Cosette is an automated SQL solver.

Finding code that explodes under symbolic evaluation

Proceedings of the ACM on Programming Languages

Fixing Code that Explodes Under Symbolic Evaluation

Verification, Model Checking and Abstract Interpretation

SPES: A Two-Stage Query Equivalence Verifier.

A Symbolic Approach to Proving Query Equivalence Under Bag Semantics


Automatically exported from code.google.com/p/byte-unixbench

Occlum: Secure and Efficient Multitasking Inside a Single Enclave of Intel SGX

TWENTY-FIFTH INTERNATIONAL CONFERENCE ON ARCHITECTURAL SUPPORT FOR PROGRAMMING LANGUAGES AND OPERATING SYSTEMS (ASPLOS XXV)

DeFog: Fog Computing Benchmarks

RAPPER: Ransomware Prevention via Performance Counters

Benchmarking Crimes: An Emerging Threat in Systems Security

Instruction Filters for Mitigating Attacks on Instruction Emulation in Hypervisors

PROCEEDINGS OF THE 11TH EUROPEAN WORKSHOP ON SYSTEMS SECURITY (EUROSEC 2018)

TaPS: A Performance Evaluation Suite for Task-based Execution Frameworks


A Toolbox for Adversarial Robustness Research

Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks

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

advertorch v0.1: An Adversarial Robustness Toolbox based on PyTorch

Foolbox Native: Fast adversarial attacks to benchmark the robustness of machine learning models in PyTorch, TensorFlow, and JAX

Adversarial Examples on Object Recognition: A Comprehensive Survey

Composite Adversarial Attacks

MALI: A memory efficient and reverse accurate integrator for Neural ODEs

Scattering Model Guided Adversarial Examples for SAR Target Recognition: Attack and Defense

SpoC: Spoofing Camera Fingerprints

DISCO: Adversarial Defense with Local Implicit Functions


[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.

Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution

TorchSparse: Efficient Point Cloud Inference Engine

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Image2Point: 3D Point-Cloud Understanding with 2D Image Pretrained Models

PVNAS: 3D Neural Architecture Search with Point-Voxel Convolution

IEEE transactions on pattern analysis and machine intelligence

TorchSparse++: Efficient Training and Inference Framework for Sparse Convolution on GPUs

TorchSparse++: Efficient Point Cloud Engine

2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Optimizing LiDAR Placements for Robust Driving Perception in Adverse
  Conditions

CenterAtt: Fast 2-stage Center Attention Network

Calib3D: Calibrating Model Preferences for Reliable 3D Scene
  Understanding


source{d} datasets ("big code") for source code analysis and machine learning on source code

CodeTrans: Towards Cracking the Language of Silicon's Code Through Self-Supervised Deep Learning and High Performance Computing

Embedding Java Classes with code2vec: Improvements from Variable Obfuscation

Research Commons (University of Waikato)

Public Git Archive: a Big Code dataset for all

PyNose: A Test Smell Detector For Python

Splitting source code identifiers using Bidirectional LSTM Recurrent Neural Network

So Much in So Little: Creating Lightweight Embeddings of Python Libraries


An awesome code differencing tool

Fine-grained and accurate source code differencing

International Conference on Automated Software Engineering

FixMiner: Mining relevant fix patterns for automated program repair

A Closer Look at Real-World Patches

PROCEEDINGS 2018 IEEE INTERNATIONAL CONFERENCE ON SOFTWARE MAINTENANCE AND EVOLUTION (ICSME)

PyART: Python API Recommendation in Real-Time

IntelliMerge: a refactoring-aware software merging technique

Towards Software Analytics: Modeling Maintenance Activities

A Differential Testing Approach for Evaluating Abstract Syntax Tree Mapping Algorithms

SATDBailiff- Mining and Tracking Self-Admitted Technical Debt

ApacheJIT: A Large Dataset for Just-In-Time Defect Prediction

Spork: Structured Merge for Java With Formatting Preservation

IEEE Transactions on Software Engineering


Generative adversarial networks integrating modules from FUNIT and SPADE for face-swapping.

Semantic Image Synthesis with Spatially-Adaptive Normalization

Few-Shot Unsupervised Image-to-Image Translation

The Creation and Detection of Deepfakes: A Survey

Adversarial Perturbations Fool Deepfake Detectors

FaceSigns: Semi-Fragile Neural Watermarks for Media Authentication and Countering Deepfakes

Digital Face Manipulation in Biometric Systems

Handbook of Digital Face Manipulation and Detection

Psychophysical Evaluation of Human Performance in Detecting Digital Face Image Manipulations

DF-Captcha: A Deepfake Captcha for Preventing Fake Calls


FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset (CVPR2022)

HAvatar: High-fidelity Head Avatar via Facial Model Conditioned Neural Radiance Field

A survey and classification of face alignment methods based on face models


Long read / genome alignment software

Weighted minimizer sampling improves long read mapping

Long-read mapping to repetitive reference sequences using Winnowmap2

A long read mapping method for highly repetitive reference sequences

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


:couple: Joint Discriminative and Generative Learning for Person Re-identification. CVPR'19 (Oral) :couple:

Random Erasing Data Augmentation

Pose-Normalized Image Generation for Person Re-identification

FD-GAN: Pose-guided Feature Distilling GAN for Robust Person Re-identification


Code for "Text Generation from Knowledge Graphs with Graph Transformers"

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

A Survey of Knowledge-enhanced Text Generation

Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference

Identifying Semantic Induction Heads to Understand In-Context Learning

Generalized Supervised Attention for Text Generation

Meeting of the Association for Computational Linguistics


pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.

PySBD: Pragmatic Sentence Boundary Disambiguation

Towards Discourse Parsing-inspired Semantic Storytelling

ReAct: A Review Comment Dataset for Actionability (and more)

Web Information Systems Engineering – WISE 2021

FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question Answering


DocBank: A Benchmark Dataset for Document Layout Analysis

LayoutLM: Pre-training of Text and Layout for Document Image Understanding

TableBank: Table Benchmark for Image-based Table Detection and Recognition

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


The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

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

Task-Robust Model-Agnostic Meta-Learning

Regularizing Meta-Learning via Gradient Dropout

A Simple Yet Effective Strategy to Robustify the Meta Learning Paradigm


Stand-alone language identification system

No Language Left Behind: Scaling Human-Centered Machine Translation

Improved Part-of-Speech Tagging for Online Conversational Text with Word Clusters

North American Chapter of the Association for Computational Linguistics

Shared Tasks of the 2015 Workshop on Noisy User-generated Text: Twitter Lexical Normalization and Named Entity Recognition

The Association for Computational Linguistics

A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction

Many Languages, One Parser

Automatic Language Identification in Texts: A Survey

The University of Edinburgh's Neural MT Systems for WMT17

Word Level Language Identification in Online Multilingual Communication

Empirical Methods in Natural Language Processing

MTNT: A Testbed for Machine Translation of Noisy Text

MarIA: Spanish Language Models


Text2Text Language Modeling Toolkit

CDConv: A Benchmark for Contradiction Detection in Chinese Conversations

Addressing Inquiries about History: An Efficient and Practical Framework for Evaluating Open-domain Chatbot Consistency


A fast Python and command-line utility for extracting simple statistics against genome positions based on sequence alignments from a SAM or BAM file.

Indels, structural variation, and recombination drive genomic diversity in Plasmodium falciparum

Intra-host variation and evolutionary dynamics of SARS-CoV-2 populations in COVID-19 patients

Diversity of Mycobacterium tuberculosis across Evolutionary Scales

Characterization of Potato Virus Y Isolates and Assessment of Nanopore Sequencing to Detect and Genotype Potato Viruses

Genomic Analysis of Plasmodium vivax in Southern Ethiopia Reveals Selective Pressures in Multiple Parasite Mechanisms

Population Bottlenecks and Intra-host Evolution During Human-to-Human Transmission of SARS-CoV-2

Nanopore sequencing technology: a new route for the fast detection of unauthorized GMO

Genomic Analysis Reveals a Common Breakpoint in Amplifications of the Plasmodium vivax Multidrug Resistance 1 Locus in Thailand

First complete female mitochondrial genome in four bivalve species genus Donax and their phylogenetic relationships within the Veneroida order

Gene age shapes the transcriptional landscape of sexual morphogenesis in mushroom-forming fungi (Agaricomycetes)


A trajectory optimization library for Matlab

Toward an Expressive Bipedal Robot: Variable Gait Synthesis and Validation in a Planar Model

International Journal of Social Robotics

Robust Nonlinear Tracking Control with Exponential Convergence Using Contraction Metrics and Disturbance Estimation

Direct Shooting Method for Numerical Optimal Control: A Modified Transcription Approach


The Pharmacogenomic Clinical Annotation Tool

Pharmacogenetics at scale: An analysis of the UK Biobank

Pharmacogenomics Clinical Annotation Tool (PharmCAT)

PharmVIP: A Web-Based Tool for Pharmacogenomic Variant Analysis and Interpretation

Genetic Variation among Pharmacogenes in the Sardinian Population

International journal of molecular sciences

Using the PharmCAT tool for Pharmacogenetic clinical decision support


3D face swapping implemented in Python

DeepFakes and Beyond: A Survey of Face Manipulation and Fake Detection

FSGAN: Subject Agnostic Face Swapping and Reenactment

Thinking in Frequency: Face Forgery Detection by Mining Frequency-aware Clues

Multi-task Learning For Detecting and Segmenting Manipulated Facial Images and Videos

FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals

Noiseprint: a CNN-based camera model fingerprint

WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection

Deepfakes generation and detection: state-of-the-art, open challenges, countermeasures, and way forward

DeepFake Detection by Analyzing Convolutional Traces

Video Face Manipulation Detection Through Ensemble of CNNs


Code for paper "Attention on Attention for Image Captioning". ICCV 2019

Self-critical Sequence Training for Image Captioning

Image Captioning through Image Transformer

Show, Edit and Tell: A Framework for Editing Image Captions

Text Augmentation Using BERT for Image Captioning

Towards Unique and Informative Captioning of Images

Multi-Modal Image Captioning for the Visually Impaired

B-SCST: Bayesian Self-Critical Sequence Training for Image Captioning


Batch effect adjustment based on negative binomial regression for RNA sequencing count data

Prior anti-CTLA-4 therapy impacts molecular characteristics associated with anti-PD-1 response in advanced melanoma.

