The main features of flashml-org/flashlib are: Model Optimization.
Open-source alternatives to flashml-org/flashlib include: microsoft/hummingbird — Hummingbird compiles trained ML models into tensor computation for faster inference. rapidsai/cuml — cuml is a GPU-accelerated machine learning library and framework that uses CUDA to accelerate tabular data…
Hummingbird compiles trained ML models into tensor computation for faster inference.
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