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GitHub Open Source Repositories

Search: lstm

Page 98

Showing 10 results from 3,598

E

LuoweiZhou/e2e-gLSTM-sc

GitHub Jupyter Notebook

Code for paper "Image Caption Generation with Text-Conditional Semantic Attention"

★ 61 Forks 15 LuoweiZhou Updated 30 Aug 2025
T

zahid58/TwoStreamSepConvLSTM_ViolenceDetection

GitHub Python MIT License

Code for the paper: "Efficient Two-Stream Network for Violence Detection Using Separable Convolutional LSTM"

★ 61 Forks 14 zahid58 Updated 04 Apr 2026
L

dion-jy/lstm-vae-torch

GitHub Python MIT License

A Simple Pytorch Implementation of LSTM-based Variational Autoencoder(VAE)

★ 61 Forks 6 dion-jy Updated 25 May 2026
L

Garyou19/LSTM_PyTorch_Electric-Load-Forecasting

GitHub Python

使用PYTorch框架建立的一个简单的LSTM模型来进行电力负荷预测

★ 61 Forks 5 Garyou19 Updated 13 Jun 2026
A

vipulSharma18/Automatic-Emotion-Recognition-on-DEAP-Dataset

GitHub Jupyter Notebook

The project uses EEG signals from the DEAP Dataset to classify emotions into 4 classes using Ensembled 1-D CNNs, LSTMs and 2D , 3D CNNs and Cascaded CNNs with LSTMs.

★ 61 Forks 11 vipulSharma18 Updated 10 Apr 2026
T

fuqiuai/TensorFlow-Deep-Learning

GitHub Jupyter Notebook

用TensorFlow搭建CNN/RNN/LSTM/GRU/BiRNN/BiLSTM/BiGRU/Capsule Network等deep learning模型

★ 61 Forks 16 fuqiuai Updated 25 Mar 2026
P

shimonanarang/pair-trading

GitHub Python

Statistical arbitrage of cointegrating currencies with pair trading where the signal for the next day is predicted using LSTM

★ 61 Forks 12 shimonanarang Updated 21 Apr 2026
P

eliberis/parapred

GitHub Python MIT License

Paratope Prediction using Deep Learning

★ 61 Forks 16 eliberis Updated 17 Sep 2025
P

susiegriggo/Phynteny

GitHub PureBasic MIT License

Predict the function of phage hypothetical proteins using an LSTM model trained with Phage Synteny

★ 61 Forks 3 susiegriggo Updated 05 Jun 2026
A

hjian42/automatic-personality-prediction

GitHub Python

[AAAI SAP 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

★ 61 Forks 19 hjian42 Updated 12 Feb 2026
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