openopt / chopLinks
CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.
☆78Updated last year
Alternatives and similar repositories for chop
Users that are interested in chop are comparing it to the libraries listed below
Sorting:
- Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)☆42Updated 4 years ago
- ☆172Updated last year
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Updated 5 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆92Updated last year
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆15Updated 5 years ago
- ☆80Updated 4 years ago
- ☆100Updated 4 years ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆38Updated 4 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆109Updated 2 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆88Updated 2 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- A small library for creating and manipulating custom JAX Pytree classes☆56Updated 2 years ago
- Jax SSM Library☆48Updated 3 years ago
- ☆54Updated last year
- Code for the paper "Bayesian Neural Network Priors Revisited"☆60Updated 4 years ago
- Discontinuous Hamiltonian Monte Carlo in JAX☆42Updated 5 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆103Updated 2 years ago
- Generative Forests in Python☆35Updated 2 years ago
- Hessian spectral density estimation in TF and Jax☆124Updated 5 years ago
- A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.☆22Updated 6 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆148Updated 2 years ago
- Composable kernels for scikit-learn implemented in JAX.☆47Updated 5 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Normalizing Flows using JAX☆86Updated 2 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 6 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…☆129Updated 3 years ago
- ☆37Updated 3 years ago