Alternatives and similar repositories for pytorch-tcn

Users that are interested in pytorch-tcn are comparing it to the libraries listed below

• styalai / xLSTM-pytorch
  A easy to use implementation of xLSTM
  ☆52Updated 10 months ago
• akaashdash / xlstm
  ☆51Updated last year
• keonlee9420 / Soft-DTW-Loss
  PyTorch implementation of Soft-DTW: a Differentiable Loss Function for Time-Series in CUDA
  ☆144Updated 3 years ago
• Navidfoumani / ConvTran
  This is a PyTorch implementation of ConvTran
  ☆165Updated 4 months ago
• muditbhargava66 / PyxLSTM
  Efficient Python library for Extended LSTM with exponential gating, memory mixing, and matrix memory for superior sequence modeling.
  ☆293Updated last year
• myscience / x-lstm
  Pytorch implementation of the xLSTM model by Beck et al. (2024)
  ☆168Updated 11 months ago
• imics-lab / tts-gan
  TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network
  ☆272Updated last year
• AI4HealthUOL / SSSD
  Repository for the paper: 'Diffusion-based Time Series Imputation and Forecasting with Structured State Space Models'
  ☆313Updated last month
• XiaoyuBIE1994 / DVAE
  (FTML 2021) Official implementation of Dynamical VAEs
  ☆230Updated 2 years ago
• qingsongedu / Awesome-SSL4TS
  A professionally curated list of awesome resources (paper, code, data, etc.) on Self-Supervised Learning for Time Series (SSL4TS).
  ☆337Updated last year
• Maghoumi / pytorch-softdtw-cuda
  Fast CUDA implementation of (differentiable) soft dynamic time warping for PyTorch
  ☆693Updated last year
• Zeying-Gong / PatchMixer
  About Code release for "PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting"
  ☆210Updated last year
• ML4ITS / TimeVQVAE
  [official] PyTorch implementation of TimeVQVAE from the paper ["Vector Quantized Time Series Generation with a Bidirectional Prior Model"…
  ☆142Updated 5 months ago
• huckiyang / Voice2Series-Reprogramming
  ICML 21 - Voice2Series: Adversarial Reprogramming Acoustic Models for Time Series Classification
  ☆73Updated last year
• mims-harvard / TFC-pretraining
  Self-supervised contrastive learning for time series via time-frequency consistency
  ☆482Updated last year
• chendaichao / Hilbert-Huang-transform
  A demo of using Hilbert-Huang Transform (HHT) for non-stationary and non-linear signal analysis.
  ☆103Updated 4 years ago
• MichauGabriel / DeSpaWN
  Code of DeSpaWN ((https://doi.org/10.1073/pnas.2106598119)
  ☆47Updated 3 years ago
• PatchTST / PatchTST
  An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers."
  ☆84Updated 2 years ago
• vrcarva / vmdpy
  Variational mode decomposition (VMD) in Python
  ☆383Updated last year
• imics-lab / tts-cgan
  TTS-CGAN: A Transformer Time-Series Conditional GAN for Biosignal Data Augmentation
  ☆80Updated 2 years ago
• abudesai / timeVAE
  TimeVAE implementation in keras/tensorflow
  ☆155Updated 3 months ago
• YihongDong / FAN
  ☆243Updated 4 months ago
• uchidalab / time_series_augmentation
  An example of time series augmentation methods with Keras
  ☆347Updated 3 years ago
• aikunyi / FreTS
  Official implementation of the paper "Frequency-domain MLPs are More Effective Learners in Time Series Forecasting"
  ☆180Updated last year
• toinsson / pysdtw
  Torch implementation of Soft-DTW, supports CUDA.
  ☆42Updated 2 years ago
• smvorwerk / xlstm-cuda
  Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports
  ☆87Updated last year
• YHYHYHYHYHY / ATFNet
  Official implement of ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting
  ☆127Updated 8 months ago
• google-research / soft-dtw-divergences
  An implementation of soft-DTW divergences.
  ☆135Updated 3 years ago
• remigenet / TKAN
  TKAN: Temporal Kolmogorov-Arnold Networks
  ☆209Updated 7 months ago
• lucidrains / iTransformer
  Unofficial implementation of iTransformer - SOTA Time Series Forecasting using Attention networks, out of Tsinghua / Ant group
  ☆505Updated last month