Header-Only C++ Library for Graph Representation and Algorithms
- search-algorithm
- dijkstra-algorithm
- graph
- graph-algorithms
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Header-Only C++ Library for Graph Representation and Algorithms
captcha break based on opencv2, tesseract-ocr and some machine learning algorithm.
ThunderGBM: Fast GBDTs and Random Forests on GPUs
Framework and Library for Distributed Online Machine Learning
oneAPI Data Analytics Library (oneDAL)
Unofficial static recompilation of the Xbox 360 version of Need for Speed: Most Wanted (2005): a native port for Steam Deck, Steam Machine, Steam Frame, Linux and Mac (iPhone/iPad: sideload the experimental IPA or build it yourself). Bring your own disc: no game files included. Not affiliated with EA or Valve.
Large collection of number systems providing custom arithmetic for mixed-precision algorithm development and optimization for AI, Machine Learning, Computer Vision, Signal Processing, CAE, EDA, control, optimization, estimation, and approximation.
A lightweight C++ machine learning library for embedded electronics and robotics.
An Event-Driven, Asynchronous, Behavioral State Machine Library for ROS (Robotic Operating System) applications written in C++
Ruby language bindings for LIBSVM
Open source Windows x64 PE packer and crypter. Compresses and encrypts executables with a custom virtual machine into a self extracting stub.
Cancer Imaging Phenomics Toolkit (CaPTk) is a software platform to perform image analysis and predictive modeling tasks. Documentation: https://cbica.github.io/CaPTk
⚡ Open-source software for deep learning-based digital pathology
Serverless ML Framework
EOSIO Ethereum Virtual Machine (EVM)
The repository host gives no description.
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.
DuckDB extension to fetch pages from Wayback Machine & Common Crawl
Prototype of an intelligent safety system for detecting driver drowsiness
A Ruby interface to the Timbl machine-learning library
Header-only C++11 library using OpenCV for high-throughput image-based plant phenotyping