Demos for deep learning

deep learning for image processing including classification and object-detection etc.

visualization：filter、feature map、attention map、image-mask、grad-cam、human keypoint、guided-backpro

A demo to learn to use UNet-2D to solve the liver segmentation task.

liver segmentation using deep learning

NCM 软件插件管理器

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Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

CVPR 2024 论文和开源项目合集

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

🎨 Python Echarts Plotting Library

整理 pytorch 单机多 GPU 训练方法与原理

An easy guide to stable diffusion models.

To study pytorch can improve myself about deeplearing, so it is excited to create the repository. 为了更够更好地学习基于框架pytorch的深度学习，特地创建该仓库，用于记录如何通过pytorch完成深度学习的任务（如：文本分类、图像分类、语义分割、实例分割、目标检测等），同时也会不断更新一些像…

Prior Attention Network for Multi-Lesion Segmentation in Medical Images

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

医学影像数据集列表 『An Index for Medical Imaging Datasets』

这里主要存放做过的深度学习的一些实战项目

PyTorch implementation of neural style transfer algorithm

A list of all named GANs!

PyTorch implementations of Generative Adversarial Networks.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

PyTorch to Keras model convertor

A Collection of Variational Autoencoders (VAE) in PyTorch.

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Datasets, Transforms and Models specific to Computer Vision

100-Days-Of-ML-Code中文版