pycaret by pycaret

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

updated at April 28, 2024, 8:52 a.m.

130 -1

8,414 +20

1,716 +2

pydata-book by wesm

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

updated at April 28, 2024, 8:31 a.m.

1,471 -1

21,324 +30

14,828 +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

updated at April 28, 2024, 7:56 a.m.

36 +0

2,404 +10

366 +3

fastai by fastai

The fastai deep learning library

updated at April 28, 2024, 7:51 a.m.

609 -2

25,621 +32

7,514 +4

handson-ml by ageron

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

updated at April 28, 2024, 7:20 a.m.

1,087 +0

25,095 +1

12,926 -3

homemade-machine-learning by trekhleb

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

updated at April 28, 2024, 6:43 a.m.

940 +0

22,538 +32

3,993 +0

skorch by skorch-dev

A scikit-learn compatible neural network library that wraps PyTorch

updated at April 28, 2024, 2:06 a.m.

80 +0

5,628 +9

378 +2

neuraltalk2 by karpathy

Efficient Image Captioning code in Torch, runs on GPU

updated at April 27, 2024, 9:44 p.m.

274 +0

5,464 +7

1,261 +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 ;)

updated at April 27, 2024, 8:02 p.m.

1,373 +0

26,362 +17

7,819 +5

comet-examples by comet-ml

Examples of Machine Learning code using Comet.ml

updated at April 27, 2024, 7:31 p.m.

11 +0

136 +1

58 +1

scikit-learn-videos by justmarkham

Jupyter notebooks from the scikit-learn video series

updated at April 27, 2024, 5:47 p.m.

349 +0

3,623 +3

2,540 +1

evidently by evidentlyai

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

updated at April 27, 2024, 5:14 p.m.

45 +0

4,651 +25

524 +2

introduction_to_ml_with_python by amueller

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

updated at April 27, 2024, 1:31 p.m.

368 +0

7,195 +6

4,484 +1

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 April 27, 2024, 4:32 a.m.

383 +0

6,733 +7

1,987 +0

tensorwatch by Microsoft

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

updated at April 26, 2024, 12:35 p.m.

96 +0

3,367 -1

355 +0

shapash by MAIF

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

updated at April 26, 2024, 7:52 a.m.

37 +0

2,644 +4

321 +0

open-metric-learning by OML-Team

Library for metric learning pipelines and models.

updated at April 25, 2024, 10:23 p.m.

11 +0

762 +2

51 +2

ml-workspace by ml-tooling

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

updated at April 25, 2024, 7:47 p.m.

73 +0

3,324 +1

432 +1

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

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

updated at April 25, 2024, 4:04 p.m.

90 +0

1,251 +5

296 +0

pandas-cookbook by jvns

Recipes for using Python's pandas library

updated at April 24, 2024, 9:17 p.m.

309 +0

6,488 +2

2,295 +0