Awesome List Updates on Sep 11, 2023

10 awesome lists updated today.

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1. Awesome Kustomize

Plugins / Generators

• Merger (⭐27) - Generating manifests seamlessly by extending Kustomize merge strategies using schemaless StrategicMerge (Containerized KRM, Exec KRM).

2. Awesome Coq

Resources / Course Material

• Program Logics (⭐37) - Companion Coq sources for a course on program logics at Collège de France.

3. Awesome Raspberry Pi

Projects

• RaspiBolt - Beginner’s Guide to ️⚡Lightning️⚡ on a Raspberry Pi.

4. Colorful

Tools / Web App

• Colorca - Design an accessible color palette for digital products in HSLuv color space

5. Awesome Vite

Get Started

• bati (⭐210) - Scaffolding a Vike project.

Framework-agnostic Plugins / Bundling

• vite-plugin-node-polyfills (⭐281) - Polyfill Node's Core Modules for browser environments.

6. Awesome Neovim

Tree-sitter Supported Colorscheme / Diagnostics

• judaew/ronny.nvim (⭐16) - A dark colorscheme, which mostly was inspired by the Monokai originally created by Wimem Hazenberg.

7. Awesome Firebase

Other / iOS

• 🔧 Dynaboard - Generate low-code web apps from Firebase using AI.

8. Awesome Mac

Proxy and VPN Tools / Audio Record and Process

• RerouteMe - An easy one-click macOS Proxy Configuration app.

• TigerVPN - VPN Client for Mac.

Utilities / Menu Bar Tools

• PowerMeister - Conserve energy and improve Battery-Life on your MacBook.

9. Static Analysis

Multiple languages / Other

• CodeSonar from GrammaTech ©️ — Advanced, whole program, deep path, static analysis of C, C++, Java and C# with easy-to-understand explanations and code and path visualization.

10. Awesome Jax

Libraries / New Libraries

• purejaxrl - Vectorisable, end-to-end RL algorithms in JAX.

• Lorax - Automatically apply LoRA to JAX models (Flax, Haiku, etc.)

• SCICO - Scientific computational imaging in JAX.

• BrainPy - Brain Dynamics Programming in Python.

• OTT-JAX - Optimal transport tools in JAX.

Tutorials and Blog Posts / NumPyro

• Achieving 4000x Speedups with PureJaxRL - A blog post on how JAX can massively speedup RL training through vectorisation.

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