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.
Community guide to securing and improving privacy on macOS.
🚀 A curated collection of AI engineering resources, roadmaps, tools, and projects covering LLMs, RAG, AI Agents, MCP, fine-tuning, evaluations, and production AI systems.
Translated100-Days-Of-ML-Code Chinese version
Best Practices on Recommendation Systems
TranslatedThe pytorch handbook is an open-source book that aims to help friends who want to use PyTorch for deep learning development and research get started quickly. All of the PyTorch tutorials it contains have been tested to ensure they run successfully.
Code for Machine Learning for Trading, 3rd edition — from data sourcing to live execution.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
Machine Learning Engineering Open Book
TranslatedQiu Xipeng's "Neural Networks and Deep Learning" (神经网络与深度学习), Second Edition and General Edition: e-book, chapter table of contents, learning resources, and errata.
A curated list of awesome applications, softwares, tools and shiny things for macOS.
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
:book: A curated list of resources dedicated to Natural Language Processing (NLP)
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama model family and using them on various provider services
machine learning and deep learning tutorials, articles and other resources
TranslatedDeep Learning Tutorial, excellent articles
TranslatedThis project covers the knowledge points and code implementations frequently asked about in Machine Learning, Deep Learning, and NLP interviews, and it is also the basic theoretical knowledge that an algorithm engineer must master.
TranslatedCollecting & recommending excellent Apps/hardware/tips/peripherals, etc.
📺 Discover the latest machine learning / AI courses on YouTube.
Translated"Lee Hung-yi's Deep Learning Tutorial" (recommended by Professor Hung-yi Lee 👍, the Apple Book 🍎), PDF download address: https://github.com/datawhalechina/leedl-tutorial/releases
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
A neural network that transforms a design mock-up into a static website.