kaldi-asr/kaldi is the official location of the Kaldi project.

AISHELL-1: An Open-Source Mandarin Speech Corpus and A Speech Recognition Baseline

SpeechBrain: A General-Purpose Speech Toolkit

The fifth 'CHiME' Speech Separation and Recognition Challenge: Dataset, task and baselines

CommanderSong: A Systematic Approach for Practical Adversarial Voice Recognition

ASVspoof 2019: A large-scale public database of synthesized, converted and replayed speech

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

CHiME-6 Challenge:Tackling Multispeaker Speech Recognition for Unsegmented Recordings

GigaSpeech: An Evolving, Multi-domain ASR Corpus with 10,000 Hours of Transcribed Audio

AISHELL-2: Transforming Mandarin ASR Research Into Industrial Scale

BUT System Description to VoxCeleb Speaker Recognition Challenge 2019


A very fast and expressive template engine.

GLM-130B: An Open Bilingual Pre-trained Model

Exploring various polygenic risk scores for skin cancer in the phenomes of the Michigan genomics initiative and the UK Biobank with a visual catalog: PRSWeb

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

SymForce: Symbolic Computation and Code Generation for Robotics

SciRIFF: A Resource to Enhance Language Model Instruction-Following over
  Scientific Literature

Combining machine learning with computational fluid dynamics using OpenFOAM and SmartSim

Visualizing Contributor Code Competency for PyPI Libraries: Preliminary Results

BioVisReport: A Markdown-based lightweight website builder for reproducible and interactive visualization of results from peer-reviewed publications

Computational and structural biotechnology journal


TLS/SSL and crypto library

How to factor 2048 bit RSA integers in 8 hours using 20 million noisy qubits

ASSURED: Architecture for Secure Software Update of Realistic Embedded Devices

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

Stateful Greybox Fuzzing

Binsec/Rel: Efficient Relational Symbolic Execution for Constant-Time at Binary-Level

An Empirical Study of Rule-Based and Learning-Based Approaches for Static Application Security Testing

Finding real bugs in big programs with incorrectness logic

Proceedings of the ACM on Programming Languages

Adversarial Symbolic Execution for Detecting Concurrency-Related Cache Timing Leaks

The Impact of a Major Security Event on an Open Source Project: The Case of OpenSSL

Symbolic Verification of Cache Side-channel Freedom

CANAL: A Cache Timing Analysis Framework via LLVM Transformation


Spring Security

A Manually-Curated Dataset of Fixes to Vulnerabilities of Open-Source Software

How well does LLM generate security tests?

Industrial Experience of Finding Cryptographic Vulnerabilities in Large-scale Codebases


An open platform for training, serving, and evaluating large language models. Release repo for Vicuna and Chatbot Arena.

Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena

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

mPLUG-Owl: Modularization Empowers Large Language Models with Multimodality

WizardLM: Empowering Large Language Models to Follow Complex Instructions

Instruction Tuning with GPT-4

Instruction Tuning for Large Language Models: A Survey

SEED-Bench: Benchmarking Multimodal LLMs with Generative Comprehension

PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts

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

Multimodal Foundation Models: From Specialists to General-Purpose Assistants


Creative Commons Attribution 4.0 International

Community-curated topic and collection pages on GitHub

Topic Recommendation for Software Repositories using Multi-label Classification Algorithms

HybridRec: A recommender system for tagging GitHub repositories

Center for Code Excellence Trends – Eine Plattform für Trends in Softwaretechnologien


Lightweight Java and Android library for integration with Ethereum clients

A Fog Computing-Based Architecture for Medical Records Management

Wireless Communications and Mobile Computing

A Blockchain-based Trust System for Decentralised Applications: When trustless needs trust

SaYoPillow: A Blockchain-Enabled, Privacy-Assured Framework for Stress Detection, Prediction and Control Considering Sleeping Habits in the IoMT

SmartExchange: Decentralised Trustless Cryptocurrency Exchange

Lecture notes in business information processing

Blockchain-Based Transaction Manager for Ontology Databases

Providing reliability and auditability to the IoT LwM2M protocol through Blockchain

Wood traceability system using blockchain and zero-knowledge proof

A Decentralized Solution for Epidemiological Surveillance in Campus Scenarios


Integrate cutting-edge LLM technology quickly and easily into your apps

HuggingGPT: Solving AI Tasks with ChatGPT and its Friends in Hugging Face

AutoGen: Enabling Next-Gen LLM Applications via Multi-Agent Conversation

TaskWeaver: A Code-First Agent Framework

Prompting Frameworks for Large Language Models: A Survey

Misusing Tools in Large Language Models With Visual Adversarial Examples

ParlayANN: Scalable and Deterministic Parallel Graph-Based Approximate Nearest Neighbor Search Algorithms

PromptBench: A Unified Library for Evaluation of Large Language Models

Static Code Analysis in the AI Era: An In-depth Exploration of the Concept, Function, and Potential of Intelligent Code Analysis Agents

Security of AI Agents


CNCF Security Technical Advisory Group -- secure access, policy control, privacy, auditing, explainability and more!

Do Software Security Practices Yield Fewer Vulnerabilities?

An Empirical Study on Using Large Language Models to Analyze Software Supply Chain Security Failures

An Industry Interview Study of Software Signing for Supply Chain
  Security

Application Layer Cyber Deception Without Developer Interaction


Apache Cassandra®

Probabilistically Bounded Staleness for Practical Partial Quorums

Hardening Cassandra Against Byzantine Failures

Do Missing Link Community Smell Affect Developers Productivity: An Empirical Study

AVUBDI: A Versatile Usable Big Data Infrastructure and Its Monitoring Approaches for Process Industry

Study on Resource Efficiency of Distributed Graph Processing

InK: In-Kernel Key-Value Storage with Persistent Memory


Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Attention Is All You Need

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Self-Attention with Relative Position Representations

When Does Label Smoothing Help?

Model-Based Reinforcement Learning for Atari

Generating Wikipedia by Summarizing Long Sequences

Universal Transformers

Population Based Training of Neural Networks

Achieving Human Parity on Automatic Chinese to English News Translation

Pay Less Attention with Lightweight and Dynamic Convolutions


A python interface for interacting with the Ethereum blockchain and ecosystem.

Foundational Oracle Patterns: Connecting Blockchain to the Off-Chain World

BGPcoin: Blockchain-Based Internet Number Resource Authority and BGP Security Solution

Shard Scheduler: object placement and migration in sharded account-based blockchains

Advancing Blockchain-based Federated Learning through Verifiable Off-chain Computations

EdgeToll: A Blockchain-based Toll Collection System for Public Sharing of Heterogeneous Edges

Forsage: Anatomy of a Smart-Contract Pyramid Scheme

zkay v0.2: Practical Data Privacy for Smart Contracts

Detecting DeFi Securities Violations from Token Smart Contract Code

Tides of Blockchain in IoT Cybersecurity

From Programming Bugs to Multimillion-Dollar Scams: An Analysis of Trapdoor Tokens on Decentralized Exchanges


Dump1090 is a simple Mode S decoder for RTLSDR devices

Nanosecond-level time synchronization of autonomous radio detector stations for extensive air showers

Estimation of aircraft distances using transponder signal strength information

Original and Low-Cost ADS-B System to Fulfill Air Traffic Safety Obligations during High Power LIDAR Operation

The AeroSonicDB (YPAD-0523) Dataset for Acoustic Detection and Classification of Aircraft


Pytorch implementation of F3Net (ECCV 2020 F3Net: Frequency in Face Forgery Network)

FaceForensics++: Learning to Detect Manipulated Facial Images

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

AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark


Deep Ordinal Regression Network for Monocular Depth Estimation

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

Deep Multi-view Depth Estimation with Predicted Uncertainty


PyTorch package for the discrete VAE used for DALL·E.

Zero-Shot Text-to-Image Generation

BEiT: BERT Pre-Training of Image Transformers

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

Vector-quantized Image Modeling with Improved VQGAN

Corrupted Image Modeling for Self-Supervised Visual Pre-Training

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

StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model

ImaginE: An Imagination-Based Automatic Evaluation Metric for Natural Language Generation

Rejecting Cognitivism: Computational Phenomenology for Deep Learning

Image and Video Tokenization with Binary Spherical Quantization


QTL analysis software for high-dimensional data and complex cross designs

R/qtl2: Software for Mapping Quantitative Trait Loci with High-Dimensional Data and Multiparent Populations

Cleaning Genotype Data from Diversity Outbred Mice

QTLViewer: an interactive webtool for genetic analysis in the Collaborative Cross and Diversity Outbred mouse populations

A generic hidden Markov model for multiparent populations


A simple way to calibrate your neural network.

On Calibration of Modern Neural Networks

Non-Parametric Outlier Synthesis

Overinterpretation reveals image classification model pathologies

Evaluating the Calibration of Knowledge Graph Embeddings for Trustworthy Link Prediction

What Makes Graph Neural Networks Miscalibrated?

Clumpiness: time-domain classification of red giant evolutionary states

Monthly notices of the Royal Astronomical Society

Unifying Model Explainability and Robustness via Machine-Checkable Concepts

Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks

Adaptive Calibrator Ensemble for Model Calibration under Distribution Shift

On Evaluating Explanation Utility for Human-AI Decision Making in NLP


Fast, modular reference implementation and easy training of Semantic Segmentation algorithms in PyTorch.

BiSeNet: Bilateral Segmentation Network for Real-time Semantic Segmentation

Learning a Discriminative Feature Network for Semantic Segmentation

Multi-Task Pruning for Semantic Segmentation Networks

MTP: Multi-Task Pruning for Efficient Semantic Segmentation Networks

IEEE International Conference on Multimedia and Expo


Genome Improvement and Core Gene Set Refinement of Fugacium kawagutii

The spinach YY genome reveals sex chromosome evolution, domestication, and introgression history of the species

Genomic Insights into Genetic Diploidization in the Homosporous Fern Adiantum nelumboides

The genome of a hadal sea cucumber reveals novel adaptive strategies to deep-sea environments

A near-complete genome assembly of the allotetrapolyploid Cenchrus fungigraminus (JUJUNCAO) provides insights into its evolution and C4 photosynthesis

Chromosomal-level genome assembly of the orchid tree Bauhinia variegata (Leguminosae; Cercidoideae) supports the allotetraploid origin hypothesis of Bauhinia

DNA research : an international journal for rapid publication of reports on genes and genomes

Comparative and population genomics of buckwheat species reveal key determinants of flavor and fertility

Chromosome-level genome assembly of watershield (Brasenia schreberi)

Chromosomal-level genome assembly of Melastoma candidum provides insights into trichome evolution

Genome sequencing revealed the red-flower trait candidate gene of a peach landrace


ArcFace: Additive Angular Margin Loss for Deep Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence

Mitigating dataset harms requires stewardship: Lessons from 1000 papers

Deep Rival Penalized Competitive Learning for Low-resolution Face Recognition

3D-FM GAN: Towards 3D-Controllable Face Manipulation

DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification

Livestock Identification Using Deep Learning for Traceability

FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields

Synthetic Data for the Mitigation of Demographic Biases in Face Recognition

Text2Control3D: Controllable 3D Avatar Generation in Neural Radiance Fields using Geometry-Guided Text-to-Image Diffusion Model

Face representation by deep learning: a linear encoding in a parameter space?


Implementation of PoseNet

PoseNet: A Convolutional Network for Real-Time 6-DOF Camera Relocalization

Modelling Uncertainty in Deep Learning for Camera Relocalization

Introduction to Camera Pose Estimation with Deep Learning

RPNet: an End-to-End Network for Relative Camera Pose Estimation


A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

Teaching Machines to Read and Comprehend

Convolutional Sequence to Sequence Learning

Reading Wikipedia to Answer Open-Domain Questions

Personalizing Dialogue Agents: I have a dog, do you have pets too?

Deep Reinforcement Learning: An Overview

DailyDialog: A Manually Labelled Multi-turn Dialogue Dataset

Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks

Key-Value Memory Networks for Directly Reading Documents

The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems

Recipes for building an open-domain chatbot


Code for Defending Against Neural Fake News, https://rowanzellers.com/grover/

Defending Against Neural Fake News

MAUVE: Measuring the Gap Between Neural Text and Human Text using Divergence Frontiers

Automatic Detection of Machine Generated Text: A Critical Survey

Fake news detection based on news content and social contexts: a transformer-based approach

International Journal of Data Science and Analytics

Authorship Attribution for Neural Text Generation

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

Counterfactual Memorization in Neural Language Models

TURINGBENCH: A Benchmark Environment for Turing Test in the Age of Neural Text Generation

Pre-training Methods in Information Retrieval

Limitations of Autoregressive Models and Their Alternatives

Deepfake Text Detection: Limitations and Opportunities


PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Denoising Diffusion Probabilistic Models

Generative Modeling by Estimating Gradients of the Data Distribution

Elucidating the Design Space of Diffusion-Based Generative Models

Improved Techniques for Training Score-Based Generative Models

Score-based Generative Modeling in Latent Space

Score-Based Generative Modeling with Critically-Damped Langevin Diffusion

Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models

High-Frequency Space Diffusion Models for Accelerated MRI

Maximum Likelihood Training of Implicit Nonlinear Diffusion Models


Virus Identification By iteRative ANnoTation

VIBRANT: automated recovery, annotation and curation of microbial viruses, and evaluation of viral community function from genomic sequences

VIBRANT: Automated recovery, annotation and curation of microbial viruses, and evaluation of virome function from genomic sequences

Extended Evaluation of Viral Diversity in Lake Baikal through Metagenomics

Unveiling Ecological and Genetic Novelty within Lytic and Lysogenic Viral Communities of Hot Spring Phototrophic Microbial Mats

Current trends in RNA virus detection through metatranscriptome sequencing data

Implications of oral streptococcal bacteriophages in autism spectrum disorder


Code for the ICML 2021 (long talk) paper: "ViLT: Vision-and-Language Transformer Without Convolution or Region Supervision"

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

MixGen: A New Multi-Modal Data Augmentation

A Joint Study of Phrase Grounding and Task Performance in Vision and Language Models


Official PyTorch implementation of U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation

Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation

Are you wearing a mask? Improving mask detection from speech using augmentation by cycle-consistent GANs

Exploring Semantic Consistency in Unpaired Image Translation to Generate Data for Surgical Applications


BiMPM: Bilateral Multi-Perspective Matching for Natural Language Sentences

A multi-cascaded model with data augmentation for enhanced paraphrase detection in short texts

Robustness to Modification with Shared Words in Paraphrase Identification

Data Labeling for Machine Learning Engineers: Project-Based Curriculum and Data-Centric Competitions

Proceedings of the AAAI Conference on Artificial Intelligence


Pruning and other network surgery for trained Keras models.

Network Trimming: A Data-Driven Neuron Pruning Approach towards Efficient Deep Architectures

Real-time semantic segmentation on FPGAs for autonomous vehicles with hls4ml

Comprehensive Online Network Pruning via Learnable Scaling Factors


A Robust LiDAR-Inertial Odometry for Livox LiDAR

Multi-Modal Lidar Dataset for Benchmarking General-Purpose Localization and Mapping Algorithms

Rail Vehicle Localization and Mapping With LiDAR-Vision-Inertial-GNSS Fusion

Simultaneous Localization of Rail Vehicles and Mapping of Environment With Multiple LiDARs

Semi-Elastic LiDAR-Inertial Odometry

RailLoMer: Rail Vehicle Localization and Mapping with LiDAR-IMU-Odometer-GNSS Data Fusion


PyTorch Implementation of DARTS: Differentiable Architecture Search

NAS evaluation is frustratingly hard

Meta-Learning of Neural Architectures for Few-Shot Learning

Deeper Insights into Weight Sharing in Neural Architecture Search


Non-local Neural Networks for Video Classification

Non-local Neural Networks

Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convolution

Compact Generalized Non-local Network

A Multigrid Method for Efficiently Training Video Models

Budgeted Training: Rethinking Deep Neural Network Training Under Resource Constraints


CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition

CR-FIQA: Face Image Quality Assessment by Learning Sample Relative Classifiability

Feature Fusion Methods for Indexing and Retrieval of Biometric Data: Application to Face Recognition with Privacy Protection

FaceQAN: Face Image Quality Assessment Through Adversarial Noise Exploration

DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic Models

Stating Comparison Score Uncertainty and Verification Decision Confidence Towards Transparent Face Recognition


A comprehensive benchmark of deepfake detection

UCF: Uncovering Common Features for Generalizable Deepfake Detection

DeepfakeBench: A Comprehensive Benchmark of Deepfake Detection

Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection

DeepFake-O-Meter v2.0: An Open Platform for DeepFake Detection

AI-Face: A Million-Scale Demographically Annotated AI-Generated Face Dataset and Fairness Benchmark


Convert PDF to markdown quickly with high accuracy

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

An Aggregated Multicolumn Dilated Convolution Network for Perspective-Free Counting

MAP-Neo: Highly Capable and Transparent Bilingual Large Language Model Series

Peer Review as A Multi-Turn and Long-Context Dialogue with Role-Based
  Interactions

From Text to Insight: Large Language Models for Materials Science Data Extraction

LOCR: Location-Guided Transformer for Optical Character Recognition

Fine-tuning large language models for domain adaptation: Exploration of
  training strategies, scaling, model merging and synergistic capabilities


ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding

ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding

X-InstructBLIP: A Framework for aligning X-Modal instruction-aware representations to LLMs and Emergent Cross-modal Reasoning

Multi-task 3D building understanding with multi-modal pretraining


Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

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

Enhanced Deep Residual Networks for Single Image Super-Resolution

Weight Normalization: A Simple Reparameterization to Accelerate Training of Deep Neural Networks

Wide Activation for Efficient and Accurate Image Super-Resolution

Deep radio-interferometric imaging with POLISH: DSA-2000 and weak lensing

Super-Resolution of Thermal Images Using an Automatic Total Variation Based Method

A new public Alsat-2B dataset for single-image super-resolution

Evaluating Deep Neural Networks for Image Document Enhancement

On the inverse Potts functional for single-image super-resolution problems

AutoSR4EO: An AutoML Approach to Super-Resolution for Earth Observation Images


FewX is an open-source toolbox on top of Detectron2 for data-limited instance-level recognition tasks.

Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector

Commonality-Parsing Network across Shape and Appearance for Partially Supervised Instance Segmentation

Few-Shot Video Object Detection

Few-Shot Object Detection with Model Calibration

CD-FSOD: A Benchmark for Cross-domain Few-shot Object Detection


sentence embedding by Smooth Inverse Frequency weighting scheme

Word Rotator's Distance

Natural Language Processing markers in first episode psychosis and people at clinical high-risk

Context Mover's Distance & Barycenters: Optimal transport of contexts for building representations

Unsupervised Post-processing of Word Vectors via Conceptor Negation

Filtering Noisy Dialogue Corpora by Connectivity and Content Relatedness

Deep Contextualized Pairwise Semantic Similarity for Arabic Language Questions

Correcting the Common Discourse Bias in Linear Representation of Sentences using Conceptors

Incremental Domain Adaptation for Neural Machine Translation in Low-Resource Settings

Meeting of the Association for Computational Linguistics

Self-Discriminative Learning for Unsupervised Document Embedding

North American Chapter of the Association for Computational Linguistics

Gating Mechanisms for Combining Character and Word-level Word Representations: An Empirical Study


VOLO: Vision Outlooker for Visual Recognition

V2ReID: Vision-Outlooker-Based Vehicle Re-Identification

2nd Place Solution for VisDA 2021 Challenge -- Universally Domain Adaptive Image Recognition

Semantic Segmentation on VSPW Dataset through Aggregation of Transformer Models


[CVPR19] FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image

Multi-Object Portion Tracking in 4D Fluorescence Microscopy Imagery with Deep Feature Maps

Improving the Head Pose Variation Problem in Face Recognition for Mobile Robots

Learning Deep Conditional Target Densities for Accurate Regression

DirectMHP: Direct 2D Multi-Person Head Pose Estimation with Full-range Angles

Learning Proposals for Practical Energy-Based Regression


Pytorch implementation of DiffusionNet for fast and robust learning on 3D surfaces like meshes or point clouds.

DiffusionNet: Discretization Agnostic Learning on Surfaces

DPFM: Deep Partial Functional Maps

Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching

SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence

NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching

Understanding and Improving Features Learned in Deep Functional Maps

Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape
  Matching via Unsupervised Functional Map Regularized Reconstruction

AtomSurf : Surface Representation for Learning on Protein Structures

Generalizable Local Feature Pre-training for Deformable Shape Analysis


Simultaneous object detection and tracking using center points.

Tracking Objects as Points

TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers

Extraction of Positional Player Data from Broadcast Soccer Videos

Boosting Monocular 3D Object Detection With Object-Centric Auxiliary Depth Supervision

Where and What

Proceedings of the ACM on human-computer interaction


SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition

Text Recognition in the Wild: A Survey

Enhancing Indic Handwritten Text Recognition Using Global Semantic Information


V-Net: Fully Convolutional Neural Networks for Volumetric Medical Image Segmentation

Fully convolutional networks for automated segmentation of abdominal adipose tissue depots in multicenter water–fat MRI

An overview of deep learning in medical imaging

Recurrent Feature Propagation and Edge Skip-Connections for Automatic Abdominal Organ Segmentation

The use of deep learning in medical imaging to improve spine care: A scoping review of current literature and clinical applications

Sub-cortical structure segmentation database for young population


4C-ker: A Method to Reproducibly Identify Genome-Wide Interactions Captured by 4C-Seq Experiments

3D landscape of Hepatitis B virus interactions with human chromatins

Regulation of MYB by distal enhancer elements in human myeloid leukemia

Benchmarking of 4C-seq pipelines based on real and simulated data


Unified Structure Generation for Universal Information Extraction

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

Large Language Model Is Not a Good Few-shot Information Extractor, but a Good Reranker for Hard Samples!

A Survey on Arabic Named Entity Recognition: Past, Recent Advances, and Future Trends

ChatLog: Carefully Evaluating the Evolution of ChatGPT Across Time

Few-shot Event Detection: An Empirical Study and a Unified View

ChatUIE: Exploring Chat-based Unified Information Extraction using Large
  Language Models


ICRA 2019 "FastDepth: Fast Monocular Depth Estimation on Embedded Systems"

NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Applications

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey


Generative Adversarial Text-to-Image Synthesis

Generative Adversarial Text to Image Synthesis

Generating Multiple Objects at Spatially Distinct Locations

ChatPainter: Improving Text to Image Generation using Dialogue

Adversarial Learning of Semantic Relevance in Text to Image Synthesis

Correct block-design experiments mitigate temporal correlation bias in EEG classification


StyleGAN Encoder - converts real images to latent space

Very Deep Convolutional Networks for Large-Scale Image Recognition

Rethinking the Inception Architecture for Computer Vision

The Unreasonable Effectiveness of Deep Features as a Perceptual Metric

FakeSpotter: A Simple yet Robust Baseline for Spotting AI-Synthesized Fake Faces

StyleGAN2 Distillation for Feed-forward Image Manipulation

High Resolution Face Age Editing

Disentangled Inference for GANs with Latently Invertible Autoencoder

3D-FM GAN: Towards 3D-Controllable Face Manipulation

ReGenMorph: Visibly Realistic GAN Generated Face Morphing Attacks by Attack Re-generation

Selective Microwave Zeroth-Order Resonator Sensor Aided by Machine Learning


CoLight: Learning Network-level Cooperation for Traffic Signal Control

PROCEEDINGS OF THE 28TH ACM INTERNATIONAL CONFERENCE ON INFORMATION & KNOWLEDGE MANAGEMENT (CIKM '19)

STMARL: A Spatio-Temporal Multi-Agent Reinforcement Learning Approach for Cooperative Traffic Light Control

MetaVIM: Meta Variationally Intrinsic Motivated Reinforcement Learning for Decentralized Traffic Signal Control

Independent Reinforcement Learning for Weakly Cooperative Multiagent Traffic Control Problem

TinyLight: Adaptive Traffic Signal Control on Devices with Extremely Limited Resources

Large-Scale Traffic Signal Control Using Constrained Network Partition and Adaptive Deep Reinforcement Learning


Apache Log4j 2 is a versatile, feature-rich, efficient logging API and backend for Java.

The Race to the Vulnerable: Measuring the Log4j Shell Incident

BugPre: an intelligent software version-to-version bug prediction system using graph convolutional neural networks

Automating Source Code Refactoring in the Classroom

CodeFuse-Query: A Data-Centric Static Code Analysis System for Large-Scale Organizations


Suspicious DGA from PDNS and Sandbox.

UMUDGA: A dataset for profiling algorithmically generated domain names in botnet detection

Intercepting Hail Hydra: Real-time detection of Algorithmically Generated Domains

Journal of Network and Computer Applications


The genome polishing tool POLCA makes fast and accurate corrections in genome assemblies

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

HASLR: Fast Hybrid Assembly of Long Reads

The SAMBA tool uses long reads to improve the contiguity of genome assemblies

Comparison of De Novo Assembly Strategies for Bacterial Genomes

International journal of molecular sciences

Essential interpretations of bioinformatics in COVID-19 pandemic

First draft genome assembly of the Argane tree (Argania spinosa)

Improved Assembly of Metagenome-Assembled Genomes and Viruses in Tibetan Saline Lake Sediment by HiFi Metagenomic Sequencing

Pumping iron: A multi-omics analysis of two extremophilic algae reveals iron economy management

Bifidobacterium longum subsp. longum BG-L47 boosts growth and activity of Limosilactobacillus reuteri DSM 17938 and its extracellular membrane vesicles


Statistical methods for forest genetic resources analysts

Accuracy and responses of genomic selection on key traits in apple breeding

Gene expression predictions and networks in natural populations supports the omnigenic theory

Genomic Studies Reveal Substantial Dominant Effects and Improved Genomic Predictions in an Open-Pollinated Breeding Population of Eucalyptus pellita

SNP Genotyping with Target Amplicon Sequencing Using a Multiplexed Primer Panel and Its Application to Genomic Prediction in Japanese Cedar, Cryptomeria japonica (L.f.) D.Don

Seed Sourcing Strategies Considering Climate Change Forecasts: A Practical Test in Scots Pine

Genome-wide association analysis for drought tolerance and associated traits in faba bean (Vicia faba L.)

Integrating genomic information and productivity and climate-adaptability traits into a regional white spruce breeding program

Genomic studies with preselected markers reveal dominance effects influencing growth traits in Eucalyptus nitens

Hybrid larch heterosis: for which traits and under which genetic control?

Genome-wide genotyping data renew knowledge on genetic diversity of a worldwide alfalfa collection and give insights on genetic control of phenology traits


Use commands in English to control Blender with OpenAI's GPT-4

SceneCraft: An LLM Agent for Synthesizing 3D Scene as Blender Code

L3GO: Language Agents with Chain-of-3D-Thoughts for Generating
  Unconventional Objects

How Far Are We From AGI

BlenderAlchemy: Editing 3D Graphics with Vision-Language Models


markov clustering in python

manta: a Clustering Algorithm for Weighted Ecological Networks

Sex-Specific Neural Networks of Cued Threat Conditioning: A Pilot Study

Newfound Coding Potential of Transcripts Unveils Missing Members of Human Protein Communities

基因组蛋白质组与生物信息学报

VOLTA: adVanced mOLecular neTwork Analysis


Token level embeddings from BERT model on mxnet and gluonnlp

BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Transfer Learning for Named Entity Recognition in Financial and Biomedical Documents

BRUMS at SemEval-2020 Task 3: Contextualised Embeddings for Predicting the (Graded) Effect of Context in Word Similarity

Event-Related Bias Removal for Real-time Disaster Events

Exploring Multilingual Syntactic Sentence Representations

Multiverse: Multilingual Evidence for Fake News Detection


A method for circular DNA detection based on probabilistic mapping of ultrashort reads

Sensitive detection of circular DNAs at single-nucleotide resolution using guided realignment of partially aligned reads

Circle‐Seq reveals genomic and disease‐specific hallmarks in urinary cell‐free extrachromosomal circular DNAs

Replicative aging is associated with loss of genetic heterogeneity from extrachromosomal circular DNA in Saccharomyces cerevisiae

Biogenesis, Functions, Interactions, and Resources of Non-Coding RNAs in Plants

Innovative insights into extrachromosomal circular DNAs in gynecologic tumors and reproduction

EccDNA-oriented ITGB7 expression in breast cancer

Plasma extrachromosomal circular DNA is a pathophysiological hallmark of short-term intensive insulin therapy for type 2 diabetes


StyleGAN2-ADA - Official PyTorch implementation

Training Generative Adversarial Networks with Limited Data

Alias-Free Generative Adversarial Networks

StyleNeRF: A Style-based 3D-Aware Generator for High-resolution Image Synthesis

StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2

Projected GANs Converge Faster

The Role of ImageNet Classes in Fréchet Inception Distance

Instance-Conditioned GAN

Generative Models as a Data Source for Multiview Representation Learning

EpiGRAF: Rethinking training of 3D GANs

Improving Transferability of Adversarial Patches on Face Recognition with Generative Models


Compact Language Detector 2

Quality and quantity are not always positively correlated: A case study of Chinese economics journals

A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity

Jukebox: A Generative Model for Music

Automatic Language Identification in Texts: A Survey

Room to Glo: A Systematic Comparison of Semantic Change Detection Approaches with Word Embeddings

Empirical Methods in Natural Language Processing

The growing amplification of social media: measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009–2020

JParaCrawl: A Large Scale Web-Based English-Japanese Parallel Corpus

Collecting Resources in Sub-Saharan African Languages for Automatic Speech Recognition: a Case Study of Wolof

What's In My Big Data?

What's in a Domain? Learning Domain-Robust Text Representations using Adversarial Training


DRAGEN open-source mapper

The reference genome of the paradise fish (Macropodus opercularis)

bioRxiv : the preprint server for biology

Integrative miRNA-mRNA network analysis to identify crucial pathways of salinity adaptation in brain transcriptome of Labeo rohita


Official PyTorch implementation of ODISE: Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models [CVPR 2023 Highlight]

CLIPSelf: Vision Transformer Distills Itself for Open-Vocabulary Dense Prediction

LIME: Localized Image Editing via Attention Regularization in Diffusion Models


OpenLLaMA, a permissively licensed open source reproduction of Meta AI’s LLaMA 7B trained on the RedPajama dataset

How Far Can Camels Go? Exploring the State of Instruction Tuning on Open Resources

Focused Transformer: Contrastive Training for Context Scaling

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Large Language Models in Finance: A Survey

Temporal Data Meets LLM -- Explainable Financial Time Series Forecasting

LLM360: Towards Fully Transparent Open-Source LLMs

OpenMoE: An Early Effort on Open Mixture-of-Experts Language Models

OpenWebMath: An Open Dataset of High-Quality Mathematical Web Text

Privacy-Preserving In-Context Learning for Large Language Models

MM-Interleaved: Interleaved Image-Text Generative Modeling via Multi-modal Feature Synchronizer


Best practice for training LLaMA models in Megatron-LM

FlashAttention: Fast and Memory-Efficient Exact Attention with IO-Awareness

FLUX: Fast Software-based Communication Overlap On GPUs Through Kernel Fusion

Holmes: Towards Distributed Training Across Clusters with Heterogeneous NIC Environment


Calculate the ET-SCI climate extremes indices

How Credibly Do CMIP6 Simulations Capture Historical Mean and Extreme Precipitation Changes?

Increase of Simultaneous Soybean Failures Due To Climate Change

Annual summaries dataset of Heatwaves in Europe, as defined by the Excess Heat Factor

Spatiotemporal trends of hemorrhagic fever with renal syndrome (HFRS) in China under climate variation

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


code for EMNLP 2019 paper Text Summarization with Pretrained Encoders

TLDR: Extreme Summarization of Scientific Documents

Neural Extractive Summarization with Hierarchical Attentive Heterogeneous Graph Network

Globalizing BERT-based Transformer Architectures for Long Document Summarization

Conference of the European Chapter of the Association for Computational Linguistics

Automated Lay Language Summarization of Biomedical Scientific Reviews

Friendly Topic Assistant for Transformer Based Abstractive Summarization

Unsupervised Extractive Summarization by Pre-training Hierarchical Transformers

Domain Adaptation with Pre-trained Transformers for Query-Focused Abstractive Text Summarization

Pre-training for Abstractive Document Summarization by Reinstating Source Text

Adversarial Semantic Collisions


Efficient Training of Audio Transformers with Patchout

Efficient Large-scale Audio Tagging via Transformer-to-CNN Knowledge Distillation

AudioSR: Versatile Audio Super-resolution at Scale

Learning General Audio Representations with Large-Scale Training of Patchout Audio Transformers

Audio Embeddings as Teachers for Music Classification

An Independence-promoting Loss for Music Generation with Language Models


SEAL (learning from Subgraphs, Embeddings, and Attributes for Link prediction). "M. Zhang, Y. Chen, Link Prediction Based on Graph Neural Networks, NeurIPS 2018 spotlight".

Distance Encoding: Design Provably More Powerful Neural Networks for Graph Representation Learning

Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning

Equivariant and Stable Positional Encoding for More Powerful Graph Neural Networks

Distance Encoding -- Design Provably More Powerful GNNs for Structural Representation Learning

Hashing-Accelerated Graph Neural Networks for Link Prediction

Eigen-GNN: A Graph Structure Preserving Plug-in for GNNs

Link Prediction through Deep Generative Model

Assessment of community efforts to advance network-based prediction of protein–protein interactions

FL-AGCNS: Federated Learning Framework for Automatic Graph Convolutional Network Search


[ECCV 2024 Oral] LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation.

L4GM: Large 4D Gaussian Reconstruction Model

MicroDreamer: Efficient 3D Generation in ∼20 Seconds by Score-based Iterative Reconstruction


Attention based model for learning to solve different routing problems

Learning to Delegate for Large-scale Vehicle Routing

Learning Collaborative Policies to Solve NP-hard Routing Problems

Sym-NCO: Leveraging Symmetricity for Neural Combinatorial Optimization

Estimating Gradients for Discrete Random Variables by Sampling without Replacement

On Learning Paradigms for the Travelling Salesman Problem

Learning to Optimise General TSP Instances

DevFormer: A Symmetric Transformer for Context-Aware Device Placement

How to Evaluate Machine Learning Approaches for Combinatorial Optimization: Application to the Travelling Salesman Problem

Adaptive solution prediction for combinatorial optimization

Equity-Transformer: Solving NP-Hard Min-Max Routing Problems as Sequential Generation with Equity Context


Phrase-Based & Neural Unsupervised Machine Translation

Cross-lingual Language Model Pretraining

Generalized Data Augmentation for Low-Resource Translation

Boosting Neural Machine Translation with Similar Translations

Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework

Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine Translation

PidginUNMT: Unsupervised Neural Machine Translation from West African Pidgin to English

Unsupervised Neural Dialect Translation with Commonality and Diversity Modeling

Pre-training for Speech Translation: CTC Meets Optimal Transport

Phrase-based Unsupervised Machine Translation with Compositional Phrase Embeddings

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


GraalJS – A high-performance, ECMAScript compliant, and embeddable JavaScript runtime for Java

JEST: N+1-Version Differential Testing of Both JavaScript Engines and Specification

Unveiling the Invisible: Detection and Evaluation of Prototype Pollution Gadgets with Dynamic Taint Analysis

SecV: Secure Code Partitioning via Multi-Language Secure Values

Proceedings of the 24th International Middleware Conference on ZZZ


Amplicon sequence processing workflow using QIIME 2 and Snakemake

MAFFT Multiple Sequence Alignment Software Version 7: Improvements in Performance and Usability

DADA2: High-resolution sample inference from Illumina amplicon data

VSEARCH: a versatile open source tool for metagenomics

Optimizing taxonomic classification of marker-gene amplicon sequences with QIIME 2’s q2-feature-classifier plugin

UniFrac: an effective distance metric for microbial community comparison

Deblur Rapidly Resolves Single-Nucleotide Community Sequence Patterns

EMPeror: a tool for visualizing high-throughput microbial community data

Clustal Omega, Accurate Alignment of Very Large Numbers of Sequences

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

A Novel Sparse Compositional Technique Reveals Microbial Perturbations

OD-seq: outlier detection in multiple sequence alignments


A Collection of Variational Autoencoders (VAE) in PyTorch.

Categorical Reparameterization with Gumbel-Softmax

beta-VAE: Learning Basic Visual Concepts with a Constrained Variational Framework

International Conference on Learning Representations

Auto-Encoding Variational Bayes

Neural Discrete Representation Learning

Importance Weighted Autoencoders

Generating Images with Perceptual Similarity Metrics based on Deep Networks

Wasserstein Auto-Encoders

Understanding disentangling in β-VAE

InfoVAE: Information Maximizing Variational Autoencoders

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


An integrated pipeline for estimating strain-level genomic variation from metagenomic data

An integrated metagenomics pipeline for strain profiling reveals novel patterns of bacterial transmission and biogeography

Interplay of Staphylococcal and Host Proteases Promotes Skin Barrier Disruption in Netherton Syndrome

Dissecting the dominant hot spring microbial populations based on community-wide sampling at single-cell genomic resolution

Population genetic analyses of metagenomes reveal extensive strain-level variation in prevalent human-associated bacteria


Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

Normalizing Flows: An Introduction and Review of Current Methods

Do Deep Generative Models Know What They Don't Know?

On the Sentence Embeddings from Pre-trained Language Models

What makes fake images detectable? Understanding properties that generalize

Input complexity and out-of-distribution detection with likelihood-based generative models

Detecting Out-of-Distribution Inputs to Deep Generative Models Using Typicality

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Detecting Out-of-Distribution Inputs to Deep Generative Models Using a Test for Typicality.

Visual Representation Learning Does Not Generalize Strongly Within the Same Domain


Tensorflow implementation for learning an image-to-image translation without input-output pairs. https://arxiv.org/pdf/1703.10593.pdf

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

XGAN: Unsupervised Image-to-Image Translation for Many-to-Many Mappings

A single neural network for cone-beam computed tomography-based radiotherapy of head-and-neck, lung and breast cancer

Generative Adversarial Networks for MR-CT Deformable Image Registration

Jekyll: Attacking Medical Image Diagnostics using Deep Generative Models

IEEE European Symposium on Security and Privacy

Neural network augmented wave-equation simulation

A Quantitative Analysis of the Taxonomy of Artistic Styles


BRIE: Bayesian Regression for Isoform Estimate in Single Cells

Single-Cell RNA-Seq Technologies and Related Computational Data Analysis

BRIE: transcriptome-wide splicing quantification in single cells

BRIE2: computational identification of splicing phenotypes from single-cell transcriptomic experiments

Toward uncharted territory of cellular heterogeneity: advances and applications of single-cell RNA-seq

Journal of translational genetics and genomics


Code for Talking Face Generation by Adversarially Disentangled Audio-Visual Representation (AAAI 2019)

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

An Introduction to Digital Face Manipulation

Handbook of Digital Face Manipulation and Detection

Stochastic Talking Face Generation Using Latent Distribution Matching


A Lem formalization of EVM and some Isabelle/HOL proofs

Security Analysis Methods on Ethereum Smart Contract Vulnerabilities: A Survey

A Concurrent Perspective on Smart Contracts

Smart Contract Vulnerability Detection Technique: A Survey


[CVPR 2022] RADIAl: Raw High-Definition Radar for Multi-Task Learning

Towards Deep Radar Perception for Autonomous Driving: Datasets, Methods, and Challenges

ADCNet: Learning from Raw Radar Data via Distillation

Deep learning for radar data exploitation of autonomous vehicle


Instant-ngp in pytorch+cuda trained with pytorch-lightning (high quality with high speed, with only few lines of legible code)

Instant Neural Graphics Primitives with a Multiresolution Hash Encoding

Decomposing NeRF for Editing via Feature Field Distillation

Blending-NeRF: Text-Driven Localized Editing in Neural Radiance Fields

LightSpeed: Light and Fast Neural Light Fields on Mobile Devices

Surface Normal Clustering for Implicit Representation of Manhattan Scenes

Video2Game: Real-time, Interactive, Realistic and Browser-Compatible
  Environment from a Single Video

CarPatch: A Synthetic Benchmark for Radiance Field Evaluation on Vehicle Components


Official implementation of Adabins: Depth Estimation using adaptive bins

AdaBins: Depth Estimation using Adaptive Bins

MonoScene: Monocular 3D Semantic Scene Completion

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

On the Pitfalls of Heteroscedastic Uncertainty Estimation with Probabilistic Neural Networks

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

Monocular Depth Estimation: a Review of the 2022 State of the Art


Pan-genome wide association studies

Rapid scoring of genes in microbial pan-genome-wide association studies with Scoary

Biofilm Formation of Listeria monocytogenes Strains Under Food Processing Environments and Pan-Genome-Wide Association Study

Two multi-fragment recombination events resulted in the β-lactam-resistant serotype 11A-ST6521 related to Spain9V-ST156 pneumococcal clone spreading in south-western Europe, 2008 to 2016

Machine Learning Prediction of Resistance to Subinhibitory Antimicrobial Concentrations from Escherichia coli Genomes

Increase in antioxidant capacity associated with the successful subclone of hypervirulent carbapenem-resistant Klebsiella pneumoniae ST11-KL64

Association of Virulence, Biofilm, and Antimicrobial Resistance Genes with Specific Clonal Complex Types of Listeria monocytogenes

Development of two microbial source tracking markers for detection of wastewater-associated Escherichia coli isolates

Comparative Genomic Analyses of Lactococcus garvieae Isolated from Bovine Mastitis in China

Whole-Genome Comparative Analysis Reveals Association Between Salmonella Genomic Variation and Egg Production Systems

Pan-genome wide association study of Glaesserella parasuis highlights genes associated with virulence and biofilm formation


A tensorflow implementation of EAST text detector

EAST: An Efficient and Accurate Scene Text Detector

Rotation-Sensitive Regression for Oriented Scene Text Detection

FUNSD: A Dataset for Form Understanding in Noisy Scanned Documents

UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World

SwapText: Image Based Texts Transfer in Scenes

SynthText3D: synthesizing scene text images from 3D virtual worlds

Text Detection and Recognition in the Wild: A Review

Scene Text Detection in Natural Images: A Review

Selective Style Transfer for Text

Graph fusion network for multi-oriented object detection


AdaFace: Quality Adaptive Margin for Face Recognition

DifFIQA: Face Image Quality Assessment Using Denoising Diffusion Probabilistic Models

Impact of Blur and Resolution on Demographic Disparities in 1-to-Many Facial Identification

Fast-DiM: Towards Fast Diffusion Morphs

KeyPoint Relative Position Encoding for Face Recognition

Mitigating the Impact of Attribute Editing on Face Recognition

Greedy-DiM: Greedy Algorithms for Unreasonably Effective Face Morphs

AI-KD: Towards Alignment Invariant Face Image Quality Assessment Using Knowledge Distillation


Pyramid Scene Parsing Network, CVPR2017.

Pyramid Scene Parsing Network

On the Robustness of Semantic Segmentation Models to Adversarial Attacks

Benchmarking the Robustness of Semantic Segmentation Models

A Deep Learning Approach for Meibomian Gland Atrophy Evaluation in Meibography Images

Translational vision science & technology

Context-Aware Saliency Detection for Image Retargeting Using Convolutional Neural Networks

Application of Three Deep Learning Schemes Into Oceanic Eddy Detection

An Exploration of Recent Intelligent Image Analysis Techniques for Visual Pavement Surface Condition Assessment

Color Constancy via Multi-Scale Region-Weighed Network Guided by Semantics

A Multiscale-Based Adjustable Convolutional Neural Network for Multiple Organ Segmentation

Wireless Communications and Mobile Computing

Deep Learning-Based Classification and Semantic Segmentation of Lung Tuberculosis Lesions in Chest X-ray Images


Pushshift API

From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

COVID-Fact: Fact Extraction and Verification of Real-World Claims on COVID-19 Pandemic

Something's Brewing! Early Prediction of Controversy-causing Posts from Discussion Features

Detection of Mental Health from Reddit via Deep Contextualized Representations

International Workshop on Health Text Mining and Information Analysis

Schizophrenia Detection Using Machine Learning Approach from Social Media Content

Personalized Response Generation via Generative Split Memory Network

North American Chapter of the Association for Computational Linguistics

Native Language Cognate Effects on Second Language Lexical Choice

Detection of Suicidality Among Opioid Users on Reddit: Machine Learning–Based Approach

Are Deepfakes Concerning? Analyzing Conversations of Deepfakes on Reddit and Exploring Societal Implications

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

Conversational Bots for Psychotherapy: A Study of Generative Transformer Models Using Domain-specific Dialogues

Workshop on Biomedical Natural Language Processing


Multi Task Vision and Language

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

12-in-1: Multi-Task Vision and Language Representation Learning

Probing Contextual Language Models for Common Ground with Visual Representations

Pro-Cap: Leveraging a Frozen Vision-Language Model for Hateful Meme Detection


DIA-NN - a universal automated software suite for DIA proteomics data analysis.

Accurate Proteome-wide Label-free Quantification by Delayed Normalization and Maximal Peptide Ratio Extraction, Termed MaxLFQ

DIA-NN: neural networks and interference correction enable deep proteome coverage in high throughput

Data‐independent acquisition‐based SWATH ‐ MS for quantitative proteomics: a tutorial

Ultra-High-Throughput Clinical Proteomics Reveals Classifiers of COVID-19 Infection

A time-resolved proteomic and prognostic map of COVID-19

Single-Shot 10K Proteome Approach: Over 10,000 Protein Identifications by Data-Independent Acquisition-Based Single-Shot Proteomics with Ion Mobility Spectrometry

High sensitivity dia-PASEF proteomics with DIA-NN and FragPipe

High-throughput proteomic sample preparation using pressure cycling technology

Optimization of Ultrafast Proteomics Using an LC-Quadrupole-Orbitrap Mass Spectrometer with Data-Independent Acquisition

A Comparative Analysis of Data Analysis Tools for Data-Independent Acquisition Mass Spectrometry


An R package for microbial community analysis in an environmental context

CFTR dysregulation drives active selection of the gut microbiome

The microbial gbu gene cluster links cardiovascular disease risk associated with red meat consumption to microbiota l-carnitine catabolism

Differential Profiles of Gut Microbiota and Metabolites Associated with Host Shift of Plutella xylostella

International journal of molecular sciences

In vitro Fermentation Reveals Changes in Butyrate Production Dependent on Resistant Starch Source and Microbiome Composition

Bacteriome and mycobiome and bacteriome-mycobiome interactions in head and neck squamous cell carcinoma

Gut microbial trimethylamine is elevated in alcohol-associated hepatitis and contributes to ethanol-induced liver injury in mice

Closely Located but Totally Distinct: Highly Contrasting Prokaryotic Diversity Patterns in Raised Bogs and Eutrophic Fens

Influence of Physical-Chemical Soil Parameters on Microbiota Composition and Diversity in a Deep Hyperarid Core of the Atacama Desert

Gut Microbiome as a Potential Biomarker in Fish: Dietary Exposure to Petroleum Hydrocarbons and Metals, Metabolic Functions and Cytokine Expression in Juvenile Lates calcarifer

Genome analysis of the candidate phylum MBNT15 bacterium from a boreal peatland predicted its respiratory versatility and dissimilatory iron metabolism


DeepFill v1/v2 with Contextual Attention and Gated Convolution, CVPR 2018, and ICCV 2019 Oral

Generative Image Inpainting with Contextual Attention

Free-Form Image Inpainting with Gated Convolution

EdgeConnect: Generative Image Inpainting with Adversarial Edge Learning

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

Deep Model Transferability from Attribution Maps

LaFIn: Generative Landmark Guided Face Inpainting

Pixel-wise Dense Detector for Image Inpainting

Iterative facial image inpainting based on an encoder-generator architecture

Chest X-ray Inpainting with Deep Generative Models

Fast Self-Adaptive Digital Camouflage Design Method Based on Deep Learning


Code for the paper Progressive Pose Attention for Person Image Generation in CVPR19 (Oral).

Progressive Pose Attention Transfer for Person Image Generation

XingGAN for Person Image Generation

Progressive and Aligned Pose Attention Transfer for Person Image Generation


Interactive hydrodynamic solver for pipe and channel networks


An R package for computing the Standardized Precipitation-Evapotranspiration Index (SPEI), Penman-Monteith and other reference evapotranspiration, SPI, etc.

Evaluation of bias correction methods for a multivariate drought index: case study of the Upper Jhelum Basin


A simple and effective LLM pruning approach.

A Simple and Effective Pruning Approach for Large Language Models

Compressing LLMs: The Truth is Rarely Pure and Never Simple

Decoding Compressed Trust: Scrutinizing the Trustworthiness of Efficient
  LLMs Under Compression

SLEB: Streamlining LLMs through Redundancy Verification and Elimination
  of Transformer Blocks

Draft & Verify: Lossless Large Language Model Acceleration via Self-Speculative Decoding

Exploring Activation Patterns of Parameters in Language Models

Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression


A collection of work related to COVID-19

An Exploratory Study of COVID-19 Information on Twitter in the Greater Region

Modelling the first wave of COVID-19 in India

Masks and COVID-19: a causal framework for imputing value to public-health interventions

Effect of lockdown interventions to control the COVID-19 epidemic in India

Looking back on forward-looking COVID models


An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks

P-Tuning v2: Prompt Tuning Can Be Comparable to Fine-tuning Universally Across Scales and Tasks

BBTv2: Towards a Gradient-Free Future with Large Language Models

Parameter-Efficient Prompt Tuning Makes Generalized and Calibrated Neural Text Retrievers

Towards Adaptive Prefix Tuning for Parameter-Efficient Language Model Fine-tuning

Prefix Propagation: Parameter-Efficient Tuning for Long Sequences

Dynamic Prompting: A Unified Framework for Prompt Tuning

Developing Prefix-Tuning Models for Hierarchical Text Classification

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

Parameter-Efficient Methods for Metastases Detection fromClinical Notes

Proceedings of the Canadian Conference on Artificial Intelligence


Code for using and evaluating SpanBERT.

SpanBERT: Improving Pre-training by Representing and Predicting Spans

Decontextualization: Making Sentences Stand-Alone

The Role of Context in Detecting Previously Fact-Checked Claims

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

Can Small and Synthetic Benchmarks Drive Modeling Innovation? A Retrospective Study of Question Answering Modeling Approaches.

Constrained Multi-Task Learning for Event Coreference Resolution

Span-Based Event Coreference Resolution

THIRTY-FIFTH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE, THIRTY-THIRD CONFERENCE ON INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE AND THE ELEVENTH SYMPOSIUM ON EDUCATIONAL ADVANCES IN ARTIFICIAL INTELLIGENCE

Generative Prompt Tuning for Relation Classification

Do Question Answering Modeling Improvements Hold Across Benchmarks?

Bringing order into the realm of Transformer-based language models for artificial intelligence and law


Using two stream architecture to implement a classic action recognition method on UCF101 dataset

TS-LSTM and Temporal-Inception: Exploiting Spatiotemporal Dynamics for Activity Recognition

Deep hierarchical pooling design for cross-granularity action recognition

Action Recognition with Deep Multiple Aggregation Networks


QGIS toolkit  for pre- and post-processing , visualizing , and running simulations  in the Weather Research and Forecasting (WRF) model

Open source QGIS toolkit for the Advanced Research WRF modelling system


Netease Youdao's open-source embedding and reranker models for RAG products.

DR-RAG: Applying Dynamic Document Relevance to Retrieval-Augmented Generation for Question-Answering

Tutorly: Turning Programming Videos Into Apprenticeship Learning Environments with LLMs

Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation


Jasmine: SV Merging Across Samples

Jasmine: Population-scale structural variant comparison and analysis

Evolutionary divergence of duplicated genomes in newly described allotetraploid cottons

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

Widespread incomplete lineage sorting and introgression shaped adaptive radiation in the Gossypium genus

Kled: an ultra-fast and sensitive structural variant detection tool for long-read sequencing data

Major impacts of widespread structural variation on sorghum


Links to Russian corpora + Python functions for loading and parsing

M4: Multi-generator, Multi-domain, and Multi-lingual Black-Box Machine-Generated Text Detection

Findings of the The RuATD Shared Task 2022 on Artificial Text Detection in Russian

A Family of Pretrained Transformer Language Models for Russian

Razmecheno: Named Entity Recognition from Digital Archive of Diaries "Prozhito"

RuBLiMP: Russian Benchmark of Linguistic Minimal Pairs


Cell types enrichment analysis

xCell: digitally portraying the tissue cellular heterogeneity landscape

A blood atlas of COVID-19 defines hallmarks of disease severity and specificity

Inflammation status modulates the effect of host genetic variation on intestinal gene expression in inflammatory bowel disease

High immune cytolytic activity in tumor‐free tongue tissue confers better prognosis in patients with squamous cell carcinoma of the oral tongue

The journal of pathology. Clinical research

Transcriptome signatures from discordant sibling pairs reveal changes in peripheral blood immune cell composition in Autism Spectrum Disorder

Distinct CSF biomarker-associated DNA methylation in Alzheimer’s disease and cognitively normal subjects

Widespread Aberrant Alternative Splicing despite Molecular Remission in Chronic Myeloid Leukaemia Patients

Comprehensive evaluation of computational cell-type quantification methods for immuno-oncology

Immune status changing helps diagnose osteoarticular tuberculosis

Expression, oncological and immunological characterizations of BZW1/2 in pancreatic adenocarcinoma


Distributed and fault-tolerant realtime computation: stream processing, continuous computation, distributed RPC, and more

Internet of Things Platform for Smart Farming: Experiences and Lessons Learnt

MapReduce is Good Enough? If All You Have is a Hammer, Throw Away Everything That's Not a Nail!

The Family of MapReduce and Large Scale Data Processing Systems

Muppet: MapReduce-Style Processing of Fast Data

Efficient Distributed Locality Sensitive Hashing

Does Technical Debt Lead to the Rejection of Pull Requests?

VScope: Middleware for Troubleshooting Time-Sensitive Data Center Applications

A Survey on Transactional Stream Processing

Large Scale Estimation in Cyberphysical Systems using Streaming Data: a Case Study with Smartphone Traces

Scalable real-time processing with Spark Streaming: implementation and design of a Car Information System


Quick mining and visualization of NGS data by integrating genomic databases

Stem cell function and stress response are controlled by protein synthesis

Histone H3 globular domain acetylation identifies a new class of enhancers

Visualizing genome and systems biology: technologies, tools, implementation techniques and trends, past, present and future

Elevated NSD3 histone methylation activity drives squamous cell lung cancer

MYC Recruits SPT5 to RNA Polymerase II to Promote Processive Transcription Elongation

Paf1C regulates RNA polymerase II progression by modulating elongation rate

Endogenous retroviruses drive species-specific germline transcriptomes in mammals

NuRD subunit CHD4 regulates super-enhancer accessibility in rhabdomyosarcoma and represents a general tumor dependency

Hominin-specific regulatory elements selectively emerged in oligodendrocytes and are disrupted in autism patients

Reprogramming of H3K9bhb at regulatory elements is a key feature of fasting in the small intestine


Topic Modeling in Embedding Spaces

Topic Modeling in Embedding Spaces

Pre-training is a Hot Topic: Contextualized Document Embeddings Improve Topic Coherence

Is Automated Topic Model Evaluation Broken?: The Incoherence of Coherence

OCTIS: Comparing and Optimizing Topic models is Simple!

EACL 2021: THE 16TH CONFERENCE OF THE EUROPEAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: PROCEEDINGS OF THE SYSTEM DEMONSTRATIONS

vONTSS: vMF based semi-supervised neural topic modeling with optimal transport

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

DeTiME: Diffusion-Enhanced Topic Modeling using Encoder-decoder based LLM

Evaluating the Robustness of Embedding-Based Topic Models to OCR Noise

Zenodo (CERN European Organization for Nuclear Research)

Have you tried Neural Topic Models? Comparative Analysis of Neural and Non-Neural Topic Models with Application to COVID-19 Twitter Data

Variational Gaussian Topic Model with Invertible Neural Projections


Retinaface get 80.99% in widerface hard val using mobilenet0.25.

RetinaFace: Single-stage Dense Face Localisation in the Wild

Lips Don't Lie: A Generalisable and Robust Approach to Face Forgery Detection

General Facial Representation Learning in a Visual-Linguistic Manner

Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection

How to Correctly Detect Face-Masks for COVID-19 from Visual Information?

PASS: An ImageNet replacement for self-supervised pretraining without humans

INTERN: A New Learning Paradigm Towards General Vision

Zero-shot Generation of Coherent Storybook from Plain Text Story using Diffusion Models

Face with Mask Detection in Thermal Images Using Deep Neural Networks

State of the Art of Quality Assessment of Facial Images


Graph Convolutional Networks in PyTorch

Semi-Supervised Classification with Graph Convolutional Networks

AM-GCN: Adaptive Multi-channel Graph Convolutional Networks

Graph Random Neural Networks for Semi-Supervised Learning on Graphs

Layer-Dependent Importance Sampling for Training Deep and Large Graph Convolutional Networks

Be Confident! Towards Trustworthy Graph Neural Networks via Confidence Calibration

Local Augmentation for Graph Neural Networks

Learning Theory Can (Sometimes) Explain Generalisation in Graph Neural Networks

Invariance-Preserving Localized Activation Functions for Graph Neural Networks

Indirect Adversarial Attacks via Poisoning Neighbors for Graph Convolutional Networks

K-Core based Temporal Graph Convolutional Network for Dynamic Graphs

IEEE Transactions on Knowledge and Data Engineering


an interactive viewer for populations of bacterial genomes linked by a phylogeny

Phandango: an interactive viewer for bacterial population genomics

Genetic diversity, mobilisation and spread of the yersiniabactin-encoding mobile element ICEKp in Klebsiella pneumoniae populations

Clinical and laboratory-induced colistin-resistance mechanisms in Acinetobacter baumannii

Genomic Insights of Multidrug-Resistant Escherichia coli From Wastewater Sources and Their Association With Clinical Pathogens in South Africa

European Chlamydia abortus livestock isolate genomes reveal unusual stability and limited diversity, reflected in geographical signatures

Genomic Analysis of Carbapenemase-Producing Extensively Drug-Resistant Klebsiella pneumoniae Isolates Reveals the Horizontal Spread of p18-43_01 Plasmid Encoding blaNDM-1 in South Africa

Isolation and identification of chlorate-reducing Hafnia sp. from milk


[ICML 2023] SmoothQuant: Accurate and Efficient Post-Training Quantization for Large Language Models

Revisiting Block-based Quantisation: What is Important for Sub-8-bit LLM Inference?

INT-FP-QSim: Mixed Precision and Formats For Large Language Models and Vision Transformers

TerDiT: Ternary Diffusion Models with Transformers

LRQ: Optimizing Post-Training Quantization for Large Language Models by Learning Low-Rank Weight-Scaling Matrices


a molecular descriptor calculator

DeepSnap-Deep Learning Approach Predicts Progesterone Receptor Antagonist Activity With High Performance

Frontiers in bioengineering and biotechnology

Pre-Training on In Vitro and Fine-Tuning on Patient-Derived Data Improves Deep Neural Networks for Anti-Cancer Drug-Sensitivity Prediction

Mosquito Olfactory Response Ensemble enables pattern discovery by curating a behavioral and electrophysiological response database

Outlier-Based Domain of Applicability Identification for Materials Property Prediction Models


Tools for Synoptic Environmental Spatial Data

Combining Regional Habitat Selection Models for Large-Scale Prediction: Circumpolar Habitat Selection of Southern Ocean Humpback Whales

Abundance estimates and habitat preferences of bottlenose dolphins reveal the importance of two gulfs in South Australia

Distribution and Habitat Suitability of Ross Seals in a Warming Ocean


Megalodon is a research command line tool to extract high accuracy modified base and sequence variant calls from raw nanopore reads by anchoring the information rich basecalling neural network output to a reference genome/transriptome.

Latest techniques to study DNA methylation

Genome-wide detection of cytosine methylations in plant from Nanopore data using deep learning

Oxford Nanopore sequencing: new opportunities for plant genomics?

Application of long-read sequencing to the detection of structural variants in human cancer genomes

Computational and structural biotechnology journal

Rapid-CNS2: rapid comprehensive adaptive nanopore-sequencing of CNS tumors, a proof-of-concept study

Impact of lossy compression of nanopore raw signal data on basecalling and consensus accuracy

Exploring the crop epigenome: a comparison of DNA methylation profiling techniques

Distinguishing between recruitment and spread of silent chromatin structures in Saccharomyces cerevisiae

Targeted long-read sequencing captures CRISPR editing and AAV integration outcomes in brain

Molecular therapy : the journal of the American Society of Gene Therapy

Single-molecule simultaneous profiling of DNA methylation and DNA-protein interactions with Nanopore-DamID


Keras code and weights files for popular deep learning models.

Deep Residual Learning for Image Recognition

Very Deep Convolutional Networks for Large-Scale Image Recognition

Rethinking the Inception Architecture for Computer Vision

Feature Squeezing: Detecting Adversarial Examples in Deep Neural Networks

Proceedings 2018 Network and Distributed System Security Symposium

Improved Inception-Residual Convolutional Neural Network for Object Recognition

MLRSNet: A Multi-label High Spatial Resolution Remote Sensing Dataset for Semantic Scene Understanding

Robust Screening of COVID-19 from Chest X-ray via Discriminative Cost-Sensitive Learning

Adversarial Examples Versus Cloud-based Detectors: A Black-box Empirical Study

Depth Semantic Segmentation of Tobacco Planting Areas from Unmanned Aerial Vehicle Remote Sensing Images in Plateau Mountains

Improving Feature Extraction from Histopathological Images Through A Fine-tuning ImageNet Model


Unsupervised single image depth prediction with CNNs

Unsupervised Monocular Depth Estimation with Left-Right Consistency

Digging Into Self-Supervised Monocular Depth Estimation

Fast End-to-End Trainable Guided Filter

How do neural networks see depth in single images?

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

Quantifying Aleatoric and Epistemic Uncertainty Using Density Estimation in Latent Space.

Adding the Third Dimension to Spatial Relation Detection in 2D Images

International Conference on Natural Language Generation

SpatialVOC2K: A Multilingual Dataset of Images with Annotations and Features for Spatial Relations between Objects

The Fusion Strategy of 2D and 3D Information Based on Deep Learning: A Review

The Hidden Uncertainty in a Neural Networks Activations


The AMLSim project is intended to provide a multi-agent based simulator that generates synthetic banking transaction data together with a set of known money laundering patterns - mainly for the purpose of testing machine learning models and graph algorithms.  We welcome you to enhance this effort since the data set related to money laundering is critical to advance detection capabilities of money laundering activities.

EvolveGCN: Evolving Graph Convolutional Networks for Dynamic Graphs

Scalable Graph Learning for Anti-Money Laundering: A First Look

Realistic Synthetic Financial Transactions for Anti-Money Laundering Models

Simulating and classifying behavior in adversarial environments based on action-state traces: an application to money laundering

Fighting Money Laundering With Statistics and Machine Learning

Scalable Fine-Grained Parallel Cycle Enumeration Algorithms

Proceedings of the 34th ACM Symposium on Parallelism in Algorithms and Architectures

Fast Parallel Algorithms for Enumeration of Simple, Temporal, and Hop-constrained Cycles

Provably Powerful Graph Neural Networks for Directed Multigraphs


An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"

CLIP4Clip: An empirical study of CLIP for end to end video clip retrieval and captioning

Cross-Modal Discrete Representation Learning

Exposing the Limits of Video-Text Models through Contrast Sets

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies

Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment

IEEE transactions on pattern analysis and machine intelligence

Learn to Understand Negation in Video Retrieval

Proceedings of the 30th ACM International Conference on Multimedia

TaCA: Upgrading Your Visual Foundation Model with Task-agnostic Compatible Adapter


A denoising autoencoder + adversarial losses and attention mechanisms for face swapping.

