ML-For-Beginners by Microsoft

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

created at March 3, 2021, 1:34 a.m.

Jupyter Notebook

741 +8

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GitHub
machine-learning-for-software-engineers by ZuzooVn

A complete daily plan for studying to become a machine learning engineer.

created at Oct. 9, 2016, 9:20 p.m.

Unknown languages

1,563 +1

25,967 +15

6,050 +6

GitHub
applied-ml by eugeneyan

๐Ÿ“š Papers & tech blogs by companies sharing their work on data science & machine learning in production.

created at July 4, 2020, 6:57 p.m.

Unknown languages

850 +0

20,155 +52

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GitHub
homemade-machine-learning by trekhleb

๐Ÿค– Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

created at Nov. 1, 2018, 4:34 a.m.

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936 +1

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GitHub
Data-Science-For-Beginners by Microsoft

10 Weeks, 20 Lessons, Data Science for All!

created at March 3, 2021, 4:30 p.m.

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320 +6

15,248 +208

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fastbook by fastai

The fastai book, published as Jupyter Notebooks

created at Feb. 28, 2020, 7:26 p.m.

Jupyter Notebook

474 +0

15,198 +39

5,594 +22

GitHub
data-science by ossu

bar chart Path to a free self-taught education in Data Science!

created at June 19, 2016, 3:15 p.m.

Unknown languages

930 +0

15,086 +47

2,635 +3

GitHub
d2l-en by d2l-ai

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

created at Oct. 9, 2018, 1:04 a.m.

Python

339 -2

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GitHub
stanford-cs-229-machine-learning by afshinea

VIP cheatsheets for Stanford's CS 229 Machine Learning

created at Aug. 4, 2018, 11:01 p.m.

Unknown languages

680 +0

13,678 +32

3,349 +7

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awesome-production-machine-learning by EthicalML

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

created at Aug. 15, 2018, 2:28 p.m.

Unknown languages

443 +2

11,806 +54

1,662 +7

GitHub
annotated_deep_learning_paper_implementations by labmlai

๐Ÿง‘โ€๐Ÿซ 50! Implementations/tutorials of deep learning papers with side-by-side notes ๐Ÿ“; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), ๐ŸŽฎ reinforcement learning (ppo, dqn), capsnet, distillation, ... ๐Ÿง 

created at Aug. 25, 2020, 2:29 a.m.

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202 +3

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GitHub
awesome-mlops by visenger

A curated list of references for MLOps

created at March 3, 2020, 11:37 a.m.

Unknown languages

318 -1

8,168 +79

1,278 +10

GitHub
pymc by pymc-devs

Probabilistic Programming in Python: Bayesian Modeling and Probabilistic Machine Learning with Aesara

created at Feb. 20, 2015, 5:12 p.m.

Python

230 -1

6,731 +22

1,613 +6

GitHub
awful-ai by daviddao

๐Ÿ˜ˆAwful AI is a curated list to track current scary usages of AI - hoping to raise awareness

created at March 27, 2018, 3:30 p.m.

Unknown languages

287 +1

6,047 +2

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GitHub
datascience by r0f1

Curated list of Python resources for data science.

created at Nov. 22, 2018, 9:21 a.m.

Unknown languages

143 +0

3,356 +18

573 +5

GitHub
cog by replicate

Containers for machine learning

created at Feb. 26, 2021, 11:43 p.m.

Python

27 +0

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thinc by explosion

๐Ÿ”ฎ A refreshing functional take on deep learning, compatible with your favorite libraries

created at Oct. 16, 2014, 4:34 p.m.

Python

83 +0

2,536 +0

253 +0

GitHub
Bayesian-Modelling-in-Python by markdregan

A python tutorial on bayesian modeling techniques (PyMC3)

created at Sept. 10, 2015, 2:27 p.m.

Jupyter Notebook

163 +0

2,368 +1

402 +0

GitHub
machine-learning-experiments by trekhleb

๐Ÿค– Interactive Machine Learning experiments: ๐Ÿ‹๏ธmodels training + ๐ŸŽจmodels demo

created at Nov. 14, 2019, 6:50 a.m.

Jupyter Notebook

52 +1

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GitHub
Andrew-NG-Notes by ashishpatel26

This is Andrew NG Coursera Handwritten Notes.

created at June 8, 2019, 12:44 p.m.

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17 +1

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GitHub