Github人工智能开源项目

怼烎@ 2021-10-15 13:57 467阅读 0赞

人工智能是目下很火的话题：比如人脸识别、语音识别、自动驾驶等等，这些项目都是比较常见的。看看Github上都有哪些开源项目吧。

**目录**

基于TensorFlow的框架

精选入门教程

无人驾驶

深度强化学习

自然语言处理

文本分类

序列建模

中文分词

基于文本的图像合成

RNN语言建模

神经图灵机

小黄鸡

语音领域

语音合成

语音识别

计算机视觉

风格转换

运用GAN图像生成

图像到图像的翻译

图像超分辨

人脸识别

目标检测

运动识别

图像复原

生成模型

TensorFlow实时debug工具

TensorFlow在树莓派上的应用

TensorFlow基于R的应用

实时Spark与TensorFlow的输入pipeline

caffe与TensorFlow结合

概率建模

大牛github网址收藏

--------------------

## 基于TensorFlow的框架 ##

[https://github.com/fchollet/keras][https_github.com_fchollet_keras]  
[https://github.com/tflearn/tflearn][https_github.com_tflearn_tflearn]  
[https://github.com/beniz/deepdetect][https_github.com_beniz_deepdetect]  
[https://github.com/tensorflow/fold][https_github.com_tensorflow_fold]  
[https://github.com/leriomaggio/deep-learning-keras-tensorflow][https_github.com_leriomaggio_deep-learning-keras-tensorflow]

## 精选入门教程 ##

[https://github.com/tensorflow/models][https_github.com_tensorflow_models]  
[https://github.com/aymericdamien/TensorFlow-Examples][https_github.com_aymericdamien_TensorFlow-Examples]  
[https://github.com/donnemartin/data-science-ipython-notebooks][https_github.com_donnemartin_data-science-ipython-notebooks]  
[https://github.com/jtoy/awesome-tensorflow][https_github.com_jtoy_awesome-tensorflow]  
[https://github.com/jikexueyuanwiki/tensorflow-zh][https_github.com_jikexueyuanwiki_tensorflow-zh]  
[https://github.com/nlintz/TensorFlow-Tutorials][https_github.com_nlintz_TensorFlow-Tutorials]  
[https://github.com/pkmital/tensorflow\_tutorials][https_github.com_pkmital_tensorflow_tutorials]  
[https://github.com/deepmind/learning-to-learn][https_github.com_deepmind_learning-to-learn]  
[https://github.com/BinRoot/TensorFlow-Book][https_github.com_BinRoot_TensorFlow-Book]  
[https://github.com/jostmey/NakedTensor][https_github.com_jostmey_NakedTensor]  
[https://github.com/alrojo/tensorflow-tutorial][https_github.com_alrojo_tensorflow-tutorial]  
[https://github.com/CreatCodeBuild/TensorFlow-and-DeepLearning-Tutorial][https_github.com_CreatCodeBuild_TensorFlow-and-DeepLearning-Tutorial]  
[https://github.com/sjchoi86/Tensorflow-101][https_github.com_sjchoi86_Tensorflow-101]  
[https://github.com/chiphuyen/tf-stanford-tutorials][https_github.com_chiphuyen_tf-stanford-tutorials]  
[https://github.com/google/prettytensor][https_github.com_google_prettytensor]  
[https://github.com/ahangchen/GDLnotes][https_github.com_ahangchen_GDLnotes]  
[https://github.com/Hvass-Labs/TensorFlow-Tutorials][https_github.com_Hvass-Labs_TensorFlow-Tutorials]  
[https://github.com/NickShahML/tensorflow\_with\_latest\_papers][https_github.com_NickShahML_tensorflow_with_latest_papers]  
[https://github.com/nfmcclure/tensorflow\_cookbook][https_github.com_nfmcclure_tensorflow_cookbook]  
[https://github.com/ppwwyyxx/tensorpack][https_github.com_ppwwyyxx_tensorpack]  
[https://github.com/rasbt/deep-learning-book][https_github.com_rasbt_deep-learning-book]  
[https://github.com/pkmital/CADL][https_github.com_pkmital_CADL]  
[https://github.com/tensorflow/skflow][https_github.com_tensorflow_skflow]