Plasma Metabolomics Reveals Dysregulated Metabolic Signatures in HIV-Associated Immune Reconstitution Inflammatory Syndrome

Transcriptional profiling of Hutchinson-Gilford Progeria syndrome fibroblasts reveals deficits in mesenchymal stem cell commitment to differentiation related to early events in endochondral ossification

Differential contributions of nuclear lamina association and genome compartmentalization to gene regulation

An in silico approach to the identification of diagnostic and prognostic markers in low-grade gliomas


StegaStamp: Invisible Hyperlinks in Physical Photographs

Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data

Image Data Hiding in Neural Compressed Latent Representations

Stable Messenger: Steganography for Message-Concealed Image Generation

DBDH: A Dual-Branch Dual-Head Neural Network for Invisible Embedded Regions Localization


gnn explainer

Deep Learning on Graphs: A Survey

GNNExplainer: Generating Explanations for Graph Neural Networks

PGM-Explainer: Probabilistic Graphical Model Explanations for Graph Neural Networks

GraphFramEx: Towards Systematic Evaluation of Explainability Methods for Graph Neural Networks

Jointly Attacking Graph Neural Network and its Explanations

A Survey on Graph Counterfactual Explanations: Definitions, Methods, Evaluation, and Research Challenges

DAG Matters! GFlowNets Enhanced Explainer For Graph Neural Networks

Perturb More, Trap More: Understanding Behaviors of Graph Neural Networks

On the Probability of Necessity and Sufficiency of Explaining Graph Neural Networks: A Lower Bound Optimization Approach

Interpretable Prototype-based Graph Information Bottleneck


FP16xINT4 LLM inference kernel that can achieve near-ideal ~4x speedups up to medium batchsizes of 16-32 tokens.

Mitigating the Impact of Outlier Channels for Language Model
  Quantization with Activation Regularization

MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models

Optimizing Speculative Decoding for Serving Large Language Models Using Goodput

T-MAC: CPU Renaissance via Table Lookup for Low-Bit LLM Deployment on
  Edge

QQQ: Quality Quattuor-Bit Quantization for Large Language Models

Fast Matrix Multiplications for Lookup Table-Quantized LLMs


Layer over brightway2 for algebraic definition of parametric models and super fast computation of LCA


Create DSSP and HSSP files

ProSPr: Democratized Implementation of Alphafold Protein Distance Prediction Network

Data set of intrinsically disordered proteins analysed at a local protein conformation level

Facilities that make the PDB data collection more powerful

Protein science : a publication of the Protein Society


CKIP Neural Chinese Word Segmentation, POS Tagging, and NER

Why Attention? Analyze BiLSTM Deficiency and Its Remedies in the Case of NER

CxLM: A Construction and Context-aware Language Model

LREC 2022: THIRTEEN INTERNATIONAL CONFERENCE ON LANGUAGE RESOURCES AND EVALUATION

g2pW: A Conditional Weighted Softmax BERT for Polyphone Disambiguation in Mandarin

Investigating COVID-19 News before and after the Soft Lockdown: An Example from Taiwan

Exploring Methods for Building Dialects-Mandarin Code-Mixing Corpora: A Case Study in Taiwanese Hokkien

Multifaceted Assessments of Traditional Chinese Word Segmentation Tool on Large Corpora

Taiwan Conference on Computational Linguistics and Speech Processing


The Tractor: measuring astronomical sources via probabilistic inference

The DESI Experiment Part I: Science,Targeting, and Survey Design

Overview of the DESI Legacy Imaging Surveys

The Circumgalactic Medium of eBOSS Emission Line Galaxies: Signatures of Galactic Outflows in Gas Distribution and Kinematics

First Discoveries of z > 6 Quasars with the DECam Legacy Survey and UKIRT Hemisphere Survey

The SDSS-IV extended Baryon Oscillation Spectroscopic Survey: final emission line galaxy target selection

Monthly Notices of the Royal Astronomical Society

Galaxy clustering in the DESI Legacy Survey and its imprint on the CMB

Variations in the Width, Density, and Direction of the Palomar 5 Tidal Tails

Preliminary Target Selection for the DESI Bright Galaxy Survey (BGS)

Mining for Strong Gravitational Lenses with Self-supervised Learning

The Coevolution of Galaxies and the Cool Circumgalactic Medium Probed with the SDSS and DESI Legacy Imaging Surveys


Python utilities for Cytoscape and Cytoscape.js

Cytoscape Automation: empowering workflow-based network analysis

CyREST: Turbocharging Cytoscape Access for External Tools via a RESTful API

Identifier Mapping in Cytoscape

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

eXamine: Visualizing annotated networks in Cytoscape

Production of Epoxyketone Peptide-Based Proteasome Inhibitors by Streptomyces sp. BRA-346: Regulation and Biosynthesis


PopPUNK  (POPulation Partitioning Using Nucleotide Kmers)

Fast and flexible bacterial genomic epidemiology with PopPUNK

The Mobilome-Enriched Genome of the Competence-Deficient Streptococcus pneumoniae BM6001, the Original Host of Integrative Conjugative Element Tn5253, Is Phylogenetically Distinct from Historical Pneumococcal Genomes

Genealogical inference and more flexible sequence clustering using iterative PopPUNK


Foundation Architecture for (M)LLMs

Language Is Not All You Need: Aligning Perception with Language Models

Retentive Network: A Successor to Transformer for Large Language Models

DeepNet: Scaling Transformers to 1,000 Layers

LongNet: Scaling Transformers to 1,000,000,000 Tokens

A Length-Extrapolatable Transformer

On the Representation Collapse of Sparse Mixture of Experts

Adapting Large Language Models via Reading Comprehension

Stabilizing Transformer Training by Preventing Attention Entropy Collapse

Foundation Transformers

TorchScale: Transformers at Scale


OpenSK is an open-source implementation for security keys written in Rust that supports both FIDO U2F and FIDO2 standards.

Security and Trust in Open Source Security Tokens

IACR Transactions on Cryptographic Hardware and Embedded Systems

Hybrid Post-quantum Signatures in Hardware Security Keys

How Not to Handle Keys: Timing Attacks on FIDO Authenticator Privacy


SPU (Secure Processing Unit) aims to be a provable, measurable secure computation device, which provides computation ability while keeping your private data protected.

PUMA: Secure Inference of LLaMA-7B in Five Minutes

Online Efficient Secure Logistic Regression based on Function Secret Sharing

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management


Official repository of the AWS EC2 FPGA Hardware and Software Development Kit

StealthDB: a Scalable Encrypted Database with Full SQL Query Support

Security of Cloud FPGAs: A Survey

ShEF: shielded enclaves for cloud FPGAs

Denial-of-Service on FPGA-based Cloud Infrastructures — Attack and Defense

MeetGo: A Trusted Execution Environment for Remote Applications on FPGA

Revisiting the High-Performance Reconfigurable Computing for Future Datacenters

VITI: A Tiny Self-Calibrating Sensor for Power-Variation Measurement in FPGAs

Secret Sharing MPC on FPGAs in the Datacenter

Making Search Engines Faster by Lowering the Cost of Querying Business Rules Through FPGAs

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

SoK: On the Security Challenges and Risks of Multi-Tenant FPGAs in the Cloud


Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)

Language models can learn complex molecular distributions

Sample-Efficient Optimization in the Latent Space of Deep Generative Models via Weighted Retraining

Barking up the right tree: an approach to search over molecule synthesis DAGs

Graph-based Molecular Representation Learning

Improving black-box optimization in VAE latent space using decoder uncertainty

Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation

Graph Polish: A Novel Graph Generation Paradigm for Molecular Optimization

An efficient graph generative model for navigating ultra-large combinatorial synthesis libraries

Automated patent extraction powers generative modeling in focused chemical spaces


CNN-RNN中文文本分类，基于TensorFlow

Convolutional Neural Networks for Sentence Classification

Character-level Convolutional Networks for Text Classification

Pre-Training with Whole Word Masking for Chinese BERT

Revisiting Pre-Trained Models for Chinese Natural Language Processing

Android Malware Detection using Sequential Convolutional Neural Networks


Facebook's Realtime Distributed FS based on Apache Hadoop 0.20-append

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

Repair Pipelining for Erasure-coded Storage: Algorithms and Evaluation

Repairing Reed-Solomon Codes

Efficient Storage Scaling for MBR and MSR Codes

SDCUP: Software-Defined-Control Based Erasure-Coded Collaborative Data Update Mechanism


Label Rotated Rect On Images for training

Towards Self-Supervision for Video Identification of Individual Holstein-Friesian Cattle: The Cows2021 Dataset

A Dual-Polarimetric SAR Ship Detection Dataset and a Memory-Augmented Autoencoder-Based Detection Method

UAV Imagery for Automatic Multi-Element Recognition and Detection of Road Traffic Elements

WSRD-Net: A Convolutional Neural Network-Based Arbitrary-Oriented Wheat Stripe Rust Detection Method

Learning to Holistically Detect Bridges from Large-Size VHR Remote Sensing Imagery

Orientation aware weapons detection in visual data: a benchmark dataset

Fonts That Fit the Music: A Multimodal Design Trend Analysis of Lyric Videos

Lyric Video Analysis Using Text Detection and Tracking


Download Datasets and Ground Truths:  https://github.com/TuSimple/tusimple-benchmark/issues/3

RESA: Recurrent Feature-Shift Aggregator for Lane Detection

PersFormer: 3D Lane Detection via Perspective Transformer and the OpenLane Benchmark

Deflating Dataset Bias Using Synthetic Data Augmentation

OpenLane-V2: A Topology Reasoning Benchmark for Unified 3D HD Mapping

Physical Backdoor Attacks to Lane Detection Systems in Autonomous Driving

High-Definition Map Generation Technologies For Autonomous Driving

A Fast and Robust Lane Detection Method Based on Semantic Segmentation and Optical Flow Estimation

A Survey on Autonomous Driving Datasets: Statistics, Annotation Quality, and a Future Outlook

Enabling Retrain-free Deep Neural Network Pruning Using Surrogate Lagrangian Relaxation

Open-sourced Data Ecosystem in Autonomous Driving: the Present and Future


APTnotes data

Generating Fake Cyber Threat Intelligence Using Transformer-Based Models

What Are the Attackers Doing Now? Automating Cyberthreat Intelligence Extraction from Text on Pace with the Changing Threat Landscape: A Survey

A Machine Learning Approach for the NLP-Based Analysis of Cyber Threats and Vulnerabilities of the Healthcare Ecosystem

Automated Dataset Generation System for Collaborative Research of Cyber Threat Intelligence Analysis.

