Implementation of the Tolman Eichenbaum Machine in pytorch

A relatively basic implementation of RWKV in Rust written by someone with very little math and ML knowledge. Supports 32, 8 and 4 bit evaluation. It can also directly load PyTorch RWKV models.

Burn is a next generation tensor library and Deep Learning Framework that doesn't compromise on flexibility, efficiency and portability.

A Python implementation of active inference for Markov Decision Processes

Distribute and run LLMs with a single file.

LogicBench is a natural language question-answering dataset consisting of 25 different reasoning patterns spanning over propositional, first-order, and non-monotonic logics.

Universal memory layer for AI Agents

g1: Using Llama-3.1 70b on Groq to create o1-like reasoning chains

Python tool for converting files and office documents to Markdown.

RamaLama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of …

⚙️🦀 Build modular and scalable LLM Applications in Rust

an open source, extensible AI agent that goes beyond code suggestions - install, execute, edit, and test with any LLM

Building a Secure and Interoperable Future for AI-Driven Payments.

AG-UI: the Agent-User Interaction Protocol. Bring Agents into Frontend Applications.