Detect and recognize the faces from camera / 调用摄像头进行人脸识别，支持多张人脸同时识别

毕业设计 使用pytorch进行深度学习网络模型训练，实现车型识别

UNet architecture and Keras code with ResBlock for segmentation

Malaria Detection using Deep Learning

ResNet-34 implementation of the paper "Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles" in Keras

AnimalsClassificationModel is a Python app that classifies animals from images using a ResNet34 model. It features a Streamlit interface and utilizes Plotly for visualization.

My PyTorch implementation of CNNs. All networks in this repository are using CIFAR-100 dataset for training.

Deep learning experiments to design a model to predict Parkinson's diseases with the images of Spiral/Wave test

Deep learning based solution to automatically analyze medical images for malaria testing

Research model for classification and feature extraction of dermatoscopic images

Various Classical Deep-learning Algorithm coded by Tensorflow and Pytorch framework

End-to-end Sleep Staging with Raw Single Channel EEG

[Open Source]. ARGAN - The improved version of AnimeGAN. Landscape photos/videos to anime

毕业设计 基于深度学习的车型识别APP，此处为APP模块

Code showing how to port ResNet Pytorch weights to Tensorflow 2.0

ResNet-34 Model trained from scratch to classify 450 different species of birds with 98.6% accuracy.

First person action recognition: different approaches exploiting self supervised task and flow modulation

PyTorch implementation of ResNet34 from scratch for classifying birds

Multi-label classification of defective solar cells with PyTorch using a pre-trained residual neural network

Segmentation model using UNET architecture with ResNet34 as encoder background, designed with PyTorch.