Alternatives and similar repositories for pytorch-lstm

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

• georgeyiasemis / Recurrent-Neural-Networks-from-scratch-using-PyTorch
  LSTM, RNN and GRU implementations using Pytorch
  ☆68Updated 4 years ago
• ShivamRajSharma / Transformer-Architectures-From-Scratch
  Implementation of transformers based architecture in PyTorch.
  ☆54Updated 5 years ago
• MagaliDrumare / How-to-learn-PyTorch-NN-CNN-RNN-LSTM
  ☆32Updated 8 years ago
• dhamvi01 / Univariate-Time-Series-using-LSTM
  ☆10Updated 10 months ago
• mmuppidi / DQN-Atari-Pong
  This project explores a deep reinforcement learning technique to train an agent to play atari pong game from OpenAI Gym. OpenAI Gym is a …
  ☆12Updated 7 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 5 years ago
• iam-mhaseeb / Multi-Layer-Perceptron-MNIST-with-PyTorch
  This repository is MLP implementation of classifier on MNIST dataset with PyTorch
  ☆40Updated 7 years ago
• Goschjann / ssltsc
  Codebase for the Paper "Deep Semi-supervised Learning (SSL) for Time Series Classification (TSC)" to appear at the ICMLA '21
  ☆12Updated 3 years ago
• rian-dolphin / Walmart_LSTM
  Predicting Walmart's Quarterly Earnings - Pytorch LSTM Example
  ☆10Updated 4 years ago
• bpkent / lstm-forecasting
  How to use PyTorch LSTMs for time series regression
  ☆28Updated 4 years ago
• louisenaud / stock_prediction
  Pytorch implentation of stock prediction via LSTMs
  ☆26Updated 7 years ago
• ywatanabe1989 / custom_losses_pytorch
  Custom loss functions to use in (mainly) PyTorch.
  ☆39Updated 5 years ago
• ajayn1997 / Neural-Architecture-Search-using-Reinforcement-Learning
  An implementation of neural architecture search using the REINFORCE algorithm. we use a re-current network to generate the model descript…
  ☆10Updated 5 years ago
• tploetz / LSTMEnsemble4HAR
  sourcecode for IMWUT 2017 paper "Ensembles of Deep LSTM Learners for Activity Recognition using Wearables" (Guan, Ploetz)
  ☆18Updated 7 years ago
• edchengg / PTB-pytorch-LSTM-attention
  PTB Language Modelling task with LSTM + Attention layer
  ☆31Updated 7 years ago
• FernandoLpz / Stacking-Blending-Voting-Ensembles
  This repository contains an example of each of the Ensemble Learning methods: Stacking, Blending, and Voting. The examples for Stacking a…
  ☆53Updated 4 years ago
• dsgiitr / rl_2048
  Implementation of Deep Q-network to play the game 2048 using Keras.
  ☆13Updated 4 years ago
• hemilpanchiwala / Dueling_Network_Architectures
  Implementation of Dueling Network Architectures for Deep Reinforcement Learning paper with Pytorch
  ☆13Updated 5 years ago
• exe1023 / LSTM_LN
  lstm with layer normalization
  ☆20Updated 4 years ago
• Ipsedo / MARLClassification
  Image classification using reinforcement learning and multi-agent system
  ☆48Updated last year
• ian0 / donkeycar-rl
  Teaching the Donkey car to drive a track in the simulator using State Representation Learning and different Reinforcement Learning Algori…
  ☆10Updated 4 years ago
• bhpfelix / PyTorch-Time-Series-Classification-Benchmarks
  Time Series Classification Benchmark with LSTM, VGG, ResNet
  ☆60Updated 7 years ago
• zhong110020 / pytorch_TCN
  Sequence modeling benchmarks and temporal convolutional networks https://github.com/locuslab/TCN
  ☆24Updated 6 years ago
• sjblim / rnf-ijcnn-2020
  Recurrent Neural Filters for Time Series Prediction
  ☆23Updated 5 years ago
• kaustubhhiware / LSTM-GRU-from-scratch
  LSTM, GRU cell implementation from scratch in tensorflow
  ☆39Updated 7 years ago
• bartkowiaktomasz / har-wisdm-lstm-rnns
  Human Activity Recognition on the Wireless Sensor Data Mining (WISDM) dataset using LSTM Recurrent Neural Networks
  ☆37Updated 3 years ago
• Flawless1202 / Non-AR-Spatial-Temporal-Transformer
  Implementation of the paper NAST: Non-Autoregressive Spatial-Temporal Transformer for Time Series Forecasting.
  ☆77Updated 4 years ago
• sydney-machine-learning / deeplearning_timeseries
  Evaluation of shallow and deep learning models for multi-step-ahead time series prediction
  ☆64Updated 4 years ago
• emadRad / lstm-gru-pytorch
  LSTM and GRU in PyTorch
  ☆269Updated 6 years ago
• Mayurji / MLWithPytorch
  Objective of the repository is to learn and build machine learning models using Pytorch. 30DaysofML Using Pytorch
  ☆129Updated 3 weeks ago