ThreatKG: A Threat Knowledge Graph for Automated Open-Source Cyber Threat Intelligence Gathering and Management

On Preempting Advanced Persistent Threats Using Probabilistic Graphical Models

A Structured Analysis of Information Security Incidents in the Maritime Sector

On Learning Word Embeddings From Linguistically Augmented Text Corpora

Proceedings of the 13th International Conference on Computational Semantics - Short Papers

A Pretrained Language Model for Cyber Threat Intelligence

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: Industry Track

APT-MMF: An advanced persistent threat actor attribution method based on multimodal and multilevel feature fusion


Natural Questions: A Benchmark for Question Answering Research

Transactions of the Association for Computational Linguistics

Simple and Effective Multi-Paragraph Reading Comprehension

Unsupervised Question Answering by Cloze Translation

Meeting of the Association for Computational Linguistics

Multi-Hop Paragraph Retrieval for Open-Domain Question Answering

SberQuAD - Russian Reading Comprehension Dataset: Description and Analysis

HAS-QA: Hierarchical Answer Spans Model for Open-domain Question Answering

UNIQORN: Unified Question Answering over RDF Knowledge Graphs and Natural Language Text

Probabilistic Assumptions Matter: Improved Models for Distantly-Supervised Document-Level Question Answering

Language Model Pre-training for Hierarchical Document Representations

Comparative Analysis of Neural QA models on SQuAD


Dynamic analysis of Android apps

R2-D2: ColoR-inspired Convolutional NeuRal Network (CNN)-based AndroiD Malware Detections

EMULATOR vs REAL PHONE: Android Malware Detection Using Machine Learning

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

Machine learning-based dynamic analysis of Android apps with improved code coverage

Improving Dynamic Analysis of Android Apps Using Hybrid Test Input Generation

A Method for Automatic Android Malware Detection Based on Static Analysis and Deep Learning

A Fog Computing Solution for Context-Based Privacy Leakage Detection for Android Healthcare Devices

Semi-supervised classification for dynamic Android malware detection

An Analysis of Android Malware Classification Services

Android İşletim Sisteminde Kötücül Yazılım Tespit Sistemleri


Sentence paraphrase generation at the sentence level

Automatic Fact-guided Sentence Modification

Abstractive Snippet Generation

WEB CONFERENCE 2020: PROCEEDINGS OF THE WORLD WIDE WEB CONFERENCE (WWW 2020)

Effective Data Augmentation Approaches to End-to-End Task-Oriented Dialogue

Reading Between the Demographic Lines: Resolving Sources of Bias in Toxicity Classifiers


Text classifier for Hierarchical Attention Networks for Document Classification

A Survey on Text Classification: From Shallow to Deep Learning

Weakly-Supervised Neural Text Classification

International Conference on Information and Knowledge Management

Multi-label Categorization of Accounts of Sexism using a Neural Framework


OpenAccess papers mined for Climate Change


Explains the usage of the openLCA API from Python (Jython)


Monolingual wordlists with pronunciation information in IPA

RAVEL: Evaluating Interpretability Methods on Disentangling Language
  Model Representations

Learning to pronounce as measuring cross-lingual joint orthography-phonology complexity


EQTransformer, a python package for earthquake signal detection and phase picking using AI.

Earthquake transformer—an attentive deep-learning model for simultaneous earthquake detection and phase picking

Comparison of Deep Learning Techniques for the Investigation of a Seismic Sequence: An Application to the 2019, Mw 4.5 Mugello (Italy) Earthquake

Journal of Geophysical Research: Solid Earth

Small Magnitude Events Highlight the Correlation Between Hydraulic Fracturing Injection Parameters, Geological Factors, and Earthquake Occurrence


Intratumoural Heterogeneity Underlies Distinct Therapy Responses and Treatment Resistance in Glioblastoma

Efficient detection and monitoring of pediatric brain malignancies with liquid biopsy based on patient-specific somatic mutation screening

qmotif: determination of telomere content from whole-genome sequence data

Computer Architecture-Aware Optimisation of DNA Analysis Systems


Mirror of Apache PDFBox

Mining Fix Patterns for FindBugs Violations

Improving the Accessibility of Scientific Documents: Current State, User Needs, and a System Solution to Enhance Scientific PDF Accessibility for Blind and Low Vision Users

A comprehensive study of pseudo-tested methods

Active Learning of Discriminative Subgraph Patterns for API Misuse Detection

IEEE Transactions on Software Engineering

Production Monitoring to Improve Test Suites

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

Flaky Test Sanitisation via On-the-Fly Assumption Inference for Tests with Network Dependencies

Information Extraction from Visually Rich Documents with Font Style Embeddings


De Novo Mass Spectrometry Peptide Sequencing with a Transformer Model

De novo mass spectrometry peptide sequencing with a transformer model

Sequence-to-sequence translation from mass spectra to peptides with a transformer model

A learned score function improves the power of mass spectrometry database search


An npm module for accessing the green web API, and estimating the carbon emissions from using digital services


OCR engine for all the languages

OCR4all - An Open-Source Tool Providing a (Semi-)Automatic OCR Workflow for Historical Printings

Building an efficient OCR system for historical documents with little training data

Important New Developments in Arabographic Optical Character Recognition (OCR)

Stylometry for Noisy Medieval Data: Evaluating Paul Meyer's Hagiographic Hypothesis

Page Layout Analysis of Text-heavy Historical Documents: a Comparison of Textual and Visual Approaches

Improving Automatic Text Recognition with Language Models in the PyLaia Open-Source Library

Reconnaissance d’entités nommées sur des sorties OCR bruitées : des pistes pour la désambiguïsation morphologique automatique (Resolution of entity linking issues on noisy OCR output : automatic disambiguation tracks)


A PyTorch Library for Meta-learning Research

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

Prototypical Networks for Few-shot Learning

On First-Order Meta-Learning Algorithms

Meta-Learning with Differentiable Convex Optimization

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

Meta-learning with differentiable closed-form solvers

Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML

A Baseline for Few-Shot Image Classification

ProMP: Proximal Meta-Policy Search

Generalized Inner Loop Meta-Learning


Extremely Fast Compression algorithm

Sprintz: Time Series Compression for the Internet of Things

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

JUNGFRAU detector for brighter x-ray sources: Solutions for IT and data science challenges in macromolecular crystallography

Is it time to replace gzip? Comparison of modern compressors for molecular sequence databases

A practical approach to storage and retrieval of high-frequency physiological signals

Hadoop Perfect File: A fast and memory-efficient metadata access archive file to face small files problem in HDFS

Journal of Parallel and Distributed Computing

EIGER2 hybrid-photon-counting X-ray detectors for advanced synchrotron diffraction experiments

Fast OLAP Query Execution in Main Memory on Large Data in a Cluster

R2F: A Remote Retraining Framework for AIoT Processors With Computing Errors

Validating UTF-8 In Less Than One Instruction Per Byte

MRCZ – A proposed fast compressed MRC file format and direct detector normalization strategies


Unofficial implementation of EfficientAD https://arxiv.org/abs/2303.14535

EfficientAD: Accurate Visual Anomaly Detection at Millisecond-Level Latencies

AUPIMO: Redefining Visual Anomaly Detection Benchmarks with High Speed and Low Tolerance

Supervised Anomaly Detection for Complex Industrial Images


Detect the programming language of a source code

StarCoder 2 and The Stack v2: The Next Generation

Understanding code snippets in code reviews

Proceedings of the 30th IEEE/ACM International Conference on Program Comprehension


Road Damage Detection and Classification Using Deep Neural Networks with Smartphone Images

Deep Learning in Data-Driven Pavement Image Analysis and Automated Distress Detection: A Review

International Conference on Data Technologies and Applications

Transfer Learning-based Road Damage Detection for Multiple Countries

RDD2022: A multi-national image dataset for automatic Road Damage Detection

Computer vision for road imaging and pothole detection: a state-of-the-art review of systems and algorithms

Road surface detection and differentiation considering surface damages

Advances in deep learning methods for pavement surface crack detection and identification with visible light visual images


FoLiA Linguistic Annotation Tool -- Flat is a web-based linguistic annotation environment based around the FoLiA format (http://proycon.github.io/folia), a rich XML-based format for linguistic annotation. Flat allows users to view annotated FoLiA documents and enrich these documents with new annotations, a wide variety of linguistic annotation types is supported through the FoLiA paradigm.

An extensive review of tools for manual annotation of documents

The PARSEME Shared Task on Automatic Identification of Verbal Multiword Expressions

Proceedings of the 13th Workshop on Multiword Expressions (MWE 2017)

UCCAApp: Web-application for Syntactic and Semantic Phrase-based Annotation

PROCEEDINGS OF THE 55TH ANNUAL MEETING OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS (ACL 2017): SYSTEM DEMONSTRATIONS

FITAnnotator: A Flexible and Intelligent Text Annotation System

North American Chapter of the Association for Computational Linguistics

A French corpus annotated for multiword expressions and named entities

Event Coreference Resolution for Contentious Politics Events

@PhilosTEI: Building Corpora for Philosophers

Extending TextAE for annotation of non-contiguous entities


kmeans using PyTorch

COMPOSER: Compositional Reasoning of Group Activity in Videos with Keypoint-Only Modality

Finding the Task-Optimal Low-Bit Sub-Distribution in Deep Neural Networks

From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Model to Pre-trained Machine Reader

CELDA: Leveraging Black-box Language Model as Enhanced Classifier without Labels


A package to download ECMWF open data


ChatYuan: Large Language Model for Dialogue in Chinese and English

Zero-Shot Cross-Lingual Summarization via Large Language Models

Understanding LLMs: A Comprehensive Overview from Training to Inference

CARE-MI: Chinese Benchmark for Misinformation Evaluation in Maternity and Infant Care

MetaAID 2.0: An Extensible Framework for Developing Metaverse Applications via Human-controllable Pre-trained Models

RENOVI: A Benchmark Towards Remediating Norm Violations in
  Socio-Cultural Conversations

SADAS: A Dialogue Assistant System Towards Remediating Norm Violations
  in Bilingual Socio-Cultural Conversations


Given a scholarly PDF, extract figures, tables, captions, and section titles.

Multiple Instance Captioning: Learning Representations from Histopathology Textbooks and Articles

DLPaper2Code: Auto-generation of Code from Deep Learning Research Papers

SciCap+: A Knowledge Augmented Dataset to Study the Challenges of Scientific Figure Captioning

SPIQA: A Dataset for Multimodal Question Answering on Scientific Papers


A library for preparing data for machine translation research (monolingual preprocessing, bitext mining, etc.) built by the FAIR NLLB team.

Sequence-Level Knowledge Distillation

No Language Left Behind: Scaling Human-Centered Machine Translation

Seamless: Multilingual Expressive and Streaming Speech Translation

Detecting and Mitigating Hallucinations in Machine Translation: Model Internal Workings Alone Do Well, Sentence Similarity Even Better

SeamlessM4T: Massively Multilingual & Multimodal Machine Translation

HalOmi: A Manually Annotated Benchmark for Multilingual Hallucination and Omission Detection in Machine Translation

Toxicity in Multilingual Machine Translation at Scale

BLASER: A Text-Free Speech-to-Speech Translation Evaluation Metric

Making Flow-Matching-Based Zero-Shot Text-to-Speech Laugh as You Like

ReSeTOX: Re-learning attention weights for toxicity mitigation in machine translation


This is a collection of our NAS and Vision Transformer work.

