AiLearning:数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
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:zap:机器学习实战(Python3):kNN、决策树、贝叶斯、逻辑回归、SVM、线性回归、树回归
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
Statistical Machine Intelligence & Learning Engine
mlpack: a fast, header-only C++ machine learning library
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Math.NET Numerics
Powerful modern math library for PHP: Features descriptive statistics and regressions; Continuous and discrete probability distributions; Linear algebra with matrices and vectors, Numerical analysis; special mathematical functions; Algebra
Machine Learning in R
ThunderSVM: A Fast SVM Library on GPUs and CPUs
MLBox is a powerful Automated Machine Learning python library.
Owl - OCaml Scientific Computing @ https://ocaml.xyz
mlr3: Machine Learning in R - next generation
Artificial Neural Network
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
recheck for web apps – change comparison tool with local Golden Masters, Git-like ignore syntax and "Unbreakable Selenium" tests.
The foundational library of the Morpheus data science framework
A performant visual regression testing tool
Conversion of R Regression Output to LaTeX or HTML Tables
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.
Machine Learning Module for Single Layer Perceptron ML models, written in Rust for Typescript.