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https://github.com/DeepTecher/SecondaryAwesomeCollection

收集深度学习相关的awesome 资源列表,欢迎补充
https://github.com/DeepTecher/SecondaryAwesomeCollection

autonomous-vehicles awesome awesome-lists computer-vision deep-learning gan mechine-learing nlp reinforcement-learning self-driving-car

Last synced: about 1 month ago
JSON representation

收集深度学习相关的awesome 资源列表,欢迎补充

Host: GitHub
URL: https://github.com/DeepTecher/SecondaryAwesomeCollection
Owner: DeepTecher
License: mit
Created: 2019-02-21T01:35:29.000Z (over 5 years ago)
Default Branch: master
Last Pushed: 2019-07-14T14:20:38.000Z (about 5 years ago)
Last Synced: 2024-05-20T02:52:20.482Z (4 months ago)
Topics: autonomous-vehicles, awesome, awesome-lists, computer-vision, deep-learning, gan, mechine-learing, nlp, reinforcement-learning, self-driving-car
Homepage:
Size: 34.2 KB
Stars: 97
Watchers: 2
Forks: 11
Open Issues: 0
Metadata Files:
- Readme: README.md
- License: LICENSE

Awesome Lists containing this project

ultimate-awesome - SecondaryAwesomeCollection - 收集深度学习相关的awesome 资源列表,欢迎补充. (Other Lists / PowerShell Lists)

README

        # SecondaryAwesomeCollection

Collect the awesome  DeepLearning  lists in GitHub

## Courses or Paper

* [prakhar1989/awesome-courses](https://github.com/prakhar1989/awesome-courses)  :star: 29.9K  (Comment : Course for CS)

* [kmario23/deep-learning-drizzle](https://github.com/kmario23/deep-learning-drizzle) :star: 4.4K (Comment : Course for Deep Learning, 

Reinforcement Learning, Machine Learning, Computer Vision, and NLP :fire: :fire: :fire:)

* [terryum/awesome-deep-learning-papers](https://github.com/terryum/awesome-deep-learning-papers)  :star: 18K

*[Sophia-11/Awesome-CV-Paper-Review](https://github.com/Sophia-11/Awesome-CV-Paper-Review) collect the paper about `image classfication` & `object detection`

## Learning DeepLearning Framework

#### TensorFlow

* [jtoy/awesome-tensorflow](https://github.com/jtoy/awesome-tensorflow)   :star: 13.7K

* [fendouai/Awesome-TensorFlow-Chinese](https://github.com/fendouai/Awesome-TensorFlow-Chinese) :star: 0.9K (中文版)

#### PyTorch

* [bharathgs/Awesome-pytorch-list](https://github.com/bharathgs/Awesome-pytorch-list)  :star: 5.6K

* [rickiepark/awesome-pytorch](https://github.com/rickiepark/awesome-pytorch)  :star: 0.2K 

* [INTERMT/Awesome-PyTorch-Chinese](https://github.com/INTERMT/Awesome-PyTorch-Chinese) :star: 0.16K (中文)

#### MXNet

* [chinakook/Awesome-MXNet](https://github.com/chinakook/Awesome-MXNet) :star:0.6K

## Machine Learning

* [josephmisiti/awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning) :star: 38.4K

* [apachecn/AiLearning](https://github.com/apachecn/AiLearning) :star: 10K （中文）

* [ujjwalkarn/Machine-Learning-Tutorials](https://github.com/ujjwalkarn/Machine-Learning-Tutorials) :star: 8.7K

* [src-d/awesome-machine-learning-on-source-code](https://github.com/src-d/awesome-machine-learning-on-source-code) :star: 3.8K

* [jobbole/awesome-machine-learning-cn](https://github.com/jobbole/awesome-machine-learning-cn) :star: 2.6K (中文版)

* [arbox/machine-learning-with-ruby](https://github.com/arbox/machine-learning-with-ruby) :star: 1.2K

## AI

* [owainlewis/awesome-artificial-intelligence](https://github.com/owainlewis/awesome-artificial-intelligence) :star:4.5K

## Deep Learning

* [ChristosChristofidis/awesome-deep-learning](https://github.com/ChristosChristofidis/awesome-deep-learning) :star: 11.3K

* [endymecy/awesome-deeplearning-resources](https://github.com/endymecy/awesome-deeplearning-resources) :star: 1.8K

## Computer version 

* [kjw0612/awesome-deep-vision](https://github.com/kjw0612/awesome-deep-vision) :star: 7.9K

* [jbhuang0604/awesome-computer-vision](https://github.com/jbhuang0604/awesome-computer-vision) :star: 9.6K （一年前的更新内容）

#### Image Classification

* [weiaicunzai/awesome-image-classification](https://github.com/weiaicunzai/awesome-image-classification) :star: 0.2K

#### Object Detection

* [hoya012/deep_learning_object_detection](https://github.com/hoya012/deep_learning_object_detection) :star: 3.7K

* [amusi/awesome-object-detection](https://github.com/amusi/awesome-object-detection) :star: 2.4K

#### Semantic Segmentation

* [mrgloom/awesome-semantic-segmentation](https://github.com/mrgloom/awesome-semantic-segmentation) :star: 3.2K

#### Object Track

* [foolwood/benchmark_results](https://github.com/foolwood/benchmark_results) :star: 1.7K  

* [SpyderXu/multi-object-tracking-paper-list](https://github.com/SpyderXu/multi-object-tracking-paper-list) :star: 0.3K

#### Awesome Fine-Grained Image Analysis

* [html:weixiushen/Awesome_FGIA](http://www.weixiushen.com/project/Awesome_FGIA/Awesome_FGIA.html)

#### Human Pose Estimation

* [cbsudux/awesome-human-pose-estimation](https://github.com/cbsudux/awesome-human-pose-estimation) :star: 0.5K

#### Face Recognition

* [ChanChiChoi/awesome-Face_Recognition](https://github.com/ChanChiChoi/awesome-Face_Recognition) :star: 0.5K

## Transfer Learning

* [jindongwang/transferlearning](https://github.com/jindongwang/transferlearning) :star: 2.8K

## 3D

* [timzhang642/3D-Machine-Learning](https://github.com/timzhang642/3D-Machine-Learning) :star:2.66K

#### 3D Reconstruction

* [openMVG/awesome_3DReconstruction_list](https://github.com/openMVG/awesome_3DReconstruction_list) :star: 1.5K

## RNN

* [kjw0612/awesome-rnn](https://github.com/kjw0612/awesome-rnn) :star: 5.3K

## GAN

* [hindupuravinash/the-gan-zoo](https://github.com/hindupuravinash/the-gan-zoo) :star: 5.1K

* [zhangqianhui/AdversarialNetsPapers](https://github.com/zhangqianhui/AdversarialNetsPapers) :star: 4.3K

* [nightrome/really-awesome-gan](https://github.com/nightrome/really-awesome-gan) :star: 2.4K

* [nashory/gans-awesome-applications](https://github.com/nashory/gans-awesome-applications) :star:1.4K

## NLP

* [keon/awesome-nlp](https://github.com/keon/awesome-nlp) :star: 7.7K

* [crownpku/Awesome-Chinese-NLP](https://github.com/crownpku/Awesome-Chinese-NLP) :star: 3.3K  

## Meta Learning

* [dragen1860/awesome-meta-learning](https://github.com/dragen1860/awesome-meta-learning) :star:0.17K

* [gopala-kr/meta-learning](https://github.com/gopala-kr/meta-learning)

## Reinforcement Learning

* [aikorea/awesome-rl](https://github.com/aikorea/awesome-rl) :star: 5.2K

#### Deep Reinforcement Learning

* [junhyukoh/deep-reinforcement-learning-papers](https://github.com/junhyukoh/deep-reinforcement-learning-papers) :star:1.7K

#### Multi-Agent Reinforcement Learning 

* [LantaoYu/MARL-Papers](https://github.com/LantaoYu/MARL-Papers) :star:1.0K  

## Autonomous Vehicles

* [takeitallsource/awesome-autonomous-vehicles](https://github.com/takeitallsource/awesome-autonomous-vehicles) :star: 0.79K 

* [philbort/awesome-self-driving-cars](https://github.com/philbort/awesome-self-driving-cars) :star: 0.14K

* [ZRZheng/Autonomous_Vehicle_Paper_Reading_List](https://github.com/ZRZheng/Autonomous_Vehicle_Paper_Reading_List) :star: 0.052K

#### Motion Plan

* [AGV-IIT-KGP/awesome-motion-planning](https://github.com/AGV-IIT-KGP/awesome-motion-planning)  :star: 0.06K

#### Robotics

* [AtsushiSakai/PythonRobotics](https://github.com/AtsushiSakai/PythonRobotics) :star: 4.6K

## AutoML

* [[Website]automl.org](https://www.automl.org/) :+1:

* [hibayesian/awesome-automl-papers](https://github.com/hibayesian/awesome-automl-papers) :star: 0.7K

* [markdtw/awesome-architecture-search](https://github.com/markdtw/awesome-architecture-search) :star: 0.67K