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liquidSVM/liquidSVM

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.

C++ #apache-spark#c-plus-plus#classification#expectile-regression#machine-learning 1 awesome list 48 commits first commit 2017-04-22 3 history points updated 2020-02-20
saten-private/BabyCommandAGI

BabyCommandAGI is designed to test what happens when you combine CLI and LLM, which are older computer interfaces than GUI. Based on BabyAGI, and using Latest LLM API. Imagine LLM and CLI having a conversation. It's exciting to think about what could happen. I hope you will all try it out.

Python #ai#anthropic#anthropic-api#artificial-intelligence#autonomous-agents 1 awesome list 672 commits 2 history points updated 2025-06-11