The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment

Master AI inference, AI agent harness systems, and hardware engineering — then design a physical AI chip. That is the goal.

This is my senior project, we aim to design a Low-cost-AI-Accelerator based on Google's Tensor Processing Unit.

Mobilint Model Zoo Project

AI, IoT and Robotics Hardware + ROS

[NeurIPS'24] DEX: Data Channel Extension for Efficient CNN Inference on Tiny AI Accelerators

FPGA-based hardware accelerator for Transformer neural networks enabling efficient deep learning inference on edge devices.

This is my senior project. Aims to implement the AI accelerator self-test and self-recovery architecture proposed in the paper "STRAIT: Self-Test and Self-Recovery for AI Accelerator". STRAIT is a unified solution that provides self-test, self-diagnosis, and self-recovery functions for systolic array-based AI accelerators.

This repository collects all information about TPU architecture, programming, and provides tutorials.

MLIR-based N:M sparse matmul compiler + MapleSilicon runtime (JSON-driven, dimension-aware).

An open and practical guide to Edge AI Engineering.

Use google.

A collaborative repository for our Bachelor's thesis, focused on optimizing the Cell Outage Compensation (COC) algorithm in Self-Organizing Networks (SONs). Leveraging AI-Hardware Acceleration, the project aims to bolster 5G network reliability, particularly for emerging technologies like autonomous driving.

Open-source AGI accelerator silicon roadmap — 2026-2027 foundry-realistic. Ends the scaling war.

Transparent benchmark cards, JSON artifacts, and visual tools for photonic AI accelerator energy/noise claims.

homework and labs for "SOPC Design Practice and FPGA System Design (2026 Spring)" in NSYSU, Taiwan

Analog Robustness CI — will your AI model survive analog hardware? Break-even economics + noise/drift/ADC robustness simulation for AIMC and photonic accelerators.

This project is about performance evaluation of Hardware Accelerators for AI applications. The project was created in sync with the "Hardware Accelerators for AI - Hands On" Course at the Otto-von-Guericke University

Lifting Wavelet Transform (LWT) library optimized for Tenstorrent AI accelerators using tt-metal.

The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment