GauthierGidel / Variational-Inequality-GANLinks
This is the code associated with the paper A Variational Inequality Perspective for Generative Adversarial Networks.
☆41Updated 6 years ago
Alternatives and similar repositories for Variational-Inequality-GAN
Users that are interested in Variational-Inequality-GAN are comparing it to the libraries listed below
Sorting:
- Source code for "Taming GANs with Lookahead–Minmax", ICLR 2021.☆15Updated 4 years ago
- Lipschitz Neural Networks described in "Sorting Out Lipschitz Function Approximation" (ICML 2019).☆56Updated 5 years ago
- ☆67Updated 6 years ago
- Minimax Optimization, Stackelberg Games, Generative Adversarial Networks☆19Updated 5 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆12Updated 2 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆147Updated 5 years ago
- Implementation of SVRG and SAGA optimization algorithms for deep learning topics.☆72Updated 4 years ago
- ☆123Updated last year
- This repository contains the Julia code for the paper "Competitive Gradient Descent"☆25Updated 5 years ago
- Pytorch implementation of KFAC and E-KFAC (Natural Gradient).☆132Updated 6 years ago
- Adaptive gradient descent without descent☆48Updated 3 years ago
- Convolutional Neural Tangent Kernel☆111Updated 5 years ago
- NTK reading group☆87Updated 5 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 6 years ago
- ☆59Updated 2 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- Pytorch version of NIPS'16 "Learning to learn by gradient descent by gradient descent"☆67Updated 2 years ago
- Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)☆45Updated 7 years ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆176Updated 5 years ago
- ☆36Updated 3 years ago
- ☆54Updated 11 months ago
- [NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks☆81Updated 4 years ago
- Collection of algorithms for approximating Fisher Information Matrix for Natural Gradient (and second order method in general)☆140Updated 6 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 4 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
- PyTorch implementation of realNVP☆88Updated 10 months ago
- Hypergradient descent☆149Updated last year
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆55Updated 11 months ago
- Discrete Normalizing Flows implemented in PyTorch☆114Updated 3 years ago