Langchain v1 projects based on the latest API changes.

This repository contains a curated collection of 300+ case studies from over 80 companies, detailing practical applications and insights into machine learning (ML) system design. The contents are o…

Build a RAG (Retrieval Augmented Generation) pipeline from scratch and have it all run locally.

The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, MCP compatibility, and more.

Tutorials and exercises are done in the course 'Building RAG Agents with LLM'

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

This repo is for code that supports talks, blogs, and other activities the Google Cloud Developer Relations team engages in.

An example of multi-agent orchestration with llama-index

Introduction to Machine Learning Systems

Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

An Open Source Machine Learning Framework for Everyone

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

Developers helping developers. TFX-Addons is a collection of community projects to build new components, examples, libraries, and tools for TFX. The projects are organized under the auspices of the…

Real-time face swap for PC streaming or video calls

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG

This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samu…

Code Repository for Machine Learning with PyTorch and Scikit-Learn

Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop

LLMs: Multi-Stage Reasoning

Image Processing Using Python with Data Camp

Course materials for introductory data science

The fastai book, published as Jupyter Notebooks

100 data puzzles for pandas, ranging from short and simple to super tricky (60% complete)

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

This Repo contain Head First series eBook.