Stars
This project is designed for a simple LLM agent with tools on a clinical knowledge graph in Neo4j.
The AI framework that adds the engineering to prompt engineering (Python/TS/Ruby/Java/C#/Rust/Go compatible)
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
Build Windows installers for Python applications
Official repository for the paper "Grokfast: Accelerated Grokking by Amplifying Slow Gradients"
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
hnsqlite integrates hnswlib and sqlite for simple text embedding search
Rembg is a tool to remove images background
llama3 implementation one matrix multiplication at a time
Inpaint anything using Segment Anything and inpainting models.
Algorithmic trading and backtesting framework in pure julia
Examples of calling OpenRouter models from Python code
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
Local llamaindex RAG to assist researchers quickly navigate research papers
User-friendly AI Interface (Supports Ollama, OpenAI API, ...)
Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Time Machine style backup with rsync.
Python module that makes using the World Bank's API a lot easier and more intuitive.