#Autoencoder
Showing 60 of 74 repositories tagged #autoencoder, ranked by stars
Build your neural network easy and fast, 莫烦Python中文教学
Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.
Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学
This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
[CVPR2020] Adversarial Latent Autoencoders
텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다
Advanced Deep Learning with Keras, published by Packt
Use unsupervised and supervised learning to predict stocks
[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy
Official implementation of Diffusion Autoencoders
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
TensorFlow and Deep Learning Tutorials
DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
Using data analytics alongside popular trading strategies and indicators, to identify best trading actions based solely on the price action.
A math workspace for screenshot OCR, handwriting-to-LaTeX, editing, preview, and symbolic computation, powered by MathCraft OCR and MathLive.
A curated list of dedicated resources and applications
A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
Visualization techniques for the latent space of a convolutional autoencoder in Keras
Deep learning meets molecular dynamics.
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
State Representation Learning (SRL) zoo with PyTorch - Part of S-RL Toolbox
A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach
Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
Autoencoders in Keras
This is the official implementation for IVA '19 paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation".
Beta Machine Learning Toolkit
:globe_with_meridians: Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization
Tensorflow implementation : U-net and FCN with global convolution
conditional variational autoencoder written in Keras [not actively maintained]
This repository tries to provide unsupervised deep learning models with Pytorch
Convolutional Autoencoder with SetNet in PyTorch
Molecular AutoEncoder in PyTorch
Keras implementation of Structural Deep Network Embedding, KDD 2016
Pure MLX implementations of UMAP, t-SNE, PaCMAP, TriMap, DREAMS, CNE, MMAE, and NNDescent for Apple Silicon. Metal GPU for computation and video rendering.
Self-supervised models for encoding protein localization patterns from microscopy images
SESF-Fuse: An Unsupervised Deep Model for Multi-Focus Image Fusion
Music(Lo-fi) generation using deep learning techniques.
Сustom torch style machine learning framework with automatic differentiation implemented on numpy, allows build GANs, VAEs, etc.
Implementation of the proposed MaskBit from Bytedance AI
Convolutional AutoEncoder application on MRI images
Implementations of some Deep Learning models using tensorflow with scikit-learn like APIs
Unsupervised (Self-Supervised) Clustering of Seismic Signals Using Deep Convolutional Autoencoders
A collection of 100 Deep Learning images and visualizations
Telegram Bot To Automate Your Anime Channels
The hybrid model combining stacked denoising autoencoder with matrix factorization is applied, to predict the customer purchase behavior in the future month according to the purchase history and user information in the Santander dataset.
Real time face landmarking using decision trees and NN autoencoders
Tutorial about the swap-face algorithm
Frame level anomaly detection and localization in videos using auto-encoders
A look at some simple autoencoders for the Cifar10 dataset, including a denoising autoencoder. Python code included.
Virtually remove a face mask to see what a person looks like underneath
New Polars implementation of the classic featurewiz MRMR algorithm. Created by Ram Seshadri. Collaborators welcome.
MalDataGen is an advanced Python framework for generating and evaluating synthetic tabular datasets using modern generative models, including diffusion and adversarial architectures.
Content from the University of British Columbia's Master of Data Science course DSCI 572.
Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection, backed by FedML, Inc.
Python code source for features selection 👨🔬 series on medium website. 📰
zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib
Stacked What-Where Auto-encoders implementation wiht Tensorflow
Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.