Rethinking and Improving Relative Position Encoding for Vision Transformer

AutoFormer: Searching Transformers for Visual Recognition

EfficientViT: Memory Efficient Vision Transformer with Cascaded Group Attention

TinyViT: Fast Pretraining Distillation for Small Vision Transformers

MiniViT: Compressing Vision Transformers with Weight Multiplexing

Cream of the Crop: Distilling Prioritized Paths For One-Shot Neural Architecture Search

Cyclic Differentiable Architecture Search

Searching the Search Space of Vision Transformer

TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance

Onboard Satellite Image Classification for Earth Observation: A Comparative Study of ViT Models


Upper atmosphere climatological models in Python

Snakes on a Spaceship—An Overview of Python in Heliophysics

Journal of Geophysical Research: Space Physics

New results on equatorial thermospheric winds and temperatures from Ethiopia, Africa

Climatology of thermospheric neutral winds over Oukaïmeden Observatory in Morocco

Evaluation of Ionospheric Scintillation in GNSS Radio Occultation Measurements and Simulations

On a simple, data-aided analytic description of the morphology of equatorial F-region zonal plasma drifts

On Definition of BigData


A tool to map bisulfite converted sequence reads and determine cytosine methylation states

From asymmetrical to balanced genomic diversification during rediploidization: Subgenomic evolution in allotetraploid fish

Systematic evaluation of library preparation methods and sequencing platforms for high-throughput whole genome bisulfite sequencing

Introduction to Single-Cell DNA Methylation Profiling Methods

H3K9me selectively blocks transcription factor activity and ensures differentiated tissue integrity

Drivers underpinning the malignant transformation of giant cell tumour of bone

Abstract 2659: 5-methylcytosine (m5C) RNA modification controls the innate immune response to virus infection by regulating type I interferons

BCREval: a computational method to estimate the bisulfite conversion ratio in WGBS

Continuous Developmental and Early Life Trichloroethylene Exposure Promoted DNA Methylation Alterations in Polycomb Protein Binding Sites in Effector/Memory CD4+ T Cells

Bioinformatics and Machine Learning Approaches to Understand the Regulation of Mobile Genetic Elements

Comparing methylation levels assayed in GC-rich regions with current and emerging methods


MAGIC (Markov Affinity-based Graph Imputation of Cells), is a method for imputing missing values restoring structure of large biological datasets.

DrImpute: imputing dropout events in single cell RNA sequencing data

DeepImpute: an accurate, fast, and scalable deep neural network method to impute single-cell RNA-seq data

K-nearest neighbor smoothing for high-throughput single-cell RNA-Seq data

Targeting TMEM176B Enhances Antitumor Immunity and Augments the Efficacy of Immune Checkpoint Blockers by Unleashing Inflammasome Activation

netSmooth: Network-smoothing based imputation for single cell RNA-seq

A universal deep neural network for in-depth cleaning of single-cell RNA-Seq data

Evaluation of some aspects in supervised cell type identification for single-cell RNA-seq: classifier, feature selection, and reference construction

Interferon-stimulated neutrophils as a predictor of immunotherapy response

Molecular Cross-Validation for Single-Cell RNA-seq

scRNA‐seq data analysis method to improve analysis performance


a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

Cellpose 2.0: how to train your own model

Omnipose: a high-precision morphology-independent solution for bacterial cell segmentation

A calibrated optogenetic toolbox of stable zebrafish opsin lines

Cellpose3: one-click image restoration for improved cellular segmentation

Cell non-autonomy amplifies disruption of neurulation by mosaic Vangl2 deletion in mice

NucMM Dataset: 3D Neuronal Nuclei Instance Segmentation at Sub-Cubic Millimeter Scale

Deep Learning in Single-Cell Analysis

Biased Coupling to β-Arrestin of Two Common Variants of the CB2 Cannabinoid Receptor

Scellseg: A style-aware deep learning tool for adaptive cell instance segmentation by contrastive fine-tuning

Multiplexed 3D Analysis of Immune States and Niches in Human Tissue

bioRxiv : the preprint server for biology


A numeric optimization package for Torch.

MUTAN: Multimodal Tucker Fusion for Visual Question Answering

Online Learning Rate Adaptation with Hypergradient Descent

Low-dose cryo electron ptychography via non-convex Bayesian optimization

Shallow Updates for Deep Reinforcement Learning

Comparing Neural- and N-Gram-Based Language Models for Word Segmentation

Journal of the Association for Information Science and Technology


TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.

Masked Autoencoders Are Scalable Vision Learners

Hierarchical Text-Conditional Image Generation with CLIP Latents

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

CoCa: Contrastive Captioners are Image-Text Foundation Models

MDETR - Modulated Detection for End-to-End Multi-Modal Understanding

FLAVA: A Foundational Language And Vision Alignment Model

Masked Autoencoders that Listen

OmniVL:One Foundation Model for Image-Language and Video-Language Tasks

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations)


MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

Convergence of Edge Computing and Deep Learning: A Comprehensive Survey

IEEE Communications Surveys and Tutorials

PatDNN: Achieving Real-Time DNN Execution on Mobile Devices with Pattern-based Weight Pruning

TWENTY-FIFTH INTERNATIONAL CONFERENCE ON ARCHITECTURAL SUPPORT FOR PROGRAMMING LANGUAGES AND OPERATING SYSTEMS (ASPLOS XXV)

PCONV: The Missing but Desirable Sparsity in DNN Weight Pruning for Real-time Execution on Mobile Devices

MNN: A Universal and Efficient Inference Engine

YOLObile: Real-Time Object Detection on Mobile Devices via Compression-Compilation Co-Design

Mix and Match: A Novel FPGA-Centric Deep Neural Network Quantization Framework

EdgeRec: Recommender System on Edge in Mobile Taobao

EasyQuant: Post-training Quantization via Scale Optimization

Satellite IoT Edge Intelligent Computing: A Research on Architecture

RTMobile: Beyond Real-Time Mobile Acceleration of RNNs for Speech Recognition


Content-Aware Unsupervised Deep Homography Estimation

Deep Image Homography Estimation

Unsupervised Deep Homography: A Fast and Robust Homography Estimation Model

Head and Eye Egocentric Gesture Recognition for Human-Robot Interaction Using Eyewear Cameras


Yet another repository for developing and benchmarking deep learning-based change detection methods.

Fully Convolutional Siamese Networks for Change Detection

A Spatial-Temporal Attention-Based Method and a New Dataset for Remote Sensing Image Change Detection

Remote Sensing Image Change Detection With Transformers

IEEE Transactions on Geoscience and Remote Sensing

A deeply supervised image fusion network for change detection in high resolution bi-temporal remote sensing images

ISPRS Journal of Photogrammetry and Remote Sensing

SNUNet-CD: A Densely Connected Siamese Network for Change Detection of VHR Images

IEEE Geoscience and Remote Sensing Letters

Street-view change detection with deconvolutional networks

Transition Is a Process: Pair-to-Video Change Detection Networks for Very High Resolution Remote Sensing Images

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


Markov Decision Process (MDP) Toolbox for Python

A First-Order Approach to Accelerated Value Iteration

First-Order Methods for Wasserstein Distributionally Robust MDP

Lexicographic Multi-Objective Reinforcement Learning

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence

Trust-Aware Planning: Modeling Trust Evolution in Iterated Human-Robot Interaction

Beyond discounted returns: Robust Markov decision processes with average and Blackwell optimality


Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.

A Minimalist Approach to Offline Reinforcement Learning

Offline Reinforcement Learning with Implicit Q-Learning

Online Decision Transformer

CORL: Research-oriented Deep Offline Reinforcement Learning Library

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

Supported Policy Optimization for Offline Reinforcement Learning

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

Transformer models: an introduction and catalog

Elastic Decision Transformer


An easy-to-use Python library for processing and manipulating 3D point clouds and meshes.

Sinkhorn Distances: Lightspeed Computation of Optimal Transportation Distances

Skeleton-bridged Point Completion: From Global Inference to Local Adjustment

NeAT: Learning Neural Implicit Surfaces with Arbitrary Topologies from Multi-view Images

Neural LiDAR Fields for Novel View Synthesis

Mosaic-SDF for 3D Generative Models

Towards 3D VR-Sketch to 3D Shape Retrieval

3D VR Sketch Guided 3D Shape Prototyping and Exploration

Prediction of yield surface of single crystal copper from discrete dislocation dynamics and geometric learning

Grounding Continuous Representations in Geometry: Equivariant Neural
  Fields

Towards Safer Robot-Assisted Surgery: A Markerless Augmented Reality Framework


PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html

Neural Codec Language Models are Zero-Shot Text to Speech Synthesizers

UniCATS: A Unified Context-Aware Text-to-Speech Framework with Contextual VQ-Diffusion and Vocoding

CLaM-TTS: Improving Neural Codec Language Model for Zero-Shot
  Text-to-Speech

Fewer-token Neural Speech Codec with Time-invariant Codes

Transduce and Speak: Neural Transducer for Text-to-Speech with Semantic Token Prediction

Acoustic BPE for Speech Generation with Discrete Tokens

Speech Slytherin: Examining the Performance and Efficiency of Mamba for
  Speech Separation, Recognition, and Synthesis

TraceableSpeech: Towards Proactively Traceable Text-to-Speech with Watermarking

Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio
  Language Model

Phonetic Enhanced Language Modeling for Text-to-Speech Synthesis


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


SOLL is a new compiler for generate Ewasm from solidity and yul. See a demo here: https://asciinema.org/a/ezJqNLicn5fya02zwu4VXIo8a

WANA: Symbolic Execution of Wasm Bytecode for Cross-Platform Smart Contract Vulnerability Detection

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


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


cisst/SAW stack for the da Vinci Research Kit (dVRK)

Accelerating Surgical Robotics Research: A Review of 10 Years With the da Vinci Research Kit

A Robotic Recording and Playback Platform for Training Surgeons and Learning Autonomous Behaviors Using the da Vinci Surgical System

Unsupervised Identification of Surgical Robotic Actions From Small Homogeneous Datasets

Caveats on the first-generation da Vinci Research Kit: latent technical constraints and essential calibrations


Sparsity-aware deep learning inference runtime for CPUs

SparseGPT: Massive Language Models Can Be Accurately Pruned in One-Shot

Structured Pruning Learns Compact and Accurate Models

Optimal Brain Compression: A Framework for Accurate Post-Training Quantization and Pruning

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

How Well Do Sparse ImageNet Models Transfer?

