ehoogeboom / emergingLinks
☆42Updated 6 years ago
Alternatives and similar repositories for emerging
Users that are interested in emerging are comparing it to the libraries listed below
Sorting:
- simple implementation of "Improved Variational Inference with Inverse Autoregressive Flow" paper with pytorch☆52Updated 7 years ago
- Experiments for the Neural Autoregressive Flows paper☆124Updated 4 years ago
- Code for reproducing Flow ++ experiments☆189Updated 6 years ago
- Masked Convolutional Flow☆59Updated 5 years ago
- ☆68Updated 2 years ago
- MintNet: Building Invertible Neural Networks with Masked Convolutions☆39Updated 4 years ago
- ☆37Updated 6 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆31Updated 3 years ago
- ☆180Updated 6 years ago
- Reference implementation of divergence triangle https://arxiv.org/abs/1812.10907☆16Updated 2 years ago
- ☆26Updated 6 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- Optimization with orthogonal constraints and on general manifolds☆129Updated 5 years ago
- Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.☆108Updated 7 years ago
- Pytorch Implementation of OpenAI's GLOW☆94Updated 4 years ago
- Monotone operator equilibrium networks☆53Updated 5 years ago
- ☆123Updated 5 years ago
- TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".☆60Updated 6 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆271Updated last year
- A PyTorch implementation of Conditional PixelCNNs☆27Updated 7 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆60Updated 4 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆179Updated 3 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆75Updated 11 months ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 6 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆140Updated 4 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆168Updated 4 years ago
- Code for "Accelerating Natural Gradient with Higher-Order Invariance"☆30Updated 6 years ago
- Code for "A Spectral Approach to Gradient Estimation for Implicit Distributions" (ICML'18)☆33Updated 2 years ago
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆19Updated 5 years ago
- ☆63Updated last year