prolearner / hypertorch
☆119Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for hypertorch
- ☆57Updated last year
- ☆153Updated 2 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆85Updated 4 years ago
- This repository is no longer maintained. Check☆82Updated 4 years ago
- ☆67Updated 5 years ago
- Mode Connectivity and Fast Geometric Ensembles in PyTorch☆265Updated 2 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆140Updated last year
- Repository for theory and methods for Out-of-Distribution (OoD) generalization☆63Updated 2 years ago
- Library to manage machine learning problems as `Tasks' and to sample from Task distributions. Includes Tensorflow implementation of impli…☆48Updated 2 years ago
- Reparameterize your PyTorch modules☆72Updated 3 years ago
- Efficient PyTorch Hessian eigendecomposition tools!☆364Updated 8 months ago
- Contains code for the NeurIPS 2020 paper by Pan et al., "Continual Deep Learning by FunctionalRegularisation of Memorable Past"☆44Updated 4 years ago
- Hypergradient descent☆138Updated 5 months ago
- NTK reading group☆86Updated 5 years ago
- A collection of Gradient-Based Meta-Learning Algorithms with pytorch☆61Updated 4 years ago
- Repo to accompany paper on Meta Learning with Implicit Gradients (NeurIPS 2019)☆53Updated 4 years ago
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆55Updated 4 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆142Updated last year
- Rethinking Bias-Variance Trade-off for Generalization of Neural Networks☆49Updated 3 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆135Updated 5 years ago
- Hessian spectral density estimation in TF and Jax☆115Updated 4 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆128Updated 5 years ago
- ☆86Updated 3 years ago
- Meta-Learning with Warped Gradient Descent☆92Updated 3 years ago
- Code for the paper: "Tensor Programs II: Neural Tangent Kernel for Any Architecture"☆97Updated 4 years ago
- 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
- Limitations of the Empirical Fisher Approximation☆45Updated 4 years ago
- ☆87Updated 2 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆53Updated 5 years ago