The OpenWayback Development

ArchiveSpark: Efficient Web Archive Access, Extraction and Derivation

MementoMap Framework for Flexible and Adaptive Web Archive Profiling

Archive Assisted Archival Fixity Verification Framework

Difficulties of Timestamping Archived Web Pages

On the Applicability of Delicious for Temporal Search on Web Archives

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

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

ACM/IEEE Joint Conference on Digital Libraries

Collecting 16K archived web pages from 17 public web archives

Full-Text and URL Search Over Web Archives

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

Impact of HTTP Cookie Violations in Web Archives


eBPF/XDP-based software framework for fast network services running in the Linux kernel.

The rise of eBPF for non-intrusive performance monitoring

Network Operations and Management Symposium

A Service-Agnostic Software Framework for Fast and Efficient In-Kernel Network Services

Zenodo (CERN European Organization for Nuclear Research)

A Control Plane Enabling Automated and Fully Adaptive Network Traffic Monitoring With eBPF

Run-Time Adaptive In-Kernel BPF/XDP Solution for 5G UPF


Mobility as a Service API - data model, tests, and validation


MAPL is a foundation layer of the GEOS architecture, whose original purpose is to supplement the Earth System Modeling Framework (ESMF)


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

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

A Unified Deep Framework for Joint 3D Pose Estimation and Action Recognition from a Single RGB Camera

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

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

Human-Robot Motion Control Application with Artificial Intelligence for a Cooperating YuMi Robot


This is the GitHub repository for STELLOPT, the state-of-the-art stellarator optimization code.

A quasi-isodynamic configuration with good confinement of fast ions at low plasma β

Design of an arrangement of cubic magnets for a quasi-axisymmetric stellarator experiment

Gradient-based optimization of 3D MHD equilibria

A neoclassically optimized compact stellarator with four planar coils


A federated learning framework to support scalable and reproducible research

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

Pisces: Efficient Federated Learning via Guided Asynchronous Training

FedFair^3: Unlocking Threefold Fairness in Federated Learning


Python library and CLI tool to interface with Google Translate's text-to-speech API

Variational Reasoning for Question Answering with Knowledge Graph

Representations of language in a model of visually grounded speech signal

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017), VOL 1

Encoding of phonology in a recurrent neural model of grounded speech

Conference on Computational Natural Language Learning

Visually grounded models of spoken language: A survey of datasets, architectures and evaluation techniques

Using Spoken Word Posterior Features in Neural Machine Translation

International Workshop on Spoken Language Translation

TIMIT-TTS: A Text-to-Speech Dataset for Multimodal Synthetic Media Detection

ASDF: A Differential Testing Framework for Automatic Speech Recognition Systems

A Framework for Automatic Generation of Spoken Question-Answering Data

Findings of the Association for Computational Linguistics: EMNLP 2022


LibRec: A Leading Java Library for Recommender Systems, see

Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation

IEEE transactions on knowledge and data engineering

Sampling-Decomposable Generative Adversarial Recommender

Improving accountability in recommender systems research through reproducibility

Fast Variational AutoEncoder with Inverted Multi-Index for Collaborative Filtering

Recipe Recommendation With Hierarchical Graph Attention Network

A User's Guide to CARSKit


A linear optimisation model for distributed energy systems

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

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

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


Blue Brain Python Optimisation Library

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

Perceptron Learning and Classification in a Modeled Cortical Pyramidal Cell

A calcium-based plasticity model for predicting long-term potentiation and depression in the neocortex

The EBRAINS NeuroFeatureExtract: An Online Resource for the Extraction of Neural Activity Features From Electrophysiological Data

The EBRAINS Hodgkin-Huxley Neuron Builder: An online resource for building data-driven neuron models

Scaling and Benchmarking an Evolutionary Algorithm for Constructing Biophysical Neuronal Models


An open source python package for implementing and developing standard methods for calculating normalized metered energy consumption and avoided energy use.

Empirical Estimation of the Energy Impacts of Projects Installed through Residential Property Assessed Clean Energy Financing Programs in California


Reed-Solomon Erasure Coding in Go

InfiniCache: Exploiting Ephemeral Serverless Functions to Build a Cost-Effective Memory Cache

Leopard: Towards High Throughput-Preserving BFT for Large-scale Systems

Adding Forward Erasure Correction to QUIC


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

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

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

4-clique Network Minor Embedding for Quantum Annealers

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


FedScale is a scalable and extensible open-source federated learning (FL) platform.

FedScale: Benchmarking Model and System Performance of Federated Learning at Scale

pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning

Recent Advances on Federated Learning: A Systematic Survey

FLINT: A Platform for Federated Learning Integration


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

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


Sustainable transport planning with R

stplanr: A Package for Transport Planning

Cycling injury risk in Britain: A case-crossover study of infrastructural and route environment correlates


RNA-seq aligner

The Cancer Genome Atlas Comprehensive Molecular Characterization of Renal Cell Carcinoma

Integrated Proteogenomic Characterization of HBV-Related Hepatocellular Carcinoma

Genetic Drivers of Epigenetic and Transcriptional Variation in Human Immune Cells

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

Maternal H3K27me3 controls DNA methylation-independent imprinting

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

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

bioRxiv : the preprint server for biology

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

The Implication of Early Chromatin Changes in X Chromosome Inactivation

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


Face recognition using Tensorflow

FaceNet: A Unified Embedding for Face Recognition and Clustering

DeepFakes: a New Threat to Face Recognition? Assessment and Detection

AI Benchmark: Running Deep Neural Networks on Android Smartphones

On the Reconstruction of Face Images from Deep Face Templates

SER-FIQ: Unsupervised Estimation of Face Image Quality Based on Stochastic Embedding Robustness

Semantically Decomposing the Latent Spaces of Generative Adversarial Networks

Deep Face Representations for Differential Morphing Attack Detection

A Comprehensive Study on Face Recognition Biases Beyond Demographics

Face Recognition: Primates in the Wild

Mitigating dataset harms requires stewardship: Lessons from 1000 papers


Acceptance rates for the major AI conferences

Improving Reproducibility in Machine Learning Research (A Report from the NeurIPS 2019 Reproducibility Program)

HARK Side of Deep Learning -- From Grad Student Descent to Automated
  Machine Learning

Some Ethical Issues in the Review Process of Machine Learning
  Conferences


Power Tools for AI Engineers With Deadlines


KenLM: Faster and Smaller Language Model Queries

BLiMP: The Benchmark of Linguistic Minimal Pairs for English

An Empirical Comparison of Simple Domain Adaptation Methods for Neural Machine Translation

言語処理学会年次大会発表論文集(Web)

Fully Non-autoregressive Neural Machine Translation: Tricks of the Trade

Uncertainty-Aware Curriculum Learning for Neural Machine Translation

Meeting of the Association for Computational Linguistics

On the Relation between Linguistic Typology and (Limitations of) Multilingual Language Modeling

Empirical Methods in Natural Language Processing

Natural Language Statistical Features of LSTM-Generated Texts

IEEE transactions on neural networks and learning systems

Lower Perplexity is Not Always Human-Like

Language Modeling for Morphologically Rich Languages: Character-Aware Modeling for Word-Level Prediction

Transactions of the Association for Computational Linguistics

Extracting Parallel Sentences with Bidirectional Recurrent Neural Networks to Improve Machine Translation

EVA2.0: Investigating Open-domain Chinese Dialogue Systems with Large-scale Pre-training


Surrogate Modeling Toolbox

Gradient-enhanced kriging for high-dimensional problems

Implicit differentiation of Lasso-type models for hyperparameter optimization

Deep Gaussian Process Emulation using Stochastic Imputation

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

Effectively using multifidelity optimization for wind turbine design

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

Large-Scale Path-Dependent Optimization of Supersonic Aircraft

A mixed-categorical correlation kernel for Gaussian process

Aerostructural Wing Optimization of a Regional Jet Considering Mission Fuel Burn


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

Return-Oriented Programming on RISC-V

Analyzing the Gadgets Towards a Metric to Measure Gadget Quality

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

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

A TOCTOU Attack on DICE Attestation

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

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

MAJORCA: Multi-Architecture JOP and ROP Chain Assembler

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

Artificial Intelligence, Soft Computing and Applications


A Survey on Data Plane Programming with P4: Fundamentals, Advances, and
  Applied Research

Gauntlet: Finding Bugs in Compilers for Programmable Packet Processing

P4Testgen: An Extensible Test Oracle For P4


A Python scikit for building and analyzing recommender systems

DARec: Deep Domain Adaptation for Cross-Domain Recommendation via Transferring Rating Patterns

Improving accountability in recommender systems research through reproducibility

New Vector-Space Embeddings for Recommender Systems

Application of Knowledge Graphs to Provide Side Information for Improved Recommendation Accuracy


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

Performance of Different Crop Models in Simulating Soil Temperature

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


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

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

ACM transactions on software engineering and methodology

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

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

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/IEEE communications surveys and tutorials

Decentralization in Bitcoin and Ethereum Networks

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

Eclipsing Ethereum Peers with False Friends

Lightweight Collaborative Anomaly Detection for the IoT using Blockchain

Strategic Latency Reduction in Blockchain Peer-to-Peer Networks

Security Review of Ethereum Beacon Clients

Consensus on Demand

A First Look into the Structural Properties and Resilience of Blockchain
  Overlays

Last Mile of Blockchains: RPC and Node-as-a-service


eXtensible Neural Machine Translation

MuST-C: a Multilingual Speech Translation Corpus

North American Chapter of the Association for Computational Linguistics

Attention-Passing Models for Robust and Data-Efficient End-to-End Speech Translation

Toward Robust Neural Machine Translation for Noisy Input Sequences

XNMT: The eXtensible Neural Machine Translation Toolkit

Cascade versus Direct Speech Translation: Do the Differences Still Make a Difference?

