Here a summary of its two-year study into the pit depth common site in order to look for updates, please share additional comments area.
First, the depth of learning / Machine Learning
| URL name |
Brief introduction |
| Tensorflow python documentation |
The python API defined Tensorflow modules / functions |
| Keras Chinese Documents |
Defined Keras the python API module / function |
| Pytorch official website |
Pytorch official website (installation instructions, documentation, community) |
| Pytorch Chinese Documents |
Pytorch Chinese Documents |
| Tensorflow install Chinese |
Tensorflow of Chinese installation instructions, the default page to pip |
| libsvm |
Libsvm Github, can be used to solve libsvm svm |
| matplotlib |
matplotlib python visualization official website |
| pyecharts |
pyecharts python visualization Chinese official website (draw maps, charts, pie charts, etc.) |
| MATLAB Chinese Documents |
MATLAB Chinese document, you can query functions, etc. |
| Anaconda installation |
Anaconda various installation packet address |
| Installing Frameworks For Jetson |
Installation tf, torch or the like NVIDIA JESTON series of embedded devices (e.g., TX2) in |
| TensorRT python API doc |
TensorRT the python API documentation |
| imbalanced-learn |
Imbalanced Data processing training package imbalanced-learn document |
| China Open Data collection network |
Open data sets in mainland China, may apply for download |
Second, the machine learning contest
