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a-dual-stage-attention-based-recurrent-neural-network-for-time-series-prediction

adv-alstm

Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019

ae_ts

Auto encoder for time series

auto_encoder

Auto encoder models(Seq2Seq, VAE)

awesome-deep-reinforcement-learning-in-finance

🔬 A collection for those AI (RL / DL / SL / Evoluation / Genetic Algorithm) used in financial market. otherwise, we add Technology Analysis / Alpha Research / Arbitrage and other useful strategies tools & docs in quantitative finance market.

bioinformatics

Organized code for bioinformatics

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

cle

deep-direct-reinforcement-learning-for-financial-signal-representation-and-trading

A deep learning model for Financial Signal Representation and Trading

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

gru-d

GRU-D, a GRU-based model with trainable decays for multivariate time series classification with missing values/irregular samplings

gru-d-1

Gated Recurrent Unit with a Decay mechanism for Multivariate Time Series with Missing Values

handwriting_generation

A handwriting synthesis model based on Alex Grave's paper <Generating Sequences with Recurrent Neural Networks>

hexo-theme-indigo

一个Material Design风格的Hexo主题。 https://imys.net/ 　　 备用:

learnopencv

Learn OpenCV : C++ and Python Examples

leetcode

Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.

leetcode-1

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

leetcodeanimation

Demonstrate all the questions on LeetCode in the form of animation.（用动画的形式呈现解LeetCode题目的思路）

nips2015_vrnn

notes

pgportfolio

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

pyspark_python_note

Notes for functions

pytorch-attention

pytorch neural network attention mechanism

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

reinforcement-learning-in-portfolio-management-

In this paper, we implement three state-of-art continuous reinforcement learning algorithms, Deep Deterministic Policy Gradient (DDPG), Proximal Policy Optimization (PPO) and Policy Gradient (PG)in portfolio management.

rnn-variable-sequence-lengths-in-tensorflow

rnn_svae

RNN SVAE model

sentence-vae

PyTorch Re-Implementation of "Generating Sentences from a Continuous Space" by Bowman et al 2015 https://arxiv.org/abs/1511.06349

srnn

Code for "Sequential Neural Models with Stochastic Layers"

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs