neelabh-singh Goto Github PK

anomaliesinoptions

In this notebook we will explore a machine learning approach to find anomalies in stock options pricing.

avrosamplecode-master

dataflowjavasdk

Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.

dl_forfinance

This git repository is based on the work of J.Heaton, N.Polson and J.Witte and their articleDeep Learning for Finance: Deep Portfolios. This paper let us explore the use of deeplearning models for problems in financial prediction and classification. Our goal isto show how applying deep learning methods to these problems can produce betteroutcomes than standard methods in finance or in Machine Learning

machine-learning-asset-management

Machine Learning in Asset Management

machinelearningstocks

Using python and scikit-learn to make stock predictions

mlfinlab

Package based on the work of Dr Marcos Lopez de Prado regarding his research with respect to Advances in Financial Machine Learning

performanceanalytics

pyportfolioopt

Financial portfolio optimisation in python, including classical efficient frontier and advanced methods.

pythonfinance-portfoliooptimization

Python for Portfolio Optimization: The Ascent! First working lessons to ascend the hilly terrain of Portfolio Optimization in seven strides (Lessons), beginning with the fundamentals (Lesson 1) and climbing slope after slope (Lessons 2-6), to reach the first peak of constrained portfolio optimization models (Lesson 7), amongst a range of peaks waiting beyond!

sa-ccr-code

Basel III Standardized Approach for Counterparty Credit Risk Management

sa-ccr-python

startupdatascience

winutils

Windows binaries for Hadoop versions (built from the git commit ID used for the ASF relase)