A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

Attention Is All You Need

End-to-End Neural Transformer Based Spoken Language Understanding

Knowledge Distillation from BERT Transformer to Speech Transformer for Intent Classification


This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919

Deep High-Resolution Representation Learning for Human Pose Estimation

High-Resolution Representations for Labeling Pixels and Regions

Landmark Breaker: Obstructing DeepFake By Disturbing Landmark Extraction

FlowFace: Semantic Flow-guided Shape-aware Face Swapping


EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]

EfficientFormer: Vision Transformers at MobileNet Speed

Rethinking Vision Transformers for MobileNet Size and Speed

FP8 versus INT8 for efficient deep learning inference


GLIDE: a diffusion-based text-conditional image synthesis model

GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models

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

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

A Survey on Non-Autoregressive Generation for Neural Machine Translation and Beyond

Toward Verifiable and Reproducible Human Evaluation for Text-to-Image Generation

Transformer models: an introduction and catalog

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

Mutual Information Divergence: A Unified Metric for Multimodal Generative Models

Arbitrary Style Guidance for Enhanced Diffusion-Based Text-to-Image Generation

TTIDA: Controllable Generative Data Augmentation via Text-to-Text and Text-to-Image Models


Taskonomy: Disentangling Task Transfer Learning [Best Paper, CVPR2018]

Efficiently Identifying Task Groupings for Multi-Task Learning

Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning

Deep Model Transferability from Attribution Maps

Multitask Learning Strengthens Adversarial Robustness

Unveiling functions of the visual cortex using task-specific deep neural networks

Semantic scene descriptions as an objective of human vision

Task-specific vision models explain task-specific areas of visual cortex

Smart Multi-tenant Federated Learning


Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet

Revisiting Unreasonable Effectiveness of Data in Deep Learning Era

Multimodal datasets: misogyny, pornography, and malignant stereotypes

Tencent ML-Images: A Large-Scale Multi-Label Image Database for Visual Representation Learning

Uncheatable Machine Learning Inference


非常全的古诗词数据，收录了从先秦到现代的共计85万余首古诗词。

PanGu-Σ: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing

Paint4Poem: A Dataset for Artistic Visualization of Classical Chinese Poems

Towards Effective Ancient Chinese Translation: Dataset, Model, and Evaluation

Yu Sheng: Human-in-Loop Classical Chinese Poetry Generation System

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations


A finite-state morphological analyzer for Turkish

A set of open source tools for Turkish natural language processing

CoNLL-UL: Universal Morphological Lattices for Universal Dependency Parsing

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

An Open, Extendible, and Fast Turkish Morphological Analyzer

Recent Advances in Natural Language Processing


Deep Residual Learning for Image Recognition

Squeeze-and-Excitation Networks

Feature Pyramid Networks for Object Detection

Delving into Transferable Adversarial Examples and Black-box Attacks

Accurate De Novo Prediction of Protein Contact Map by Ultra-Deep Learning Model

Beyond Finite Layer Neural Networks: Bridging Deep Architectures and Numerical Differential Equations

UPSNet: A Unified Panoptic Segmentation Network

Do Adversarially Robust ImageNet Models Transfer Better?

Spatially Adaptive Computation Time for Residual Networks

GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing

Beyond Triplet Loss: Person Re-Identification With Fine-Grained Difference-Aware Pairwise Loss


PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

Frustum PointNets for 3D Object Detection from RGB-D Data

Spherical Kernel for Efficient Graph Convolution on 3D Point Clouds

Rethinking Pseudo-LiDAR Representation

Fruit Detection and Segmentation for Apple Harvesting Using Visual Sensor in Orchards

PointGuard: Provably Robust 3D Point Cloud Classification

Orthogonal Over-Parameterized Training

Regularizing Neural Networks via Minimizing Hyperspherical Energy

Learning with Hyperspherical Uniformity

On The Adversarial Robustness of 3D Point Cloud Classification


Large-scale generative pretrain of single cell using transformer.

A Deep Dive into Single-Cell RNA Sequencing Foundation Models

Large Language Models in Plant Biology

Parameter-Efficient Fine-Tuning Enhances Adaptation of Single Cell Large Language Model for Cell Type Identification

bioRxiv : the preprint server for biology

Transformer-based Single-Cell Language Model: A Survey


Repo for the Deep Reinforcement Learning Nanodegree program

Evolutionary learning of interpretable decision trees

Reinforcement Learning and Bandits for Speech and Language Processing: Tutorial, Review and Outlook

Training a Resilient Q-network against Observational Interference

Continuous-time Value Function Approximation in Reproducing Kernel Hilbert Spaces

Domain-adapted Learning and Interpretability: DRL for Gas Trading


A tensorflow implementation of the "Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis"

Towards End-to-End Prosody Transfer for Expressive Speech Synthesis with Tacotron

Exploring emotional prototypes in a high dimensional TTS latent space

Speaking style adaptation in Text-To-Speech synthesis using Sequence-to-sequence models with attention

Spoken Style Learning with Multi-modal Hierarchical Context Encoding for Conversational Text-to-Speech Synthesis.


Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks

Searching for MobileNetV3

MnasNet: Platform-Aware Neural Architecture Search for Mobile

CondConv: Conditionally Parameterized Convolutions for Efficient Inference

MixConv: Mixed Depthwise Convolutional Kernels

If your data distribution shifts, use self-learning


Handwritten Text Recognition (HTR) system implemented with TensorFlow.

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

DeepErase: Weakly Supervised Ink Artifact Removal in Document Text Images

HWRCNet: Handwritten Word Recognition in JPEG Compressed Domain using CNN-BiLSTM Network

Recognizing Learner Handwriting Retaining Orthographic Errors for Enabling Fine-Grained Error Feedback

Workshop on Innovative Use of NLP for Building Educational Applications


Fast Global Registration

Fast Global Registration

A New Outlier Removal Strategy Based on Reliability of Correspondence Graph for Fast Point Cloud Registration

A Maximum Feasible Subsystem for Globally Optimal 3D Point Cloud Registration

Evolutionary Multitasking With Solution Space Cutting for Point Cloud Registration


Smart EVSE Electric Vehicle Charging Station

On M2M Micropayments : A Case Study of Electric Autonomous Vehicles

An architecture for distributed ledger-based M2M auditing for Electric Autonomous Vehicles


BtleJuice Bluetooth Smart (LE) Man-in-the-Middle framework

Playing With Danger: A Taxonomy and Evaluation of Threats to Smart Toys

A Framework for Preserving Privacy and Cybersecurity in Brain-Computer Interfacing Applications

BLEKeeper: Response Time Behavior Based Man-In-The-Middle Attack Detection


dabnn is an accelerated binary neural networks inference framework for mobile platform

Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm

Forward and Backward Information Retention for Accurate Binary Neural Networks

A comprehensive review of Binary Neural Network

daBNN: A Super Fast Inference Framework for Binary Neural Networks on ARM devices

Balanced Binary Neural Networks with Gated Residual

Efficient Bitwidth Search for Practical Mixed Precision Neural Network


Simulate Functional Mockup Units (FMUs) in Python

Vico: An entity-component-system based co-simulation framework

Simulation modelling practice and theory

Composing Modeling and Simulation with Machine Learning in Julia

Co-simulation as a Fundamental Technology for Twin Ships

Modeling, Identification and Control: A Norwegian Research Bulletin

Comparative study of algorithms for optimized control of industrial energy supply systems


CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch

Fine-tuning CNN Image Retrieval with No Human Annotation

CNN Image Retrieval Learns from BoW: Unsupervised Fine-Tuning with Hard Examples

Training Vision Transformers for Image Retrieval

Deep Learning for Instance Retrieval: A Survey

SOLAR: Second-Order Loss and Attention for Image Retrieval

Learning and aggregating deep local descriptors for instance-level recognition

OS2D: One-Stage One-Shot Object Detection by Matching Anchor Features

Progressive Local Filter Pruning for Image Retrieval Acceleration

Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective

Asymmetric metric learning for knowledge transfer


Code repository for Convolutional Pose Machines, CVPR'16

Realtime Multi-Person 2D Pose Estimation using Part Affinity Fields

Convolutional Pose Machines

Cognitive Deep Machine Can Train Itself


Audio generation using diffusion models, in PyTorch.

Simple and Controllable Music Generation

Moûsai: Text-to-Music Generation with Long-Context Latent Diffusion

Multi-Source Diffusion Models for Simultaneous Music Generation and Separation

Masked Audio Generation using a Single Non-Autoregressive Transformer

ArchiSound: Audio Generation with Diffusion

VoiceShop: A Unified Speech-to-Speech Framework for Identity-Preserving
  Zero-Shot Voice Editing

Expressive Acoustic Guitar Sound Synthesis with an Instrument-Specific Input Representation and Diffusion Outpainting


This is an implementation of IBM's Quantum Experience in simulation; a 5-qubit quantum computer with a limited set of gates. Please cite me if you end up using this academically.

Secure quantum computing for healthcare sector: A short analysis

Quintuple: a Python 5-qubit quantum computer simulator to facilitate cloud quantum computing

Quintuple: A Tool for Introducing Quantum Computing Into the Classroom


[NeurIPS'21] Projected GANs Converge Faster

Projected GANs Converge Faster

The Role of ImageNet Classes in Fréchet Inception Distance

Towards the Detection of Diffusion Model Deepfakes

Exposing flaws of generative model evaluation metrics and their unfair treatment of diffusion models

The ArtBench Dataset: Benchmarking Generative Models with Artworks

GANravel: User-Driven Direction Disentanglement in Generative Adversarial Networks

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

Taming the Tail in Class-Conditional GANs: Knowledge Sharing via
  Unconditional Training at Lower Resolutions


Reinforcement learning with unsupervised auxiliary tasks

Deep Reinforcement Learning: An Overview

Reinforcement Learning with Unsupervised Auxiliary Tasks

Crawling in Rogue's dungeons with (partitioned) A3C

Attend Before you Act: Leveraging human visual attention for continual learning

Review, Analysis and Design of a Comprehensive Deep Reinforcement Learning Framework

Towards designing a generic and comprehensive deep reinforcement learning framework


Constrained Nonnegative Matrix Factorization for microEndoscopic data

Efficient and accurate extraction of in vivo calcium signals from microendoscopic video data

Circuit Investigations With Open-Source Miniaturized Microscopes: Past, Present and Future

A gut-to-brain signal of fluid osmolarity controls thirst satiation

Heterogeneous Habenular Neuronal Ensembles during Selection of Defensive Behaviors

Dorsal periaqueductal gray ensembles represent approach and avoidance states

Dorsal premammillary projection to periaqueductal gray controls escape vigor from innate and conditioned threats

Optogenetic frequency scrambling of hippocampal theta oscillations dissociates working memory retrieval from hippocampal spatiotemporal codes

Elucidating a locus coeruleus-dentate gyrus dopamine pathway for operant reinforcement

A Hypothalamic Circuit Underlying the Dynamic Control of Social Homeostasis

Population dynamics underlying associative learning in the dorsal and ventral hippocampus


Convolutional Neural Network for 3D meshes in PyTorch

MeshCNN: A Network with an Edge

BRepNet: A topological message passing system for solid models

UV-Net: Learning from Boundary Representations

Rigid Motion Invariant Statistical Shape Modeling based on Discrete Fundamental Forms

Geometric Deep Learning for Post-Menstrual Age Prediction based on the Neonatal White Matter Cortical Surface

UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps


Chinese-LLaMA 1&2、Chinese-Falcon 基础模型；ChatFlow中文对话模型；中文OpenLLaMA模型；NLP预训练/指令微调数据集

Chinese Open Instruction Generalist: A Preliminary Release

Evaluating Large Language Models for Radiology Natural Language Processing

TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities

ChatRadio-Valuer: A Chat Large Language Model for Generalizable Radiology Report Generation Based on Multi-institution and Multi-system Data

Examining User-Friendly and Open-Sourced Large GPT Models: A Survey on Language, Multimodal, and Scientific GPT Models


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


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

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

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

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


GUI/CommandLine Tool Box for biologistists to utilize NGS data.

