7272 Repositories
Python Deep-Learning-based-Spectrum-Sensing Libraries
An A-SOUL Text Generator Based on CPM-Distill.
ASOUL-Generator-Backend 本项目为 https://asoul.infedg.xyz/ 的后端。 模型为基于 CPM-Distill 的 transformers 转化版本 CPM-Generate-distill 训练而成。
Install and manage Proton-GE and Luxtorpeda for Steam and Wine-GE for Lutris with this graphical user interface. Based on AUNaseef's ProtonUp, made with Python 3 and Qt 6.
ProtonUp-Qt Qt-based graphical user interface to install and manage Proton-GE installations for Steam and Wine-GE installations for Lutris. Based on A
A set of demo of deploying a Machine Learning Model in production using various methods
Machine Learning Model in Production This git is for those who have concern about serving your machine learning model to production. Overview The tuto
Basic yet complete Machine Learning pipeline for NLP tasks
Basic yet complete Machine Learning pipeline for NLP tasks This repository accompanies the article on building basic yet complete ML pipelines for sol
Tmux Based Dropdown Dashboard For Python
sextans It's a private configuration and an ongoing experiment while I use Archlinux. A simple drop down dashboard based on tmux. It includes followin
Depth image based mouse cursor visual haptic
Depth image based mouse cursor visual haptic How to run it. Install pyqt5. Install python modules pip install Pillow pip install numpy For illustrati
Quick tutorial on orchest.io that shows how to build multiple deep learning models on your data with a single line of code using python
Deep AutoViML Pipeline for orchest.io Quickstart Build Deep Learning models with a single line of code: deep_autoviml Deep AutoViML helps you build te
Visualizing and learning from games on chess.com
Better Your Chess What for? This project aims to help you learn from all the chess games you've played online, starting with a simple way to download
Implementation of a hadoop based movie recommendation system
Implementation-of-a-hadoop-based-movie-recommendation-system 通过编写代码,设计一个基于Hadoop的电影推荐系统,通过此推荐系统的编写,掌握在Hadoop平台上的文件操作,数据处理的技能。windows 10 hadoop 2.8.3 p
PyTorch implementation for our AAAI 2022 Paper "Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning"
deepGCFX PyTorch implementation for our AAAI 2022 Paper "Graph-wise Common Latent Factor Extraction for Unsupervised Graph Representation Learning" Pr
The code for paper "Contrastive Spatio-Temporal Pretext Learning for Self-supervised Video Representation" which is accepted by AAAI 2022
Contrastive Spatio Temporal Pretext Learning for Self-supervised Video Representation (AAAI 2022) The code for paper "Contrastive Spatio-Temporal Pret
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
Deep Distributed Control of Port-Hamiltonian Systems
De(e)pendable Distributed Control of Port-Hamiltonian Systems (DeepDisCoPH) This repository is associated to the paper [1] and it contains: The full p
PyTorch implementation of our paper: Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition
Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition, arxiv This is a PyTorch implementation of our paper. 1. Re
TransZero++: Cross Attribute-guided Transformer for Zero-Shot Learning
TransZero++ This repository contains the testing code for the paper "TransZero++: Cross Attribute-guided Transformer for Zero-Shot Learning" submitted
Implementation of the ALPHAMEPOL algorithm, presented in Unsupervised Reinforcement Learning in Multiple Environments.
ALPHAMEPOL This repository contains the implementation of the ALPHAMEPOL algorithm, presented in Unsupervised Reinforcement Learning in Multiple Envir
A Comparative Review of Recent Kinect-Based Action Recognition Algorithms (TIP2020, Matlab codes)
A Comparative Review of Recent Kinect-Based Action Recognition Algorithms This repo contains: the HDG implementation (Matlab codes) for 'Analysis and
PyTorch implementation of DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration (BMVC 2021)
DeepUME: Learning the Universal Manifold Embedding for Robust Point Cloud Registration [video] [paper] [supplementary] [data] [thesis] Introduction De
Code release for General Greedy De-bias Learning
General Greedy De-bias for Dataset Biases This is an extention of "Greedy Gradient Ensemble for Robust Visual Question Answering" (ICCV 2021, Oral). T
A terminal based web shell controller
shell-hack Tribute to Chinese ant sword; A Powerful terminal based webshell controller; Usage : Usage : python3 shell-hack.py --url [URL] --w
The source code of "Language Models are Few-shot Multilingual Learners" (MRL @ EMNLP 2021)
Language Models are Few-shot Multilingual Learners Paper This is the source code of the paper [Arxiv] [ACL Anthology]: This code has been written usin
A carrot-based color palette you didn't know you needed.
A package to produce a carrot-inspired color palette for python/matplotlib. Install: pip install carrotColors Update: pip install --upgrade carrotColo
Deep Reinforcement Learning based autonomous navigation for quadcopters using PPO algorithm.
