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2023_mooc_ecmwf

Contribution to ECMWF's MOOC on "Machine Learning in Weather & Climate"

ai-weather-awesome-lwms

🌍 A Collection of Awesome Large Weather Models (LWMs) | AI for Earth (AI4Earth) | AI for Science (AI4Science)

ai_books

Books related to Artificial Intelligence, Machine Learning, Deep Learning and Neural Networks

alphatensor

atlas

A library for numerical weather prediction and climate modelling

books-49

causal-inference-and-discovery-in-python

Causal Inference and Discovery in Python by Packt Publishing

codellama

Inference code for CodeLlama models

cppcoreguidelines

The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++

data-assimilation-fundamentals

This repository is a resource complementary to the book: Data Assimilation Fundamental: A unified formulation for state and parameter estimation

data-science

design-pattern-examples-in-cpp

UML model and code examples of design patterns for C++. The model is created with Astah.

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

enhancing-deep-learning-with-bayesian-inference

Enhancing Deep Learning with Bayesian Inference, published by Packt

fig-autocomplete

IDE-style autocomplete for your existing terminal & shell

generative-ai-design-patterns

A catalog of design patterns when building generative AI applications

graph_weather

PyTorch implementation of Ryan Keisler's 2022 "Forecasting Global Weather with Graph Neural Networks" paper (https://arxiv.org/abs/2202.07575)

graphcast

gsi

Gridpoint Statistical Interpolation

hands-on-graph-neural-networks-using-python

Hands-On Graph Neural Networks Using Python, published by Packt

intro_dgm

"Deep Generative Modeling": Introductory Examples

loki

Loki library from Modern C++ Design updated to work with JamPlus

loki-lib

Loki is a C++ library of designs, containing flexible implementations of common design patterns and idioms.

master-thesis-bayesiancnn

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

mesh

Mesh TensorFlow: Model Parallelism Made Easier

mooc-machine-learning-weather-climate

oops-public

Object Oriented Prediction System

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

pytorch-bayesiancnn

Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.

regional_workflow

To incorporate capabilities running fully cycled FV3SAR ensembles based hybrid GSI analysis and EnKF