## 无人驾驶 ##

[https://github.com/kevinhughes27/TensorKart][https_github.com_kevinhughes27_TensorKart]  
[https://github.com/SullyChen/Autopilot-TensorFlow][https_github.com_SullyChen_Autopilot-TensorFlow]

## 深度强化学习 ##

[https://github.com/dennybritz/reinforcement-learning][https_github.com_dennybritz_reinforcement-learning]  
[https://github.com/zsdonghao/tensorlayer][https_github.com_zsdonghao_tensorlayer]  
[https://github.com/matthiasplappert/keras-rl][https_github.com_matthiasplappert_keras-rl]  
[https://github.com/nivwusquorum/tensorflow-deepq][https_github.com_nivwusquorum_tensorflow-deepq]  
[https://github.com/devsisters/DQN-tensorflow][https_github.com_devsisters_DQN-tensorflow]  
[https://github.com/coreylynch/async-rl][https_github.com_coreylynch_async-rl]  
[https://github.com/carpedm20/deep-rl-tensorflow][https_github.com_carpedm20_deep-rl-tensorflow]  
[https://github.com/yandexdataschool/Practical\_RL][https_github.com_yandexdataschool_Practical_RL]

## 自然语言处理 ##

### 文本分类 ###

[https://github.com/dennybritz/cnn-text-classification-tf][https_github.com_dennybritz_cnn-text-classification-tf]

### 序列建模 ###

[https://github.com/google/seq2seq][https_github.com_google_seq2seq]

### 中文分词 ###

[https://github.com/koth/kcws][https_github.com_koth_kcws]

### 基于文本的图像合成 ###

[https://github.com/paarthneekhara/text-to-image][https_github.com_paarthneekhara_text-to-image]

### RNN语言建模 ###

[https://github.com/sherjilozair/char-rnn-tensorflow][https_github.com_sherjilozair_char-rnn-tensorflow]  
[https://github.com/silicon-valley-data-science/RNN-Tutorial][https_github.com_silicon-valley-data-science_RNN-Tutorial]

### 神经图灵机 ###

[https://github.com/carpedm20/NTM-tensorflow][https_github.com_carpedm20_NTM-tensorflow]

### 小黄鸡 ###

[https://github.com/wong2/xiaohuangji][https_github.com_wong2_xiaohuangji]

## 语音领域 ##

### 语音合成 ###

[https://github.com/ibab/tensorflow-wavenet][https_github.com_ibab_tensorflow-wavenet]  
[https://github.com/tomlepaine/fast-wavenet][https_github.com_tomlepaine_fast-wavenet]

### 语音识别 ###

[https://github.com/buriburisuri/speech-to-text-wavenet][https_github.com_buriburisuri_speech-to-text-wavenet]  
[https://github.com/pannous/tensorflow-speech-recognition][https_github.com_pannous_tensorflow-speech-recognition]

## 计算机视觉 ##

### 风格转换 ###

[https://github.com/anishathalye/neural-style][https_github.com_anishathalye_neural-style]

https://github.com/cysmith/neural-style-tf

### 运用GAN图像生成 ###

[https://github.com/carpedm20/DCGAN-tensorflow][https_github.com_carpedm20_DCGAN-tensorflow]

### 图像到图像的翻译 ###

[https://github.com/affinelayer/pix2pix-tensorflow][https_github.com_affinelayer_pix2pix-tensorflow]

### 图像超分辨 ###

[https://github.com/Tetrachrome/subpixel][https_github.com_Tetrachrome_subpixel]

### 人脸识别 ###

[https://github.com/davidsandberg/facenet][https_github.com_davidsandberg_facenet]

### 目标检测 ###

[https://github.com/TensorBox/TensorBox][https_github.com_TensorBox_TensorBox]

### 运动识别 ###

[https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition][https_github.com_guillaume-chevalier_LSTM-Human-Activity-Recognition]

### 图像复原 ###

[https://github.com/bamos/dcgan-completion.tensorflow][https_github.com_bamos_dcgan-completion.tensorflow]

### 生成模型 ###

https://github.com/wiseodd/generative-models

## TensorFlow实时debug工具 ##

[https://github.com/ericjang/tdb][https_github.com_ericjang_tdb]

## TensorFlow在树莓派上的应用 ##

[https://github.com/samjabrahams/tensorflow-on-raspberry-pi][https_github.com_samjabrahams_tensorflow-on-raspberry-pi]

