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machine_learning_poc

The repository for various machine learning POC

math-of-machine-learning-course-by-siraj

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

mlfinlab

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

mltools

neural-processes

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

neural-processes-1

nifi-addons

Additional convenience processors not found in core Apache NiFi

nifi-protobuf-processor

An Apache NiFi processor to encode and decode data using Google Protocol Buffer schemas.

nifi-templates

A collection of templates for use with Apache NiFi.

notebook

nucleus-sdk

Nucleus SDK with instructions and examples on how to use Nucleus APIs

numba_tutorial_scipy2017

presentations

Slide show presentations regarding data driven investing.

presentations-1

My presentations

prophet

Financial markets analysis framework for programmers

pwc

Papers with code. Sorted by stars. Updated weekly.

pyalgotrade

Python Algorithmic Trading Library

pydata-talk---intro-to-pymc3

Companion code for my PyData talk: "Introduction to Probabilistic Programming with PyMC3"

pyportfolioopt

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

pysystemtrade

Systematic Trading in python

python

All Algorithms implemented in Python

python-patterns

A collection of design patterns/idioms in Python

python_for_finance

qsforex

QuantStart Forex Backtesting and Live Trading

qstrader

QuantStart.com - Advanced Trading Infrastructure

reinforcement-learning

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

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

research

Contains all the Jupyter Notebooks used in our research

selfstudy-note-for-advances-in-financial-machine-learning

Notebook for <Advances in Financial Machine Learning> using Python 3.7

shap

A unified approach to explain the output of any machine learning model.