prolearner / hypertorch
☆120Updated 7 months ago
Alternatives and similar repositories for hypertorch:
Users that are interested in hypertorch are comparing it to the libraries listed below
- ☆156Updated 2 years ago
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 3 years ago
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 2 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆140Updated last year
- Hypergradient descent☆143Updated 7 months ago
- ☆57Updated last year
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆267Updated 2 years ago
- Reparameterize your PyTorch modules☆70Updated 4 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆85Updated 4 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆130Updated 5 years ago
- Meta-Learning with Warped Gradient Descent☆93Updated 3 years ago
- Efficient PyTorch Hessian eigendecomposition tools!☆370Updated 10 months ago
- This repository is no longer maintained. Check☆81Updated 4 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆63Updated 5 years ago
- Code to implement the AND-mask and geometric mean to do gradient based optimization, from the paper "Learning explanations that are hard …☆39Updated 4 years ago
- ☆67Updated 5 years ago
- Convolutional Neural Tangent Kernel☆108Updated 5 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆142Updated last year
- Testing Nerual Tangent Kernel (NTK) on small UCI datasets☆83Updated 5 years ago
- Hessian spectral density estimation in TF and Jax☆120Updated 4 years ago
- A pytorch implementation of our jacobian regularizer to encourage learning representations more robust to input perturbations.☆123Updated last year
- The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) p…☆40Updated 4 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆136Updated 5 years ago
- Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…☆48Updated 3 years ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch☆210Updated 3 months ago
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆54Updated 4 years ago
- Memory efficient MAML using gradient checkpointing☆83Updated 5 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago