ansuini / DSSC_DL_2021Links
Repository for the DL Course AA 2020-2021 @ DSSC UniTS
☆12Updated 4 years ago
Alternatives and similar repositories for DSSC_DL_2021
Users that are interested in DSSC_DL_2021 are comparing it to the libraries listed below
Sorting:
- MFN0824 - Notebooks and other materials for the practical part of the Neural Networks course (Physics Dept. @ Unito)☆12Updated last year
- Mathematical modelling of different strategies to reopen schools in the UK post COVID-19☆14Updated 3 years ago
- ☆13Updated 3 years ago
- A repository with some Deep Reinforcement Learning baselines written in julia using Flux.☆12Updated 2 years ago
- Course 5SSD0 - Bayesian Machine Learning and Information Processing☆50Updated 3 weeks ago
- ☆40Updated 3 years ago
- Code accompanying the NeurIPS 2021 Paper: A Probabilistic State Space Model for Joint Inference from Differential Equations and Data (Sch…☆13Updated 2 years ago
- Latent Differential Equations models in Julia.☆38Updated 3 years ago
- Material for a full course on applied nonlinear dynamics, nonlinear timeseries analysis, and complex systems, in Julia☆65Updated last year
- Material for AMLD 2020 workshop "Bayesian Inference: embracing uncertainty"☆30Updated 3 years ago
- DifferentialEquations.jl with PyTorch☆11Updated 2 years ago
- Programming of Simulation, Analysis, and Learning Systems Course Materials☆37Updated last week
- Dynamic mode decomposition with dependent structure among observables (Graph DMD)☆14Updated 5 years ago
- A Julia package for generating timeseries surrogates☆55Updated 3 weeks ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- Code for a seminar talk at University of Leicester, UK☆26Updated 4 years ago
- Probabilistic Machine Learning course lab @UNITS☆18Updated 3 years ago
- Visualize neural networks using TikZ in Julia☆15Updated 7 months ago
- Materials used by previous Turing related workshop events☆16Updated last week
- Why multiple dispatch lets you write composable code☆40Updated 5 years ago
- Machine Learning with Time Series in Julia☆27Updated 4 years ago
- Couplings for Multinomial Hamiltonian Monte Carlo☆16Updated 6 months ago
- Inference for diffusion processes with the use of `Guided Proposals`☆16Updated 4 years ago
- DEPRECATED IN FAVOR OF TuringLang/Turing-Workshop☆35Updated 4 years ago
- Differential equation solvers with global error estimation☆11Updated last month
- A Julia package for manipulating data in the Riemannian manifold of positive definite matrices☆28Updated last month
- Deep Probabalistic Models: Materials for my course for the Australian Mathematical Sciences Institute (AMSI) Winter School 2021☆11Updated 3 years ago
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Updated 5 years ago
- ☆35Updated 4 years ago
- A Bayesian model for time-series count data with weekend effects and a lagged reporting process☆10Updated 3 years ago