Minimalistic example code for various machine learning and deep learning topics
Minimalistic example code for various machine learning and deep learning topics (started Dec. 26th 2020).
Teaching materials for the machine learning and deep learning classes at Stanford and Cornell
This repository contains all my small projects related with Data Science and Machine Learning.
Course notes and notebooks to teach the fundamentals of how deep learning works; uses PyTorch.
Notebooks about Bayesian methods for machine learning
Collection of useful machine learning codes and snippets (originally intended for my personal use)
Deep learning online course from Andrew Ng.
Plain python implementations of basic machine learning algorithms
Python examples for the Machine Learning Course at MSc of AI at NCSR Demokritos
Momentum AI course in machine learning
Notes for machine learning
Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
A collection of commonly used machine learning algorithms implemented in Python/Numpy
SImple notebook and dataset to demonstrate classification in TensorFlow
Some machine learning algorithms implemented in python.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"