Linguistic unit discovery from multi-modal inputs in unwritten languages: Summary of the "Speaking Rosetta" JSALT 2017 Workshop

Under the Morphosyntactic Lens: A Multifaceted Evaluation of Gender Bias in Speech Translation

Evaluating Gender Bias in Speech Translation

How to Split: the Effect of Word Segmentation on Gender Bias in Speech Translation

On the Dynamics of Gender Learning in Speech Translation

Proceedings of the 4th Workshop on Gender Bias in Natural Language Processing (GeBNLP)


A Deep Learning based project for colorizing and restoring old images (and video!)

GANs Trained by a Two Time-Scale Update Rule Converge to a Local Nash Equilibrium

Self-Attention Generative Adversarial Networks

Instance-aware Image Colorization

A Survey of Deep Learning for Scientific Discovery

Towards Vivid and Diverse Image Colorization with Generative Color Prior

SCGAN: Saliency Map-Guided Colorization With Generative Adversarial Network

IEEE transactions on circuits and systems for video technology

Time-Travel Rephotography

BigColor: Colorization using a Generative Color Prior for Natural Images

Pixel-Aware Stable Diffusion for Realistic Image Super-resolution and
  Personalized Stylization

PalGAN: Image Colorization with Palette Generative Adversarial Networks


SERV - The SErial RISC-V CPU

Don't CWEAT It

Proceedings of the 41st IEEE/ACM International Conference on Computer-Aided Design

Design and Implementation of a Secure RISC-V Microprocessor


SGX-LKL Library OS for running Linux applications inside of Intel SGX enclaves

Using Trusted Execution Environments for Secure Stream Processing of Medical Data

Machine Learning with Confidential Computing: A Systematization of
  Knowledge

Isolating Real-Time Safety-Critical Embedded Systems via SGX-based Lightweight Virtualization

Understanding TEE Containers, Easy to Use? Hard to Trust

Walnut: A low-trust trigger-action platform.

Securing Big Data Scientific Workflows via Trusted Heterogeneous Environments

IEEE Transactions on Dependable and Secure Computing/IEEE transactions on dependable and secure computing


EUTelescope -- A Generic Pixel Telescope Data Analysis Framework

Feasibility of track-based multiple scattering tomography

EUTelescope: A modular reconstruction framework for beam telescope data

Resolution studies with the DATURA beam telescope

The Measurement of Position Resolution of RD53A Pixel Modules


Medical Imaging Deep Learning library to train and deploy 3D segmentation models on Azure Machine Learning

Active label cleaning for improved dataset quality under resource constraints

Weakly Supervised Learning Significantly Reduces the Number of Labels
  Required for Intracranial Hemorrhage Detection on Head CT

Integrating Artificial Intelligence Tools in the Clinical Research Setting: The Ovarian Cancer Use Case


:stuck_out_tongue_closed_eyes: TensorFlowTTS: Real-Time State-of-the-art Speech Synthesis for Tensorflow 2 (supported including English, French, Korean, Chinese, German and Easy to adapt for other languages)

Natural TTS Synthesis by Conditioning Wavenet on MEL Spectrogram Predictions

Tacotron: Towards End-to-End Speech Synthesis

HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis

FastSpeech 2: Fast and High-Quality End-to-End Text to Speech

MelGAN: Generative Adversarial Networks for Conditional Waveform Synthesis

Parallel Wavegan: A Fast Waveform Generation Model Based on Generative Adversarial Networks with Multi-Resolution Spectrogram

FastSpeech: Fast, Robust and Controllable Text to Speech

A Survey on Neural Speech Synthesis

ESPnet2-TTS: Extending the Edge of TTS Research

"Hello, It's Me": Deep Learning-based Speech Synthesis Attacks in the Real World

Conference on Computer and Communications Security


CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)

Graph Neural Networks: A Review of Methods and Applications

Graph Learning: A Survey

IEEE transactions on artificial intelligence

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

KG4SL: knowledge graph neural network for synthetic lethality prediction in human cancers

Graph Neural Networks: Methods, Applications, and Opportunities

Automated Graph Machine Learning: Approaches, Libraries and Directions

Blindfolded Attackers Still Threatening: Strict Black-Box Adversarial Attacks on Graphs

Graph Mining for Cybersecurity: A Survey


The fundamental package for scientific computing with Python.

SciPy 1.0: fundamental algorithms for scientific computing in Python

Highly accurate protein structure prediction with AlphaFold

Array programming with NumPy

PRIMERA: Pyramid-based Masked Sentence Pre-training for Multi-document Summarization

Restoring and attributing ancient texts using deep neural networks

FLEX: Unifying Evaluation for Few-Shot NLP

FluxFix: automatic isotopologue normalization for metabolic tracer analysis

Fixed-Budget Best-Arm Identification in Structured Bandits

Hypothesis: A new approach to property-based testing

How bugs are born: a model to identify how bugs are introduced in software components


pure-Python HistFactory implementation with tensors and autodiff

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

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

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.

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

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

SModelS Database Update v1.2.3

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

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

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

Differentiable Matrix Elements with MadJax


Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

Generalizing to Unseen Domains: A Survey on Domain Generalization

Visual Domain Adaptation with Manifold Embedded Distribution Alignment

A Review of Single-Source Deep Unsupervised Visual Domain Adaptation

Transfer Learning with Dynamic Distribution Adaptation

ACM transactions on intelligent systems and technology

Easy Transfer Learning By Exploiting Intra-domain Structures

AdaRNN: Adaptive Learning and Forecasting of Time Series

Learning What and Where to Transfer

Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning

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

Adaptive Trajectory Prediction via Transferable GNN

Exploiting Adapters for Cross-lingual Low-resource Speech Recognition


Advanced Multilanguage Interface to CVODES and IDAS

A protocol for dynamic model calibration

AMICI: High-Performance Sensitivity Analysis for Large Ordinary Differential Equation Models

Efficient parameterization of large-scale dynamic models based on relative measurements

Optimization and profile calculation of ODE models using second order adjoint sensitivity analysis

The first 10 years of the international coordination network for standards in systems and synthetic biology (COMBINE)

COVID-19 outbreak in Wuhan demonstrates the limitations of publicly available case numbers for epidemiological modeling

A more expressive spline representation for SBML models improves code generation performance in AMICI

COVID-19 outbreak in Wuhan demonstrates the limitations of publicly available case numbers for epidemiological modelling.


The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

The ExAC browser: displaying reference data information from over 60 000 exomes

Discovering community patterns in open-source: a systematic approach and its evaluation

MDR: an integrative DNA N6-methyladenine and N4-methylcytosine modification database for Rosaceae

An E-government Interoperability Platform Supporting Personal Data Protection Regulations

Which Pull Requests Get Accepted and Why? A study of popular NPM Packages.

Developing a knowledge base to support the annotation of ultrasound images of ectopic pregnancy

GHTraffic: A Dataset for Reproducible Research in Service-Oriented Computing

Estimating Patch Propagation Times across (Blockchain) Forks


Officially supported AllenNLP models

ViLBERT: Pretraining Task-Agnostic Visiolinguistic Representations for Vision-and-Language Tasks

Incorporating Copying Mechanism in Sequence-to-Sequence Learning

Commonsense and Named Entity Aware Knowledge Grounded Dialogue Generation

Stress Test Evaluation of Biomedical Word Embeddings

Workshop on Biomedical Natural Language Processing

Improving Portuguese Semantic Role Labeling with Transformers and Transfer Learning

Extending Phrase Grounding with Pronouns in Visual Dialogues

Using Multi-Encoder Fusion Strategies to Improve Personalized Response
  Selection


SRA Tools

Database resources of the National Center for Biotechnology Information

damidseq_pipeline: an automated pipeline for processing DamID sequencing datasets

Genome-wide study of hair colour in UK Biobank explains most of the SNP heritability

Accurate, scalable cohort variant calls using DeepVariant and GLnexus

An improved zebrafish transcriptome annotation for sensitive and comprehensive detection of cell type-specific genes

Unique Molecular Identifiers reveal a novel sequencing artefact with implications for RNA-Seq based gene expression analysis

Environmental and epigenetic regulation of Rider retrotransposons in tomato

DISCO: a database of Deeply Integrated human Single-Cell Omics data

PyBSASeq: a simple and effective algorithm for bulked segregant analysis with whole-genome sequencing data

Automatic Identification of Players in the Flavonoid Biosynthesis with Application on the Biomedicinal Plant Croton tiglium


Efficient few-shot learning with Sentence Transformers

Efficient Few-Shot Learning Without Prompts

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

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

Like a Good Nearest Neighbor: Practical Content Moderation and Text Classification

In-Context Learning for Text Classification with Many Labels

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

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

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

Automated Few-shot Classification with Instruction-Finetuned Language
  Models

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


Equinox: neural networks in JAX via callable PyTrees and filtered
  transformations

FedJAX: Federated learning simulation with JAX

When should agents explore?

Return-based Scaling: Yet Another Normalisation Trick for Deep RL


Open Global Glacier Model

The Open Global Glacier Model (OGGM) v1.0

Impact of frontal ablation on the ice thickness estimation of marine-terminating glaciers in Alaska

Initialization of a global glacier model based on present-day glacier geometry and past climate information: an ensemble approach


Open Source Neural Machine Translation in Torch (deprecated)

OpenNMT: Open-Source Toolkit for Neural Machine Translation

HotFlip: White-Box Adversarial Examples for NLP

Text Style Transfer: A Review and Experimental Evaluation

Answer-driven Deep Question Generation based on Reinforcement Learning

International Conference on Computational Linguistics

An Augmented Transformer Architecture for Natural Language Generation Tasks

Analyzing Knowledge Distillation in Neural Machine Translation

International Workshop on Spoken Language Translation

Hybrid Data-Model Parallel Training for Sequence-to-Sequence Recurrent Neural Network Machine Translation

DFKI-MLT System Description for the WMT18 Automatic Post-editing Task

Proceedings of the Third Conference on Machine Translation: Shared Task Papers

Language Generation via DAG Transduction

PROCEEDINGS OF THE 56TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL), VOL 1

Neural Machine Translation from Historical Japanese to Contemporary Japanese Using Diachronically Domain-Adapted Word Embeddings

Pacific Asia Conference on Language, Information, and Computation


Simons Stellarator Optimizer Code

Modeling of energetic particle transport in optimized stellarators

Combined plasma-coil optimization algorithms

Direct computation of magnetic surfaces in Boozer coordinates and coil optimization for quasisymmetry

Direct stellarator coil optimization for nested magnetic surfaces with precise quasi-symmetry

The magnetic gradient scale length explains why certain plasmas require close external magnetic coils

Meta variance reduction for Monte Carlo estimation of energetic particle confinement during stellarator optimization


This repostory contains software for the virtual track of the DARPA SubT Challenge. Within this repository you will find Gazebo simulation assets, ROS interfaces, support scripts and plugins, and documentation needed to compete in the SubT Virtual Challenge.

