asperti / BalancingVAE
An implementation of Variational Autoencoders with a constant balance between reconstruction error and Kullback-leibler divergence
☆19Updated 4 years ago
Related projects ⓘ
Alternatives and complementary repositories for BalancingVAE
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆80Updated 9 months ago
- ☆67Updated 2 years ago
- ☆20Updated last year
- PyTorch implementation of Continuously Indexed Flows paper, with many baseline normalising flows☆30Updated 3 years ago
- ☆24Updated 3 years ago
- Implementation of Flow++ in PyTorch☆40Updated 5 years ago
- PyTorch implementation of the OT-Flow approach in arXiv:2006.00104☆49Updated 3 months ago
- Inspired by "Neural Networks Fail to Learn Periodic Functions and How to Fix It"☆58Updated 5 months ago
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 3 years ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆59Updated 3 years ago
- Code for Understanding and Mitigating Exploding Inverses in Invertible Neural Networks (AISTATS 2021) http://arxiv.org/abs/2006.09347☆29Updated 4 years ago
- Conditional Generative model (Normalizing Flow) and experimenting style transfer using this model☆69Updated last year
- A σ-VAE implementation in PyTorch☆94Updated 3 years ago
- BIVA: A Very Deep Hierarchy of Latent Variables forGenerative Modeling☆29Updated 5 years ago
- Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning☆28Updated 3 years ago
- Convex potential flows☆78Updated 2 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆55Updated 3 years ago
- Official code for Long Expressive Memory (ICLR 2022, Spotlight)☆69Updated 2 years ago
- Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)☆82Updated last year
- Codes for paper <InteL-VAEs: Adding Inductive Biases to VariationalAuto-Encoders via Intermediary Latents>.☆18Updated 3 years ago
- Implementation of the BASIS algorithm for source separation with deep generative priors☆37Updated last year
- Code for paper "Closing the Dequantization Gap: PixelCNN as a Single-Layer Flow"☆18Updated 4 years ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆80Updated 4 years ago
- Multiplicative Normalizing Flows in PyTorch.☆24Updated last month
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆25Updated 3 years ago
- ☆29Updated 2 years ago
- Jax/Flax implementation of Variational-DiffWave.☆40Updated 2 years ago
- ☆33Updated last year
- Supplementary code for the paper "Meta-Solver for Neural Ordinary Differential Equations" https://arxiv.org/abs/2103.08561☆25Updated 3 years ago
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Updated last year