:keyboard: A curated list of awesome tools, demos and resources to go beyond LaTeX
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:keyboard: A curated list of awesome tools, demos and resources to go beyond LaTeX
:alien: A curated list of functional programming resources such as blog posts, communities, discussion topics, wikis and more.
Curated list of kubectl plugins
A curated Cyber "Security Orchestration, Automation and Response (SOAR)" awesome list.
A curated list of awesome JavaScript Games 🎮
:joy: :ok_hand: A curated list of delightful Unicode tidbits, packages and resources.
A curated list of awesome jq tools and resources.
Collection of tools and code examples to demonstrate best practices in using Amazon EC2 Spot Instances.
A curated list of awesome jQuery plugins, resources and other shiny things.
Awesome Sphinxdoc is a curated collection of valuable resources for Sphinx
A curated list of GitHub's awesomeness
Implementing LLM architectures from scratch in PyTorch
Source-linked Claude 5.5 video workflows: Opus and Sonnet demos, separately labeled next-Fable testing reports, prompts, tools and production evidence.
A curated list of webpack tools for web performance
A curated research map of Recursive Self-Improvement (RSI): models, agents, harnesses, embodied systems, automated AI R&D, benchmarks, and safety.
Resources for inspiration, lists of software, libraries and other stuff related to Motion UI design, animations and transitions.
🔧 A curated list of awesome dataset tools
A curated list of amazingly awesome CakePHP plugins, resources and shiny things.
A curated list of courses, online judges, visualizations, books and competitions for learning and practicing algorithms. English and Korean.
🧠+🎧 Build your music algorithms and AI models with the next-gen DAW 🔥
✨ A curated list of awesome Fiber middlewares, boilerplates, recipes, articles and tools.
full guide to help you integrate AI in your workflow, for both beginners and experienced users
:book: :articulated_lorry: Curated list of awesome resources: books, videos, articles about using TDD(Test Driven Development)
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning