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Search results for jupyter notebook autoencoder
autoencoder
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jupyter-notebook
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223 search results found
Deeplearning Models
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16,142
A collection of various deep learning architectures, models, and tips
Pytorch Tutorial
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7,372
Build your neural network easy and fast, 莫烦Python中文教学
Tensorflow_tutorials
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5,548
From the basics to slightly more interesting applications of Tensorflow
Zhihu
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3,228
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.
Ipynb_playground
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1,530
Various ipython notebooks
Deeplearning_tutorials
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1,216
The deeplearning algorithms implemented by tensorflow
Deep Learning Experiments
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1,050
Videos, notes and experiments to understand deep learning
Tensorflow 101
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987
TensorFlow 101: Introduction to Deep Learning
Tensorflow2 Generative Models
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833
Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.
Deepsvg
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829
[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.
Keras Idiomatic Programmer
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705
Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework
Diffae
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690
Official implementation of Diffusion Autoencoders
Handson Unsupervised Learning
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604
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)
Deep_learning_cookbook
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550
Deep Learning Cookbox
Generative Models
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414
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
Dl4g
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404
Example code for the Siggraph Asia Tutorial CreativeAI
Advanced Tensorflow
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358
Little More Advanced TensorFlow Implementations
Easy Deep Learning With Keras
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336
Keras tutorial for beginners (using TF backend)
Vae_cf
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309
Variational autoencoders for collaborative filtering
Credit Card Fraud Detection Using Autoencoders In Keras
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289
iPython notebook and pre-trained model that shows how to build deep Autoencoder in Keras for Anomaly Detection in credit card transactions data
Kekoxtutorial
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289
전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.
Dec
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289
Numerai
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266
Code from my experiments on Numerai
Place Recognition Using Autoencoders And Nn
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250
Place recognition with WiFi fingerprints using Autoencoders and Neural Networks
3d Mri Brain Tumor Segmentation Using Autoencoder Regularization
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243
Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).
Centersnap
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243
Pytorch code for ICRA'22 paper: "Single-Shot Multi-Object 3D Shape Reconstruction and Categorical 6D Pose and Size Estimation"
Hands On Deep Learning Algorithms With Python
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241
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
Vqvae
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240
A pytorch implementation of the vector quantized variational autoencoder (https://arxiv.org/abs/1711.00937)
Parametric T Sne
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235
Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.
Link Prediction
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216
Representation learning for link prediction within social networks
Deep Learning For Hackers
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196
Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)
Motion Sense
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189
MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope) (PMC Journal) (IoTDI'19)
Practical Machine Learning With Python
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182
Machine Learning Tutorials in Python
Convolutional_autoencoder
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169
Code for a convolutional autoencoder written on python, theano, lasagne, nolearn
Tensorflow 101
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168
中文的 tensorflow tutorial with jupyter notebooks
Dcgan Autoencoder
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165
Vde
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161
Variational Autoencoder for Dimensionality Reduction of Time-Series
Deep Learning
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128
Deep Learning Application Examples
Deep Steganography
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125
Hiding Images within other images using Deep Learning
Gumbel
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122
Gumbel-Softmax Variational Autoencoder with Keras
Vae Tensorflow
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115
A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).
Robustautoencoder
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110
A combination of Autoencoder and Robust PCA
Autoencoders
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105
Implementation of simple autoencoders networks with Keras
Mlwithtensorflow2ed
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101
Code for Machine Learning with TensorFlow: 2nd Edition Published by Manning Publications
Vae Text Generation
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88
Text Generation Using A Variational Autoencoder
Concrete Autoencoders
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83
Deepai
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74
Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 that will walk you through the detection of accounting anomalies using deep autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
Vae Pokedex
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72
The companion code for How to Autoencode your Pokemon
Hands On Ml
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69
Hands-On Machine Learning
Swae
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69
Implementation of the Sliced Wasserstein Autoencoders
Autoencoder Based Communication System
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67
Tensorflow Implementation and result of Auto-encoder Based Communication System From Research Paper : "An Introduction to Deep Learning for the Physical Layer" http://ieeexplore.ieee.org/document/8054694/
Cvae
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66
Conditional variational autoencoder implementation in Torch
Hand Reconstruction
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66
Single Image 3D Hand Reconstruction with Mesh Convolutions
Ezyrb
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64
Easy Reduced Basis method
Video_generator
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63
This is implementation of convolutional variational autoencoder in TensorFlow library and it will be used for video generation.
