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21 Lessons, Get Started Building with Generative AI
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
12 Lessons to Get Started Building AI Agents
Anthropic's Interactive Prompt Engineering Tutorial
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
This repository contains implementations and illustrative code to accompany DeepMind publications
FinRL®: Financial Reinforcement Learning. 🔥
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
A series of large language models trained from scratch by developers @01-ai
Visualizations for machine learning datasets
Taming Transformers for High-Resolution Image Synthesis
A scikit-learn compatible neural network library that wraps PyTorch
PyTorch implementation of AnimeGANv2
Fast and Easy Infinite Neural Networks in Python
A list of Machine Learning Art Colabs
Deep Learning Cookbox
This repo dockerizes Stable Diffusion to ease the usage of the model with a gradio UI
Benchmarks for Low Latency (Streaming) solutions including Apache Storm, Apache Spark, Apache Flink, ...
👩🏻🍳 A collection of example notebooks using Haystack
Toy example of an applied ML pipeline for me to experiment with MLOps tools.
Set of Jupyter notebooks demonstrating Learning to Rank integrated with Solr and Elasticsearch
Automated ML pipeline with Python, Docker, Luigi, SciKit-Learn and Pandas to predict wine quality ratings