Deep Learning and Unsupervised Feature Learning Tutorial Solutions
Deep Learning Specialization by Andrew Ng on Coursera.
Implements face recognition algorithms for MATLAB/GNU Octave and Python.
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Natural Language Processing Tutorial for Deep Learning Researchers
A toolkit for making real world machine learning and data analysis applications in C++
A Chinese Translation of Stanford CS229 notes 斯坦福机器学习CS229课程讲义的中文翻译
PyTorch Tutorial for Deep Learning Researchers
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
Machine Learning in Action（机器学习实战）
Tracking Benchmark for Correlation Filters
Usage of https://github.com/davidsandberg/facenet/ model for people identification
Easy-to-use profiler for GStreamer
Simple finite-state machines in Python
Photographic Image Synthesis with Cascaded Refinement Networks
[UNMAINTAINED] 非监督特征学习与深度学习中文教程，该版本翻译自新版 UFLDL Tutorial 。建议新人们去学习斯坦福的CS231n课程，该门课程在网易云课堂上也有一个配有中文字幕的版本。
Stanford Unsupervised Feature Learning and Deep Learning Tutorial
