3 个仓库
Awesome GitHub RepositoriesModel Optimization
Tools for converting, compiling, and accelerating machine learning models.
Explore 3 awesome GitHub repositories matching part of an awesome list · Model Optimization. Refine with filters or upvote what's useful.
Awesome Model Optimization GitHub Repositories
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- rapidsai/cuml
rapidsai/cuml
5,209在 GitHub 上查看cuml is a GPU-accelerated machine learning library and framework that uses CUDA to accelerate tabular data preprocessing and model execution. It provides a suite of tools for training and deploying classification, regression, and clustering models on NVIDIA GPUs and GPU clusters. The library is designed for scalability, offering a distributed GPU machine learning environment that can spread computation and data across multiple hardware accelerators and nodes to handle datasets exceeding single-device memory. It mirrors standard estimator interfaces to allow the replacement of CPU-based models
GPU-accelerated implementations of traditional machine learning algorithms.
Python - microsoft/hummingbird
microsoft/hummingbird
3,536在 GitHub 上查看Hummingbird compiles trained ML models into tensor computation for faster inference.
Compiles trained ML models into efficient tensor computations.
Pythonmachine-learningneural-networkspytorch - flashml-org/flashlib
FlashML-org/flashlib
Library for accelerating classical machine learning operators on GPUs.