TBtools, a Toolkit for Biologists integrating various HTS-data handling tools with a user-friendly interface

Genome-wide investigation of WRKY gene family in pineapple: evolution and expression profiles during development and stress

Genome-wide investigation of the ZF-HD gene family in Tartary buckwheat (Fagopyrum tataricum)

Genome-wide analysis of the NAC transcription factor family in Tartary buckwheat (Fagopyrum tataricum)

Genome-wide identification and transcriptional expression analysis of superoxide dismutase (SOD) family in wheat (Triticum aestivum)

Genome-wide identification, structure characterization, and expression pattern profiling of aquaporin gene family in cucumber

A natural biological adhesive from snail mucus for wound repair

Genome-wide identification and expression analysis of the NAC transcription factor family in tomato (Solanum lycopersicum) during aluminum stress

Genome-Wide Analysis and Expression Profile of Superoxide Dismutase (SOD) Gene Family in Rapeseed (Brassica napus L.) under Different Hormones and Abiotic Stress Conditions

Genome-wide identification and expression analysis of AP2/ERF transcription factors in sugarcane (Saccharum spontaneum L.)


Multimodal Unsupervised Image-to-Image Translation

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

StyleGAN2 Distillation for Feed-forward Image Manipulation

Positional Normalization

The Spatially-Correlative Loss for Various Image Translation Tasks

Towards Instance-level Image-to-Image Translation

Unsupervised Multi-modal Style Transfer for Cardiac MR Segmentation

Statistical Atlases and Computational Models of the Heart. Multi-Sequence CMR Segmentation, CRT-EPiggy and LV Full Quantification Challenges

AniGAN: Style-Guided Generative Adversarial Networks for Unsupervised Anime Face Generation

Neural Optimal Transport

On the Evaluation of Conditional GANs


A state-of-the-art semi-supervised method for image recognition

Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results

Label Propagation for Deep Semi-supervised Learning

SELF: Learning to Filter Noisy Labels with Self-Ensembling

There Are Many Consistent Explanations of Unlabeled Data: Why You Should Average

A Survey of Deep Learning for Scientific Discovery

Inconsistency-aware Uncertainty Estimation for Semi-supervised Medical Image Segmentation

What If We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels

LaserMix for Semi-Supervised LiDAR Semantic Segmentation

Segment Any Point Cloud Sequences by Distilling Vision Foundation Models

Semi-Supervised Learning with Scarce Annotations


An open source, embedded, high performance g-code-parser and CNC milling controller written in optimized C that will run on a straight Arduino

P^2IM: Scalable and Hardware-independent Firmware Testing via Automatic Peripheral Interface Modeling (extended version)

Recent Developments Regarding Painting Robots for Research in Automatic Painting, Artificial Creativity, and Machine Learning

DGBench: An Open-Source, Reproducible Benchmark for Dynamic Grasping

A Cartesian Coordinate Robot for Dispensing Fruit Fly Food

DESIGN OF CNC MILLING MACHINE AS A BASE OF INDUSTRY 4.0 ENTERPRISE

WireShape - A Hybrid Prototyping Process for Fast & Reliable Manufacturing of Inflatable Interface Props with CNC-Fabricated Heat–Sealing Tools

Fex: Assisted Identification of Domain Features from C Programs


Semantic Text Similarity Dataset Hub

Deep Learning for Answer Sentence Selection

Sentence Pair Scoring: Towards Unified Framework for Text Comprehension

Joint Learning of Sentence Embeddings for Relevance and Entailment

An Approach to Detecting the Spread of False Information on the Internet Using Data Science Algorithms


Benchmarks for the Optimal Power Flow Problem

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

The Power Grid Library for Benchmarking AC Optimal Power Flow Algorithms

Learning for DC-OPF: Classifying active sets using neural nets

Learning for Constrained Optimization: Identifying Optimal Active Constraint Sets

Verification of Neural Network Behaviour: Formal Guarantees for Power System Applications

Linear/quadratic programming-based optimal power flow using linear power flow and absolute loss approximations

International Journal of Electrical Power & Energy Systems

Statistical Learning For DC Optimal Power Flow

Robust AC Optimal Power Flow with Robust Convex Restriction

Inexact Convex Relaxations for AC Optimal Power Flow: Towards AC Feasibility

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


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

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

Cross-domain Face Presentation Attack Detection via Multi-domain Disentangled Representation Learning

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

Video-based Remote Physiological Measurement via Cross-verified Feature Disentangling

Multi-label Co-regularization for Semi-supervised Facial Action Unit Recognition

Multi-Block Color-Binarized Statistical Images for Single-Sample Face Recognition

FCSR-GAN: Joint Face Completion and Super-Resolution via Multi-Task Learning

Towards Real-Time Eyeblink Detection in the Wild: Dataset, Theory and Practices

Ordinal distribution regression for gait-based age estimation

Investigation of Multimodal Features, Classifiers and Fusion Methods for Emotion Recognition


Html Content / Article Extractor, web scrapping lib in Python

Sampling the News Producers: A Large News and Feature Data Set for the Study of the Complex Media Landscape

NELA-GT-2020: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles

Temporal Topic Modeling to Assess Associations between News Trends and Infectious Disease Outbreaks

Real-Time Web Scale Event Summarization Using Sequential Decision Making

NELA-GT-2022: A Large Multi-Labelled News Dataset for The Study of Misinformation in News Articles

Creating a Real-Time, Reproducible Event Dataset

Finding Authentic Counterhate Arguments: A Case Study with Public Figures

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


A highly-customisable gridworld game engine with some batteries included. Make your own gridworld games to test reinforcement learning agents!

Never Give Up: Learning Directed Exploration Strategies

AI Safety Gridworlds

CompILE: Compositional Imitation Learning and Execution

APS: Active Pretraining with Successor Features

Collaborating with language models for embodied reasoning

Fast deep reinforcement learning using online adjustments from the past

Novelty Search in Representational Space for Sample Efficient Exploration

Tell me why! Explanations support learning relational and causal structure

World Discovery Models

Transforming task representations to perform novel tasks

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


S-RL Toolbox: Reinforcement Learning (RL) and State Representation Learning (SRL) for Robotics

Decoupling feature extraction from policy learning: assessing benefits of state representation learning in goal based robotics

S-RL Toolbox: Environments, Datasets and Evaluation Metrics for State Representation Learning

DREAM Architecture: a Developmental Approach to Open-Ended Learning in Robotics


A list of awesome research on log analysis, anomaly detection, fault localization, and AIOps

Robust log-based anomaly detection on unstable log data

Log Clustering based Problem Identification for Online Service Systems

International Conference on Software Engineering

Log2vec A Heterogeneous Graph Embedding Based Approach for Detecting Cyber Threats within Enterprise

PROCEEDINGS OF THE 2019 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (CCS'19)

Recurrent Neural Network Attention Mechanisms for Interpretable System Log Anomaly Detection

Inferring models of concurrent systems from logs of their behavior with CSight

A Survey on Automated Log Analysis for Reliability Engineering

Examining the stability of logging statements

IEEE International Conference on Software Analysis, Evolution, and Reengineering

Characterizing logging practices in Java-based open source software projects – a replication study in Apache Software Foundation

PreFix

Proceedings of the ACM on Measurement and Analysis of Computing Systems

Characterizing and Detecting Anti-Patterns in the Logging Code


Extract Keywords from sentence or Replace keywords in sentences.

Investigating Entity Knowledge in BERT with Simple Neural End-To-End Entity Linking

Conference on Computational Natural Language Learning

Replace or Retrieve Keywords In Documents at Scale

A Data-driven Approach for Noise Reduction in Distantly Supervised Biomedical Relation Extraction


Beta release of Masstree.

An analysis of concurrency control protocols for in-memory databases with CCBench

CoroBase: Coroutine-Oriented Main-Memory Database Engine

PI : a Parallel in-memory skip list based Index

Scheduling Space Expander: An Extension of Concurrency Control for Data Ingestion Queries


Kandinsky 2 — multilingual text2image latent diffusion model

IP-Adapter: Text Compatible Image Prompt Adapter for Text-to-Image Diffusion Models

Kandinsky: an Improved Text-to-Image Synthesis with Image Prior and Latent Diffusion

MoVQ: Modulating Quantized Vectors for High-Fidelity Image Generation

Cross-Image Attention for Zero-Shot Appearance Transfer

ConceptLab: Creative Concept Generation using VLM-Guided Diffusion Prior Constraints

GenQuery: Supporting Expressive Visual Search with Generative Models

Training Multimedia Event Extraction With Generated Images and Captions

UniFL: Improve Stable Diffusion via Unified Feedback Learning


Borg cluster traces from Google

TPP: Transparent Page Placement for CXL-Enabled Tiered-Memory

PRIMAL: PRofIt Maximization Avatar pLacement for Mobile Edge Computing

Zero Queueing for Multi-Server Jobs

Characterizing Co-located Datacenter Workloads: An Alibaba Case Study

esDNN: Deep Neural Network Based Multivariate Workload Prediction in Cloud Computing Environments

Adaptive Prediction Models for Data Center Resources Utilization Estimation

IEEE Transactions on Network and Service Management

Enabling Sustainable Clouds: The Case for Virtualizing the Energy System

Online Resource Procurement and Allocation in a Hybrid Edge-Cloud Computing System

Cloud-Internet of Health Things (IOHT) Task Scheduling Using Hybrid Moth Flame Optimization with Deep Neural Network Algorithm for E Healthcare Systems

Redy: Remote Dynamic Memory Cache


AMRFinderPlus - Identify AMR genes and point mutations, and virulence and stress resistance genes in assembled bacterial nucleotide and protein sequence.

