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PainterEngine is a application/game engine with software renderer,PainterEngine can be transplanted to any platform that supports C

A minimal GPU design in Verilog to learn how GPUs work from the ground up

UVM AHB VIP

TinyVers Heterogeneous SoC consists of a reconfigurable FlexML accelerator, a RISC-V processor, an eMRAM and a power management system.

Using Xilinx tools, the Unet architecture will be implemented and optimized for FPGA use. Some convolution-transposed conv sub-parts of the network are being accelerated.

a demo for lits17 semantic segmentation

Image Segmentation on Liver Scans

Image_segmentation_Unet_v2 (1). Apply your new knowledge of CNNs to one of the hottest (and most challenging!) fields in computer vision: object detection.

The official code for the paper 'Structured Knowledge Distillation for Semantic Segmentation'. (CVPR 2019 ORAL) and extension to other tasks.

An implementation of Knowledge distillation for segmentation, to train a small (student) UNet from a larger (teacher) UNet thereby reducing the size of the network while achieving performance simil…

Multi Class Cardiac chamber segmentation

Brain Tumor Segmentation done using U-Net Architecture.

U-Net Biomedical Image Segmentation

Official implementation of paper "Masked Distillation with Receptive Tokens", ICLR 2023.

First lesson for you to use DNNDK, also it can be helpful for your AI learning

Unofficial Pytorch-Implementation of "1M parameters are enough? A lightweight CNN-Based model for medical image segmentation".

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …

PaddleSlim is an open-source library for deep model compression and architecture search.

UNET architecture written in simple C. Every function is based on my higher level implementation(python) and optimized for FPGA/ARM

Code implementation of Data Efficient Stagewise Knowledge Distillation paper.

The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."

Semantic segmentation of urban images using U-Net network architectures

Experiment with U-net architecture on Cityscapes dataset.

DeepCrack: A Deep Hierarchical Feature Learning Architecture for Crack Segmentation, Neurocomputing.