t-triobox Goto Github PK

ntp

End-to-End Differentiable Proving

numcl

Numpy clone in Common Lisp

numpy

NumPy for Chez Scheme

ob-ipython

org-babel integration with Jupyter for evaluation of (Python by default) code blocks

on-lisp

A modernized and annotated code companion to Paul Graham's "On Lisp".

opendata

开源的金融投资数据提取工具，专注在各类网站上爬取数据，并通过简单易用的API方式使用

optimalportfolio

An open source library for portfolio optimisation

option-pricing-under-uncertainty

By means of stochastic volatility models

option_calculations

Python script to calculate a couple of options (financial derivatives) and Implied Volatilities for American and European options.

option_skew_project_public

option_tools

期权隐含波动率/历史波动率

options_backtester

Simple backtesting software for options

org-html-themes

How to export Org mode files into awesome HTML in 2 minutes

paip-lisp

Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"

pair-trading-reinforcement-learning

An Structural Application of Reinforcement Learning in Pair Trading

pandapy

PandaPy has the speed of NumPy and the usability of Pandas 10x to 50x faster (by @firmai)

pandas-bokeh

Bokeh Plotting Backend for Pandas and GeoPandas

pandas-ta

An easy to use Python 3 Pandas Extension with 80+Technical Analysis Indicators

penguindome

Simple Linux Mobile Device Management

penn-ml-benchmarks

PMLB: A large, curated repository of benchmark datasets for evaluating supervised machine learning algorithms.

pennai

PennAI: AI-Driven Data Science

petalisp

Elegant High Performance Computing

pgm_pylib

PGM_PyLib: A Python Library for Inference and Learning of Probabilistic Graphical Models

pgmpy

Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in Bayesian Networks.

pgportfolio

PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

poboquant

quant strategy backtesting from pobo financial

pomegranate

Fast, flexible and easy to use probabilistic modelling in Python.

prelude

Prelude is an enhanced Emacs 25.1+ distribution that should make your experience with Emacs both more pleasant and more powerful.

prince

:crown: Python factor analysis library (PCA, CA, MCA, MFA, FAMD)