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Search results for tensorflow autoencoder
autoencoder
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tensorflow
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177 search results found
All Convnet Autoencoder Example
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22
Just a simple use example of the conv2d_transpose function in TensorFlow. Its run on MNIST.
Transforming Autoencoders
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22
Transforming Autoencoder (Hinton et al.) implementation in TensorFlow. A way to get hands dirty with Hinton's capsules.
Deeplearningexamples
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22
Deep learning examples with Python and Tensorflow & Keras.
Vq Vae_keras_implementation
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22
Keras Implementation of Vector Quantizer Variational AutoEncoder (VQ-VAE)
Geometric_adv
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21
Geometric Adversarial Attacks and Defenses on 3D Point Clouds (3DV 2021)
Tensorflow Fcwta
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21
Fully-connected winner-take-all autoencoder implemented in TensorFlow.
Tensorflow Seq2seq
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21
Implement en-fr translation task by implenting seq2seq, encoder-decoder in RNN layers with Attention mechanism and Beamsearch inference decoder in TensorFlow 1.3
Stackeddae
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20
Stacked Denoising AutoEncoder based on TensorFlow
Propertyclassification
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20
Classifying the type of property given Real Estate, satellite and Street view Images
Aae
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20
adversarial autoencoder (AAE) with tensorflow for MNIST
Cae
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20
Convolutional Auto Encoder implemented in Tensorflow
Pokemon Generator
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19
Practice Tensorflow by using pokemon
Website Fingerprinting
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19
Automatic Feature Generation for Website Fingerprinting
3d Brain Tumor Segmentation
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19
Volumetric MRI brain tumor segmentation using autoencoder regularization
Memae Tf2
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19
TensorFlow implementation of "Memorizing Normality to Detect Anomaly: Memory-augmented Deep Autoencoder for Unsupervised Anomaly Detection"
Pga
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18
A TensorFlow implementation of perceptual generative autoencoder (PGA).
Host Load Prediction With Lstm
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18
host load prediction with Long Short-Term Memory in cloud computing
Cml_amp_anomaly_detection
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18
Apply modern, deep learning techniques for anomaly detection to identify network intrusions.
Probabilistic_nlg
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18
Tensorflow Implementation of Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation (NAACL 2019).
Simplegan
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16
Tensorflow-based framework to ease training of generative models
Hybrid_textvae
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15
TensorFlow implementation of "A Hybrid Convolutional Variational Autoencoder for Text Generation"
Arae Tf
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15
ARAE-Tensorflow for Discrete Sequences (Adversarially Regularized Autoencoder)
Adversarial Autoencoder
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15
Tensorflow 2.0 implementation of Adversarial Autoencoders
Tf_practice
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15
TensorFlow 1.x Practice
Deeplearning Playground
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14
Deep Learning courses, tutorials and examples with TensorFlow and PyTorch
Keras Aquarium
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14
a small collection of models implemented in keras, including matrix factorization(recommendation system), topic modeling, text classification, etc. Runs on tensorflow.
Dltf
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14
Hands-on in-person workshop for Deep Learning with TensorFlow
Tensorflow Tutorials
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13
Seminar: intro to deep learning with tensorflow
Tensorflow Seq2seq Autoencoder
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13
a simple seqseq-autoencoder example of tensorflow
Deep Feature Consistent Variational Autoencoder In Tensorflow
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13
implement Deep Feature Consisten Variational Autoencoder in Tensorflow
Video Inpainting
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13
Video Inpainting using 3D Convolutional Neural Network autoencoder
Learningtospotartifacts
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12
Self-Supervised Feature Learning by Learning to Spot Artifacts. In CVPR, 2018.
Tfautoencoder
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12
Auto Encoder on Tensorflow
Deeplearningdenoise
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12
Denoising Cifar10 images using deep learning with Keras
Video Compression Net
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12
A new approach to video compression by refining the shortcomings of conventional approach and substituting each traditional component with their neural network counterpart. Our proposed work consists of motion estimation, compression and compensation and residue compression, learned end-to-end to minimize the rate-distortion trade off. The whole model is jointly optimized using a single loss function. Our work is based on a standard method to exploit the spatio-temporal redundancy in video frame
Android Malware Detection
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11
Android Malware Detection using Deep Learning
Autoencoder
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11
VAE implementation in tensorflow
Cnn_autoencoder
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11
Use cnn autoencoder on mnist dataset
Ascii Autoencoder
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11
TensorFlow autoencoder implementation with ASCII visualization of reconstruction progress
Autoencoder
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11
An autoencoder using a convolutional neural network with Tensorflow
Tensorflow_node
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11
Tensorflow based ROS node for evaluating deep learning algorithms.
Interactive_generative_3d_shapes
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10
🚗 Exploring Generative 3D shapes using Autoencoder Networks
Semantic Segmentation Using Autoencoders
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10
Lightweight and Fast Person Segmentation using Autoencoders (Trained Weights Included)
Conv Autoencoder
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10
Unsupervised Image Retrieval with Convolutional Autoencoder in Tensorflow
Track_sequence_anomaly_detection
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9
由时间空间成对组成的轨迹序列,通过循环神经网络lstm,自编码器auto-encode,时空密度聚类
Vae Cf
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9
Variational Autoencoder for Collaborative Filtering implementation in TensorFlow
Introduction_to_deep_learning_coursera
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9
Intro to Deep Learning by National Research University Higher School of Economics
Pyconvnetphash
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9
image perceptual hash experiment using convolutional neural net models
Deep Video Steganography Hiding Videos In Plain Sight
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9
Network_anomaly_detection_deep_learning
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9
This project has been conducted under the supervision of Dr. Jinoh Kim and Dr. Donghwoon Kwon at Texas A&M University-Commerce. The research outcome are published in the proceeding of IEEE ICNC 2018 (http://www.conf-icnc.org/2018/), with the title of “An Empirical Evaluation of Deep Learning for Network Anomaly Detection”.
Deepexperiments
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9
TensorFlow/Keras experiments on computer vision and natural language processing
Photowct
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9
Unofficial implementation of "A Closed-form Solution to Photorealistic Image Stylization"
Nmor
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9
Deep learning framework for model reduction of dynamical systems
Lossy_image_autoencoder
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9
Lossy image autoencoders with convolution and deconvolution networks in Tensorflow
Variational Autoencoder
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9
Variational autoencoder implementation using Tensorflow and Python
Deeptarget Tensorflow
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9
Code for Paper DeepTarget, especially LSTM autoencoder
Deep Autoencoder Using Tensorflow
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9
Mmae
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8
Package for Multimodal Autoencoders in TensorFlow / Keras
Data Science Projects
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8
{PySpark, R, Python}: Several Data Science projects
Sequential Denoising Autoencoder Tf
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8
Dmae
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8
TensorFlow implementation of the Dissimilarity Mixture Autoencoder: https://arxiv.org/abs/2006.08177
Cnn Autoencoder Tf
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8
CNN and Contrastive Autoencoder (CAE) on EMNIST using Tensorflow
Kernelnet_movielens
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8
Generating Sentences Vae Lstm
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8
Vae.tensorflow.slim
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8
Vaemols
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7
Variational Autoencoder for Molecules
Vector Quantized Autoencoders
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7
Tensorflow Implementation of "Theory and Experiments on Vector Quantized Autoencoders"
Variational Autoencoder
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7
Tensorflow implementation of Variational Auto-Encoder
Autoencoder
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7
Simple Implementation of AutoEncoder, one type of deep learning algorithm. This is implemented based on Tensorflow.
Tensorflow Advanced Techniques Solutions
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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
Cnncancer
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6
lung cancer pathological image analyzer based on convolutional autoencoder
Fudanuniversity Machinelearning
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6
2020 Spring Fudan University Machine Learning Course HW by prof. Chen Qin. 复旦大学大数据学院2020年春季课程-人工智能与机器学习(DATA620006)
Stanford_cs224u Nlu Course
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6
This repository contains my solution to the Stanford Course cs224u "Natural Language Understanding" Summer 2019
Diffusionnet
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6
Diffusion Net TensorFlow implementation
Tensorflow2.0_notebooks
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6
Implementation of a series of Neural Network architectures in TensorFow 2.0
Cnn Autoencoders
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6
Implementation of CNN based autoencoders for color images in tensorflow.
Tensorflow Autoencoder
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6
AutoEncoder implemented in Tensorflow
Autoencoder Implementations
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6
This repository contains various Autoencoders implemented using TensorFlow
Oneclassclassifier
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6
One-class classifiers for anomaly detection (outlier detection)
Eunomia
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5
Autoencoder for multi-label classification using Google's Tensorflow framework and MDMR for feature selection.
Gsn
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5
Implementation of Generative Stochastic Networks in TensorFlow
Image Colorization
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5
This project aims to study the Image Colorization problem and implement a Convolutional Neural Network that is able to colorize black and white images using CIELAB color space.
Swapping Autoencoder Tf
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5
The unofficial tensorflow implementation of Swapping Autoencoder for Deep Image Manipulation
Multilabel Image Classification Using Contractive Autoencoder
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5
Implementing contractive auto encoder for encoding cloud images and using that encoding for multi label image classification
Mdnt
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5
Modern Deep Network Toolkits for Tensorflow-Keras. This is a extension for newest tensorflow 1.x.
Vgg16convolutionalautoencoder
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5
Keras Mnist Vae
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5
Sparse Auto Encoder
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5
implementation of the paper "k-sparse autoencoders."
Adversarial_autoencoder
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5
Adversarial_Autoencoder by using tensorflow
Denoise Vae
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5
Practice denoised VAE used tensorflow
Ai Autoencoder For Http Log Anomaly Detection
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5
AI: Autoencoder for HTTP Log Anomaly Detection
Rbm_based_autoencoders_with_tensorflow
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5
Deep Learning
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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.
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