Machine Learning Engineering Open Book

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

maximal update parametrization (µP)

A Native-PyTorch Library for LLM Fine-tuning

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

A summary of related works about flow matching, stochastic interpolants

Complete collection of my PGF/TikZ figures.

TorchCFM: a Conditional Flow Matching library

Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activelo…

Natural Language Processing Tutorial for Deep Learning Researchers

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

A complete computer science study plan to become a software engineer.

A tool for extracting plain text from Wikipedia dumps

The fastai deep learning library

A playbook for systematically maximizing the performance of deep learning models.