jthickstun / basis-separationLinks
Implementation of the BASIS algorithm for source separation with deep generative priors
☆39Updated 2 years ago
Alternatives and similar repositories for basis-separation
Users that are interested in basis-separation are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of "A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences", Pranay Manocha et al. - un…☆61Updated 5 years ago
- Accompanying code for our paper "Optimizing Short-Time Fourier Transform Parameters via Gradient Descent"☆33Updated 4 years ago
- Code to accompany the paper "Hierarchical Quantized Autoencoders"☆37Updated last year
- 1D version of Pytorch's PixelShuffle module☆24Updated 5 years ago
- This repo contains code for comparing audio representation sin the task of audio synthesis wth Generative Adversarial Networks (GAN)☆37Updated 2 years ago
- Jax/Flax implementation of Variational-DiffWave.☆40Updated 3 years ago
- Codes for paper <InteL-VAEs: Adding Inductive Biases to VariationalAuto-Encoders via Intermediary Latents>.☆19Updated 4 years ago
- Implementation of Flow++ in PyTorch☆40Updated 5 years ago
- Latte: Cross-framework Python Package for Evaluation of Latent-based Generative Models☆36Updated 2 years ago
- ☆16Updated 3 years ago
- Representation learning for NLP @ JSALT19☆38Updated 4 years ago
- a pytorch implementation of Google GEDLoss☆32Updated 4 years ago
- Official code for "VFlow: More Expressive Generative Flows with Variational Data Augmentation" (ICML 2020)☆40Updated 2 years ago
- An implementation of the Prism layer (https://arxiv.org/abs/2011.04823)☆12Updated 4 years ago
- spectrogram inversion tools in PyTorch. Documentation: https://spectrogram-inversion.readthedocs.io☆51Updated 2 weeks ago
- Wavelet Flow: Fast Training of High Resolution Normalizing Flows☆60Updated 4 years ago
- PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)☆66Updated 4 years ago
- ☆18Updated 4 years ago
- ☆29Updated 5 years ago
- ☆9Updated 5 years ago
- ☆21Updated 4 years ago
- Two different PyTorch implementation of Inverse-STFT for discussion at https://github.com/keunwoochoi/torchaudio-contrib/issues/27☆9Updated 5 years ago
- ☆31Updated 2 years ago
- Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"☆26Updated 2 years ago
- Source code for "Towards a Deeper Understanding of Adversarial Losses under a Discriminative Adversarial Network Setting"☆42Updated 2 years ago
- Applying reinforcement learning to perform source separation.☆23Updated 4 years ago
- Learning Complex Basis Functions for Invariant Signal Representations with the Complex Autoencoder☆38Updated 6 months ago
- Unsupervised Representation Learning for Singing Voice Separation☆22Updated 2 years ago
- Official PyTorch implementation for "Towards Lightweight Controllable Audio Synthesis with Conditional Implicit Neural Representations".☆21Updated 3 years ago
- Deep Learning Model for Signal Data☆87Updated 5 years ago