Docentr
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62
DocEnTr: An end-to-end document image enhancement transformer - ICPR 2022
Swap Face
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61
Tutorial about the swap-face algorithm
Wsae Lstm
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61
implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)
Dl_study_with_gluon
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58
Deep Learning Study with Gluon
Keras_autoencoder
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57
Autoencoders using Keras
Peax
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57
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
Python Jupyter Apache Kafka Ksql Tensorflow Keras
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53
Making Machine Learning Simple and Scalable with Python, Jupyter Notebook, TensorFlow, Keras, Apache Kafka and KSQL
Noise2noise Audio_denoising_without_clean_training_data
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52
Source code for the paper titled "Speech Denoising without Clean Training Data: a Noise2Noise Approach". Paper accepted at the INTERSPEECH 2021 conference. This paper tackles the problem of the heavy dependence of clean speech data required by deep learning based audio denoising methods by showing that it is possible to train deep speech denoising networks using only noisy speech samples.
How_to_generate_images_with_tensorflow_live
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49
Irregulartimeseriesautoencoderpaper
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49
Tutorial Medical Image Registration
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48
Medical Image Registration
Vae Pytorch
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46
AE and VAE Playground in PyTorch
Mmfall
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46
mmFall: Fall Detection using 4D MmWave Radar and Variational Recurrent Autoencoder
Vae_protein_function
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44
Protein function prediction using a variational autoencoder
Pytorchcrashcourse
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44
A few notebooks on deep learning with PyTorch
Biobombe
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44
BioBombe: Sequentially compressed gene expression features enhances biological signatures
Mae Scalable Vision Learners
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43
A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners
Lipreading
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42
Yann
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42
This toolbox is support material for the book on CNN (http://www.convolution.network).
Adaptive Multispeaker Separation
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42
Adaptive and Focusing Neural Layers for Multi-Speaker Separation Problem
A Deep Learning Framework For Assessing Physical Rehabilitation Exercises
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41
A framework for quality assessment of exercises in physical rehabilitation based on skeletal joint displacements collected with a motion capture system.
Datadrivendynsyst
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40
Scripts and notebooks to accompany the book Data-Driven Methods for Dynamic Systems
Face Aging Caae Pytorch
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39
Age Progression/Regression by Conditional Adversarial Autoencoder
Choreography
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38
'I didn’t want to imitate anybody. Any movement I knew, I didn’t want to use.' – Pina Bausch
Adversarial_autoencoder
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37
Implementation of Adversarial Autoencoder with Theano
Conditional_vae
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37
conditional variational autoencoder written in Keras [not actively maintained]
Vae Latent Space Explorer
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29
Interactive exploration of MNIST variational autoencoder latent space with React and tensorflow.js.
Cs550
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28
Machine Learning Course at IIT Bhilai
Hello_nn
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28
Some of my simple neural networks
Eeg Emotion Recognition
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27
EEG data processing and it's convolution using AutoEncoder + CNN + RNN
Mmd Variational Autoencoder Pytorch Infovae
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26
Implementation of the MMD VAE paper (InfoVAE: Information Maximizing Variational Autoencoders) in pytorch
Deep Autoencoder Recommendation
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26
Keras implementation of AutoRec and DeepRecommender from Nvidia.
Pixel_character_generator
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26
Generating retro pixel game characters with Generative Adversarial Networks. Dataset "TinyHero" included.
Fc
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26
Face enhancer - Denoising Auto Encoder by Tensorflow and Keras and skimage
Stock2vec
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26
Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history
Trap
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25
TRAP: Two-level Regularized Autoencoder-based Embedding for Power-law Distributed Data
Anomaly_detection
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25
Deepad
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25
Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Workshop on Anomaly Detection in Finance that will walk you through the detection of interpretable accounting anomalies using adversarial autoencoder neural networks. The majority of the lab content is based on Jupyter Notebook, Python and PyTorch.
Colornet Template
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24
Colorizing B&W Photos with Neural Networks
Tensorbag
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24
Collection of tensorflow notebooks tutorials for implementing the most important Deep Learning algorithms.
Vae In Predicting Stock
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24
VAE in feature extraction help predicting stock
Tensorflow_deep_learning_models
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23
TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
Ai101 Deeplearning
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23
AI101 - Comprehensive Deep Learning Tutorial
Recsys_autoencoders
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23
This project implements different Deep Autoencoder for Collaborative Filtering for Recommendation Systems in Keras
Autoencoder_for_physical_layer
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23
This is my attempt to reproduce and extend the results in the paper "An Introduction to Deep Learning for the Physical Layer" by Tim O'Shea and Jakob Hoydis
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