Pinned Repositories
CancerCellSegmentationUsingAPI
ChatApp-Firebase-RealTime-Database
codebench
[TECS'23] A project on the co-design of Accelerators and CNNs.
ComplierWorkingSimulationRoutingAlgorithm
Capstone Phase 2 - Simulation of complier working for hardware accelerator
DCGAN
Capstone Phase 1 - Synthetic image generation of lung and colon cancer histopathological image
Eyeriss-inspired-accelerator
Capstone Phase 2 - Eyeriss V1 and V2 inspired accelerator with 3D PE array for generative image models
medigan
medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis
StableDiffusionTextToImage
Synthetic-Medical-Images
Generating Medical Images using GANs
tensorflow
An Open Source Machine Learning Framework for Everyone
Yukiona1996's Repositories
Yukiona1996/CancerCellSegmentationUsingAPI
Yukiona1996/ChatApp-Firebase-RealTime-Database
Yukiona1996/codebench
[TECS'23] A project on the co-design of Accelerators and CNNs.
Yukiona1996/ComplierWorkingSimulationRoutingAlgorithm
Capstone Phase 2 - Simulation of complier working for hardware accelerator
Yukiona1996/DCGAN
Capstone Phase 1 - Synthetic image generation of lung and colon cancer histopathological image
Yukiona1996/Eyeriss-inspired-accelerator
Capstone Phase 2 - Eyeriss V1 and V2 inspired accelerator with 3D PE array for generative image models
Yukiona1996/medigan
medigan - A Python Library of Pretrained Generative Models for Medical Image Synthesis
Yukiona1996/StableDiffusionTextToImage
Yukiona1996/Synthetic-Medical-Images
Generating Medical Images using GANs
Yukiona1996/tensorflow
An Open Source Machine Learning Framework for Everyone
Yukiona1996/transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Yukiona1996/U-Net-Biomedical-Image-Segmentation
Implementation of the paper titled - U-Net: Convolutional Networks for Biomedical Image Segmentation @ https://arxiv.org/abs/1505.04597
Yukiona1996/Vitis-AI
Vitis AI is Xilinx’s development stack for AI inference on Xilinx hardware platforms, including both edge devices and Alveo cards.