dcv10

dcv10's Stars

• keras-team/keras

  Deep Learning for humans

  Language:Python62.3k1.9k12.3k19.5k

• huseinzol05/Stock-Prediction-Models

  Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

  Language:Jupyter Notebook8.2k3851252.9k

• jaanli/variational-autoencoder

  Variational autoencoder implemented in tensorflow and pytorch (including inverse autoregressive flow)

  Language:Python1.2k3326257

• YannDubs/disentangling-vae

  Experiments for understanding disentanglement in VAE latent representations

  Language:Python8031424145

• matthewvowels1/Awesome-VAEs

  A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

  79132377

• kvfrans/variational-autoencoder

  generate MNIST using a Variational Autoencoder

  Language:Python710238194

• timbmg/VAE-CVAE-MNIST

  Variational Autoencoder and Conditional Variational Autoencoder on MNIST in PyTorch

  Language:Python59785104

• cdoersch/vae_tutorial

  Caffe code to accompany my Tutorial on Variational Autoencoders

  Language:Python505258135

• hwalsuklee/tensorflow-mnist-VAE

  Tensorflow implementation of variational auto-encoder for MNIST

  Language:Python495186182

• ethanluoyc/pytorch-vae

  A Variational Autoencoder (VAE) implemented in PyTorch

  Language:Python41583107

• nicola-decao/s-vae-pytorch

  Pytorch implementation of Hyperspherical Variational Auto-Encoders

  Language:Python35671258

• 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..

  Language:Jupyter Notebook33216040

• edgarschnfld/CADA-VAE-PyTorch

  Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

  Language:Python28342957

• Chung-I/Variational-Recurrent-Autoencoder-Tensorflow

  A tensorflow implementation of "Generating Sentences from a Continuous Space"

  Language:Python22818772

• twairball/keras_lstm_vae

  Keras implementation of LSTM Variational Autoencoder

  Language:Python2285981

• nicola-decao/s-vae-tf

  Tensorflow implementation of Hyperspherical Variational Auto-Encoders

  Language:Python22717039

• msmbuilder/vde

  Variational Autoencoder for Dimensionality Reduction of Time-Series

  Language:Jupyter Notebook185131043

• yzwxx/vae-celebA

  Variational auto-encoder trained on celebA . All rights reserved.

  Language:Python18211744

• hwalsuklee/tensorflow-mnist-CVAE

  Tensorflow implementation of conditional variational auto-encoder for MNIST

  Language:Python15012440

• shaohua0116/VAE-Tensorflow

  A Tensorflow implementation of a Variational Autoencoder for the deep learning course at the University of Southern California (USC).

  Language:Jupyter Notebook12810040

• nogilnick/pythonml

  Artificial neural network classes and tools in Python and TensorFlow.

  Language:Python120160114

• UWFlex/stock-prediction

  Machine learning pipeline for training TensorFlow models to forecast stock prices. Written in Python.

  Language:Python5061911

• DocVaughan/MCHE485---Mechanical-Vibrations

  Code supporting MCHE485: Mechanical Vibrations at the Univsersity of Louisiana at Lafayette

  Language:Jupyter Notebook465032

• ml-hongkong/stock2vec

  Variational Reccurrent Autoencoder for Embedding stocks to vectors based on the price history

  Language:Jupyter Notebook385013

• henriwoodcock/Stock-Price-Prediction

  Machine and Deep Learning for Stock Price Prediction: Comparison of Classification and Regression Techniques

  Language:Python9123

• 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

  Language:MATLAB8101

• kartikay18/Stockpedia

  Predicting Stock prices using Machine Learning

  Language:Python4301

• 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

  Language:Python2103

• 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.

  Language:Jupyter Notebook2101