Low-Cost Open Source Ventilator or PAPR

Leveraging open hardware to alleviate the burden of COVID-19 on global health systems

Pressure Optimized PowEred Respirator (PROPER): A miniaturized wearable cleanroom and biosafety system for aerially transmitted viral infections such as COVID-19

Overcoming supply disruptions during pandemics by utilizing found hardware for open source gentle ventilation


Efficient, reusable RNNs and LSTMs for torch

The Marginal Value of Adaptive Gradient Methods in Machine Learning

Optimizing Performance of Recurrent Neural Networks on GPUs

Natural Language Statistical Features of LSTM-Generated Texts

IEEE transactions on neural networks and learning systems

Neural Information Retrieval: A Literature Review

Disentangling Adaptive Gradient Methods from Learning Rates

Deep Learning Relevance: Creating Relevant Information (as Opposed to Retrieving it)


Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

Defeating Opaque Predicates Statically through Machine Learning and Binary Analysis

Fine-Grained Static Detection of Obfuscation Transforms Using Ensemble-Learning and Semantic Reasoning

Pre-training and fine-tuning dataset for transformers consisting of basic blocks and their execution times (average, minimum, and maximum) along with the execution context of these blocks, for various Cortex processors M7, M4, A53, and A72.

Zenodo (CERN European Organization for Nuclear Research)


IA's public Wayback Machine (moved from SourceForge)

Efficient construction of metadata-enhanced web corpora

Meeting of the Association for Computational Linguistics

Difficulties of Timestamping Archived Web Pages

Impact of URI Canonicalization on Memento Count

DaNewsroom: A Large-scale Danish Summarisation Dataset

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

ArchiveWeb: collaboratively extending and exploring web archive collections—How would you like to work with your collections?

International Journal on Digital Libraries

Replaying Archived Twitter: When your bird is broken, will it bring you down?

The Archive Query Log: Mining Millions of Search Result Pages of Hundreds of Search Engines from 25 Years of Web Archives

ArchiveWeb: Collaboratively Extending and Exploring Web Archive Collections

RESEARCH AND ADVANCED TECHNOLOGY FOR DIGITAL LIBRARIES, TPDL 2016

Making Changes in Webpages Discoverable: A Change-Text Search Interface for Web Archives

Discovering the Traces of Disinformation on Instagram in the Internet Archive


Official inference library for Mistral models

LoRA: Low-Rank Adaptation of Large Language Models

Longformer: The Long-Document Transformer

Generating Long Sequences with Sparse Transformers

Mistral 7B

Mixtral of Experts

Large Language Models Can Self-Correct with Key Condition Verification

Beyond Lines and Circles: Unveiling the Geometric Reasoning Gap in Large
  Language Models

Ontology Completion with Natural Language Inference and Concept
  Embeddings: An Analysis


ImageBind One Embedding Space to Bind Them All

ImageBind: One Embedding Space To Bind Them All

Intriguing Equivalence Structures of the Embedding Space of Vision
  Transformers

VidMuse: A Simple Video-to-Music Generation Framework with Long-Short-Term Modeling

Intriguing Differences Between Zero-Shot and Systematic Evaluations of
  Vision-Language Transformer Models

Discriminator-Guided Cooperative Diffusion for Joint Audio and Video
  Generation

Unaligning Everything: Or Aligning Any Text to Any Image in Multimodal
  Models


Tornado cash. Non-custodial private transactions on Ethereum.

SurferMonkey: A Decentralized Anonymous Blockchain Intercommunication System via Zero Knowledge Proofs


gentle forced aligner

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversations

MuST-C: a Multilingual Speech Translation Corpus

North American Chapter of the Association for Computational Linguistics

Augmenting Librispeech with French Translations: A Multimodal Corpus for Direct Speech Translation Evaluation

Multilingual End-to-End Speech Translation

SimulSpeech: End-to-End Simultaneous Speech to Text Translation

Multimodal Emotion Recognition with High-level Speech and Text Features

Encoding of phonology in a recurrent neural model of grounded speech

Conference on Computational Natural Language Learning

Disentangling Syntax and Semantics in the Brain with Deep Networks

Enhancing Transformer for End-to-end Speech-to-Text Translation

MEISD: A Multimodal Multi-Label Emotion, Intensity and Sentiment Dialogue Dataset for Emotion Recognition and Sentiment Analysis in Conversations

International Conference on Computational Linguistics


Blender addons to make the bridge between Blender and geographic data

Open Geospatial Software and Data: A Review of the Current State and A Perspective into the Future

ISPRS International Journal of Geo-Information

Ready Species One: Exploring the Use of Augmented Reality to Enhance Systematic Biology with a Revision of Fijian Strumigenys (Hymenoptera: Formicidae)

Usability of WebXR Visualizations in Urban Planning

TouchTerrain—3D Printable Terrain Models

Multispectral UAV Data and GPR Survey for Archeological Anomaly Detection Supporting 3D Reconstruction

Move The Object or Move The User: The Role of Interaction Techniques on Embodied Learning in VR

BRIDGING THE GAP: AN OPEN-SOURCE GIS+BIM SYSTEM FOR ARCHAEOLOGICAL DATA. THE CASE STUDY OF ALTINUM, ITALY

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

ROOF3D: A REAL AND SYNTHETIC DATA COLLECTION FOR INDIVIDUAL BUILDING ROOF PLANE AND BUILDING SECTIONS DETECTION

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences

Combining multiple shaded reliefs with hypsometric colouring and digital orthophotos using free and open-source software


ISA Extensions for Finite Field Arithmetic

IACR Transactions on Cryptographic Hardware and Embedded Systems

Fault Attacks on CCA-secure Lattice KEMs

Improved Plantard Arithmetic for Lattice-based Cryptography

High-order Table-based Conversion Algorithms and Masking Lattice-based Encryption

Formally verifying Kyber

Revisiting Keccak and Dilithium Implementations on ARMv7-M


Aspect Based Sentiment Analysis, PyTorch Implementations.  基于方面的情感分析，使用PyTorch实现。

Attention-based LSTM for Aspect-level Sentiment Classification

Empirical Methods in Natural Language Processing

Interactive Attention Networks for Aspect-Level Sentiment Classification

Aspect Level Sentiment Classification with Deep Memory Network

Effective LSTMs for Target-Dependent Sentiment Classification

Recurrent Attention Network on Memory for Aspect Sentiment Analysis

Aspect Level Sentiment Classification with Attention-over-Attention Neural Networks

Attentional Encoder Network for Targeted Sentiment Classification

Syntax-Aware Aspect Level Sentiment Classification with Graph Attention Networks

BERT4GCN: Using BERT Intermediate Layers to Augment GCN for Aspect-based Sentiment Classification

Opinion-aware Answer Generation for Review-driven Question Answering in E-Commerce


Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

Vision Transformers for Dense Prediction

ZoeDepth: Zero-shot Transfer by Combining Relative and Metric Depth

Projected GANs Converge Faster

Multi-Task Self-Training for Learning General Representations

Geometry-Free View Synthesis: Transformers and no 3D Priors

Controlling Text-to-Image Diffusion by Orthogonal Finetuning

MiDaS v3.1 -- A Model Zoo for Robust Monocular Relative Depth Estimation

SceneDreamer: Unbounded 3D Scene Generation From 2D Image Collections

Probing the 3D Awareness of Visual Foundation Models


pytorch1.0 updated. Support cpu test and demo. (Use detectron2, it's a masterpiece)

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

Feature Pyramid Networks for Object Detection

NWPU-Crowd: A Large-Scale Benchmark for Crowd Counting and Localization

IEEE transactions on pattern analysis and machine intelligence

An Implementation of Faster RCNN with Study for Region Sampling

CaTDet: Cascaded Tracked Detector for Efficient Object Detection from Video

Weakly-Supervised Visual Instrument-Playing Action Detection in Videos

LDC-Net: A Unified Framework for Localization, Detection and Counting in Dense Crowds


:zap: TensorFlowASR: Almost State-of-the-art Automatic Speech Recognition in Tensorflow 2. Supported languages that can use characters or subwords

Deep Speech 2: End-to-End Speech Recognition in English and Mandarin

Conformer: Convolution-augmented Transformer for Speech Recognition

Sequence Transduction with Recurrent Neural Networks

SEGAN: Speech Enhancement Generative Adversarial Network

Streaming End-to-end Speech Recognition For Mobile Devices

ContextNet: Improving Convolutional Neural Networks for Automatic Speech Recognition with Global Context

Jasper: An End-to-End Convolutional Neural Acoustic Model

TorchAudio: Building Blocks for Audio and Speech Processing


A toolbox for integrated information theory.

Can the macro beat the micro? Integrated information across spatiotemporal scales

PyPhi: A toolbox for integrated information theory

What caused what? A quantitative account of actual causation using dynamical causal networks

Computing Integrated Information (Φ) in Discrete Dynamical Systems with Multi-Valued Elements

Emergence of Integrated Information at Macro Timescales in Real Neural Recordings

Upper bounds for integrated information


:book::books:An introductory tutorial for BioJava

BioJava 5: A community driven open-source bioinformatics library

Principles and characteristics of biological assemblies in experimentally determined protein structures

BioJava-ModFinder: identification of protein modifications in 3D structures from the Protein Data Bank


Brunel Visualization

Data2Vis: Automatic Generation of Data Visualizations Using Sequence-to-Sequence Recurrent Neural Networks

On the State of Computing in Statistics Education: Tools for Learning and for Doing

VegaProf: Profiling Vega Visualizations


[UNMAINTAINED] Automated machine learning for analytics & production

Benchmark and Survey of Automated Machine Learning Frameworks

Survey on Automated Machine Learning.

