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
- ☆80Updated 4 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆49Updated 5 years ago
- Hessian spectral density estimation in TF and Jax☆124Updated 5 years ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆90Updated last year
- ☆100Updated 3 years ago
- Codebase for Learning Invariances in Neural Networks☆96Updated 3 years ago
- Riemannian Convex Potential Maps☆67Updated 2 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆58Updated 4 years ago
- [NeurIPS'19] Deep Equilibrium Models Jax Implementation☆42Updated 5 years ago
- Code Repo for "Subspace Inference for Bayesian Deep Learning"☆83Updated last year
- Automated Scalable Bayesian Inference☆131Updated 3 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆148Updated 2 years ago
- Tensorflow implementation and notebooks for Implicit Maximum Likelihood Estimation☆67Updated 3 years ago
- Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)☆20Updated 6 years ago
- simple JAX-/NumPy-based implementations of NGD with exact/approximate Fisher Information Matrix both in parameter-space and function-spac…☆15Updated 5 years ago
- DeepOBS: A Deep Learning Optimizer Benchmark Suite☆109Updated last year
- A small library for creating and manipulating custom JAX Pytree classes☆56Updated 2 years ago
- Neural network verification in JAX☆145Updated 2 years ago
- Supporting code for the paper "Dangers of Bayesian Model Averaging under Covariate Shift"☆33Updated 3 years ago
- Code for Unbiased Implicit Variational Inference (UIVI)☆15Updated 6 years ago
- Code repo for "Function-Space Distributions over Kernels"☆32Updated 4 years ago
- Official codebase for "Distribution-Free, Risk-Controlling Prediction Sets"☆87Updated last year
- Implicit Deep Adaptive Design (iDAD): Policy-Based Experimental Design without Likelihoods☆21Updated 3 years ago
- Bayesian Deep Learning with Stochastic Gradient MCMC Methods☆38Updated 4 years ago
- Generative Forests in Python☆35Updated 2 years ago
- Jax SSM Library☆48Updated 3 years ago
- Limitations of the Empirical Fisher Approximation☆49Updated 9 months ago
- Monotone operator equilibrium networks☆54Updated 5 years ago