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Starred repositories
Python Data Science Handbook: full text in Jupyter Notebooks
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
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 ;)
⛔️ DEPRECATED – See https://github.com/ageron/handson-ml3 instead.
A game theoretic approach to explain the output of any machine learning model.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
深度学习入门教程, 优秀文章, Deep Learning Tutorial
《Python Cookbook》 3rd Edition Translation
Automatic extraction of relevant features from time series:
Image restoration with neural networks but without learning.
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…
Portfolio and risk analytics in Python
Code samples from the book Web Scraping with Python http://shop.oreilly.com/product/0636920034391.do
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Probabilistic reasoning and statistical analysis in TensorFlow
Text and supporting code for Think Stats, 2nd Edition
Repo for the Deep Learning Nanodegree Foundations program.
The Jupyter Notebooks behind my OReilly report, "A Whirlwind Tour of Python"
Language-Agnostic SEntence Representations
Lectures on scientific computing with python, as IPython notebooks.
An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
Python-based tools for document analysis and OCR
IPython Parallel: Interactive Parallel Computing in Python
Simplified implementations of deep learning related works
An interactive data visualization tool which brings matplotlib graphics to the browser using D3.
Code, Notebooks and Examples from Practical Business Python