Evolutionary dynamics of multidrug resistant Salmonella enterica serovar 4,[5],12:i:- in Australia

Comparative Genomic Analysis of 450 Strains of Salmonella enterica Isolated from Diseased Animals

Molecular characterization and antimicrobial susceptibility testing of clinical and non-clinical Brucella melitensis and Brucella abortus isolates from Egypt

Comprehensive genome data analysis establishes a triple whammy of carbapenemases, ICEs and multiple clinically relevant bacteria

Biosolids as a Source of Antibiotic Resistance Plasmids for Commensal and Pathogenic Bacteria

Analysis of the Molecular Diversity Among Cronobacter Species Isolated From Filth Flies Using Targeted PCR, Pan Genomic DNA Microarray, and Whole Genome Sequencing Analyses

Genomic Epidemiology and Antimicrobial Resistance Mechanisms of Imported Typhoid in Australia

ICEs Are the Main Reservoirs of the Ciprofloxacin-Modifying crpP Gene in Pseudomonas aeruginosa

Characterization of NDM-5-producing Enterobacteriaceae isolates from retail grass carp (Ctenopharyngodon idella) and evidence of bla(NDM-5)- bearing IncHI2 plasmid transfer between ducks and fish

Determination of Virulence-Associated Genes and Antimicrobial Resistance Profiles in Brucella Isolates Recovered from Humans and Animals in Iran Using NGS Technology


Creative Commons Attribution 4.0 International

BETO - Spanish version of the BERT model

Spanish Pre-trained BERT Model and Evaluation Data

Exploring Cross-sentence Contexts for Named Entity Recognition with BERT

Mitigating Language-Dependent Ethnic Bias in BERT

A Multi-Task Learning Approach to Hate Speech Detection Leveraging Sentiment Analysis

Pre-training Polish Transformer-based Language Models at Scale

Constructing Taxonomies from Pretrained Language Models

“Here Are the Rules: Ignore All Rules”: Automatic Contradiction Detection in Spanish

Automatic Correction of Real-Word Errors in Spanish Clinical Texts

Lessons learned from the evaluation of Spanish Language Models

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


Deep-learning top taggers or the end of QCD?

Reports of my demise are greatly exaggerated: N-subjettiness taggers take on jet images

Contrasting Exploration in Parameter and Action Space: A Zeroth-Order Optimization Perspective

Portraying Double Higgs at the Large Hadron Collider

Proceedings of Artificial Intelligence for Science, Industry and Society — PoS(AISIS2019)

Neural ensemble decoding for topological quantum error-correcting codes

Boosted Top Quark Tagging and Polarization 2 Measurement using Machine Learning

Morphology of three-body quantum states from machine learning

Top quark physics in the Large Hadron Collider era

End-to-end Deep Learning Pipeline for Microwave Kinetic Inductance Detector (MKID) Resonator Identification and Tuning

opp/ai: Optimistic Privacy-Preserving AI on Blockchain


A C++ library to compress and intersect sorted lists of integers using SIMD instructions

SIMD compression and the intersection of sorted integers

Universal indexes for highly repetitive document collections

Upscaledb: Efficient integer-key compression in a key-value store using SIMD instructions

On the reproducibility of experiments of indexing repetitive document collections

Joint Conference of the Information Retrieval Communities in Europe


Unsupervised Image-to-Image Translation

High-Resolution Image Synthesis and Semantic Manipulation with Conditional GANs

Unsupervised Image-to-Image Translation Networks

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

Breaking the Dilemma of Medical Image-to-image Translation

Neural Style-Preserving Visual Dubbing

International Conference on Computer Graphics and Interactive Techniques

Adverse Weather Image Translation with Asymmetric and Uncertainty-aware GAN

Iconify: Converting Photographs into Icons

Proceedings of the 2020 Joint Workshop on Multimedia Artworks Analysis and Attractiveness Computing in Multimedia

Image-to-Image Translation of Synthetic Samples for Rare Classes


Code for visualizing the loss landscape of neural nets

Visualizing the Loss Landscape of Neural Nets

Improving Generalization in Federated Learning by Seeking Flat Minima

Training Larger Networks for Deep Reinforcement Learning

Position-based Scaled Gradient for Model Quantization and Pruning

Prune and Tune Ensembles: Low-Cost Ensemble Learning With Sparse Independent Subnetworks

UPANets: Learning from the Universal Pixel Attention Neworks

DPlis: Boosting Utility of Differentially Private Deep Learning via Randomized Smoothing

Semantic Segmentation of Skin Lesions using a Small Data Set

HAT4RD: Hierarchical Adversarial Training for Rumor Detection in Social Media

On the Privacy Risks of Cell-Based NAS Architectures

Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications Security


Democratic Policy Development using Collective Dialogues and AI

Aligned: A Platform-based Process for Alignment


Enhanced hierarchical bag-of-word library for C++

ORB-SLAM: a Versatile and Accurate Monocular SLAM System

LIFT-SLAM: a deep-learning feature-based monocular visual SLAM method

Eudoxus: Characterizing and Accelerating Localization in Autonomous Machines

Adding Cues to Binary Feature Descriptors for Visual Place Recognition

Lightweight Object-level Topological Semantic Mapping and Long-term Global Localization based on Graph Matching


This is the repository containing codes for our CVPR, 2020 paper titled "Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis"

Lip-to-Speech Synthesis for Arbitrary Speakers in the Wild

Proceedings of the 30th ACM International Conference on Multimedia

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


Efficient neural feature detector and descriptor

SuperPoint: Self-Supervised Interest Point Detection and Description

Asynchronous Multi-View SLAM

Review of Wide-Baseline Stereo Image Matching Based on Deep Learning

Semi-Supervised Keypoint Detector and Descriptor for Retinal Image Matching

Compression of descriptor models for mobile applications

Looking Beyond Corners: Contrastive Learning of Visual Representations for Keypoint Detection and Description Extraction


Deep learning with dynamic computation graphs in TensorFlow

Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks

Refining Word Embeddings for Sentiment Analysis

Empirical Methods in Natural Language Processing

Deep Learning with Dynamic Computation Graphs

Dynamic Control Flow in Large-Scale Machine Learning

AMPNet: Asynchronous Model-Parallel Training for Dynamic Neural Networks

Learning Deep Nearest Neighbor Representations Using Differentiable Boundary Trees

Linguistically Rich Vector Representations of Supertags for TAG Parsing

Cavs: A Vertex-centric Programming Interface for Dynamic Neural Networks


Tutorials and implementations for "Self-normalizing networks"

Self-Normalizing Neural Networks

The Traveling Observer Model: Multi-task Learning Through Spatial Variable Embeddings

Robust Implicit Backpropagation

Learning Sparse Deep Feedforward Networks via Tree Skeleton Expansion


Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network (ECCV 2018)

Appearance-based Gaze Estimation With Deep Learning: A Review and Benchmark

Limitations and Biases in Facial Landmark Detection -- An Empirical Study on Older Adults with Dementia

Joint 3D facial shape reconstruction and texture completion from a single image

Beyond 3DMM: Learning to Capture High-fidelity 3D Face Shape

IEEE transactions on pattern analysis and machine intelligence

Evaluating effects of focal length and viewing angle in a comparison of recent face landmark and alignment methods

EURASIP Journal on Image and Video Processing


Firmware for Open EVSE


Stanford Method for Persistent Scatterers

LiCSBAS: An Open-Source InSAR Time Series Analysis Package Integrated with the LiCSAR Automated Sentinel-1 InSAR Processor

Multi-Temporal InSAR Parallel Processing for Sentinel-1 Large-Scale Surface Deformation Mapping

Displacements Monitoring over Czechia by IT4S1 System for Automatised Interferometric Measurements Using Sentinel-1 Data

Monitoring of Ground Movements Due to Mine Water Rise Using Satellite-Based Radar Interferometry—A Comprehensive Case Study for Low Movement Rates in the German Mining Area Lugau/Oelsnitz

Linking land subsidence to soil types within Hue city in Central Vietnam

Present‐Day Surface Deformation of Sicily Derived From Sentinel‐1 InSAR Time‐Series

Journal of Geophysical Research: Solid Earth


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

Adversarial Attack and Defense on Graph Data: A Survey

Meta-Learning Probabilistic Inference For Prediction

Unsupervised Learning via Meta-Learning

Deep Reinforcement Learning

Few-Shot Learning with Metric-Agnostic Conditional Embeddings

Meta-Learning Requires Meta-Augmentation

Learning from Few Samples: A Survey

Task-Robust Model-Agnostic Meta-Learning

Adversarial Meta-Learning


BFO repository including source code and latest documents

The environment ontology in 2016: bridging domains with increased scope, semantic density, and interoperation

Measuring Expert Performance at Manually Classifying Domain Entities under Upper Ontology Classes

Applying knowledge bases to make factories smarter

The Smart City Ontology 2.0: Assessing the Components and Interdependencies of City Smartness

The smashHitCore Ontology for GDPR-Compliant Sensor Data Sharing in Smart Cities

Knowledge Graph Building Blocks: An easy-to-use Framework for developing FAIREr Knowledge Graphs

Towards a Rosetta Stone for (meta)data: Learning from natural language to improve semantic and cognitive interoperability


Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Learning Transferable Cooperative Behavior in Multi-Agent Teams

PIC: Permutation Invariant Critic for Multi-Agent Deep Reinforcement Learning

Collective eXplainable AI: Explaining Cooperative Strategies and Agent Contribution in Multiagent Reinforcement Learning With Shapley Values

A New Framework for Multi-Agent Reinforcement Learning -- Centralized Training and Exploration with Decentralized Execution via Policy Distillation

Robust Multi-Agent Reinforcement Learning with State Uncertainty

Multi-agent reinforcement learning with approximate model learning for competitive games

Deep Reinforcement Learning

Deep reinforcement learning of event-triggered communication and control for multi-agent cooperative transport

Modeling the Interaction between Agents in Cooperative Multi-Agent Reinforcement Learning


Speech waveform synthesis from MFCC sequences with generative adversarial networks

