PyTorch implementations of deep learning models
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Updated
Jun 28, 2018 - Jupyter Notebook
PyTorch implementations of deep learning models
Implementation of supervised and unsupervised FLowNetS
Convolutional neural network implementation for school project
Applying a convolutional neural network to classify radio audio as music or advertisements
An Emotion Recognition webapp that detect faces and predicts the type of emotion shown on the face.
Boat detection using a Convolutional Neural Network
Human Activity Recognition using Convolutional Neural Network
🦊 Image classification of naruto characters: sasuke, naruto and sakura using Convolutional Neural Network.
A project about handwritten Chinese numeral recognition based on convolutional neural network
A simple implementation of an AI game player inspired by AlphaZero
Pneumonia prediction react and fastapi progressive web application.
Yoon Kim's Convolutional Neural Networks for Sentence Classification paper in PyTorch.
An educational walkthrough showing how to train a convolutional neural network (CNN) for image classification on CIFAR10.
An (admittedly amature) attempt to combine the strength of CNNs for sequence prediction though PACING - Patched bAsed ConvolutIoNal Generators
This web app allows users to apply artistic styles to their own images or a set of images retrieved from Google Images using neural style transfer.
A convolutional neural network that has detection for English characters (letters) written by hand.
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