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

A latent text-to-image diffusion model

Examples and guides for using the OpenAI API

Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs,…

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. The next cohort starts in January 2026. Join the course here 👇🏼

Course Files for Complete Python 3 Bootcamp Course on Udemy

Neural Networks: Zero to Hero

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Silero Models: pre-trained text-to-speech models made embarrassingly simple

A collection of scientific methods, processes, algorithms, and systems to build stories & models.

Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA

Apache Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage/tracing and metadata. Runs and scales everywhere python does.