Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Deeplearning | 7,463 | a year ago | 8 | apache-2.0 | Jupyter Notebook | |||||
深度学习入门教程, 优秀文章, Deep Learning Tutorial | ||||||||||
Tensorflow_cookbook | 6,085 | 2 months ago | 28 | mit | Jupyter Notebook | |||||
Code for Tensorflow Machine Learning Cookbook | ||||||||||
Tensorflow 2.x Tutorials | 5,496 | 3 years ago | 24 | Jupyter Notebook | ||||||
TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。 | ||||||||||
Textgenrnn | 4,426 | 14 | 1 | 2 years ago | 14 | February 02, 2020 | 122 | other | Python | |
Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code. | ||||||||||
Tensorflow Tutorial | 3,873 | 3 years ago | 7 | mit | Python | |||||
Tensorflow tutorial from basic to hard | ||||||||||
Zhihu | 3,228 | 2 years ago | 31 | Jupyter Notebook | ||||||
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code. | ||||||||||
Tensorflow_poems | 3,152 | 3 years ago | 23 | Python | ||||||
中文古诗自动作诗机器人,屌炸天,基于tensorflow1.10 api,正在积极维护升级中,快star,保持更新! | ||||||||||
Lstm Human Activity Recognition | 3,074 | 7 months ago | 19 | mit | Jupyter Notebook | |||||
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 | ||||||||||
Text Classification Cnn Rnn | 2,950 | 4 years ago | 16 | mit | Python | |||||
CNN-RNN中文文本分类,基于TensorFlow | ||||||||||
Easy Tensorflow | 2,844 | 2 years ago | 3 | mit | Python | |||||
Simple and comprehensive tutorials in TensorFlow |
Our repo. is the Winner of ⚡#PoweredByTF 2.0 Challenge!.
Timeline:
make sure you are using python 3.x.
pip install tensorflow -U
Install CUDA 10.0
(or after) and cudnn
by yourself. and set LD_LIBRARY_PATH
up.
pip install tensorflow-gpu -U
Test installation:
In [2]: import tensorflow as tf
In [3]: tf.__version__
Out[3]: '2.0.0'
In [4]: tf.test.is_gpu_available()
...
totalMemory: 3.95GiB freeMemory: 3.00GiB
...
Out[4]: True
TensorFlow 2.0的视频教程链接:深度学习与TensorFlow 2实战
Feel free to submit a PR request to make this repo. more complete!
Our work is not built from scratch. Great appreciation to these open works!