Alternatives and similar repositories for soft-dtw-divergences

Users that are interested in soft-dtw-divergences are comparing it to the libraries listed below

• dwromero / wavelet_networks
  Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…
  ☆83Updated last year
• Sleepwalking / pytorch-softdtw
  An implementation of SoftDTW for PyTorch.
  ☆228Updated 5 years ago
• TideDancer / neurips19_DTWNet
  DTWNet: a Dynamic Time Warping Network
  ☆68Updated 5 years ago
• lyprince / sdtw_pytorch
  Implementation of soft dynamic time warping in pytorch
  ☆99Updated 4 years ago
• EdwardDixon / snake
  Inspired by "Neural Networks Fail to Learn Periodic Functions and How to Fix It"
  ☆67Updated 3 months ago
• ctralie / linmdtw
  A linear memory, parallelizable algorithm for Dynamic Time Warping (DTW). Also contains cython implementations of FastDTW, and Memory-Re…
  ☆63Updated last year
• keonlee9420 / Soft-DTW-Loss
  PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA
  ☆147Updated 4 years ago
• tk-rusch / LEM
  Official code for Long Expressive Memory (ICLR 2022, Spotlight)
  ☆71Updated 3 years ago
• f90 / Seq-U-Net
  Official implementation of the Seq-U-Net for efficient sequence modelling
  ☆79Updated last year
• lorenlugosch / pytorch_HMM
  HMMs in PyTorch
  ☆140Updated 4 years ago
• philsyn / DiffWave-Vocoder
  Pytorch Reimplementation of DiffWave Vocoder: a high quality, fast, and small neural vocoder.
  ☆90Updated 4 years ago
• toinsson / pysdtw
  Torch implementation of Soft-DTW, supports CUDA.
  ☆45Updated 2 years ago
• XiaoyuBIE1994 / DVAE
  (FTML 2021) Official implementation of Dynamical VAEs
  ☆232Updated 2 years ago
• SarthakYadav / audax
  A home for audio ML in JAX. Has common features, learnable frontends, pretrained supervised and self-supervised models.
  ☆69Updated 3 years ago
• audeering / audtorch
  Utils and data sets for audio and PyTorch
  ☆86Updated 3 years ago
• zzw922cn / TF2_soft_dtw
  Custom TensorFlow2 implementations of forward and backward computation of soft-DTW algorithm in batch mode.
  ☆21Updated 4 years ago
• ctlllll / SGConv
  ☆164Updated 2 years ago
• yukara-ikemiya / minimal-sqvae
  A minimal Pytorch Implementation of Stochastically Quantized Variational AutoEncoder (SQ-VAE) by Sony
  ☆33Updated 2 years ago
• huckiyang / Voice2Series-Reprogramming
  ICML 21 - Voice2Series: Adversarial Reprogramming Acoustic Models for Time Series Classification
  ☆73Updated last year
• aliutkus / spe
  Relative Positional Encoding for Transformers with Linear Complexity
  ☆65Updated 3 years ago
• pclucas14 / iaf-vae
  Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
  ☆83Updated 5 years ago
• dwromero / ckconv
  Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…
  ☆123Updated 2 years ago
• liu-ziyin / NeurIPS_2020_Snake
  ☆31Updated 4 years ago
• fmu2 / flow-VAE
  Variational Autoencoder (VAE) with Normalizing Flows
  ☆66Updated last year
• AaltoML / nonstationary-audio-gp
  End-to-End Probabilistic Inference for Nonstationary Audio Analysis
  ☆12Updated 6 years ago
• limbo018 / FRU
  ☆40Updated 7 years ago
• statefb / dtwalign
  Comprehensive dynamic time warping module for python
  ☆109Updated 2 years ago
• asperti / BalancingVAE
  An implementation of Variational Autoencoders with a constant balance between reconstruction error and Kullback-leibler divergence
  ☆20Updated 2 months ago
• revsic / jax-variational-diffwave
  Jax/Flax implementation of Variational-DiffWave.
  ☆40Updated 3 years ago
• tatsy / normalizing-flows-pytorch
  PyTorch implementations of normalizing flow and its variants.
  ☆78Updated 4 years ago