bijanx Goto Github PK

prettytensor

Pretty Tensor: Fluent Networks in TensorFlow

pyportfolioopt

Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

pysc2

StarCraft II Learning Environment

pysc2-examples

StarCraft II - pysc2 Deep Reinforcement Learning Examples

python-ml-rolling-grid-search

Hyperparameter tuning and rolling time-series forecast for machine learning models

pyts

A Python package for time series classification

rails

Ruby on Rails

rails-hamljs

react-router

Declarative routing for React

ruby-pg

Github mirror for the Ruby PostgreSQL client library

ruby-plsql

ruby-plsql gem provides simple Ruby API for calling Oracle PL/SQL procedures. It could be used both for accessing Oracle PL/SQL API procedures in legacy applications as well as it could be used to create PL/SQL unit tests using Ruby testing libraries.

ruby-style-guide

A community-driven Ruby coding style guide

sequel

Sequel: The Database Toolkit for Ruby

significanttrades

better than 1 min chart

spectacle

Supports 1/4 screen width. Trigged upon third keypress to 1/2 window size.

squeel

Active Record 3, improved.

squirm_rails

Easily use and manage Postgres stored procedures with Active Record.

stock-prediction-models

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

stocker

Docker starter app

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.

stocksharp

Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).

ta

Technical Analysis Library using Pandas and Numpy

tai

A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine

thailand

Provinces, districts and subdistricts of Thailand

timeseriescv

Scikit-learn style cross-validation classes for time series data

tmux-cpu

Plug and play cpu percentage and icon indicator for Tmux.

toybox

travis-web

The Ember web client for Travis CI

tsfresh

Automatic extraction of relevant features from time series:

unicorn-easy-restart

A Node.js daemon to aid in the downtime-less reloads of unicorn-powered apps. No longer maintained.