Python Data Science Handbook: full text in Jupyter Notebooks

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 deep learning library

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

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

Labs and demos for courses for GCP Training (http://cloud.google.com/training).

Image restoration with neural networks but without learning.

Visualizations for machine learning datasets

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

An educational AI robot based on NVIDIA Jetson Nano.

PyMC educational resources

Tutorials and implementations for "Self-normalizing networks"

Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras

A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!

Official PyTorch repo for JoJoGAN: One Shot Face Stylization

The dataset is used to train my own raccoon detector and I blogged about it on Medium

Python/PyMC3 versions of the programs described in Doing bayesian data analysis by John K. Kruschke

Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath

Bayesian Analysis with Python (Second Edition)

A one-stop repository for low-code easily-installable object detection pipelines.

Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy

Contains Jupyter notebooks associated with the "Deep Reinforcement Learning Tutorial" tutorial given at the O'Reilly 2017 NYC AI Conference.

This repository contains implementations of some basic sampling methods in numpy.