ssnl / PyTorch-Reparam-Module
Reparameterize your PyTorch modules
☆70Updated 4 years ago
Alternatives and similar repositories for PyTorch-Reparam-Module:
Users that are interested in PyTorch-Reparam-Module are comparing it to the libraries listed below
- This repository is no longer maintained. Check☆81Updated 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
- 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
- Estimating Gradients for Discrete Random Variables by Sampling without Replacement☆39Updated 4 years ago
- Repository containing Pytorch code for EKFAC and K-FAC perconditioners.☆140Updated last year
- Recurrent Back Propagation, Back Propagation Through Optimization, ICML 2018☆41Updated 6 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
- Code for "Training Deep Energy-Based Models with f-Divergence Minimization" ICML 2020☆36Updated last year
- ☆34Updated 3 years ago
- ☆120Updated 7 months ago
- Gradient Starvation: A Learning Proclivity in Neural Networks☆61Updated 4 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 5 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- implements optimal transport algorithms in pytorch☆92Updated 2 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆85Updated 4 years ago
- Meta-Learning with Warped Gradient Descent☆93Updated 3 years ago
- A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…☆43Updated 4 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated last year
- Code from the article: "The Role of Disentanglement in Generalisation" (ICLR, 2021).☆22Updated 2 years ago
- PyTorch-SSO: Scalable Second-Order methods in PyTorch☆142Updated last year
- Hypergradient descent☆143Updated 7 months ago
- [ICLR 2020] FSPool: Learning Set Representations with Featurewise Sort Pooling☆42Updated last year
- PyTorch Implementations of Dropout Variants☆87Updated 7 years ago
- Structured matrices for compressing neural networks☆67Updated last year
- Limitations of the Empirical Fisher Approximation☆46Updated 4 years ago
- Low-variance and unbiased gradient for backpropagation through categorical random variables, with application in variational auto-encoder…☆17Updated 4 years ago
- Winning Solution of the NeurIPS 2020 Competition on Predicting Generalization in Deep Learning☆38Updated 3 years ago
- Official Pytorch's implementation of RotoGrad☆72Updated last year