A model-agnostic visual debugging tool for machine learning.
Directory
Search results
Published directory entries matching your search.
A Julia package for manifold learning and nonlinear dimensionality reduction.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
MathArena 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.
A blog about open source software, graph databases, cloud native architectures, information theory, artificial intelligence, and machine learning.
MegEngine is a fast, scalable and easy-to-use deep learning framework, with auto-differentiation.
Meituan Long Cat provides machine-learning models, research, training resources, or evaluation tools.
An open source implementation of methods for multi-label classification and evaluation (extension to Weka).
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
A platform for deploying and serving machine learning models.
Flexible Deep Learning Framework in Julia.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
An open source robotics benchmark for meta- and multi-task reinforcement learning.
Neural networks (boltzmann machines, feed-forward and recurrent nets), Gaussian Processes.
A distributed machine learning framework Apache Spark.
List of several machine learning libraries.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
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.
A minimal, educational, Pythonic implementation of autograd (~100 loc).
Minion AI provides machine-learning models, research, training resources, or evaluation tools.
An asynchronous engine for continuous & autonomous machine learning, built for real-time usage.