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Rigourous evaluation of LLM-synthesized code - NeurIPS 2023 & COLM 2024
[TMLR 2024] Efficient Large Language Models: A Survey
A collection of LLM papers, blogs, and projects, with a focus on OpenAI o1 🍓 and reasoning techniques.
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers a…
This is a repository for all workshop related materials.
Analyze the inference of Large Language Models (LLMs). Analyze aspects like computation, storage, transmission, and hardware roofline model in a user-friendly interface.
A playbook for systematically maximizing the performance of deep learning models.
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (p…
Design patterns implemented in Java
cargo subcommand showing the assembly or llvm-ir generated for Rust code
『밑바닥부터 시작하는 딥러닝 ❷』(한빛미디어, 2019)
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
shizy818 / onnx-mlir
Forked from onnx/onnx-mlirRepresentation and Reference Lowering of ONNX Models in MLIR Compiler Infrastructure
A collection of modern/faster/saner alternatives to common unix commands.
Plotting library for IPython/Jupyter notebooks
Issues related to MLPerf™ Inference policies, including rules and suggested changes
A kubernetes reference controller with actix-web
Open source platform for the machine learning lifecycle
A list of ICs and IPs for AI, Machine Learning and Deep Learning.
Production infrastructure for machine learning at scale
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
A Rust CPU profiler implemented with the help of backtrace-rs
📖 A collection of pure POSIX sh alternatives to external processes.