A modular Vim/Neovim configuration

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI

Spacemacs like keybindings for Visual Studio Code

Cloud Native Data Journey is a one-day program consisting of a series of workshops accompanied with hands-on labs for hands-on technical audience. The program covers the entire data lifecycle from …

Instant Setup & Best Quality for Data Projects!

Building an End-to-End Open-Source Modern Data Platform for Biomedical Data

120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

End-to-End Object Detection with Transformers

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

A curated list of awesome data labeling tools

Human-machine collaboration platform for visual data annotation

Notebooks for my "Deep Learning with TensorFlow 2 and Keras" course

Machine Learning for Healthcare 2018 - Reproducible Survival Prediction with SEER Cancer Data

A community-driven Emacs distribution - The best editor is neither Emacs nor Vim, it's Emacs *and* Vim!

100 Days of ML Coding

100-Days-Of-ML-Code中文版

My cheatsheets

Keras implementation of RetinaNet object detection.

Machine learning cheatsheet

Comprehensive Python Cheatsheet

🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

Keras implementations of Generative Adversarial Networks.

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.