JVS corpus: free Japanese multi-speaker voice corpus

DiffSVC: A Diffusion Probabilistic Model for Singing Voice Conversion

Compiling REAPER (Robust Epoch And Pitch EstimatoR)

On the Utility of Self-supervised Models for Prosody-related Tasks

JSUT and JVS: Free Japanese voice corpora for accelerating speech synthesis research

Nippon Onkyo Gakkaishi/Acoustical science and technology/Nihon Onkyo Gakkaishi

PPG-based singing voice conversion with adversarial representation learning

Waveform generation for text-to-speech synthesis using pitch-synchronous multi-scale generative adversarial networks

Daft-Exprt: Cross-Speaker Prosody Transfer on Any Text for Expressive Speech Synthesis

Multimodal Capture of Patient Behaviour for Improved Detection of Early Dementia: Clinical Feasibility and Preliminary Results


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


(MOVED) Athena++ GRMHD code and adaptive mesh refinement (AMR) framework. Active repository --->

The Athena++ Adaptive Mesh Refinement Framework: Design and Magnetohydrodynamic Solvers

The Astrophysical Journal Supplement Series

The Event Horizon General Relativistic Magnetohydrodynamic Code Comparison Project

MHD Turbulence

Living Reviews in Computational Astrophysics

Technique for Separating Velocity and Density Contributions in Spectroscopic Data and Its Application to Studying Turbulence and Magnetic Fields

An entropy stable nodal discontinuous Galerkin method for the resistive MHD equations. Part II: Subcell finite volume shock capturing

Thermal instability and multiphase gas in the simulated interstellar medium with conduction, viscosity, and magnetic fields

Monthly Notices of the Royal Astronomical Society

Magnetohydrodynamics with GAMER

Constraint Preserving Discontinuous Galerkin Method for Ideal Compressible MHD on 2-D Cartesian Grids

Modeling the inner part of M87 jet: confronting jet morphology with theory


Pyramid Stereo Matching Network (CVPR2018)

Pyramid Stereo Matching Network

Learning for Disparity Estimation through Feature Constancy

Learning Depth with Convolutional Spatial Propagation Network

OmniMVS: End-to-End Learning for Omnidirectional Stereo Matching

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

SDF-MAN: Semi-Supervised Disparity Fusion with Multi-Scale Adversarial Networks

I2P-Rec: Recognizing Images on Large-scale Point Cloud Maps through Bird's Eye View Projections

UDFNet: Unsupervised Disparity Fusion with Adversarial Networks

Disparity Estimation Networks for Aerial and High-Resolution Satellite Images: A Review

An evaluation of Deep Learning based stereo dense matching dataset shift from aerial images and a large scale stereo dataset

International Journal of Applied Earth Observation and Geoinformation


Gaussian word embeddings

Order-Embeddings of Images and Language

Word Representations via Gaussian Embedding

HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment

Embedding Words as Distributions with a Bayesian Skip-gram Model

Predicting Word Association Strengths

Modeling Context Words as Regions: An Ordinal Regression Approach to Word Embedding

Conference on Computational Natural Language Learning

Empirical Study of Named Entity Recognition Performance Using Distribution-aware Word Embedding


Home of StarCoder: fine-tuning & inference!

Finetuned Language Models Are Zero-Shot Learners

StarCoder: may the source be with you!

Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation

SantaCoder: don't reach for the stars!

Data Quality in Imitation Learning

A Survey on Large Language Models for Software Engineering

An HCI-Centric Survey and Taxonomy of Human-Generative-AI Interactions

A Survey of Source Code Search: A 3-Dimensional Perspective


NVIDIA's Deep Imagination Team's PyTorch Library

Neural Actor: Neural Free-view Synthesis of Human Actors with Pose Control

COCO-FUNIT: Few-Shot Unsupervised Image Translation with a Content Conditioned Style Encoder

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

medigan: a Python library of pretrained generative models for medical image synthesis

MMV_Im2Im: An Open Source Microscopy Machine Vision Toolbox for Image-to-Image Transformation

Search Spaces for Neural Model Training

DF40: Toward Next-Generation Deepfake Detection


Outdated, see new https://github.com/braindecode/braindecode

Machine-learning-based diagnostics of EEG pathology

Evaluation of Hyperparameter Optimization in Machine and Deep Learning Methods for Decoding Imagined Speech EEG

WOODS: Benchmarks for Out-of-Distribution Generalization in Time Series

Hybrid Brain-Computer-Interfacing for Human-Compliant Robots: Inferring Continuous Subjective Ratings With Deep Regression

Time-space-frequency feature Fusion for 3-channel motor imagery classification

Weight Freezing: A Regularization Approach for Fully Connected Layers with an Application in EEG Classification

Improving Network Training on Resource-Constrained Devices via Habituation Normalization


TextBoxes++: A Single-Shot Oriented Scene Text Detector

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

Text Recognition in the Wild: A Survey

Scene Text Detection in Natural Images: A Review

Pelee-Text++: A Tiny Neural Network for Scene Text Detection


Configurable automation library for linux SBC boards including raspberry pi


The 'exploitable' GDB plugin

The Art, Science, and Engineering of Fuzzing: A Survey

Chaff Bugs: Deterring Attackers by Making Software Buggier

Sydr-Fuzz: Continuous Hybrid Fuzzing and Dynamic Analysis for Security Development Lifecycle

MoonLight: Effective Fuzzing with Near-Optimal Corpus Distillation.

CASR: core dump analysis and severity reporter tool

Труды Института системного программирования РАН


Scalable Time Series Data Analytics

TapNet: Multivariate Time Series Classification with Attentional Prototypical Network

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

Fast and Accurate Time Series Classification with WEASEL

International Conference on Information and Knowledge Management

Multivariate Time Series Classification with WEASEL+MUSE

TEASER: Early and Accurate Time Series Classification

A Distributed Multi-Sensor Machine Learning Approach to Earthquake Early Warning

XEM: An explainable-by-design ensemble method for multivariate time series classification

Dataset: Rare Event Classification in Multivariate Time Series

Local Cascade Ensemble for Multivariate Data Classification.


Open Movement devices are miniature, embeddable, open source sensors developed at Newcastle University, UK. The source code for the firmware and software is available under a BSD 2-clause license, and the hardware (PCB designs, layouts and schematics), enclosure designs and documentation are available under a Creative Commons 3.0 BY Attribution License.

Large Scale Population Assessment of Physical Activity Using Wrist Worn Accelerometers: The UK Biobank Study

Genome-wide association analysis of self-reported daytime sleepiness identifies 42 loci that suggest biological subtypes

pyActigraphy: Open-source python package for actigraphy data visualization and analysis

Deep learning-based automated speech detection as a marker of social functioning in late-life depression

Validation of Activity Tracking Procedures in Elderly Patients after Operative Treatment of Proximal Femur Fractures

Simple Method for the Objective Activity Type Assessment with Preschoolers, Children and Adolescents

GWAS in 446,118 European adults identifies 78 genetic loci for self-reported habitual sleep duration supported by accelerometer-derived estimates

Inertial Kinetic Energy Harvesters for Wearables: The Benefits of Energy Harvesting at the Foot

Genome-wide association analyses of chronotype in 697,828 individuals provides new insights into circadian rhythms in humans and links to disease

Development and feasibility of a wearable infant wrist band for the objective measurement of physical activity using accelerometery


Integrating the TensorFlow 1.15 C-API into OpenFOAM 5.0 for data-driven CFD algorithm development

A turbulent eddy-viscosity surrogate modeling framework for Reynolds-Averaged Navier-Stokes simulations

Deploying deep learning in OpenFOAM with TensorFlow

Machine learning accelerated turbulence modeling of transient flashing jets


A mix of GAN implementations including progressive growing

Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

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

Conditional Image Synthesis With Auxiliary Classifier GANs

Which Training Methods for GANs do actually Converge?

Learning Causal Semantic Representation for Out-of-Distribution Prediction

GDPP: Learning Diverse Generations Using Determinantal Point Process

Evaluating the Clinical Realism of Synthetic Chest X-Rays Generated Using Progressively Growing GANs

Inspirational Adversarial Image Generation

PCA-AE: Principal Component Analysis Autoencoder for Organising the Latent Space of Generative Networks

Fractional Wavelet-Based Generative Scattering Networks


The POX network software platform

Advancing Software-Defined Networks: A Survey

Software Defined Networks-Based Smart Grid Communication: A Comprehensive Survey

MiniCPS: A toolkit for security research on CPS Networks

NeuRoute: Predictive Dynamic Routing for Software-Defined Networks

SDN Flow Entry Management Using Reinforcement Learning

Routing Centralization Across Domains via SDN: A Model and Emulation Framework for BGP Evolution

Kollaps: Decentralized and Dynamic Topology Emulation

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

Bulletin of Electrical Engineering and Informatics

A SDN/OpenFlow Framework for Dynamic Resource Allocation based on Bandwidth Allocation Model

CECT: computationally efficient congestion-avoidance and traffic engineering in software-defined cloud data centers


This toolkit was designed for the fast and efficient development of modern machine comprehension models, including both published models and original prototypes.

Conversational Machine Comprehension: a Literature Review

International Conference on Computational Linguistics

A Survey of Document Grounded Dialogue Systems (DGDS)

Sogou Machine Reading Comprehension Toolkit


Mapping the MIMIC-III database to the OMOP schema

An empirical characterization of fair machine learning for clinical risk prediction

Transformation and Evaluation of the MIMIC Database in the OMOP Common Data Model: Development and Usability Study

MIMIC in the OMOP Common Data Model


Code for reproducing key results in the paper "InfoGAN: Interpretable Representation Learning by Information Maximizing Generative Adversarial Nets"

HoloGAN: Unsupervised Learning of 3D Representations From Natural Images

IEEE International Conference on Computer Vision

Unsupervised Learning via Meta-Learning

Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review

Ten Years of Generative Adversarial Nets (GANs): A survey of the state-of-the-art

HoloGAN: Unsupervised learning of 3D representations from natural images


You Only Look Once for Panopitic Driving Perception.（MIR2022）

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

MultiNet: Real-time Joint Semantic Reasoning for Autonomous Driving

YOLOP: You Only Look Once for Panoptic Driving Perception

You Only Look at Once for Real-time and Generic Multi-Task

DisPlacing Objects: Improving Dynamic Vehicle Detection via Visual Place Recognition under Adverse Conditions


Netperf is a benchmark that can be used to measure the performance of many different types of networking. It provides tests for both unidirectional throughput, and end-to-end latency.

IoT-KEEPER: Securing IoT Communications in Edge Networks

Benchmarking tunnel and encryption methodologies in cloud environments


Declarative, On-Device Machine Learning for iOS, Android, and React Native. Deploy. Predict. Train.

