100DaysofMLCode
99-ML-Learning-Projects
100DaysofMLCode | 99-ML-Learning-Projects | |
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1 | 1 | |
303 | 564 | |
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0.0 | 0.0 | |
9 months ago | 3 months ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
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100DaysofMLCode
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#100DaysofMLCode Challenge
NishkarshRaj / 100DaysofMLCode
99-ML-Learning-Projects
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I created a way to learn machine learning through Jupyter
Looks cool. Also sounds like it would fit will with the 99 ML Projects repo. Maybe you could contribute here https://github.com/gimseng/99-ML-Learning-Projects
What are some alternatives?
100-Days-Of-ML-Code - 100 Days of ML Coding
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
hdbscan - A high performance implementation of HDBSCAN clustering.
PySyft - Perform data science on data that remains in someone else's server
rmi - A learned index structure
cortx - CORTX Community Object Storage is 100% open source object storage uniquely optimized for mass capacity storage devices.
rtdl - Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl]
Python Cheatsheet - All-inclusive Python cheatsheet
vqgan-clip-generator - Implements VQGAN+CLIP for image and video generation, and style transfers, based on text and image prompts. Emphasis on ease-of-use, documentation, and smooth video creation.
FinMind - Open Data, more than 50 financial data. 提供超過 50 個金融資料(台股為主),每天更新 https://finmind.github.io/
notebooks - Implement, demonstrate, reproduce and extend the results of the Risk articles 'Differential Machine Learning' (2020) and 'PCA with a Difference' (2021) by Huge and Savine, and cover implementation details left out from the papers.
Practical_RL - A course in reinforcement learning in the wild