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autoencoder

Here are 889 public repositories matching this topic...

MorvanZhou / PyTorch-Tutorial

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Build your neural network easy and fast

python machine-learning tutorial reinforcement-learning neural-network regression cnn pytorch batch dropout generative-adversarial-network gan batch-normalization dqn classification rnn autoencoder pytorch-tutorial

Updated Oct 31, 2020
Jupyter Notebook

BinRoot / TensorFlow-Book

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Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

machine-learning reinforcement-learning book clustering tensorflow linear-regression regression classification autoencoder logistic-regression convolutional-neural-networks

Updated Dec 14, 2019
Jupyter Notebook

MorvanZhou / Tensorflow-Tutorial

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Tensorflow tutorial from basic to hard

machine-learning tutorial neural-network tensorflow regression cnn dropout generative-adversarial-network gan dqn classification rnn autoencoder tensorflow-tutorials deep-q-network

Updated Oct 31, 2020
Python

yzhao062 / pyod

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Open

function generate_data

2

husenzhang commented Apr 22, 2020

I'm using latest pyod version on pypi. How to generate simulated data where x-axis is time? Thank you.

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good first issue help wanted

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callbacks in autoencoder

3

Open

Question regarding precision@n and roc(@n?)

12

NELSONZHAO / zhihu

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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.

natural-language-processing deep-learning machine-translation recurrent-neural-networks gan style-transfer autoencoder convolutional-neural-networks tensorflow-examples

Updated Feb 29, 2020
Jupyter Notebook

podgorskiy / ALAE

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[CVPR2020] Adversarial Latent Autoencoders

python machine-learning computer-vision deep-learning neural-network paper pytorch generative-adversarial-network gan generative-model autoencoder celeba paper-implementations face-generation pytorch-implementation celeba-hq stylegan ffhq cvpr2020 alae

Updated Nov 3, 2020
Python

golbin / TensorFlow-Tutorials

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텐서플로우를 기초부터 응용까지 단계별로 연습할 수 있는 소스 코드를 제공합니다

tutorial deep-learning neural-network tensorflow word2vec chatbot cnn gan mnist dqn rnn autoencoder seq2seq inception

Updated Mar 23, 2019
Python

NifTK / NiftyNet

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[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-guided therapy

python deep-neural-networks deep-learning neural-network tensorflow ml python3 distributed medical-imaging pip gan autoencoder segmentation convolutional-neural-networks python2 medical-image-computing medical-images medical-image-processing image-guided-therapy medical-image-analysis

Updated Apr 21, 2020
Python

VivekPa / AIAlpha

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Use unsupervised and supervised learning to predict stocks

python machine-learning artificial-intelligence lstm yahoo-finance-api stock-price-prediction autoencoder artificial-neural-networks trading-strategies quantitative-finance algorithmic-trading wavelet-transform

Updated Jun 18, 2020
Python

RubensZimbres / Repo-2017

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Python codes in Machine Learning, NLP, Deep Learning and Reinforcement Learning with Keras and Theano

nlp opencv natural-language-processing deep-learning sentiment-analysis word2vec keras generative-adversarial-network autoencoder glove t-sne segnet keras-models keras-layer latent-dirichlet-allocation denoising-autoencoders svm-classifier resnet-50 anomaly-detection variational-autoencoder

Updated Apr 22, 2019
Python

PacktPublishing / Advanced-Deep-Learning-with-Keras

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Advanced Deep Learning with Keras, published by Packt

reinforcement-learning deep-learning keras gan autoencoder vae

Updated Nov 16, 2020
Python

wagamamaz / tensorflow-tutorial

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TensorFlow and Deep Learning Tutorials

nlp machine-learning reinforcement-learning deep-learning neural-network notebook tensorflow keras deep-reinforcement-learning cnn recurrent-neural-networks neural-networks autoencoder tensorflow-tutorials convolutional-neural-networks neural-machine-translation tflearn tensorlayer multi-layer-perceptron deep-learning-tutorial

Updated Feb 26, 2018

GoogleCloudPlatform / keras-idiomatic-programmer

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Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

machine-learning deep-learning keras vgg dcgan autoencoder densenet resnet keras-tutorials squeezenet inception resnext automl mobilenet siamese-network shufflenet senet xception tensorflow-keras

