druidowm / OccamNet_PublicLinks
☆19Updated 3 years ago
Alternatives and similar repositories for OccamNet_Public
Users that are interested in OccamNet_Public are comparing it to the libraries listed below
Sorting:
- Bayesian inference with Python and Jax.☆32Updated 2 years ago
- Bayesian model reduction for probabilistic machine learning☆11Updated 2 months ago
- ☆15Updated 2 years ago
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆19Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆72Updated 4 years ago
- ☆34Updated 3 years ago
- Offline Contextual Bayesian Optimization☆14Updated last year
- Deep Adaptive Design: Amortizing Sequential Bayesian Experimental Design☆34Updated 4 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆40Updated 4 years ago
- ☆20Updated 2 years ago
- Nonparametric Differential Equation Modeling☆53Updated last year
- Support material for MAT6115, Université de Montréal, Fall 2018☆27Updated last year
- Riemannian Optimization Using JAX☆49Updated last year
- ☆80Updated 3 years ago
- ☆52Updated 2 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- Symplectic Recurrent Neural Networks☆28Updated 2 years ago
- Differentiable Principal Component Analysis (PCA) implementation in JAX☆28Updated 2 months ago
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆14Updated 4 years ago
- Implementation of GPLVM and Bayesian GPLVM in pytorch/gpytorch☆15Updated 4 years ago
- ☆27Updated last year
- Bayesian Neural Network Surrogates for Bayesian Optimization☆51Updated last year
- A collection of graph neural networks implementations in JAX☆33Updated last year
- Minimal Gaussian process library in JAX with a simple (custom) approach to state management.☆12Updated last year
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆49Updated 2 months ago
- ☆30Updated 9 months ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- [DMLR] Rethinking Symbolic Regression Datasets and Benchmarks for Scientific Discovery☆33Updated last year
- Bayesian Optimization over Discrete and Mixed Spaces via Probabilistic Reparameterization☆73Updated 2 years ago