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bulbea

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

char-rnn

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

chinastock

chinastock **股票行情，数据

convnets-keras

day-trading-application

Use deep learning to make accurate future stock return predictions

easyquotation

实时获取新浪 / Leverfun 的免费股票以及 level2 十档行情 / 集思路的分级基金行情

get_recommend_stock

抓取同花顺智能选股和level2广告页股票推荐数据，并发送邮件给指定邮箱

hello-world

hello world

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.

lectures-labs

Slides and Jupyter notebooks for the Deep Learning lectures at M2 Data Science Université Paris Saclay

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

mammult

Metrics And Models for MULTilayer networks

multilayer-networks-library

The original library for analysing multilayer networks. http://www.mkivela.com/pymnet/

multilayerextraction

An R package to identify strongly connected vertex-layer communities in multilayer networks.

muxviz

Analysis and Visualization of Interconnected Multilayer Networks

mystock

linux查看实时查看股票信息(国内股票)，再也不用偷偷摸摸上班看手机啦。。

naturephys2021

This is the complementary repository of the paper "Reviving a failed network through microscopic interventions"

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

pdfminer

Python PDF Parser

py3plex

Py3plex - A multilayer complex network visualization and analysis library in python3

pyscipopt

Python interface for the SCIP Optimization Suite

python-yahoofinance

quantifying-network-structural-dissimilarities

Quantifying structural dissimilarities in networks

reactivity-of-complex-ecosystems

Code for paper Reactivity in complex ecosystems: when short-term dynamics are more important than stability

rnn-stocks-prediction

Another attempt to use Deep-Learning in the financial markets

sinafinancecrawler

爬取新浪财经网站中的个股新闻，例如（http://vip.stock.finance.sina.com.cn/corp/view/vCB_AllNewsStock.php?symbol=sz000001 ）页面中的新闻信息。

spatio-temporal-

Matlab codes used in the paper "Predicting the patterns of spatio-temporal signal propagation in complex networks"

stock

python使用线程池实时获取股票价格 python use threading pool to get the stock's price via terminal

stock-market-movement-prediction-using-news-feed-python-and-r

This project is about Stock Market Movement Prediction using News-Feed in Python and R (Deep Learning and Sentiment Analysis)