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

Graph-Based Topological Exploration Planning in Large-Scale 3D
  Environments

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

MARSIM: A Light-Weight Point-Realistic Simulator for LiDAR-Based UAVs

InTEn-LOAM: Intensity and Temporal Enhanced LiDAR Odometry and Mapping


Python Simulation Tool for Fractured and Deformable Porous Media

DuMux 3 – an open-source simulator for solving flow and transport problems in porous media with a focus on model coupling

Computers and Mathematics with Applications

PorePy: an open-source software for simulation of multiphysics processes in fractured porous media

Dual Virtual Element Methods for Discrete Fracture Matrix models

Verification benchmarks for single-phase flow in three-dimensional fractured porous media

Conforming, non-conforming and non-matching discretization couplings in discrete fracture network simulations

PorePy: An Open-Source Simulation Tool for Flow and Transport in Deformable Fractured Rocks.

Numerical Methods for Flow in Fractured Porous Media

Dual virtual element method in presence of an inclusion

Implementation of mixed-dimensional models for flow in fractured porous media

Numerical computation of stress-permeability relationships of fracture networks in a shale rock.


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

Sequence Level Semantics Aggregation for Video Object Detection

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

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


SCIP - Solving Constraint Integer Programs

A Unified Framework for Symmetry Handling

The SCIP Optimization Suite 9.0

Combining Precision Boosting with LP Iterative Refinement for Exact
  Linear Optimization


Open source tools for Estonian natural language processing

EstNLTK - NLP Toolkit for Estonian

EstNLTK 1.6: Remastered Estonian NLP Pipeline

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

Evaluating Language Tools for Fifteen EU-official Under-resourced Languages

Lexicon-Enhanced Neural Lemmatization for Estonian

HUMAN LANGUAGE TECHNOLOGIES - THE BALTIC PERSPECTIVE (HLT 2020)


AdAway is a free and open source ad blocker for Android.

PI-Link: A Ground-Truth Dataset of Links Between Pull-Requests and Issues in GitHub

ML-Augmented Automation for Recovering Links Between Pull-Requests and Issues on GitHub


Elephant is the Electrophysiology Analysis Toolkit

Perineuronal nets stabilize the grid cell network

Massively parallel recordings in macaque motor cortex during an instructed delayed reach-to-grasp task

Neural Latents Benchmark '21: Evaluating latent variable models of
  neural population activity

Focal Local Field Potential Signature of the Single-Axon Monosynaptic Thalamocortical Connection

The journal of neuroscience/The Journal of neuroscience

CalciumGAN: A Generative Adversarial Network Model for Synthesising Realistic Calcium Imaging Data of Neuronal Populations.

Acceleration of the SPADE Method Using a Custom-Tailored FP-Growth Implementation

Oscillatory waveform shape and temporal spike correlations differ across bat frontal and auditory cortex

Dopaminergic and Cholinergic Modulation of Large Scale Networks in silico Using Snudda


Code Generation Framework For NEURON MODeling Language

An Optimizing Multi-platform Source-to-source Compiler Framework for the NEURON MODeling Language

Efficient Simulation of 3D Reaction-Diffusion in Models of Neurons and Networks


Python API for Emma's Markov Model Algorithms

Kinetic Distance and Kinetic Maps from Molecular Dynamics Simulation

Variational Selection of Features for Molecular Kinetics

Communication: Consistent interpretation of molecular simulation kinetics using Markov state models biased with external information


The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

Momentum Contrast for Unsupervised Visual Representation Learning

A Metric Learning Reality Check

PyTorch Metric Learning

metric-learn: Metric Learning Algorithms in Python

SL-DML: Signal Level Deep Metric Learning for Multimodal One-Shot Action Recognition

Papillary Thyroid Carcinoma Landscape and Its Immunological Link With Hashimoto Thyroiditis at Single-Cell Resolution

Frontiers in cell and developmental biology

Supervised Metric Learning for Music Structure Features

A framework to enhance generalization of deep metric learning methods using general discriminative feature learning and class adversarial neural networks

Hierarchical Average Precision Training for Pertinent Image Retrieval

Aurora Image Classification with Deep Metric Learning


Lightning ⚡ fast forecasting with statistical and econometric models.

Pushing the Limits of Pre-training for Time Series Forecasting in the
  CloudOps Domain

HierarchicalForecast: A Reference Framework for Hierarchical Forecasting
  in Python

Sequential Monte Carlo Learning for Time Series Structure Discovery


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

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

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

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


Dependent Types in Haskell: Theory and Practice

Ephemeral Data Handling in Microservices - Technical Report.


A community-driven ontology for the representation of environments

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

MIxS-SA: a MIxS extension defining the minimum information standard for sequence data from symbiont-associated micro-organisms


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)


Reference implementation and documentation of a LoRa network node.

A Dual Key-Based Activation Scheme for Secure LoRaWAN

Wireless communications and mobile computing

Minimizing power consumption of LoRa ® and LoRaWAN for low-power wireless sensor nodes

LoRaWAN Physical Layer-Based Attacks and Countermeasures, A Review

Open-source low-cost design of a buoy for remote water quality monitoring in fish farming

KRATOS: An Open Source Hardware-Software Platform for Rapid Research in LPWANs

LoRaWAN with HSM as a Security Improvement for Agriculture Applications

Zenodo (CERN European Organization for Nuclear Research)

Low-Power Wide-Area Network Design


ClimaAtmos.jl is a library for building atmospheric circulation models that is designed from the outset to leverage data assimilation and machine learning tools. We welcome contributions!


A C++ library for efficient tensor network calculations

The ITensor Software Library for Tensor Network Calculations

Reconstructing quantum states with generative models

Optimization of infinite projected entangled pair states: The role of multiplets and their breaking


WebGL-based viewer for volumetric data

Functional connectomics spanning multiple areas of mouse visual cortex

Cellular anatomy of the mouse primary motor cortex

The natverse, a versatile toolbox for combining and analysing neuroanatomical data

neuPrint: Analysis Tools for EM Connectomics

Large Volume Electron Microscopy and Neural Microcircuit Analysis

neuPrint: An open access tool for EM connectomics

UNI-EM: An Environment for Deep Neural Network-Based Automated Segmentation of Neuronal Electron Microscopic Images

DVID: Distributed Versioned Image-Oriented Dataservice

Neuronal circuits integrating visual motion information in Drosophila melanogaster

Petascale neural circuit reconstruction: automated methods


Segmentation models with pretrained backbones. PyTorch.

UNet++: A Nested U-Net Architecture for Medical Image Segmentation

MA-Net: A Multi-Scale Attention Network for Liver and Tumor Segmentation

Accuracy on the Line: On the Strong Correlation Between Out-of-Distribution and In-Distribution Generalization

Medical Image Segmentation Using Squeeze-and-Expansion Transformers

Robust deep learning-based semantic organ segmentation in hyperspectral images

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

Learning Affordance Landscapes for Interaction Exploration in 3D Environments

Addressing materials' microstructure diversity using transfer learning

Conffusion: Confidence Intervals for Diffusion Models

Cascade UNet and CH-UNet for Thyroid Nodule Segmentation and Benign and Malignant Classification

Medical Image Computing and Computer-Assisted Intervention


The Genie open source kit for voice assistant (formerly known as Almond)

Genie: a generator of natural language semantic parsers for virtual assistant commands

Programming Language Design and Implementation

AutoQA: From Databases To QA Semantic Parsers With Only Synthetic Training Data

Schema2QA: High-Quality and Low-Cost Q&A Agents for the Structured Web

Finding needles in a haystack: Sampling Structurally-diverse Training Sets from Synthetic Data for Compositional Generalization

ThingTalk: An Extensible, Executable Representation Language for
  Task-Oriented Dialogues


Bitcoin Improvement Proposals

Blockchain Technology Overview

A Survey on Consensus Mechanisms and Mining Strategy Management in Blockchain Networks

Hijacking Bitcoin: Routing Attacks on Cryptocurrencies

Atomic Cross-Chain Swaps

Decentralization in Bitcoin and Ethereum Networks

Concurrency and Privacy with Payment-Channel Networks

Bitcoin Meets Strong Consistency

Survey: Sharding in Blockchains

Detecting Mixing Services via Mining Bitcoin Transaction Network With Hybrid Motifs

The Unreasonable Effectiveness of Address Clustering


Enhancements tracking repo for Kubernetes

A Comprehensive Feature Comparison Study of Open-Source Container Orchestration Frameworks

NEPTUNE: Network- and GPU-aware Management of Serverless Functions at
  the Edge

Checkpoint, Restore, and Live Migration for Science Platforms

Tiny Autoscalers for Tiny Workloads: Dynamic CPU Allocation for Serverless Functions


An open-source Python package for designing and performing research on AguaClara water treatment plants.


An open source implementation of CLIP.

Learning Transferable Visual Models From Natural Language Supervision

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

CoCa: Contrastive Captioners are Image-Text Foundation Models

LiT: Zero-Shot Transfer with Locked-image text Tuning

EVA: Exploring the Limits of Masked Visual Representation Learning at Scale

Reproducible scaling laws for contrastive language-image learning

Large-scale Contrastive Language-Audio Pretraining with Feature Fusion and Keyword-to-Caption Augmentation

Scaling Language-Image Pre-training via Masking

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment

When and why vision-language models behave like bags-of-words, and what
  to do about it?


