Apache Spark - A unified analytics engine for large-scale data processing

Open World Holidays Framework

[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)

Example Jupyter notebooks 📓 and code scripts 💻 for using Amazon Bedrock Agents 🤖 and its functionalities

A generic Streamlit UI for testing generative AI agents built using Agents for Amazon Bedrock

Collect user feedback from within your Streamlit app

Streamlit — A faster way to build and share data apps.

A collection of guides and examples for the Gemma open models from Google.

This is a workshop designed for Amazon Bedrock a foundational model service.

This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring topics across the PySpark repos we've encountered.

This is a repository for the LinkedIn Learning course Advanced Python: Working With Data

Declarative visualization library for Python

For calculating global feature importance using Shapley values.

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 ;)

Fast and Accurate ML in 3 Lines of Code

Repository for the explanation method Calibrated Explanations (CE)

Official Code for "Seed-Free Synthetic Data Generation Framework for Instruction-Tuning LLMs: A Case Study in Thai"

Friends don't let friends make certain types of data visualization - What are they and why are they bad.

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…

Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.

RAG with langchain using Amazon Bedrock and Amazon OpenSearch

CatBoost tutorials repository

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

The open source developer platform to build AI/LLM applications and models with confidence. Enhance your AI applications with end-to-end tracking, observability, and evaluations, all in one integra…

Reference code base for ML Engineering, Manning Publications

R Extension for Visual Studio Code

Benchmark for Thai sentence representation