Benchmarking Automatic Machine Learning Frameworks

AMLB: an AutoML Benchmark

A Novel Prognostic Scoring System of Intrahepatic Cholangiocarcinoma With Machine Learning Basing on Real-World Data

The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry

AutoMLBench: A Comprehensive Experimental Evaluation of Automated Machine Learning Frameworks


Object detection, 3D detection, and pose estimation using center point detection:

Objects as Points

Factors of Influence for Transfer Learning across Diverse Appearance Domains and Task Types

Detecting Objects from Space: An Evaluation of Deep-Learning Modern Approaches

Shift Equivariance in Object Detection

Benchmarking Object Detection Deep Learning Models in Embedded Devices

Lite-FPN for Keypoint-based Monocular 3D Object Detection

Human Pose Estimation in Monocular Omnidirectional Top-View Images

Empirical Upper Bound, Error Diagnosis and Invariance Analysis of Modern Object Detectors


PyTorch original implementation of Cross-lingual Language Model Pretraining.

Unsupervised Cross-lingual Representation Learning at Scale

XNLI: Evaluating Cross-lingual Sentence Representations

MASS: Masked Sequence to Sequence Pre-training for Language Generation

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

Phrase-Based & Neural Unsupervised Machine Translation

Unsupervised Question Decomposition for Question Answering

CoSDA-ML: Multi-Lingual Code-Switching Data Augmentation for Zero-Shot Cross-Lingual NLP

Boosting Neural Machine Translation with Similar Translations

Large Memory Layers with Product Keys


Highly comparative time-series analysis

Forecasting: theory and practice

Highly comparative time-series analysis: the empirical structure of time series and their methods

Automatic time-series phenotyping using massive feature extraction

Feature-based time-series analysis

A cortical surface-based geodesic distance package for Python

FV 12. Non-invasive Suppression of Essential Tremor via Phase-Locked Disruption of its Temporal Coherence

Classifying Kepler light curves for 12 000 A and F stars using supervised feature-based machine learning

Monthly Notices of the Royal Astronomical Society

Discovery of signatures of fatal neonatal illness in vital signs using highly comparative time-series analysis

Computational signatures for post-cardiac arrest trajectory prediction: Importance of early physiological time series


QLoRA: Efficient Finetuning of Quantized LLMs

Learning From Mistakes Makes LLM Better Reasoner

SteerLM: Attribute Conditioned SFT as an (User-Steerable) Alternative to RLHF

An Empirical Study of LLaMA3 Quantization: From LLMs to MLLMs

VB-LoRA: Extreme Parameter Efficient Fine-Tuning with Vector Banks

Qlarify: Bridging Scholarly Abstracts and Papers with Recursively Expandable Summaries

Understanding the Impact of Post-Training Quantization on Large Language Models

LLMs and Finetuning: Benchmarking cross-domain performance for hate speech detection

Can we obtain significant success in RST discourse parsing by using
  Large Language Models?


A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch

Inference Compilation and Universal Probabilistic Programming

Etalumis: Bringing Probabilistic Programming to Scientific Simulators at Scale

PROCEEDINGS OF SC19: THE INTERNATIONAL CONFERENCE FOR HIGH PERFORMANCE COMPUTING, NETWORKING, STORAGE AND ANALYSIS

Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard Model

Planning as Inference in Epidemiological Models

Amortized Rejection Sampling in Universal Probabilistic Programming

Simulation-Based Inference for Global Health Decisions

Spacecraft Collision Risk Assessment with Probabilistic Programming


The fuzzer afl++ is afl with community patches, qemu 5.1 upgrade, collision-free coverage, enhanced laf-intel & redqueen, AFLfast++ power schedules, MOpt mutators, unicorn_mode, and a lot more!

Evaluating Synthetic Bugs

Berserker: ASN.1-based Fuzzing of Radio Resource Control Protocol for 4G and 5G

Casr-Cluster: Crash Clustering for Linux Applications

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

Revisiting Neural Program Smoothing for Fuzzing

Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

BugMiner: Mining the Hard-to-Reach Software Vulnerabilities through the Target-Oriented Hybrid Fuzzer

Toward Unbiased Multiple-Target Fuzzing with Path Diversity


Deep recommender models using PyTorch.

Session-based Recommendations with Recurrent Neural Networks

RecBole: Towards a Unified, Comprehensive and Efficient Framework for Recommendation Algorithms

Surprise: A Python library for recommender systems

Elliot: A Comprehensive and Rigorous Framework for Reproducible Recommender Systems Evaluation

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

Clinical and translational values of spatial transcriptomics

Signal transduction and targeted therapy

Linearly Convergent Frank-Wolfe with Backtracking Line-Search

SSLRec: A Self-Supervised Learning Framework for Recommendation

Sequential Recommendations on GitHub Repository

Reinforced Imitative Graph Learning for Mobile User Profiling

Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams


VideoCrafter2: Overcoming Data Limitations for High-Quality Video Diffusion Models

LoRA: Low-Rank Adaptation of Large Language Models

ModelScope Text-to-Video Technical Report

VideoCrafter1: Open Diffusion Models for High-Quality Video Generation

Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator

Text-Guided Synthesis of Eulerian Cinemagraphs

GAIA: Rethinking Action Quality Assessment for AI-Generated Videos

CoNo: Consistency Noise Injection for Tuning-free Long Video Diffusion

Identifying and Solving Conditional Image Leakage in Image-to-Video
  Diffusion Model


Semantic Parser with Execution

Compositional Semantic Parsing on Semi-Structured Tables

Sequence-based Structured Prediction for Semantic Parsing

Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

ReTraCk: A Flexible and Efficient Framework for Knowledge Base Question Answering

Semantic Parsing with Dual Learning

Improving Semantic Parsing via Answer Type Inference

Inferring Logical Forms From Denotations

Macro Grammars and Holistic Triggering for Efficient Semantic Parsing

Unsupervised Dual Paraphrasing for Two-stage Semantic Parsing

Paraphrase Generation from Latent-Variable PCFGs for Semantic Parsing

GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representation


:earth_americas: Simple and fast watershed delineation in python.

A cross-scale study for compound flooding processes during Hurricane Florence

Natural hazards and earth system sciences

Hydrograph peak-shaving using a graph-theoretic algorithm for placement of hydraulic control structures

Ice volume and basal topography estimation using geostatistical methods and ground-penetrating radar measurements: application to the Tsanfleuron and Scex Rouge glaciers, Swiss Alps

Generating a Terrain-Robustness Benchmark for Legged Locomotion: A Prototype via Terrain Authoring and Active Learning


Kakao Hangul Analyzer III

Captivate! Contextual Language Guidance for Parent–Child Interaction

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

Korean Morphological Analysis with Tied Sequence-to-Sequence Multi-Task Model

A Multi-Class Classification Model for Technology Evaluation

A Computational Approach to Measure Empathy and Theory-of-Mind from Written Texts

OpenKorPOS: Democratizing Korean Tokenization with Voting-Based Open Corpus Annotation

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Guidance to Pre-tokeniztion for SacreBLEU: Meta-Evaluation in Korean

Vacillating Human Correlation of SacreBLEU in Unprotected Languages

Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)

Introducing Patents with Indirect Connection (PIC) for Establishing Patent Strategies


A generic programming header only C++ library for processing polygonal and polyhedral meshes

A Survey of Algorithms for Geodesic Paths and Distances

Hex-Mesh Generation and Processing: A Survey

HexaLab.net: An online viewer for hexahedral meshes

Optimal Dual Schemes for Adaptive Grid Based Hexmeshing

Interactive and Robust Mesh Booleans

Polyhedral Mesh Quality Indicator for the Virtual Element Method

FETI-DP preconditioners for the Virtual Element Method on general 2D meshes

Deterministic Linear Time Constrained Triangulation using Simplified Earcut

ParGeo: A Library for Parallel Computational Geometry

Mapping Surfaces with Earcut


Distributed and decentralized training framework for PyTorch over graph

Exponential Graph is Provably Efficient for Decentralized Deep Training

DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training

Removing Data Heterogeneity Influence Enhances Network Topology Dependence of Decentralized SGD

BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning


A Real-Time Audio Processing Framework in Java

Development of a triple input musical instrument tuner using Yin algorithm

International Journal of Advanced Engineering Research and Science

A new system to detect coronavirus social distance violation

Zenodo (CERN European Organization for Nuclear Research)


A python tool for evaluating the quality of sentence embeddings.

Skip-Thought Vectors

Supervised Learning of Universal Sentence Representations from Natural Language Inference Data

Universal Sentence Encoder

What you can cram into a single vector: Probing sentence embeddings for linguistic properties

SentEval: An Evaluation Toolkit for Universal Sentence Representations

Fine-grained Analysis of Sentence Embeddings Using Auxiliary Prediction Tasks

Learning General Purpose Distributed Sentence Representations via Large Scale Multi-task Learning

StarSpace: Embed All The Things!

