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System design patterns for machine learning
This repository aims to consolidate resources for learning about systems for LLM
Multimodal AI workloads: batch inference, model training and online serving.
Machine Learning Engineering Open Book
A beautiful, simple, clean, and responsive Jekyll theme for academics
A collection of learning resources for curious software engineers
📚LeetCUDA: Modern CUDA Learn Notes with PyTorch for Beginners🐑, 200+ CUDA Kernels, Tensor Cores, HGEMM, FA-2 MMA.🎉
Checkpoint-engine is a simple middleware to update model weights in LLM inference engines
A curated list of awesome commands, files, and workflows for Claude Code
Our library for RL environments + evals
FlexAttention based, minimal vllm-style inference engine for fast Gemma 2 inference.
My learning notes for ML SYS.
Attempts at solving machine learning papers(9/_)✅
Storing long contexts in tiny caches with self-study
Creating the DeepSeek V3 model from scratch
A curated list of mathematical optimization courses, lectures, books, notes, libraries, frameworks and software.
C++ Implementation of PyTorch Tutorials for Everyone
A minimal GPU design in Verilog to learn how GPUs work from the ground up
A curated list of resources for learning and exploring Triton, OpenAI's programming language for writing efficient GPU code.
Official repository for our work on micro-budget training of large-scale diffusion models.
Official repository of "SAMURAI: Adapting Segment Anything Model for Zero-Shot Visual Tracking with Motion-Aware Memory"
Simplifying reinforcement learning for complex game environments
A minimalist environment for decision-making in autonomous driving