7921 Repositories
Python Deep-Learning-Models-for-Network-Annomaly-Detection Libraries
A PyTorch based deep learning library for drug pair scoring.
Documentation | External Resources | Datasets | Examples ChemicalX is a deep learning library for drug-drug interaction, polypharmacy side effect and
Training deep models using anime, illustration images.
animeface deep models for anime images. Datasets anime-face-dataset Anime faces collected from Getchu.com. Based on Mckinsey666's dataset. 63.6K image
A PyTorch-based model pruning toolkit for pre-trained language models
English | 中文说明 TextPruner是一个为预训练语言模型设计的模型裁剪工具包,通过轻量、快速的裁剪方法对模型进行结构化剪枝,从而实现压缩模型体积、提升模型速度。 其他相关资源: 知识蒸馏工具TextBrewer:https://github.com/airaria/TextBrewe
Functional deep learning
Pipeline abstractions for deep learning. Full documentation here: https://lf1-io.github.io/padl/ PADL: is a pipeline builder for PyTorch. may be used
A full pipeline AutoML tool for tabular data
HyperGBM Doc | 中文 We Are Hiring! Dear folks,we are offering challenging opportunities located in Beijing for both professionals and students who are k
ChainerRL is a deep reinforcement learning library built on top of Chainer.
ChainerRL and PFRL ChainerRL (this repository) is a deep reinforcement learning library that implements various state-of-the-art deep reinforcement al
Deep Reinforcement Learning for Keras.
Deep Reinforcement Learning for Keras What is it? keras-rl implements some state-of-the art deep reinforcement learning algorithms in Python and seaml
Exploring Simple Siamese Representation Learning
G-SimSiam A PyTorch implementation which refers to repo for the paper Exploring Simple Siamese Representation Learning by Xinlei Chen & Kaiming He Add
A library that allows for inference on probabilistic models
Bean Machine Overview Bean Machine is a probabilistic programming language for inference over statistical models written in the Python language using
A curated list of resources dedicated to reinforcement learning applied to cyber security.
Awesome Reinforcement Learning for Cyber Security A curated list of resources dedicated to reinforcement learning applied to cyber security. Note that
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
CyberBattleSim April 8th, 2021: See the announcement on the Microsoft Security Blog. CyberBattleSim is an experimentation research platform to investi
Feature Store for Machine Learning
Overview Feast is an open source feature store for machine learning. Feast is the fastest path to productionizing analytic data for model training and
InverseRenderNet: Learning single image inverse rendering, CVPR 2019.
InverseRenderNet: Learning single image inverse rendering !! Check out our new work InverseRenderNet++ paper and code, which improves the inverse rend
[CVPR 2020] Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation
Contents Local and Global GAN Cross-View Image Translation Semantic Image Synthesis Acknowledgments Related Projects Citation Contributions Collaborat
[CVPR 2019 Oral] Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation
SelectionGAN for Guided Image-to-Image Translation CVPR Paper | Extended Paper | Guided-I2I-Translation-Papers Citation If you use this code for your
This repository contains the source codes for the paper AtlasNet V2 - Learning Elementary Structures.
AtlasNet V2 - Learning Elementary Structures This work was build upon Thibault Groueix's AtlasNet and 3D-CODED projects. (you might want to have a loo
Project repo for Learning Category-Specific Mesh Reconstruction from Image Collections
Learning Category-Specific Mesh Reconstruction from Image Collections Angjoo Kanazawa*, Shubham Tulsiani*, Alexei A. Efros, Jitendra Malik University
AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation
AtlasNet [Project Page] [Paper] [Talk] AtlasNet: A Papier-Mâché Approach to Learning 3D Surface Generation Thibault Groueix, Matthew Fisher, Vladimir
Learning 3D Part Assembly from a Single Image
Learning 3D Part Assembly from a Single Image This repository contains a PyTorch implementation of the paper: Learning 3D Part Assembly from A Single
Open source repository for the code accompanying the paper 'PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations'.
PatchNets This is the official repository for the project "PatchNets: Patch-Based Generalizable Deep Implicit 3D Shape Representations". For details,
[ECCV'20] Convolutional Occupancy Networks
Convolutional Occupancy Networks Paper | Supplementary | Video | Teaser Video | Project Page | Blog Post This repository contains the implementation o
Neural Contours: Learning to Draw Lines from 3D Shapes (CVPR2020)
Neural Contours: Learning to Draw Lines from 3D Shapes This repository contains the PyTorch implementation for CVPR 2020 Paper "Neural Contours: Learn
Learning View Priors for Single-view 3D Reconstruction (CVPR 2019)
Learning View Priors for Single-view 3D Reconstruction (CVPR 2019) This is code for a paper Learning View Priors for Single-view 3D Reconstruction by
The code for paper "Learning Implicit Fields for Generative Shape Modeling".
implicit-decoder The tensorflow code for paper "Learning Implicit Fields for Generative Shape Modeling", Zhiqin Chen, Hao (Richard) Zhang. Project pag
Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019.
VCN: Volumetric correspondence networks for optical flow [project website] Requirements python 3.6 pytorch 1.1.0-1.3.0 pytorch correlation module (opt
Learning from Synthetic Humans, CVPR 2017
Learning from Synthetic Humans (SURREAL) Gül Varol, Javier Romero, Xavier Martin, Naureen Mahmood, Michael J. Black, Ivan Laptev and Cordelia Schmid,
3D Human Pose Machines with Self-supervised Learning
3D Human Pose Machines with Self-supervised Learning Keze Wang, Liang Lin, Chenhan Jiang, Chen Qian, and Pengxu Wei, “3D Human Pose Machines with Self
The authors' implementation of Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations
Unsupervised Adversarial Learning of 3D Human Pose from 2D Joint Locations This is the authors' implementation of Unsupervised Adversarial Learning of
3D HourGlass Networks for Human Pose Estimation Through Videos
3D-HourGlass-Network 3D CNN Based Hourglass Network for Human Pose Estimation (3D Human Pose) from videos. This was my summer'18 research project. Dis
The code written during my Bachelor Thesis "Classification of Human Whole-Body Motion using Hidden Markov Models".
This code was written during the course of my Bachelor thesis Classification of Human Whole-Body Motion using Hidden Markov Models. Some things might
A motion detection system with RaspberryPi, OpenCV, Python
Human Detection System using Raspberry Pi Functionality Activates a relay on detecting motion. You may need following components to get the expected R
Training PyTorch models with differential privacy
Opacus is a library that enables training PyTorch models with differential privacy. It supports training with minimal code changes required on the cli
A game developed while learning python
Alien_Invasion a game developed while learning python you must have python-3 installed in your computer. and pygame module is also required for this.
A deep learning network built with TensorFlow and Keras to classify gender and estimate age.
Convolutional Neural Network (CNN). This repository contains a source code of a deep learning network built with TensorFlow and Keras to classify gend
Automatic detection and classification of Covid severity degree in LUS (lung ultrasound) scans
Final-Project Final project in the Technion, Biomedical faculty, by Mor Ventura, Dekel Brav & Omri Magen. Subproject 1: Automatic Detection of LUS Cha
Computer vision - fun segmentation experience using classic and deep tools :)
Computer_Vision_Segmentation_Fun Segmentation of Images and Video. Tools: pytorch Models: Classic model - GrabCut Deep model - Deeplabv3_resnet101 Flo
[CoRL 21'] TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo
TANDEM: Tracking and Dense Mapping in Real-time using Deep Multi-view Stereo Lukas Koestler1* Nan Yang1,2*,† Niclas Zeller2,3 Daniel Cremers1
Healthsea is a spaCy pipeline for analyzing user reviews of supplementary products for their effects on health.
Welcome to Healthsea ✨ Create better access to health with spaCy. Healthsea is a pipeline for analyzing user reviews to supplement products by extract
Official code for "On the Frequency Bias of Generative Models", NeurIPS 2021
Frequency Bias of Generative Models Generator Testbed Discriminator Testbed This repository contains official code for the paper On the Frequency Bias
WORD: Revisiting Organs Segmentation in the Whole Abdominal Region
WORD: Revisiting Organs Segmentation in the Whole Abdominal Region (Paper and DataSet). [New] Note that all the emails about the download permission o
Yuno is context based search engine for anime.
Yuno yuno.mp4 Table of Contents Introduction Power Of Yuno Try Yuno How Yuno was created? References Introduction Yuno is a context based search engin
DaProfiler allows you to get emails, social medias, adresses, works and more on your target using web scraping and google dorking techniques
DaProfiler allows you to get emails, social medias, adresses, works and more on your target using web scraping and google dorking techniques, based in France Only. The particularity of this program is its ability to find your target's e-mail adresses.
This is the implementation of GGHL (A General Gaussian Heatmap Labeling for Arbitrary-Oriented Object Detection)
GGHL: A General Gaussian Heatmap Labeling for Arbitrary-Oriented Object Detection This is the implementation of GGHL 👋 👋 👋 [Arxiv] [Google Drive][B
Build Low Code Automated Tensorflow, What-IF explainable models in just 3 lines of code.
Build Low Code Automated Tensorflow explainable models in just 3 lines of code.
I hacked my own webcam from a Kali Linux VM in my local network, using Ettercap to do the MiTM ARP poisoning attack, sniffing with Wireshark, and using metasploit
plan I - Linux Fundamentals Les utilisateurs et les droits Installer des programmes avec apt-get Surveiller l'activité du système Exécuter des program
A Re-implementation of the paper "A Deep Learning Framework for Character Motion Synthesis and Editing"
What is This This is a simple re-implementation of the paper "A Deep Learning Framework for Character Motion Synthesis and Editing"(1). Only Sections
Adversarial Learning for Modeling Human Motion
Adversarial Learning for Modeling Human Motion This repository contains the open source code which reproduces the results for the paper: Adversarial l
An implementation of "Learning human behaviors from motion capture by adversarial imitation"
Merel-MoCap-GAIL An implementation of Merel et al.'s paper on generative adversarial imitation learning (GAIL) using motion capture (MoCap) data: Lear
PyTorch implementation of Deep HDR Imaging via A Non-Local Network (TIP 2020).
NHDRRNet-PyTorch This is the PyTorch implementation of Deep HDR Imaging via A Non-Local Network (TIP 2020). 0. Differences between Original Paper and
Sub-Cluster AdaCos: Learning Representations for Anomalous Sound Detection.
Accompanying code for the paper Sub-Cluster AdaCos: Learning Representations for Anomalous Sound Detection.
Complete system for facial identity system. Include one-shot model, database operation, features visualization, monitoring
Complete system for facial identity system. Include one-shot model, database operation, features visualization, monitoring
An algorithm to reach a correlated equilibrium in multiplayer games.
Correlatedpy: a python library for distributed learning of correlated equilibrium in multiplayer strategic games. View Demo · Report Bug · Request Fea
scikit-learn models hyperparameters tuning and feature selection, using evolutionary algorithms.
Sklearn-genetic-opt scikit-learn models hyperparameters tuning and feature selection, using evolutionary algorithms. This is meant to be an alternativ
Automatically remove the mosaics in images and videos, or add mosaics to them.
Automatically remove the mosaics in images and videos, or add mosaics to them.
BERT, LDA, and TFIDF based keyword extraction in Python
BERT, LDA, and TFIDF based keyword extraction in Python kwx is a toolkit for multilingual keyword extraction based on Google's BERT and Latent Dirichl
Robotics with GPU computing
Robotics with GPU computing Cupoch is a library that implements rapid 3D data processing for robotics using CUDA. The goal of this library is to imple
BERT-based Financial Question Answering System
BERT-based Financial Question Answering System In this example, we use Jina, PyTorch, and Hugging Face transformers to build a production-ready BERT-b
A webcam-based 3x3x3 rubik's cube solver written in Python 3 and OpenCV.
