homemade-machine-learning by trekhleb

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

updated at Nov. 17, 2024, 5:08 p.m.

Jupyter Notebook

938 -1

23,118 +21

4,070 +7

GitHub
introduction_to_ml_with_python by amueller

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

updated at Nov. 17, 2024, 3:42 p.m.

Jupyter Notebook

367 +0

7,450 +2

4,565 -1

GitHub
fastai by fastai

The fastai deep learning library

updated at Nov. 17, 2024, 3:42 p.m.

Jupyter Notebook

604 -1

26,295 +17

7,561 -2

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

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

updated at Nov. 17, 2024, 3:15 p.m.

Jupyter Notebook

88 +0

1,275 +5

300 +0

GitHub
swift by tensorflow

Swift for TensorFlow

updated at Nov. 17, 2024, 10:01 a.m.

Jupyter Notebook

258 +0

6,126 +3

608 +0

GitHub
gan by tensorflow

Tooling for GANs in TensorFlow

updated at Nov. 17, 2024, 9:29 a.m.

Jupyter Notebook

46 +0

938 +5

249 +0

GitHub
pydata-book by wesm

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

updated at Nov. 17, 2024, 5:02 a.m.

Jupyter Notebook

1,485 +0

22,245 +29

15,185 +14

GitHub
pandas-cookbook by jvns

Recipes for using Python's pandas library

updated at Nov. 17, 2024, 2:24 a.m.

Jupyter Notebook

305 +0

6,664 +7

2,317 +1

GitHub
pycaret by pycaret

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

updated at Nov. 17, 2024, 1:09 a.m.

Jupyter Notebook

136 +1

8,955 +26

1,774 +3

GitHub
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 ;)

updated at Nov. 16, 2024, 9:17 p.m.

Jupyter Notebook

1,370 +0

26,805 +8

7,884 +3

GitHub
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

updated at Nov. 16, 2024, 6:12 p.m.

Jupyter Notebook

36 +0

2,578 +4

388 +0

GitHub
pattern_classification by rasbt

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

updated at Nov. 16, 2024, 4:08 p.m.

Jupyter Notebook

387 +0

4,149 +2

1,288 +0

GitHub
evidently by evidentlyai

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

updated at Nov. 16, 2024, 3 p.m.

Jupyter Notebook

48 -1

5,400 +35

597 +2

GitHub
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.

updated at Nov. 16, 2024, 12:26 p.m.

Jupyter Notebook

387 +0

6,924 +7

1,997 -1

GitHub
handson-ml by ageron

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

updated at Nov. 16, 2024, 12:08 p.m.

Jupyter Notebook

1,085 +0

25,200 +5

12,913 +4

GitHub
skorch by skorch-dev

A scikit-learn compatible neural network library that wraps PyTorch

updated at Nov. 16, 2024, 1:52 a.m.

Jupyter Notebook

81 +0

5,882 +4

390 +0

GitHub
shapash by MAIF

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

updated at Nov. 15, 2024, 9:09 p.m.

Jupyter Notebook

38 +0

2,738 +1

335 +0

GitHub
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

updated at Nov. 14, 2024, 8:27 p.m.

Jupyter Notebook

70 +0

624 +1

111 +0

GitHub
neuraltalk2 by karpathy

Efficient Image Captioning code in Torch, runs on GPU

updated at Nov. 14, 2024, 2:15 p.m.

Jupyter Notebook

274 +0

5,511 +3

1,259 +1

GitHub
ROCAnalysis.jl by davidavdav

Receiver Operating Characteristics and functions for evaluation probabilistic binary classifiers

updated at Nov. 14, 2024, 10:46 a.m.

Jupyter Notebook

5 +0

32 +1

10 +0

GitHub