fmottes / unito-neural-networksLinks
MFN0824 - Notebooks and other materials for the practical part of the Neural Networks course (Physics Dept. @ Unito)
☆12Updated last year
Alternatives and similar repositories for unito-neural-networks
Users that are interested in unito-neural-networks are comparing it to the libraries listed below
Sorting:
- Material for a full course on applied nonlinear dynamics, nonlinear timeseries analysis, and complex systems, in Julia☆65Updated last year
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- ☆36Updated 2 years ago
- ☆40Updated 4 years ago
- Repo to host book about Lagrangian Descriptors technique☆16Updated 2 years ago
- Dynamic mode decomposition with dependent structure among observables (Graph DMD)☆14Updated 6 years ago
- Website for JuliaDynamics and various resources, like notebooks, videos, etc.☆71Updated last year
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆21Updated last year
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆23Updated 2 years ago
- Two-day introduction course to Julia programming language☆19Updated 2 years ago
- A zoo of implementations of differential equation problems in NumPy and JAX. Oscillators, chemical reactions, n-body problems, epidemiolo…☆17Updated 2 years ago
- Code accompanying the NeurIPS 2021 Paper: A Probabilistic State Space Model for Joint Inference from Differential Equations and Data (Sch…☆13Updated 3 years ago
- Repository for the DL Course AA 2020-2021 @ DSSC UniTS☆13Updated 4 years ago
- Julia Workshop @ University of Oulu, Finnland☆81Updated 4 years ago
- ☆13Updated 4 years ago
- DifferentialEquations.jl with PyTorch☆11Updated 3 years ago
- Painless optimisation of constrained variables in AutoGrad, TensorFlow, PyTorch, and JAX☆23Updated 2 years ago
- Lecture notes for M3M6 Methods of Mathematical Physics☆44Updated 5 years ago
- A Julia package for manipulating data in the Riemannian Manifold of Positive Definite Matrices☆28Updated last month
- Kernels, the machine learning ones☆14Updated 2 years ago
- Reservoir computing utilities for scientific machine learning (SciML)☆223Updated this week
- Dynamical systems modeling in Julia with 🐜 & 🐟☆35Updated 3 years ago
- Algorithms for quantifying associations, independence testing and causal inference from data.☆167Updated 4 months ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 5 years ago
- Solving differential equations in parallel on GPUs - JuliaCon 2021 workshop☆95Updated 2 years ago
- Implementation of Transitional Markov Chain Monte Carlo (TMCMC) in Julia.☆17Updated 3 years ago
- A Julia package for generating timeseries surrogates☆55Updated 2 months ago
- Nonnegative Matrix Factorization + k-means clustering and physics constraints for Unsupervised and Physics-Informed Machine Learning☆17Updated this week
- Large scale simulation of ODEs or SDEs, analyze time series.☆25Updated 6 years ago
- Mathematical modelling of different strategies to reopen schools in the UK post COVID-19☆14Updated 3 years ago