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.

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1,485 +0

22,245 +29

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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.

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1,370 +0

26,805 +8

7,884 +3

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handson-ml by ageron

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

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

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1,085 +0

25,200 +5

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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.

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938 -1

23,118 +21

4,070 +7

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fastai by fastai

The fastai deep learning library

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

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604 -1

26,295 +17

7,561 -2

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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.

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387 +0

6,924 +7

1,997 -1

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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.

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387 +0

4,149 +2

1,288 +0

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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.

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367 +0

7,450 +2

4,565 -1

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scikit-learn-videos by justmarkham

Jupyter notebooks from the scikit-learn video series

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

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348 +0

3,674 +0

2,542 +0

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pandas-cookbook by jvns

Recipes for using Python's pandas library

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

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305 +0

6,664 +7

2,317 +1

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neuraltalk2 by karpathy

Efficient Image Captioning code in Torch, runs on GPU

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

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274 +0

5,511 +3

1,259 +1

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swift by tensorflow

Swift for TensorFlow

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

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258 +0

6,126 +3

608 +0

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pycaret by pycaret

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

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

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136 +1

8,955 +26

1,774 +3

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tensorwatch by Microsoft

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

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

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102 +0

3,419 +1

362 +0

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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.

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88 +0

1,275 +5

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Knet.jl by denizyuret

Koç University deep learning framework.

created at Sept. 29, 2015, 11:42 p.m.

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83 +0

1,431 +0

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skorch by skorch-dev

A scikit-learn compatible neural network library that wraps PyTorch

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

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81 +0

5,882 +4

390 +0

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neon_course by NervanaSystems

neon tutorials

created at June 27, 2016, 3:45 p.m.

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80 +0

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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.

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75 +0

3,434 +4

450 +0

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AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics by Western-OC2-Lab

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

created at Sept. 9, 2022, 3:01 a.m.

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70 +0

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GitHub