40 results for “topic:auto-encoders”
Deep Learning Computer Vision Algorithms for Real-World Use
PyTorch Blog Post On Image Similarity Search
DocEnTr: An end-to-end document image enhancement transformer - ICPR 2022
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Enhanced protein mutational sampling using time-lagged variational autoencoders
Master thesis: Structured Auto-Encoder with application to Music Genre Recognition (code)
This is the code of experiments in paper Cross-Domain Adversarial Auto-Encoder(https://arxiv.org/abs/1804.06078)
Used the Functional API to built custom layers and non-sequential model types in TensorFlow, performed object detection, image segmentation, and interpretation of convolutions. Used generative deep learning including Auto Encoding, VAEs, and GANs to create new content.
Point Cloud Gaussian Mixture Models and Shape Completion with Auto-encoder embeddings
Auto encoders based recommendation system
Master thesis: Structured Auto-Encoder with application to Music Genre Recognition (report)
Explore Network Anomaly Detection Project 📊💻. It achieves an exceptional 99.7% accuracy through a blend of supervised and unsupervised learning, extensive feature selection, and model experimentation. Stunning data visualizations using synthetic network traffic data offer insightful representations of anomalies, enhancing network security.
My research work with a proof of concept for Image Restoration of motion-blurred images in Real-time using data augmentation and specific architecture of Deep Autoencoder network (inspired from U-Net model) with CNN layers. (Studied extensive use of functional APIs for custom layers, loss, and metrics, effects of regularization & Hyperparams optimization), IDE/ Frameworks/ Libraries used: [Google Colab, TensorFlow, Keras, Scikit-learn, and OpenCV among others. others.
No description provided.
In this repository, denoising of medical images has been performed using convolutional auto-encoder models.
Discrete trajectory autoencoder based on BART model
Modified and example codes of GAN in pytorch
Master thesis: Structured Auto-Encoder with application to Music Genre Recognition (results)
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In this repository, I'm going to include some well documented projects, that I've implemented during my learning and I will keep it updated
A module of Fraud detection in Credit card applications
Multiple Sclerosis Detection using 3D Auto-Encoders for volumetric MRI scans
Explores representation learning on the CIFAR-10 dataset using PCA, t-SNE, and a hyperparameter-tuned convolutional autoencoder to compare raw pixel space with learned latent representations for visual separability.
Implementation of some famous machine learning algorithm from scratch
Building Auto-encoders using Deep Learning models in PyTorch
Repository for the course Deep Learning Spring 2024
This project implements and compares Autoencoders (AEs) and Variational Autoencoders (VAEs) using the Fashion MNIST dataset. The project is ideal for those seeking to understand and apply deep learning techniques in unsupervised learning.
Research on Material Science using Neural Networks black box approach
An age regression/progression application using GANS & CAE