bijanx Goto Github PK
Name: bijan
Type: User
Bio: i like large models and I cannot lie
Name: bijan
Type: User
Bio: i like large models and I cannot lie
Pretty Tensor: Fluent Networks in TensorFlow
Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity
StarCraft II Learning Environment
StarCraft II - pysc2 Deep Reinforcement Learning Examples
Hyperparameter tuning and rolling time-series forecast for machine learning models
A Python package for time series classification
Ruby on Rails
Declarative routing for React
Github mirror for the Ruby PostgreSQL client library
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.
A community-driven Ruby coding style guide
Sequel: The Database Toolkit for Ruby
better than 1 min chart
Supports 1/4 screen width. Trigged upon third keypress to 1/2 window size.
Active Record 3, improved.
Easily use and manage Postgres stored procedures with Active Record.
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
Docker starter app
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.
Algorithmic trading and quantitative trading open source platform to develop trading robots (stock markets, forex, crypto, bitcoins, and options).
Technical Analysis Library using Pandas and Numpy
A composable, real time, market data and trade execution toolkit. Built with Elixir, runs on the Erlang virtual machine
Provinces, districts and subdistricts of Thailand
Scikit-learn style cross-validation classes for time series data
Plug and play cpu percentage and icon indicator for Tmux.
The Ember web client for Travis CI
Automatic extraction of relevant features from time series:
A Node.js daemon to aid in the downtime-less reloads of unicorn-powered apps. No longer maintained.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.