pydata-book by wesm

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

created at June 30, 2012, 6:39 p.m.

1,472 +1

21,350 +26

14,843 +15

handson-ml by ageron

⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.

created at Feb. 16, 2016, 7:48 p.m.

1,087 +0

25,093 -2

12,925 -1

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers by CamDavidsonPilon

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

created at Jan. 14, 2013, 3:46 p.m.

1,375 +2

26,381 +19

7,821 +2

fastai by fastai

The fastai deep learning library

created at Sept. 9, 2017, 5:43 p.m.

609 +0

25,642 +21

7,513 -1

introduction_to_ml_with_python by amueller

Notebooks and code for the book "Introduction to Machine Learning with Python"

created at May 29, 2016, 6:29 p.m.

369 +1

7,209 +14

4,488 +4

homemade-machine-learning by trekhleb

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

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

940 +0

22,551 +13

3,997 +4

scikit-learn-videos by justmarkham

Jupyter notebooks from the scikit-learn video series

created at April 6, 2015, 2:08 a.m.

349 +0

3,624 +1

2,539 -1

pandas-cookbook by jvns

Recipes for using Python's pandas library

created at Dec. 21, 2013, 5:14 p.m.

309 +0

6,493 +5

2,298 +3

h2o-3 by h2oai

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

created at March 3, 2014, 4:08 p.m.

383 +0

6,739 +6

1,987 +0

pycaret by pycaret

An open-source, low-code machine learning library in Python

created at Nov. 23, 2019, 6:40 p.m.

131 +1

8,440 +26

1,721 +5

pattern_classification by rasbt

A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks

created at March 30, 2014, 5:34 a.m.

390 +0

4,092 +0

1,287 -1

neuraltalk2 by karpathy

Efficient Image Captioning code in Torch, runs on GPU

created at Nov. 20, 2015, 1:27 a.m.

274 +0

5,464 +0

1,262 +1

swift by tensorflow

Swift for TensorFlow

created at April 24, 2018, 7:18 p.m.

260 -1

6,119 +1

606 +0

evidently by evidentlyai

Evaluate and monitor ML models from validation to production. Join our Discord: https://discord.com/invite/xZjKRaNp8b

created at Nov. 25, 2020, 3:20 p.m.

45 +0

4,669 +18

524 +0

ml-workspace by ml-tooling

🛠 All-in-one web-based IDE specialized for machine learning and data science.

created at May 27, 2019, 4:55 p.m.

73 +0

3,328 +4

432 +0

skorch by skorch-dev

A scikit-learn compatible neural network library that wraps PyTorch

created at July 18, 2017, 12:13 a.m.

80 +0

5,635 +7

378 +0

computer-vision-in-action by Charmve

A computer vision closed-loop learning platform where code can be run interactively online. 学习闭环《计算机视觉实战演练：算法与应用》中文电子书、源码、读者交流社区（持续更新中 ...） 📘 在线电子书 https://charmve.github.io/computer-vision-in-action/ 👇项目主页

created at April 29, 2021, 3:08 a.m.

36 +0

2,411 +7

366 +0

tensorwatch by Microsoft

Debugging, monitoring and visualization for Python Machine Learning and Data Science

created at May 15, 2019, 8:29 a.m.

96 +0

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shapash by MAIF

🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models

created at April 29, 2020, 7:34 a.m.

37 +0

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321 +0

Hyperparameter-Optimization-of-Machine-Learning-Algorithms by LiYangHart

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

created at July 23, 2020, 3:30 a.m.

90 +0

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297 +1