Stars
Python Data Science Handbook: full text in Jupyter Notebooks
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
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 ;)
The fastai book, published as Jupyter Notebooks
Python programs, usually short, of considerable difficulty, to perfect particular skills.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
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 filte…
Build your neural network easy and fast, 莫烦Python中文教学
The "Python Machine Learning (2nd edition)" book code repository and info resource
Data Science Using Python
Probabilistic reasoning and statistical analysis in TensorFlow
Plain python implementations of basic machine learning algorithms
Single Shot MultiBox Detector in TensorFlow
Python-based tools for document analysis and OCR
A high performance implementation of HDBSCAN clustering.
Materials for my scikit-learn tutorial
Various ipython notebooks
Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.
Quantified Self Personal Data Aggregator and Data Analysis
Text and supporting code for Modeling and Simulation in Python
Numerical Tours of Signal Processing
Use evolutionary algorithms instead of gridsearch in scikit-learn
Discussion of general issues related to the project.
interactive notebooks from Planet Engineering
Temporary home for fastai v2 while it's being developed
A template for small scientific python projects