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Merlion: A Machine Learning Framework for Time Series Intelligence
Python library for portfolio optimization built on top of scikit-learn
new version of bpl, implemented in numpyro
Library of derived climate variables, ie climate indicators, based on xarray.
Easily grab weather station data from around the globe (e.g. GHCN)
Experiment tracking server focused on speed and scalability
A Python package for tackling diverse environmental prediction tasks with NPs.
pix2tex: Using a ViT to convert images of equations into LaTeX code.
PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.
Machine learning Fantasy Premier League team
Probabilistic Numerics in Python.
A community repository for benchmarking Bayesian methods
Machine Learning for Algorithmic Trading, Second Edition - published by Packt
Basic and advanced MLflow examples for many ML flavors
Retrieve all birthdays from Facebook using Python
Implementation of the NP-CGP model from "Nonparametric Gaussian Process Covariances via Multidimensional Convolutions"
Template for writing reproducible machine learning papers
Predict time-series with one line of code.
World beating online covariance and portfolio construction.
Modelling stellar activity signals with Gaussian process regression networks
Scalable Gaussian Process Regression Networks
Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
An asynchronous Python wrapper for the Fantasy Premier League API.
Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/
Calculates various features from time series data. Python implementation of the R package tsfeatures.
Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes