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49 search results found

Aialpha ⭐ 1,618

Use unsupervised and supervised learning to predict stocks

Deeplearning_tutorials ⭐ 1,216

The deeplearning algorithms implemented by tensorflow

Tensorflow Tutorial ⭐ 751

TensorFlow and Deep Learning Tutorials

Ad_examples ⭐ 738

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.

Dancenet ⭐ 453

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

Time Series Autoencoder ⭐ 386

📈 PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series 📈

Sequitur ⭐ 370

Library of autoencoders for sequential data

Easy Deep Learning With Keras ⭐ 336

Keras tutorial for beginners (using TF backend)

Kekoxtutorial ⭐ 289

전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.

Accel Brain Code ⭐ 289

The purpose of this repository is to make prototypes as case study in the context of proof of concept(PoC) and research and development(R&D) that I have written in my website. The main research topics are Auto-Encoders in relation to the representation learning, the statistical machine learning for energy-based models, adversarial generation networks(GANs), Deep Reinforcement Learning such as Deep Q-Networks, semi-supervised learning, and neural network language model for natural language proces

Deepadots ⭐ 270

Repository of the paper "A Systematic Evaluation of Deep Anomaly Detection Methods for Time Series".

Hands On Deep Learning Algorithms With Python ⭐ 241

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

Autoencoder ⭐ 207

Text autoencoder with LSTMs

Hierarchical Neural Autoencoder ⭐ 204

Deep Learning For Hackers ⭐ 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)

Lstm Autoencoder ⭐ 172

TensorFlow LSTM-autoencoder implementation

Variational Lstm Autoencoder ⭐ 155

Lstm variational auto-encoder API for time series anomaly detection and features extraction

Lstm Autoencoders ⭐ 134

Anomaly detection for streaming data using autoencoders

Variational Lstm Autoencoder ⭐ 131

Variational Seq2Seq model

Repo 2016 ⭐ 105

R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation

Video_predict ⭐ 75

LSTM sequence modeling of video data

Transfer Learning Text Tf ⭐ 74

Tensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)

Wsae Lstm ⭐ 61

implementation of WSAE-LSTM model as defined by Bao, Yue, Rao (2017)

Lstm Autoencoder ⭐ 60

Seq2Seq LSTM Autoencoder

Thio - a playground for real-time anomaly detection

Recurrent_autoencoder ⭐ 28

Sequence-to-sequence autoencoder for unsupervised learning of nonlinear dynamics (Tensorflow).

Zeta Learn ⭐ 27

zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib

Vae In Predicting Stock ⭐ 24

VAE in feature extraction help predicting stock

Frame Predict Vae Lstm ⭐ 23

Predicting image frames using autoencoder and LSTM

Lstm_anomaly_detector ⭐ 22

A try to autoencode an LSTM to do anomaly detection

Awesome Deep Learning Chainer Examples List ⭐ 21

Chainer example codes list

Lstm Vae Torch ⭐ 20

A Simple Pytorch Implementation of LSTM-based Variational Autoencoder(VAE)

Host Load Prediction With Lstm ⭐ 18

host load prediction with Long Short-Term Memory in cloud computing

Classifying Vae Lstm ⭐ 18

music generation with a classifying variational autoencoder (VAE) and LSTM

Deepsign A Deep Learning Architecture For Sign Language Recognition ⭐ 17

Pytorch Hanbit ⭐ 17

ARAE-Tensorflow for Discrete Sequences (Adversarially Regularized Autoencoder)

Video_autoencoder ⭐ 15

Video lstm auto encoder built with pytorch. https://arxiv.org/pdf/1502.04681.pdf

Notebooks ⭐ 14

my-deeplearning-practice-notebooks

Adversarial Video Summarization Pytorch ⭐ 14

video summarization lstm-gan pytorch implementation

Hands-on in-person workshop for Deep Learning with TensorFlow

Physicsawareae ⭐ 13

The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-uniform parameter/time-varying grid, such that the Kolmogorov n-width of the mapped data on the learned grid is minimized.

Torchcoder ⭐ 12

PyTorch based autoencoder for sequential data

Seq2seq Autoencoder ⭐ 12

Theano implementation of Sequence-to-Sequence Autoencoder

Lstmprovisor Python ⭐ 11

Python implementation of LSTM improvisor training

Industrial Machinery Anomaly Detection ⭐ 11

Extract features and detect anomalies in industrial machinery vibration data using a biLSTM autoencoder

Lstm Based Stacked Autoencoder ⭐ 10

Track_sequence_anomaly_detection ⭐ 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

Network_anomaly_detection_deep_learning ⭐ 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”.

Deeptarget Tensorflow ⭐ 9

Code for Paper DeepTarget, especially LSTM autoencoder

Deep_learning_onboarding ⭐ 8

List of resources for deep learning

Generating Sentences Vae Lstm ⭐ 8

Deep Learning Nd ⭐ 7

Projects and exercises for the Deep Learning Nanodegree

Lstm_autoencoder ⭐ 7

LSTM Autoencoder that works with variable timesteps

Unsup_video_lstm ⭐ 6

Tensorflow2.0_notebooks ⭐ 6

Implementation of a series of Neural Network architectures in TensorFow 2.0

Foodallergypredictor ⭐ 6

Lhrparser ⭐ 5

An implementation of the parser described in "Non-Projective Dependency Parsing via Latent Heads Representation (LHR) - Matteo Grella and Simone Cangialosi (2018)" [DEPRECATED]

Music Variational Autoencoders ⭐ 5

Dbn_prediction ⭐ 5

from https://github.com/fuzimaoxinan/Tensorflow-Deep-Ne

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