This project used bitcoin, S&P500, and gold to construct an investment portfolio that aimed to minimize risk by minimizing variance. This is submitted as an entry for the DataCamp "Improving the performance of an investment fund" competition.
Machine-Learning-Algorithms In this project, the dataset was created through a survey opened on Google forms. The purpose of the form is to find the p
Pandas Machine Learning and Quant Finance Library Collection
changepy Changepoint detection in time series in pure python Install pip install changepy Examples from changepy import pelt from cha
Data Science on AWS - O'Reilly Book Get the book on Amazon.com Book Outline Quick Start Workshop (4-hours) In this quick start hands-on workshop, you
Implementation of different ML Algorithms from scratch, written in Python 3.x
Fully Adversarial Mosaics (FAMOS) Pytorch implementation of the paper "Copy the Old or Paint Anew? An Adversarial Framework for (non-) Parametric Imag
Collatz Conjecture A simple python program that draws a tree for incrementing values using the Collatz Conjecture. Values which can be edited: Length
The Simpsons and Machine Learning: What makes an Episode Great? Check out my Medium article on this! PROBLEM: The Simpsons has had a decline in qualit
pyts: a Python package for time series classification pyts is a Python package for time series classification. It aims to make time series classificat
Description FairScale is a PyTorch extension library for high performance and large scale training on one or multiple machines/nodes. This library ext
sk-dist: Distributed scikit-learn meta-estimators in PySpark What is it? sk-dist is a Python package for machine learning built on top of scikit-learn
By Investors, For Investors. Want to read this in Chinese? Click here Empyrial is a Python-based open-source quantitative investment library dedicated
tslearn The machine learning toolkit for time series analysis in Python Section Description Installation Installing the dependencies and tslearn Getti
time-series This package contains all necessary files for the course Ocean/Atmosphere Time Series Analysis, an introduction to data and time series an
Dynet A concept I came up which ditches the idea of "layers" in a neural network. Install Copy Dynet.py to your project. Run the example Install matpl
PyFlux PyFlux is an open source time series library for Python. The library has a good array of modern time series models, as well as a flexible array
nbdime provides tools for diffing and merging of Jupyter Notebooks.
DAS Dual Adaptive Sampling for Machine Learning Interatomic potential. How to cite If you use this code in your research, please cite this using: Hong
Python-Fast-Raytracer A basic Ray Tracer that exploits numpy arrays and functions to work fast. The code is written keeping as much readability as pos
sklearn-evaluation Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking, and Jupyter notebook analysis. Suppo
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