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Search results for generative adversarial network lstm
generative-adversarial-network
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lstm
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16 search results found
Deeplearning
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7,463
深度学习入门教程, 优秀文章, Deep Learning Tutorial
Stockpredictionai
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3,235
In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good q
Ad_examples
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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.
Genmusic_demo_list
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477
a list of demo websites for automatic music generation research
Dl4j Tutorials
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429
dl4j 基础教程 配套视频:https://space.bilibili.com/327018681/#/
Papers For Molecular Design Using Dl
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367
List of molecular design using Generative AI and Deep Learning
Machine Learning Is All You Need
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337
🔥🌟《Machine Learning 格物志》: ML + DL + RL basic codes and notes by sklearn, PyTorch, TensorFlow, Keras & the most important, from scratch!💪 This repository is ALL You Need!
Lyrics Conditioned Neural Melody Generation
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324
Mprgdeeplearninglecturenotebook
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324
Basicocr
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324
BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院
Accel Brain Code
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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
Hands On Deep Learning Algorithms With Python
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241
Master Deep Learning Algorithms with Extensive Math by Implementing them using TensorFlow
Adversarial_video_summary
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216
Unofficial PyTorch Implementation of SUM-GAN from "Unsupervised Video Summarization with Adversarial LSTM Networks" (CVPR 2017)
Deep Learning With Python
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197
Deep learning codes and projects using Python
Data Scientist Books
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158
Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and Statistics, and more.)
Exermote
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103
Using Machine Learning to predict the type of exercise from movement data
S Lstm Gan Mnist
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73
This repository contains the source for the paper "S-LSTM-GAN: Shared recurrent neural networks with adversarial training"
Learning Tensorflow
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73
Using tensorflow to implement different deep learning model
Sequentialdata Gan
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68
Tensorflow Implementation of GAN modeling for sequential data
Stylenet
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53
A pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"
Tefla
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51
Tensorflow deep-learning framework
Pytorch Gan Timeseries
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47
GANs for time series generation in pytorch
Midi Lstm Gan
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40
Using LSTMs and GANs to Generate Music from MIDI Files (APM Fall 2018)
Cs231n
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36
PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"
Ecg Synthesis And Classification
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35
1D GAN for ECG Synthesis and 3 models: CNN, LSTM, and Attention mechanism for ECG Classification.
Machine Learning
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31
The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.
Zeta Learn
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27
zeta-lean: minimalistic python machine learning library built on top of numpy and matplotlib
Dialoguegenerationwithemotion
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27
Response generation giving specific emotion.
Moon Board Climbing
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25
Using Neural Networks to generate new rock climbs for the moon board
Mybook
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21
Simple Implementation Of Ml Algorithms
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17
My simplest implementations of common ML algorithms
Pytorch Hanbit
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17
Keras Deep Learning
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16
Various implementations and projects on CNN, RNN, LSTM, GAN, etc
Ecggan
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15
LSTM-GAN for generate plausible ECG signals
Lstm Gans Rul Prediction For Lithium Ion Bateries
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15
This paper summarizes a deep learning-based approach with an LSTM trained on the widely used Oxford battery degradation dataset and the help of generative adversarial networks (GANS).
Arae Tf
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15
ARAE-Tensorflow for Discrete Sequences (Adversarially Regularized Autoencoder)
Pytorch_models
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15
PyTorch study
Lstm Generative And Discriminative
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15
Nemesyst
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14
Generalised and highly customisable, hybrid-parallelism, database based, deep learning framework.
Videodcgan
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14
Implementation of a GAN that generates video using LSTM and ConvNet in Tensorflow
Cs231n
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13
My solutions for Assignments of CS231n: Convolutional Neural Networks for Visual Recognition
Cnn Lstm Gan Music Generation
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11
Ecg Gan
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11
Synthesize plausible ECG signals via Generative adversarial networks
Hypad
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10
The official PyTorch implementation of the IEEE/CVF CVPR Visual Anomaly and Novelty Detection (VAND) Workshop paper Are we certain it's anomalous?.
Ai Dancer
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10
A Long Short Term Memory Neural Network and Style GAN based Dancer that can generate new dance steps.
Apollogan
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9
[pytorch] music generation project by GAN network
Stock Price Prediction Using Gan
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9
In this project, we will compare two algorithms for stock prediction. First, we will utilize the Long Short Term Memory(LSTM) network to do the Stock Market Prediction. LSTM is a powerful method that is capable of learning order dependence in sequence prediction problems. Furthermore, we will utilize Generative Adversarial Network(GAN) to make the prediction. LSTM will be used as a generator, and CNN as a discriminator. In addition, Natural Language Processing(NLP) will also be used in this proj
Nebula
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9
Nebula: Lightweight Neural Network Benchmarks
Deep_learning_onboarding
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8
List of resources for deep learning
Udacity Deep Learning Nanodegree
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8
The course is contained knowledge that are useful to work on deep learning as an engineer. Simple neural networks & training, CNN, Autoencoders and feature extraction, Transfer learning, RNN, LSTM, NLP, Data augmentation, GANs, Hyperparameter tuning, Model deployment and serving are included in the course.
Deep Learning Nanodegree Udacity
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8
Deep Learning Nanodegree by Udacity.
Selfdrive
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8
⛊ Self Driving Car with Deep Learning
Deep Learning Nd
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7
Projects and exercises for the Deep Learning Nanodegree
Rnn Gan Experiment
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7
Using the MNIST set to experiment with GANs using RNNs
Machine Learning And Deep Learning
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6
A repository comprising the algorithms of Machine Learning implemented on tensorflow 2 with keras and many other special machine learning libraries.
Keras Applications
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6
Keras 응용(CNN, RNN, GAN, DNN, ETC...) 사용법 예시
Master
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6
Generative Models for Image Captioning
Lstmgan For Melody Generation
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6
An LSTM GAN implementation for music generation from MIDI files. The work closely follows work on GAN hacks in https://github.com/soumith/ganhacks
Tensorflowtoolbox
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5
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