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linkedin

Linkedin Scraper using Selenium Web Driver, Chromium headless, Docker and Scrapy

lstm---stock-prediction

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

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

machine-learning-for-trading

Code for Machine Learning for Algorithmic Trading, 2nd edition.

mastering.python.design.patterns

《精通Python设计模式》2015年1月

meta-labeling

Code base for the meta-labeling papers published with the Journal of Financial Data Science

models

Models and examples built with TensorFlow

multiagent-competition

Repository for competitive multi-agent environments

multidimensional-lstm-bitcoin-time-series

Using multidimensional LSTM neural networks to create a forecast for Bitcoin price

nn-grocery-shelves

Recognition of product positions on shelf images using neural networks

note_rl

objectdetectionapi

pigface train and detection

orderbook-dynamics

Modeling high-frequency limit order book dynamics with support vector machines

personae

📈 Personae is a repo of implements and environment of Deep Reinforcement Learning & Supervised Learning.

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).

pig_face_recognition

京东JDD猪脸识别比赛

portia

Visual scraping for Scrapy

pysc2

StarCraft II Learning Environment

python

Python script and Documents

python-patterns

A collection of design patterns/idioms in Python

raven

raven is a Linkedin information gathering tool that can be used by pentesters to gather information about an organization employees using Linkedin.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

rplibs

Refs.cn 原型设计元件库，基于Axure RP 8，支持 Android、Apple、Windows、微信，移动、桌面平台的应用和网站原型设计。

scrapy-examples

Multifarious Scrapy examples. Spiders for alexa / amazon / douban / douyu / github / linkedin etc.

stock-rnn

Predict stock market prices using RNN model with multilayer LSTM cells + optional multi-stock embeddings.

stock_predict_with_lstm

stock_predict_with_LSTM

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

stocks_rnn

Stock price prediction with LSTMs in TensorFlow

study_notes_python

tensorflow-handbook

简单粗暴 TensorFlow 2.0 | A Concise Handbook of TensorFlow 2.0