DiffCSE: Difference-based Contrastive Learning for Sentence Embeddings

DisSent: Learning Sentence Representations from Explicit Discourse Relations


Sharding manager contract, and related software and tests

Improve Blockchain Performance using Graph Data Structure and Parallel Mining

Secure Trust-Based Delegated Consensus for Blockchain Frameworks Using Deep Reinforcement Learning

A Blockchain-based Iterative Double Auction Protocol Using Multiparty State Channels

Blockchain Storage Load Balancing Among DHT Clustered Nodes


Juman++ (a Morphological Analyzer Toolkit)

Juman++: A Morphological Analysis Toolkit for Scriptio Continua

Naver Labs Europe's Systems for the WMT19 Machine Translation Robustness Task

Dynamically Updating Event Representations for Temporal Relation Classification with Multi-category Learning

Towards a Versatile Medical-Annotation Guideline Feasible Without Heavy Medical Knowledge: Starting From Critical Lung Diseases

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

Design and Structure of The Juman++ Morphological Analyzer Toolkit

JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation

Linguistically Driven Multi-Task Pre-Training for Low-Resource Neural Machine Translation

ACM Transactions on Asian and Low-Resource Language Information Processing

Sentiment Analysis for Emotional Speech Synthesis in a News Dialogue System

International Conference on Computational Linguistics

EMS: Efficient and Effective Massively Multilingual Sentence Embedding Learning

Coursera Corpus Mining and Multistage Fine-Tuning for Improving Lectures Translation


Caffe for Sparse Convolutional Neural Network

Faster CNNs with Direct Sparse Convolutions and Guided Pruning

Enabling Sparse Winograd Convolution by Native Pruning

Escoin: Efficient Sparse Convolutional Neural Network Inference on GPUs

Compression of Deep Convolutional Neural Networks under Joint Sparsity Constraints


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

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

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

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

Adoption and Effects of Software Engineering Best Practices in Machine Learning

Proceedings of the 14th ACM / IEEE International Symposium on Empirical Software Engineering and Measurement (ESEM)

Versioning for End-to-End Machine Learning Pipelines

International Conference on Management of Data

Practices for Engineering Trustworthy Machine Learning Applications

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


A lightweight 3D Morphable Face Model library in modern C++

A Multiresolution 3D Morphable Face Model and Fitting Framework

Real-Time 3D Face Fitting and Texture Fusion on In-the-Wild Videos

A 3D Face Modelling Approach for Pose-Invariant Face Recognition in a Human-Robot Environment


AutoPhrase: Automated Phrase Mining from Massive Text Corpora

Conceptualized Representation Learning for Chinese Biomedical Text Mining

AliCG: Fine-grained and Evolvable Conceptual Graph Construction for Semantic Search at Alibaba

A User-Centered Concept Mining System for Query and Document Understanding at Tencent

Goal-Driven Explainable Clustering via Language Descriptions

GIANT: Scalable Creation of a Web-scale Ontology

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

E-BERT: A Phrase and Product Knowledge Enhanced Language Model for E-commerce

Seed-Guided Topic Discovery with Out-of-Vocabulary Seeds

Domain-oriented Language Modeling with Adaptive Hybrid Masking and Optimal Transport Alignment


Sequence to Sequence Learning with Keras

Neural Machine Translation by Jointly Learning to Align and Translate

Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Sequence to Sequence Learning with Neural Networks

A Neural Conversational Model

Spectral Temporal Graph Neural Network for Multivariate Time-series Forecasting

Seq2Seq Models with Dropout can Learn Generalizable Reduplication

Proceedings of the Fifteenth Workshop on Computational Research in Phonetics, Phonology, and Morphology


IPv6 attack toolkit

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

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

Wireless Communications and Mobile Computing

An SDN-Based Approach to Ward Off LAN Attacks

Journal of Computer Networks and Communications


Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

U-Net: Convolutional Networks for Biomedical Image Segmentation

Pyramid Scene Parsing Network

LinkNet: Exploiting Encoder Representations for Efficient Semantic Segmentation

Visual Communications and Image Processing

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

Multimodal Self-Supervised Learning for Medical Image Analysis

Automated Detection and Classification of Oral Lesions Using Deep Learning to Detect Oral Potentially Malignant Disorders

Continual Adaptation of Visual Representations via Domain Randomization and Meta-learning

The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration

Red-GAN: Attacking class imbalance via conditioned generation. Yet another medical imaging perspective

ExplAIn: Explanatory artificial intelligence for diabetic retinopathy diagnosis


Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

FaceNet: A Unified Embedding for Face Recognition and Clustering

Learning Face Representation from Scratch

Image Generators with Conditionally-Independent Pixel Synthesis

Deepfake Video Detection Using Convolutional Vision Transformer

Improving Transferability of Adversarial Patches on Face Recognition with Generative Models

Adversarial Sticker: A Stealthy Attack Method in the Physical World

Using latent space regression to analyze and leverage compositionality in GANs

Robust Multimodal Emotion Recognition from Conversation with Transformer-Based Crossmodality Fusion

The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress

Practical No-box Adversarial Attacks against DNNs


A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130

ParlAI: A Dialog Research Software Platform

A Roadmap towards Machine Intelligence

CommAI: Evaluating the first steps towards a useful general AI

Combinatory Chemistry: Towards a Simple Model of Emergent Evolution

Class-Agnostic Continual Learning of Alternating Languages and Domains.


[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters

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

LLaMA-Adapter V2: Parameter-Efficient Visual Instruction Model

ImageBind-LLM: Multi-modality Instruction Tuning

Composite Backdoor Attacks Against Large Language Models

Safety of Multimodal Large Language Models on Images and Text


README and scripts for the Cityscapes Dataset

Synscapes: A Photorealistic Synthetic Dataset for Street Scene Parsing

Cityscapes 3D: Dataset and Benchmark for 9 DoF Vehicle Detection

Video Coding for Machines with Feature-Based Rate-Distortion Optimization

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

PatchPerPix for Instance Segmentation

Semi-Supervised Semantic Segmentation via Gentle Teaching Assistant

SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation

On Intra Video Coding And In-Loop Filtering For Neural Object Detection Networks

International Conference on Information Photonics

Boosting Neural Image Compression for Machines Using Latent Space Masking

RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions


Keras implementations of Generative Adversarial Networks.

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

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

Improved Training of Wasserstein GANs

Context Encoders: Feature Learning by Inpainting

On the Effectiveness of Least Squares Generative Adversarial Networks

Wasserstein GAN

InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets

Adversarial Autoencoders


[ECCV2024] Video Foundation Models & Data for Multimodal Understanding

InternVideo: General Video Foundation Models via Generative and Discriminative Learning

InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generation

InternVideo2: Scaling Video Foundation Models for Multimodal Video
  Understanding

Language Reward Modulation for Pretraining Reinforcement Learning

Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment

IEEE transactions on pattern analysis and machine intelligence

Harvest Video Foundation Models via Efficient Post-Pretraining

VideoEval: Comprehensive Benchmark Suite for Low-Cost Evaluation of Video Foundation Model

Event-Content-Oriented Dialogue Generation in Short Video

North American Chapter of the Association for Computational Linguistics


Sequential regulatory activity predictions with deep convolutional neural networks.

Effective gene expression prediction from sequence by integrating long-range interactions

Evaluating the informativeness of deep learning annotations for human complex diseases

Fine-mapping of Parkinson’s disease susceptibility loci identifies putative causal variants

The motif composition of variable number tandem repeats impacts gene expression

ReFeaFi: Genome-wide prediction of regulatory elements driving transcription initiation

Predicting 3D genome folding from DNA sequence

In silico discovery of repetitive elements as key sequence determinants of 3D genome folding

Integrative dissection of gene regulatory elements at base resolution

Identifying complex motifs in massive omics data with a variable-convolutional layer in deep neural network

Machine learning reveals the diversity of human 3D chromatin contact patterns

bioRxiv : the preprint server for biology


Facebook Low Resource (FLoRes) MT Benchmark

Beyond English-Centric Multilingual Machine Translation

The FLORES-101 Evaluation Benchmark for Low-Resource and Multilingual Machine Translation

Is ChatGPT A Good Translator? Yes With GPT-4 As The Engine

The FLoRes Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English

Towards Making the Most of ChatGPT for Machine Translation

Two New Evaluation Datasets for Low-Resource Machine Translation: Nepali-English and Sinhala-English

DeepNet: Scaling Transformers to 1,000 Layers

Survey of Low-Resource Machine Translation

Low-Resource Corpus Filtering using Multilingual Sentence Embeddings

Survey on Publicly Available Sinhala Natural Language Processing Tools and Research


Collection of algorithms for online portfolio selection

CORN: Correlation-driven nonparametric learning approach for portfolio selection

ACM Transactions on Intelligent Systems and Technology

On-Line Portfolio Selection with Moving Average Reversion

Reweighted Price Relative Tracking System for Automatic Portfolio Optimization

IEEE Transactions on Systems, Man, and Cybernetics: Systems

Efficient Weighting Schemes for Auditing Instant-Runoff Voting Elections


Tensorflow Faster RCNN for Object Detection

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

Feature Pyramid Networks for Object Detection

Physical Adversarial Examples for Object Detectors

Spatial Memory for Context Reasoning in Object Detection

Iterative Visual Reasoning Beyond Convolutions

An Implementation of Faster RCNN with Study for Region Sampling

Cross-Domain Car Detection Using Unsupervised Image-to-Image Translation: From Day to Night

International Joint Conference on Neural Network

Removing the Background by Adding the Background: Towards Background Robust Self-supervised Video Representation Learning

Weakly Supervised Object Detection in Artworks

Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation


Core code shared by the initial ResearchKit apps.

The mPower study, Parkinson disease mobile data collected using ResearchKit

The asthma mobile health study, smartphone data collected using ResearchKit

Real-world longitudinal data collected from the SleepHealth mobile app study


Unsupervised Learning for Image Registration

An overview of deep learning in medical imaging focusing on MRI

VoxelMorph: A Learning Framework for Deformable Medical Image Registration

An Unsupervised Learning Model for Deformable Medical Image Registration

Unsupervised Learning for Fast Probabilistic Diffeomorphic Registration

Medical Image Computing and Computer-Assisted Intervention

Unsupervised learning of probabilistic diffeomorphic registration for images and surfaces

Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks

A Survey of Deep Learning for Scientific Discovery

HyperMorph: Amortized Hyperparameter Learning for Image Registration

Learning Conditional Deformable Templates with Convolutional Networks

DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images


Web Access Control (WAC)

A Critique of Immunity Passports and W3C Decentralized Identifiers

An Ecosystem for Personal Knowledge Graphs: A Survey and Research Roadmap

Towards Querying in Decentralized Environments with Privacy-Preserving Aggregation


Documentation on how to access and use the Quick, Draw! Dataset.

Hybrid optical-electronic convolutional neural networks with optimized diffractive optics for image classification

Fairness GAN

Deep Generative Dual Memory Network for Continual Learning

Deep Learning for Free-Hand Sketch: A Survey

Multi-Graph Transformer for Free-Hand Sketch Recognition

Large-scale optimal transport map estimation using projection pursuit

Optimal forgetting: Semantic compression of episodic memories

Ultra-low latency recurrent neural network inference on FPGAs for physics applications with hls4ml

Sequence-to-Sequence Natural Language to Humanoid Robot Sign Language

Counterfactual Explanations for Misclassified Images: How Human and Machine Explanations Differ


Entity Linker solution

Scalable Zero-shot Entity Linking with Dense Entity Retrieval

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

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

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

KILM: Knowledge Injection into Encoder-Decoder Language Models

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

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

TempEL: Linking Dynamically Evolving and Newly Emerging Entities

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

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

Findings of the Association for Computational Linguistics: ACL 2022


Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning models.  Advbox give a command line tool to generate adversarial examples with Zero-Coding.

Towards a Robust Deep Neural Network in Texts: A Survey

Advbox: a toolbox to generate adversarial examples that fool neural networks

TrojanZoo: Towards Unified, Holistic, and Practical Evaluation of Neural Backdoors

TROJANZOO: Everything you ever wanted to know about neural backdoors (but were afraid to ask).

Transferability of Adversarial Examples to Attack Cloud-based Image Classifier Service

Defend Against Adversarial Samples by Using Perceptual Hash

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

A Tour of Convolutional Networks Guided by Linear Interpreters

Attacking and Defending Machine Learning Applications of Public Cloud

Order-preserving Consistency Regularization for Domain Adaptation and Generalization


Keras Temporal Convolutional Network.

An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling

Time Series Change Point Detection with Self-Supervised Contrastive Predictive Coding

Fast and accurate annotation of acoustic signals with deep neural networks

Beyond Correlation: A Path-Invariant Measure for Seismogram Similarity

Nozzle Thermal Estimation for Fused Filament Fabricating 3D Printer Using Temporal Convolutional Neural Networks

Real-time detection of anomalies in large-scale transient surveys

Investigating the Effects of Training Set Synthesis for Audio Segmentation of Radio Broadcast

The LSST-DESC 3x2pt Tomography Optimization Challenge

A Temporal Type-2 Fuzzy System for Time-Dependent Explainable Artificial Intelligence

IEEE Transactions on Artificial Intelligence

El-CID: a filter for gravitational-wave electromagnetic counterpart identification


Modular Deep Reinforcement Learning framework in PyTorch. Companion library of the book "Foundations of Deep Reinforcement Learning".

ConvLab: Multi-Domain End-to-End Dialog System Platform

CORL: Research-oriented Deep Offline Reinforcement Learning Library

Using Data Augmentation Based Reinforcement Learning for Daily Stock Trading

SLM Lab: A Comprehensive Benchmark and Modular Software Framework for Reproducible Deep Reinforcement Learning


Graphical Fragment Assembly (GFA) Format Specification

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

ODGI: understanding pangenome graphs

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

Unbiased pangenome graphs

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

Panache: a web browser-based viewer for linearized pangenomes

Fast sequence to graph alignment using the graph wavefront algorithm

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

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

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


LiME (formerly DMD) is a Loadable Kernel Module (LKM), which allows the acquisition of volatile memory from Linux and Linux-based devices, such as those powered by Android. The tool supports acquiring memory either to the file system of the device or over the network. LiME is unique in that it is the first tool that allows full memory captures from Android devices. It also minimizes its interaction between user and kernel space processes during acquisition, which allows it to produce memory captures that are more forensically sound than those of other tools designed for Linux memory acquisition.

Forensic Analysis of the ChatSecure Instant Messaging Application on Android Smartphones

Digital Investigation. The International Journal of Digital Forensics and Incident Response

Volatile memory forensics for the Robot Operating System

InviSeal: A Stealthy Dynamic Analysis Framework for Android Systems


Firmware for Libre Solar MPPT/PWM charge controllers


The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Segment Anything

A Comprehensive Survey on Pretrained Foundation Models: A History from BERT to ChatGPT

Segment Anything Model for Medical Images?

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Segment Any Anomaly without Training via Hybrid Prompt Regularization

SAM 2: Segment Anything in Images and Videos

CellViT: Vision Transformers for Precise Cell Segmentation and Classification

Probing the 3D Awareness of Visual Foundation Models

Parameter-Efficient Orthogonal Finetuning via Butterfly Factorization

SAM Meets Robotic Surgery: An Empirical Study in Robustness Perspective


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

CogVLM: Visual Expert for Pretrained Language Models

CogAgent: A Visual Language Model for GUI Agents

Safety of Multimodal Large Language Models on Images and Text

HPE-CogVLM: New Head Pose Grounding Task Exploration on Vision Language Model


A PyTorch library and evaluation platform for end-to-end compression research

End-to-end Optimized Image Compression

Variational image compression with a scale hyperprior

Joint Autoregressive and Hierarchical Priors for Learned Image Compression

Deep Contextual Video Compression

CompressAI: a PyTorch library and evaluation platform for end-to-end compression research

ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding

Learned Image Compression with Mixed Transformer-CNN Architectures

Recent Standard Development Activities on Video Coding for Machines

EVC: Towards Real-Time Neural Image Compression with Mask Decay

Lossy Image Compression with Quantized Hierarchical VAEs


YOLO ROS: Real-Time Object Detection for ROS

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

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

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

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

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

Real-Time 3D UAV Pose Estimation by Visualization

Innovation Aviation & Aerospace Industry - International Conference 2020

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

Flexible Gear Assembly with Visual Servoing and Force Feedback

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

The South African Journal of Industrial Engineering

View-Invariant Localization using Semantic Objects in Changing Environments


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

SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

AWQ: Activation-aware Weight Quantization for LLM Compression and Acceleration

Efficient Large Language Models: A Survey

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

OpenMathInstruct-1: A 1.8 Million Math Instruction Tuning Dataset

FlashDecoding++: Faster Large Language Model Inference on GPUs

Understanding LLMs: A Comprehensive Overview from Training to Inference

SGLang: Efficient Execution of Structured Language Model Programs

An LLM Compiler for Parallel Function Calling

OpenVLA: An Open-Source Vision-Language-Action Model


a toolkit for working with Oxford nanopore data

Extensive sequencing of seven human genomes to characterize benchmark reference materials

Poretools: a toolkit for analyzing nanopore sequence data

MinION Analysis and Reference Consortium: Phase 1 data release and analysis

Computational methods for 16S metabarcoding studies using Nanopore sequencing data

Computational and structural biotechnology journal

SquiggleKit: A toolkit for manipulating nanopore signal data

The Dark Matter of Large Cereal Genomes: Long Tandem Repeats

International journal of molecular sciences


Creative Commons Attribution 4.0 International

Digital Twins Definition Language

Digital Twin and Internet of Things—Current Standards Landscape

Towards Integrated Digital Twins for Industrial Products: Case Study on an Overhead Crane

Twinbase: Open-Source Server Software for the Digital Twin Web

An approach for leveraging Digital Twins in agent-based production systems

Enabling Preventive Conservation of Historic Buildings Through Cloud-Based Digital Twins: A Case Study in the City Theatre, Norrköping

Proposal of Mapping Digital Twins Definition Language to Open Platform Communications Unified Architecture


A General NeRF Acceleration Toolbox in PyTorch.

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

NerfAcc: A General NeRF Acceleration Toolbox

OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects


Running large language models on a single GPU for throughput-oriented scenarios.

FlexGen: High-Throughput Generative Inference of Large Language Models with a Single GPU

Can Foundation Models Wrangle Your Data?

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

Understanding LLMs: A Comprehensive Overview from Training to Inference

KV Cache Compression, But What Must We Give in Return? A Comprehensive Benchmark of Long Context Capable Approaches


Convert a VCF into a MAF, where each variant is annotated to only one of all possible gene isoforms

Functional genomic landscape of acute myeloid leukaemia

Genome doubling shapes the evolution and prognosis of advanced cancers

3D clusters of somatic mutations in cancer reveal numerous rare mutations as functional targets

Histone H1 loss drives lymphoma by disrupting 3D chromatin architecture

Uniform genomic data analysis in the NCI Genomic Data Commons

Copy number signature analysis tool and its application in prostate cancer reveals distinct mutational processes and clinical outcomes

Aberrant splicing isoforms detected by full-length transcriptome sequencing as transcripts of potential neoantigens in non-small cell lung cancer

Genomic profile of advanced breast cancer in circulating tumour DNA

The mutational landscape of recurrent versus nonrecurrent human papillomavirus–related oropharyngeal cancer

Population-level distribution and putative immunogenicity of cancer neoepitopes


Directed graph layout for JavaScript

ActiVis: Visual Exploration of Industry-Scale Deep Neural Network Models

SCImago Graphica: a new tool for exploring and visually communicating data

Boba: Authoring and Visualizing Multiverse Analyses

IEEE transactions on visualization and computer graphics

Stress-Plus-X (SPX) Graph Layout

Preserving Command Line Workflow for a Package Management System Using ASCII DAG Visualization

Towards Plug-and-Play Visual Graph Query Interfaces: Data-driven Canned Pattern Selection for Large Networks

Visual Analysis of Multi-outcome Causal Graphs

IEEE Transactions on Visualization and Computer Graphics


SecLists is the security tester's companion. It's a collection of multiple types of lists used during security assessments, collected in one place. List types include usernames, passwords, URLs, sensitive data patterns, fuzzing payloads, web shells, and many more.