## TensorFlow基于R的应用 ##

[https://github.com/rstudio/tensorflow][https_github.com_rstudio_tensorflow]

## 实时Spark与TensorFlow的输入pipeline ##

[https://github.com/fluxcapacitor/pipeline][https_github.com_fluxcapacitor_pipeline]  
[https://github.com/yahoo/TensorFlowOnSpark][https_github.com_yahoo_TensorFlowOnSpark]

## caffe与TensorFlow结合 ##

[https://github.com/ethereon/caffe-tensorflow][https_github.com_ethereon_caffe-tensorflow]

## 概率建模 ##

[https://github.com/blei-lab/edward][https_github.com_blei-lab_edward]

## 大牛github网址收藏 ##

关于文本分类：[https://github.com/ChengjinLi/machine\_learning][https_github.com_ChengjinLi_machine_learning]  
关于聊天机器人：[https://github.com/MarkWuNLP/MultiTurnResponseSelection][https_github.com_MarkWuNLP_MultiTurnResponseSelection]

[https_github.com_fchollet_keras]: https://github.com/fchollet/keras
[https_github.com_tflearn_tflearn]: https://github.com/tflearn/tflearn
[https_github.com_beniz_deepdetect]: https://github.com/beniz/deepdetect
[https_github.com_tensorflow_fold]: https://github.com/tensorflow/fold
[https_github.com_leriomaggio_deep-learning-keras-tensorflow]: https://github.com/leriomaggio/deep-learning-keras-tensorflow
[https_github.com_tensorflow_models]: https://github.com/tensorflow/models
[https_github.com_aymericdamien_TensorFlow-Examples]: https://github.com/aymericdamien/TensorFlow-Examples
[https_github.com_donnemartin_data-science-ipython-notebooks]: https://github.com/donnemartin/data-science-ipython-notebooks
[https_github.com_jtoy_awesome-tensorflow]: https://github.com/jtoy/awesome-tensorflow
[https_github.com_jikexueyuanwiki_tensorflow-zh]: https://github.com/jikexueyuanwiki/tensorflow-zh
[https_github.com_nlintz_TensorFlow-Tutorials]: https://github.com/nlintz/TensorFlow-Tutorials
[https_github.com_pkmital_tensorflow_tutorials]: https://github.com/pkmital/tensorflow_tutorials
[https_github.com_deepmind_learning-to-learn]: https://github.com/deepmind/learning-to-learn
[https_github.com_BinRoot_TensorFlow-Book]: https://github.com/BinRoot/TensorFlow-Book
[https_github.com_jostmey_NakedTensor]: https://github.com/jostmey/NakedTensor
[https_github.com_alrojo_tensorflow-tutorial]: https://github.com/alrojo/tensorflow-tutorial
[https_github.com_CreatCodeBuild_TensorFlow-and-DeepLearning-Tutorial]: https://github.com/CreatCodeBuild/TensorFlow-and-DeepLearning-Tutorial
[https_github.com_sjchoi86_Tensorflow-101]: https://github.com/sjchoi86/Tensorflow-101
[https_github.com_chiphuyen_tf-stanford-tutorials]: https://github.com/chiphuyen/tf-stanford-tutorials
[https_github.com_google_prettytensor]: https://github.com/google/prettytensor
[https_github.com_ahangchen_GDLnotes]: https://github.com/ahangchen/GDLnotes
[https_github.com_Hvass-Labs_TensorFlow-Tutorials]: https://github.com/Hvass-Labs/TensorFlow-Tutorials
[https_github.com_NickShahML_tensorflow_with_latest_papers]: https://github.com/NickShahML/tensorflow_with_latest_papers
[https_github.com_nfmcclure_tensorflow_cookbook]: https://github.com/nfmcclure/tensorflow_cookbook
[https_github.com_ppwwyyxx_tensorpack]: https://github.com/ppwwyyxx/tensorpack
[https_github.com_rasbt_deep-learning-book]: https://github.com/rasbt/deep-learning-book
[https_github.com_pkmital_CADL]: https://github.com/pkmital/CADL
[https_github.com_tensorflow_skflow]: https://github.com/tensorflow/skflow
[https_github.com_kevinhughes27_TensorKart]: https://github.com/kevinhughes27/TensorKart
[https_github.com_SullyChen_Autopilot-TensorFlow]: https://github.com/SullyChen/Autopilot-TensorFlow