The Sherbrooke Connectivity Imaging Lab (SCIL) Python dMRI processing toolbox

Tractography dissection variability: What happens when 42 groups dissect 14 white matter bundles on the same dataset?

Detecting microstructural deviations in individuals with deep diffusion MRI tractometry

Brain microstructural changes and fatigue after COVID-19

TractoInferno - A large-scale, open-source, multi-site database for machine learning dMRI tractography

The frontotemporal organization of the arcuate fasciculus and its relationship with speech perception in young and older amateur singers and non‐singers

Short superficial white matter and aging: A longitudinal multi-site study of 1293 subjects and 2711 sessions

Reproducible protocol to obtain and measure first-order relay human thalamic white-matter tracts

Structural Connectivity Alterations in Operculo-Insular Epilepsy

Multi-tract multi-symptom relationships in pediatric concussion

Modern Technology in Multi-Shell Diffusion MRI Reveals Diffuse White Matter Changes in Young Adults With Relapsing-Remitting Multiple Sclerosis


[ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl

Revisiting Huffman Coding: Toward Extreme Performance on Modern GPU Architectures

Optimizing Huffman Decoding for Error-Bounded Lossy Compression on GPUs

Who Says Elephants Can't Run: Bringing Large Scale MoE Models into Cloud
  Scale Production

Numerical scattering amplitudes with pySecDec

Ultrafast Focus Detection for Automated Microscopy

Parallelizing Maximal Clique Enumeration on GPUs

Certified SAT solving with GPU accelerated inprocessing


Clean PyTorch implementations of imitation and reward learning algorithms

SOCIALGYM: A Framework for Benchmarking Social Robot Navigation

imitation: Clean Imitation Learning Implementations

On The Fragility of Learned Reward Functions

Inferring Versatile Behavior from Demonstrations by Matching Geometric
  Descriptors

CEIL: Generalized Contextual Imitation Learning

General Characterization of Agents by States they Visit

Transferable Reward Learning by Dynamics-Agnostic Discriminator Ensemble


A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

Deep Residual Learning for Image Recognition

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

Squeeze-and-Excitation Networks

Feature Pyramid Networks for Object Detection

Image-to-Image Translation with Conditional Adversarial Networks

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

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Aggregated Residual Transformations for Deep Neural Networks

Playing Atari with Deep Reinforcement Learning

Identity Mappings in Deep Residual Networks


Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

Pre-trained models for natural language processing: A survey

ERNIE: Enhanced Representation through Knowledge Integration

ERNIE 2.0: A Continual Pre-training Framework for Language Understanding

ERNIE-GEN: An Enhanced Multi-Flow Pre-training and Fine-tuning Framework for Natural Language Generation

UER: An Open-Source Toolkit for Pre-training Models

ERNIE-M: Enhanced Multilingual Representation by Aligning Cross-lingual Semantics with Monolingual Corpora

Correcting Chinese Spelling Errors with Phonetic Pre-training

Meeting of the Association for Computational Linguistics

TextBrewer: An Open-Source Knowledge Distillation Toolkit for Natural Language Processing

Learning Adaptive Segmentation Policy for Simultaneous Translation

PROCEEDINGS OF THE 2020 CONFERENCE ON EMPIRICAL METHODS IN NATURAL LANGUAGE PROCESSING (EMNLP)

ERNIE-Doc: A Retrospective Long-Document Modeling Transformer


Tools to process and analyze deep sequencing data.

deepTools2: a next generation web server for deep-sequencing data analysis

Chromatin-associated RNA sequencing (ChAR-seq) maps genome-wide RNA-to-DNA contacts

The changing mouse embryo transcriptome at whole tissue and single-cell resolution

The Polycomb-Dependent Epigenome Controls β Cell Dysfunction, Dedifferentiation, and Diabetes

Downy Mildew effector HaRxL21 interacts with the transcriptional repressor TOPLESS to promote pathogen susceptibility

SETD2 loss perturbs the kidney cancer epigenetic landscape to promote metastasis and engenders actionable dependencies on histone chaperone complexes

Chromatin-Based Classification of Genetically Heterogeneous AMLs into Two Distinct Subtypes with Diverse Stemness Phenotypes

YY1 Regulates Glucose Homeostasis Through Controlling Insulin Transcription in Pancreatic Beta Cells

TCR-independent CD137 (4-1BB) signaling promotes CD8+-exhausted T cell proliferation and terminal differentiation.

The BASP1 transcriptional corepressor modifies chromatin through lipid-dependent and lipid-independent mechanisms


System Advisor Model (SAM)

Review of Open Source Tools for PV Modeling

An Enhanced Two-Stage Grid-Connected Linear Parameter Varying Photovoltaic System Model for Frequency Support Strategy Evaluation


Collection of common code that's shared among different research projects in FAIR computer vision team.

Generating Videos with Dynamics-aware Implicit Generative Adversarial
  Networks

TinyViT: Fast Pretraining Distillation for Small Vision Transformers

Long-Short Transformer: Efficient Transformers for Language and Vision

SegViT: Semantic Segmentation with Plain Vision Transformers

Webly Supervised Concept Expansion for General Purpose Vision Models

pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning

Continual Learning with Foundation Models: An Empirical Study of Latent
  Replay

A Light Recipe to Train Robust Vision Transformers

DEVIANT: Depth EquiVarIAnt NeTwork for Monocular 3D Object Detection

Enriched CNN-Transformer Feature Aggregation Networks for Super-Resolution


Tessera - Enterprise Implementation of Quorum's transaction manager

A Smart Contract-Based Dynamic Consent Management System for Personal Data Usage under GDPR

A Consortium Blockchain-Based Secure and Trusted Electronic Portfolio Management Scheme

Demo: PhishChain: A Decentralized and Transparent System to Blacklist Phishing URLs


The Kalibr visual-inertial calibration toolbox

The Multivehicle Stereo Event Camera Dataset: An Event Camera Dataset for 3D Perception

International Conference on Robotics and Automation

The TUM VI Benchmark for Evaluating Visual-Inertial Odometry

Are We Ready for Service Robots? The OpenLORIS-Scene Datasets for Lifelong SLAM

Active Interaction Force Control for Omnidirectional Aerial Contact-Based Inspection

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

NTU VIRAL: A visual-inertial-ranging-lidar dataset, from an aerial vehicle viewpoint

The international journal of robotics research

Keyframe-based Direct Thermal-Inertial Odometry

The Double Sphere Camera Model

Visual-Thermal Landmarks and Inertial Fusion for Navigation in Degraded Visual Environments

C-blox: A Scalable and Consistent TSDF-based Dense Mapping Approach


Highly-accurate & wicked fast transcript-level quantification from RNA-seq reads using selective alignment

Alevin efficiently estimates accurate gene abundances from dscRNA-seq data

Alignment and mapping methodology influence transcript abundance estimation

A simple guide to de novo transcriptome assembly and annotation

Accelerating functional gene discovery in osteoarthritis

Genomic and transcriptomic characterization of delta SARS-CoV-2 infection in free-ranging white-tailed deer (Odocoileus virginianus)

Developmentally regulated activation of defense allows for rapid inhibition of infection in age-related resistance to Phytophthora capsici in cucumber fruit

Principles of RNA recruitment to viral ribonucleoprotein condensates in a segmented dsRNA virus

A highly expressed intestinal cysteine protease of Ancylostoma ceylanicum protects vaccinated hamsters from hookworm infection

A Bayesian framework for inter-cellular information sharing improves dscRNA-seq quantification

Comparative transcriptomic analysis of races 1, 2, 5 and 6 of Fusarium oxysporum f.sp. pisi in a susceptible pea host identifies differential pathogenicity profiles


Treetracker is Greenstands open source Android app to track and verify reforestation efforts globally. NEW DEVELOPERS:  Please refer to the README for is issue milestones and topics!  https://github.com/Greenstand/treetracker-android/blob/master/README.md


The prime repository for state-of-the-art Multilingual Question Answering research and development.

Learning Cross-Lingual IR from an English Retriever

MuMuQA: Multimedia Multi-Hop News Question Answering via Cross-Media Knowledge Extraction and Grounding

UDAPDR: Unsupervised Domain Adaptation via LLM Prompting and Distillation of Rerankers

Towards Robust Neural Retrieval with Source Domain Synthetic Pre-Finetuning

International Conference on Computational Linguistics

Moving Beyond Downstream Task Accuracy for Information Retrieval Benchmarking

Improving Low-Resource Question Answering using Active Learning in
  Multiple Stages

PrimeQA: The Prime Repository for State-of-the-Art Multilingual Question Answering Research and Development


Norwegian Earth System Model and Documentation

Supplementary material to "Model evaluation of short-lived climate forcers for the Arctic Monitoring and Assessment Programme: a multi-species, multi-model study"

Simulated Cycles of East Asian Temperature and Precipitation Over the Past 425 ka

Journal of geophysical research. Atmospheres


This is an open-source toolkit for Heterogeneous Graph Neural Network(OpenHGNN) based on DGL.