SPDY: Accurate Pruning with Speedup Guarantees

SparseProp: Efficient Sparse Backpropagation for Faster Training of Neural Networks

Accurate Neural Network Pruning Requires Rethinking Sparse Optimization

Enabling High-Sparsity Foundational Llama Models with Efficient Pretraining and Deployment

Sparse Fine-tuning for Inference Acceleration of Large Language Models


Official implementation of DeepLabCut: Markerless pose estimation of user-defined features with deep learning for all animals incl. humans

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

Deep learning tools for the measurement of animal behavior in neuroscience

Multi-animal pose estimation, identification and tracking with DeepLabCut

Pretraining boosts out-of-domain robustness for pose estimation

Practices and Applications of Convolutional Neural Network-Based Computer Vision Systems in Animal Farming: A Review

The quantification of gesture–speech synchrony: A tutorial and validation of multimodal data acquisition using device-based and video-based motion tracking

Open-Source Tools for Behavioral Video Analysis: Setup, Methods, and Development

A Deep Learning-Based Approach to Video-Based Eye Tracking for Human Psychophysics

Scientific Community Image Forum: A discussion forum for scientific image software

AI-enabled, implantable, multichannel wireless telemetry for photodynamic therapy


Web app for visualizing pathogen evolution

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

Genomic epidemiology supports multiple introductions and cryptic transmission of Zika virus in Colombia

Genetic and antigenic characterization of an expanding H3 influenza A virus clade in US swine visualized by Nextstrain

A Multiplexed, Tiled PCR Method for Rapid Whole-Genome Sequencing of Infectious Spleen and Kidney Necrosis Virus (ISKNV) in Tilapia

Whole-Genome-Based Helicobacter pylori Geographic Surveillance: A Visualized and Expandable Webtool

SARS-CoV-2 Within-Host and in vitro Genomic Variability and Sub-Genomic RNA Levels Indicate Differences in Viral Expression Between Clinical Cohorts and in vitro Culture

SARS-CoV-2 Pandemic Tracing in Italy Highlights Lineages with Mutational Burden in Growing Subsets

International journal of molecular sciences

SARS-CoV-2 Genomic Epidemiology Dashboards: A Review of Functionality and Technological Frameworks for the Public Health Response

In field use of water samples for genomic surveillance of ISKNV infecting tilapia fish in Lake Volta, Ghana

Contrasting Distribution of SARS-CoV-2 Lineages across Multiple Rounds of Pandemic Waves in West Bengal, the Gateway of East and North-East States of India


Memory-Efficient Pipeline-Parallel DNN Training

A Linear Algebraic Approach to Model Parallelism in Deep Learning

A Survey and Empirical Evaluation of Parallel Deep Learning Frameworks


Kernel Point Convolutions

KPConv: Flexible and Deformable Convolution for Point Clouds

Mix3D: Out-of-Context Data Augmentation for 3D Scenes

A Benchmark for LiDAR-based Panoptic Segmentation based on KITTI

OpenGF: An Ultra-Large-Scale Ground Filtering Dataset Built Upon Open ALS Point Clouds Around the World

Calib3D: Calibrating Model Preferences for Reliable 3D Scene
  Understanding


release version

De novo annotation and characterization of the translatome with ribosome profiling data

LncRNA-Encoded Peptide: Functions and Predicting Methods

Tracing Translational Footprint by Ribo-Seq: Principle, Workflow, and Applications to Understand the Mechanism of Human Diseases


A unified framework of perturbation and gradient-based attribution methods for Deep Neural Networks interpretability. DeepExplain also includes support for Shapley Values sampling. (ICLR 2018)

Towards Robust Interpretability with Self-Explaining Neural Networks

Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey

On the Robustness of Interpretability Methods

How Convolutional Neural Networks Diagnose Plant Disease

Trustworthy AI: A Computational Perspective

Black Box Explanation by Learning Image Exemplars in the Latent Feature Space

Toward Explainable AI for Regression Models

Towards Faithful Model Explanation in NLP: A Survey

Explainable AI for Bioinformatics: Methods, Tools, and Applications

Noise-adding Methods of Saliency Map as Series of Higher Order Partial Derivative


Out of time: automated lip sync in the wild

A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild

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

CN-Celeb: multi-genre speaker recognition

Neural Dubber: Dubbing for Videos According to Scripts

Emotionally Enhanced Talking Face Generation

On the Audio-visual Synchronization for Lip-to-Speech Synthesis

LipVoicer: Generating Speech from Silent Videos Guided by Lip Reading

Extreme-scale Talking-Face Video Upsampling with Audio-Visual Priors

Proceedings of the 30th ACM International Conference on Multimedia

RADIO: Reference-Agnostic Dubbing Video Synthesis


SincNet is a neural architecture for efficiently processing raw audio samples.

LEAF: A Learnable Frontend for Audio Classification

Universal Adversarial Perturbations Generative Network for Speaker Recognition

Interpretable Convolutional Filters with SincNet

Detecting Spoofing Attacks Using VGG and SincNet: BUT-Omilia Submission to ASVspoof 2019 Challenge

Study of Pre-processing Defenses against Adversarial Attacks on State-of-the-art Speaker Recognition Systems

Speech and Speaker Recognition from Raw Waveform with SincNet

Tune-In: Training Under Negative Environments with Interference for Attention Networks Simulating Cocktail Party Effect

On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples

Robust Raw Waveform Speech Recognition Using Relevance Weighted Representations


Library for collision detection between two convex shapes

Relaxed-Rigidity Constraints: Kinematic Trajectory Optimization and Collision Avoidance for In-Grasp Manipulation

Geometric In-Hand Regrasp Planning: Alternating Optimization of Finger Gaits and In-Grasp Manipulation

DiffCo: Autodifferentiable Proxy Collision Detection With Multiclass Labels for Safety-Aware Trajectory Optimization

Contact Models in Robotics: a Comparative Analysis


Single-document unsupervised keyword extraction

YAKE! Keyword extraction from single documents using multiple local features

A Review of Keyphrase Extraction

POINTER: Constrained Progressive Text Generation via Insertion-based Generative Pre-training

AttentionRank: Unsupervised Keyphrase Extraction using Self and Cross Attentions

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing

TNT-KID: Transformer-based neural tagger for keyword identification

RaKUn: Rank-based Keyword extraction via Unsupervised learning and Meta vertex aggregation

Statistical Language and Speech Processing

POINTER: Constrained Text Generation via Insertion-based Generative Pre-training

A Comparative Assessment of State-Of-The-Art Methods for Multilingual Unsupervised Keyphrase Extraction

IFIP advances in information and communication technology

Discovering and Mitigating Visual Biases through Keyword Explanation

Offensive keyword extraction based on the attention mechanism of BERT and the eigenvector centrality using a graph representation


Climate Simulation Operations


JA3 is a standard for creating SSL client fingerprints in an easy to produce and shareable way.

Collection of datasets with DNS over HTTPS traffic

Accurate TLS Fingerprinting using Destination Context and Knowledge Bases

SiamHAN: IPv6 Address Correlation Attacks on TLS Encrypted Traffic via Siamese Heterogeneous Graph Attention Network

Unsupervised Detection and Clustering of Malicious TLS Flows

Challenges in Adapting ECH in TLS for Privacy Enhancement over the Internet

Honeypot Implementation in a Cloud Environment


QUICsand: Quantifying QUIC Reconnaissance Scans and DoS Flooding Events

PROCEEDINGS OF THE 2021 ACM INTERNET MEASUREMENT CONFERENCE, IMC 2021

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

On the interplay between TLS certificates and QUIC performance

Proceedings of the 18th International Conference on emerging Networking EXperiments and Technologies

QUIC Hunter: Finding QUIC Deployments and Identifying Server Libraries Across the Internet

ECN with QUIC: Challenges in the Wild

Proceedings of the 2023 ACM on Internet Measurement Conference


set of tools for continuum fitting, correlation function calculation, cosmological fits...

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

Baryon acoustic oscillations from the complete SDSS-III Lyα-quasar cross-correlation function at z=2.4

Baryon acoustic oscillations from the cross-correlation of Lyα absorption and quasars in eBOSS DR14

HAL (Le Centre pour la Communication Scientifique Directe)

Baryon acoustic oscillations at z=2.34 from the correlations of Lyα absorption in eBOSS DR14

Baryon Acoustic Oscillations and the Hubble constant: past, present and future

Journal of Cosmology and Astroparticle Physics

The one-dimensional power spectrum from the SDSS DR14 Lyα forests

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

Dark matter component decaying after recombination: Sensitivity to baryon acoustic oscillation and redshift space distortion probes

LYACOLORE: synthetic datasets for current and future Lyman-alpha forest BAO surveys

A tomographic map of the large-scale matter distribution using the eBOSS—Stripe 82 Lyα forest


Manipulation and analysis of geometric objects

The Open Global Glacier Model (OGGM) v1.1

A 30 m Resolution Surface Water Mask Including Estimation of Positional and Thematic Differences Using Landsat 8, SRTM and OpenStreetMap: A Case Study in the Murray-Darling Basin, Australia

A Cloud-Based Environment for Generating Yield Estimation Maps From Apple Orchards Using UAV Imagery and a Deep Learning Technique

COLREG-Compliant Collision Avoidance for Unmanned Surface Vehicle Using Deep Reinforcement Learning

Is Saki #delicious? The Food Perception Gap on Instagram and Its Relation to Health

DeepHyperion: Exploring the Feature Space of Deep Learning-Based Systems through Illumination Search

Diversifying databases of metal organic frameworks for high-throughput computational screening

High-resolution Slide-seqV2 spatial transcriptomics enables discovery of disease-specific cell neighborhoods and pathways

Future directions in human mobility science

Gerrymandering and Compactness: Implementation Flexibility and Abuse


Rocket Chip Generator

RISQ-V: Tightly Coupled RISC-V Accelerators for Post-Quantum Cryptography

IACR Transactions on Cryptographic Hardware and Embedded Systems

ISA Extensions for Finite Field Arithmetic

Zipper Stack: Shadow Stacks Without Shadow

X-HEEP: An Open-Source, Configurable and Extendible RISC-V Microcontroller for the Exploration of Ultra-Low-Power Edge Accelerators

Node Monitoring as a Fault Detection Countermeasure against Information Leakage within a RISC-V Microprocessor

Automatic Conversion from Flip-flop to 3-phase Latch-based Designs

NSF Integrated Circuit Research, Education and Workforce Development Workshop Final Report


project page for VinVL

VinVL: Revisiting Visual Representations in Vision-Language Models

GRIT: Faster and Better Image captioning Transformer Using Dual Visual Features

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

Improving Zero-shot Visual Question Answering via Large Language Models with Reasoning Question Prompts


MAIAN: automatic tool for finding trace vulnerabilities in Ethereum smart contracts

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

Zenodo (CERN European Organization for Nuclear Research)

Security Analysis Methods on Ethereum Smart Contract Vulnerabilities: A Survey

A Framework and DataSet for Bugs in Ethereum Smart Contracts

Smart Contract Vulnerability Detection Technique: A Survey

ESCORT: Ethereum Smart COntRacTs Vulnerability Detection using Deep Neural Network and Transfer Learning

An Analysis of Smart Contracts Security Threats Alongside Existing Solutions

Multi-Class classification of vulnerabilities in Smart Contracts using AWD-LSTM, with pre-trained encoder inspired from natural language processing

A Survey of Security Vulnerabilities in Ethereum Smart Contracts

SMACS: Smart Contract Access Control Service

Characterizing Transaction-Reverting Statements in Ethereum Smart Contracts


Strategies for Pre-training Graph Neural Networks

Graph Self-Supervised Learning: A Survey

Graph-based Molecular Representation Learning

Fine-Tuning Graph Neural Networks via Graph Topology induced Optimal Transport

Graph Self-supervised Learning with Accurate Discrepancy Learning

SGL-PT: A Strong Graph Learner with Graph Prompt Tuning

Structure-Enhanced Meta-Learning For Few-Shot Graph Classification

Accurate prediction of molecular targets using a self-supervised image representation learning framework

Where to Mask: Structure-Guided Masking for Graph Masked Autoencoders

PreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep
  Intellectual Property Protection


[ICCV-2021] TransReID: Transformer-based Object Re-Identification

Person Re-Identification

A Challenging Benchmark of Anime Style Recognition

V2ReID: Vision-Outlooker-Based Vehicle Re-Identification


MITObim - mitochondrial baiting and iterative mapping

Reconstructing mitochondrial genomes directly from genomic next-generation sequencing reads—a baiting and iterative mapping approach

A systematic comparison of chloroplast genome assembly tools

Museum Genomics Confirms that the Lord Howe Island Stick Insect Survived Extinction

Atp8 is in the ground pattern of flatworm mitochondrial genomes

Complete Chloroplast Genome Sequence of Malus hupehensis: Genome Structure, Comparative Analysis, and Phylogenetic Relationships

The Transcriptomes of Xiphinema index and Longidorus elongatus Suggest Independent Acquisition of Some Plant Parasitism Genes by Horizontal Gene Transfer in Early-Branching Nematodes

Complete mitochondrial genome of the super mealworm Zophobas atratus (Fab.) (Insecta: Coleoptera: Tenebrionidae)

Chloroplast Genome Variation and Evolutionary Analysis of Olea europaea L.

Widespread conservation of chromatin accessibility patterns and transcription factor binding in human and chimpanzee induced pluripotent stem cells

The Complete Mitogenomes of Three Grasshopper Species with Special Notes on the Phylogenetic Positions of Some Related Genera


2DPASS: 2D Priors Assisted Semantic Segmentation on LiDAR Point Clouds (ECCV 2022) :fire:

Robo3D: Towards Robust and Reliable 3D Perception against Corruptions

Let Images Give You More:Point Cloud Cross-Modal Training for Shape Analysis

FRNet: Frustum-Range Networks for Scalable LiDAR Segmentation

Benchmarking the Robustness of LiDAR Semantic Segmentation Models

LSK3DNet: Towards Effective and Efficient 3D Perception with Large
  Sparse Kernels

Calib3D: Calibrating Model Preferences for Reliable 3D Scene
  Understanding


An open source lane detection toolbox based on PyTorch, including SCNN, RESA, UFLD, LaneATT, CondLane, etc.

Spatial As Deep: Spatial CNN for Traffic Scene Understanding

Ultra Fast Structure-aware Deep Lane Detection

Keep your Eyes on the Lane: Real-time Attention-guided Lane Detection

CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution

RESA: Recurrent Feature-Shift Aggregator for Lane Detection

CLRNet: Cross Layer Refinement Network for Lane Detection


BGC Detection and Classification Using Deep Learning

A deep learning genome-mining strategy for biosynthetic gene cluster prediction

Genome Mining as an Alternative Way for Screening the Marine Organisms for Their Potential to Produce UV-Absorbing Mycosporine-like Amino Acid

Supporting supervised learning in fungal Biosynthetic Gene Cluster discovery: new benchmark datasets

IEEE International Conference on Bioinformatics and Biomedicine

Metagenomic nanopore sequencing for exploring the nature of antimicrobial metabolites of Bacillus haynesii


Qrisp - a framework for high-level programming of Quantum computers

Quantum Backtracking in Qrisp Applied to Sudoku Problems

Eclipse Qrisp QAOA: description and preliminary comparison with Qiskit
  counterparts


Interval data structure

GIGGLE: a search engine for large-scale integrated genome analysis

A distinct class of antioxidant response elements is consistently activated in tumors with NRF2 mutations

Nucleosomes effectively shield DNA from radiation damage in living cells

Genome-wide alterations of uracil distribution patterns in human DNA upon chemotherapeutic treatments

Scalable approaches for functional analyses of whole-genome sequencing non-coding variants

Interrogating cell type-specific cooperation of transcriptional regulators in 3D chromatin

Genome Informatics 2016


Compiles assumptions on energy system technologies (e.g. costs and efficiencies) for various years.

Speed of technological transformations required in Europe to achieve different climate goals

Endogenous learning for green hydrogen in a sector-coupled energy model for Europe

Cost and Efficiency Requirements for Successful Electricity Storage in a Highly Renewable European Energy System

Distributed photovoltaics provides key benefits for a highly renewable European energy system

The Value of Competing Energy Storage in Decarbonized Power Systems

Decarbonization of aviation via hydrogen propulsion: technology performance targets and energy system impacts


Climate downscaling using CMIP6 data

Downscaling and bias-correction contribute considerable uncertainty to local climate projections in CMIP6

Climate risks to carbon sequestration in US forests


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


A multi-thread crawler framework with many builtin image crawlers provided.

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

Automated dataset generation for image recognition using the example of taxonomy

Just Say the Name: Online Continual Learning with Category Names Only
  via Data Generation


This is the top-level project for the PULP Platform. It instantiates a PULP open-source system with a PULP SoC (microcontroller) domain accelerated by a PULP cluster with 8 cores.

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

Enabling mixed-precision quantized neural networks in extreme-edge devices

A Low-Power Transprecision Floating-Point Cluster for Efficient Near-Sensor Data Analytics


Architettura della conoscenza - Ontologie per la descrizione del patrimonio culturale

Pattern-based design applied to cultural heritage knowledge graphs

The Landscape of Ontology Reuse Approaches

OntoSeer -- A Recommendation System to Improve the Quality of Ontologies


Facilitating the design, comparison and sharing of deep text matching models.

Text Matching as Image Recognition

Response Ranking with Deep Matching Networks and External Knowledge in Information-seeking Conversation Systems

International ACM SIGIR Conference on Research and Development in Information Retrieval

A Hybrid Retrieval-Generation Neural Conversation Model

A study on the Interpretability of Neural Retrieval Models using DeepSHAP

PROCEEDINGS OF THE 42ND INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (SIGIR '19)

MatchZoo: A Toolkit for Deep Text Matching

Neural IR Meets Graph Embedding: A Ranking Model for Product Search

IART: Intent-aware Response Ranking with Transformers in Information-seeking Conversation Systems

Impact of Training Dataset Size on Neural Answer Selection Models

Multi-Perspective Relevance Matching with Hierarchical ConvNets for Social Media Search

Learning to Create Better Ads: Generation and Ranking Approaches for Ad Creative Refinement


Pipeline elements for 3x2pt analysis (shear-shear, shear-density, density-density) for DC2

A Unified Catalog-level Reanalysis of Stage-III Cosmic Shear Surveys

The LSST-DESC 3x2pt Tomography Optimization Challenge

Transitioning from Stage-III to Stage-IV: Cosmology from galaxy×CMB lensing and shear×CMB lensing

CLMM: a LSST-DESC cluster weak lensing mass modeling library for cosmology

The catalog-to-cosmology framework for weak lensing and galaxy clustering for LSST

Improved Tomographic Binning of 3 × 2 pt Lens Samples: Neural Network Classifiers and Optimal Bin Assignments


Implementation of Tightly Coupled 3D Lidar Inertial Odometry and Mapping (LIO-mapping)

International Conference on Robotics and Automation

LOCUS: A Multi-Sensor Lidar-Centric Solution for High-Precision Odometry and 3D Mapping in Real-Time

Autonomous Exploration Development Environment and the Planning Algorithms

PALoc: Advancing SLAM Benchmarking with Prior-Assisted 6-DoF Trajectory
  Generation and Uncertainty Estimation

Point wise or Feature wise? Benchmark Comparison of Public Available LiDAR Odometry Algorithms in Urban Canyons

Piecewise Linear De-skewing for LiDAR Inertial Odometry


My implementation of Few-Shot Adversarial Learning of Realistic Neural Talking Head Models (Egor Zakharov et al.).

Large Scale GAN Training for High Fidelity Natural Image Synthesis

Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization

MorphGAN: One-Shot Face Synthesis GAN for Detecting Recognition Bias


HyPhy standalone analyses

An Evolutionary Portrait of the Progenitor SARS-CoV-2 and Its Dominant Offshoots in COVID-19 Pandemic

bioRxiv : the preprint server for biology

A structural basis for antibody-mediated neutralization of Nipah virus reveals a site of vulnerability at the fusion glycoprotein apex

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

The effect of hybridization on transposable element accumulation in an undomesticated fungal species

Pervasive and non-random recombination in near full-length HIV genomes from Uganda

Genome Evolution in Bacteria Isolated from Million-Year-Old Subseafloor Sediment

The evolution of BDNF is defined by strict purifying selection and prodomain spatial coevolution, but what does it mean for human brain disease?

Natural selection differences detected in key protein domains between non-pathogenic and pathogenic feline coronavirus phenotypes

Genomic Signatures Associated with Transitions to Viviparity in Cyprinodontiformes

Phylogenomics of the psychoactive mushroom genus Psilocybe and evolution of the psilocybin biosynthetic gene cluster

The Evolution of Widespread Recombination Suppression on the Dwarf Hamster (Phodopus) X Chromosome


Long read based human genomic structural variation detection with cuteSV

Long-read-based human genomic structural variation detection with cuteSV

Long Read based Human Genomic Structural Variation Detection with cuteSV

Structural Variant Detection from Long-Read Sequencing Data with cuteSV.

