emacsenli666

deep_trader

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

quantiacs-python

DEPRECATED Former Python version of Quantiacs toolbox and sample trading strategies. New toolbox available at: https://github.com/quantiacs/toolbox

awesome-quant

A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

bulbea

:boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

kungfu

Kungfu Trader

Activation-Visualization-Histogram

Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.

SNNs

Tutorials and implementations for "Self-normalizing networks"

tensorflow-zh

谷歌全新开源人工智能系统TensorFlow官方文档中文版

TH2-demos

演示如何使用天河2号及解决常见问题

bico

BICO is a fast streaming algorithm and reduction technique for the k-means problem. It is a python implementation of the original code from http://ls2-www.cs.uni-dortmund.de/bico/ .

StockPredictionRNN

High Frequency Trading Price Prediction using LSTM Recursive Neural Networks

rnn2d

CPU and GPU implementations of some 2D RNN layers

tensorflow-multi-dimensional-lstm

Multi dimensional LSTM as described in Alex Graves' Paper https://arxiv.org/pdf/0705.2011.pdf

deep-learning-HAR

Convolutional and LSTM networks to classify human activity

keras_bn_library

keras extended library

LSTMVRAE

Variational Recurrent Auto-Encoder using LSTM encoder/decoder networks

pyhht

Python toolbox for the Hilbert-Huang transform

PyEMD

Python implementation of Empirical Mode Decompoisition (EMD) method

smile

Statistical Machine Intelligence & Learning Engine

Sparse-Autoencoder

Stacked-Autoencoder

stockwell_transform

Stockwell Transform for python3

fst-uofc

Fast S-Transform http://sourceforge.net/projects/fst-uofc/

keras-contrib

Keras community contributions

Deep-Learning-TensorFlow

Ready to use implementations of various Deep Learning algorithms using TensorFlow.

TensorFlowDeepAutoencoder

MNIST Digit Classification Using Stacked Autoencoder And TensorFlow

libsdae-autoencoder-tensorflow

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

DenoisingAutoEncoder

Python implementation of Stacked Denoising Autoencoders for unsupervised learning of high level feature representation

cwt-tensorflow

Continuous wavelet transform (CWT) in tensorflow

tensorflow-wavenet

A TensorFlow implementation of DeepMind's WaveNet paper