dcv10's Stars
ml-hongkong/stock2vec
Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history
twairball/keras_lstm_vae
Keras implementation of LSTM Variational Autoencoder
ethanluoyc/pytorch-vae
A Variational Autoencoder (VAE) implemented in PyTorch
cdoersch/vae_tutorial
Caffe code to accompany my Tutorial on Variational Autoencoders
TomGeorge1234/oVAErian-Cancer
Code and data for my Part III Masters Project, University of Cambridge. This project looks at using variational autoencoders on Ovarian Cancer datasets to investigate methods of discovering gene signatures responsible for causing platinum resistance.
DocVaughan/MCHE485---Mechanical-Vibrations
Code supporting MCHE485: Mechanical Vibrations at the Univsersity of Louisiana at Lafayette
shaohua0116/VAE-Tensorflow
A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).
msmbuilder/vde
Variational Autoencoder for Dimensionality Reduction of Time-Series
hwalsuklee/tensorflow-mnist-CVAE
Tensorflow implementation of conditional variational auto-encoder for MNIST
edgarschnfld/CADA-VAE-PyTorch
Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)
timbmg/VAE-CVAE-MNIST
Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch
yzwxx/vae-celebA
Variational auto-encoder trained on celebA . All rights reserved.
matthewvowels1/Awesome-VAEs
A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.
nicola-decao/s-vae-tf
Tensorflow implementation of Hyperspherical Variational Auto-Encoders
nicola-decao/s-vae-pytorch
Pytorch implementation of Hyperspherical Variational Auto-Encoders
Chung-I/Variational-Recurrent-Autoencoder-Tensorflow
A tensorflow implementation of "Generating Sentences from a Continuous Space"
YannDubs/disentangling-vae
Experiments for understanding disentanglement in VAE latent representations
omerbsezer/Generative_Models_Tutorial_with_Demo
Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..
hwalsuklee/tensorflow-mnist-VAE
Tensorflow implementation of variational auto-encoder for MNIST
jaanli/variational-autoencoder
Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)
kvfrans/variational-autoencoder
generate MNIST using a Variational Autoencoder
keras-team/keras
Deep Learning for humans
nogilnick/pythonml
Artificial neural network classes and tools in Python and TensorFlow.
kartikay18/Stockpedia
Predicting Stock prices using Machine Learning
henriwoodcock/Stock-Price-Prediction
Machine and Deep Learning for Stock Price Prediction: Comparison of Classification and Regression Techniques
silviojaeger/ba_machine_learning_2019
Bachelor Thesis 2019, Stock market prediction using deep LSTM networks (Vorhersage von Aktienkursen mittels tiefen LSTM-Netzwerken), Joel Erzinger und Silvio Jäger, NTB - University of Applied Sciences Buchs
UWFlex/stock-prediction
Machine learning pipeline for training TensorFlow models to forecast stock prices. Written in Python.
mHernandes/ibovespa-forecast-using-machine-learning
Ibovespa (Brazil's main stock exchange index) forecast using a Nonlinear Autoregressive Exogenous Artificial Neural Network (NARX ANN) and Nonlinear Autoregressive Exogenous Least-Squares Support Vector Machine (NARX LS-SVM). For the NARX ANN, MATLAB's neural network toolbox was used. For the NARX LS-SVM, the LS-SVM toolbox (https://www.esat.kuleuven.be/sista/lssvmlab/) by Johan Suykens was used
huseinzol05/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations