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++, developed by Facebook AI Research and creators of Torch and TensorFlow. It provides a standalone framework for building and training neural networks with high-performance defaults and total internal modifiability, enabling efficient research and deployment across domains like speech, vision, and text.
Machine learning researchers and engineers who need a high-performance, customizable C++ framework for developing and experimenting with neural networks, particularly in domains like automatic speech recognition, computer vision, and language modeling.
Developers choose Flashlight for its combination of performance, flexibility, and small footprint, offering total internal modifiability and efficient C++-native APIs without the overhead of larger frameworks, making it ideal for cutting-edge research and scalable applications.
Overview
A C++ standalone library for machine learning
Use Cases
Best For
- Building custom neural network architectures in C++ with full control over internals
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