Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
- algorithms
- data-structures
- datastructures
- c
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Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.
Affordable WiFi hacking platform for testing and learning
Learning operating system development using Linux kernel and Raspberry Pi
Nmap - the Network Mapper. Github mirror of official SVN repository.
FFmpeg libav tutorial - learn how media works from basic to transmuxing, transcoding and more. Translations: 🇺🇸 🇨🇳 🇰🇷 🇪🇸 🇻🇳 🇧🇷 🇷🇺
A 2.78-trillion-parameter Kimi K3 running inference on a single CPU in 8.24 GB of RAM. Portable C99: no BLAS, no framework, no GPU.
A library for audio and music analysis, feature extraction.
simple neural network library in C99
Learning eBPF, published by O'Reilly - out now! Here's where you'll find a VM config for the examples, and more
GRASS - free and open-source geospatial processing engine
Gibson Environments: Real-World Perception for Embodied Agents
RNNLIB is a recurrent neural network library for sequence learning problems. Forked from Alex Graves work http://sourceforge.net/projects/rnnl/
A lightweight C library for artificial neural networks
Ruby library for interfacing with FANN (Fast Artificial Neural Network)
A Tool for Automatic Analysis of Malware Behavior
A C library for product recommendations/suggestions using collaborative filtering (CF)
Protect your SIP Servers from bad actors at https://sentrypeer.org
Machine Learning and Digital Signal Processing for MicroPython
Safe Exam Browser for macOS and iOS
Legend of Elya — N64 game with a real 6.36M-parameter ternary transformer on the VR4300 MIPS III CPU. Zelda-style dungeon, AI NPCs, byte-level inference at 1.23 tok/s scalar / 2.19 tok/s on the RSP overlay (measured under ares, never on silicon). Built with libdragon.
Recurrent Neural Network library for Ruby
CatBoost a fast, scalable, high performance Gradient Boosting on Decision Trees library. Golang using Cgo for blazing fast inference CatBoost Model 🚀
Reducing Bias in Modeling Real-world Password Strength via Deep Learning and Dynamic Dictionaries