- Berkeley, CA
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21:43
(UTC -08:00) - @[email protected]
Stars
Headless TypeScript ORM with a head. Runs on Node, Bun and Deno. Lives on the Edge and yes, it's a JavaScript ORM too 😅
A web browser that plays old world blues to build new world hope
Python wrapper around openai library to send events to Libretto
libretto-ai / anthropic-ts
Forked from libretto-ai/openai-tsTypeScript wrapper around Anthropic library to send events to Libretto
TypeScript wrapper around openai library to send events to Libretto
An Introduction to Statistical Inference and Regression
An innovative library for efficient LLM inference via low-bit quantization
Find and fix problems in your JavaScript code.
Tool for helping developers keep their code bases clean and decoupled. It allows visualising a code base complexity using a 3d force-directed graph of files and the dependencies between them.
Promise packages, patterns, chat, and tutorials
🚀 A fully-featured, production ready caching GraphQL client for every UI framework and GraphQL server.
A python implementation of priompt - a neat way of managing context from diverse sources for LLM applications.
Build your design system with React, Svelte, Vue, and Solid. Powered by State Machines
Public repository of the QuickJS Javascript Engine.
This contains all config files and settings for my projects for @ScanBerkeley (X/Twitter)
The missing star history graph of GitHub repos - https://star-history.com
Browser extension that generates API specs for any app or website
DSPy: The framework for programming—not prompting—language models
Making large AI models cheaper, faster and more accessible
Godot Engine – Multi-platform 2D and 3D game engine
Converts text input or URL into knowledge graph and displays
Marsha is a functional, higher-level, English-based programming language that gets compiled into tested Python software by an LLM
The unofficial DSPy framework. Build LLM powered Agents and "Agentic workflows" based on the Stanford DSP paper.
Optimize React performance and make your React 70% faster in minutes, not months.