Federated Learning for Healthcare Informatics

Reviewing Federated Machine Learning and Its Use in Diseases Prediction

A comprehensive review of federated learning for COVID‐19 detection

International journal of intelligent systems

OpenFed: A Comprehensive and Versatile Open-Source Federated Learning Framework


A tool for learning vector representations of words and entities from Wikipedia

Joint Learning of the Embedding of Words and Entities for Named Entity Disambiguation

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

Novel Entity Discovery from Web Tables

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

Neural Attentive Bag-of-Entities Model for Text Classification

Representation Learning of Entities and Documents from Knowledge Base Descriptions

Studio Ousia's Quiz Bowl Question Answering System

The Springer series on challenges in machine learning

On the Coherence of Fake News Articles


Natural Language Toolkit for Indic Languages aims to provide out of the box support for various NLP tasks that an application developer might need

IndicNLPSuite: Monolingual Corpora, Evaluation Benchmarks and Pre-trained Multilingual Language Models for Indian Languages

AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages

iNLTK: Natural Language Toolkit for Indic Languages

Proceedings of Second Workshop for NLP Open Source Software (NLP-OSS)

Is Machine Learning Speaking my Language? A Critical Look at the NLP-Pipeline Across 8 Human Languages

Spartans@LT-EDI-EACL2021: Inclusive Speech Detection using Pretrained Language Models

CodemixedNLP: An Extensible and Open NLP Toolkit for Code-Mixing

L3Cube-IndicNews: News-based Short Text and Long Document Classification Datasets in Indic Languages

A Comparative Study on Language Models for the Kannada Language

International Conference on Natural Language and Speech Processing

L3Cube-MahaNews: News-based Short Text and Long Document Classification Datasets in Marathi


Main ricopili repo for public releases

Transancestral GWAS of alcohol dependence reveals common genetic underpinnings with psychiatric disorders

Discovery of the first genome-wide significant risk loci for ADHD

Investigating Shared Genetic Basis Across Tourette Syndrome and Comorbid Neurodevelopmental Disorders Along the Impulsivity-Compulsivity Spectrum

A polygenic resilience score moderates the genetic risk for schizophrenia

Genetic Overlap Between Alzheimer’s Disease and Bipolar Disorder Implicates the MARK2 and VAC14 Genes

Genetic comorbidity between major depression and cardio-metabolic traits, stratified by age at onset of major depression

Carolina Digital Repository (University of North Carolina at Chapel Hill)

A large-scale integrative analysis of GWAS and common meQTLs across whole life course identifies genes, pathways and tissue/cell types for three major psychiatric disorders

CLOCK Polymorphisms in Attention-Deficit/Hyperactivity Disorder (ADHD): Further Evidence Linking Sleep and Circadian Disturbances and ADHD


StyleFlow: Attribute-conditioned Exploration of StyleGAN-generated Images using  Conditional Continuous Normalizing Flows (ACM TOG 2021)

PointFlow: 3D Point Cloud Generation with Continuous Normalizing Flows

StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows

Controllable and Compositional Generation with Latent-Space Energy-Based Models

Improving the Fairness of Deep Generative Models without Retraining

FairStyle: Debiasing StyleGAN2 with Style Channel Manipulations

GANravel: User-Driven Direction Disentanglement in Generative Adversarial Networks

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

VoiceShop: A Unified Speech-to-Speech Framework for Identity-Preserving
  Zero-Shot Voice Editing


The RedPajama-Data repository contains code for preparing large datasets for training large language models.

Extending Context Window of Large Language Models via Positional Interpolation

Yi: Open Foundation Models by 01.AI

Llemma: An Open Language Model For Mathematics

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

StarCoder 2 and The Stack v2: The Next Generation

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open
  Language Models

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

Focused Transformer: Contrastive Training for Context Scaling

MEDITRON-70B: Scaling Medical Pretraining for Large Language Models

Detecting Pretraining Data from Large Language Models


A script that creates train, valid and test datasets for the ranking task from Ubuntu corpus dialogs.

Modeling Topical Relevance for Multi-Turn Dialogue Generation

Conditional Text Generation for Harmonious Human-Machine Interaction

Measuring Semantic Coherence of a Conversation

Enhance word representation for out-of-vocabulary on Ubuntu dialogue corpus

Knowledge-based Conversational Search

A Comprehensive Survey of Natural Language Generation Advances from the Perspective of Digital Deception

Query-Response Interactions by Multi-tasks in Semantic Search for Chatbot Candidate Retrieval

Recent Progress in Conversational AI

Meta-Context Transformers for Domain-Specific Response Generation


Beyond the Imitation Game collaborative benchmark for measuring and extrapolating the capabilities of language models

Chain-of-Thought Prompting Elicits Reasoning in Large Language Models

PaLM: Scaling Language Modeling with Pathways

On the Opportunities and Risks of Foundation Models

Self-Consistency Improves Chain of Thought Reasoning in Language Models

Multitask Prompted Training Enables Zero-Shot Task Generalization

Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Training Compute-Optimal Large Language Models

Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Program Synthesis with Large Language Models

Scaling Language Models: Methods, Analysis & Insights from Training Gopher


List of papers, code and experiments using deep learning for time series forecasting

Statistical and Machine Learning forecasting methods: Concerns and ways forward

Traffic transformer: Capturing the continuity and periodicity of time series for traffic forecasting

DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting

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

Attention based Multi-Modal New Product Sales Time-series Forecasting

Forecasting Big Time Series: Theory and Practice

WWW'20: COMPANION PROCEEDINGS OF THE WEB CONFERENCE 2020

Forecasting the Evolution of Hydropower Generation

Forecasting Multivariate Time-Series Data Using LSTM and Mini-Batches

Lecture notes on data engineering and communications technologies

Resilient Neural Forecasting Systems

Deep State-Space Generative Model For Correlated Time-to-Event Predictions

Augmented Out-of-Sample Comparison Method for Time Series Forecasting Techniques


Android Package Inspector - dynamic analysis with api hooks, start unexported activities and more. (Xposed Module)

A Performance-Sensitive Malware Detection System Using Deep Learning on Mobile Devices

IEEE Transactions on Information Forensics and Security

Investigating the Security of EV Charging Mobile Applications as an Attack Surface

User Privacy and Data Flow Control for Android Apps: Systematic Literature Review


Efficient AI Backbones including GhostNet, TNT and MLP, developed by Huawei Noah's Ark Lab.

GhostNet: More Features from Cheap Operations

Transformer in Transformer

Vision GNN: An Image is Worth Graph of Nodes

GhostNetV2: Enhance Cheap Operation with Long-Range Attention

An Image Patch is a Wave: Phase-Aware Vision MLP

GhostNets on Heterogeneous Devices via Cheap Operations

International Journal of Computer Vision

Model Rubik's Cube: Twisting Resolution, Depth and Width for TinyNets

Augmented Shortcuts for Vision Transformers

Brain-inspired Multilayer Perceptron with Spiking Neurons

PyramidTNT: Improved Transformer-in-Transformer Baselines with Pyramid Architecture


Area proportional Venn and Euler diagrams in JavaScript

ChemDes: an integrated web-based platform for molecular descriptor and fingerprint computation

Caenorhabditis elegans nuclear RNAi factor SET-32 deposits the transgenerational histone modification, H3K23me3

Accurate de novo identification of biosynthetic gene clusters with GECCO

BRCA-Pathway: a structural integration and visualization system of TCGA breast cancer data on KEGG pathways

DNMT3A Harboring Leukemia-Associated Mutations Directs Sensitivity to DNA Damage at Replication Forks

Bone Marrow Endothelial Cells Influence Function and Phenotype of Hematopoietic Stem and Progenitor Cells after Mixed Neutron/Gamma Radiation

International journal of molecular sciences


Pellet is an OWL 2 reasoner in Java; open source (AGPL) and commercially licensed, commercial support available.

A Trust Model for Data Sharing in Smart Cities

International Conference on Communications

Smart Environments and Social Robots for Age-Friendly Integrated Care Services

International journal of environmental research and public health

Deep Learning for Ontology Reasoning

Automated discovery and integration of semantic urban data streams: The ACEIS middleware

Finding melanoma drugs through a probabilistic knowledge graph

DBpedia Archivo: A Web-Scale Interface for Ontology Archiving Under Consumer-Oriented Aspects

Harnessing ontology and machine learning for RSO classification

SUAVE: An Exemplar for Self-Adaptive Underwater Vehicles

Semantic Systems. In the Era of Knowledge Graphs: 16th International Conference on Semantic Systems, SEMANTiCS 2020, Amsterdam, The Netherlands, September 7–10, 2020, Proceedings

A rule-based decision support system for aiding iron deficiency management


Retina blood vessel segmentation with a convolutional neural network

U-Net: Convolutional Networks for Biomedical Image Segmentation

Retinal Vasculature Segmentation Using Local Saliency Maps and Generative Adversarial Networks For Image Super Resolution

ADMM-Net: A Deep Learning Approach for Compressive Sensing MRI

Exploring the effect of hypertension on retinal microvasculature using deep learning on East Asian population

Sequential vessel segmentation via deep channel attention network

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

Progressive Generative Adversarial Networks for Medical Image Super resolution

Mechanisms Underlying Vascular Endothelial Growth Factor Receptor Inhibition–Induced Hypertension

A Recursive Bayesian Approach To Describe Retinal Vasculature Geometry

Improved CNN-Segmentation-Based Finger Vein Recognition Using Automatically Generated and Fused Training Labels

Retinal Vessel Segmentation under Extreme Low Annotation: A Generative Adversarial Network Approach


RAxML version 8: a tool for phylogenetic analysis and post-analysis of large phylogenies

Whole genome sequencing in clinical and public health microbiology

The tuatara genome reveals ancient features of amniote evolution

Large-scale phylogenomic analysis resolves a backbone phylogeny in ferns

Comprehensive Genomic Profiling of Neuroendocrine Carcinomas of the Gastrointestinal System

A Format for Phylogenetic Placements

Complete Genome Sequencing of Lactobacillus plantarum ZLP001, a Potential Probiotic That Enhances Intestinal Epithelial Barrier Function and Defense Against Pathogens in Pigs

Complete Genome Sequencing and Comparative Genome Characterization of Lactobacillus johnsonii ZLJ010, a Potential Probiotic With Health-Promoting Properties

Target Nuclear and Off-Target Plastid Hybrid Enrichment Data Inform a Range of Evolutionary Depths in the Orchid Genus Epidendrum

Biocontrol Potential of a Novel Endophytic Bacterium From Mulberry (Morus) Tree

Frontiers in bioengineering and biotechnology


Convolutional Neural Networks to predict the aesthetic and technical quality of images.

