dwromero / wavelet_networks
Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs/2006.05259
☆82Updated last year
Alternatives and similar repositories for wavelet_networks:
Users that are interested in wavelet_networks are comparing it to the libraries listed below
- Official code for Long Expressive Memory (ICLR 2022, Spotlight)☆69Updated 3 years ago
- ☆23Updated 4 years ago
- An implementation of soft-DTW divergences.☆134Updated 3 years ago
- Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…☆121Updated 2 years ago
- An implementation of Variational Autoencoders with a constant balance between reconstruction error and Kullback-leibler divergence☆19Updated 4 years ago
- Inspired by "Neural Networks Fail to Learn Periodic Functions and How to Fix It"☆66Updated 11 months ago
- ☆31Updated 3 years ago
- ☆68Updated 2 years ago
- Implementation of Flow++ in PyTorch☆41Updated 5 years ago
- Jax/Flax implementation of Variational-DiffWave.☆40Updated 3 years ago
- Relative Positional Encoding for Transformers with Linear Complexity☆63Updated 3 years ago
- Official implementation of the Seq-U-Net for efficient sequence modelling☆79Updated 9 months ago
- Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"☆80Updated 5 years ago
- Implementation of the BASIS algorithm for source separation with deep generative priors☆38Updated 2 years ago
- Pytorch version of "Deep Convolutional Networks as shallow Gaussian Processes" by Adrià Garriga-Alonso, Carl Rasmussen and Laurence Aitch…☆32Updated 5 years ago
- ☆22Updated 6 years ago
- ☆20Updated 2 years ago
- Code to accompany the paper "Hierarchical Quantized Autoencoders"☆37Updated last year
- Exemplar VAE: Linking Generative Models, Nearest Neighbor Retrieval, and Data Augmentation☆69Updated 4 years ago
- End-to-End Probabilistic Inference for Nonstationary Audio Analysis☆12Updated 5 years ago
- Lipschitz Recurrent Neural Networks☆28Updated 3 years ago
- Code for the paper Semi-Conditional Normalizing Flows for Semi-Supervised Learning☆28Updated 3 years ago
- Accompanying code for our paper "Optimizing Short-Time Fourier Transform Parameters via Gradient Descent"☆33Updated 4 years ago
- DTWNet: a Dynamic Time Warping Network☆67Updated 5 years ago
- ☆29Updated 3 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆28Updated 7 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆43Updated 3 years ago
- 1D version of Pytorch's PixelShuffle module☆24Updated 5 years ago
- Probabilistic Auto-Encoder☆42Updated 2 years ago
- Layerwise Batch Entropy Regularization☆22Updated 2 years ago