ChatGPT for Digital Forensic Investigation: The Good, The Bad, and The Unknown

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

Binary Decision Diagrams with Edge-Specified Reductions

Tools and Algorithms for Construction and Analysis of Systems

GNPassGAN: Improved Generative Adversarial Networks For Trawling Offline Password Guessing

7TH IEEE EUROPEAN SYMPOSIUM ON SECURITY AND PRIVACY WORKSHOPS (EUROS&PW 2022)

In Search of netUnicorn: A Data-Collection Platform to Develop Generalizable ML Models for Network Security Problems

Proceedings of the 2023 ACM SIGSAC Conference on Computer and Communications Security

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

Assessment of Dynamic Open-source Cross-site Scripting Filters for Web Application

Ksii Transactions on Internet and Information Systems

Unintended Memorization and Timing Attacks in Named Entity Recognition Models

My(o) Armband Leaks Passwords

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

How Much Does GenoGuard Really "Guard"? An Empirical Analysis of Long-Term Security for Genomic Data


Scrapy, a fast high-level web crawling & scraping framework for Python.

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)

BugsInPy: a database of existing bugs in Python programs to enable controlled testing and debugging studies

PROCEEDINGS OF THE 28TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '20)

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

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

A Comparative Study of Pretrained Language Models on Thai Social Text Categorization

Creating and Evaluating Resources for Sentiment Analysis in the Low-resource Language: Sindhi

Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis

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

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

Target-based Sentiment Annotation in Chinese Financial News

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

Word Embedding based New Corpus for Low-resourced Language: Sindhi

Tag Your Fish in the Broken Net: A Responsible Web Framework for Protecting Online Privacy and Copyright

Pitfalls and guidelines for using time-based Git data


Examples for coroutines design in Kotlin

Putting in All the Stops: Execution Control for JavaScript

Fast and Scalable Channels in Kotlin Coroutines

CQS: A Formally-Verified Framework for Fair and Abortable Synchronization


Deezer source separation library including pretrained models.

Spleeter: a fast and efficient music source separation tool with pre-trained models

SPLEETER: A FAST AND STATE-OF-THE ART MUSIC SOURCE SEPARATION TOOL WITH PRE-TRAINED MODELS

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

DeepRapper: Neural Rap Generation with Rhyme and Rhythm Modeling

Paralinguistic singing attribute recognition using supervised machine learning for describing the classical tenor solo singing voice in vocal pedagogy

EURASIP journal on audio, speech, and music processing

J-MAC: Japanese multi-speaker audiobook corpus for speech synthesis

Benchmarks and leaderboards for sound demixing tasks

Avoiding an AI-imposed Taylor's Version of all music history

Research on Music Emotional Expression Based on Reinforcement Learning and Multimodal Information

SUN Team's Contribution to ABAW 2024 Competition: Audio-visual
  Valence-Arousal Estimation and Expression Recognition


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

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

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

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

How Far Can You Get By Combining Change Detection Algorithms?

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

Object Detection using Image Processing

Unsupervised Object Learning via Common Fate

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

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

Journal of Marine Science and Engineering

Deep Learning Segmentation in 2D X-ray Images and Non-Rigid Registration in Multi-Modality Images of Coronary Arteries


Code for building ConceptNet from raw data.

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

Augmenting End-to-End Dialog Systems with Commonsense Knowledge

EVALution 1.0: an Evolving Semantic Dataset for Training and Evaluation of Distributional Semantic Models

Proceedings of the 4th Workshop on Linked Data in Linguistics: Resources and Applications

CSKG: The CommonSense Knowledge Graph

Dimensions of Commonsense Knowledge

Assessing Demographic Bias in Named Entity Recognition

Neuro-Symbolic Procedural Planning with Commonsense Prompting

Mutual-Enhanced Incongruity Learning Network for Multi-Modal Sarcasm Detection

Proceedings of the AAAI Conference on Artificial Intelligence

What's Missing: A Knowledge Gap Guided Approach for Multi-hop Question Answering

KACE: Generating Knowledge Aware Contrastive Explanations for Natural Language Inference

Meeting of the Association for Computational Linguistics


An efficient, flexible and full-featured toolkit for fine-tuning LLM (InternLM2, Llama3, Phi3, Qwen, Mistral, ...)

LoRA: Low-Rank Adaptation of Large Language Models

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

QLoRA: Efficient Finetuning of Quantized LLMs

ORPO: Monolithic Preference Optimization without Reference Model

MMT-Bench: A Comprehensive Multimodal Benchmark for Evaluating Large Vision-Language Models Towards Multitask AGI

Automated Evaluation of Large Vision-Language Models on Self-driving
  Corner Cases

SWIFT:A Scalable lightWeight Infrastructure for Fine-Tuning

A Survey on Evaluation of Multimodal Large Language Models


An open source framework for seq2seq models in PyTorch.

Attention Is All You Need

Convolutional Sequence to Sequence Learning

Semantic Robustness of Models of Source Code

Evaluating Mixed-initiative Conversational Search Systems via User Simulation

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

Open Domain Dialogue Generation with Latent Images

Can Language Models Make Fun? A Case Study in Chinese Comical Crosstalk

Unsupervised Bilingual Lexicon Induction Across Writing Systems

Analysing Utterances in LLM-Based User Simulation for Conversational Search

ACM Transactions on Intelligent Systems and Technology


IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures

A Self-Tuning Actor-Critic Algorithm

What Can Learned Intrinsic Rewards Capture?

The Difficulty of Passive Learning in Deep Reinforcement Learning

FedJAX: Federated learning simulation with JAX

Discovering Policies with DOMiNO: Diversity Optimization Maintaining Near Optimality

When should agents explore?

Emphatic Algorithms for Deep Reinforcement Learning

ReLOAD: Reinforcement Learning with Optimistic Ascent-Descent for Last-Iterate Convergence in Constrained MDPs

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


A set of tools written in Perl and C++ for working with VCF files, such as those generated by the 1000 Genomes Project.

A Genome-Wide Association Study of Wheat Spike Related Traits in China

Analysis pipelines for cancer genome sequencing in mice

Semi-coordinated allelic-bursting shape dynamic random monoallelic expression in pre-gastrulation embryos

Noninvasive Prenatal Screening for Cystic Fibrosis Using Circulating Trophoblasts: Detection of the 50 Most Common Disease-Causing Variants

Detection of candidate genes affecting milk production traits in sheep using whole‐genome sequencing analysis

Enabling out-of-clinic human immunity studies via single-cell profiling of capillary blood

Multivariable prognostic model for heart failure in Chinese Han population‐based setting

Genetic diversity and population structure of Epichloë fungal pathogens of plants in natural ecosystems

Dynamic Diversity of NLR Genes in Triticum and Mining of Promising NLR Alleles for Disease Resistance


:mag: AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks

Dense Passage Retrieval for Open-Domain Question Answering

REALM: Retrieval-Augmented Language Model Pre-Training

Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages

GermanQuAD and GermanDPR: Improving Non-English Question Answering and Passage Retrieval

Prompting Frameworks for Large Language Models: A Survey

RadQA: A Question Answering Dataset to Improve Comprehension of Radiology Reports

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

Asking questions on handwritten document collections

International Journal on Document Analysis and Recognition (IJDAR)

Cross-document Event Coreference Search: Task, Dataset and Modeling

Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs


Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks

MinkLoc3D: Point Cloud Based Large-Scale Place Recognition

Generative Sparse Detection Networks for 3D Single-shot Object Detection

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

DPFM: Deep Partial Functional Maps

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

High-dimensional Convolutional Networks for Geometric Pattern Recognition

Sparse Tensor-based Point Cloud Attribute Compression

MarS3D: A Plug-and-Play Motion-Aware Model for Semantic Segmentation on Multi-Scan 3D Point Clouds

Multi-Space Alignments Towards Universal LiDAR Segmentation


A curated list of awesome deep learning applications in the field of computational biology

Dermatologist-level classification of skin cancer with deep neural networks

Predicting the sequence specificities of DNA- and RNA-binding proteins by deep learning

Predicting effects of noncoding variants with deep learning–based sequence model

Deep Learning for Health Informatics

IEEE journal of biomedical and health informatics

Deep Learning in Bioinformatics

Deep learning for computational biology

The human splicing code reveals new insights into the genetic determinants of disease

Reconstructing cell cycle and disease progression using deep learning

A universal SNP and small-indel variant caller using deep neural networks

DeepLoc: prediction of protein subcellular localization using deep learning


Deep neural network library and toolkit to do high performace inference on NVIDIA jetson platforms

A Systematic Assessment of Embedded Neural Networks for Object Detection

IEEE International Conference on Emerging Technologies and Factory Automation

er.autopilot 1.0: The Full Autonomous Stack for Oval Racing at High Speeds

Pesticide-Free Robotic Control of Aphids as Crop Pests

Increasing FPS for single board computers and embedded computers in 2021 (Jetson nano and YOVOv4-tiny). Practice and review


Retro Games in Gym

An Introduction to Deep Reinforcement Learning

Foundations and Trends® in Machine Learning

A Survey of Deep Reinforcement Learning in Video Games

The Faults in Our Pi Stars: Security Issues and Open Challenges in Deep Reinforcement Learning


The open-source tool for creating 3D models

Population Estimation Using a 3D City Model: A Multi-Scale Country-Wide Study in the Netherlands

CityJSON Building Generation from Airborne LiDAR 3D Point Clouds

ISPRS International Journal of Geo-Information

Reference study of IFC software support: The GeoBIM benchmark 2019—Part I

Estimating Building Age with 3D GIS

ISPRS annals of the photogrammetry, remote sensing and spatial information sciences

Harmonising the OGC Standards for the Built Environment: A CityGML Extension for LandInfra

