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My own notes, implementations, and musings for MIT's graduate course in machine learning, 6.867
Fast and memory-efficient exact attention
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
😎 A curated list of awesome MLOps tools
Seamlessly integrate state-of-the-art transformer models into robotics stacks
The CNCF candidate for observability visualisation. Already supports Prometheus - more data sources to come!
A self-hostable CDN for databases. Spice provides a unified SQL query interface and portable runtime to locally materialize, accelerate, and query datasets from any database, data warehouse, or dat…
A complete computer science study plan to become a software engineer.
Native Mac APIs for Go. Previously known as MacDriver
A curated list of Large Language Model (LLM) Interpretability resources.
A central repository to keep track of the status of work on and support for free-threaded CPython (see PEP 703), with a focus on the scientific and ML/AI ecosystem
A byte-pair tokenizer for use with LLMs providing a Python API with C extensions for improved performance
Vision-Based Near-Shore Wave Tracking and Recognition for High Elevation and Aerial Video Cameras (Python)
Track changes to GraphQL APIs by git scraping their schemas
Open-source vector similarity search for Postgres
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
An educational resource to help anyone learn deep reinforcement learning.
Machine Learning for Alignment Bootcamp
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Simple, scalable, distributed mutex for serializing computations anywhere on the Internet (with Go and shell clients)
High Quality Resources on GPU Programming/Architecture
Fast and extensible multi-platform HTTP/1-2-3 web server with automatic HTTPS
Notebooks and various random fun