Torch7 library providing SVM implementations including SGD-based methods and LIBLINEAR wrapper.
Torch-SVM is a machine learning library for Torch7 that implements Support Vector Machine (SVM) algorithms. It provides efficient implementations of popular SVM methods, making it a valuable tool for researchers and developers working with classification tasks in the Torch ecosystem.
The project focuses on providing practical, production-ready SVM implementations that integrate smoothly with the Torch7 framework while maintaining compatibility with established SVM libraries.
Open-Awesome is built by the community, for the community. Submit a project, suggest an awesome list, or help improve the catalog on GitHub.