Stars
Best practices & guides on how to write distributed pytorch training code
Codes/Notebooks for AI Projects
Complete solutions to the Programming Massively Parallel Processors Edition 4
Lightning fast C++/CUDA neural network framework
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
An open-access course on algorithm analysis
Learn the basics of robotics through hands-on experience using ROS 2 and Gazebo simulation.
magic-trace collects and displays high-resolution traces of what a process is doing
A course of learning LLM inference serving on Apple Silicon for systems engineers: build a tiny vLLM + Qwen.
Minimal and annotated implementations of key ideas from modern deep learning research.
Playing around "Less Slow" coding practices in C++ 20, C, CUDA, PTX, & Assembly, from numerics & SIMD to coroutines, ranges, exception handling, networking and user-space IO
KTH Algorithm Competition Template Library (... eller KTHs AC-tillverkande lapp)
Implementation of all RL algorithms in a simpler way
This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
Learn Low Level Design (LLD) and prepare for interviews using free resources.
DeepEP: an efficient expert-parallel communication library
Somewhat hacky script to automate building of Emac.app on macOS.
Pharo is a dynamic reflective pure object-oriented language supporting live programming inspired by Smalltalk.
Curated list of the best free apps for PC and mobile
An auto-updated collection of Emacs tips and tricks from the weekly reddit threads
The Linux Kernel Module Programming Guide (updated for 5.0+ kernels)
Understanding Deep Learning - Simon J.D. Prince
A human-computer interaction system that combines eye tracking with Segment Anything Model (SAM), and it enables users to segment object they are looking at in real-time. [NeurIPSW 2023]
A deep learning based gaze estimation framework implemented with PyTorch
Gaze estimatin code. The Pytorch Implementation of "Eye Tracking for Everyone".