yolu1055 / conditional-glowLinks
Conditional-Glow for Structured Prediction
☆27Updated 2 years ago
Alternatives and similar repositories for conditional-glow
Users that are interested in conditional-glow are comparing it to the libraries listed below
Sorting:
- PyTorch implementation of realNVP☆87Updated 10 months ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆60Updated 4 years ago
- Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model☆76Updated 2 years ago
- Code for the paper "Guided Image Generation with Conditional Invertible Neural Networks" (2019)☆99Updated 4 years ago
- Pytorch implementation of Generative Models as Distributions of Functions 🌿☆149Updated last year
- [ICML 2020] InfoGAN-CR and ModelCentrality: Self-supervised Model Training and Selection for Disentangling GANs☆41Updated 4 years ago
- Implementation of Glow in PyTorch☆81Updated 4 years ago
- Sliced Wasserstein Distance (SWD) in PyTorch☆113Updated 5 years ago
- An unofficial toy implementation for NVAE 《A Deep Hierarchical Variational Autoencoder》☆112Updated 4 years ago
- ☆51Updated 4 years ago
- Full-Glow: Fully conditional Glow for more realistic image generation☆29Updated 3 years ago
- Implementation of Real NVP in PyTorch☆233Updated 5 years ago
- ☆32Updated 5 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 6 years ago
- Unofficial Implementation of "Denoising Diffusion Probabilistic Models" in PyTorch(Lightning)☆91Updated 4 years ago
- PyTorch implementation of NICE☆33Updated 6 years ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆147Updated 5 years ago
- Code for the paper "Training Normalizing Flows with the Information Bottleneck for Competitive Generative Classification" (2020)☆43Updated last year
- The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…☆56Updated 2 years ago
- [ICCV 2021] A Pytorch implementation of "Manifold Matching via Deep Metric Learning for Generative Modeling"☆80Updated 2 years ago
- (CVPR 2020) Guided-VAE: Guided Variational Autoencoder for Disentanglement Learning☆26Updated 3 years ago
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆117Updated last year
- Code for reproducing Flow ++ experiments☆189Updated 6 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆271Updated last year
- PyTorch implementation of "Wasserstein-2 Generative Networks" (ICLR 2021)☆53Updated 2 years ago
- [CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Va…☆199Updated 3 years ago
- Code for "Flow-GAN: Combining Maximum Likelihood and Adversarial Learning in Generative Models", AAAI 2018.☆108Updated 7 years ago
- Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)☆36Updated 4 years ago
- The PyTorch implementation of the GLF☆22Updated 3 years ago
- Simple, extendable, easy to understand Glow implementation in PyTorch☆384Updated 3 years ago