Self-supervised Heterogeneous Graph Neural Network with Co-contrastive Learning

Multiplex Heterogeneous Graph Convolutional Network

Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining

Space4HGNN: A Novel, Modularized and Reproducible Platform to Evaluate Heterogeneous Graph Neural Network

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

OpenHGNN: An Open Source Toolkit for Heterogeneous Graph Neural Network

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

MHNF: Multi-Hop Heterogeneous Neighborhood Information Fusion Graph Representation Learning

Automated Graph Machine Learning: Approaches, Libraries and Directions

Characterizing and Understanding HGNNs on GPUs

Zero-shot Transfer Learning within a Heterogeneous Graph via Knowledge
  Transfer Networks

Graph Mining for Cybersecurity: A Survey

Towards Relation-centered Pooling and Convolution for Heterogeneous
  Graph Learning Networks


Browser extension that automatically fills out cookie popups based on your preferences

Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence

PROCEEDINGS OF THE 2020 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI'20)

Circumvention by design -- dark patterns in cookie consents for online
  news outlets

Are cookie banners indeed compliant with the law

The Internet with Privacy Policies: Measuring The Web Upon Consent


A high-performance distributed training framework for Reinforcement Learning

Machine learning for intelligent optical networks: A comprehensive survey

Journal of network and computer applications

Learning to run a Power Network Challenge: a Retrospective Analysis

Artificial Intelligence for Prosthetics - challenge solutions

The Springer series on challenges in machine learning

Efficient and Robust Reinforcement Learning with Uncertainty-based Value Expansion

Action Set Based Policy Optimization for Safe Power Grid Management


ngtcp2 project is an effort to implement IETF QUIC protocol

Implementation and Analysis of QUIC for MQTT

Revisiting QUIC attacks: a comprehensive review on QUIC security and a hands-on study

QUIC Throughput and Fairness over Dual Connectivity

Lifting Network Protocol Implementation to Precise Format Specification with Security Applications


Tools for curating biomedical training data for large-scale language modeling

Transfer Learning in Biomedical Natural Language Processing: An Evaluation of BERT and ELMo on Ten Benchmarking Datasets

BigBIO: A Framework for Data-Centric Biomedical Natural Language
  Processing

In-BoXBART: Get Instructions into Biomedical Multi-Task Learning


A flexible DICOM converter for organizing brain imaging data into structured directory layouts

MRIQC: Advancing the automatic prediction of image quality in MRI from unseen sites

Everything Matters: The ReproNim Perspective on Reproducible Neuroimaging

A studyforrest extension, simultaneous fMRI and eye gaze recordings during prolonged natural stimulation

A studyforrest extension, retinotopic mapping and localization of higher visual areas

Open and reproducible neuroimaging: From study inception to publication

From Visual Perception to Aesthetic Appeal: Brain Responses to Aesthetically Appealing Natural Landscape Movies

Monash DaCRA fPET-fMRI: A dataset for comparison of radiotracer administration for high temporal resolution functional FDG-PET

Magnetic Resonance Imaging Sequence Identification Using a Metadata Learning Approach

Faster than thought: Detecting sub-second activation sequences with sequential fMRI pattern analysis

The Role of Family-Level Factors in Childhood Anxiety During the COVID-19 Pandemic


Unify Efficient Fine-Tuning of 100+ LLMs

Training language models to follow instructions with human feedback

LoRA: Low-Rank Adaptation of Large Language Models

Finetuned Language Models Are Zero-Shot Learners

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

Large Language Models for Software Engineering: A Systematic Literature
  Review

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

Alleviating Hallucinations of Large Language Models through Induced
  Hallucinations

Automated Claim Matching with Large Language Models: Empowering Fact-Checkers in the Fight Against Misinformation

Understanding In-Context Learning from Repetitions

ESRL: Efficient Sampling-based Reinforcement Learning for Sequence
  Generation


Phantom Smoothed Particle Hydrodynamics and Magnetohydrodynamics code

On the cavity size in circumbinary discs

A likely flyby of binary protostar Z CMa caught in action

On the rise times in FU Orionis events

Monthly Notices of the Royal Astronomical Society: Letters

Circumbinary disc self-gravity governing supermassive black hole binary mergers

Monthly notices of the Royal Astronomical Society

Chemical signatures of a warped protoplanetary disc

GW Ori: circumtriple rings and planets

Sustained FU Orionis-type outbursts from colliding discs in stellar flybys

A massive Keplerian protostellar disk with flyby-induced spirals in the Central Molecular Zone

Characteristics of small protoplanetary disc warps in kinematic observations

Formation of polar circumstellar discs in binary star systems


A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python

SSD: Single Shot MultiBox Detector

FaceNet: A Unified Embedding for Face Recognition and Clustering

DeepFace: Closing the Gap to Human-Level Performance in Face Verification

Deep Face Recognition

Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks

Deep Learning Face Representation by Joint Identification-Verification

Deeply learned face representations are sparse, selective, and robust

OpenFace: A general-purpose face recognition library with mobile applications

DeepID3: Face Recognition with Very Deep Neural Networks

RetinaFace: Single-Shot Multi-Level Face Localisation in the Wild


Documentation of Bike Sharing APIs

Data-driven micromobility network planning for demand and safety


TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

Towards Automated Machine Learning: Evaluation and Comparison of AutoML Approaches and Tools

International Conference on Tools with Artificial Intelligence

AutoML to Date and Beyond: Challenges and Opportunities

Whither AutoML? Understanding the Role of Automation in Machine Learning Workflows


Multi-Joint dynamics with Contact. A general purpose physics simulator.

MuJoCo: A physics engine for model-based control

RoCo: Dialectic Multi-Robot Collaboration with Large Language Models

Toward General-Purpose Robots via Foundation Models: A Survey and
  Meta-Analysis

DexDLO: Learning Goal-Conditioned Dexterous Policy for Dynamic
  Manipulation of Deformable Linear Objects


Landlab codebase, wiki, and tests

Creative computing with Landlab: an open-source toolkit for building, coupling, and exploring two-dimensional numerical models of Earth-surface dynamics

The SPACE 1.0 model: a Landlab component for 2-D calculation of sediment transport, bedrock erosion, and landscape evolution

The Landlab v1.0 OverlandFlow component: a Python tool for computing shallow-water flow across watersheds

A hydroclimatological approach to predicting regional landslide probability using Landlab


中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

Analogical Reasoning on Chinese Morphological and Semantic Relations

Learning to Predict Charges for Criminal Cases with Legal Basis

Empirical Methods in Natural Language Processing

A Neural Multi-digraph Model for Chinese NER with Gazetteers

Meeting of the Association for Computational Linguistics

Interpretable Charge Predictions for Criminal Cases: Learning to Generate Court Views from Fact Descriptions

Investigating Prior Knowledge for Challenging Chinese Machine Reading Comprehension

Interpretable Rationale Augmented Charge Prediction System

Collecting Indicators of Compromise from Unstructured Text of Cybersecurity Articles using Neural-Based Sequence Labelling

Inter-sentence and Implicit Causality Extraction from Chinese Corpus

Pacific-Asia Conference on Knowledge Discovery and Data Mining

Effective Neural Solution for Multi-Criteria Word Segmentation

Chunk-based Chinese Spelling Check with Global Optimization


A scala implementation of the Lightning Network.

Concurrency and Privacy with Payment-Channel Networks

Topological Analysis of Bitcoin's Lightning Network

A comprehensive survey on smart contract construction and execution: paradigms, tools, and systems

Blockchain-Based Payment Channel Networks: Challenges and Recent Advances

The CLoTH Simulator for HTLC Payment Networks with Introductory Lightning Network Performance Results

Probing Channel Balances in the Lightning Network

Analysis and Probing of Parallel Channels in the Lightning Network

How Lightning's Routing Diminishes its Anonymity

A Centrality Analysis of the Lightning Network

On the Anonymity of Peer-To-Peer Network Anonymity Schemes Used by Cryptocurrencies


Origin is a set of toolkits that together provide a system for issuance and management of Energy Attribute Certificates


A repo for distributed training of language models with Reinforcement Learning via Human Feedback (RLHF)

Fine-Tuning Language Models from Human Preferences

Direct Preference Optimization: Your Language Model is Secretly a Reward
  Model

OpenAssistant Conversations -- Democratizing Large Language Model
  Alignment

RRHF: Rank Responses to Align Language Models with Human Feedback
  without tears

Training Socially Aligned Language Models on Simulated Social
  Interactions

HuatuoGPT, towards Taming Language Model to Be a Doctor

Explore, Establish, Exploit: Red Teaming Language Models from Scratch

Aligning Large Language Models through Synthetic Feedback

The Wisdom of Hindsight Makes Language Models Better Instruction
  Followers

Taken out of context: On measuring situational awareness in LLMs


RStan, the R interface to Stan

brms: An R Package for Bayesian Multilevel Models Using Stan

Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM Package

Bayesian linear mixed models using Stan: A tutorial for psychologists, linguists, and cognitive scientists

Compositional Proteomics: Effects of Spatial Constraints on Protein Quantification Utilizing Isobaric Tags

Real-time estimation of the epidemic reproduction number: Scoping review of the applications and challenges

Bayesian evaluation of behavior change interventions: a brief introduction and a practical example

Health psychology and behavioral medicine

Bayesian Methods for Exoplanet Science

eggCounts: a Bayesian hierarchical toolkit to model faecal egg count reductions

varstan: An R package for Bayesian analysis of structured time series models with Stan

Bayesian hierarchical modelling approaches for combining information
  from multiple data sources to produce annual estimates of national
  immunization coverage


The PyTorch-based audio source separation toolkit for researchers

Conv-TasNet: Surpassing Ideal Time–Frequency Magnitude Masking for Speech Separation

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

Deep clustering: Discriminative embeddings for segmentation and separation

Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation

TasNet: time-domain audio separation network for real-time, single-channel speech separation

Alternative Objective Functions for Deep Clustering

IEEE International Conference on Acoustics, Speech, and Signal Processing

LibriMix: An Open-Source Dataset for Generalizable Speech Separation

Fullsubnet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement

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

TorchAudio: Building Blocks for Audio and Speech Processing

Sudo rm -rf: Efficient Networks for Universal Audio Source Separation

PROCEEDINGS OF THE 2020 IEEE 30TH INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP)


Fast Go Application Scanner

LZR: Identifying Unexpected Internet Services

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

Predicting IPv4 services across all ports

SIGCOMM '22: PROCEEDINGS OF THE 2022 ACM SIGCOMM 2022 CONFERENCE

Classifying Network Vendors at Internet Scale

Network Scanning and Mapping for IIoT Edge Node Device Security

International Conference on Applied Electronics

Deep dive into the IoT backend ecosystem

Proceedings of the 22nd ACM Internet Measurement Conference

A Time-efficient Multi-Protocol Probe Scheme for Fine-grain IoT Device Identification

The Closed Resolver Project: Measuring the Deployment of Inbound Source Address Validation

Stratosphere: Finding Vulnerable Cloud Storage Buckets

Revista Metropolitana de Sustentabilidade (ISSN 2318-3233)

Characterizing the VPN Ecosystem in the Wild


Next generation FEniCS problem solving environment

Basix: a runtime finite element basis evaluation library

preCICE v2: A sustainable and user-friendly coupling library

Automating the formulation and resolution of convex variational
  problems: applications from image processing to computational mechanics

MetaFEM: A generic FEM solver by meta-expressions

Design and analysis of an exactly divergence-free hybridised discontinuous Galerkin method for incompressible flows on meshes with quadrilateral cells

Preconditioning for a Phase-Field Model with Application to Morphology Evolution in Organic Semiconductors


Anything can happen in the next half hour (including spectral timing made easy)!

The corona contracts in a black-hole transient

PINT: A Modern Software Package for Pulsar Timing

Hack weeks as a model for data science education and collaboration

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

All at Once: Transient Pulsations, Spin-down, and a Glitch from the Pulsating Ultraluminous X-Ray Source M82 X-2

The Evolution of the Broadband Temporal Features Observed in the Black-hole Transient MAXI J1820+070 with Insight-HXMT

Optical, X-ray, and γ-ray observations of the candidate transitional millisecond pulsar 4FGL J0427.8-6704

The evolution of rapid optical/X-ray timing correlations in the initial hard state of MAXI J1820+070

On the Statistical Properties of Cospectra

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

UV and X-ray pulse amplitude variability in the transitional millisecond pulsar PSR J1023+0038

A rapid optical and X-ray timing study of the neutron star X-ray binary
  Swift J1858.6-0814


InSAR Scientific Computing Environment version 2

Rapid flood and damage mapping using synthetic aperture radar in response to Typhoon Hagibis, Japan

Urban Flood Detection with Sentinel-1 Multi-Temporal Synthetic Aperture Radar (SAR) Observations in a Bayesian Framework: A Case Study for Hurricane Matthew

Autonomous Repeat Image Feature Tracking (autoRIFT) and Its Application for Tracking Ice Displacement

Offline-Online Change Detection for Sentinel-1 InSAR Time Series

Processing methodology for the ITS_LIVE Sentinel-1 ice velocity product

Nearby fault interaction within the double-vergence suture in eastern Taiwan during the 2022 Chihshang earthquake sequence

Extensional Earthquakes in the Absence of Magma in Northern Afar: Insights From InSAR

Modelling rock glacier velocity and ice content, Khumbu and Lhotse Valleys, Nepal

Estimating Forest Stand Height in Savannakhet, Lao PDR Using InSAR and Backscatter Methods with L-Band SAR Data

The seismic hazard from the Lembang Fault, Indonesia, derived from InSAR and GNSS data

Natural hazards and earth system sciences


HTTP load testing tool and library. It's over 9000!

Sizeless: Predicting the optimal size of serverless functions.

Open-source RANs in Practice: an Over-The-Air Deployment for 5G MEC

European Conference on Networks and Communications

Data Fusion of Observability Signals for Assisting Orchestration of Distributed Applications

Intrusion Survivability for Commodity Operating Systems

LinGBM: A Performance Benchmark for Approaches to Build GraphQL Servers


Mesh TensorFlow: Model Parallelism Made Easier

Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Mesh-TensorFlow: Deep Learning for Supercomputers

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

ExT5: Towards Extreme Multi-Task Scaling for Transfer Learning

ST-MoE: Designing Stable and Transferable Sparse Expert Models

Charformer: Fast Character Transformers via Gradient-based Subword Tokenization

Scale Efficiently: Insights from Pre-training and Fine-tuning Transformers

A New Generation of Perspective API: Efficient Multilingual Character-level Transformers

HyperPrompt: Prompt-based Task-Conditioning of Transformers

Are Pre-trained Convolutions Better than Pre-trained Transformers?


ilastik-shell, applets, and workflows to string them together.

ilastik: interactive machine learning for (bio)image analysis

Automated Detection and Segmentation of Synaptic Contacts in Nearly Isotropic Serial Electron Microscopy Images

Deep Learning in Single-Cell Analysis

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


RetDec is a retargetable machine-code decompiler based on LLVM.

Code Translation with Compiler Representations

Decoding the Secrets of Machine Learning in Malware Classification: A
  Deep Dive into Datasets, Feature Extraction, and Model Performance

Improving type information inferred by decompilers with supervised
  machine learning

Deep-Learning-based Vulnerability Detection in Binary Executables

GraphBinMatch: Graph-based Similarity Learning for Cross-Language Binary
  and Source Code Matching

Large Language Models for Code Analysis: Do LLMs Really Do Their Job?


Highly granular modeling of residential building stocks at national, regional, and local scales using OpenStudio/EnergyPlus.

Decarbonization pathways for the residential sector in the United States

CityLearn: Standardizing Research in Multi-Agent Reinforcement Learning
  for Demand Response and Urban Energy Management


:robot: :speech_balloon: Deep learning for Text to Speech  (Discussion forum: https://discourse.mozilla.org/c/tts)

Tacotron: Towards End-to-End Speech Synthesis

A Survey on Neural Speech Synthesis

End-to-end ASR: from Supervised to Semi-Supervised Learning with Modern Architectures

Espnet-TTS: Unified, Reproducible, and Integratable Open Source End-to-End Text-to-Speech Toolkit

"Hello, It's Me": Deep Learning-based Speech Synthesis Attacks in the Real World

Conference on Computer and Communications Security

TTS-Portuguese Corpus: a corpus for speech synthesis in Brazilian Portuguese

MTL-SLT: Multi-Task Learning for Spoken Language Tasks

Proceedings of the 4th Workshop on NLP for Conversational AI

A Multimodal Human-Computer Interaction System and Its Application in Smart Learning Environments

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

Muskits: an End-to-End Music Processing Toolkit for Singing Voice
  Synthesis


Apache Commons Collections

Darwinian Data Structure Selection

A comprehensive study of pseudo-tested methods

Sentinel: A Hyper-Heuristic for the Generation of Mutant Reduction Strategies

IEEE transactions on software engineering

Predicting Crash Fault Residence via Simplified Deep Forest Based on A Reduced Feature Set

DJXPerf: Identifying Memory Inefficiencies via Object-Centric Profiling for Java

Design, implementation, and application of GPU-based Java bytecode interpreters

Proceedings of the ACM on programming languages

The Impact of Systematic Edits in History Slicing


A Software Framework for Neuromorphic Computing

The Intel neuromorphic DNS challenge

NeuroBench: Advancing Neuromorphic Computing through Collaborative, Fair
  and Representative Benchmarking

Efficient Video and Audio processing with Loihi 2


fast, simple packet creation / parsing, with definitions for the basic TCP/IP protocols

Tracing Your Smart-Home Devices Conversations: A Real World IoT Traffic Data-Set

Extensible Machine Learning for Encrypted Network Traffic Application Labeling via Uncertainty Quantification

Representation Learning for Content-Sensitive Anomaly Detection in
  Industrial Networks

Hidden in Plain Sight: Exploring Encrypted Channels in Android apps


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


Robust Speech Recognition via Large-Scale Weak Supervision

Gemini: A Family of Highly Capable Multimodal Models

WhisperX: Time-Accurate Speech Transcription of Long-Form Audio

SeamlessM4T: Massively Multilingual & Multimodal Machine Translation

Transformers in Speech Processing: A Survey

The Singing Voice Conversion Challenge 2023

CodePlan: Repository-level Coding using LLMs and Planning

Seamless: Multilingual Expressive and Streaming Speech Translation

HyPoradise: An Open Baseline for Generative Speech Recognition with
  Large Language Models

Adapting Large Language Model with Speech for Fully Formatted End-to-End
  Speech Recognition


A library for mechanistic interpretability of GPT-style language models

Eliciting Latent Predictions from Transformers with the Tuned Lens

Towards Automated Circuit Discovery for Mechanistic Interpretability

Copy Suppression: Comprehensively Understanding an Attention Head

Transformer Mechanisms Mimic Frontostriatal Gating Operations When
  Trained on Human Working Memory Tasks


ncnn is a high-performance neural network inference framework optimized for the mobile platform

Deep Learning in Mobile and Wireless Networking: A Survey

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

IEEE Communications surveys and tutorials/IEEE communications surveys and tutorials

Stacked Dense U-Nets with Dual Transformers for Robust Face Alignment

Pruning and Quantization for Deep Neural Network Acceleration: A Survey

Empowering Things With Intelligence: A Survey of the Progress, Challenges, and Opportunities in Artificial Intelligence of Things

Forward and Backward Information Retention for Accurate Binary Neural Networks

Scalable Deep Learning on Distributed Infrastructures: Challenges, Techniques and Tools

A First Look at Deep Learning Apps on Smartphones

High-Throughput CNN Inference on Embedded ARM Big.LITTLE Multicore Processors

IEEE transactions on computer-aided design of integrated circuits and systems

FD-MobileNet: Improved MobileNet with a Fast Downsampling Strategy


Migrate C code to Rust

Translating C to safer Rust

Code Translation with Compiler Representations

Multilingual Code Co-evolution using Large Language Models

Ownership guided C to Rust translation


:snake: Complete C99 parser in pure Python

Generating Adversarial Examples for Holding Robustness of Source Code Processing Models

THIRTY-FOURTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THE THIRTY-SECOND INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE AND THE TENTH AAAI SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Neural Attribution for Semantic Bug-Localization in Student Programs

Modular Tree Network for Source Code Representation Learning

TreeCaps: Tree-Based Capsule Networks for Source Code Processing

Communication-Closed Asynchronous Protocols

Automatic loop kernel analysis and performance modeling with Kerncraft

International Workshop on Performance Modeling, Benchmarking and Simulation of High Performance Computer Systems

Interpretation-Based Violation Witness Validation for C: NITWIT

Tools and Algorithms for Construction and Analysis of Systems

YSE-PZ: A Transient Survey Management Platform that Empowers the Human-in-the-loop

Automatic Creation of High-bandwidth Memory Architectures from Domain-specific Languages: The Case of Computational Fluid Dynamics

Learning Program Representations with a Tree-Structured Transformer


LevelDB is a fast key-value storage library written at Google that provides an ordered mapping from string keys to string values.