A Cost-Effective Method for Reconstructing City-Building 3D Models from Sparse Lidar Point Clouds

AN IMPROVED LOD FRAMEWORK FOR THE TERRAINS IN 3D CITY MODELS

An Efficient 2.5D Shadow Detection Algorithm for Urban Planning and Design Using a Tensor Based Approach

INTERACTIVE 3D CITY VISUALIZATION FROM STRUCTURE MOTION DATA USING GAME ENGINE

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


This repository contains the source code for the paper First Order Motion Model for Image Animation

Motion Representations for Articulated Animation

Generating Videos with Dynamics-aware Implicit Generative Adversarial Networks

Long Video Generation with Time-Agnostic VQGAN and Time-Sensitive Transformer

StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation

Compressing Video Calls using Synthetic Talking Heads

NARRATE: A Normal Assisted Free-View Portrait Stylizer

DF40: Toward Next-Generation Deepfake Detection

Improved First-Order Motion Model of Image Animation with Enhanced Dense Motion and Repair Ability

PriorityCut: Occlusion-guided Regularization for Warp-based Image Animation


The Numenta Anomaly Benchmark

Unsupervised real-time anomaly detection for streaming data

Evaluating Real-time Anomaly Detection Algorithms - the Numenta Anomaly Benchmark

International Conference on Machine Learning and Applications

TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks

Precision and Recall for Time Series

TAnoGAN: Time Series Anomaly Detection with Generative Adversarial Networks

IEEE Symposium Series on Computational Intelligence

Real-Time Anomaly Detection for Streaming Analytics

Traffic prediction using artificial intelligence: Review of recent advances and emerging opportunities

Transportation Research Part C: Emerging Technologies

Expected similarity estimation for large-scale batch and streaming anomaly detection

Unsupervised Anomaly Detection in Stream Data with Online Evolving Spiking Neural Networks

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

Anomaly Detection in Cloud Components

International Conference on Cloud Computing


MLPerf™  Tiny is an ML benchmark suite for extremely low-power systems such as microcontrollers

Benchmarking TinyML Systems: Challenges and Direction

MLPerf Tiny Benchmark

hls4ml: An Open-Source Codesign Workflow to Empower Scientific Low-Power Machine Learning Devices

Auritus: An Open-Source Optimization Toolkit for Training and Development of Human Movement Models and Filters Using Earables

Proceedings of the ACM on interactive, mobile, wearable and ubiquitous technologies

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

U-TOE: Universal TinyML On-board Evaluation Toolkit for Low-Power IoT

Towards Global Neural Network Abstractions with Locally-Exact Reconstruction


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

Cooperative-Intelligent Transport Systems for Vulnerable Road Users safety

Zenodo (CERN European Organization for Nuclear Research)

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

International Conference on Transparent Optical Networks

Regain Control of Growing Dependencies in OMNeT++ Simulations

VANET Coverage Analysis for GPS Augmentation Data in Rural Area


Hyperparameter Experiments with TensorFlow and Keras

On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice

Performance evaluation of deep neural ensembles toward malaria parasite detection in thin-blood smear images

SDN-Based Architecture for Transport and Application Layer DDoS Attack Detection by Using Machine and Deep Learning

Tensor Programs V: Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer

An all-photonic focal-plane wavefront sensor

A deep learning model to emulate simulations of cosmic reionization

Monthly notices of the Royal Astronomical Society

Resource Usage and Performance Trade-offs for Machine Learning Models in Smart Environments

An explanatory machine learning framework for studying pandemics: The case of COVID-19 emergency department readmissions

Multiobjective optimization of the dynamic aperture using surrogate models based on artificial neural networks

Machine Learning Approach for Prediction of Hematic Parameters in Hemodialysis Patients

IEEE journal of translational engineering in health and medicine


An Analysis Tool for Smart Contracts

ContractFuzzer: Fuzzing Smart Contracts for Vulnerability Detection

PROCEEDINGS OF THE 2018 33RD IEEE/ACM INTERNATIONAL CONFERENCE ON AUTOMTED SOFTWARE ENGINEERING (ASE' 18)

Finding The Greedy, Prodigal, and Suicidal Contracts at Scale

A Semantic Framework for the Security Analysis of Ethereum Smart Contracts

Empirical Review of Automated Analysis Tools on 47,587 Ethereum Smart Contracts

Sereum: Protecting Existing Smart Contracts Against Re-Entrancy Attacks

The Art of The Scam: Demystifying Honeypots in Ethereum Smart Contracts

Security Analysis Methods on Ethereum Smart Contract Vulnerabilities: A Survey

Defining Smart Contract Defects on Ethereum

Scilla: a Smart Contract Intermediate-Level LAnguage

Exploiting The Laws of Order in Smart Contracts


Automatic architecture search and hyperparameter optimization for PyTorch

Auto-PyTorch Tabular: Multi-Fidelity MetaLearning for Efficient and Robust AutoDL

Towards Automatically-Tuned Deep Neural Networks

The Springer series on challenges in machine learning

Efficient Automated Deep Learning for Time Series Forecasting

Evaluating Generic Auto-ML Tools for Computational Pathology

The Technological Emergence of AutoML: A Survey of Performant Software and Applications in the Context of Industry


CodeXGLUE

CodeXGLUE: A Machine Learning Benchmark Dataset for Code Understanding and Generation

No more fine-tuning? an experimental evaluation of prompt tuning in code intelligence

Proceedings of the 30th ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering

ReGVD: Revisiting Graph Neural Networks for Vulnerability Detection

NatGen: Generative pre-training by "Naturalizing" source code

CoSQA: 20,000+ Web Queries for Code Search and Question Answering

Multilingual training for Software Engineering

ReCode: Robustness Evaluation of Code Generation Models

StructCoder: Structure-Aware Transformer for Code Generation

ERNIE-Code: Beyond English-Centric Cross-lingual Pretraining for Programming Languages

CommitBERT: Commit Message Generation Using Pre-Trained Programming Language Model


An open-source implementation of the AlphaGoZero algorithm

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

Accelerating Self-Play Learning in Go

Explain Your Move: Understanding Agent Actions Using Focused Feature Saliency


LAVIS - A One-stop Library for Language-Vision Intelligence

BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

BLIP-2: Bootstrapping Language-Image Pre-training with Frozen Image Encoders and Large Language Models

Align before Fuse: Vision and Language Representation Learning with Momentum Distillation

InstructBLIP: Towards General-purpose Vision-Language Models with Instruction Tuning

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

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

ViperGPT: Visual Inference via Python Execution for Reasoning

Instruction Tuning for Large Language Models: A Survey

BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing

Plug-and-Play VQA: Zero-shot VQA by Conjoining Large Pretrained Models with Zero Training


Some notes on things I find interesting and important.

Membership Inference Attacks against Machine Learning Models

Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning

Renyi Differential Privacy

IEEE Computer Security Foundations Symposium

A Secure Federated Transfer Learning Framework

LOGAN: Membership Inference Attacks Against Generative Models

Evaluating Differentially Private Machine Learning in Practice

Towards the Science of Security and Privacy in Machine Learning

Bolt-on Differential Privacy for Scalable Stochastic Gradient Descent-based Analytics

Differentially Private SQL with Bounded User Contribution

Synthetic Data -- what, why and how?


TextWorld is a sandbox learning environment for the training and evaluation of reinforcement learning (RL) agents on text-based games.

Modeling Worlds in Text

Situated Language Learning via Interactive Narratives

A survey of benchmarking frameworks for reinforcement learning


Internet of Blockchains ⚛

Atomic Crosschain Transactions for Ethereum Private Sidechains

Survey of crosschain communications protocols

General Purpose Atomic Crosschain Transactions

Verifiable Smart Contract Portability

Distributed Ledger Technologies for Network Slicing: A Survey

Verilay: A Verifiable Proof of Stake Chain Relay

TrustCross: Enabling Confidential Interoperability across Blockchains Using Trusted Hardware

Generic Superlight Client for Permissionless Blockchains

Research on Multidomain Authentication of IoT Based on Cross-Chain Technology

SmartSync: Cross-Blockchain Smart Contract Interaction and Synchronization


Algorithms for explaining machine learning models

Questioning the AI: Informing Design Practices for Explainable AI User Experiences

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

Drug discovery with explainable artificial intelligence

Explanations based on the Missing: Towards Contrastive Explanations with Pertinent Negatives

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

Interpretable Counterfactual Explanations Guided by Prototypes

Benchmarking and survey of explanation methods for black box models

Counterfactuals and Causability in Explainable Artificial Intelligence: Theory, Algorithms, and Applications

A comprehensive taxonomy for explainable artificial intelligence: a systematic survey of surveys on methods and concepts

On Generating Plausible Counterfactual and Semi-Factual Explanations for Deep Learning

Towards Unifying Feature Attribution and Counterfactual Explanations: Different Means to the Same End

National Conference on Artificial Intelligence


An Open-Source Framework for Prompt-Learning.

