Fully opensource spiking neural network accelerator

Notebooks illustrating the use of Norse, a library for deep-learning with spiking neural networks.

Code samples for my book "Neural Networks and Deep Learning"

Code for paper "Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks"

Official Codebase of the ACSAC 2025 paper "Securing On-device Transformer with Hardware Binding and Reversible Obfuscation"

WaferLLM: Large Language Model Inference at Wafer Scale

Hardware-Aware LoRA Training

The repository corresponds to our paper https://www.nature.com/articles/s41467-024-51110-5

This repository provides the implementation of the framework introduced in paper "Uncertainty Estimation in Neural Network-enabled Side-channel Analysis and Links to Explainability"

Deep Residual Learning in Spiking Neural Networks

RBNN

Quantization-aware training with spiking neural networks

A fast high-resolution time-to-digital converter in the Red Pitaya Zynq-7010 SoC

"DeepCode: Open Agentic Coding (Paper2Code & Text2Web & Text2Backend)"

SYNtzulA is the open-source ASIC version of SYNtzulu, originally implemented on FPGA. This project aims to make Spiking Neural Network (SNN) hardware more accessible using open-source tools and tec…

This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.

Lightweight, open-source AI agent for your tools, chats, and workflows.

A nest brain simulator based on FPGA(LIF NEURON)

FPGA Accelerator for CNN using Vivado HLS

Quantized ResNet50 Dataflow Acceleration on Alveo, with PYNQ

Spiker is a Python-based framework for designing and generating efficient FPGA hardware accelerators for spiking neural networks, covering training, optimization, and automatic VHDL generation for …

FPGA-based SNN Accelerator Toy

ICLR 2023, Spikformer: When Spiking Neural Network Meets Transformer