NIMA: Neural Image Assessment

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

Biometric Quality: Review and Application to Face Recognition with FaceQnet

CLIP knows image aesthetics

State of the Art of Quality Assessment of Facial Images

Semantic Satellite Communications Based on Generative Foundation Model

Cross-Modal Generative Semantic Communications for Mobile AIGC: Joint
  Semantic Encoding and Prompt Engineering


C++ associative containers

3D Semantic Segmentation with Submanifold Sparse Convolutional Networks

The Case for Learned Index Structures

Off the Beaten Path: Let's Replace Term-Based Retrieval with k-NN Search

International Conference on Information and Knowledge Management

Motivo: fast motif counting via succinct color coding and adaptive sampling

Parallel Weighted Random Sampling

Scalable metagenomics alignment research tool (SMART): a scalable, rapid, and complete search heuristic for the classification of metagenomic sequences from complex sequence populations

Me Love (SYN-)Cookies: SYN Flood Mitigation in Programmable Data Planes

Faster Motif Counting via Succinct Color Coding and Adaptive Sampling

ACM Transactions on Knowledge Discovery from Data

Practical Evaluation of Lempel-Ziv-78 and Lempel-Ziv-Welch Tries


The X Toolkit

Mindboggling morphometry of human brains

Deciphering the mechanisms of developmental disorders: phenotype analysis of embryos from mutant mouse lines

Reusable Client-Side JavaScript Modules for Immersive Web-Based Real-Time Collaborative Neuroimage Visualization

Modern Scientific Visualizations on the Web

brainR: Interactive 3 and 4D Images of High Resolution Neuroimage Data

Exploring the Human Connectome Topology in Group Studies

From the Wet Lab to the Web Lab: A Paradigm Shift in Brain Imaging Research

N-Tools-Browser: Web-Based Visualization of Electrocorticography Data for Epilepsy Surgery

A Semantic Cross-Species Derived Data Management Application


Design and Analysis of a Wake Steering Controller with Wind Direction Variability

A tutorial on the synthesis and validation of a closed-loop wind farm controller using a steady-state surrogate model

Model-based closed-loop wind farm control for power maximization using Bayesian Optimization: a large eddy simulation study

Zenodo (CERN European Organization for Nuclear Research)

Predicting the benefit of wake steering on the annual energy production of a wind farm using large eddy simulations and Gaussian process regression

SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2020), PTS 1-5

Joint state-parameter estimation for a control-oriented LES wind farm model

Numerical Validation of Wind Plant Control Strategies

Actuator line model using simplified force calculation methods

The Importance of Wake Meandering on Wind Turbine Fatigue Loads in Wake

Distributed and Cooperative Control in Wind Farms

Optimal distribution width for ALM in LES for (NEW) MEXICO experiment

SCIENCE OF MAKING TORQUE FROM WIND (TORQUE 2018)


*UNMAINTAINED* Decompiler and Security Analysis tool for Blockchain-based Ethereum Smart-Contracts

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

Vandal: A Scalable Security Analysis Framework for Smart Contracts

Precise Attack Synthesis for Smart Contracts

EtherSolve: Computing an Accurate Control-Flow Graph from Ethereum Bytecode

SIF: A Framework for Solidity Code Instrumentation and Analysis


Some results of my DGA reversing efforts

Analyzing the Real-World Applicability of DGA Classifiers

Proceedings of the 15th International Conference on Availability, Reliability and Security

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

Journal of Network and Computer Applications

Exploiting Statistical and Structural Features for the Detection of Domain Generation Algorithms

False Sense of Security: Leveraging XAI to Analyze the Reasoning and True Performance of Context-less DGA Classifiers

Proceedings of the 26th International Symposium on Research in Attacks, Intrusions and Defenses


DEPRECATED. See Talk-Api.

PLANET HUNTERS: A TRANSITING CIRCUMBINARY PLANET IN A QUADRUPLE STAR SYSTEM

The Milky Way Project First Data Release: a bubblier Galactic disc

Monthly Notices of the Royal Astronomical Society

The notes from nature tool for unlocking biodiversity records from museum records through citizen science

PLANET HUNTERS. V. A CONFIRMED JUPITER-SIZE PLANET IN THE HABITABLE ZONE AND 42 PLANET CANDIDATES FROM THE KEPLER ARCHIVE DATA

Planet Hunters: Assessing the Kepler Inventory of Short Period Planets

Citizen Science: Contributions to Astronomy Research

Planet Hunters: New Kepler planet candidates from analysis of quarter 2


GPU-accelerated RIME implementations. An offshoot of the BIRO projects, and one of the foothills of Mt Exaflop.

Montblanc: GPU accelerated Radio Interferometer Measurement Equations in support of Bayesian Inference for Radio Observations

Resolving the blazar CGRaBS J0809+5341 in the presence of telescope systematics

KERN

Radio galaxy shape measurement with Hamiltonian Monte Carlo in the visibility domain

Radio galaxy detection in the visibility domain


Various public documents, whitepapers and articles about APT campaigns

HOLMES: Real-time APT Detection through Correlation of Suspicious Information Flows

SLEUTH: Real-time Attack Scenario Reconstruction from COTS Audit Data

Hiding in Plain Sight: A Longitudinal Study of Combosquatting Abuse

SecureBERT: A Domain-Specific Language Model for Cybersecurity

Detecting C&C Server in the APT Attack based on Network Traffic using Machine Learning

International Journal of Advanced Computer Science and Applications

AULD: Large Scale Suspicious DNS Activities Detection via Unsupervised Learning in Advanced Persistent Threats


Worldwide building footprints derived from satellite imagery

EUBUCCO v0.1: European building stock characteristics in a common and open database for 200+ million individual buildings

Building Coverage Estimation with Low-resolution Remote Sensing Imagery

Spatially explicit accuracy assessment of deep learning-based, fine-resolution built-up land data in the United States

GLAMOUR: GLobAl building MOrphology dataset for URban hydroclimate modelling


Data validation using Python type hints

OPTIMADE, an API for exchanging materials data

Unsupervised Evaluation of Code LLMs with Round-Trip Correctness

MAIRA-2: Grounded Radiology Report Generation

PhysiCOOL: A generalized framework for model Calibration and Optimization Of modeLing projects

Pyra: Automated EM27/SUN Greenhouse Gas Measurement Software

AlabOS: A Python-based Reconfigurable Workflow Management Framework for
  Autonomous Laboratories

HEIDI: an experiment-management platform enabling high-throughput fragment and compound screening

Acta crystallographica. Section D, Structural biology

CoRL: Environment Creation and Management Focused on System Integration


The complete set of tools for energy consumption analysis of programming languages, using Computer Language Benchmark Game

Evaluation of Rust code verbosity, understandability and complexity


A framework for using LSTMs to detect anomalies in multivariate time series data. Includes spacecraft anomaly data and experiments from the Mars Science Laboratory and SMAP missions.

Deep Learning for Anomaly Detection: A Survey

Detecting Spacecraft Anomalies Using LSTMs and Nonparametric Dynamic Thresholding

A review on outlier/anomaly detection in time series data

TranAD: Deep Transformer Networks for Anomaly Detection in Multivariate Time Series Data

An Evaluation of Anomaly Detection and Diagnosis in Multivariate Time Series

IEEE transactions on neural networks and learning systems

Deep Learning-Based Anomaly Detection in Cyber-Physical Systems: Progress and Opportunities

Unsupervised Time Series Outlier Detection with Diversity-Driven Convolutional Ensembles -- Extended Version

Combining OC-SVMs With LSTM for Detecting Anomalies in Telemetry Data With Irregular Intervals

AER: Auto-Encoder with Regression for Time Series Anomaly Detection

Sintel: A Machine Learning Framework to Extract Insights from Signals

Proceedings of the 2022 International Conference on Management of Data


hybrid assembly pipeline for bacterial genomes

Unicycler: Resolving bacterial genome assemblies from short and long sequencing reads

MOB-suite: software tools for clustering, reconstruction and typing of plasmids from draft assemblies

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

Antimicrobial resistance and population genomics of multidrug-resistant Escherichia coli in pig farms in mainland China

HASLR: Fast Hybrid Assembly of Long Reads

WHO Critical Priority Escherichia coli as One Health Challenge for a Post-Pandemic Scenario: Genomic Surveillance and Analysis of Current Trends in Brazil

Evolution of a clade of Acinetobacter baumannii global clone 1, lineage 1 via acquisition of carbapenem- and aminoglycoside-resistance genes and dispersion of ISAba1

Detection of Streptococcus pyogenes M1UK in Australia and characterization of the mutation driving enhanced expression of superantigen SpeA

Genome-Based Analysis of Klebsiella spp. Isolates from Animals and Food Products in Germany, 2013–2017

Emergence of Meropenem Resistance Among Cefotaxime Non-susceptible Streptococcus pneumoniae: Evidence and Challenges


ATAC-seq and DNase-seq processing pipeline

Cell-type-specific 3D epigenomes in the developing human cortex

A compendium and comparative epigenomics analysis of cis-regulatory elements in the pig genome

Unsupervised clustering and epigenetic classification of single cells

Accurate prediction of cell type-specific transcription factor binding

TRPS1 shapes YAP/TEAD-dependent transcription in breast cancer cells

GimmeMotifs: an analysis framework for transcription factor motif analysis

An atlas of transcriptional, chromatin accessibility, and surface marker changes in human mesoderm development

Modulating Androgen Receptor-Driven Transcription in Prostate Cancer with Selective CDK9 Inhibitors

Chromatin Accessibility Impacts Transcriptional Reprogramming in Oocytes

Dynamic reversal of random X-Chromosome inactivation during iPSC reprogramming


Workflows for Fission: Fast, reliable and lightweight function composition for serverless functions

The Serverless Computing Survey: A Technical Primer for Design Architecture

In Search of a Fast and Efficient Serverless DAG Engine

The AtLarge Vision on the Design of Distributed Systems and Ecosystems

Efficiency in the Serverless Cloud Computing Paradigm: A Survey Study.

