jonahhill Goto Github PK

adversarial-validation

Creating a better validation set when test examples differ from training examples

algorepo

Repository for the Python3 code of my training

aq2o

The AQ2o repository.

arctic

High performance datastore for time series and tick data

atomictrader

trading f&*#ing size

auth0-discourse-plugin

Discourse plugin to authenticate with auth0.

auto-sklearn

auto_ml

Automated machine learning for analytics & production

awesome-courses

:books: List of awesome university courses for learning Computer Science!

awesome-machine-learning

A curated list of awesome Machine Learning frameworks, libraries and software.

awesome-quant

**的Quant相关资源索引

backtrader

Python Backtesting library for trading strategies

backtrader-dma

dual moving average crossover strategy for backtrader

bdateutil

Adds business day logic and improved data type flexibility to python-dateutil

benchmark

Equal-weighted and dollar-volume-weighted benchmark strategies for Moonshot

bigjson

Python library that reads JSON files of any size.

blpapi-python

Bloomberg Python API

bqplot

Plotting library for IPython/Jupyter Notebooks

bt

bt - flexible backtesting for Python

bulbea

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

byon-dockerhub

Bring Your Own Node to automated testing on Docker Hub

bypass-paywalls-chrome

Bypass Paywalls web browser extension for Chrome and Firefox.

chartpy

Easy to use Python API wrapper to plot charts with matplotlib, plotly, bokeh and more

codeload-demo

Demo configuration files and strategy code for QuantRocket

codesamples_xtapi_cpp

X_TRADER® API Sample Applications in Unmanaged C++

coding-interview-university

A complete computer science study plan to become a software engineer.

cufflinks

Productivity Tools for Plotly + Pandas

data-analysis-and-machine-learning-projects

Repository of teaching materials, code, and data for my data analysis and machine learning projects.

data-driven-code

Code related to session at PyCon Canada 2016

datasciencepython

common data analysis and machine learning tasks using python