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data-analysis

Data Science Using Python

deeplearningflappybird

Flappy Bird hack using Deep Reinforcement Learning (Deep Q-learning).

devexpwinform_csharptest

interview question

estore3

github

installations_mac_ubuntu_windows

Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).

kafka-manager

A tool for managing Apache Kafka.

kafka-sharp

A C# Kafka driver

keras-rl

Deep Reinforcement Learning for Keras.

lendingclub

A Python API for LendingClub

machine_learning_examples

A collection of machine learning examples and tutorials.

msm_matlab

Matlab implementation of the Markov Switching Multifractal model

n-beats

Pytorch/Keras implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

okta-websocket-csharp-example

Sample app for integrating web sockets in C#.

phd-2048

Move the bricks to complete your PhD

practice

pso-based-svr

PSO-Based-SVR to forecast potential delay time of bus arrival. Applied on City of Edmonton real data.

pyswarm

Particle swarm optimization (PSO) that supports constraints

reliablepubsub

rl-flappybird

Use reinforcement learning to train a flappy bird which NEVER dies in Python.

rugarch

:exclamation: This is a read-only mirror of the CRAN R package repository. rugarch — Univariate GARCH Models. Homepage: http://www.unstarched.net, https://bitbucket.org/alexiosg

s02e03-websockets-vs-signalr

sagelib

Git mirror of http://hg.sagemath.org/sage-main/

samples

Samples of NetMQ

timeseries-forecasting

A survey of timeseries analysis in python

trojan-go

Go实现的Trojan代理，支持多路复用/路由功能/CDN中转/Shadowsocks混淆插件，多平台，无依赖。A Trojan proxy written in Go. An unidentifiable mechanism that helps you bypass GFW. https://p4gefau1t.github.io/trojan-go/

web2py-appliances

Set of Example Web2py Appliances