In this project, a convolutinal auto-encoder based unsupervised learning and its transfer learning are built
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Updated
Jun 21, 2023 - Python
In this project, a convolutinal auto-encoder based unsupervised learning and its transfer learning are built
Simple Image Searching on CIFAR10 dataset using Conv Autoencoder
A python based machine learning toolkit for recovering the kinematic disorder of galaxies based on their velocity maps as well as returning an inclination-dependent position angle prediction for further kinematic modelling.
A Metadata-Informed Autoencoder for Raw Waveforms
Create an AI capable of solving reasoning tasks it has never seen before (hosted on Kaggle: https://www.kaggle.com/c/abstraction-and-reasoning-challenge)
Time Series Analysis: Accelerometer Sensors of Object Inclination and Vibration. Time Series Analysis by using different (State of Art Models) Machine and Deep Learning. Recurent Neural Network with CuDNNLSTM Model, Convolutional Autoencoder, Residual Network (ResNet) and MobileNet Model.
PyTorch implementations of an Undercomplete Autoencoder and a Denoising Autoencoder that learns a lower dimensional latent space representation of images from the MNIST dataset.
Method Implementations for the ConvAE-RF modelling of grain yield in the mid-lower Yangtze plains
We use the Convolutional AutoEncoder Network model to train animated faces 👫 and test from a random noise added to the original image as input (to check if it performs on noised inputs).
End-To-End Raw Audio Resynthesis System for Piano -> E-Piano
Convolutional autoencoder reducing traffic sign images to 1/6 of their original size.
Photo to Sketch Coversion using Federated Learning and Autoencoder with @ChaosAdmStudent
Bachelors project of group CS-23-DAT-6-06 of Aalborg university
Supreme Prosecutors' Office projects
Comparison of dimensionality reduction ability of different autoencoders on different datasets.
Text Digit Character Computer Vision using convolutional autoencoder
Convolutional autoencoder removing noise from Fashion MNIST clothing images.
Cifar-10 Image Reconstruction using Auto-encoder Models
High Dynamic Range Image Synthesis via Attention Non-Local Network
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