tahararib,github

machine_learning_complete

A comprehensive repository containing 30+ notebooks on learning machine learning!

made-with-ml

Learn how to responsibly develop, deploy and maintain production machine learning applications.

ml-for-beginners

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

ml_py

Simple Python code implementations of Machine Learning problems and techniques

mltraining

Machine Learning Training for Data Science and AI ... Bootcamp in progress

mobiusloop-ubiquitous-journey

🧰 Open Innovation Labs Developer Experience - all the tooling for starting a residency

modern_data_platform

Sample configuration to deploy a modern data platform.

msds621

Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning

paind

Projects and notebooks for the PAIND Udacity nanodegree

probabilistic-programming-and-bayesian-methods-for-hackers

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 ;)

python-for-data-science-and-machine-learning-bootcamp

Python for Data Science and Machine Learning Bootcamp - Self-paced bootcamp (Udemy)

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-learn-reinforcement-learning

A collection of various RL algorithms like policy gradients, DQN and PPO. The goal of this repo will be to make it a go-to resource for learning about RL. How to visualize, debug and solve RL problems. I've additionally included playground.py for learning more about OpenAI gym, etc.

pytorch-original-transformer

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.