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🎒 Token-Oriented Object Notation (TOON) – Compact, human-readable, schema-aware JSON for LLM prompts. Spec, benchmarks, TypeScript SDK.
A set of TypeScript related notes used for quick reference. The cheatsheet contains references to types, classes, decorators, and many other TypeScript related subjects.
Swift Package wrapping WhisperCore and whisper.xcframeworks for on-device speech-to-text transcription on iOS.
Quick illustration of how one can easily read books together with LLMs. It's great and I highly recommend it.
Kosmos: An AI Scientist for Autonomous Discovery - An implementation and adaptation to be driven by Claude Code or API - Based on the Kosmos AI Paper - https://arxiv.org/abs/2511.02824
Interactive web visualisation for handwritting detection using a simple neural network
Python Deep Learning, Third Edition, published by Packt
Official repository for the paper "CAP4D: Creating Animatable 4D Portrait Avatars with Morphable Multi-View Diffusion Models"
Open-source implementation of AlphaEvolve
VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models
Huly — All-in-One Project Management Platform (alternative to Linear, Jira, Slack, Notion, Motion)
PromptEnhancer is a prompt-rewriting tool, refining prompts into clearer, structured versions for better image generation.
Everything you need to know to build your own RAG application
Official inference framework for 1-bit LLMs
Paper2Agent is a multi-agent AI system that automatically transforms research papers into interactive AI agents with minimal human input.
Collection of awesome LLM apps with AI Agents and RAG using OpenAI, Anthropic, Gemini and opensource models.
Any model. Any hardware. Zero compromise. Built with @ziglang / @openxla / MLIR / @bazelbuild
"RAG-Anything: All-in-One RAG Framework"
MCP Discovery & Recommendation Service - Find the right MCP server for your needs
A collection of projects showcasing RAG, agents, workflows, and other AI use cases
AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.
UI over MCP. Create next-gen UI experiences with the protocol and SDK!
LLM agents built for control. Designed for real-world use. Deployed in minutes.