PPO-based Autonomous Navigation for Quadcopters This repository contains an implementation of Proximal Policy Optimization (PPO) for autonomous naviga
Repository for GNSS-based position estimation using a Deep Neural Network
Code repository accompanying our work on 'Improving GNSS Positioning using Neural Network-based Corrections'. In this paper, we present a Deep Neural
Scrapegoat is a python library that can be used to scrape the websites from internet based on the relevance of the given topic irrespective of language using Natural Language Processing
Scrapegoat is a python library that can be used to scrape the websites from internet based on the relevance of the given topic irrespective of language using Natural Language Processing. It can be mainly used for non-English language to get accurate and relevant scraped text.
Example how to deploy deep learning model with aiohttp.
aiohttp-demos Demos for aiohttp project. Contents Imagetagger Deep Learning Image Classifier URL shortener Toxic Comments Classifier Moderator Slack B
Braje: a python based credit hacker tool. Hack unlimited RAJE LIKER app Credit
#ReCoded Evan Al Mahmud Irfan ✨ ථ BRAJE 1.0 AUTO LIKER, AUTO COMMENT AND AUTO FOLLOWER APP CREDIT HACKER TOOL About Braje: Braje is a python based cre
Minecraft agent to farm resources using reinforcement learning
BarnyardBot CS 175 group project using Malmo download BarnyardBot.py into the python examples directory and run 'python BarnyardBot.py' in the console
Header-only library for using Keras models in C++.
frugally-deep Use Keras models in C++ with ease Table of contents Introduction Usage Performance Requirements and Installation FAQ Introduction Would
Streaming over lightweight data transformations
Description Data augmentation libarary for Deep Learning, which supports images, segmentation masks, labels and keypoints. Furthermore, SOLT is fast a
A knowledge base construction engine for richly formatted data
Fonduer is a Python package and framework for building knowledge base construction (KBC) applications from richly formatted data. Note that Fonduer is
computer vision, image processing and machine learning on the web browser or node.
Image processing and Machine learning labs computer vision, image processing and machine learning on the web browser or node note Fast Fourier Trans
A basic reminder tool written in Python.
A simple Python Reminder Here's a basic reminder tool written in Python that speaks to the user and sends a notification. Run pip3 install pyttsx3 w
RL agent to play μRTS with Stable-Baselines3
Gym-μRTS with Stable-Baselines3/PyTorch This repo contains an attempt to reproduce Gridnet PPO with invalid action masking algorithm to play μRTS usin
Synthesize photos from PhotoDNA using machine learning 🌱
Ribosome Synthesize photos from PhotoDNA. See the blog post for more information. Installation Dependencies You can install Python dependencies using
Example for how to package a Python library based on Cython.
Cython sample module This project is an example of a module that can be built using Cython. It is an upgrade from a similar model developed by Arin Kh
A simple CLI based any Download Tool, that find files and let you stream or download thorugh WebTorrent CLI or Aria or any command tool
Privateer A simple CLI based any Download Tool, that find files and let you stream or download thorugh WebTorrent CLI or Aria or any command tool How
A warping based image translation model focusing on upper body synthesis.
Pose2Img Upper body image synthesis from skeleton(Keypoints). Sub module in the ICCV-2021 paper "Speech Drives Templates: Co-Speech Gesture Synthesis
Complete system for facial identity system
Complete system for facial identity system. Include one-shot model, database operation, features visualization, monitoring
Pytorch implementation of the paper Improving Text-to-Image Synthesis Using Contrastive Learning
T2I_CL This is the official Pytorch implementation of the paper Improving Text-to-Image Synthesis Using Contrastive Learning Requirements Linux Python
Semantic Edge Detection with Diverse Deep Supervision
Semantic Edge Detection with Diverse Deep Supervision This repository contains the code for our IJCV paper: "Semantic Edge Detection with Diverse Deep
Marine debris detection with commercial satellite imagery and deep learning.
Marine debris detection with commercial satellite imagery and deep learning. Floating marine debris is a global pollution problem which threatens mari
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Code Repository for Machine Learning with PyTorch and Scikit-Learn
An AI for Music Generation
An AI for Music Generation
Prototype-based Incremental Few-Shot Semantic Segmentation
Prototype-based Incremental Few-Shot Semantic Segmentation Fabio Cermelli, Massimiliano Mancini, Yongqin Xian, Zeynep Akata, Barbara Caputo -- BMVC 20
Learning to Stylize Novel Views
Learning to Stylize Novel Views [Project] [Paper] Contact: Hsin-Ping Huang ([email protected]) Introduction We tackle a 3D scene stylization probl
The project was to detect traffic signs, based on the Megengine framework.
trafficsign 赛题 旷视AI智慧交通开源赛道,初赛1/177,复赛1/12。 本赛题为复杂场景的交通标志检测,对五种交通标志进行识别。 框架 megengine 算法方案 网络框架 atss + resnext101_32x8d 训练阶段 图片尺寸 最终提交版本输入图片尺寸为(1500,2
Benchmark for the generalization of 3D machine learning models across different remeshing/samplings of a surface.