Qbr Qbr, pronounced as Cuber, is a webcam-based 3x3x3 rubik's cube solver written in Python 3 and OpenCV. 🌈 Accurate color detection 🔍 Accurate 3x3x
Official code repository for "Exploring Neural Models for Query-Focused Summarization"
Query-Focused Summarization Official code repository for "Exploring Neural Models for Query-Focused Summarization" This is a work in progress. Expect
A powerful framework for decentralized federated learning with user-defined communication topology
Scatterbrained Decentralized Federated Learning Scatterbrained makes it easy to build federated learning systems. In addition to traditional federated
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning
Conservative and Adaptive Penalty for Model-Based Safe Reinforcement Learning This is the official repository for Conservative and Adaptive Penalty fo
Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains
Lex Rosetta: Transfer of Predictive Models Across Languages, Jurisdictions, and Legal Domains This is an accompanying repository to the ICAIL 2021 pap
Simulation-based performance analysis of server-less Blockchain-enabled Federated Learning
Blockchain-enabled Server-less Federated Learning Repository containing the files used to reproduce the results of the publication "Blockchain-enabled
Codes for building and training the neural network model described in Domain-informed neural networks for interaction localization within astroparticle experiments.
Domain-informed Neural Networks Codes for building and training the neural network model described in Domain-informed neural networks for interaction
Cognate Detection Repository
Cognate Detection Repository Details This repository contains the data for two publications: Challenge Dataset of Cognates and False Friend Pairs from
"Learning and Analyzing Generation Order for Undirected Sequence Models" in Findings of EMNLP, 2021
undirected-generation-dev This repo contains the source code of the models described in the following paper "Learning and Analyzing Generation Order f
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Source Code
Learning from Guided Play: A Scheduled Hierarchical Approach for Improving Exploration in Adversarial Imitation Learning Trevor Ablett*, Bryan Chan*,
Deep Learning segmentation suite designed for 2D microscopy image segmentation
Deep Learning segmentation suite dessigned for 2D microscopy image segmentation This repository provides researchers with a code to try different enco
QAHOI: Query-Based Anchors for Human-Object Interaction Detection (paper)
QAHOI QAHOI: Query-Based Anchors for Human-Object Interaction Detection (paper) Requirements PyTorch = 1.5.1 torchvision = 0.6.1 pip install -r requ
QRec: A Python Framework for quick implementation of recommender systems (TensorFlow Based)
Introduction QRec is a Python framework for recommender systems (Supported by Python 3.7.4 and Tensorflow 1.14+) in which a number of influential and
NCVX (NonConVeX): A User-Friendly and Scalable Package for Nonconvex Optimization in Machine Learning.
The source code is temporariy removed, as we are solving potential copyright and license issues with GRANSO (http://www.timmitchell.com/software/GRANS
Ensembling Off-the-shelf Models for GAN Training
Vision-aided GAN video (3m) | website | paper Can the collective knowledge from a large bank of pretrained vision models be leveraged to improve GAN t
[AAAI 2022] Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding
[AAAI 2022] Negative Sample Matters: A Renaissance of Metric Learning for Temporal Grounding Official Pytorch implementation of Negative Sample Matter
[NeurIPS 2021] SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning
SSUL - Official Pytorch Implementation (NeurIPS 2021) SSUL: Semantic Segmentation with Unknown Label for Exemplar-based Class-Incremental Learning Sun
This repository contains the code for the ICCV 2019 paper "Occupancy Flow - 4D Reconstruction by Learning Particle Dynamics"
Occupancy Flow This repository contains the code for the project Occupancy Flow - 4D Reconstruction by Learning Particle Dynamics. You can find detail
Reference code for the paper "Cross-Camera Convolutional Color Constancy" (ICCV 2021)
Cross-Camera Convolutional Color Constancy, ICCV 2021 (Oral) Mahmoud Afifi1,2, Jonathan T. Barron2, Chloe LeGendre2, Yun-Ta Tsai2, and Francois Bleibe
Code for Deep Single-image Portrait Image Relighting
Deep Single-Image Portrait Relighting [Project Page] Hao Zhou, Sunil Hadap, Kalyan Sunkavalli, David W. Jacobs. In ICCV, 2019 Overview Test script for
Code for TIP 2017 paper --- Illumination Decomposition for Photograph with Multiple Light Sources.
