Topic: auto-encoders Goto Github
Some thing interesting about auto-encoders
Some thing interesting about auto-encoders
auto-encoders,Implementation of some famous machine learning algorithm from scratch
User: abhishek0508
auto-encoders,Collaborative and hybrid recommendation systems
User: adrianmarino
auto-encoders,A module of Fraud detection in Credit card applications
User: aizen-rish
auto-encoders,PyTorch implementation for the framework presented in the paper: Generative Fourier-based Auto-Encoders: Preliminary Results paper
User: alezonta
auto-encoders,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
User: amshrbo
auto-encoders,An age regression/progression application using GANS & CAE
User: anchal08
auto-encoders,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.
User: ankit-kumar-saini
auto-encoders,Deep Learning Computer Vision Algorithms for Real-World Use
User: ankonzoid
auto-encoders,Implemented K-Means Clustering from scratch on Cifar-10 dataset, Optimized the model using Auto- Encoders.
User: bit-baker
auto-encoders,DocEnTr: An end-to-end document image enhancement transformer - ICPR 2022
User: dali92002
auto-encoders,Indoor Human Walking Path Reconstruction from a FMWC Radar Signal
User: domsoli
auto-encoders,Various Deep Learning Projects (2022- 2023)
User: faresgh1997
auto-encoders,Auto encoders based recommendation system
User: gaurav-pande
Home Page: http://www.gauravpande.in/Recommendation_systems/
auto-encoders,simple VAE pytorch implementation
User: j-sripad
auto-encoders,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.
User: jvmolu
auto-encoders,This is the code of experiments in paper Cross-Domain Adversarial Auto-Encoder(https://arxiv.org/abs/1804.06078)
User: luckycallor
auto-encoders,Research on Material Science using Neural Networks black box approach
User: marcelaus98
auto-encoders,Master thesis: Structured Auto-Encoder with application to Music Genre Recognition (code)
User: mdeff
Home Page: https://infoscience.epfl.ch/record/218019
auto-encoders,Master thesis: Structured Auto-Encoder with application to Music Genre Recognition (report)
User: mdeff
Home Page: https://infoscience.epfl.ch/record/218019
auto-encoders,Master thesis: Structured Auto-Encoder with application to Music Genre Recognition (results)
User: mdeff
Home Page: https://infoscience.epfl.ch/record/218019
auto-encoders,Enhanced protein mutational sampling using time-lagged variational autoencoders
User: msultan
auto-encoders,Point Cloud Gaussian Mixture Models and Shape Completion with Auto-encoder embeddings
User: navigator8972
auto-encoders,A docker environment and notebooks to experiment with the extraction of moore machines from RNN RL policies
User: nicholasrenninger
auto-encoders,PyTorch Blog Post On Image Similarity Search
User: oke-aditya
Home Page: https://oke-aditya.github.io/image_similarity/
auto-encoders,Modified and example codes of GAN in pytorch
User: resbyte
auto-encoders,Building Auto-encoders using Deep Learning models in PyTorch
User: shreyanshchordia
auto-encoders,In this repository, denoising of medical images has been performed using convolutional auto-encoder models.
User: sm823zw
auto-encoders,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.
User: sujay8070
auto-encoders,This repository if for creating auto-encoders easily. The main focus of the auto-encoders on this page is for genetic and spectral data analysis but likely could be used for any high dimensional data
Organization: zhiwu-zhang-lab
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