DataFlower: Exploiting the Data-flow Paradigm for Serverless Workflow Orchestration


Implementation and experiments  of graph embedding algorithms.

node2vec: Scalable Feature Learning for Networks

DeepWalk: Online Learning of Social Representations

PROCEEDINGS OF THE 20TH ACM SIGKDD INTERNATIONAL CONFERENCE ON KNOWLEDGE DISCOVERY AND DATA MINING (KDD'14)

LINE: Large-scale Information Network Embedding

Structural Deep Network Embedding

struc2vec: Learning Node Representations from Structural Identity

Seven-Layer Model in Complex Networks Link Prediction: A Survey

GRAPE for Fast and Scalable Graph Processing and random walk-based Embedding

Network representation learning systematic review: ancestors and current development state

Better with Less: A Data-Active Perspective on Pre-Training Graph Neural Networks

Unsupervised Network Embedding Beyond Homophily


[ICLR 2023] Official implementation of the paper "DINO: DETR with Improved DeNoising Anchor Boxes for End-to-End Object Detection"

DN-DETR: Accelerate DETR Training by Introducing Query DeNoising

Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation

FineBio: A Fine-Grained Video Dataset of Biological Experiments with
  Hierarchical Annotation


Reconnaissance tool for GitHub organizations

What are the Practices for Secret Management in Software Artifacts?

Secrets Revealed in Container Images: An Internet-wide Study on Occurrence and Impact

Proceedings of the ACM Asia Conference on Computer and Communications Security

What Challenges Do Developers Face About Checked-in Secrets in Software Artifacts?

A Comparative Study of Software Secrets Reporting by Secret Detection Tools


pycallgraph is a Python module that creates call graphs for Python programs.

PyCG: Practical Call Graph Generation in Python

Toward Efficient Interactions between Python and Native Libraries

PROCEEDINGS OF THE 29TH ACM JOINT MEETING ON EUROPEAN SOFTWARE ENGINEERING CONFERENCE AND SYMPOSIUM ON THE FOUNDATIONS OF SOFTWARE ENGINEERING (ESEC/FSE '21)

Context-Aware Code Generation Framework for Code Repositories: Local, Global, and Third-Party Library Awareness


An open-source NLP research library, built on PyTorch.

GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Language Models as Knowledge Bases?

Pre-trained models for natural language processing: A survey

AllenNLP: A Deep Semantic Natural Language Processing Platform

Annotation Artifacts in Natural Language Inference Data

GPT-NeoX-20B: An Open-Source Autoregressive Language Model

ELI5: Long Form Question Answering

Double Embeddings and CNN-based Sequence Labeling for Aspect Extraction

Automated Concatenation of Embeddings for Structured Prediction

From Zero to Hero: On the Limitations of Zero-Shot Language Transfer with Multilingual Transformers

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


Feedforward style transfer

Instance Normalization: The Missing Ingredient for Fast Stylization

Generating Adversarial Examples with Adversarial Networks

Demystifying Neural Style Transfer

Controlling Perceptual Factors in Neural Style Transfer

Artistic Style Transfer for Videos and Spherical Images

International Journal of Computer Vision

Disentangling Propagation and Generation for Video Prediction

NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night

Face beautification: Beyond makeup transfer

A Pragmatic AI Approach to Creating Artistic Visual Variations by Neural Style Transfer

Frame Difference-Based Temporal Loss for Video Stylization


Open-Unmix - Music Source Separation for PyTorch

Open-Unmix - A Reference Implementation for Music Source Separation

Investigating U-Nets with various Intermediate Blocks for Spectrogram-based Singing Voice Separation

On loss functions and evaluation metrics for music source separation

Benchmarks and leaderboards for sound demixing tasks

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


Benchmark suite of test functions suitable for evaluating black-box optimization strategies

Optuna: A Next-generation Hyperparameter Optimization Framework

A Stratified Analysis of Bayesian Optimization Methods

Evaluation System for a Bayesian Optimization Service

Modulating Surrogates for Bayesian Optimization

Sequential Preference-Based Optimization


Neural network visualization toolkit for keras

iNNvestigate neural networks!

Big-Data Science in Porous Materials: Materials Genomics and Machine Learning

Predicting EGFR mutation status in lung adenocarcinoma on computed tomography image using deep learning

DeepCOVID-XR: An Artificial Intelligence Algorithm to Detect COVID-19 on Chest Radiographs Trained and Tested on a Large U.S. Clinical Data Set

Training confounder-free deep learning models for medical applications

Training deep neural networks for binary communication with the Whetstone method

Real-time pollen monitoring using digital holography

A deep learning approach to programmable RNA switches

Convolutional Neural Networks for Neuroimaging in Parkinson's Disease: Is Preprocessing Needed?

Human-grounded Evaluations of Explanation Methods for Text Classification


Bamboo see https://github.com/cornellblockchain/bamboo

A Survey on Ethereum Systems Security: Vulnerabilities, Attacks, and Defenses

Scilla: a Smart Contract Intermediate-Level LAnguage

Safer smart contract programming with Scilla

Proceedings of the ACM on Programming Languages

A Generalized Formal Semantic Framework for Smart Contracts

Mandala: A Smart Contract Programming Language


Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

Cyclical Learning Rates for Training Neural Networks

Convolutional Neural Networks for Image-Based High-Throughput Plant Phenotyping: A Review

Memory-Efficient Implementation of DenseNets

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

Deep Expander Networks: Efficient Deep Networks from Graph Theory

Automatic Sparse Connectivity Learning for Neural Networks

Backbones-Review: Feature Extraction Networks for Deep Learning and Deep Reinforcement Learning Approaches

Log-DenseNet: How to Sparsify a DenseNet

Osteolysis: A Literature Review of Basic Science and Potential Computer-Based Image Processing Detection Methods

Computational intelligence and neuroscience


Open-source implementation of Google Vizier for hyper parameters tuning

Google Vizier: A Service for Black-Box Optimization

Hyper-Parameter Optimization: A Review of Algorithms and Applications

Benchmark and Survey of Automated Machine Learning Frameworks

Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better

AutoML to Date and Beyond: Challenges and Opportunities

Survey on Automated Machine Learning.

Open Source Vizier: Distributed Infrastructure and API for Reliable and Flexible Blackbox Optimization

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

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


aeneas is a Python/C library and a set of tools to automagically synchronize audio and text (aka forced alignment)

What You Say and How You Say It Matters: Predicting Stock Volatility Using Verbal and Vocal Cues

Meeting of the Association for Computational Linguistics

VolTAGE: Volatility Forecasting via Text Audio Fusion with Graph Convolution Networks for Earnings Calls

LibriVoxDeEn: A Corpus for German-to-English Speech Translation and German Speech Recognition

Learning to Detect Bipolar Disorder and Borderline Personality Disorder with Language and Speech in Non-Clinical Interviews

M-Arg: Multimodal Argument Mining Dataset for Political Debates with Audio and Transcripts

Multimodal Argument Mining: A Case Study in Political Debates

Development and Evaluation of Speech Synthesis System Based on Deep Learning Models

BERT, can HE predict contrastive focus? Predicting and controlling prominence in neural TTS using a language model

Creation and Detection of German Voice Deepfakes

ManaTTS Persian: a recipe for creating TTS datasets for lower resource languages


Python PDF Parser (Not actively maintained). Check out pdfminer.six.

PubLayNet: largest dataset ever for document layout analysis

Efficient Attentions for Long Document Summarization

DocBank: A Benchmark Dataset for Document Layout Analysis

IcoRating: A Deep-Learning System for Scam ICO Identification

Figure and caption extraction from biomedical documents

VILA: Improving Structured Content Extraction from Scientific PDFs Using Visual Layout Groups

No Data to Crawl? Monolingual Corpus Creation from PDF Files of Truly low-Resource Languages in Peru

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

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

Identification of Scams in Initial Coin Offerings With Machine Learning

A Dataset of Alt Texts from HCI Publications

Proceedings of the 24th International ACM SIGACCESS Conference on Computers and Accessibility


Transparent file encryption in git

What are the Practices for Secret Management in Software Artifacts?

What Challenges Do Developers Face About Checked-in Secrets in Software Artifacts?

Combining Usability and Privacy Protection in Free-Access Public Cloud Storage Servers: Review of the Main Threats and Challenges


The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Deep High-Resolution Representation Learning for Human Pose Estimation

Deep High-Resolution Representation Learning for Visual Recognition

High-Resolution Representations for Labeling Pixels and Regions

Segmentation Transformer: Object-Contextual Representations for Semantic Segmentation

Multi-Scale Context Aggregation for Semantic Segmentation of Remote Sensing Images

CaDIS: Cataract Dataset for Image Segmentation

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

PyMIC: A deep learning toolkit for annotation-efficient medical image segmentation

FP8 versus INT8 for efficient deep learning inference

Contour Transformer Network for One-Shot Segmentation of Anatomical Structures


Utilities and scripts for working with NEON data. Currently: an R package with functions to join (stack) the month-by-site files in downloaded NEON data, to convert data to geoCSV format, and to download data from the API.

The NEON Daily Isotopic Composition of Environmental Exchanges Dataset


A self-driving car simulator built with Unity

Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles

Testing machine learning based systems: a systematic mapping

Zenodo (CERN European Organization for Nuclear Research)

MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learning

Minimum Error Entropy Kalman Filter

Efficient Decentralized Deep Learning by Dynamic Model Averaging

An End-to-End Deep Neural Network for Autonomous Driving Designed for Embedded Automotive Platforms

A Survey on Automated Driving System Testing: Landscapes and Trends

The Atari Grand Challenge Dataset

Review on Vehicle Detection Technology for Unmanned Ground Vehicles

DeepGuard: a framework for safeguarding autonomous driving systems from inconsistent behaviour


An open source python library for scalable Bayesian optimisation.

Tuning Hyperparameters without Grad Students: Scalable and Robust Bayesian Optimisation with Dragonfly

A Flexible Framework for Multi-Objective Bayesian Optimization using Random Scalarizations

Re-Examining Linear Embeddings for High-Dimensional Bayesian Optimization

Bayesian Optimization of Computer-Proposed Multistep Synthetic Routes on an Automated Robotic Flow Platform

HEBO Pushing The Limits of Sample-Efficient Hyperparameter Optimisation

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

Predicting 3D genome folding from DNA sequence

Supervising the Multi-Fidelity Race of Hyperparameter Configurations

Bayesian Optimisation for Sequential Experimental Design with Applications in Additive Manufacturing

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


LuCI - OpenWrt Configuration Interface

Injection Attacks Reloaded: Tunnelling Malicious Payloads over DNS

HALE-IoT: Hardening Legacy Internet of Things Devices by Retrofitting Defensive Firmware Modifications and Implants

Feature-Sniffer: Enabling IoT Forensics in OpenWrt based Wi-Fi Access Points


QR decoder library

Identification of QR Code Perspective Distortion Based on Edge Directions and Edge Projections Analysis

Eyes of Things

Transducer Electronic Data Sheets: Anywhere, Anytime, Anyway

Building a Privacy-Preserving Smart Camera System

Privacy-Preserving Protocols for Smart Cameras and Other IoT Devices


Computer vision assisted tool to extract numerical data from plot images.

Quantifying antibody kinetics and RNA detection during early-phase SARS-CoV-2 infection by time since symptom onset

Expanded dataset of mechanical properties and observed phases of multi-principal element alloys

Global karst springs hydrograph dataset for research and management of the world’s fastest-flowing groundwater

Autonomous and Semiautonomous Intersection Management: A Survey

IEEE Intelligent Transportation Systems Magazine

Updated constraints on axion-like particles from temporal information in supernova SN1987A gamma-ray data

A Physiology-Based Model of Human Bile Acid Metabolism for Predicting Bile Acid Tissue Levels After Drug Administration in Healthy Subjects and BRIC Type 2 Patients

The Mantis Network. IV. A titanium cold trap on the ultra-hot Jupiter WASP-121 b

Skeptic: Automatic, Justified and Privacy-Preserving Password Composition Policy Selection

A systematic review and meta-analysis of pathogen reduction in onsite sanitation systems

Reconnaissance with JWST of the J-region Asymptotic Giant Branch in Distance Ladder Galaxies: From Irregular Luminosity Functions to Approximation of the Hubble Constant


Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans

Efficient multi-scale 3D CNN with fully connected CRF for accurate brain lesion segmentation

Artificial intelligence in cancer imaging: Clinical challenges and applications

HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation

White matter hyperintensity and stroke lesion segmentation and differentiation using convolutional neural networks

Deep Learning Based Brain Tumor Segmentation: A Survey

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Deep Learning–Based Detection of Intracranial Aneurysms in 3D TOF-MRA

Reverse Classification Accuracy: Predicting Segmentation Performance in the Absence of Ground Truth

Clinical implementation of MRI-based organs-at-risk auto-segmentation with convolutional networks for prostate radiotherapy

A multi-path 2.5 dimensional convolutional neural network system for segmenting stroke lesions in brain MRI images


A Python API for Botometer by OSoMe

The Rise of Social Bots

BotOrNot: A System to Evaluate Social Bots

Analyzing the Digital Traces of Political Manipulation: The 2016 Russian Interference Twitter Campaign

International Conference on Advances in Social Networks Analysis and Mining

Scalable and Generalizable Social Bot Detection through Data Selection

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

Arming the public with artificial intelligence to counter social bots

Detection of Novel Social Bots by Ensembles of Specialized Classifiers

International Conference on Information and Knowledge Management

Who Falls for Online Political Manipulation?

Botometer 101: social bot practicum for computational social scientists

Why do people oppose mask wearing? A comprehensive analysis of U.S. tweets during the COVID-19 pandemic

Journal of the American Medical Informatics Association : JAMIA

An Analysis of the Twitter Discussion on the 2016 Austrian Presidential Elections


Higgs JavaScript Virtual Machine

Simple and Effective Type Check Removal through Lazy Basic Block Versioning

Extending Basic Block Versioning with Typed Object Shapes

Amalgamating different JIT compilations in a meta-tracing JIT compiler framework


CodeGen is a family of open-source model for program synthesis. Trained on TPU-v4. Competitive with OpenAI Codex.

CodeGen: An Open Large Language Model for Code with Multi-Turn Program Synthesis

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

CodeGen2: Lessons for Training LLMs on Programming and Natural Languages

Capturing Failures of Large Language Models via Human Cognitive Biases

Natural Language to Code Generation in Interactive Data Science Notebooks

Understanding LLMs: A Comprehensive Overview from Training to Inference

Law Informs Code: A Legal Informatics Approach to Aligning Artificial Intelligence with Humans

A Survey on Large Language Models for Software Engineering

When LLMs Meet Cybersecurity: A Systematic Literature Review

A Simple, Yet Effective Approach to Finding Biases in Code Generation


A library for developing deep generative models in a more concise, intuitive and extendable way

Neuro-SERKET: Development of Integrative Cognitive System Through the Composition of Deep Probabilistic Generative Models

The whole brain architecture approach: Accelerating the development of artificial general intelligence by referring to the brain

Multimodal Variational Autoencoders for Semi-Supervised Learning: In Defense of Product-of-Experts


:herb: 中文近义词：聊天机器人，智能问答工具包

Pre-Training with Whole Word Masking for Chinese BERT

Fine-grained Event Categorization with Heterogeneous Graph Convolutional Networks

RoCBert: Robust Chinese Bert with Multimodal Contrastive Pretraining

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

BERT Enhanced Neural Machine Translation and Sequence Tagging Model for Chinese Grammatical Error Diagnosis

GrammarGPT: Exploring Open-Source LLMs for Native Chinese Grammatical Error Correction with Supervised Fine-Tuning

A Mobile-Based Question-Answering and Early Warning System for Assisting Diabetes Management

Wireless Communications and Mobile Computing

A Hybrid System for NLPTEA-2020 CGED Shared Task

StyleBERT: Chinese pretraining by font style information

From Text to Sound: A Preliminary Study on Retrieving Sound Effects to Radio Stories

Reconstruction of ER Network from Specific Academic Texts for the Governance of MSW-NIMBY Crisis in China


GLM (General Language Model)

The Pile: An 800GB Dataset of Diverse Text for Language Modeling

GLM: General Language Model Pretraining with Autoregressive Blank Infilling

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

GPT Understands, Too

DeepStruct: Pretraining of Language Models for Structure Prediction

FewNLU: Benchmarking State-of-the-Art Methods for Few-Shot Natural Language Understanding

Understanding LLMs: A Comprehensive Overview from Training to Inference

GKD: A General Knowledge Distillation Framework for Large-scale Pre-trained Language Model


A random SQL query generator

SQUIRREL: Testing Database Management Systems with Language Validity and Coverage Feedback

Detecting optimization bugs in database engines via non-optimizing reference engine construction

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

Finding bugs in database systems via query partitioning

On the unusual effectiveness of type-aware operator mutations for testing SMT solvers

Industry Practice of Coverage-Guided Enterprise-Level DBMS Fuzzing

Data-Oriented Differential Testing of Object-Relational Mapping Systems

Testing Database Engines via Query Plan Guidance

Testing Very Large Database Management Systems: The Case of SAP HANA

Perfce: Performance Debugging on Databases with Chaos Engineering-Enhanced Causality Analysis

Testing DBMS Performance with Mutations


Fuente de datos de los reportajes y proyectos de periodismo de investigación y datos de DATADISTA

A modified SEIR model to predict the COVID-19 outbreak in Spain and Italy: Simulating control scenarios and multi-scale epidemics

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

Covid-19: Open-Data Resources for Monitoring, Modeling, and Forecasting the Epidemic

Data and code release for Carleton, Cornetet, Huybers, Meng & Proctor (forthcoming, PNAS), "Global evidence for ultraviolet radiation decreasing COVID-19 growth rates"

A Bayesian - Deep Learning model for estimating Covid-19 evolution in Spain

A hierarchical spatio-temporal model to analyze relative risk variations of COVID-19: a focus on Spain, Italy and Germany

Stochastic environmental research and risk assessment : research journal

Open Data Resources for Fighting COVID-19

Factores asociados a la incidencia y la mortalidad por COVID-19 en las comunidades autónomas

Monitoring and Analysis of COVID-19 Pandemic: The Need for an Empirical Approach

A scaling approach to estimate the age-dependent COVID-19 infection fatality ratio from incomplete data


This repo contains implementation of different architectures for emotion recognition in conversations.

DialogueRNN: An Attentive RNN for Emotion Detection in Conversations

Conversational Memory Network for Emotion Recognition in Dyadic Dialogue Videos

North American Chapter of the Association for Computational Linguistics

Emotion Recognition in Conversation: Research Challenges, Datasets, and Recent Advances

ICON: Interactive Conversational Memory Network for Multimodal Emotion Detection

Empirical Methods in Natural Language Processing

COSMIC: COmmonSense knowledge for eMotion Identification in Conversations

Real-Time Emotion Recognition via Attention Gated Hierarchical Memory Network

Conversational Transfer Learning for Emotion Recognition

DCR-Net: A Deep Co-Interactive Relation Network for Joint Dialog Act Recognition and Sentiment Classification

Multi-Modal Sarcasm Detection and Humor Classification in Code-Mixed Conversations

IEEE Transactions on Affective Computing

An Iterative Emotion Interaction Network for Emotion Recognition in Conversations

International Conference on Computational Linguistics


A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

BayesSim: adaptive domain randomization via probabilistic inference for robotics simulators

Action Space Shaping in Deep Reinforcement Learning

Scalable Bayesian Inverse Reinforcement Learning

Strictly Batch Imitation Learning by Energy-based Distribution Matching

Smooth Exploration for Robotic Reinforcement Learning

Diffusion-based Reinforcement Learning for Edge-enabled AI-Generated Content Services

Certifiable Robustness to Adversarial State Uncertainty in Deep Reinforcement Learning

Invariant Causal Imitation Learning for Generalizable Policies

Deep Reinforcement Learning

Policy Learning Using Weak Supervision


SemanticVectors creates semantic WordSpace models from free natural language text.

A Tale of Two Perplexities: Sensitivity of Neural Language Models to Lexical Retrieval Deficits in Dementia of the Alzheimer's Type

Improving average ranking precision in user searches for biomedical research datasets

Bringing Order to Neural Word Embeddings with Embeddings Augmented by Random Permutations (EARP)

Conference on Computational Natural Language Learning

Learning from Hypervectors: A Survey on Hypervector Encoding

Improving Biomedical Analogical Retrieval with Embedding of Structural Dependencies

Workshop on Biomedical Natural Language Processing

Replicating Relevance-Ranked Synonym Discovery in a New Language and Domain

Retrofitting Vector Representations of Adverse Event Reporting Data to Structured Knowledge to Improve Pharmacovigilance Signal Detection


detect demographic differences in the output of machine learning models or other assessments

On Fairness and Calibration

Fairness in Machine Learning: A Survey

What does it mean to solve the problem of discrimination in hiring? Social, technical and legal perspectives from the UK on automated hiring systems

An Introduction to Ethics in Robotics and AI

Seeing Like a Toolkit: How Toolkits Envision the Work of AI Ethics

LiFT: A Scalable Framework for Measuring Fairness in ML Applications

Educating Software and AI Stakeholders About Algorithmic Fairness, Accountability, Transparency and Ethics

International Journal of Artificial Intelligence in Education

Awareness in Practice: Tensions in Access to Sensitive Attribute Data for Antidiscrimination

Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency

A Framework for Fairness: A Systematic Review of Existing Fair AI Solutions

Visual Auditor: Interactive Visualization for Detection and Summarization of Model Biases