Alternatives and similar repositories for basis-separation:

Users that are interested in basis-separation are comparing it to the libraries listed below

• adrienchaton / PerceptualAudio_Pytorch
  Pytorch implementation of "A Differentiable Perceptual Audio Metric Learned from Just Noticeable Differences", Pranay Manocha et al. - un…
  ☆61Updated 5 years ago
• SonyCSLParis / Comparing-Representations-for-Audio-Synthesis-using-GANs
  This repo contains code for comparing audio representation sin the task of audio synthesis wth Generative Adversarial Networks (GAN)
  ☆37Updated 2 years ago
• SubramaniKrishna / STFTgrad
  Accompanying code for our paper "Optimizing Short-Time Fourier Transform Parameters via Gradient Descent"
  ☆33Updated 4 years ago
• revsic / jax-variational-diffwave
  Jax/Flax implementation of Variational-DiffWave.
  ☆40Updated 3 years ago
• speechmatics / hqa
  Code to accompany the paper "Hierarchical Quantized Autoencoders"
  ☆37Updated last year
• distsup / DistSup
  Representation learning for NLP @ JSALT19
  ☆38Updated 4 years ago
• vivsivaraman / sourcesepganprior
  ☆18Updated 3 years ago
• NingMiao / InteL-VAEs
  Codes for paper <InteL-VAEs: Adding Inductive Biases to VariationalAuto-Encoders via Intermediary Latents>.
  ☆19Updated 3 years ago
• serkansulun / pytorch-pixelshuffle1d
  1D version of Pytorch's PixelShuffle module
  ☆24Updated 5 years ago
• Newbeeer / Anytime-Auto-Regressive-Model
  Code for ICLR 2021 Paper, "Anytime Sampling for Autoregressive Models via Ordered Autoencoding"
  ☆26Updated last year
• seungwonpark / istft-pytorch
  Two different PyTorch implementation of Inverse-STFT for discussion at https://github.com/keunwoochoi/torchaudio-contrib/issues/27
  ☆9Updated 4 years ago
• kwatcharasupat / latte
  Latte: Cross-framework Python Package for Evaluation of Latent-based Generative Models
  ☆36Updated 2 years ago
• vivjay30 / pnf-sampling
  ☆21Updated 3 years ago
• ViEm-ccy / GEDLoss_pytorch
  a pytorch implementation of Google GEDLoss
  ☆32Updated 4 years ago
• nperraud / gan_audio_inpainting
  ☆29Updated 5 years ago
• janzuiderveld / continuous-audio-representations
  Official PyTorch implementation for "Towards Lightweight Controllable Audio Synthesis with Conditional Implicit Neural Representations".
  ☆21Updated 3 years ago
• ritheshkumar95 / minimal_diffusion_models
  ☆16Updated 3 years ago
• yoyolicoris / music-demixing-challenge-ismir-2021-entry
  The training code for the 4th place model at MDX 2021 leaderboard A.
  ☆35Updated 3 years ago
• gudgud96 / piano-synthesis
  Code accompanying ML4MD ICML 2020 paper - "Generative Modelling for Controllable Audio Synthesis of Expressive Piano Performance".
  ☆30Updated 4 years ago
• SonyCSLParis / cae-invar
  Learning Complex Basis Functions for Invariant Signal Representations with the Complex Autoencoder
  ☆36Updated 4 months ago
• yoyolicoris / spectrogram-inversion
  spectrogram inversion tools in PyTorch. Documentation: https://spectrogram-inversion.readthedocs.io
  ☆49Updated last year
• keunwoochoi / frequency-aware-conv2d-layer-pytorch
  ☆9Updated 5 years ago
• JuanFMontesinos / Solos
  Solos: A Dataset for Audio-Visual Music Analysis
  ☆24Updated 2 years ago
• muqiaoy / dl_signal
  Deep Learning Model for Signal Data
  ☆87Updated 5 years ago
• Barbany / Multi-speaker-Neural-Vocoder
  Bachelor's thesis carried at Universitat Politecnica de Catalunya in partial fullfilment of the requirements for the degree in Telecommun…
  ☆16Updated 9 months ago
• pseeth / otoworld
  Applying reinforcement learning to perform source separation.
  ☆21Updated 4 years ago
• ycemsubakan / sourceseparation_misc
  ☆47Updated 6 years ago
• ws-choi / LASAFT-Net-v2
  A PyTorch implementation: "LASAFT-Net-v2: Listen, Attend and Separate by Attentively aggregating Frequency Transformation"
  ☆33Updated 3 years ago
• L0SG / NanoFlow
  PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)
  ☆65Updated 4 years ago
• unixpickle / torch-bandpass
  An implementation of the Prism layer (https://arxiv.org/abs/2011.04823)
  ☆12Updated 4 years ago