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.
  ☆529Updated 3 years ago
• piEsposito / pytorch-lstm-by-hand
  A small and simple tutorial on how to craft a LSTM nn.Module by hand on PyTorch.
  ☆127Updated 4 years ago
• emadRad / lstm-gru-pytorch
  LSTM and GRU in PyTorch
  ☆257Updated 6 years ago
• ctxj / Time-Series-Transformer-Pytorch
  ☆65Updated 3 years ago
• koc-lab / MTSIT
  Codes for: "Multivariate Time Series Imputation with Transformers"
  ☆26Updated last year
• lkulowski / LSTM_encoder_decoder
  Build a LSTM encoder-decoder using PyTorch to make sequence-to-sequence prediction for time series data
  ☆415Updated 3 years ago
• rakesh-yadav / PyTorch-RNN-Tutorial
  PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting
  ☆39Updated 2 years ago
• alexzhou907 / ls4
  ☆19Updated last year
• SheezaShabbir / Time-series-Analysis-using-LSTM-RNN-and-GRU
  Time series Analysis using LSTM,RNN and GRU with pytorch
  ☆37Updated 2 years ago
• 2M-kotb / LSTM-based-Stacked-Autoencoder
  ☆19Updated 3 years ago
• Emmanuel-R8 / Time_Series_Transformers
  Time series forecast using deep learning transformers (simple, XL, compressive). Implementation in Pytorch and Pytorch Lightning.
  ☆29Updated 4 years ago
• rishabkr / Attention-Is-All-You-Need-Explained-PyTorch
  A paper implementation and tutorial from scratch combining various great resources for implementing Transformers discussesd in Attention …
  ☆12Updated 3 years ago
• CUN-bjy / lstm-vae-torch
  A Simple Pytorch Implementation of LSTM-based Variational Autoencoder(VAE)
  ☆55Updated last year
• spdin / time-series-prediction-lstm-pytorch
  Time Series Prediction with LSTM Using PyTorch
  ☆208Updated 5 years ago
• devjwsong / lstm-bayesian-optimization-pytorch
  Bayesian Optimization implementation for text classifiction
  ☆23Updated 8 months ago
• rtavenar / ushant_ais
  Dataset of vessel trajectories recorded using AIS in the Ushant region
  ☆11Updated 5 years ago
• Sid2690 / Deep-KAN
  Better implementation of Kolmogorov Arnold Network
  ☆23Updated 9 months ago
• OrigamiSL / TCCT2021
  Convolutional Transformer Architectures Complementary to Time Series Forecasting Transformer Models
  ☆50Updated 3 years ago
• kibitzing / BayesianRNN_pytorch
  pytorch implementation of "A Theoretically Grounded Application of Dropout in Recurrent Neural Networks" LSTM(https://arxiv.org/abs/1512.…
  ☆21Updated 4 years ago
• myscience / x-lstm
  Pytorch implementation of the xLSTM model by Beck et al. (2024)
  ☆160Updated 7 months ago
• sgrvinod / a-PyTorch-Tutorial-to-Transformers
  Attention Is All You Need | a PyTorch Tutorial to Transformers
  ☆302Updated last year
• KasperGroesLudvigsen / influenza_transformer
  PyTorch implementation of Transformer model used in "Deep Transformer Models for Time Series Forecasting: The Influenza Prevalence Case"
  ☆251Updated 2 years ago
• kokikwbt / deep-kalman-filter
  ☆13Updated 2 years ago
• smvorwerk / xlstm-cuda
  Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports
  ☆86Updated 9 months ago
• chrisvdweth / ml-toolkit
  ☆64Updated 4 years ago
• NISCHALPI / xLSTM-and-mLSTM
  An implementation of mLSTM and sLSTM in PyTorch.
  ☆27Updated 10 months ago
• lorenlugosch / pytorch_HMM
  HMMs in PyTorch
  ☆137Updated 4 years ago
• PawaritL / BayesianLSTM
  Bayesian LSTM Implementation in PyTorch
  ☆104Updated 2 years ago
• paul-krug / pytorch-tcn
  (Realtime) Temporal Convolutions in PyTorch
  ☆115Updated 2 months ago
• ymwdalex / pytorch-time-series-forcasting
  This repository implements some popular neural network time series forcasting solution with comprehensive comments and tensor shape expla…
  ☆23Updated 4 years ago