The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment
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Updated
Sep 18, 2026 - Python
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.
Mobilint Model Zoo Project
Design a Low-cost-AI-Accelerator based on Google's Tensor Processing Unit Version 1 in TSMC 16nm
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.
An open and practical guide to Edge AI Engineering.
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).
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.
Silicon as a Distributed System: Closing the Cross-Layer Loop from Spatial Manufacturing Defects to Wafer-Level Economics
Open-source AGI accelerator silicon roadmap — 2026-2027 foundry-realistic. Ends the scaling war.
homework and labs for "SOPC Design Practice and FPGA System Design (2026 Spring)" in NSYSU, Taiwan
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.
Research repository
Mirrored AI 8850 acceleration module driver
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