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Discover 4,064 open source projects
Showing 801-820 of 4,064 projects
likedan/Awesome-CoreML-Models
Largest list of pre-trained machine learning models for Apple's Core ML framework for iOS 11+.
PaddlePaddle/models
Officially maintained deep learning models by PaddlePaddle, covering computer vision, NLP, speech, and more.
Gazler/githug
Githug is a command-line Git game designed to help developers learn Git through interactive challenges.
afshinea/stanford-cs-230-deep-learning
A collection of cheatsheets for the Stanford CS 230 Deep Learning course, covering key concepts and techniques.
macrozheng/springcloud-learning
This is a comprehensive Spring Cloud learning resource for building microservices applications.
hijkzzz/Awesome-LLM-Strawberry
A curated collection of LLM papers, blogs, and projects, focused on OpenAI o1 and reasoning techniques.
chyingp/nodejs-learning-guide
A comprehensive learning guide for Node.js, featuring notes, examples, and best practices.
fangwei716/30-days-of-react-native
A collection of React Native demos and examples for learning and building mobile apps.
moodle/moodle
Moodle is an open-source learning platform that enables educators to create and manage online courses.
poloclub/transformer-explainer
An interactive visualization tool that explains how transformer language models work, targeting AI-focused developers.
feiyangqingyun/QWidgetDemo
A collection of open-source Qt demo projects suitable for beginners to learn and explore Qt development.
paragonie/awesome-appsec
A curated list of resources for learning about application security, including security experts, OWASP, and more.
pliang279/awesome-multimodal-ml
A comprehensive reading list for research topics in multimodal machine learning.
amitness/learning
A learning repository focused on AI tools, machine learning, and natural language processing for developers.
vespa-engine/vespa
Vespa is an AI-powered search and recommendation engine for building data-driven, scalable applications.
polakowo/vectorbt
A high-performance Python library for backtesting, algorithmic trading, and quantitative research.
xiaobaiTech/golangFamily
A comprehensive Go learning resource covering interview questions, guides, knowledge graphs, and more for Go developers.
interpretml/interpret
Interpret is a framework for fitting interpretable machine learning models and explaining black-box models.
yenchenlin/DeepLearningFlappyBird
A deep reinforcement learning-based implementation of the Flappy Bird game.
Atcold/NYU-DLSP20
NYU Deep Learning Spring 2020 project for building and experimenting with deep learning models using PyTorch.
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