The fastai deep learning library

This repository contains implementations and illustrative code to accompany DeepMind publications

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.

Draw pretty maps from OpenStreetMap data! Built with osmnx +matplotlib + shapely

A high performance implementation of HDBSCAN clustering.

Dask tutorial

Codes to complement YouTube videos and blog posts on Medium.

South-East Asia Large Language Models

A simple Jupyter Notebook for learning MLX text-completion fine-tuning!

🔎 A deep-dive into HyDE for Advanced LLM RAG + 💡 Introducing AutoHyDE, a semi-supervised framework to improve the effectiveness, coverage and applicability of HyDE

Feature Generation by Convolutional Neural Network for Click-Through Rate Prediction