facebookresearch / amortized-optimization-tutorialLinks
Tutorial on amortized optimization for learning to optimize over continuous domains
☆243Updated 5 months ago
Alternatives and similar repositories for amortized-optimization-tutorial
Users that are interested in amortized-optimization-tutorial are comparing it to the libraries listed below
Sorting:
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022☆44Updated 3 years ago
- Euclidean Wasserstein-2 optimal transportation☆47Updated last year
- ☆103Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆87Updated 2 years ago
- ☆144Updated 2 months ago
- Second-Order Neural ODE Optimizer, NeurIPS 2021 spotlight☆52Updated 3 years ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆136Updated last month
- [ICLR 2022] Path integral sampler☆50Updated last year
- Code for "Continuous-Time Meta-Learning with Forward Mode Differentiation" (ICLR 2022)☆25Updated 3 years ago
- The Differentiable Cross-Entropy Method☆123Updated 4 years ago
- Convex potential flows☆83Updated 3 years ago
- This repository contains code for applying Riemannian geometry in machine learning.☆77Updated 4 years ago
- ☆169Updated last year
- ☆214Updated 3 years ago
- Meta Optimal Transport☆103Updated 2 years ago
- [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)☆119Updated 2 years ago
- ☆35Updated 3 years ago
- Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).☆112Updated 3 years ago
- ☆42Updated 2 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- Gaussian-Bernoulli Restricted Boltzmann Machines☆104Updated 2 years ago
- ICML 2022: Learning Iterative Reasoning through Energy Minimization☆46Updated 2 years ago
- The Wasserstein Distance and Optimal Transport Map of Gaussian Processes☆53Updated 5 years ago
- This repository contains code released by DiffEqML Research☆90Updated 3 years ago
- ☆192Updated last month
- PyTorch implementation of Stein Variational Gradient Descent☆45Updated 2 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆40Updated 4 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆107Updated last year