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Variational Autoencoder ⭐ 7

This repository contains code for VAE and CVAE using residual and inverse residual blocks

Deep Audioviz Experiments ⭐ 7

Audio Visualizations driven by Deep Learning

Factoredgatedautoencoder ⭐ 7

Implementation of the factored Gated Autoencoder (https://www.iro.umontreal.ca/~memisevr/pubs/rae.p

Deep Learning Nd ⭐ 7

Projects and exercises for the Deep Learning Nanodegree

Ch485 Artificial Intelligence And Chemistry ⭐ 7

CH485 - Artificial Intelligence and Chemistry

Autoencoder Implementations ⭐ 6

This repository contains various Autoencoders implemented using TensorFlow

Neural Network Autoencoder ⭐ 6

Code for the autoencoder neural network featured in Super Make Something Basics Episode 3

Tensorflow Advanced Techniques Solutions ⭐ 6

This repository contains my solutions for the Coursera course TensorFlow: Advanced Techniques Specialization. Expand your knowledge of the Functional API and build exotic non-sequential model types. Learn how to optimize training in different environments with multiple processors and chip types and get introduced to advanced computer vision scenarios such as object detection, image segmentation, and interpreting convolutions. Explore generative deep learning including the ways AIs can create new

Colab_tension_vae ⭐ 6

(Unofficial) Tensorflow implementation of Adversarial Latent Autoencoder (ALAE, Pidhorskyi et al., 2020)

Hsi Toolbox ⭐ 6

Hyperspectral CNN compression and band selection

Truncatedgaussianmixturevae ⭐ 6

truncated Gaussian-Mixture Variational AutoEncoder

CRsAE (constrained recurrent sparse autoencoder)

Diffusionnet ⭐ 6

Diffusion Net TensorFlow implementation

Variationalrecurrentautoencoder ⭐ 6

VRAE Variational Recurrent Autoencoder

Normative Modelling Using Deep Autoencoders ⭐ 6

Normative modelling using deep autoencoders: a multi-cohort study on mild cognitive impairment and Alzheimer’s disease

TSMC course materials for unsupervised learning

Amld2020 Workshop ⭐ 6

This repo contains workshop material for Applied Machine Learning Days 2020 conference

Deepredmt ⭐ 6

Deepred-Mt is a novel method based on deep neural networks to predict C-to-U editing sites in angiosperm mitochondrial RNA.

Strv Ml Mask2face ⭐ 6

Virtually remove a face mask to see what a person looks like underneath

Generative Deep Learning ⭐ 6

Road towards diffusion models.

convGRU based autoencoder for unsupervised & spatial-temporal anomaly detection in computer network traffic

Autoencoder Image Similarity ⭐ 6

Cramer-Wold AutoEncoder

a multiresolution convolutional autoencoder architecture

Image Colorization ⭐ 6

Coloring Black & White Images with the help of Autoencoder, Variational Autoencoder, Generative Adversarial Networks

Tensorflow2.0_notebooks ⭐ 6

Implementation of a series of Neural Network architectures in TensorFow 2.0

Imagedenoisingautoencdoer ⭐ 5

Denoising images with a Deep Convolutional Autoencoder - Implemented in Keras

Disentangled Sequential Autoencoder ⭐ 5

PyTorch Implementation of Disentangled Sequential Autoencoder

Keras Mnist Cvae ⭐ 5

Python implementation of DNGR model (Deep Neural Networks for Graph Representations)

Denoise Vae ⭐ 5

Practice denoised VAE used tensorflow

Multimodal Action Recognition ⭐ 5

Multimodal action recognition using autoencoders

Learning Ml ⭐ 5

Lectures, Papers, Reviews, and Implementations

2019w_deeplearning_seminar ⭐ 5

2019.1~2 deep learning seminar

Ai Autoencoder For Http Log Anomaly Detection ⭐ 5

AI: Autoencoder for HTTP Log Anomaly Detection

Chapter 4: Basics of Deep Learning

Outlier Reconstruction ⭐ 5

Web demo for outlier reconstruction phenomenon of autoencoders

Web Crawler Detection ⭐ 5

Web Crawler Detection using Unsupervised Algorithms

Music Variational Autoencoders ⭐ 5

Conv Ae Tensorflow Keras ⭐ 5

Convolutional Auto Encoder in Tensorflow >= 2.2.0

Deep Learning With Pytorch ⭐ 5

Content from the University of British Columbia's Master of Data Science course DSCI 572.

Deep Learning ⭐ 5

This repo is the continuation of the Machine-Learning repo. Here I'm gonna to upload all the examples and exercises which I'll do to learn deep learning techniques and all the problems I'll solve using these last few.

Ml Tool Wear ⭐ 5

Anomaly detection on the UC Berkeley milling data set using a disentangled-variational-autoencoder (beta-VAE). Replication of results as described in article "Self-Supervised Learning for Tool Wear Monitoring with a Disentangled-Variational-Autoencoder"

Keras Mnist Vae ⭐ 5

Simplydeep ⭐ 5

A simple introduction to deep learning

Pytorch Mnist Cvae ⭐ 5

Credit Card Fraud Detection ⭐ 5

Fraud detection is a binary classification problem in which the transactions data is analyzed and classified in “legitimate” or “fraudulent”

Multilabel Image Classification Using Contractive Autoencoder ⭐ 5

Implementing contractive auto encoder for encoding cloud images and using that encoding for multi label image classification

Deeplearning ⭐ 5

Reinforcement Learning,NLP,VAE,CNN,Stock,Economic,Review,Quant

Reverse Oldification ⭐ 5

Using Machine Learning to rejuvenate black and white images ! ~~

Deep_learning ⭐ 5

Implementing neural networks from scratch

Multichannel Speech Enhancement With Deep Neural Networks ⭐ 5

This thesis applies an autoencoder deep neural network to the multichannel speech enhancement problem. It takes the problem from dataset generation to the model training

Timestretching ⭐ 5

Pytorch implementation of Time Stretching in Music using an Autoencoder Network

Cloud_table ⭐ 5

3D generative design with deep learning

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