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

Integrating Genetic Structural Variations and Whole-Genome Sequencing Into Clinical Neurology

Regenotyping structural variants through an accurate force-calling method

Mapping crossover events of mouse meiotic recombination by restriction fragment ligation-based Refresh-seq


Novelty-inclusive microbial community profiling of shotgun metagenomes

Thermogenic hydrocarbon biodegradation by diverse depth-stratified microbial populations at a Scotian Basin cold seep

Undinarchaeota illuminate DPANN phylogeny and the impact of gene transfer on archaeal evolution

Chemosynthetic and photosynthetic bacteria contribute differentially to primary production across a steep desert aridity gradient

Comparative genome-centric analysis reveals seasonal variation in the function of coral reef microbiomes

Spinal Cord Injury Changes the Structure and Functional Potential of Gut Bacterial and Viral Communities

Atmospheric chemosynthesis is phylogenetically and geographically widespread and contributes significantly to carbon fixation throughout cold deserts

Phylogenetically and functionally diverse microorganisms reside under the Ross Ice Shelf

Termite mounds contain soil-derived methanotroph communities kinetically adapted to elevated methane concentrations

mPies: a novel metaproteomics tool for the creation of relevant protein databases and automatized protein annotation

Fine-scale metabolic discontinuity in a stratified prokaryote microbiome of a Red Sea deep halocline


A transients-discovery pipeline for astronomical image-based surveys

The LOFAR Transients Pipeline

The ASKAP/EMU Source Finding Data Challenge

Publications of the Astronomical Society of Australia

The AARTFAAC All Sky Monitor: System Design and Implementation

The Arcminute Microkelvin Imager catalogue of gamma-ray burst afterglows at 15.7 GHz

Monthly Notices of the Royal Astronomical Society - A pilot ASKAP survey of radio transient events in the region around the intermittent pulsar PSR J1107 5907

PySE: Software for extracting sources from radio images

LOFAR early-time search for coherent radio emission from GRB 180706A

Monthly notices of the Royal Astronomical Society

Long-term study of extreme giant pulses from PSR B0950+08 with AARTFAAC

VaST: a variability search toolkit

KERN


PhyML -- Phylogenetic estimation using (Maximum) Likelihood

Refined analyses suggest that recombination is a minor source of genomic diversity in Pseudomonas aeruginosa chronic cystic fibrosis infections

A Darwinian Uncertainty Principle

Healthcare workers acquired COVID-19 disease from patients? An investigation by phylogenomics

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

Genome of the early spider-orchid Ophrys sphegodes provides insights into sexual deception and pollinator adaptation


QCD for Intel Xeon Phi and Xeon processors

Λ_b →Λ^*(1520)ℓ^+ℓ^- form factors from lattice
  QCD

Λ_c →Λ^*(1520) form factors from lattice QCD and improved analysis of the Λ_b →Λ^*(1520) and Λ_b →Λ_c^*(2595,2625) form factors

Λb→Λc*(2595,2625)ℓ−ν¯
 form factors from lattice QCD

Practical Implementation of Lattice QCD Simulation on SIMD Machines with Intel AVX-512

Charm-baryon semileptonic decays and the strange Λ^* resonances: New insights from lattice QCD

Twisted mass gauge ensembles at physical values of the light, strange and charm quark masses

Practical Implementation of Lattice QCD Simulation on Intel Xeon Phi Knights Landing

Twisted mass ensemble generation on GPU machines

Accelerating Twisted Mass LQCD with QPhiX

Optimizing shift selection in multilevel Monte Carlo for disconnected diagrams in lattice QCD


A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

Synthcity: facilitating innovative use cases of synthetic data in different data modalities

TabPFGen -- Tabular Data Generation with TabPFN

Auditing and Generating Synthetic Data with Controllable Trust Trade-offs

The Elusive Pursuit of Replicating PATE-GAN: Benchmarking, Auditing, Debugging

Quantifying and Mitigating Privacy Risks for Tabular Generative Models

Diverse Community Data for Benchmarking Data Privacy Algorithms

FairX: A comprehensive benchmarking tool for model analysis using
  fairness, utility, and explainability


Python package for information theory.

Measuring Multivariate Redundant Information with Pointwise Common Change in Surprisal

Multivariate Dependence Beyond Shannon Information

dit: a Python package for discrete information theory

Unique Information via Dependency Constraints

The Partial Entropy Decomposition: Decomposing multivariate entropy and mutual information via pointwise common surprisal

BROJA-2PID: A Robust Estimator for Bivariate Partial Information Decomposition

Computing the Unique Information

International Symposium on Information Theory

Inter-scale information flow as a surrogate for downward causation that maintains spiral waves

Chaos An Interdisciplinary Journal of Nonlinear Science

Contextual Modulation in Mammalian Neocortex is Asymmetric

The Value of Information When Deciding What to Learn


An Open-source Framework for Data-centric, Self-evolving Autonomous Language Agents

Agents: An Open-source Framework for Autonomous Language Agents

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

Symbolic Learning Enables Self-Evolving Agents


The Composer of ggplots

The Language of Social Touch Is Intuitive and Quantifiable

Evaluation of DNA Extraction Methods on Individual Helminth Egg and Larval Stages for Whole-Genome Sequencing

Size-resolved dynamics of indoor and outdoor fluorescent biological aerosol particles in a bedroom: A one-month case study in Singapore.

tidypaleo: Visualizing Paleoenvironmental Archives Using ggplot2

First Evidence That Nematode Communities in Deadwood Are Related to Tree Species Identity and to Co-Occurring Fungi and Prokaryotes

Do Data from Large Personal Networks Support Cultural Evolutionary Ideas about Kin and Fertility?

Assessing individual-level change in dementia research: a review of methodologies

Functional meta-omics provide critical insights into long- and short-read assemblies

Spatial profiling reveals association between WNT pathway activation and T-cell exclusion in acquired resistance of synovial sarcoma to NY-ESO-1 transgenic T-cell therapy

Single-cell transcriptomic analysis of the identity and function of fibro/adipogenic progenitors in healthy and dystrophic muscle


Convert ONNX models to PyTorch.

Evidence of Learned Look-Ahead in a Chess-Playing Neural Network

Fault Localization for Buggy Deep Learning Framework Conversions in Image Recognition

DeltaNN: Assessing the Impact of Computational Environment Parameters on the Performance of Image Recognition Models


A suite of tools for detecting expansions of short tandem repeats

ExpansionHunter Denovo: a computational method for locating known and novel repeat expansions in short-read sequencing data

Genome-wide tandem repeat expansions contribute to schizophrenia risk

High-depth whole-genome sequencing identifies structure variants, copy number variants and short tandem repeats associated with Parkinson’s disease


JRCLUST

Cortical pattern generation during dexterous movement is input-driven

A midbrain-thalamus-cortex circuit reorganizes cortical dynamics to initiate movement

Disrupting cortico-cerebellar communication impairs dexterity

Dynamics of the Cortico-Cerebellar Loop Fine-Tune Dexterous Movement

Separating cognitive and motor processes in the behaving mouse

Cell-type-specific plasticity shapes neocortical dynamics for motor learning


Dataset distribution for Seurat

Deep learning tackles single-cell analysis A survey of deep learning for scRNA-seq analysis

Human genetics uncovers MAP3K15 as an obesity-independent therapeutic target for diabetes

Cell type hierarchy reconstruction via reconciliation of multi-resolution cluster tree

Multi-modal quantification of pathway activity with MAYA

Is your data alignable? Principled and interpretable alignability testing and integration of single-cell data

FlexDotPlot: a universal and modular dot plot visualization tool for complex multifaceted data

Reconstruction Set Test (RESET): A computationally efficient method for single sample gene set testing based on randomized reduced rank reconstruction error

Single-cell Multi-view Clustering via Community Detection with Unknown Number of Clusters


ThinkHazard!


Synthesizer - a code for creating synthetic astrophysical observables

First Light And Reionisation Epoch Simulations (FLARES) XIV: The Balmer/4000~Å Breaks of Distant Galaxies


Quantum Gate Language (QGL) is a domain specific language embedded in python for specifying quantum gate sequences.

OpenQASM 3: A broader and deeper quantum assembly language

Bootstrapping quantum process tomography via a perturbative ansatz

Characterizing mid-circuit measurements on a superconducting qubit using gate set tomography


Aqualink.org Ocean Monitoring Application


Deep Learning and Reinforcement Learning Library for Scientists and Engineers

DeepSleepNet: A Model for Automatic Sleep Stage Scoring Based on Raw Single-Channel EEG

International Conference of the IEEE Engineering in Medicine and Biology Society

The History Began from AlexNet: A Comprehensive Survey on Deep Learning Approaches

TensorLayer: A Versatile Library for Efficient Deep Learning Development

Unsupervised Image-to-Image Translation with Generative Adversarial Networks

Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimization


ResearchKit is an open source software framework that makes it easy to create apps for medical research or for other research projects.

The mPower study, Parkinson disease mobile data collected using ResearchKit

The Mole Mapper Study, mobile phone skin imaging and melanoma risk data collected using ResearchKit

Using a ResearchKit Smartphone App to Collect Rheumatoid Arthritis Symptoms From Real-World Participants: Feasibility Study

The asthma mobile health study, smartphone data collected using ResearchKit

Speech Audiometry at Home: Automated Listening Tests via Smart Speakers With Normal-Hearing and Hearing-Impaired Listeners

Continuous Measurement of Reconnaissance Marines in Training With Custom Smartphone App and Watch: Observational Cohort Study

Exploring the weight bias of professionals working in the field of obesity with a mobile IAT: a pilot study

Therapeutic advances in endocrinology and metabolism


[CVPR 2021] Multi-Stage Progressive Image Restoration. SOTA results for Image deblurring, deraining, and denoising.

Restormer: Efficient Transformer for High-Resolution Image Restoration

Learning Enriched Features for Real Image Restoration and Enhancement

CycleISP: Real Image Restoration via Improved Data Synthesis

MPRNet: Multi-Path Residual Network for Lightweight Image Super Resolution

Parallel Diffusion Models of Operator and Image for Blind Inverse Problems

Not Just Streaks: Towards Ground Truth for Single Image Deraining

GibbsDDRM: A Partially Collapsed Gibbs Sampler for Solving Blind Inverse Problems with Denoising Diffusion Restoration

BAD-Gaussians: Bundle Adjusted Deblur Gaussian Splatting

An Analysis of Multi-stage Progressive Image Restoration Network (MPRNet)


[ECCV2020] A super-resolution dataset of paired LR-HR scene text images

Real-World Single Image Super-Resolution: A Brief Review

Scene Text Image Super-Resolution in the Wild

Reading and Writing: Discriminative and Generative Modeling for Self-Supervised Text Recognition


Open source person re-identification library in python

Bag of Tricks and A Strong Baseline for Deep Person Re-identification

Progressive Pose Attention Transfer for Person Image Generation

KeepAugment: A Simple Information-Preserving Data Augmentation Approach

Torchreid: A Library for Deep Learning Person Re-Identification in Pytorch

DeepSportradar-v1: Computer Vision Dataset for Sports Understanding with High Quality Annotations

Proceedings of the 5th International ACM Workshop on Multimedia Content Analysis in Sports

Progressive and Aligned Pose Attention Transfer for Person Image Generation

Progressive Transfer Learning

Taking A Closer Look at Synthesis: Fine-grained Attribute Analysis for Person Re-Identification

Progressive Transfer Learning for Person Re-identification

PROCEEDINGS OF THE TWENTY-EIGHTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE

Improved Hard Example Mining by Discovering Attribute-based Hard Person Identity


Official Pytorch Code for "Medical Transformer: Gated Axial-Attention for Medical Image Segmentation" - MICCAI 2021

UNeXt: MLP-based Rapid Medical Image Segmentation Network

Evaluating transformer-based semantic segmentation networks for pathological image segmentation

