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rake-tutorial

A python implementation of the Rapid Automatic Keyword Extraction

reinforcement-learning-paper

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials

review-helpfulness-prediction

Project of automatically detecting review helpfulness. Using

rl-baselines-zoo

A collection of pre-trained RL agents using Stable Baselines

sabr-calibration

Calibration of Hagan'a SABR stochastic volatility model using QuantLib

sabr.neldermead_studies_2

SABR NelderMead volatility

self-driving-car

The Udacity open source self-driving car project

sentiment-analysis-in-event-driven-stock-price-movement-prediction

Use NLP to predict stock price movement associated with news

sfmlearner

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

softwaredesign

This repo contains software design related documents and information.

spinningup

Spinning Up in Deep RL

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.

system-design-primer

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

tensorflow-course

Simple and ready-to-use tutorials for TensorFlow

tensorflow-object-detection-api-tutorial-train-multiple-objects-windows-10

How to train a TensorFlow Object Detection Classifier for multiple object detection on Windows

tensorflow_cookbook

Code for Tensorflow Machine Learning Cookbook

tensortrade

An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.

text-analytics-with-python

Learn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.

thesis

Reinforcement Learning for Automated Trading

topics

Topic modeling with gensim and LDA

trace-ark-trades

Record all purchases and sales made by ARK Invest from 11/12/2019 to the present and visualize these trades via TradingView

trade-frame

C++ 17 based library (with sample applications) for testing equities, futures, etfs & options based automated trading ideas using DTN IQFeed real time data feed and Interactive Brokers (IB TWS API) for trade execution. Some support for Alpaca & Phemex. Notifications via Telegram [irc: Libra #tradeframe ]

tradery

A C++ library and utility for algorithmic trading system back-testing

twitter-sentiment-analysis

Sentiment analysis on tweets using Naive Bayes, SVM, CNN, LSTM, etc.

vadersentiment

VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

vadersentimentjava

Java port of Python NLTK Vader Sentiment Analyzer. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based sentiment analysis tool that is specifically attuned to sentiments expressed in social media, and works well on texts from other domains.

wondertrader

WonderTrader——量化研发交易一站式框架

wtpy

wtpy是基于wondertrader为底层的针对python的子框架

yelp_nlp

NLP Analysis of Yelp Restaurant Reviews