Computer Vision's repositories
CVPR2021-Papers-with-Code
CVPR 2021 论文和开源项目合集
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
Awesome-Incremental-Learning
Awesome Incremental Learning
OpenNMT-py
Open Source Neural Machine Translation in PyTorch
d2l-zh
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球175所大学采用教学。
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
PythonPark
Python 开源项目之「自学编程之路」,保姆级教程:AI实验室、宝藏视频、数据结构、学习指南、机器学习实战、深度学习实战、网络爬虫、大厂面经、程序人生、资源分享。
awesome-cpp
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.
awesome-Face_Recognition
papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;
one-python-craftsman
来自一位 Pythonista 的编程经验分享,内容涵盖编码技巧、最佳实践与思维模式等方面。
PyQt5-Apps
:paperclip:Some useful apps based on PyQt5. | 谷歌翻译、bilibili视频下载、华科电费查询、猫耳FM音频下载、无损音乐下载、华科图书馆查询、词云生成器etc.
CPlusPlusThings
C++那些事
DeepInterests
深度有趣
CppTemplateTutorial
中文的C++ Template的教学指南。与知名书籍C++ Templates不同,该系列教程将C++ Templates作为一门图灵完备的语言来讲授,以求帮助读者对Meta-Programming融会贯通。(正在施工中)
cvpr2019
cvpr2019 papers
awesome-panoptic-segmentation
This repo is the collection of the challenging panoptic segmentation, including papers and codes.
pwc
Papers with code. Sorted by stars. Updated weekly.
tencent-ml-images
Largest multi-label image database; ResNet-101 model; 80.73% top-1 acc on ImageNet
stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
Human-Pose-Estimation-Papers
2D&3D human pose estimation
Python
All Algorithms implemented in Python
shadowsocks-windows
If you want to keep a secret, you must also hide it from yourself.
YOLOw-Keras
YOLOv2 Object Detection w/ Keras (in just 20 lines of code)
deepo
A Docker image containing almost all popular deep learning frameworks: theano, tensorflow, sonnet, pytorch, keras, lasagne, mxnet, cntk, chainer, caffe, torch.