cooper-org / cooper
A general-purpose, deep learning-first library for constrained optimization in PyTorch
☆112Updated 2 weeks ago
Alternatives and similar repositories for cooper:
Users that are interested in cooper are comparing it to the libraries listed below
- Normalizing Flows using JAX☆82Updated last year
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆105Updated last month
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆97Updated 10 months ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆169Updated 3 years ago
- The Modified Differential Multiplier Method (MDMM) for PyTorch☆57Updated 3 years ago
- Convex potential flows☆83Updated 3 years ago
- Agustinus' very opiniated publication-ready plotting library☆61Updated last month
- Hessian spectral density estimation in TF and Jax☆121Updated 4 years ago
- Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)☆86Updated 2 years ago
- Riemannian Optimization Using JAX☆48Updated last year
- Lightweight library of stochastic gradient MCMC algorithms written in JAX.☆101Updated last year
- This repository contains code for applying Riemannian geometry in machine learning.☆78Updated 3 years ago
- Parameter-Free Optimizers for Pytorch☆120Updated 10 months ago
- Pre-trained Gaussian processes for Bayesian optimization☆90Updated 3 months ago
- ☆149Updated 2 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆73Updated 7 months ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆145Updated last year
- Manifold-learning flows (ℳ-flows)☆229Updated 4 years ago
- Discrete Normalizing Flows implemented in PyTorch☆109Updated 3 years ago
- Code for efficiently sampling functions from GP(flow) posteriors☆70Updated 4 years ago
- Laplace Redux -- Effortless Bayesian Deep Learning☆41Updated last year
- IVON optimizer for neural networks based on variational learning.☆59Updated 3 months ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 5 years ago
- Simple (and cheap!) neural network uncertainty estimation☆61Updated 2 weeks ago
- Stochastic Normalizing Flows☆76Updated 3 years ago
- Regularized Neural ODEs (RNODE)☆82Updated 3 years ago
- Bayesian algorithm execution (BAX)☆49Updated 3 years ago
- This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…☆306Updated 2 months ago
- Algorithms for computations on random manifolds made easier☆87Updated last year
- A community repository for benchmarking Bayesian methods☆109Updated 3 years ago