#
SeptumCapital
Follow
Starred repositories
Implementation of basic ML algorithms from scratch in python...
Learn to build on Solana!
Forecasting Functions for Time Series and Linear Models
Data, Benchmarks, and methods submitted to the M4 forecasting competition
Keras/Pytorch implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.
Hierarchical Time Series Forecasting using Prophet
Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Notebook based on the book "Advances in Financial Machine Learning" by Marcos Lopez de Prado
PyTrendFollow - systematic futures trading using trend following
The earnings conference call dataset of S&P 500 companies
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Restricted Boltzmann Machines in Python.
Experiments in Recurrent Highway Networks with Grouped Auxiliary Memory paper
Progressive Growing of GANs for Improved Quality, Stability, and Variation
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
The official code repository for examples in the O'Reilly book 'Generative Deep Learning'
Gaussian Process and Uncertainty Quantification Summer School 2018
Project Malmo is a platform for Artificial Intelligence experimentation and research built on top of Minecraft. We aim to inspire a new generation of research into challenging new problems presente…
Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"
Fast and Easy Infinite Neural Networks in Python
Hurst exponent evaluation and R/S-analysis in Python
