BorealisAI / rate_distortionLinks
Evaluating Lossy Compression Rates of Deep Generative Models
☆14Updated 4 years ago
Alternatives and similar repositories for rate_distortion
Users that are interested in rate_distortion are comparing it to the libraries listed below
Sorting:
- Code release for Hoogeboom, Emiel, Jorn WT Peters, Rianne van den Berg, and Max Welling. "Integer Discrete Flows and Lossless Compression…☆98Updated 5 years ago
- Perceptual quality metrics for TensorFlow☆43Updated 2 years ago
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆19Updated 5 years ago
- Official code for ICML 2020 paper "Variational Bayesian Quantization"☆23Updated 2 years ago
- Compression tools for machine learning researchers☆85Updated 2 years ago
- ☆42Updated 6 years ago
- Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".☆117Updated 2 years ago
- A TensorFlow implementation of perceptual generative autoencoder (PGA).☆23Updated 4 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆60Updated 4 years ago
- Deep generative models for distribution-preserving lossy compression☆33Updated 6 years ago
- VQ-VAE implementation pytorch☆12Updated 2 years ago
- ☆17Updated 5 years ago
- PyTorch Implementation: "Optimizing the Latent Space of Generative Networks"☆22Updated 6 years ago
- Pytorch implementations of autoregressive pixel models - PixelCNN, PixelCNN++, PixelSNAIL☆35Updated 5 years ago
- VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.☆79Updated 4 years ago
- Compression with Flows via Local Bits-Back Coding☆39Updated 5 years ago
- Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"☆78Updated 5 years ago
- ☆9Updated 5 years ago
- ☆104Updated 2 years ago
- ☆150Updated 2 years ago
- ☆32Updated 6 years ago
- Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge☆62Updated 2 years ago
- In this paper, we show that the performance of a learnt generative model is closely related to the model's ability to accurately represen…☆41Updated 4 years ago
- Code for the paper "Banach Wasserstein GAN"☆31Updated 6 years ago
- ☆21Updated 5 years ago
- Scaled MMD GAN☆36Updated 5 years ago
- ☆36Updated 4 years ago
- ☆28Updated 3 years ago
- [ICML'21 Oral] Improving Lossless Compression Rates via Monte Carlo Bits-Back Coding☆14Updated 4 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 6 years ago