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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
A playbook for systematically maximizing the performance of deep learning models.
Community guide to securing and improving privacy on macOS.
A neural network that transforms a design mock-up into a static website.
Natural Language Processing Tutorial for Deep Learning Researchers
Go DDD example application. Complete project to show how to apply DDD, Clean Architecture, and CQRS by practical refactoring.
TranslatedFull-stack learning roadmap and Chinese tutorials for large language models (LLM)🔥: covers Prompt Engineering, RAG, AI Agent, MCP, fine-tuning, model deployment, Transformer, AI programming, and interviews at major tech companies, from beginner level to production practice.
📗 How to write cross-platform Node.js code
Linux Binary Exploitation
Instructional notebooks on music information retrieval.
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
:rainbow: discover the beautiful programming language that makes front-end web apps a joy to build and maintain!
A comprehensive guide on learning how to code cross platform mobile applications with the Flutter framework, from the ground up.
TranslatedBuild GPT-2 from scratch in PyTorch, step by step
Suricata Extreme Performance Tuning guide - Mark II
🔍 A step-by-step guide to parsing using Haskell parser combinators.