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Understanding Deep Learning - Simon J.D. Prince
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Minimal and annotated implementations of key ideas from modern deep learning research.
Statistical Rethinking course and book package
My learning notes for ML SYS.
Rediscover the beauty of typography.
Astro Nano is a static, minimalist, lightweight, lightning fast portfolio and blog.
Astro Sphere is a static, minimalist, lightweight, lightning fast portfolio and blog.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
An experimental stackless Lua VM implemented in pure Rust
A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).
Linear algebra foundation for the Rust programming language
A minimal GPU design in Verilog to learn how GPUs work from the ground up
Graph convolutional neural network for multirelational link prediction
Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020
21 Lessons, Get Started Building with Generative AI
A lightweight yet powerful audio-to-MIDI converter with pitch bend detection
🛰️ An approximate nearest-neighbor search library for Python and Java with a focus on ease of use, simplicity, and deployability.
How Powerful are Graph Neural Networks?
Puzzles for learning Triton