Basic Performance Measurements of the Intel Optane DC Persistent Memory
  Module

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

SplitFS: reducing software overhead in file systems for persistent memory

Symposium on Operating Systems Principles

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

A Survey on Blockchain-Based Self-Sovereign Patient Identity in Healthcare

Dash: Scalable Hashing on Persistent Memory

From WiscKey to Bourbon: A Learned Index for Log-Structured Merge Trees

Why Do My Blockchain Transactions Fail? A Study of Hyperledger Fabric (Extended version).

Information Leakage in Encrypted Deduplication via Frequency Analysis

Broken Metre: Attacking Resource Metering in EVM


igraph R package

Breast tumor microenvironment structures are associated with genomic features and clinical outcome

Single-cell Transcriptome Profiling reveals Dermal and Epithelial cell fate decisions during Embryonic Hair Follicle Development

Research Front Detection and Topic Evolution Based on Topological Structure and the PageRank Algorithm

Identification of putative enhancer-like elements predicts regulatory networks active in planarian adult stem cells

Host-genotype-dependent cecal microbes are linked to breast muscle metabolites in Chinese chickens


A modular embodied agent architecture and platform for building embodied agents

Navigating to Objects in the Real World

CraftAssist: A Framework for Dialogue-enabled Interactive Agents

Structured World Models from Human Videos

NeurIPS 2021 Competition IGLU: Interactive Grounded Language Understanding in a Collaborative Environment

Toward Grounded Commonsense Reasoning

droidlet: modular, heterogenous, multi-modal agents


Creative Commons Attribution Share Alike 4.0 International

A repository of custom scripts to be used with Sentinel Hub

Ulyssys Water Quality Viewer Technical Description Supplementary


Energy Exascale Earth System Model source code.  NOTE:  use "maint" branches for your work.  Head of master is not validated.

Understanding processes that control dust spatial distributions with global climate models and satellite observations

Abrupt emissions reductions during COVID-19 contributed to record summer rainfall in China

A parameterization of sub-grid topographical effects on solar radiation in the E3SM Land Model (version 1.0): implementation and evaluation over the Tibetan Plateau

An Energy Consistent Discretization of the Nonhydrostatic Equations in Primitive Variables

Journal of advances in modeling earth systems

Separating Physics and Dynamics Grids for Improved Computational Efficiency in Spectral Element Earth System Models

Intensified modulation of winter aerosol pollution in China by El Niño with short duration

Quantifying CanESM5 and EAMv1 sensitivities to Mt. Pinatubo volcanic forcing for the CMIP6 historical experiment

Increased extreme rains intensify erosional nitrogen and phosphorus fluxes to the northern Gulf of Mexico in recent decades

A new large-scale suspended sediment model and its application over the United States

Effective radiative forcing of anthropogenic aerosols in E3SMv1: historical changes, causality, decomposition, and parameterization sensitivities


PyMuPDF is a high performance Python library for data extraction, analysis, conversion & manipulation of PDF (and other) documents.

COVID-CT-Dataset: A CT Scan Dataset about COVID-19

Qwen-VL: A Versatile Vision-Language Model for Understanding,
  Localization, Text Reading, and Beyond

LayoutXLM: Multimodal Pre-training for Multilingual Visually-rich Document Understanding

XFUND: A Benchmark Dataset for Multilingual Visually Rich Form Understanding

Findings of the Association for Computational Linguistics: ACL 2022

UX Research on Conversational Human-AI Interaction: A Literature Review of the ACM Digital Library

PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22)

Kosmos-2.5: A Multimodal Literate Model

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

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

GeoGalactica: A Scientific Large Language Model in Geoscience

VT-SSum: A Benchmark Dataset for Video Transcript Segmentation and Summarization.


Ongoing research training transformer language models at scale, including: BERT & GPT-2

ZeroQuant: Efficient and Affordable Post-Training Quantization for
  Large-Scale Transformers

SE-MoE: A Scalable and Efficient Mixture-of-Experts Distributed Training
  and Inference System

Random-LTD: Random and Layerwise Token Dropping Brings Efficient
  Training for Large-scale Transformers

Extending the Pre-Training of BLOOM for Improved Support of Traditional
  Chinese: Models, Methods and Results

Applications of Large Scale Foundation Models for Autonomous Driving

CASSINI: Network-Aware Job Scheduling in Machine Learning Clusters

ChemDFM: Dialogue Foundation Model for Chemistry

Optimizing Distributed Training on Frontier for Large Language Models


OpenMMLab YOLO series toolbox and benchmark. Implemented RTMDet, RTMDet-Rotated,YOLOv5, YOLOv6, YOLOv7, YOLOv8,YOLOX, PPYOLOE, etc.

YOLOv7: Trainable Bag-of-Freebies Sets New State-of-the-Art for Real-Time Object Detectors

YOLOv6: A Single-Stage Object Detection Framework for Industrial
  Applications

PP-YOLOE: An evolved version of YOLO

A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS

RTMDet: An Empirical Study of Designing Real-Time Object Detectors

Explicit Attention-Enhanced Fusion for RGB-Thermal Perception Tasks

Enhancing Multi-Camera People Tracking with Anchor-Guided Clustering and Spatio-Temporal Consistency ID Re-Assignment

Reviving Static Charts into Live Charts

HA-ViD: A Human Assembly Video Dataset for Comprehensive Assembly
  Knowledge Understanding


A procedural Blender pipeline for photorealistic training image generation

BOP Challenge 2020 on 6D Object Localization

BlenderProc

BOP Challenge 2022 on Detection, Segmentation and Pose Estimation of Specific Rigid Objects

A Scaling Law for Syn2real Transfer: How Much Is Your Pre-training Effective?

A Multi-body Tracking Framework - From Rigid Objects to Kinematic
  Structures

BerfScene: Bev-conditioned Equivariant Radiance Fields for Infinite 3D
  Scene Generation

BOP Challenge 2023 on Detection, Segmentation and Pose Estimation of Seen and Unseen Rigid Objects


Graph-structured Indices for Scalable, Fast, Fresh and Filtered Approximate Nearest Neighbor Search

Results of the NeurIPS'21 Challenge on Billion-Scale Approximate Nearest
  Neighbor Search

FreshDiskANN: A Fast and Accurate Graph-Based ANN Index for Streaming Similarity Search.

Worst-case Performance of Popular Approximate Nearest Neighbor Search
  Implementations: Guarantees and Limitations

DiskANN++: Efficient Page-based Search over Isomorphic Mapped Graph
  Index using Query-sensitivity Entry Vertex

AdANNS: A Framework for Adaptive Semantic Search

LeanVec: Search your vectors faster by making them fit


A collaborative review of the emerging COVID-19 literature. Join the chat here:

Dietary Supplements and Nutraceuticals under Investigation for COVID-19 Prevention and Treatment

Pathogenesis, Symptomatology, and Transmission of SARS-CoV-2 through Analysis of Viral Genomics and Structure

Identification and Development of Therapeutics for COVID-19

The Coming of Age of Nucleic Acid Vaccines during COVID-19

An Open-Publishing Response to the COVID-19 Infodemic


Verified Software Toolchain

VST-Floyd: A Separation Logic Tool to Verify Correctness of C Programs

Verified Correctness and Security of mbedTLS HMAC-DRBG

Proof Pearl: Magic Wand as Frame

Bringing Iris into the Verified Software Toolchain

Compositional Pre-processing for Automated Reasoning in Dependent Type Theory

Efficient Extensional Binary Tries

VST-Flow: Fine-grained low-level reasoning about real-world C code

Verifying Programs with Logic and Extended Proof Rules: Deep Embedding
  v.s. Shallow Embedding


Floodlight SDN OpenFlow Controller

Hybrid SDN evolution: A comprehensive survey of the state-of-the-art

QoS improvement with an optimum controller selection for software-defined networks

Controller selection in software defined networks using best-worst multi-criteria decision-making

Bulletin of Electrical Engineering and Informatics

Implementation Aspects of Smart Grids Cyber-Security Cross-Layered Framework for Critical Infrastructure Operation

MonLink: Piggyback Status Monitoring over LLDP in Software-Defined Energy Internet

NetRep: Automatic Repair for Network Programs


Lightweight library to build and train neural networks in Theano

A survey on deep learning in medical image analysis

Distillation as a Defense to Adversarial Perturbations against Deep Neural Networks

Deep Convolutional Neural Networks and Data Augmentation for Environmental Sound Classification

Deep learning for computational biology

DeepSurv: personalized treatment recommender system using a Cox proportional hazards deep neural network

Neural NILM: Deep Neural Networks Applied to Energy Disaggregation

BUILDSYS'15 PROCEEDINGS OF THE 2ND ACM INTERNATIONAL CONFERENCE ON EMBEDDED SYSTEMS FOR ENERGY-EFFICIENT BUILT

ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks

Generative and Discriminative Voxel Modeling with Convolutional Neural Networks

Modeling Temporal Dynamics and Spatial Configurations of Actions Using Two-Stream Recurrent Neural Networks


An automated insulin delivery app for iOS, built on LoopKit

Full closed loop open‐source algorithm performance comparison in pigs with diabetes

In-Silico Evaluation of Glucose Regulation Using Policy Gradient Reinforcement Learning for Patients with Type 1 Diabetes Mellitus

Survey about do-it-yourself closed loop systems in the treatment of diabetes in Germany

A Wearable Closed-Loop Insulin Delivery System Based on Low-Power SoCs


ZMap is a fast single packet network scanner designed for Internet-wide network surveys.

