emaballarin / deeplearning-units
π§ π§π»βπ» Repository for the Deep Learning course labs/practica (UniTS, Spring 2024)
β36Updated 10 months ago
Alternatives and similar repositories for deeplearning-units:
Users that are interested in deeplearning-units are comparing it to the libraries listed below
- Repository for the Probabilistic Machine Learning labs/practica (@ UniTS, Spring 2024)β19Updated 10 months ago
- Slides, exercises and resources for the 2023-2024 course on "Cloud-Computing Module 1" under the "Scientific and Data-Intensive Computingβ¦β15Updated last year
- This repository is dedicated to the lab activities of the course of Unsupervised Learning @Unitsβ9Updated last year
- Repository for the Advanced Topics in Machine Learning practica (@ UniTS, Spring 2023)β18Updated 4 months ago
- β18Updated 2 years ago
- π²π§π»βπ« Repository for the Probabilistic Machine Learning labs/practica (@ UniTS, Spring 2023)β10Updated last year
- Slides, exercises and resources for the 2023-2024 course "High Performance Computing" under the "Scientific and Data-Intensive Computing"β¦β33Updated 10 months ago
- Curated repository for all the teaching materials (courses, seminars, etc.) provided by the lab and its members.β8Updated 6 months ago
- Probabilistic Machine Learning course lab @UNITSβ18Updated 2 years ago
- β14Updated last month
- β11Updated 4 years ago
- Physics-Informed Neural networks for Advanced modelingβ471Updated last week
- A simple Python package for deep learning using forward automatic differentiation based on JAX.β14Updated 2 years ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)β541Updated 2 months ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEsβ166Updated 6 months ago
- A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, iβ¦β740Updated 2 months ago
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.β200Updated 5 months ago
- β10Updated last year
- Code accompanying my blog post: So, what is a physics-informed neural network?β598Updated 3 years ago
- β334Updated 2 years ago
- Using graph network to solve PDEsβ382Updated last year
- A simple implementation of SPSA with automatic learning rate tuningβ33Updated 2 years ago
- Learning nonlinear operators via DeepONetβ634Updated 2 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNsβ¦β384Updated 3 weeks ago
- β13Updated 7 months ago
- β192Updated 8 months ago
- β439Updated 3 weeks ago
- This repository collects the materials from the course "Foundations of HPC", 2021, at the Data Science and Scientific Computing Departmenβ¦β23Updated 2 years ago
- This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by meansβ¦β175Updated 4 years ago
- We develop a custom ML routine XNODE-WAN to solve parabolic PDEs with high efficiency.β11Updated 2 years ago