beauthy Goto Github PK

keypointsdetection_with_torch

machine-learning-toolbox

machine-learning-yearning-cn

Machine Learning Yearning 中文版 - 《机器学习训练秘籍》 - Andrew Ng 著

mmfashion

Open-source toolbox for visual fashion analysis based on PyTorch

mmpose

OpenMMLab Pose Estimation Toolbox and Benchmark.

models

Models and examples built with TensorFlow

music-downloader

music downloader

neural-style-painting

Implementing of the "A Neural Algorithm of Artistic Style"

neural-style-tf

TensorFlow (Python API) implementation of Neural Style

neural_artistic_style

Neural Artistic Style in Python

numpy-ml

Machine learning, in numpy

opencv

Open Source Computer Vision Library

opencv_extra

OpenCV extra data

openpose

OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation

paddledetection

Object detection and instance segmentation toolkit based on PaddlePaddle.

paddlevideo

基于模块化的设计，提供丰富的视频算法实现、产业级的视频算法优化与应用，包括安防、体育、互联网、媒体等行业的动作定位与识别、行为分析、智能封面、视频标注、视频打标签等，涵盖动作识别与视频分类、动作定位、动作检测、多模态文本视频检索等技术。

paddlex

PaddlePaddle Entire Process Development Toolkit（『飞桨』深度学习全流程开发工具）

peiran

tools lib

pointasnl

PointASNL: Robust Point Clouds Processing using Nonlocal Neural Networks with Adaptive Sampling （CVPR 2020）

polyvore

Code for ACM MM'17 paper "Learning Fashion Compatibility with Bidirectional LSTMs"

pose-hg-train

Training and experimentation code used for "Stacked Hourglass Networks for Human Pose Estimation"

pose-regression

2D human pose regression

pyethapp

python-interview-questions

300+ Python Interview Questions

python-spider

:rainbow:Python3网络爬虫实战：淘宝、京东、网易云、B站、12306、抖音、笔趣阁、漫画小说下载、音乐电影下载等

python_interview_questions110

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

pytorch-openpose

pytorch implementation of openpose including Hand and Body Pose Estimation.

pytorch-summary

Model summary in PyTorch similar to `model.summary()` in Keras