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Python Data Science Handbook: full text in Jupyter Notebooks
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Google Research
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.
The fastai book, published as Jupyter Notebooks
Learn OpenCV : C++ and Python Examples
A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
This repository contains implementations and illustrative code to accompany DeepMind publications
Kubernetes community content
The "Python Machine Learning (1st edition)" book code repository and info resource
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
An open-source, low-code machine learning library in Python
Python toolkit for quantitative finance
TensorFlow Tutorials with YouTube Videos
A collection of pre-trained, state-of-the-art models in the ONNX format
Automatic extraction of relevant features from time series:
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
Notebooks and code for the book "Introduction to Machine Learning with Python"
Code samples used on cloud.google.com
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…
Flax is a neural network library for JAX that is designed for flexibility.
