TrentBrick / PyTorchDiscreteFlows
Discrete Normalizing Flows implemented in PyTorch
☆107Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for PyTorchDiscreteFlows
- Experiments for the Neural Autoregressive Flows paper☆123Updated 3 years ago
- Code for Neural Spline Flows paper☆259Updated 4 years ago
- Official repository for "Categorical Normalizing Flows via Continuous Transformations"☆56Updated 3 years ago
- ☆178Updated 5 years ago
- Real NVP PyTorch a Minimal Working Example | Normalizing Flow☆137Updated 4 years ago
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆284Updated 3 years ago
- Pytorch implementation of Block Neural Autoregressive Flow☆176Updated 3 years ago
- Masked Autoregressive Flow☆204Updated 3 months ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆272Updated 11 months ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆160Updated 4 years ago
- code for "Residual Flows for Invertible Generative Modeling".☆263Updated last year
- ☆67Updated 2 years ago
- Regularized Neural ODEs (RNODE)☆82Updated 3 years ago
- ☆86Updated 3 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆80Updated 4 years ago
- Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.☆69Updated 3 months ago
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago
- ☆146Updated 2 years ago
- A Pytorch Implementation of Attentive Neural Process☆73Updated 5 years ago
- Neural likelihood-free methods in PyTorch.☆39Updated 4 years ago
- ☆37Updated 5 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆82Updated last year
- Implementation of Glow in PyTorch☆79Updated 3 years ago
- Implicit Generation and Generalization in Energy Based Models in PyTorch☆65Updated 5 years ago
- A PyTorch re-implementation of "Doubly Reparameterized Gradient Estimators for Monte Carlo Objectives"☆18Updated 5 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆49Updated 3 months ago
- Code for reproducing results in the sliced score matching paper (UAI 2019)☆140Updated 4 years ago
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆30Updated 3 years ago
- Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning☆28Updated 3 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆144Updated 2 months ago