Bayesian-Methods-for-Machine-Learning

吴恩达老师的机器学习课程个人笔记

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 ;)

Deep Learning Specialization by Andrew Ng on Coursera.

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

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

Probabilistic reasoning and statistical analysis in TensorFlow

? Places where you can learn robotics (and stuff like that) online ?

High-quality implementations of standard and SOTA methods on a variety of tasks.

Google Colaboratory Notebooks and Repositories (by @firmai)

吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course