flashlight
A fast, flexible C++ standalone library for machine learning with high-performance defaults and total internal modifiability.
What is flashlight?
Flashlight is a fast, flexible machine learning library written entirely in C++ from Facebook AI Research. It provides a standalone framework for building and experimenting with neural networks, featuring high-performance tensor computation via ArrayFire and a small, modifiable codebase. It solves the need for an efficient, scalable, and extensible research tool in native C++.
Machine learning researchers and engineers who require high-performance, customizable C++ frameworks for experimenting with new algorithms and models, particularly in domains like speech recognition, computer vision, and language modeling.
Developers choose Flashlight for its total internal modifiability, small footprint, and high-performance defaults, enabling rapid iteration without sacrificing efficiency. Its native C++ design and integration with ArrayFire provide a powerful, unopinionated alternative to larger frameworks.
Overview
A C++ standalone library for machine learning
Use Cases
Best For
- Building custom neural network architectures in C++
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