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A collection of projects designed to help developers quickly get started with building deployable applications using the Anthropic API
Chat first code editor. To download the packaged app:
A modular graph-based Retrieval-Augmented Generation (RAG) system
Retrieval Augmented Generation (RAG) chatbot powered by Weaviate
LSP-AI is an open-source language server that serves as a backend for AI-powered functionality, designed to assist and empower software engineers, not replace them.
ModelScope: bring the notion of Model-as-a-Service to life.
Build Multimodal AI Agents with memory, knowledge and tools. Simple, fast and model-agnostic.
Efficient, consistent and secure library for querying structured data with natural language
Neo AI integrates into the Linux terminal, capable of executing system commands and providing helpful information.
Yaraa (Yet Another Rag Automation Attempt) is a library that tackles the boring aspects of managing Rag pipelines, so you don't have to.
A simple, easy-to-hack GraphRAG implementation
AWS AI Stack – A ready-to-use, full-stack boilerplate project for building serverless AI applications on AWS
PyTorch implementation of a neurosymbolic framework that integrates neural networks with Markov Logic Networks (MLNs).
Markov Logic Network construction, inference and debugging
Statistics 5000, Fall 2021, Final Project : Markov Logic Networks
Implementation of Markov Logic Networks in Python
❇️ The best modules for Markov Logic Networks condensed in one framework.
Alchemy 2 - Inference and Learning in Markov Logic
Production ready LLM model compression/quantization toolkit with accelerated inference support for both cpu/gpu via HF, vLLM, and SGLang.
g1: Using Llama-3.1 70b on Groq to create o1-like reasoning chains
Add AI capabilities to your file system using Ollama, Groq, OpenAi and other's api
klmbr - a prompt pre-processing technique to break through the barrier of entropy while generating text with LLMs
Superfast AI decision making and intelligent processing of multi-modal data.
Any model. Any hardware. Zero compromise. Built with @ziglang / @openxla / MLIR / @bazelbuild
The yt command stands for YouTube Transcript, and pulls transcripts from YouTube.
An AI-powered file management tool that ensures privacy by organizing local texts, images. Using Llama3.2 3B and Llava v1.6 models with the Nexa SDK, it intuitively scans, restructures, and organiz…