Chameleon: A Multiplier-Free Temporal Convolutional Network Accelerator for End-to-End Few-Shot and Continual Learning from Sequential Data

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

⚡ A seamless integration of HuggingFace Transformers & Diffusers with RBLN SDK for efficient inference on RBLN NPUs.

KV260 integration lane for PCCX™ v002 LLM IP-core bring-up, validation, and board/runtime evidence.

PyTorch extension for Rebellions NPU

PCCX™ specification, documentation, and ecosystem coordination hub for open AI accelerator IP.

Pytorch implementation of TRAM: Training Approximate Multiplier Structures for Low-Power AI Accelerators

Rapid prototyping framework for deploying and evaluating ML models on hardware

NPU soft IP, designed for true parallel execution on the edge.

T1C — Open-Source AI Accelerator Architecture. Like RISC-V did for CPUs, T1C does for AI chips. Fully open source, MIT Licensed.

Quiet the fan on Tenstorrent Blackhole PCIe accelerators under Windows. Minimal KMDF driver that sends ARC ASIC_STATE0 on D0Entry.

Curated Edge AI resources for computer vision & audio: hardware, frameworks, benchmarks, literature, and communities (excluding mobile).

The Hyze IPU (Intelligence Processing Unit) is a revolutionary hardware-software co-design project aimed at redefining the efficiency and security of AI inference. Unlike traditional GPU-centric architectures, the Hyze IPU leverages a heterogeneous computing model that seamlessly integrates CPU, GPU, and a custom-built IPU into a single, AI chip

This project implements AXI-based matrix multiply accelerator.

INT8 Systolic-Array AI Accelerator on Zynq SoC with HW-SW Co-Design and Roofline Performance Analysis

A complete RISC-V SoC in SystemVerilog: pipelined CPU + memory-mapped systolic-array NPU accelerator, running real firmware that offloads a matrix multiply. Includes a small RV32I assembler. Self-checking testbench + CI.

FORCE AI: Fast Optimization for Resource-Constrained Efficient AI Inference

A Kubernetes Device Plugin for Hailo AI accelerators, enabling seamless scheduling of AI inference workloads on edge devices like the Raspberry Pi AI HAT+.