neale / HyperGANLinks
Generative Model for Neural Networks
☆24Updated 5 years ago
Alternatives and similar repositories for HyperGAN
Users that are interested in HyperGAN are comparing it to the libraries listed below
Sorting:
- Code accompanying the ICML-2018 paper "Gradient-Based Meta-Learning with Learned Layerwise Metric and Subspace"☆38Updated 6 years ago
- PyTorch Implementation of Neural Statistician☆60Updated 3 years ago
- Public code for a paper "Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks."☆34Updated 6 years ago
- Overcoming Catastrophic Forgetting by Incremental Moment Matching (IMM)☆35Updated 7 years ago
- ☆91Updated 3 years ago
- Implementation of the variational continual learning method☆194Updated 6 years ago
- ☆31Updated 4 years ago
- Original PyTorch implementation of Uncertainty-guided Continual Learning with Bayesian Neural Networks, ICLR 2020☆75Updated 4 years ago
- Neat and flexible implementation of MAML in pytorch: https://arxiv.org/abs/1703.03400☆60Updated 4 years ago
- Geometric Certifications of Neural Nets☆42Updated 2 years ago
- ☆88Updated last year
- Official code for ICLR 2020 paper "A Neural Dirichlet Process Mixture Model for Task-Free Continual Learning."☆100Updated 5 years ago
- Code to reproduce experiments in "Meta-learning probabilistic inference for prediction"☆69Updated 4 years ago
- Implementation of Invariant Risk Minimization https://arxiv.org/abs/1907.02893☆90Updated 5 years ago
- This repository contains implementations of the paper, Bayesian Model-Agnostic Meta-Learning.☆60Updated 6 years ago
- Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"☆162Updated 5 years ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 7 years ago
- Improving MMD-GAN training with repulsive loss function☆89Updated 2 years ago
- Implementation of Bayesian Gradient Descent☆37Updated last year
- Meta-Learning with Warped Gradient Descent☆92Updated 4 years ago
- Coresets via Bilevel Optimization☆66Updated 4 years ago
- [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks☆81Updated 4 years ago
- Implementation of Methods Proposed in Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (NeurIPS 2019)☆35Updated 5 years ago
- Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017☆107Updated 7 years ago
- Implementation of the paper "Meta-Learning by Adjusting Priors Based on Extended PAC-Bayes Theory", Ron Amit and Ron Meir, ICML 2018☆22Updated 5 years ago
- Code for Unsupervised Learning via Meta-Learning.☆67Updated 4 years ago
- Implementation of the Sliced Wasserstein Autoencoder using PyTorch☆103Updated 6 years ago
- Code for Unsupervised Learning via Meta-Learning.☆122Updated 6 years ago
- Fork of the GEM project (https://github.com/facebookresearch/GradientEpisodicMemory) including Meta-Experience Replay (MER) methods from …☆148Updated 4 years ago
- PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models☆153Updated 5 years ago