[https_github.com_dennybritz_reinforcement-learning]: https://github.com/dennybritz/reinforcement-learning
[https_github.com_zsdonghao_tensorlayer]: https://github.com/zsdonghao/tensorlayer
[https_github.com_matthiasplappert_keras-rl]: https://github.com/matthiasplappert/keras-rl
[https_github.com_nivwusquorum_tensorflow-deepq]: https://github.com/nivwusquorum/tensorflow-deepq
[https_github.com_devsisters_DQN-tensorflow]: https://github.com/devsisters/DQN-tensorflow
[https_github.com_coreylynch_async-rl]: https://github.com/coreylynch/async-rl
[https_github.com_carpedm20_deep-rl-tensorflow]: https://github.com/carpedm20/deep-rl-tensorflow
[https_github.com_yandexdataschool_Practical_RL]: https://github.com/yandexdataschool/Practical_RL
[https_github.com_dennybritz_cnn-text-classification-tf]: https://github.com/dennybritz/cnn-text-classification-tf
[https_github.com_google_seq2seq]: https://github.com/google/seq2seq
[https_github.com_koth_kcws]: https://github.com/koth/kcws
[https_github.com_paarthneekhara_text-to-image]: https://github.com/paarthneekhara/text-to-image
[https_github.com_sherjilozair_char-rnn-tensorflow]: https://github.com/sherjilozair/char-rnn-tensorflow
[https_github.com_silicon-valley-data-science_RNN-Tutorial]: https://github.com/silicon-valley-data-science/RNN-Tutorial
[https_github.com_carpedm20_NTM-tensorflow]: https://github.com/carpedm20/NTM-tensorflow
[https_github.com_wong2_xiaohuangji]: https://github.com/wong2/xiaohuangji
[https_github.com_ibab_tensorflow-wavenet]: https://github.com/ibab/tensorflow-wavenet
[https_github.com_tomlepaine_fast-wavenet]: https://github.com/tomlepaine/fast-wavenet
[https_github.com_buriburisuri_speech-to-text-wavenet]: https://github.com/buriburisuri/speech-to-text-wavenet
[https_github.com_pannous_tensorflow-speech-recognition]: https://github.com/pannous/tensorflow-speech-recognition
[https_github.com_anishathalye_neural-style]: https://github.com/anishathalye/neural-style
[https_github.com_carpedm20_DCGAN-tensorflow]: https://github.com/carpedm20/DCGAN-tensorflow
[https_github.com_affinelayer_pix2pix-tensorflow]: https://github.com/affinelayer/pix2pix-tensorflow
[https_github.com_Tetrachrome_subpixel]: https://github.com/Tetrachrome/subpixel
[https_github.com_davidsandberg_facenet]: https://github.com/davidsandberg/facenet
[https_github.com_TensorBox_TensorBox]: https://github.com/TensorBox/TensorBox
[https_github.com_guillaume-chevalier_LSTM-Human-Activity-Recognition]: https://github.com/guillaume-chevalier/LSTM-Human-Activity-Recognition
[https_github.com_bamos_dcgan-completion.tensorflow]: https://github.com/bamos/dcgan-completion.tensorflow
[https_github.com_ericjang_tdb]: https://github.com/ericjang/tdb
[https_github.com_samjabrahams_tensorflow-on-raspberry-pi]: https://github.com/samjabrahams/tensorflow-on-raspberry-pi
[https_github.com_rstudio_tensorflow]: https://github.com/rstudio/tensorflow
[https_github.com_fluxcapacitor_pipeline]: https://github.com/fluxcapacitor/pipeline
[https_github.com_yahoo_TensorFlowOnSpark]: https://github.com/yahoo/TensorFlowOnSpark
[https_github.com_ethereon_caffe-tensorflow]: https://github.com/ethereon/caffe-tensorflow
[https_github.com_blei-lab_edward]: https://github.com/blei-lab/edward
[https_github.com_ChengjinLi_machine_learning]: https://github.com/ChengjinLi/machine_learning
[https_github.com_MarkWuNLP_MultiTurnResponseSelection]: https://github.com/MarkWuNLP/MultiTurnResponseSelection