Discretization Robust Correspondence Benchmark One challenge of machine learning on 3D surfaces is that there are many different representations/sampl
The aim is to contain multiple models for materials discovery under a common interface
Aviary The aviary contains: - roost, - wren, cgcnn. The aim is to contain multiple models for materials discovery under a common interface Environment
A wrapper around SageMaker ML Lineage Tracking extending ML Lineage to end-to-end ML lifecycles, including additional capabilities around Feature Store groups, queries, and other relevant artifacts.
ML Lineage Helper This library is a wrapper around the SageMaker SDK to support ease of lineage tracking across the ML lifecycle. Lineage artifacts in
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
TensorFlow Examples This tutorial was designed for easily diving into TensorFlow, through examples. For readability, it includes both notebooks and so
TensorFlow for Raspberry Pi
TensorFlow on Raspberry Pi It's officially supported! As of TensorFlow 1.9, Python wheels for TensorFlow are being officially supported. As such, this
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
LSTMs for Human Activity Recognition Human Activity Recognition (HAR) using smartphones dataset and an LSTM RNN. Classifying the type of movement amon
Simple and ready-to-use tutorials for TensorFlow
TensorFlow World To support maintaining and upgrading this project, please kindly consider Sponsoring the project developer. Any level of support is a
TensorFlow tutorials and best practices.
Effective TensorFlow 2 Table of Contents Part I: TensorFlow 2 Fundamentals TensorFlow 2 Basics Broadcasting the good and the ugly Take advantage of th
TensorFlow Implementation of Unsupervised Cross-Domain Image Generation
Domain Transfer Network (DTN) TensorFlow implementation of Unsupervised Cross-Domain Image Generation. Requirements Python 2.7 TensorFlow 0.12 Pickle
TensorFlow (Python API) implementation of Neural Style
neural-style-tf This is a TensorFlow implementation of several techniques described in the papers: Image Style Transfer Using Convolutional Neural Net
You Only Look Once for Panopitic Driving Perception
You Only 👀 Once for Panoptic 🚗 Perception You Only Look at Once for Panoptic driving Perception by Dong Wu, Manwen Liao, Weitian Zhang, Xinggang Wan
CPPE - 5 (Medical Personal Protective Equipment) is a new challenging object detection dataset
CPPE - 5 CPPE - 5 (Medical Personal Protective Equipment) is a new challenging dataset with the goal to allow the study of subordinate categorization
Free casino website. Madden just for learning / fun
Website Casino Free casino website. Madden just for learning / fun. Uses Jinja2 (HTML), Flask, JavaScript, etc. Dice game Preview
🏆 • 5050 most frequent words in 109 languages
🏆 Most Common Words Multilingual 5000 most frequent words in 109 languages. Uses wordfrequency.info as a source. 🔗 License source code license data
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
Repository for Comparison based sorting algorithms in python
Repository for Comparison based sorting algorithms in python. This was implemented for project one submission for ITCS 6114 Data Structures and Algorithms under the guidance of Dr. Dewan at the University of North Carolina at Charlotte, Fall 2021.
A python script based on opencv and paddleocr, which can automatically pick up tasks, make cookies, and receive rewards in the Destiny 2 Dawning Oven
A python script based on opencv and paddleocr, which can automatically pick up tasks, make cookies, and receive rewards in the Destiny 2 Dawning Oven
Graph Self-Supervised Learning for Optoelectronic Properties of Organic Semiconductors
SSL_OSC Graph Self-Supervised Learning for Optoelectronic Properties of Organic Semiconductors
A Parameter-free Deep Embedded Clustering Method for Single-cell RNA-seq Data
A Parameter-free Deep Embedded Clustering Method for Single-cell RNA-seq Data Overview Clustering analysis is widely utilized in single-cell RNA-seque
Turning images into '9-pan' palettes using KMeans clustering from sklearn.
img2palette Turning images into '9-pan' palettes using KMeans clustering from sklearn. Requirements We require: Pillow, for opening and processing ima
Clang-based cross platform build system written in Python
Clang-build Find the full documentation at https://clang-build.readthedocs.io First steps Customisations Multiple targets Multiple projects Defaults M
Program to extract signatures from documents.
Extracting Signatures from Bank Checks Introduction Ahmed et al. [1] suggest a connected components-based method for segmenting signatures in document
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 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
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
A distributed block-based data storage and compute engine
Nebula is an extremely-fast end-to-end interactive big data analytics solution. Nebula is designed as a high-performance columnar data storage and tabular OLAP engine.
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
Learned Initializations for Optimizing Coordinate-Based Neural Representations
Learned Initializations for Optimizing Coordinate-Based Neural Representations Project Page | Paper Matthew Tancik*1, Ben Mildenhall*1, Terrance Wang1
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
O-CNN This repository contains the implementation of our papers related with O-CNN. The code is released under the MIT license. O-CNN: Octree-based Co
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
GAN-based 3D human pose estimation model for 3DV'17 paper
Tensorflow implementation for 3DV 2017 conference paper "Adversarially Parameterized Optimization for 3D Human Pose Estimation". @inproceedings{jack20
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