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Merlion: A Machine Learning Framework for Time Series Intelligence

Python 3,321 293 Updated Jun 20, 2024

Python library for portfolio optimization built on top of scikit-learn

Python 1,055 81 Updated Jul 1, 2024

new version of bpl, implemented in numpyro

Python 6 4 Updated Mar 22, 2024

Library of derived climate variables, ie climate indicators, based on xarray.

Python 314 54 Updated Aug 7, 2024

Easily grab weather station data from around the globe (e.g. GHCN)

Jupyter Notebook 25 11 Updated Oct 31, 2023

Experiment tracking server focused on speed and scalability

Go 97 18 Updated Aug 8, 2024

A Python package for tackling diverse environmental prediction tasks with NPs.

Python 71 12 Updated Aug 7, 2024

pix2tex: Using a ViT to convert images of equations into LaTeX code.

Python 11,541 960 Updated Jul 5, 2024

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Python 458 73 Updated Jun 17, 2024

Machine learning Fantasy Premier League team

Jupyter Notebook 268 83 Updated Jul 26, 2024

Probabilistic Numerics in Python.

Python 429 56 Updated May 1, 2024

A community repository for benchmarking Bayesian methods

Jupyter Notebook 106 38 Updated Nov 29, 2021

Machine Learning for Algorithmic Trading, Second Edition - published by Packt

Jupyter Notebook 1,164 459 Updated Jan 18, 2023

Basic and advanced MLflow examples for many ML flavors

Python 206 79 Updated Jul 21, 2024

Retrieve all birthdays from Facebook using Python

7 1 Updated Nov 7, 2020

Implementation of the NP-CGP model from "Nonparametric Gaussian Process Covariances via Multidimensional Convolutions"

Python 2 Updated Apr 14, 2023

Template for writing reproducible machine learning papers

TeX 6 2 Updated May 18, 2023

Predict time-series with one line of code.

Python 392 50 Updated Jun 5, 2023

World beating online covariance and portfolio construction.

Jupyter Notebook 194 31 Updated Jun 11, 2024

Modelling stellar activity signals with Gaussian process regression networks

Python 7 2 Updated Feb 20, 2023

Scalable Gaussian Process Regression Networks

Python 27 3 Updated Dec 20, 2022

Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen

Jupyter Notebook 176 23 Updated Mar 29, 2024

Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)

2,064 302 Updated Jun 30, 2024

A Library for Uncertainty Quantification.

Python 879 46 Updated Jul 15, 2024

An asynchronous Python wrapper for the Fantasy Premier League API.

Python 295 93 Updated Jul 26, 2024
Python 2 1 Updated Mar 3, 2023

Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/

Python 1,947 132 Updated Aug 7, 2024

Calculates various features from time series data. Python implementation of the R package tsfeatures.

Python 351 42 Updated Apr 23, 2024

Public Implementation of Volatility Based Kernels and Moving Average Means for Accurate Forecasting with Gaussian Processes

Jupyter Notebook 45 11 Updated Jul 23, 2022

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

PostScript 1 Updated Mar 30, 2023
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