Machine Learning Systems Design Alternatives
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Go | 23,899 | 9 months ago | 35 | unlicense | ||||||
| The Open Source Data Science Masters | ||||||||||
| D2l En | 21,912 | 4 months ago | 2 | November 13, 2022 | 115 | other | Python | |||
| Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge. | ||||||||||
| Fastbook | 19,737 |  | 1 | 9 months ago | 27 | October 24, 2022 | 143 | other | Jupyter Notebook | |
| The fastai book, published as Jupyter Notebooks | ||||||||||
| Python Machine Learning Book | 11,645 | 2 years ago | 11 | mit | Jupyter Notebook | |||||
| The "Python Machine Learning (1st edition)" book code repository and info resource | ||||||||||
| Data Science From Scratch | 7,967 | 10 months ago | 81 | mit | Python | |||||
| code for Data Science From Scratch book | ||||||||||
| Machine Learning Systems Design | 7,818 | a year ago | 11 | HTML | ||||||
| A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems" | ||||||||||
| R4ds | 4,249 | 8 months ago | 23 | other | R | |||||
| R for data science: a book | ||||||||||
| D2l Pytorch | 3,933 | 2 years ago | 13 | apache-2.0 | Jupyter Notebook | |||||
| This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch. | ||||||||||
| Data Science At The Command Line | 3,518 | a year ago | 31 | other | HTML | |||||
| Data Science at the Command Line | ||||||||||
| Deep Learning Book | 2,650 | 5 years ago | 1 | December 24, 2016 | 2 | other | Jupyter Notebook | |||
| Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python" | ||||||||||
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