100 Days of ML Coding
- machine-learning
- machine-learning-algorithms
- infographics
- tutorial
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100 Days of ML Coding
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. Each technique has a detailed notebook tutorial.
🌟 Curated design resources from all over the world.
HTML5 Security Cheatsheet - A collection of HTML5 related XSS attack vectors
Pitchfork is a Set of C++ Project Conventions
Data structure and algorithm library for go, designed to provide functions similar to C++ STL
A toolbox of AI modules written in Swift: Graphs/Trees, Support Vector Machines, Neural Networks, PCA, K-Means, Genetic Algorithms
A highly optimized double-ended queue
Thread-safe, persistent, immutable collections for the Crystal language
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.
Binding to Cairo, a 2D Vector Graphics Library.
Frutiger Aero theme set for Omarchy on Hyprland — glassmorphism, transparent windows, blur, authentic wallpapers