12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
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MNN: A blazing-fast, lightweight inference engine battle-tested by Alibaba, powering high-performance on-device LLMs and Edge AI.
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
ML.NET is an open source and cross-platform machine learning framework for .NET.
Simple and Distributed Machine Learning Python Library porting ML algorithms for Spark
Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
modular quant framework.
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.