Masked Diffusion as Self-supervised Representation Learner

UCM-Net: A Lightweight and Efficient Solution for Skin Lesion Segmentation using MLP and CNN


The Places365-CNNs for Scene Classification

Piggyback: Adapting a Single Network to Multiple Tasks by Learning to Mask Weights

Building Instance Classification Using Street View Images

Isprs Journal of Photogrammetry and Remote Sensing

HybridNet: Classification and Reconstruction Cooperation for Semi-Supervised Learning

Transformation Consistency Regularization- A Semi-Supervised Paradigm for Image-to-Image Translation

Piggyback: Adding Multiple Tasks to a Single, Fixed Network by Learning to Mask

Benchmarking unsupervised near-duplicate image detection

Focus! Rating XAI Methods and Finding Biases

An audiovisual and contextual approach for categorical and continuous emotion recognition in-the-wild

Large Scale Organization and Inference of an Imagery Dataset for Public Safety

IEEE High Performance Extreme Computing Conference

Exploiting Vulnerabilities of Deep Neural Networks for Privacy Protection


An R package to flexible rearrange, reshape and aggregate data

Changes in Species Diversity Patterns and Spatial Heterogeneity during the Secondary Succession of Grassland Vegetation on the Loess Plateau, China

Whole genome and transcriptome maps of the entirely black native Korean chicken breed Yeonsan Ogye

Sasquatch: predicting the impact of regulatory SNPs on transcription factor binding from cell- and tissue-specific DNase footprints

Snapshots of human anatomy, locomotion, and behavior from Late Pleistocene footprints at Engare Sero, Tanzania

Genome-wide discovery, and computational and transcriptional characterization of an AIG gene family in the freshwater snail Biomphalaria glabrata, a vector for Schistosoma mansoni

RNA Sequencing (RNA-Seq) Reveals Extremely Low Levels of Reticulocyte-Derived Globin Gene Transcripts in Peripheral Blood From Horses (Equus caballus) and Cattle (Bos taurus)

An educator's perspective of the tidyverse

Development and Evaluation of a Commercial Direct-Fed Microbial (Zymospore®) on the Fecal Microbiome and Growth Performance of Broiler Chickens under Experimental Challenge Conditions

Animals : an open access journal from MDPI

A Novel Primer Mixture for GH48 Genes: Quantification and Identification of Truly Cellulolytic Bacteria in Biogas Fermenters

Genetic links between ovarian ageing, cancer risk and de novo mutation rates


PyAutoFit: Classy Probabilistic Programming

Expectation propagation as a way of life: A framework for Bayesian inference on partitioned data

PyAutoLens: Open-Source Strong Gravitational Lensing

Automated galaxy-galaxy strong lens modelling: no lens left behind

Systematic Errors Induced by the Elliptical Power-law model in Galaxy–Galaxy Strong Lens Modeling

PyAutoFit: A Classy Probabilistic Programming Language for Model Composition and Fitting

Testing strong lensing subhalo detection with a cosmological simulation

Scanning For Dark Matter Subhalos in Hubble Space Telescope Imaging of 54 Strong Lenses

PyAutoGalaxy: Open-Source Multiwavelength Galaxy Structure & Morphology

Zenodo (CERN European Organization for Nuclear Research)


The Arcade Learning Environment (ALE) -- a platform for AI research.

The Arcade Learning Environment: An Evaluation Platform for General Agents

PROCEEDINGS OF THE TWENTY-FOURTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE (IJCAI)

Unmasking Clever Hans predictors and assessing what machines really learn

Revisiting the Arcade Learning Environment: Evaluation Protocols and Open Problems for General Agents

A Benchmark Environment Motivated by Industrial Control Problems

IEEE Symposium Series on Computational Intelligence

Reuse of Neural Modules for General Video Game Playing

Temporal Difference Uncertainties as a Signal for Exploration

Atari-5: Distilling the Arcade Learning Environment down to Five Games

Towards AGI in Computer Vision: Lessons Learned from GPT and Large Language Models

Improving Experience Replay through Modeling of Similar Transitions' Sets

Criticality and Safety Margins for Reinforcement Learning


Source code for "Progressive Transformers for End-to-End Sign Language Production" (ECCV 2020)

SignDiff: Diffusion Models for American Sign Language Production


A user friendly tools using Monte Carlo simulations for estimation of Curie temperature

Giant valley splitting in a MoTe2/MnSe2 van der Waals heterostructure with room-temperature ferromagnetism

Achieving High-Temperature Ferromagnetism by Means of Magnetic Ion Dimerization in the Graphene-like Mn2N6C6 Monolayer

Atomic Intercalation Induced Spin-Flip Transition in Bilayer CrI3

Tetragonal Mexican-Hat Dispersion and Switchable Half-Metal State with Multiple Anisotropic Weyl Fermions in Penta-Graphene


ResNet model in TensorFlow

Deep Residual Learning for Image Recognition

Deep Networks with Stochastic Depth

Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex

Towards Realistic Individual Recourse and Actionable Explanations in Black-Box Decision Making Systems

Automating Morphological Profiling with Generic Deep Convolutional Networks

Ludwig: a type-based declarative deep learning toolbox

A multicenter study on two-stage transfer learning model for duct-dependent CHDs screening in fetal echocardiography


TorchCV: a PyTorch vision library mimics ChainerCV

Transferable Adversarial Attacks for Image and Video Object Detection

Multidomain Document Layout Understanding using Few Shot Object Detection

Leveraging Outdoor Webcams for Local Descriptor Learning

Improving the HardNet Descriptor


Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.

Are we really making much progress? Revisiting, benchmarking, and refining heterogeneous graph neural networks

Homophily-oriented Heterogeneous Graph Rewiring

Long-range Meta-path Search on Large-scale Heterogeneous Graphs

Seq-HGNN: Learning Sequential Node Representation on Heterogeneous Graph

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

Efficient Heterogeneous Graph Learning via Random Projection

Spectral Heterogeneous Graph Convolutions via Positive Noncommutative Polynomials


A KBQA system based on DBpedia.

A Universal Question-Answering Platform for Knowledge Graphs

NAMER: A Node-Based Multitasking Framework for Multi-Hop Knowledge Base Question Answering

North American Chapter of the Association for Computational Linguistics

Few-shot Multi-hop Question Answering over Knowledge Base


Dense Prediction Transformers

Vision Transformers for Dense Prediction

Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning

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

PERF: Panoramic Neural Radiance Field from a Single Panorama

Dense Prediction Transformer for Scale Estimation in Monocular Visual Odometry

Stochastic Coherence Over Attention Trajectory For Continuous Learning In Video Streams

UP-NeRF: Unconstrained Pose-Prior-Free Neural Radiance Fields


Python bindings around Google Chromium's embedded compact language detection library (CLD2)

OpusTools and Parallel Corpus Diagnostics

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

European Language Resource Coordination: Collecting Language Resources for Public Sector Multilingual Information Management

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

Softmax Bottleneck Makes Language Models Unable to Represent Multi-mode Word Distributions

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

NRC Parallel Corpus Filtering System for WMT 2019

Proceedings of the Fourth Conference on Machine Translation (Volume 3: Shared Task Papers, Day 2)

Tweeting your Destiny: Profiling Users in the Twitter Landscape around an Online Game

Democratizing Neural Machine Translation with OPUS-MT

Measuring sentence parallelism using Mahalanobis distances: The NRC unsupervised submissions to the WMT18 Parallel Corpus Filtering shared task

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

The University of Helsinki Submission to the WMT19 Parallel Corpus Filtering Task

The University of Helsinki submissions to the WMT19 news translation task

Domain Terminology Integration into Machine Translation: Leveraging Large Language Models


Tensorflow implementation of Human-Level Control through Deep Reinforcement Learning

Deep Reinforcement Learning: An Overview

Safe Reinforcement Learning via Shielding

Beating Atari with Natural Language Guided Reinforcement Learning

Resetting the Optimizer in Deep RL: An Empirical Study

Multi-Objective Deep Q-Learning with Subsumption Architecture


The official home of climt, a Python based climate modelling toolkit.

sympl (v. 0.4.0) and climt (v. 0.15.3) – towards a flexible framework for building model hierarchies in Python

Effects of Ozone Levels on Climate Through Earth History


A Recurrent Mutation in Anaplastic Lymphoma Kinase with Distinct Neoepitope Conformations

Computational cancer neoantigen prediction: current status and recent advances

ProTECT—Prediction of T-Cell Epitopes for Cancer Therapy


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


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

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

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

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

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

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

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


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

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

Distributed Heterogeneous N-Variant Execution

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

Analyzing Control Flow Integrity with LLVM-CFI

Asia-Pacific Computer Systems Architecture Conference

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

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

MultiK: A Framework for Orchestrating Multiple Specialized Kernels

ROPNN: Detection of ROP Payloads Using Deep Neural Networks

Breaking and Fixing Destructive Code Read Defenses

Survey of Methods for Automated Code-Reuse Exploit Generation

Труды Института системного программирования РАН

Using Name Confusion to Enhance Security


Mobile manipulation research tools for roboticists

HomeRobot: Open-Vocabulary Mobile Manipulation

Navigating to Objects Specified by Images

Spatial-Language Attention Policies for Efficient Robot Learning

Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge


Firmware Analysis Tool

Leveraging Operational Technology and the Internet of Things to Attack Smart Buildings

Vulnerabilities in IoT Devices for Smart Home Environment

PROCEEDINGS OF THE 5TH INTERNATIONAL CONFERENCE ON INFORMATION SYSTEMS SECURITY AND PRIVACY (ICISSP)

Code Injection Attacks in Wireless-Based Internet of Things (IoT): A Comprehensive Review and Practical Implementations

FIRM-COV: High-Coverage Greybox Fuzzing for IoT Firmware via Optimized Process Emulation

FirmHunter: State-Aware and Introspection-Driven Grey-Box Fuzzing towards IoT Firmware

A Study on the Digital Forensic Investigation Method of Clever Malware in IoT Devices

Beyond the Hype: A Real-World Evaluation of the Impact and Cost of Machine Learning-Based Malware Detection

Towards Characterizing IoT Software Update Practices

ColdPress: An Extensible Malware Analysis Platform for Threat Intelligence

HEBCS: A High-Efficiency Binary Code Search Method


PyTorch Re-Implementation of EAST: An Efficient and Accurate Scene Text Detector

Revisiting Scene Text Recognition: A Data Perspective

Vision-Language Pre-Training for Boosting Scene Text Detectors

UNITS: Unsupervised Intermediate Training Stage for Scene Text Detection


A pure pytorch implemented ocr project including text detection and recognition

An End-to-End Trainable Neural Network for Image-Based Sequence Recognition and Its Application to Scene Text Recognition

Detecting Text in Natural Image with Connectionist Text Proposal Network

MenuAI: Restaurant Food Recommendation System via a Transformer-based Deep Learning Model