OpenPrompt: An Open-source Framework for Prompt-learning

Prototypical Verbalizer for Prompt-based Few-shot Tuning

FedPrompt: Communication-Efficient and Privacy-Preserving Prompt Tuning in Federated Learning

Scalable Prompt Generation for Semi-supervised Learning with Language Models

Dynamic Prompting: A Unified Framework for Prompt Tuning

A Few-shot Approach to Resume Information Extraction via Prompts

Knowledge-Guided Prompt Learning for Few-Shot Text Classification

Towards Legally Enforceable Hate Speech Detection for Public Forums

Arguments to Key Points Mapping with Prompt-based Learning

Few-Shot Learning for Chronic Disease Management: Leveraging Large Language Models and Multi-Prompt Engineering with Medical Knowledge Injection


Python IRF builder

Reconstruction of stereoscopic CTA events using deep learning with CTLearn

Physics Performance of the Large Size Telescope prototype of the Cherenkov Telescope Array

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

Interpolation of Instrument Response Functions for the Cherenkov Telescope Array in the Context of pyirf

Performance update of an event-type based analysis for the Cherenkov Telescope Array


ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy

Democratising deep learning for microscopy with ZeroCostDL4Mic

Recent advances and applications of deep learning methods in materials science

Opportunities and challenges for deep learning in cell dynamics research

Deep learning – promises for 3D nuclear imaging: a guide for biologists

CartoCell, a high-content pipeline for 3D image analysis, unveils cell morphology patterns in epithelia

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

Optical microscopic imaging, manipulation, and analysis methods for morphogenesis research

ZeroCostDL4Mic - Stardist example training and test dataset

Stardist model and training dataset for automated tracking of MDA-MB-231 and BT20 cells


AgentVerse  is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation

MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework

ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors

Cognitive Architectures for Language Agents

AutoAgents: A Framework for Automatic Agent Generation

LLM As DBA

AI for social science and social science of AI: A Survey

D-Bot: Database Diagnosis System using Large Language Models


A repository of LIVE malwares for your own joy and pleasure. theZoo is a project created to make the possibility of malware analysis open and available to the public.

SAFE: Self-Attentive Function Embeddings for Binary Similarity

A Survey on Ransomware: Evolution, Taxonomy, and Defense Solutions

Ransomware: Recent advances, analysis, challenges and future research directions

Explaining Vulnerabilities of Deep Learning to Adversarial Malware Binaries

Adversarial Attacks against Windows PE Malware Detection: A Survey of the State-of-the-Art

Dynamic Feature Dataset for Ransomware Detection Using Machine Learning Algorithms

EvilModel: Hiding Malware Inside of Neural Network Models

Peeler: Profiling Kernel-Level Events to Detect Ransomware

Ransomware: Analysing the Impact on Windows Active Directory Domain Services

A Comparative Assessment of Obfuscated Ransomware Detection Methods


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

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

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

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

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

Detecting Dementia Through Interactive Computer Avatars

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

IEEE Transactions on Affective Computing

Convolutional Experts Constrained Local Model for Facial Landmark Detection

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

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

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

A Validation of Automatically-Generated Areas-of-Interest in Videos of a Face for Eye-Tracking Research


Google play scraper for Python inspired by <facundoolano/google-play-scraper>

A Study of Gender Discussions in Mobile Apps

Revisiting Android App Categorization

Inclusiveness Matters: A Large-Scale Analysis of User Feedback


Starlink Software Collection

AST: A library for modelling and manipulating coordinate systems

Preservation through modernisation: The software of the H1 experiment at HERA

Phase-resolved spectroscopy of Gaia14aae: line emission from near the white dwarf surface

SDSS J124043.01+671034.68: the partially burned remnant of a low-mass white dwarf that underwent thermonuclear ignition?

The General Single-Dish Data format: A retrospective


MMGeneration is a powerful toolkit for generative models, based on PyTorch and MMCV.

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

Improved Training of Wasserstein GANs

Progressive Growing of GANs for Improved Quality, Stability, and Variation

Analyzing and Improving the Image Quality of StyleGAN

On the Effectiveness of Least Squares Generative Adversarial Networks

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Spectral Normalization for Generative Adversarial Networks

Self-Attention Generative Adversarial Networks


Xv6 for RISC-V

Bento and the Art of Repeated Research


DALL·E Mini - Generate images from a text prompt

Zero-Shot Text-to-Image Generation

Holistic Evaluation of Text-To-Image Models

Unsafe Diffusion: On the Generation of Unsafe Images and Hateful Memes From Text-To-Image Models

Membership Inference Attacks Against Text-to-image Generation Models

Intriguing properties of synthetic images: from generative adversarial networks to diffusion models

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

A Review of Synthetic Image Data and Its Use in Computer Vision

MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation

Evaluating a Synthetic Image Dataset Generated with Stable Diffusion

No "Zero-Shot" Without Exponential Data: Pretraining Concept Frequency
  Determines Multimodal Model Performance


T-Pot - The All In One Multi Honeypot Platform

A Comparative Analysis of Honeypots on Different Cloud Platforms

Honeypot Implementation in a Cloud Environment

An Analysis of Honeypots and their Impact as a Cyber Deception Tactic

LogPrécis: Unleashing Language Models for Automated Shell Log Analysis

AI-Enabled System for Efficient and Effective Cyber Incident Detection
  and Response in Cloud Environments

URSID: Using formalism to Refine attack Scenarios for vulnerable Infrastructure Deployment


RISC-V cryptography extensions standardisation work.

A Lightweight ISA Extension for AES and SM4

On Entropy and Bit Patterns of Ring Oscillator Jitter

Symmetric Cryptography on RISC-V: Performance Evaluation of Standardized Algorithms

A Scalable Formal Verification Methodology for Data-Oblivious Hardware

Constant-Time Wasmtime, for Real This Time: End-to-End Verified Zero-Overhead Constant-Time Programming for the Web and Beyond


Graph-based alignment (Hierarchical Graph FM index)

Whole Genome Sequencing of the Giant Grouper (Epinephelus lanceolatus) and High-Throughput Screening of Putative Antimicrobial Peptide Genes

Vargas: heuristic-free alignment for assessing linear and graph read aligners

The transcriptional reprograming and functional identification of WRKY family members in pepper’s response to Phytophthora capsici infection

In silico tools for accurate HLA and KIR inference from clinical sequencing data empower immunogenetics on individual-patient and population scales

Differences in Leaf Morphology and Related Gene Expression between Diploid and Tetraploid Birch (Betula pendula)

International journal of molecular sciences

Blastospores from Metarhizium anisopliae and Metarhizium rileyi Are Not Always as Virulent as Conidia Are towards Spodoptera frugiperda Caterpillars and Use Different Infection Mechanisms

Whole-Genome Sequence of Entomortierella parvispora E1425, a Mucoromycotan Fungus Associated with Burkholderiaceae-Related Endosymbiotic Bacteria

Subgenome dominance shapes novel gene evolution in the decaploid pitcher plant Nepenthes gracilis

Genome-wide Interrogation of Protein-DNA Interactions in Mammalian Cells Using ChIPmentation

Nanopore Sequencing and Hi-C Based De Novo Assembly of Trachidermus fasciatus Genome


Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python

Machine-learning-based diagnostics of EEG pathology

Geomstats: A Python Package for Riemannian Geometry in Machine Learning

A Plug&Play P300 BCI Using Information Geometry

Tensor-CSPNet: A Novel Geometric Deep Learning Framework for Motor Imagery Classification

IEEE transactions on neural networks and learning systems

Decoding Imagined Speech and Computer Control using Brain Waves

ICLR 2021 Challenge for Computational Geometry & Topology: Design and Results

Introduction to Geometric Learning in Python with Geomstats

Proceedings of the Python in Science Conferences

Towards Fast Single-Trial Online ERP based Brain-Computer Interface using dry EEG electrodes and neural networks: a pilot study

Case-Based and Quantum Classification for ERP-Based Brain–Computer Interfaces


Google Play Downloader via Command line

Third Party Tracking in the Mobile Ecosystem

Are iPhones Really Better for Privacy? Comparative Study of iOS and Android Apps

Before and after GDPR: tracking in mobile apps

A Multi-modal Neural Embeddings Approach for Detecting Mobile Counterfeit Apps: A Case Study on Google Play Store

A Neural Embeddings Approach for Detecting Mobile Counterfeit Apps


Raspberry Pi Based Energy Monitor. Hardware, Firmware & related software for the PI.


Ad block engine used in the Brave browser for ABP filter syntax based lists like EasyList.

Who Filters the Filters: Understanding the Growth, Usefulness and Efficiency of Crowdsourced Ad Blocking

SpeedReader: Reader Mode Made Fast and Private

Security: Doing Whatever is Needed... and Not a Thing More!


H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Benchmark and Survey of Automated Machine Learning Frameworks

Hyperparameter optimization: Foundations, algorithms, best practices, and open challenges

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

International Conference on Tools with Artificial Intelligence

Functional Dissection of the Enhancer Repertoire in Human Embryonic Stem Cells

LncFinder: an integrated platform for long non-coding RNA identification utilizing sequence intrinsic composition, structural information and physicochemical property

Predicting Fine Particulate Matter (PM2.5) in the Greater London Area: An Ensemble Approach using Machine Learning Methods

Systematic allelic analysis defines the interplay of key pathways in X chromosome inactivation

dalex: Responsible Machine Learning with Interactive Explainability and Fairness in Python

Biological Brain Age Prediction Using Cortical Thickness Data: A Large Scale Cohort Study

More than half of data deficient species predicted to be threatened by extinction


A small speech recognizer

Preech: A System for Privacy-Preserving Speech Transcription

Prϵϵch: A System for Privacy-Preserving Speech Transcription

PROCEEDINGS OF THE 29TH USENIX SECURITY SYMPOSIUM

VGPN: Voice-Guided Pointing Robot Navigation for Humans

NUVA: A Naming Utterance Verifier for Aphasia Treatment

Challenges of Artificial Intelligence -- From Machine Learning and Computer Vision to Emotional Intelligence

ASTER: Automatic Speech Recognition System Accessibility Testing for Stutterers


PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).

Proximal Policy Optimization Algorithms

Reward Constrained Policy Optimization

Character Controllers Using Motion VAEs

Embodied Intelligence via Learning and Evolution

Automatic Data Augmentation for Generalization in Deep Reinforcement Learning

Decentralized Structural-RNN for Robot Crowd Navigation with Deep Reinforcement Learning

An Exploration of Embodied Visual Exploration

Why Generalization in RL is Difficult: Epistemic POMDPs and Implicit Partial Observability

Evolving Curricula with Regret-Based Environment Design

Evolution Gym: A Large-Scale Benchmark for Evolving Soft Robots


Real-Time Rendering Framework

Real-time neural radiance caching for path tracing

Dynamic Diffuse Global Illumination Resampling

Real-Time Neural Appearance Models

Decorrelating ReSTIR Samplers via MCMC Mutations

Neural Partitioning Pyramids for Denoising Monte Carlo Renderings

Special Interest Group on Computer Graphics and Interactive Techniques Conference Conference Proceedings

Neural Shadow Mapping

Special Interest Group on Computer Graphics and Interactive Techniques Conference Proceedings

Real-Time Path-Guiding Based on Parametric Mixture Models

Ray-VR: Ray Tracing Virtual Reality in Falcor

Non-homogeneous denoising for virtual reality in real-time path tracing rendering

Proceduray -- A light-weight engine for procedural primitive ray tracing


Flexible I/O Tester

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

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

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

A Survey on Edge Performance Benchmarking

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

Deterministic, Stash-Free Write-Only ORAM

Hydra: Resilient and Highly Available Remote Memory

CFS: A Distributed File System for Large Scale Container Platforms

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

Data Structure Primitives on Persistent Memory: An Evaluation


Public malware techniques used in the wild: Virtual Machine, Emulation, Debuggers, Sandbox detection.

Designing Robust API Monitoring Solutions

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

Evasive Windows Malware: Impact on Antiviruses and Possible Countermeasures

PROCEEDINGS OF THE 17TH INTERNATIONAL JOINT CONFERENCE ON E-BUSINESS AND TELECOMMUNICATIONS (SECRYPT), VOL 1

HyperDbg: Reinventing Hardware-Assisted Debugging (Extended Version)


4 bits quantization of LLaMA using GPTQ

LLaMA: Open and Efficient Foundation Language Models

A Survey of Large Language Models

GPTQ: Accurate Post-Training Quantization for Generative Pre-trained Transformers

The case for 4-bit precision: k-bit Inference Scaling Laws

Do Emergent Abilities Exist in Quantized Large Language Models: An Empirical Study

Compressing LLMs: The Truth is Rarely Pure and Never Simple

EasyQuant: An Efficient Data-free Quantization Algorithm for LLMs


新浪微博爬虫，用python爬取新浪微博数据，并下载微博图片和微博视频

Division of Chinese opinion on Russia-Ukraine War: Analyzing Key Actors’ Strategic Framing on Weibo

European Journal of Law and Political Science

Understanding Patterns of Users Who Repost Censored Posts on Weibo


Noto Emoji fonts

Im2Vec: Synthesizing Vector Graphics without Vector Supervision

ExtrudeNet: Unsupervised Inverse Sketch-and-Extrude for Shape Parsing

Variational Neural Cellular Automata

On the Use of Emojis in Mobile Authentication

Neural Cellular Automata Manifold

StarVector: Generating Scalable Vector Graphics Code from Images

Variationist: Exploring Multifaceted Variation and Bias in Written
  Language Data


QUIC and HTTP/3 implementation in Python

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

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

QUIC on the Highway: Evaluating Performance on High-rate Links

2023 IFIP Networking Conference (IFIP Networking)

QUIC Throughput and Fairness over Dual Connectivity

Evaluating the Benefits: Quantifying the Effects of TCP Options, QUIC, and CDNs on Throughput

Proceedings of the Applied Networking Research Workshop

Tracking the QUIC spin bit on Tofino

Proceedings of the 2021 Workshop on Evolution, Performance and Interoperability of QUIC

Improving Web Content Delivery with HTTP/3 and Non-Incremental EPS

Improving HTTP/3 Quality of Experience with Incremental EPS

Evaluating Transport Protocols on 5G for Mobile Augmented Reality


DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.

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

A universal SNP and small-indel variant caller using deep neural networks

Resistance of SARS-CoV-2 variants to neutralization by monoclonal and serum-derived polyclonal antibodies

A draft human pangenome reference

Advancing Personalized Medicine Through the Application of Whole Exome Sequencing and Big Data Analytics

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

Accurate, scalable cohort variant calls using DeepVariant and GLnexus

Benchmarking challenging small variants with linked and long reads

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

From molecules to genomic variations: Accelerating genome analysis via intelligent algorithms and architectures

Computational and structural biotechnology journal


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

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

Self-Attentive Hawkes Processes

Sparse and low-rank multivariate Hawkes processes

Learning Hawkes Processes from a Handful of Events

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

Exploring Generative Neural Temporal Point Process

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

THAP: A Matlab Toolkit for Learning with Hawkes Processes

Fast Estimation of Causal Interactions using Wold Processes

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

ACM Transactions on Intelligent Systems and Technology


Time Series Benchmark Suite, a tool for comparing and evaluating databases for time series data

TimeCrypt: Encrypted Data Stream Processing at Scale with Cryptographic Access Control

SciTS: A Benchmark for Time-Series Databases in Scientific Experiments and Industrial Internet of Things

Using Microbenchmark Suites to Detect Application Performance Changes

IoTDataBench: Extending TPCx-IoT for Compression and Scalability


A lightweight header-only library for using Keras (TensorFlow) models in C++.

Accelerating Monte Carlo event generation -- rejection sampling using neural network event-weight estimates

Mini Cheetah, the Falling Cat: A Case Study in Machine Learning and Trajectory Optimization for Robot Acrobatics

Deeply learning deep inelastic scattering kinematics

A JIT Compiler for Neural Network Inference

Unweighting multijet event generation using factorisation-aware neural networks

A Framework for Semi-Automatic Precision and Accuracy Analysis for Fast and Rigorous Deep Learning

A general approach for running Python codes in OpenFOAM using an embedded pybind11 Python interpreter

Error-correcting neural networks for semi-Lagrangian advection in the level-set method

Assessment of machine learning methods for state-to-state approaches

Error-Correcting Neural Networks for Two-Dimensional Curvature Computation in the Level-set Method


scrape data from the itunes app store

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

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

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

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

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

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

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

International journal of environmental research and public health


Language Technology Platform

TENER: Adapting Transformer Encoder for Named Entity Recognition

Event-Driven Emotion Cause Extraction with Corpus Construction

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

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

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

A Reinforced Generation of Adversarial Examples for Neural Machine Translation

Hierarchical Chinese Legal event extraction via Pedal Attention Mechanism

International Conference on Computational Linguistics

A Reinforced Generation of Adversarial Samples for Neural Machine Translation

The USTC-NELSLIP Offline Speech Translation Systems for IWSLT 2022

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

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


Easily turn large sets of image urls to an image dataset. Can download, resize and package 100M urls in 20h on one machine.

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

LAION-400M: Open Dataset of CLIP-Filtered 400 Million Image-Text Pairs

DataComp: In search of the next generation of multimodal datasets

OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents

Poisoning Web-Scale Training Datasets is Practical

Data Forensics in Diffusion Models: A Systematic Analysis of Membership Privacy

AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation

DialogCC: An Automated Pipeline for Creating High-Quality Multi-Modal Dialogue Dataset

From Categories to Classifier: Name-Only Continual Learning by Exploring the Web

Multimodal Data Curation via Object Detection and Filter Ensembles


SOTA Re-identification Methods and Toolbox

FastReID: A Pytorch Toolbox for General Instance Re-identification

Group-aware Label Transfer for Domain Adaptive Person Re-identification

Partial FC: Training 10 Million Identities on a Single Machine

Unsupervised Pre-training for Person Re-identification

Re-ID Driven Localization Refinement for Person Search

Guided Saliency Feature Learning for Person Re-identification in Crowded Scenes

TransMatcher: Deep Image Matching Through Transformers for Generalizable Person Re-identification

Black Re-ID: A Head-shoulder Descriptor for the Challenging Problem of Person Re-Identification

Reliability-Aware Prediction via Uncertainty Learning for Person Image Retrieval

Semi-Supervised Domain Generalizable Person Re-Identification


A version of RTKLIB optimized for low cost GNSS receivers, especially u-blox receivers.  It is based on RTKLIB 2.4.3 and is kept reasonably closely synced to that branch.  This software is provided “AS IS” without any warranties of any kind so please be careful, especially if using it in any kind of real-time application.

Optimizing the Use of RTKLIB for Smartphone-Based GNSS Measurements

Static Positioning under Tree Canopy Using Low-Cost GNSS Receivers and Adapted RTKLIB Software

POSTER: Testing network-based RTK for GNSS receiver security


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

Format abstraction for sparse tensor algebra compilers

Proceedings of the ACM on Programming Languages

A sparse iteration space transformation framework for sparse tensor algebra

Automatic generation of efficient sparse tensor format conversion routines

Programming Language Design and Implementation

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

Compiling Structured Tensor Algebra

CoNST: Code Generator for Sparse Tensor Networks


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

A Survey of Large Language Models

Benchmarking Large Language Models in Retrieval-Augmented Generation

Secrets of RLHF in Large Language Models Part I: PPO

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

MemoryBank: Enhancing Large Language Models with Long-Term Memory

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

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

LLaMA Beyond English: An Empirical Study on Language Capability Transfer

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

Chinese Open Instruction Generalist: A Preliminary Release


H2O LLM Studio - a framework and no-code GUI for fine-tuning LLMs. Documentation: https://docs.h2o.ai/h2o-llmstudio/

LoRA: Low-Rank Adaptation of Large Language Models

h2oGPT: Democratizing Large Language Models

H2O-Danube-1.8B Technical Report

H2O Open Ecosystem for State-of-the-art Large Language Models

H2O-Danube3 Technical Report


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

Gorilla: Large Language Model Connected with Massive APIs

RAFT: Adapting Language Model to Domain Specific RAG

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

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