100 Days of ML Coding
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AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2
: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
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
LIBSVM -- A Library for Support Vector Machines
NixOS MicroVMs
ThunderSVM: A Fast SVM Library on GPUs and CPUs
SIPVicious OSS is a VoIP security testing toolset. It helps security teams, QA and developers test SIP-based VoIP systems and applications. This toolset is useful in simulating VoIP hacking attacks against PBX systems especially through identification, scanning, extension enumeration and password cracking.
Java Statistical Analysis Tool, a Java library for Machine Learning
Object detection system using deformable part models (DPMs) and latent SVM (voc-release5). You may want to use the latest tarball on my website. The github code may include code changes that have not been tested as thoroughly and will not necessarily reproduce the results on the website.
Ruby language bindings for LIBSVM
use svm to hack simple captcha
This is the Ruby interface to LIBLINEAR (much more efficient than LIBSVM for text classification and other large linear classifications)
libsvm go version
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.
No description provided by the repository host.
Example of implementing Support Vector Machine (SVM) with RBF (Gaussian) kernel in Ruby using rb-libsvm. .
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