Illumination_Decomposition Code for TIP 2017 paper --- Illumination Decomposition for Photograph with Multiple Light Sources. This code implements the
Implementation of Nalbach et al. 2017 paper.
Deep Shading Convolutional Neural Networks for Screen-Space Shading Our project is based on Nalbach et al. 2017 paper. In this project, a set of buffe
Code for "Audio-driven Talking Face Video Generation with Learning-based Personalized Head Pose"
Audio-driven Talking Face Video Generation with Learning-based Personalized Head Pose We provide PyTorch implementations for our arxiv paper "Audio-dr
An end-to-end library for editing and rendering motion of 3D characters with deep learning [SIGGRAPH 2020]
Deep-motion-editing This library provides fundamental and advanced functions to work with 3D character animation in deep learning with Pytorch. The co
This is the official PyTorch implementation of the CVPR 2020 paper "TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting".
TransMoMo: Invariance-Driven Unsupervised Video Motion Retargeting Project Page | YouTube | Paper This is the official PyTorch implementation of the C
This repository contains the source code for the paper First Order Motion Model for Image Animation
!!! Check out our new paper and framework improved for articulated objects First Order Motion Model for Image Animation This repository contains the s
PyTorch implementation for our paper Learning Character-Agnostic Motion for Motion Retargeting in 2D, SIGGRAPH 2019
Learning Character-Agnostic Motion for Motion Retargeting in 2D We provide PyTorch implementation for our paper Learning Character-Agnostic Motion for
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
Frequency Spectrum Augmentation Consistency for Domain Adaptive Object Detection
Frequency Spectrum Augmentation Consistency for Domain Adaptive Object Detection Main requirements torch = 1.0 torchvision = 0.2.0 Python 3 Environm
A small game I made back in think 2011
Navi Network A small game I made back in think 2011. An online game inspired by the self-hosted nature of Minecraft, made with pygame, based on the Me
A simple but complete exercise to learning Python
ResourceReservationProject This is a simple but complete exercise to learning Python. Task and flow chart We are going to do a new fork of the existin
A machine learning web application for binary classification using streamlit
Machine Learning web App This is a machine learning web application for binary classification using streamlit options this application contains 3 clas
The repository that hosts the code that teaches a reinforcement learning - based bot to play 2048
The repository that hosts the code that teaches a reinforcement learning - based bot (based on policy gradients method) to play 2048
This Home Assistant custom component adds support for controlling Midea dehumidiferes on local network.
This is a custom component for Home assistant that adds support for Midea dehumidifier appliances via the local area network. midea-dehumidifier-lan H
Code for paper Multitask-Finetuning of Zero-shot Vision-Language Models
Code for paper Multitask-Finetuning of Zero-shot Vision-Language Models
Code to go with the paper "Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo"
dblmahmc Code to go with the paper "Decentralized Bayesian Learning with Metropolis-Adjusted Hamiltonian Monte Carlo" Requirements: https://github.com
User-friendly Voice Cloning Application
Multi-Language-RTVC stands for Multi-Language Real Time Voice Cloning and is a Voice Cloning Tool capable of transfering speaker-specific audio featur
Ensembling Off-the-shelf Models for GAN Training
Data-Efficient GANs with DiffAugment project | paper | datasets | video | slides Generated using only 100 images of Obama, grumpy cats, pandas, the Br
Pytorch modules for paralel models with same architecture. Ideal for multi agent-based systems
WideLinears Pytorch parallel Neural Networks A package of pytorch modules for fast paralellization of separate deep neural networks. Ideal for agent-b
SeqLike - flexible biological sequence objects in Python
SeqLike - flexible biological sequence objects in Python Introduction A single object API that makes working with biological sequences in Python more
Automate the case review on legal case documents and find the most critical cases using network analysis
Automation on Legal Court Cases Review This project is to automate the case review on legal case documents and find the most critical cases using netw
A Persistent Embedded Graph Database for Python
Cog - Embedded Graph Database for Python cogdb.io New release: 2.0.5! Installing Cog pip install cogdb Cog is a persistent embedded graph database im
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
About The ROOT system provides a set of OO frameworks with all the functionality needed to handle and analyze large amounts of data in a very efficien