ansuini / DSSC_DL_2021
Repository for the DL Course AA 2020-2021 @ DSSC UniTS
☆12Updated 3 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
- MFN0824 - Notebooks and other materials for the practical part of the Neural Networks course (Physics Dept. @ Unito)☆11Updated last year
- Probabilistic Machine Learning course lab @UNITS☆18Updated 2 years ago
- Curated repository for all the teaching materials (courses, seminars, etc.) provided by the lab and its members.☆8Updated 4 months ago
- Numerical Analysis -- Applied Mathematics☆27Updated 3 years ago
- ☆14Updated last year
- Public repo for the course Complexity in Social Systems☆9Updated last year
- Bayesian optimization of discrete sequences☆20Updated 2 years ago
- Deep learning lectures I am holding for the MSc on Data Science and Scientific Computing☆13Updated 2 years ago
- Repository for the Advanced Topics in Machine Learning practica (@ UniTS, Spring 2023)☆18Updated 2 months ago
- Official Implementation of "Opening the Blackbox: Accelerating Neural Differential Equations by Regularizing Internal Solver Heuristics" …☆26Updated 2 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆18Updated 3 years ago
- Some tutorials for tackling a Machine Learning Competition☆6Updated 3 years ago
- Library for Bayesian Quadrature☆31Updated 5 years ago
- Conditional density estimation with neural networks☆30Updated last month
- Code accompanying the NeurIPS 2021 Paper: A Probabilistic State Space Model for Joint Inference from Differential Equations and Data (Sch…☆13Updated 2 years ago
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆30Updated 3 years ago
- A simple Python package for deep learning using forward automatic differentiation based on JAX.☆14Updated 2 years ago
- Parallel random matrix tools and complexity for deep learning☆33Updated last year
- Visualize neural networks using TikZ in Julia☆12Updated 3 weeks ago
- SBI Workshop jointly by Helmholtz AI + ML ⇌ Science Colaboratory☆22Updated last year
- Fully Bayesian Inference in GPs - Gaussian and Generic Likelihoods☆22Updated last year
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆14Updated 4 years ago
- 🤓🔥 Collection of PyTorch additions, extensions, utilities, uses and abuses☆9Updated last week
- Course 5SSD0 - Bayesian Machine Learning and Information Processing☆41Updated 2 weeks ago
- Repository for DTU Special Course, focusing on Variational Inference using Normalizing Flows (VINF). Supervised by Michael Riis Andersen☆25Updated 4 years ago
- RKHS feature vectors, operators, and statistical models using JAX for automatic differentiation☆8Updated 3 years ago
- ☆15Updated 4 years ago
- My Research Journal covering various topics that interest me. They're mostly scattered notes and resources.☆32Updated 2 years ago
- an Open Collaborative project to explore the implications — theoretical or practical — of the PDE perspective of ConvNets☆22Updated last year
- PyTorch implementation for "Probabilistic Circuits for Variational Inference in Discrete Graphical Models", NeurIPS 2020☆16Updated 3 years ago