Alternatives and similar repositories for Recurrent-Neural-Networks-from-scratch-using-PyTorch

Users that are interested in Recurrent-Neural-Networks-from-scratch-using-PyTorch are comparing it to the libraries listed below

• sooftware / attentions
  PyTorch implementation of some attentions for Deep Learning Researchers.
  ☆546Updated 3 years ago
• emadRad / lstm-gru-pytorch
  LSTM and GRU in PyTorch
  ☆264Updated 6 years ago
• piEsposito / pytorch-lstm-by-hand
  A small and simple tutorial on how to craft a LSTM nn.Module by hand on PyTorch.
  ☆126Updated 5 years ago
• lkulowski / LSTM_encoder_decoder
  Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data
  ☆431Updated 4 years ago
• AmanPriyanshu / Deep-Belief-Networks-in-PyTorch
  The aim of this repository is to create RBMs, EBMs and DBNs in generalized manner, so as to allow modification and variation in model typ…
  ☆65Updated last year
• imics-lab / tts-gan
  TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network
  ☆275Updated last year
• KasperGroesLudvigsen / influenza_transformer
  PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"
  ☆258Updated 2 years ago
• Jackson-Kang / Pytorch-VAE-tutorial
  A simple tutorial of Variational AutoEncoders with Pytorch
  ☆413Updated last year
• paul-krug / pytorch-tcn
  (Realtime) Temporal Convolutions in PyTorch
  ☆164Updated 6 months ago
• nok-halfspace / Transformer-Time-Series-Forecasting
  ☆394Updated 4 years ago
• LiamMaclean216 / Pytorch-Transfomer
  My implementation of the transformer architecture from the Attention is All you need paper applied to time series.
  ☆321Updated 4 years ago
• KalmanNet / KalmanNet_TSP
  code for KalmanNet
  ☆362Updated last year
• spdin / time-series-prediction-lstm-pytorch
  Time Series Prediction with LSTM Using PyTorch
  ☆211Updated 6 years ago
• db434 / EWC
  TensorFlow v2 + Keras implementation of Elastic Weight Consolidation
  ☆27Updated 4 years ago
• BrianPulfer / PapersReimplementations
  Personal short implementations of Machine Learning papers
  ☆249Updated last year
• chrisvdweth / ml-toolkit
  ☆64Updated 5 years ago
• ctxj / Time-Series-Transformer-Pytorch
  ☆70Updated 4 years ago
• JulesBelveze / time-series-autoencoder
  PyTorch Dual-Attention LSTM-Autoencoder For Multivariate Time Series
  ☆694Updated 7 months ago
• LucasBoTang / GradNorm
  PyTorch implementation of the GradNorm
  ☆106Updated last year
• slaysd / pytorch-sentiment-analysis-classification
  A PyTorch Tutorials of Sentiment Analysis Classification (RNN, LSTM, Bi-LSTM, LSTM+Attention, CNN)
  ☆326Updated 2 years ago
• s-chh / PyTorch-Scratch-Vision-Transformer-ViT
  Simple and easy to understand PyTorch implementation of Vision Transformer (ViT) from scratch, with detailed steps. Tested on common data…
  ☆147Updated last month
• dehoyosb / temporal_fusion_transformer_pytorch
  ☆232Updated 5 years ago
• afters-cool / transformer
  Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
  ☆29Updated 4 years ago
• maxjcohen / transformer
  Implementation of Transformer model (originally from Attention is All You Need) applied to Time Series.
  ☆900Updated 2 years ago
• datnnt1997 / multi-head_self-attention
  A Faster Pytorch Implementation of Multi-Head Self-Attention
  ☆74Updated 3 years ago
• CVxTz / time_series_forecasting
  ☆204Updated 3 years ago
• PawaritL / BayesianLSTM
  Bayesian LSTM Implementation in PyTorch
  ☆113Updated 2 years ago
• PyLink88 / Recurrent-Autoencoder
  Recurrent Neural Networks based Autoencoder for Time Series Anomaly Detection
  ☆28Updated 4 years ago
• XiaoyuBIE1994 / DVAE
  (FTML 2021) Official implementation of Dynamical VAEs
  ☆232Updated 2 years ago
• haohy / TCAN
  A PyTorch implementation of the TCAN model in "Temporal Convolutional Attention-based Network For Sequence Modeling".
  ☆143Updated 2 years ago