luca-heltai / numerical-analysis-2021-2022
☆14Updated last year
Alternatives and similar repositories for numerical-analysis-2021-2022:
Users that are interested in numerical-analysis-2021-2022 are comparing it to the libraries listed below
- Curated repository for all the teaching materials (courses, seminars, etc.) provided by the lab and its members.☆8Updated 5 months ago
- Numerical Analysis -- Applied Mathematics☆27Updated 3 years ago
- A simple Python package for deep learning using forward automatic differentiation based on JAX.☆14Updated 2 years ago
- Applied Mathematics: an Introduction to Scientific Computing by Numerical Analysis☆16Updated last year
- This repository collects the materials from the course "Foundations of HPC", 2021, at the Data Science and Scientific Computing Departmen…☆23Updated 2 years ago
- Repository for the DL Course AA 2020-2021 @ DSSC UniTS☆12Updated 3 years ago
- MFN0824 - Notebooks and other materials for the practical part of the Neural Networks course (Physics Dept. @ Unito)☆11Updated last year
- Lecture slides, codes and materials for both the basic and advanced "Foundations of HPC" courses @UniTS, "Data Science and Scientific Com…☆35Updated last year
- This repository collects the materials from the course "Foundations of HPC" at Data Science and Scientific Computer, University of Triest…☆14Updated 4 years ago
- ☆11Updated 5 years ago
- Applied Mathematics - Numerical Analysis: An introduction to Scientific Computing☆13Updated 4 years ago
- Repository for the Advanced Topics in Machine Learning practica (@ UniTS, Spring 2023)☆18Updated 4 months ago
- Probabilistic Machine Learning course lab @UNITS☆18Updated 2 years ago
- A software package for flexible HPC GPs☆16Updated last month
- Hydrodynamic Cytoskeleton Simulator☆27Updated 10 months ago
- GATSBI: Generative Adversarial Training for Simulation-Based Inference☆18Updated last year
- Estimate derivatives with finite differences☆17Updated 4 months ago
- ☆14Updated last year
- Provides differentiable versions of common HEP operations and objectives.☆24Updated last year
- Efficient Differentiable n-d PDE solvers in JAX.☆27Updated 4 months ago
- Material for 'Mathematics of Deep Learning Workshop' (Invited Talk)☆17Updated 2 years ago
- A Metropolis-Hastings MCMC sampler accelerated via diffusion models☆13Updated 8 months ago
- Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…☆10Updated 2 years ago
- Turning SymPy expressions into JAX functions☆44Updated 4 years ago
- Random snippets of code I've developed over the years (generally when bored)☆12Updated last year
- An adaptive fast function approximator based on tree search☆16Updated 11 months ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- A Github template for writing LaTeX documents collaboratively with automatic rendering using Github actions.☆22Updated 2 years ago
- A paper describing the implementation of PySR and SymbolicRegression.jl☆54Updated last year
- ME 697 - Advanced Scientific Machine Learning☆21Updated this week