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
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Updated
Dec 10, 2024 - Python
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
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
Deep learning experiments to design a model to predict Parkinson's diseases with the images of Spiral/Wave test
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 based solution to automatically analyze medical images for malaria testing
Various Classical Deep-learning Algorithm coded by Tensorflow and Pytorch framework
Research model for classification and feature extraction of dermatoscopic images
End-to-end Sleep Staging with Raw Single Channel EEG
[Open Source]. ARGAN - The improved version of AnimeGAN. Landscape photos/videos to anime
ResNet-34 Model trained from scratch to classify 450 different species of birds with 98.6% accuracy.
Code showing how to port ResNet Pytorch weights to Tensorflow 2.0
PyTorch implementation of ResNet34 from scratch for classifying birds
First person action recognition: different approaches exploiting self supervised task and flow modulation
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.
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