george-hu-1019

norse

Deep learning with spiking neural networks (SNNs) in PyTorch.

DeepShift

Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298

FairMOT

A simple baseline for one-shot multi-object tracking

GaitSet

A flexible, effective and fast cross-view gait recognition network

GaitSet_Implements

Infinite-ISP

A camera ISP (image signal processor) pipeline that contains modules with simple to complex algorithms implemented at the application level.

Infinite-ISP_ReferenceModel

A Python based fixed-point implementation of the Infinite-ISP design for ASIC and FPGA design and verification.

linux

Linux kernel for Khadas VIMs & Edge

PySNN

Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration

pytorch-Learning-to-See-in-the-Dark

Learning to See in the Dark using pytorch 1.0.0

Spiking-Neural-Network

Pure python implementation of SNN

Spiking-Neural-Network-1

Basic SNN propogating spikes between LIF neurons

Infinite-ISP_TuningTool

Infinite-ISP Tuning Tool is a console-based ISP (image signal processor) tuning application that is specifically designed to tune various modules in the Infinite-ISP_GM.

SpykeTorch

High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

StereoCensus

Verilog Implementation of the Census Transform Stereo Vision algorithm

Ultra-low-field-MRI-Scanner

unet_pytorch

Unet implemented in pytorch for semantic segmentation using COCO stuff dataset

yolact

A simple, fully convolutional model for real-time instance segmentation.

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS