AMLResearchProject/all-detection-system-2019

Intel DevMesh AI Spotlight Award winner. Acute Lymphoblastic Leukemia Detection System 2019 uses Tensorflow 1.4.1 & Neural Compute Stick 1 to provide an intelligent network and diagnosis system. Project by Adam Milton-Barker.

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MelihGulum/CIFAR-10-CNN-FLASK-Deployment

Classification of CIFAR dataset with CNN which has %91 accuracy and deployment of the model with FLASK.

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Awrsha/Skin_Cancer Fork of MHosseinHashemi/Skin_Cancer

This project aims to develop a deep learning model for the detection of skin cancer from dermoscopic images. The model utilizes convolutional neural networks (CNNs), specifically the ResNet50 architecture, to classify images into two classes: benign and malignant.

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rickben/Secondary_Structure_PointNet

Classification of amino acids in proteins into their secondary structure with deep learning by using PointNet architecture.

Language: Python - Size: 136 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

parham1998/Improving-Loss-Function-for-Deep-CNN-based-AIA

Official Pytorch Implementation of: "Improving Loss Function for Deep CNN-based Automatic Image Annotation"

Language: Python - Size: 608 KB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

mohadeseh-ghafoori/CNN-with-pooling-layer

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