rlabbe

rlabbe/Kalman-and-Bayesian-Filters-in-Python420

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

xiaolai

clone95/Data-Science-Study-Paths-March-2019861

A complete ML study path, focused on TensorFlow and Scikit-Learn

Alfred1984

Alfred1984/interesting-python97

有趣的Python爬虫和Python数据分析小项目(Some interesting Python crawlers and data analysis projects)

xiaolai

selfteaching/the-craft-of-selfteaching83

One has no future if he couldn’t teach himself.

SmirkCao

SmirkCao/Lihang167

Statistical learning methods, 统计学习方法 [李航] 值得反复读. [笔记, 代码, notebook, 参考文献, Errata]

jakevdp

jakevdp/PythonDataScienceHandbook198

Python Data Science Handbook: full text in Jupyter Notebooks

hrzn

unit8co/vegans130

A library providing various existing GANs in PyTorch.

jph00

fastai/course-v379

The 3rd edition of course.fast.ai

miguelgfierro

Microsoft/Recommenders103

Recommender Systems

ageron

ageron/tf2_course148

Notebooks for my “Deep Learning with TensorFlow 2 and Keras” course