Self-Attention Generative Adversarial Networks

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

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

Deep Learning for Deepfakes Creation and Detection: A Survey

The Creation and Detection of Deepfakes: A Survey

FakeCatcher: Detection of Synthetic Portrait Videos using Biological Signals

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

Detecting Deep-Fake Videos from Appearance and Behavior

Not made for each other- Audio-Visual Dissonance-based Deepfake Detection and Localization

Countering Malicious DeepFakes: Survey, Battleground, and Horizon


maps identifiers and names to other identifiers and names

Nomer Corpus of Taxonomic Resources hash://sha256/6224f259190590c7aed4784de2b27b3005eea0042ae02993ebf7a0fe30d87137


End-to-end Neural Coreference Resolution

Higher-order Coreference Resolution with Coarse-to-fine Inference

BERT for Coreference Resolution: Baselines and Analysis

Strategies for Structuring Story Generation

Mind the GAP: A Balanced Corpus of Gendered Ambiguous Pronouns

Question Rewriting for Conversational Question Answering

Interpreting Attention Models with Human Visual Attention in Machine Reading Comprehension

MAVEN-ERE: A Unified Large-scale Dataset for Event Coreference, Temporal, Causal, and Subevent Relation Extraction

Incorporating Context and External Knowledge for Pronoun Coreference Resolution

Knowledge-aware Pronoun Coreference Resolution


A tool for semi-automatic cell type classification

Cross-tissue immune cell analysis reveals tissue-specific features in humans

Innovative prognostic modeling in ESCC: leveraging scRNA-seq and bulk-RNA for dendritic cell heterogeneity analysis

Integrative single-cell analysis of LUAD: elucidating immune cell dynamics and prognostic modeling based on exhausted CD8+ T cells


Stitching of large tiled datasets

A deep learning algorithm for 3D cell detection in whole mouse brain image datasets

Distinct Contributions of Whisker Sensory Cortex and Tongue-Jaw Motor Cortex in a Goal-Directed Sensorimotor Transformation

Behavioral origin of sound-evoked activity in mouse visual cortex

Rapid suppression and sustained activation of distinct cortical regions for a delayed sensory-triggered motor response

An adaptable, reusable, and light implant for chronic Neuropixels probes

bioRxiv : the preprint server for biology

Learning-related congruent and incongruent changes of excitation and inhibition in distinct cortical areas

Axonal and Dendritic Morphology of Excitatory Neurons in Layer 2/3 Mouse Barrel Cortex Imaged Through Whole-Brain Two-Photon Tomography and Registered to a Digital Brain Atlas

Quantitative analysis of rabies virus-based synaptic connectivity tracing

Tonically active GABAergic neurons in the dorsal periaqueductal gray control instinctive escape in mice

Tonically active GABAergic neurons in the dorsal periaqueductal gray control the initiation and execution of instinctive escape


Python botnet and backdoor

Two-Stage Intelligent Model for Detecting Malicious DDoS Behavior

Investigating Generalized Performance of Data-Constrained Supervised Machine Learning Models on Novel, Related Samples in Intrusion Detection

Trusted Multi-Domain DDoS Detection Based on Federated Learning

Characterizing the Impact of Data-Damaged Models on Generalization Strength in Intrusion Detection


MVSNet (ECCV2018) & R-MVSNet (CVPR2019)

MVSNet: Depth Inference for Unstructured Multi-view Stereo

Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference

A Benchmark and a Baseline for Robust Multi-view Depth Estimation


A fast, efficient universal vector embedding utility package.

Enriching Word Vectors with Subword Information

Knowledge-Enriched Transformer for Emotion Detection in Textual Conversations

Message Passing for Complex Question Answering over Knowledge Graphs

Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package

Identifying Offensive Posts and Targeted Offense from Twitter

Knowledge-based Conversational Search

Multimodal Dialogue State Tracking By QA Approach with Data Augmentation


nosnoc is an open source software package for NOnSmooth Numerical Optimal Control.

NOSNOC: A Software Package for Numerical Optimal Control of Nonsmooth Systems

The time-freezing reformulation for numerical optimal control of complementarity Lagrangian systems with state jumps

Finite Elements with Switch Detection for direct optimal control of nonsmooth systems

Continuous Optimization for Control of Hybrid Systems With Hysteresis via Time-Freezing

Solving Mathematical Programs with Complementarity Constraints Arising in Nonsmooth Optimal Control

FESD-J: Finite Elements with Switch Detection for numerical optimal control of rigid bodies with impacts and Coulomb friction

Finite Elements with Switch Detection for Direct Optimal Control of Nonsmooth Systems with Set-Valued Step Functions

Finite Elements with Switch Detection for numerical optimal control of nonsmooth dynamical systems with set-valued heaviside step functions


Implementation of SegNet: A Deep Convolutional Encoder-Decoder Architecture for Semantic Pixel-Wise Labelling

Bayesian SegNet: Model Uncertainty in Deep Convolutional Encoder-Decoder Architectures for Scene Understanding

SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation

FSS-2019-nCov: A deep learning architecture for semi-supervised few-shot segmentation of COVID-19 infection

Bayesian convolutional neural network based MRI brain extraction on nonhuman primates

Deep Sclera Segmentation and Recognition

Advanced Soccer Skills and Team Play of RoboCup 2017 TeenSize Winner NimbRo

Pixel-wise Ear Detection with Convolutional Encoder-Decoder Networks

Semiparallel deep neural network hybrid architecture: first application on depth from monocular camera

Green Is Not the Same as Green: Differentiating Between the Association of Trees and Open Green Spaces With Children’s Brain Structure in the Netherlands

Adding Cues to Binary Feature Descriptors for Visual Place Recognition


Record the CPU and memory activity of a process :chart_with_upwards_trend:

Interpretable Time Series Classification using Linear Models and Multi-resolution Multi-domain Symbolic Representations

Truth in Web Mining: Measuring the Profitability and Cost of Cryptominers as a Web Monetization Model

State-space Construction of Hybrid Petri Nets with Multiple Stochastic Firings

Efficient Approach for Anomaly Detection in IoT Using System Calls

Towards an Open Format for Scalable System Telemetry

Pip-MPU: Formal Verification of an MPU-Based Separationkernel for Constrained Devices


IDS data for CJK Unified Ideographs

Few-Shot Font Generation by Learning Fine-Grained Local Styles

Benchmarking Chinese Text Recognition: Datasets, Baselines, and an Empirical Study

Subcharacter Information in Japanese Embeddings: When Is It Worth It?

RELEVANCE OF LINGUISTIC STRUCTURE IN NEURAL ARCHITECTURES FOR NLP

Sub-character Neural Language Modelling in Japanese

Empirical Methods in Natural Language Processing

Cifu: a Frequency Lexicon of Hong Kong Cantonese

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

Chinese Character Decomposition for Neural MT with Multi-Word Expressions

Inference-only sub-character decomposition improves translation of unseen logographic characters

Reading Chinese in Natural Scenes with a Bag-of-Radicals Prior

CC-Riddle: A Question Answering Dataset of Chinese Character Riddles

Puzzle Pieces Picker: Deciphering Ancient Chinese Characters with Radical Reconstruction


High-Resolution Image Synthesis with Latent Diffusion Models

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

Pseudo Numerical Methods for Diffusion Models on Manifolds

Fast Sampling of Diffusion Models with Exponential Integrator

Semi-Parametric Neural Image Synthesis

DE-FAKE: Detection and Attribution of Fake Images Generated by Text-to-Image Generation Models

Q-Diffusion: Quantizing Diffusion Models

Diffusion Probabilistic Model Made Slim

Towards the Detection of Diffusion Model Deepfakes

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


Protégé plugin for creating OWL ontologies from spreadsheets

An Indoor Navigation Methodology for Mobile Devices by Integrating Augmented Reality and Semantic Web

A Comprehensive Fuzzy Ontology-Based Decision Support System for Alzheimer’s Disease Diagnosis

Ontology-based decision tree model for prediction in a manufacturing network

The African wildlife ontology tutorial ontologies

HL7-FHIR-Based ContSys Formal Ontology for Enabling Continuity of Care Data Interoperability

Semantic Description of Plant Phenological Development Stages, Starting with Grapevine

An Approach to Discovery of Customer Profiles

RESEARCH AND PRACTICAL ISSUES OF ENTERPRISE INFORMATION SYSTEMS, 10TH IFIP WG 8.9 WORKING CONFERENCE, CONFENIS 2016

The African Wildlife Ontology tutorial ontologies: requirements, design, and content


Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

Towards Driving-Oriented Metric for Lane Detection Models

On Robustness of Lane Detection Models to Physical-World Adversarial Attacks in Autonomous Driving


A Robust and Efficient Trajectory Planner for Quadrotors

RAPTOR: Robust and Perception-Aware Trajectory Replanning for Quadrotor Fast Flight

Autonomous Drone Racing: A Survey

Design of an Autonomous Cooperative Drone Swarm for Inspections of Safety Critical Infrastructure

anafi_ros: from Off-the-Shelf Drones to Research Platforms

Advanced Algorithms of Collision Free Navigation and Flocking for Autonomous UAVs


Repository for Data Commons platform architecture overview, as well as developer and user documentation


PyDictionary is a Dictionary Module for Python 2/3 to get meanings, translations, synonyms and antonyms of words

Robustness to Spurious Correlations in Text Classification via Automatically Generated Counterfactuals

Using BERT Encoding to Tackle the Mad-lib Attack in SMS Spam Detection

A Metamorphic Testing Approach for Assessing Question Answering Systems

SimpLex: a lexical text simplification architecture

A Transformer-based Approach for Augmenting Software Engineering
  Chatbots Datasets


[ICCV 2023] Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation

High-Resolution Image Synthesis with Latent Diffusion Models

DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation

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

DreamVideo: Composing Your Dream Videos with Customized Subject and Motion

Ground-A-Video: Zero-shot Grounded Video Editing using Text-to-image Diffusion Models

Motion-Conditioned Image Animation for Video Editing


A Change Detection Repo Standing on the Shoulders of Giants

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

A Transformer-Based Siamese Network for Change Detection

Changer: Feature Interaction is What You Need for Change Detection

TINYCD: A (Not So) Deep Learning Model For Change Detection

A New Learning Paradigm for Foundation Model-Based Remote-Sensing Change Detection

MTP: Advancing Remote Sensing Foundation Model via Multitask Pretraining


Pre-trained ELMo Representations for Many Languages

Deep contextualized word representations

On Using Very Large Target Vocabulary for Neural Machine Translation

Towards Better UD Parsing: Deep Contextualized Word Embeddings, Ensemble, and Treebank Concatenation

A Monolingual Approach to Contextualized Word Embeddings for Mid-Resource Languages

Meeting of the Association for Computational Linguistics

A review of sentiment analysis research in Arabic language

LINSPECTOR: Multilingual Probing Tasks for Word Representations

Chinese Clinical Named Entity Recognition in Electronic Medical Records: Development of a Lattice Long Short-Term Memory Model With Contextualized Character Representations

FarsTail: A Persian Natural Language Inference Dataset

A French Corpus for Event Detection on Twitter

STUFIIT at SemEval-2019 Task 5: Multilingual Hate Speech Detection on Twitter with MUSE and ELMo Embeddings

North American Chapter of the Association for Computational Linguistics


A library of JavaScript components to represent biological data

BioJS: an open source standard for biological visualisation – its status in 2014

HeatMapViewer: interactive display of 2D data in biology

KEGGViewer, a BioJS component to visualize KEGG Pathways

FeatureViewer, a BioJS component for visualization of position-based annotations in protein sequences

PPI layouts: BioJS components for the display of Protein-Protein Interactions

PsicquicGraph, a BioJS component to visualize molecular interactions from PSICQUIC servers

BioJS DAGViewer: A reusable JavaScript component for displaying directed graphs

wigExplorer, a BioJS component to visualise wig data

biojs: BioJS2 (alpha)

BioJS InterMineTable Component: A BioJS component for displaying data from InterMine compatible webservice endpoints


A toolbox for skeleton-based action recognition.

Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition

Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition

Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition

Revisiting Skeleton-based Action Recognition

PYSKL: Towards Good Practices for Skeleton Action Recognition

DG-STGCN: Dynamic Spatial-Temporal Modeling for Skeleton-based Action Recognition

Prompt-Guided Zero-Shot Anomaly Action Recognition using Pretrained Deep Skeleton Features


TRI-ML Monocular Depth Estimation Repository

3D Packing for Self-Supervised Monocular Depth Estimation

Semantically-Guided Representation Learning for Self-Supervised Monocular Depth

Towards Real-Time Monocular Depth Estimation for Robotics: A Survey

Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion

Geometric Unsupervised Domain Adaptation for Semantic Segmentation

Neural Ray Surfaces for Self-Supervised Learning of Depth and Ego-motion

Monocular Depth Estimation for Soft Visuotactile Sensors


The Expanding Landscape of Alternative Splicing Variation in Human Populations

An alternative splicing program promotes adipose tissue thermogenesis

Splicing profile by capture RNA-seq identifies pathogenic germline variants in tumor suppressor genes

Placenta Transcriptome Profiling in Intrauterine Growth Restriction (IUGR)

International journal of molecular sciences

Identification of FUBP1 as a Long Tail Cancer Driver and Widespread Regulator of Tumor Suppressor and Oncogene Alternative Splicing

SAM68 promotes tumorigenesis in lung adenocarcinoma by regulating metabolic conversion via PKM alternative splicing

Temporal regulation of alternative splicing events in rice memory under drought stress

The RNA-Binding Protein HuD Regulates Alternative Splicing and Alternative Polyadenylation in the Mouse Neocortex

Detection and targeting of splicing deregulation in pediatric acute myeloid leukemia stem cells

Differential alternative splicing genes and isoform co-expression networks of Brassica napus under multiple abiotic stresses


A genomic k-mer counter (and sequence utility) with nice features.

Merqury: reference-free quality, completeness, and phasing assessment for genome assemblies

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

Complete vertebrate mitogenomes reveal widespread repeats and gene duplications

Evolutionary and biomedical insights from a marmoset diploid genome assembly

Structural variant-based pangenome construction has low sensitivity to variability of haplotype-resolved bovine assemblies

Profiling of Antimicrobial Metabolites Synthesized by the Endophytic and Genetically Amenable Biocontrol Strain Bacillus velezensis DMW1

Reference Genome Assembly of the Big Berry Manzanita (Arctostaphylos glauca)

Genome assembly and annotation of the tambaqui (Colossoma macropomum): an emblematic fish of the Amazon River Basin

A Chinese indicine pan-genome reveals a wealth of novel structural variants introgressed from other Bos species

Zenodo (CERN European Organization for Nuclear Research)

Reference genome for the American rubyspot damselfly, Hetaerina americana


A command line tool and library for transferring data with URL syntax, supporting DICT, FILE, FTP, FTPS, GOPHER, GOPHERS, HTTP, HTTPS, IMAP, IMAPS, LDAP, LDAPS, MQTT, POP3, POP3S, RTMP, RTMPS, RTSP, SCP, SFTP, SMB, SMBS, SMTP, SMTPS, TELNET, TFTP, WS and WSS. libcurl offers a myriad of powerful features

An Empirical Study of the Cost of DNS-over-HTTPS

A Survey on DNS Encryption: Current Development, Malware Misuse, and Inference Techniques

Large Scale Measurement on the Adoption of Encrypted DNS

The Sorry State of TLS Security in Enterprise Interception Appliances

ControlFlag: A Self-Supervised Idiosyncratic Pattern Detection System for Software Control Structures

Measuring the Accessibility of Domain Name Encryption and Its Impact on Internet Filtering

SBFT Tool Competition 2023 -- Fuzzing Track

A QUIC(K) Way Through Your Firewall?

Automatically Tailoring Abstract Interpretation to Custom Usage Scenarios

How Private is Android’s Private DNS Setting? Identifying Apps by Encrypted DNS Traffic

Proceedings of the 16th International Conference on Availability, Reliability and Security


A Python GUI-based framework for segmentation, tracking and cell cycle annotations of microscopy data

Segmentation, tracking and cell cycle analysis of live-cell imaging data with Cell-ACDC

Cell-ACDC: a user-friendly toolset embedding state-of-the-art neural networks for segmentation, tracking and cell cycle annotations of live-cell imaging data


Fast HLA type inference from whole-genome data

HLA*LA—HLA typing from linearly projected graph alignments

Computational cancer neoantigen prediction: current status and recent advances

De novo assembly of human genome at single-cell levels

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

Human leukocyte antigen class II gene diversity tunes antibody repertoires to common pathogens

HLA*PRG:LA – HLA typing from linearly projected graph alignments


A scalable SCENIC workflow for single-cell gene regulatory network analysis

A concerted neuron–astrocyte program declines in ageing and schizophrenia

Single‐cell RNA‐seq reveals clonal diversity and prognostic genes of relapsed multiple myeloma

A TCF4/BRD4-dependent regulatory network confers cross-resistance to targeted and immune checkpoint therapy in melanoma

Intertumoral lineage diversity and immunosuppressive transcriptional programs in well-differentiated gastroenteropancreatic neuroendocrine tumors

Single-cell transcriptome profiling reveals immune and stromal cell heterogeneity in primary Sjögren’s syndrome


SNIPER / AutoFocus is an efficient multi-scale object detection training / inference algorithm

SNIPER: Efficient Multi-Scale Training

AutoFocus: Efficient Multi-Scale Inference

R-FCN-3000 at 30fps: Decoupling Detection and Classification

EAGLE: Large-scale Vehicle Detection Dataset in Real-World Scenarios using Aerial Imagery

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

Scale Normalized Image Pyramids with AutoFocus for Object Detection

A GAN-Based Input-Size Flexibility Model for Single Image Dehazing


Emu Series: Generative Multimodal Models from BAAI

Generative Multimodal Models are In-Context Learners

Generative Pretraining in Multimodality

UniRAG: Universal Retrieval Augmentation for Multi-Modal Large Language Models

HEMM: Holistic Evaluation of Multimodal Foundation Models


Algorithm to implement Fraction and Copy number Estimate from Tumor/normal Sequencing.

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

Whole genome sequencing of skull-base chordoma reveals genomic alterations associated with recurrence and chordoma-specific survival

The genomic and epigenomic evolutionary history of papillary renal cell carcinomas

Genetic Characteristics Associated With Drug Resistance in Lung Cancer and Colorectal Cancer Using Whole Exome Sequencing of Cell-Free DNA


Let us control diffusion models!

Adding Conditional Control to Text-to-Image Diffusion Models

Visual ChatGPT: Talking, Drawing and Editing with Visual Foundation Models

Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators

Controlling Text-to-Image Diffusion by Orthogonal Finetuning

DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning

AnyText: Multilingual Visual Text Generation And Editing

MaskSketch: Unpaired Structure-guided Masked Image Generation

ControlMat: A Controlled Generative Approach to Material Capture

Faster Diffusion: Rethinking the Role of UNet Encoder in Diffusion Models

Domain Expansion of Image Generators


fit piecewise linear data for a specified number of line segments

An Automatic Method for Detection and Update of Additive Changes in Road Network with GPS Trajectory Data

ISPRS International Journal of Geo-Information

The Effect of Thermal Pressure on Collisionless Magnetic Reconnection Rate

Smart Charging of Electric Vehicles Considering SOC-Dependent Maximum Charging Powers

Learning and controlling the source-filter representation of speech with a variational autoencoder

A Clustering Approach for the Analysis of InSAR Time Series: Application to the Bandung Basin (Indonesia)

Numerical Simulation of a Supersonic Ejector for Vacuum Generation with Explicit and Implicit Solver in Openfoam

An optimization method for paleomagnetic Euler pole analysis

Prediction of Olive Tree Water Requirements under Limited Soil Water Availability, Based on Sap Flow Estimations

A scheduling and control approach for an industrial furnace to minimize idle energy consumption.


Request for comments on interchangeable bioinformatics containers

Integrating taxonomic, functional, and strain-level profiling of diverse microbial communities with bioBakery 3

The Dockstore: enabling modular, community-focused sharing of Docker-based genomics tools and workflows

AMBER: Assessment of Metagenome BinnERs

MetaPalette: A k-mer painting approach for metagenomic taxonomic profiling and quantification of novel strain variation

TAXPASTA: TAXonomic Profile Aggregation and STAndardisation


Reference implementation of real-time autoregressive wavenet inference

Deep Voice: Real-time Neural Text-to-Speech

A Universal Music Translation Network

Blow: a single-scale hyperconditioned flow for non-parallel raw-audio voice conversion

Neural Music Synthesis for Flexible Timbre Control

Digital Voicing of Silent Speech

Sequence to Sequence Neural Speech Synthesis with Prosody Modification Capabilities

TTS Skins: Speaker Conversion via ASR

Speaker independence of neural vocoders and their effect on parametric resynthesis speech enhancement

Phonetic Posteriorgrams based Many-to-Many Singing Voice Conversion via Adversarial Training

Parallel Synthesis for Autoregressive Speech Generation


Core data gathering, validation, processing, and reporting package for the Solar Forecast Arbiter


Python library for multilinear algebra and tensor factorizations

Type-Constrained Representation Learning in Knowledge Graphs

Introduction to Tensor Decompositions and their Applications in Machine Learning

Tales of Two Cities: Using Social Media to Understand Idiosyncratic Lifestyles in Distinctive Metropolitan Areas

Knowledge Graph Fact Prediction via Knowledge-Enriched Tensor Factorization

Towards Combined Matrix and Tensor Factorization for Universal Schema Relation Extraction

Tracking System Behavior from Resource Usage Data

AutoHOOT: Automatic High-Order Optimization for Tensors