Updated Dec 1, 2020
Jupyter Notebook

wubinzzu / NeuRec

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Next RecSys Library

deep-learning social-network tensorflow collaborative-filtering neural-networks autoencoder convolutional-neural-networks sequential recommender-systems gcn adversarial-learning variational-autoencoder

Updated Nov 13, 2020
Python

shubhomoydas / ad_examples

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A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

streaming timeseries time-series lstm generative-adversarial-network gan rnn autoencoder ensemble-learning trees active-learning concept-drift graph-convolutional-networks interpretability anomaly-detection adversarial-attacks explaination anogan unsuperivsed nettack

Updated Sep 25, 2020
Python

jsn5 / dancenet

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DanceNet -💃💃Dance generator using Autoencoder, LSTM and Mixture Density Network. (Keras)

computer-vision keras lstm generative-model autoencoder mixture-density-networks

Updated Sep 15, 2019
Python

shayneobrien / generative-models

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Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN

Updated Nov 19, 2018
Jupyter Notebook

hwalsuklee / tensorflow-mnist-VAE

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Tensorflow implementation of variational auto-encoder for MNIST

tensorflow mnist autoencoder vae dae denoising-autoencoders variational-autoencoder

Updated Apr 11, 2017
Python

Kaixhin / Autoencoders

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Torch implementations of various types of autoencoders

deep-learning autoencoder

Updated Aug 28, 2017
Lua

deepsvg

alexandre01 / deepsvg

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Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

python svg machine-learning library deep-learning svg-animations pytorch transformer autoencoder sketches sketch-rnn deep-svg svg-vae

Updated Oct 22, 2020
Jupyter Notebook

charlesq34 / pointnet-autoencoder

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Autoencoder for Point Clouds

deep-learning point-cloud autoencoder pointnet

Updated Apr 24, 2020
Python

rickiepark / handson-ml

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도서 "핸즈온 머신러닝"의 예제와 연습문제를 담은 주피터 노트북입니다.

python machine-learning deep-neural-networks reinforcement-learning deep-learning neural-network random-forest tensorflow svm scikit-learn recurrent-neural-networks xgboost autoencoder ensemble-learning gradient-boosting

Updated Mar 4, 2020
Jupyter Notebook

sudharsan13296 / Hands-On-Deep-Learning-Algorithms-with-Python

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Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow

tensorflow word-embeddings gru autoencoder gans doc2vec skip-thoughts adagrad cyclegan deep-learning-mathematics capsule-network few-shot-learning quick-thought deep-learning-scratch nadam deep-learning-math lstm-math cnn-math rnn-derivation contractive-autonencoders

Updated Oct 2, 2020
Jupyter Notebook

lucashu1 / link-prediction

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Representation learning for link prediction within social networks

graph-algorithms social-network networkx autoencoder representation-learning link-prediction node2vec

Updated Sep 4, 2018
Jupyter Notebook

tensorlayer / awesome-tensorlayer

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A curated list of dedicated resources and applications

natural-language-processing database reinforcement-learning computer-vision tensorflow keras recurrent-neural-networks generative-adversarial-network mnist autoencoder segmentation tensorflow-tutorials convolutional-neural-networks tflearn tensorlayer lstm-neural-networks adversarial-learning cifar-10 tf-slim horovod

Updated Jan 15, 2020

ethanluoyc / pytorch-vae

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A Variational Autoencoder (VAE) implemented in PyTorch

machine-learning pytorch autoencoder pytorch-tutorials

Updated Aug 7, 2019
Python

conan7882 / adversarial-autoencoders

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Tensorflow implementation of Adversarial Autoencoders

tensorflow semi-supervised-learning autoencoder adversarial-networks adversarial-autoencoders

Updated Jan 10, 2019
Python

DuaneNielsen / DeepInfomaxPytorch

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Learning deep representations by mutual information estimation and maximization

compression deep-learning pytorch autoencoder

Updated Jan 11, 2019
Python

c1mone / Tensorflow-101

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中文的 tensorflow tutorial with jupyter notebooks

deep-learning tensorflow jupyter-notebook autoencoder

Updated Apr 28, 2018
Jupyter Notebook

tejaslodaya / timeseries-clustering-vae

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Variational Recurrent Autoencoder for timeseries clustering in pytorch

timeseries clustering autoencoder

Updated Dec 31, 2019
Python

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