Beast code in Giters

Ed Chow's starred repositories

figaro

Figaro Programming Language and Core Libraries

Language:HTMLNOASSERTION75600

fast-wavenet

Speedy Wavenet generation using dynamic programming :zap:

Language:PythonGPL-3.0176100

tensorflow-wavenet

A TensorFlow implementation of DeepMind's WaveNet paper

Language:PythonMIT540800

web-traffic-forecasting

Kaggle | Web Traffic Forecasting 📈

Language:Python66600

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

Language:PythonApache-2.0804200

reinforcement-learning

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

Language:Jupyter NotebookMIT2049300

universe

Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.

Language:PythonMIT746700

blocksparse

Efficient GPU kernels for block-sparse matrix multiplication and convolution

Language:CudaMIT102100

tensorflow

An Open Source Machine Learning Framework for Everyone

Language:C++Apache-2.018601900

TensorFlow-Tutorials

Simple tutorials using Google's TensorFlow Framework

Language:Jupyter Notebook600500

btgym

Scalable, event-driven, deep-learning-friendly backtesting library

Language:PythonLGPL-3.098400

pixel-cnn

Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

Language:PythonNOASSERTION191700

gym

A toolkit for developing and comparing reinforcement learning algorithms.

Language:PythonNOASSERTION3463800

StockSharp

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

Language:C#Apache-2.0715800

Trady

Trady is a handy library for computing technical indicators, and it targets to be an automated trading system that provides stock data feeding, indicator computing, strategy building and automatic trading. It is built based on .NET Standard 2.0.

Language:C#Apache-2.054500

variational-autoencoder

generate MNIST using a Variational Autoencoder

Language:PythonApache-2.070600

turicreate

Turi Create simplifies the development of custom machine learning models.

Language:C++BSD-3-Clause1119600

libffm

A Library for Field-aware Factorization Machines

Language:C++BSD-3-Clause159600

xlearn

High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and field-aware factorization machines (FFM) for Python and CLI interface.

Language:C++Apache-2.0308600