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.

svm
regression
classification
machine-learning

chncwang /InsNet

C++6813

InsNet Runs Instance-dependent Neural Networks with Padding-free Dynamic Batching.

deep-learning-library
dynamic-batching
nlp

openframeworks-vk /openFrameworks

C++684

openFrameworks is a community-developed cross platform toolkit for creative coding in C++.

vulkan
openframeworks
wip

nilseuropa /ros_ncnn

C++6518

ROS wrapper for NCNN neural inference framework

INdT /Quasi-Engine

C++5621

Quasi Engine is a framework that intends to be a complete toolset to ease 2d game development, providing ready-to-use QML elements representing basic game entities needed by most of games.

aaaddress1 /theArk

C++5411

Windows x86 PE Packer In C++

ItKindaWorks /ESPHelper32

C++539

### This project has been merged ESPHelper. Please use https://github.com/ItKindaWorks/ESPHelper ### A port of the ESPHelper library for ESP32 devices

Sparell /Phraser

C++524

Phraser is a phrase generator using n-grams and Markov chains to generate phrases for passphrase cracking. The generated phraselists can be used as wordlists in your favourite password cracking application.

cmake-basis /BASIS

C++4910

CMake BASIS makes it easy to create sharable software and libraries that work together. This is accomplished by combining and documenting some of the best practices and utilities available. This project supplies a fully integrated suite of functionality to make the whole process seamless!