Training code for facial landmark detection based on deep convolutional neural network.
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Updated
Mar 10, 2021 - Python
Training code for facial landmark detection based on deep convolutional neural network.
A novel approach in training a DenseNet model for diagnosing COVID-19 Chest X-Rays.
1D Convolution Interactive Visualization build with d3.js
convolution neural network library in C# with Pretrained models based on convnetjs
Estimating power system inertia using convolutional neural network
Atrial Fibrillation Classification via 1D-CNN and 2D-CNN
Worked on the Project Pneumonia Detection using Chest X-Ray in the Phase 1 Period of Bertelsmann Nano Degree Scholarship Program
Computer Vision: State of the Art model implementation using PyTorch framework.
A general framework that leverages node feature information (e.g., text attributes) to efficiently generate node embeddings for previously unseen data. Instead of training individual embeddings for each node, GraphSAGE learn a function that generates embeddings by sampling and aggregating features from a node’s local neighborhood. Here, the impl…
🚘 Driving a car in simulator using Behavioral Cloning.This project is created for Self Driving Car Nanodegree
It is Web App built using Convolution Neural Network (CNN), Fashion MNIST greyscale Image Dataset & python libraries like Tensorflow, Keras, Flask, Numpy, Matplotlib which Predicts Fashion tag for Provided Image.
U-Net with Python
Building Convolution Neural Networks from Scratch
Movie classification using Convolution Neural Network (CNN) for text
Repository containing models based on ideas of Machine learning and Deep learning
A Pure NumPy Based Machine Learning Library built from Scratch
Implement neural style transfer to change the style of art paintings or photos.
An Image Recognition Model That uses a Convolution Neural Network with Tensorflow to be able to tell an animal from a non-animal image
This repository consists python code for conjunctivitis also known as pink eye image detection using convolution neural network
Supervised segmentation of 3-dimensional images using a convolutional neural network.
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