A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

The fastai deep learning library

The fastai book, published as Jupyter Notebooks

This repository contains demos I made with the Transformers library by HuggingFace.

TensorFlow documentation

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

unet for image segmentation

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.

MONAI Tutorials

Python package for process-oriented climate modeling

This is a repository for all workshop related materials.

pytorch implementation of Neural Parametric Singing Synthesizer 歌声合成

A semantic segmentation pipeline for custom image annotation