Easy-to-use hyper-parameters optimization environment for Deep Learning simulations

FAIR Scientific Machine Learning

Simple finite element assemblers

Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

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

Learning in infinite dimension with neural operators.

This repository contains implementations and illustrative code to accompany DeepMind publications

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

See if we can't do some real-time learning for GMRES -- Rejoice!

Demos for distributed training based on Horovod

Proyectos del curso de Web Scraping del MDS UAI 2022

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

A library for scientific machine learning and physics-informed learning

A symbolic finite element definition library

Tutorials for Horovod

Solving wave problems using FEniCS-X

Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed computing

Charla de web scraping sobre datos públicos de Chile

A uniform interface to run deep learning models from multiple frameworks

Visualization of Chile's COVID-19 data

Generates an animation of COVID-19 data

A fast Python based just-in-time compiling boundary element library

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

Somos un grupo de voluntarios. Queremos ser la plataforma de mayor cantidad de datos y herramientas de análisis de datos relativas al COVID-19 en Chile.