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.

1,477 +3

21,469 +31

14,905 +21

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

25,114 +6

12,928 -4

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.

1,373 -1

26,439 +14

7,828 +3

fastai by fastai

The fastai deep learning library

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

611 +0

25,733 +19

7,520 +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 +0

7,240 +11

4,499 +6

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.

939 +0

22,634 +31

4,004 +3

scikit-learn-videos by justmarkham

Jupyter notebooks from the scikit-learn video series

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

349 +0

3,633 +2

2,544 +0

pandas-cookbook by jvns

Recipes for using Python's pandas library

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

309 +0

6,514 +6

2,304 +4

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.

384 +0

6,755 +0

1,994 +3

pycaret by pycaret

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

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

131 +0

8,559 +19

1,730 +2

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.

389 +0

4,100 +2

1,287 +0

neuraltalk2 by karpathy

Efficient Image Captioning code in Torch, runs on GPU

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

274 +0

5,465 +3

1,263 +0

swift by tensorflow

Swift for TensorFlow

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

261 +1

6,120 +0

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.

46 +0

4,762 +25

533 +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

3,338 +5

435 +3

skorch by skorch-dev

A scikit-learn compatible neural network library that wraps PyTorch

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

81 +1

5,665 +4

382 +1

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

2,436 +6

368 +1

tensorwatch by Microsoft

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

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

99 +0

3,395 +4

357 +0

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

2,656 +6

324 +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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