Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
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Nov 12, 2026 - Python
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Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
machine-learning deep-learning robotics artificial-intelligence textbook courseware computer-systems ai-agents edge-machine-learning machine-learning-systems mlsys tinyml embodied-ai cloud-ml embedded-ml agentic-ai mobile-ml physical-ai
The RL Bridge for LLM-based Agent Applications. Made Simple & Flexible.
🚀 Awesome System for Machine Learning ⚡️ AI System Papers and Industry Practice. ⚡️ System for Machine Learning, LLM (Large Language Model), GenAI (Generative AI). 🍻 OSDI, NSDI, SIGCOMM, SoCC, MLSys, etc. 🗃️ Llama3, Mistral, etc. 🧑💻 Video Tutorials.
[ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across language, image, and video models.
cuda triton attention vit quantization video-generation mlsys inference-acceleration efficient-attention llm llm-infra video-generate
[ICLR2025 Spotlight] SVDQuant: Absorbing Outliers by Low-Rank Components for 4-Bit Diffusion Models
[ICML2025] SpargeAttention: A training-free sparse attention that accelerates any model inference.
attention vit quantization video-generation mlsys inference-acceleration ai-infra vision-transformer sparse-attention llm sageattention
SLA: Beyond Sparsity in Diffusion Transformers via Fine-Tunable Sparse–Linear Attention
transformer video-generation mlsys inference-acceleration ai-infra linear-attention sparse-attention diffusion-transformer train-acceleration sparse-linear-attention
[ACL 2026] Towards Efficient Large Language Model Serving: A Survey on System-Aware KV Cache Optimization
machine-learning ai system computer-architecture neural-language-processing mlsys kv-cache serving-ml llm llm-serving llm-inference
FedScale is a scalable and extensible open-source federated learning (FL) platform.
benchmark machine-learning deep-learning deployment tensorflow pytorch distributed dataset osdi icml federated-learning mlsys
Measure and optimize the energy consumption of your AI applications!
The repository has collected a batch of noteworthy MLSys bloggers (Algorithms/Systems)
A ChatGPT(GPT-3.5) & GPT-4 Workload Trace to Optimize LLM Serving Systems
Machine Learning Framework for Operating Systems - Brings ML to Linux kernel
An acceleration library that supports arbitrary bit-width combinatorial quantization operations
A scalable & efficient active learning/data selection system for everyone.
An agent harness that compiles a model into one provably-correct, self-retargeting CUDA megakernel and self-tunes it past cuBLAS at batch-1 LLM decode, paper: https://arxiv.org/abs/2606.09682
machine-learning gpu cuda gpu-programming kernel-fusion mlsys llm-inference agent-harness megakernel
Wave Forcing: Towards Speed-of-Light Streaming Video Generation
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