Francesco Zanetta (frazane)

frazane

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Company:@MeteoSwiss @IACETH

Location:Switzerland

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Francesco Zanetta's starred repositories

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

hypothesis

Hypothesis is a powerful, flexible, and easy to use library for property-based testing.

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stumpy

STUMPY is a powerful and scalable Python library for modern time series analysis

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modulus

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

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extending-jax

Extending JAX with custom C++ and CUDA code

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kerchunk

Cloud-friendly access to archival data

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skpro

A unified framework for tabular probabilistic regression and probability distributions in python

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metnet3-pytorch

Implementation of MetNet-3, SOTA neural weather model out of Google Deepmind, in Pytorch

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falkon

Large-scale, multi-GPU capable, kernel solver

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earth2mip

Earth-2 Model Intercomparison Project (MIP) is a python framework that enables climate researchers and scientists to inter-compare AI models for weather and climate.

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cf-xarray

an accessor for xarray objects that interprets CF attributes

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tobac

Tracking and object-based analysis of clouds

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xeofs

Comprehensive EOF analysis in Python with xarray: A versatile, multidimensional, and scalable tool for advanced climate data analysis

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gpar

Implementation of the Gaussian Process Autoregressive Regression Model

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the-coding-club

Explore the pathway toward scaled-up scientific analysis with Earthdata in the cloud. These activities focus on the community with limited knowledge of the AWS cloud, which is still the majority.

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subseasonal_toolkit

Subseasonal forecasting models

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sgd-gp

Public code for running Stochastic Gradient Descent on GPs.

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xpartition

Tool for writing large xarray datasets to zarr stores with independent processes

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polytope

A library for extracting polytope "features" from datacubes

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TGP.pytorch

Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021

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operalib

Learning with operator-valued kernels

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TensorFlow-Probability-Bernstein-Polynomial-Bijector

A normalizing flow using Bernstein polynomials for conditional density estimation.

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cubed-xarray

Interface for using cubed with xarray

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nwp-consumer

Microservice for consuming NWP data.

engression

Software implementations of engression by Shen and Meinshausen (2023)

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neural-lam

Neural Weather Prediction for Limited Area Modeling

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icon_data_processing_incubator

Prototype for data processing framework

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