rbcwmlab Goto Github PK

ai-project

Stock predictor using Machine Learning

automated-manual-comparison

Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.

automl_comparison

Comparison of automatic machine learning libraries

awesome-h2o

A curated list of research, applications and projects built using H2O Machine Learning

bulbea

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

coturn

coturn TURN server project

deep-reinforcement-learning-in-stock-trading

Using deep actor-critic model to learn best strategies in pair trading

machinelearningstocks

Using python and scikit-learn to make stock predictions

mastering-python-data-analysis

Mastering-Python-Data-Analysis

mldl

Machine Learning and Deep Learning Resources

nlgen

Natural Language Generator for Python

portfolio_allocation_js

A JavaScript library to allocate portfolios of financial assets.

pyspark-predictive-maintenance

Predictive Maintenance using Pyspark

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

qstrader

QuantStart.com - Advanced Trading Infrastructure

rnnlg

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

samples

WebRTC Web demos and samples

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

Use NLP to predict stock price movement associated with news

stock-market-prediction-machine-learning

—Machine Learning; stock prediction; Deep Learning; styling; LSTM(Long Short Term Memory)

stock-price-prediction

A practice project for machine learning and stop price prediction

stock-price-predictor

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

stock-rnn

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

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.

stockpriceprediction

Stock Price Prediction using Machine Learning Techniques

tesla-stocks-prediction

The implementation of LSTM in TensorFlow used for the stock prediction.

turbofan-engine-degradation

uci-dataset-analysis

Creating predictive models for different datasets in https://archive.ics.uci.edu/ml/datasets.html

video-chat-app

Simple P2P Text/Voice/Video chat client. Works on Chrome and Firefox, Platforms: Android, Windows, Linux, Mac. Just open the link in Browser, You don't need any extra tools for Video Chat. https://valarpirai.github.io/video-chat-app/

webrtc

Video chat App with WebRTC using Scaledrone Realtime Messaging Service

websdk

Web SDK for PCast™ enables massively scalable real-time video applications