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Agentic Design Patterns: A Hands-On Guide to Building Intelligent Systems by Antonio Gulli
AirPods liberated from Apple's ecosystem.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Our library for RL environments + evals
A curated list of 100+ libraries and frameworks for AI engineers building with LLMs
100+ Fine-tuning Tutorial Notebooks on Google Colab, Kaggle and more.
TensorFlow 2.X hakkında (Türkçe) öğretici notebooklar paylaşıyorum. Repoyu yararlı bulursanız yıldızlayarak destek olabilirsiniz :)
Official code repo for the O'Reilly Book - "Hands-On Large Language Models"
Lean 4 programming language and theorem prover
An open-source, code-first Python toolkit for building, evaluating, and deploying sophisticated AI agents with flexibility and control.
Probably the best curated list of data science software in Python.
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
🤖⚡ 50 scikit-learn tips
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
📝 An awesome Data Science repository to learn and apply for real world problems.
State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
An open-source RAG-based tool for chatting with your documents.
[WIP] Resources for AI engineers. Also contains supporting materials for the book AI Engineering (Chip Huyen, 2025)
Probably the best curated list of data science software in Python.
Now we have become very big, Different from the original idea. Collect premium software in various categories.
An opinionated list of awesome Python frameworks, libraries, software and resources.