Popular GitHub Repositories for Chips Act

Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN

Claude Code Curated Slash Commands that actually save time. Built by a dev tired of typing please act like a senior engineer in every conversation.

A list of ICs and IPs for AI, Machine Learning and Deep Learning.

Native, Apple Silicon–only local LLM server. Similar to Ollama, but built on Apple's MLX for maximum performance on M‑series chips. SwiftUI app + SwiftNIO server with OpenAI‑compatible endpoints.

MLX Omni Server is a local inference server powered by Apple's MLX framework, specifically designed for Apple Silicon (M-series) chips. It implements OpenAI-compatible API endpoints, enabling seamless integration with existing OpenAI SDK clients while leveraging the power of local ML inference.

Easy usage of Rockchip's NPUs found in RK3588 and similar chips

Explore LLM model deployment based on AXera's AI chips

This repository contains PyTorch implementation for the baseline models from the paper Utterance-level Dialogue Understanding: An Empirical Study

Code for the ICLR 2024 spotlight paper: "Learning to Act without Actions" (introducing Latent Action Policies)

A VS Code extension that allows your Copilot to act as local inference

freeact is a lightweight library for code-action based agents

A stream processing runtime that allows connecting any streaming data source to any destination and act on it

An optimized neural network operator library for chips base on Xuantie CPU.

The purpose of this project is to apply mediapipe to more AI chips.

Code for the paper: "Active Vision Might Be All You Need: Exploring Active Vision in Bimanual Robotic Manipulation"

LiveKit Client SDK for ESP32 series chips. Easily enable real-time audio, video, and data for embedded projects.

Unlock the full potential of your Apple Silicon-powered M3, M3 Pro, and M3 Max MacBook Pros by leveraging TensorFlow, the open-source machine learning framework. This repository is tailored to provide an optimized environment for setting up and running TensorFlow on Apple's cutting-edge M3 chips.

OSS AI Agent supervisor, for AI lifecycle. ?‍♀️Intelligent E2E oversight & compliance for trustworthy AI.

Evaluation of universal machine learning force-fields https://arxiv.org/abs/2412.10516

Framework for building and orchestrating agentic AI applications—fast, scalable, and enterprise-ready. With flow-based execution, built-in memory and state management, it enables resilient, tool-using agents that think, plan, and act in dynamic environments.