ermongroup / mintnet
MintNet: Building Invertible Neural Networks with Masked Convolutions
☆39Updated 4 years ago
Alternatives and similar repositories for mintnet:
Users that are interested in mintnet are comparing it to the libraries listed below
- ☆42Updated 5 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- ☆28Updated 3 years ago
- ☆67Updated 2 years ago
- The official code for Efficient Learning of Generative Models via Finite-Difference Score Matching☆11Updated 2 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆72Updated 6 months ago
- Pytorch implementation of 'Semi-Implicit Methods for Deep Neural Networks'☆24Updated 5 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- Limitations of the Empirical Fisher Approximation☆47Updated 4 years ago
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆19Updated 4 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆59Updated 3 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆29Updated 4 years ago
- Monotone operator equilibrium networks☆51Updated 4 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 5 years ago
- ☆31Updated 4 years ago
- Relative gradient optimization of the Jacobian term in unsupervised deep learning, NeurIPS 2020☆21Updated 3 years ago
- Sliced Wasserstein Generator☆23Updated 6 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆54Updated 3 years ago
- A PyTorch implementation of Conditional PixelCNNs☆27Updated 7 years ago
- ☆32Updated 6 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆51Updated 6 months ago
- This repository is no longer maintained. Check☆81Updated 4 years ago
- Experiments for the Neural Autoregressive Flows paper☆123Updated 3 years ago
- Code for the paper "Banach Wasserstein GAN"☆31Updated 5 years ago
- Efficient Householder Transformation in PyTorch☆64Updated 3 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆32Updated last year
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.☆106Updated 7 years ago
- Convex potential flows☆82Updated 3 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago