openai / distribution_augmentationLinks
Code for the paper, "Distribution Augmentation for Generative Modeling", ICML 2020.
☆126Updated 2 years ago
Alternatives and similar repositories for distribution_augmentation
Users that are interested in distribution_augmentation are comparing it to the libraries listed below
Sorting:
- code to reproduce the empirical results in the research paper☆36Updated 3 years ago
- Learned Hyperparameter Optimizers☆59Updated 4 years ago
- Code for paper "Adversarial score matching and improved sampling for image generation"☆123Updated 2 years ago
- Code for UAI 2020 paper "Locally Masked Convolution for Autoregressive Models"☆78Updated 5 years ago
- Code for reproducing Flow ++ experiments☆189Updated 6 years ago
- 🧀 Pytorch code for the Fromage optimiser.☆128Updated last year
- Code for: Implicit Competitive Regularization in GANs☆116Updated 3 years ago
- Official codebase for Pretrained Transformers as Universal Computation Engines.☆247Updated 3 years ago
- PyTorch Implementation of OpenAI's Image GPT☆258Updated last year
- Repository for the paper "Very Deep VAEs Generalize Autoregressive Models and Can Outperform Them on Images"☆446Updated 2 years ago
- Hybrid Discriminative-Generative Training via Contrastive Learning☆75Updated 2 years ago
- Masked Convolutional Flow☆60Updated 5 years ago
- ☆67Updated 4 years ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- Prescribed Generative Adversarial Networks☆143Updated 5 years ago
- An attempt at the implementation of Glom, Geoffrey Hinton's new idea that integrates concepts from neural fields, top-down-bottom-up proc…☆193Updated 4 years ago
- ☆22Updated 5 years ago
- Reparameterize your PyTorch modules☆71Updated 4 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆66Updated 6 years ago
- This repository is no longer maintained. Check☆81Updated 5 years ago
- Memory efficient MAML using gradient checkpointing☆86Updated 5 years ago
- ☆32Updated 4 years ago
- Pytorch Implementation of OpenAI's GLOW☆94Updated 4 years ago
- Code for Implicit Generation and Generalization with Energy Based Models☆357Updated 2 years ago
- Code for Self-Tuning Networks (ICLR 2019) https://arxiv.org/abs/1903.03088☆54Updated 6 years ago
- Implementation of the reversible residual network in pytorch☆105Updated 3 years ago
- Benchmark for Lifelong learning research☆118Updated 4 years ago
- Official code repository of the paper Linear Transformers Are Secretly Fast Weight Programmers.☆105Updated 4 years ago
- Repository for the "Gotta Go Fast When Generating Data with Score-Based Models" paper☆105Updated 3 years ago
- Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"☆26Updated 2 years ago