Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Directory
Search results
Published directory entries matching your search.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Lightly is a computer vision framework for self-supervised learning.
Explaining the predictions of any machine learning classifier.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Class on machine w/ PDF, lectures, code.
Machine Learning library for the web, Node.js and developers.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A model-agnostic visual debugging tool for machine learning.
A Julia package for manifold learning and nonlinear dimensionality reduction.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Application-oriented deep reinforcement learning framework addressing real-world decision problems.
A production-ready library for multicalibration, fairness, and bias correction in machine learning models.
MegEngine is a fast, scalable and easy-to-use deep learning framework, with auto-differentiation.