Stock Price Prediction using Machine Learning Techniques

Matlab Module for Stock Market Prediction using Simple NN

Implementation of some deep learning algorithms.

Matlab Environment for Deep Architecture Learning

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to …

MNIST Digit Classification Using Stacked Autoencoder And TensorFlow

A simple Tensorflow based library for deep and/or denoising AutoEncoder.

用 MATLAB 实现深度学习网络中的 stacked auto-encoder：使用AE variant（de-noising / sparse / contractive AE）进行预训练，用BP算法进行微调

Implementation of FractalNet by chainer (FractalNet: Ultra-Deep Neural Networks without Residuals: https://arxiv.org/abs/1605.07648)

Implementation of FractalNet.

FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals

Learning joint representation with a Multimodal Deep Boltzmann Machine

Matlab Code for Restricted/Deep Boltzmann Machines and Autoencoders

Simple implementation of Deep Boltzmann Machine

High Frequency Trading Price Prediction using LSTM Recursive Neural Networks

LSTM-MATLAB is Long Short-term Memory (LSTM) in MATLAB, which is meant to be succinct, illustrative and for research purpose only. It is accompanied with a paper for reference: Revisit Long Short-T…

An LSTM for time-series classification

Deep RNNs, LSTM networks and automatic differentiation package in Java

DeepDriver is a JAVA framework of Deep Learning, it supports ANN/CNN/DNN/RNN/LSTM now, hope it can be widely used for deep learning development.

Time series prediction using LSTM classifier

Predict stock with LSTM supporting pytorch, keras and tensorflow

Stock price prediction with LSTMs in TensorFlow

Tensorflow implementation of paper: Learning to Diagnose with LSTM Recurrent Neural Networks.

A long term short term memory recurrent neural network to predict forex data time series

Using scala to implement tiny LSTM, mainly focusing on the BPTT process of training the network.

Plain Stock Close-Price Prediction via Graves LSTM RNNs

this is a matlab toolbox of deep learning about sequences learning, object-oriented,including rnn, lstm and encoder decoder(sequences to sequences) etc.GPU version is available

some small codes about deep learning

Minimal, clean example of lstm neural network training in python, for learning purposes.