Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/GTagent/personal-awesome-list
awesome list i reference
https://github.com/GTagent/personal-awesome-list
List: personal-awesome-list
Last synced: about 1 month ago
JSON representation
awesome list i reference
- Host: GitHub
- URL: https://github.com/GTagent/personal-awesome-list
- Owner: GTagent
- Created: 2018-11-22T12:37:54.000Z (almost 6 years ago)
- Default Branch: master
- Last Pushed: 2019-07-08T07:44:12.000Z (about 5 years ago)
- Last Synced: 2024-05-22T19:02:03.097Z (4 months ago)
- Size: 4.88 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
Awesome Lists containing this project
- ultimate-awesome - personal-awesome-list - Awesome list i reference. (Other Lists / PowerShell Lists)
README
This project is the collection of awesome list that i follow.
## Machine Learning or Deep Learning or AI or similar things whatever you like Lists
* [really-awesome-gan](https://github.com/nightrome/really-awesome-gan)
* [the-gan-zoo](https://github.com/nightrome/really-awesome-gan)
* [awesome-datascience](https://github.com/bulutyazilim/awesome-datascience)
* [Deep-Learning-Papers-Reading-Roadmap](https://github.com/floodsung/Deep-Learning-Papers-Reading-Roadmap)
* [transferlearning](https://github.com/jindongwang/transferlearning)
* [MachineLearning](https://github.com/allmachinelearning/MachineLearning)
* [machine-learning-surveys](https://github.com/mlreview/machine-learning-surveys)
* [Machine-Learning-Tutorials](https://github.com/ujjwalkarn/Machine-Learning-Tutorials)
* [state-of-the-art-result-for-machine-learning-problems](https://github.com/RedditSota/state-of-the-art-result-for-machine-learning-problems)
* [AdversarialNetsPapers](https://github.com/zhangqianhui/AdversarialNetsPapers)
* [awesome-deeplearning-resources](https://github.com/endymecy/awesome-deeplearning-resources)
* [awesome-deep-learning](https://github.com/ChristosChristofidis/awesome-deep-learning)
* A curated list of awesome Deep Learning tutorials, projects and communities.
* [awesome-machine-learning](https://github.com/josephmisiti/awesome-machine-learning)
* [activityrecognition](https://github.com/jindongwang/activityrecognition)
* [awesome-point-cloud-analysis]()
* A list of papers and datasets about point cloud analysis (processing)
* [Graph-based deep learning literature]()
* links to conference publications in graph-based deep learning
* [AiLearning]()
* 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
* chinese
* [awesome-semantic-segmentation]()
* 🤘 awesome-semantic-segmentation
## ML/DL Structure
- [Awesome-pytorch-list](https://github.com/bharathgs/Awesome-pytorch-list)
- A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
- [TensorFlow-Tutorials](https://github.com/nlintz/TensorFlow-Tutorials)
## ML/DL Model Zoos
* [numpy-ml]()
* machine learning in numpy
* [Deep Learning Models]()
* A collection of various deep learning architectures, models, and tips
* contains code implemented by tensorflow and Pytorch
## Game Related list
* [game-programmer](https://github.com/miloyip/game-programmer)
## other lists
* [awesome](https://github.com/sindresorhus/awesome)
* [awesome-courses](https://github.com/prakhar1989/awesome-courses)
* [Awesome-Hacking](https://github.com/Hack-with-Github/Awesome-Hacking)
* [be-a-professional-programmer](https://github.com/stanzhai/be-a-professional-programmer)
* [awesome-python](https://github.com/vinta/awesome-python)
* [awesome-asm](https://github.com/jaspergould/awesome-asm)
* [Projects](https://github.com/karan/Projects)
* [Awesome-Networking](https://github.com/clowwindy/Awesome-Networking)
## books
* ["bitcoinbook"](https://github.com/bitcoinbook/bitcoinbook)
* "Mathematics For Machine Learning",2018,[websites](https://mml-book.github.io/),[github](https://github.com/mml-book/mml-book.github.io)
* "Machine Learning Yearning", Andrew Ng. [English draft version](https://www.deeplearning.ai/machine-learning-yearning/),[Chinese draft version](https://github.com/AcceptedDoge/machine-learning-yearning-cn)
* "Dive into Deep Learning", Mu Li, etc. [English version website](http://en.diveintodeeplearning.org/), [Chinese version website](http://zh.diveintodeeplearning.org/)
* "神经网络与深度学习",[邱锡鹏](https://xpqiu.github.io/), [Chinese version](https://nndl.github.io/)
* "南瓜书(PumpkinBook)",Datawhale,[websites](),[github]()
* This repository contains some formula inferences emitted in the famous "机器学习" by 周志华
## RoadMaps
* [Virgilio]()
* Your new Mentor for Data Science E-Learning.