One to Rule them All? A First Look at DNS over QUIC

Zeroing in on Port 0 Traffic in the Wild

Passive and Active Network Measurement Conference

Characterizing the VPN Ecosystem in the Wild


Six Degrees of Domain Admin

Practical Fixed-Parameter Algorithms for Defending Active Directory Style Attack Graphs

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

The epidemiology of lateral movement: exposures and countermeasures with network contagion models

Automated Cyber Defence: A Review

Investigating the Ecosystem of Offensive Information Security Tools

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

Increasing Windows security by hardening PC configurations


Package to call Python functions from the Julia language

Reachability of Black-Box Nonlinear Systems after Koopman Operator Linearization

Bridging HPC Communities through the Julia Programming Language

Parametric and Non-parametric Gradient Matching for Network Inference

A unified analysis of convex and non-convex lp-ball projection problems


TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data

TorchGeo: Deep Learning With Geospatial Data

Supervising Remote Sensing Change Detection Models With 3d Surface Semantics

There Are No Data Like More Data: Datasets for deep learning in Earth observation

IEEE geoscience and remote sensing magazine

SSL4EO-L: Datasets and Foundation Models for Landsat Imagery

Revisiting pre-trained remote sensing model benchmarks: resizing and
  normalization matters


TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

On Breast Cancer Detection: An Application of Machine Learning Algorithms on the Wisconsin Diagnostic Dataset

The tensorflow partitioning and scheduling problem: it's the critical path!

Ariadne: Analysis for Machine Learning Program

Proceedings of the 2nd ACM SIGPLAN International Workshop on Machine Learning and Programming Languages

Auptimizer - an Extensible, Open-Source Framework for Hyperparameter Tuning

FusionStitching: Boosting Execution Efficiency of Memory Intensive Computations for DL Workloads


The pytest framework makes it easy to write small tests, yet scales to support complex functional testing

Causal Discovery Toolbox: Uncover causal relationships in Python

The Impact of Pathway Database Choice on Statistical Enrichment Analysis and Predictive Modeling

Short communication: Landlab v2.0: A software package for Earth surface dynamics

Deeptime: a Python library for machine learning dynamical models from time series data

LiPyphilic: A Python toolkit for the analysis of lipid membrane simulations

Formalizing Atom-typing and the Dissemination of Force Fields with Foyer

ChemKED: A Human‐ and Machine‐Readable Data Standard for Chemical Kinetics Experiments

Reciprocalspaceship: A Python Library for Crystallographic Data Analysis

Identifying Planetary Transit Candidates in TESS Full-frame Image Light Curves via Convolutional Neural Networks

Integration of Structured Biological Data Sources using Biological Expression Language


FuzzBench - Fuzzer benchmarking as a service.

Effective Seed Scheduling for Fuzzing with Graph Centrality Analysis

Fuzzing Symbolic Expressions

International Conference on Software Engineering

Taxonomy of Security Weaknesses in Java and Kotlin Android Apps

Efficient Greybox Fuzzing to Detect Memory Errors

Proceedings of the 37th IEEE/ACM International Conference on Automated Software Engineering

SBFT Tool Competition 2023 - Fuzzing Track

Explainable Fuzzer Evaluation

Systematic Assessment of Fuzzers using Mutation Analysis


A powerful  Android chart view / graph view library, supporting line- bar- pie- radar- bubble- and candlestick charts as well as scaling, panning and animations.

Empowering Children with ASD and Their Parents: Design of a Serious Game for Anxiety and Stress Reduction

Verified three-way program merge

Proceedings of the ACM on programming languages

Haystack: A Multi-Purpose Mobile Vantage Point in User Space

Refactoring Graphs: Assessing Refactoring over Time

A Smartphone-Based System for Automated Bedside Detection of Crackle Sounds in Diffuse Interstitial Pneumonia Patients

Context Mining of Sedentary Behaviour for Promoting Self-Awareness Using a Smartphone

m-SFT: A Novel Mobile Health System to Assess the Elderly Physical Condition

Towards Context-Aware Smart Healthcare Platform

International journal of electrical engineering and computing

Medical Assistant Mobile Application for Diabetes Control by Simulating a Compartmental Model

Verifying Semantic Conflict-Freedom in Three-Way Program Merges.


LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

RoBERTa: A Robustly Optimized BERT Pretraining Approach

Masked Autoencoders Are Scalable Vision Learners

SimCSE: Simple Contrastive Learning of Sentence Embeddings

An Empirical Study of Training Self-Supervised Vision Transformers

On Efficient Training of Large-Scale Deep Learning Models: A Literature
  Review


:twisted_rightwards_arrows: Neural Network (NN) Streamer, Stream Processing Paradigm for Neural Network Apps/Devices.

NNStreamer: Efficient and Agile Development of On-Device AI Systems

NNStreamer: Stream Processing Paradigm for Neural Networks, Toward Efficient Development and Execution of On-Device AI Applications


Hexagonal hierarchical geospatial indexing system

EASE-DGGS: a hybrid discrete global grid system for Earth sciences

Efficient cell navigation methods and applications of an aperture 4 hexagonal discrete global grid system

International journal of geographical information science

The Contact and Mobility Networks of Mexico City

BEAM: The Modeling Framework for Behavior, Energy, Autonomy & Mobility

Will there be a construction?

Proceedings of the 30th International Conference on Advances in Geographic Information Systems

CrashFormer: A Multimodal Architecture to Predict the Risk of Crash

Proceedings of the 1st ACM SIGSPATIAL International Workshop on Advances in Urban-AI


Python Productivity for ZYNQ

The implementation of a Deep Recurrent Neural Network Language Model on a Xilinx FPGA

Efficient Edge-AI Application Deployment for FPGAs

Artificial Intelligence in Electric Machine Drives: Advances and Trends

LPYOLO: Low Precision YOLO for Face Detection on FPGA

World Congress on Electrical Engineering and Computer Systems and Science


Bitcoin CoinJoin implementation with incentive structure to convince people to take part

Adoption and Actual Privacy of Decentralized CoinJoin Implementations in Bitcoin

Heuristics for Detecting CoinJoin Transactions on the Bitcoin Blockchain

Context matters: Methods for Bitcoin tracking

Forensic science international. Digital investigation


sources for the Singular computer algebra system

A survey on signature-based Gröbner basis computations

IBP reduction coefficients made simple

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

Computing GIT-fans with symmetry and the Mori chamber decomposition of M̅_0,6

Constructive General Neron Desingularization for one dimensional local rings

A Classification Algorithm for Complex Singularities of Corank and Modality up to Two


ATLAS is an open source software tool for researchers to conduct scientific analyses on standardized observational data

Risk of hydroxychloroquine alone and in combination with azithromycin in the treatment of rheumatoid arthritis: a multinational, retrospective study

Comparison of Cardiovascular and Safety Outcomes of Chlorthalidone vs Hydrochlorothiazide to Treat Hypertension

Correction: KETOS: Clinical decision support and machine learning as a service – A training and deployment platform based on Docker, OMOP-CDM, and FHIR Web Services

Large-scale adverse effects related to treatment evidence standardization (LAERTES): an open scalable system for linking pharmacovigilance evidence sources with clinical data

DeepEnroll: Patient-Trial Matching with Deep Embedding and Entailment Prediction

Fully connecting the Observational Health Data Science and Informatics (OHDSI) initiative with the world of linked open data

Genomics & informatics/Genomics & Informatics

Pharmacovigilance and Clinical Environment: Utilizing OMOP-CDM and OHDSI Software Stack to Integrate EHR Data

Studies in health technology and informatics

Common Data Model-based Analysis of Selective Leukoreduction Protocol Compliance at Three Hospitals

Phenotype Algorithms to Identify Hidradenitis Suppurativa Using Real-World Data: Development and Validation Study

An Extract-Transform-Load Process Design for the Incremental Loading of German Real-World Data Based on FHIR and OMOP CDM: Algorithm Development and Validation


OpenDILab Decision AI Engine

Deep Reinforcement Learning with Double Q-learning

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

Addressing Function Approximation Error in Actor-Critic Methods

Dueling Network Architectures for Deep Reinforcement Learning

Transformer-XL: Attentive Language Models Beyond a Fixed-Length Context

Generative Adversarial Imitation Learning

Curiosity-driven Exploration by Self-supervised Prediction

Hindsight Experience Replay

Rainbow: Combining Improvements in Deep Reinforcement Learning

Counterfactual Multi-Agent Policy Gradients


Espressif IoT Development Framework. Official development framework for Espressif SoCs.

A Practical Evaluation on RSA and ECC-Based Cipher Suites for IoT High-Security Energy-Efficient Fog and Mist Computing Devices

Leaky Noise: New Side-Channel Attack Vectors in Mixed-Signal IoT Devices

IACR transactions on cryptographic hardware and embedded systems

Clock Frequency Impact on the Performance of High-Security Cryptographic Cipher Suites for Energy-Efficient Resource-Constrained IoT Devices

Fine Time Measurement for the Internet of Things: A Practical Approach Using ESP32

The International Conference on scientific innovations in Science, Technology, and Management

Adaptive antenna system by ESP32-PICO-D4 and its application to web radio system

Fast Deployment of a UWB-Based IPS for Emergency Response Operations

Design and implementation of intelligent packet filtering in IoT
  microcontroller-based devices


Track emissions from Compute and recommend ways to reduce their impact on the environment.

On the Opportunities and Risks of Foundation Models

eco2AI: Carbon Emissions Tracking of Machine Learning Models as the First Step Towards Sustainable AI

Shrinking Bigfoot: Reducing wav2vec 2.0 footprint

Data-Centric Green AI An Exploratory Empirical Study

BioReader: a Retrieval-Enhanced Text-to-Text Transformer for Biomedical Literature

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

Experimental Standards for Deep Learning in Natural Language Processing Research

Energy Efficiency of Training Neural Network Architectures: An Empirical Study

Towards Identifying Alternative-Lexicalization Signals of Discourse Relations

International Conference on Computational Linguistics

Towards Energy-Aware Federated Traffic Prediction for Cellular Networks

EfficientBioAI: Making Bioimaging AI Models Efficient in Energy, Latency
  and Representation


Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving)

DELTA: DEep Learning Transfer using Feature Map with Attention for Convolutional Networks

From distributed machine learning to federated learning: a survey

Emerging trends: A gentle introduction to fine-tuning

Towards Making Deep Transfer Learning Never Hurt

Parameter-Free Style Projection for Arbitrary Style Transfer

Typhoon Risk Perception: A Case Study of Typhoon Lekima in China

International Journal of Disaster Risk Science/International journal of disaster risk science

Constructing Uyghur Name Entity Recognition System using Neural Machine Translation Tag Projection