SystemC-TLM simulator

An Efficient Runtime Validation Framework based on the Theory of Refinement

RVCoreP-32IC: A high-performance RISC-V soft processor with an efficient
  fetch unit supporting the compressed instructions

Randomized Testing of RISC-V CPUs Using Direct Instruction Injection

Permissionless Refereed Tournaments


Plotting library for IPython/Jupyter notebooks

Vaex: big data exploration in the era of Gaia

AiiDAlab – an ecosystem for developing, executing, and sharing scientific workflows

Notable: On-the-fly Assistant for Data Storytelling in Computational Notebooks

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

RaDMaX online: a web-based program for the determination of strain and damage profiles in irradiated crystals using X-ray diffraction

SuperNOVA: Design Strategies and Opportunities for Interactive Visualization in Computational Notebooks

widgyts: Custom Jupyter Widgets for Interactive Data Exploration with yt

An accessible infrastructure for artificial intelligence using a Docker-based JupyterLab in Galaxy


Prototype implementation of IOTA 2.0

Access Control for Distributed Ledgers in the Internet of Things: A Networking Approach

Towards a Blockchain-Based Multi-UAV Surveillance System

Impact of delay classes on the data structure in IOTA

HybridChain: Fast, Accurate, and Secure Transaction Processing With Distributed Learning

The security of the Coordicide: the implementation and analysis of possible attack vectors


Structured Text Generation

Sequential Monte Carlo Steering of Large Language Models using Probabilistic Programs

Efficient Guided Generation for Large Language Models

Code Pretraining Improves Entity Tracking Abilities of Language Models

Automata-based constraints for language model decoding

PAPERCLIP: Associating Astronomical Observations and Natural Language
  with Multi-Modal Models

Comparing Plausibility Estimates in Base and Instruction-Tuned Large
  Language Models

Towards Consistent Language Models Using Declarative Constraints

CoLLEGe: Concept Embedding Generation for Large Language Models

Leveraging Large Language Models for enhanced personalised user experience in Smart Homes


A coupling library for partitioned multi-physics simulations, including, but not restricted to fluid-structure interaction and conjugate heat transfer simulations.

preCICE v2: A sustainable and user-friendly coupling library

Quasi‐Newton waveform iteration for partitioned surface‐coupled multiphysics applications

Steady-State Anderson Accelerated Coupling of Lattice Boltzmann and Navier-Stokes Solvers

CFD/CSD Coupling for an Isolated Rotor Using preCICE

Efficient and Scalable Initialization of Partitioned Coupled Simulations with preCICE

Gym-preCICE: Reinforcement Learning Environments for Active Flow Control


An elegant PyTorch deep reinforcement learning library.

PettingZoo: Gym for Multi-Agent Reinforcement Learning

Tianshou: a Highly Modularized Deep Reinforcement Learning Library

Learning Certified Control using Contraction Metric

Human-Level Control through Directly-Trained Deep Spiking Q-Networks

Regret Minimization Experience Replay in Off-Policy Reinforcement Learning

Neural Ordinary Differential Equation Control of Dynamics on Graphs

OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research

Multi-agent Dynamic Algorithm Configuration

Reward-Adaptive Reinforcement Learning: Dynamic Policy Gradient Optimization for Bipedal Locomotion

Hierarchical Reinforcement Learning with Timed Subgoals


PyPSA-Eur: A Sector-Coupled Open Optimisation Model of the European Energy System

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

Global estimations of wind energy potential considering seasonal air density changes

Intersecting near-optimal spaces: European power systems with more resilience to weather variability

Evaluation of Temporal Complexity Reduction Techniques Applied to Storage Expansion Planning in Power System Models

Using power system modelling outputs to identify weather-induced extreme events in highly renewable systems

Creation of a computational framework for the European transmission grid with Power-to-Gas

International Universities Power Engineering Conference

Automatic Generation of Topology Diagrams for Strongly-Meshed Power Transmission Systems

PyPSA-Eur: An Open Optimisation Model of the European Transmission System (Dataset)

Zenodo (CERN European Organization for Nuclear Research)