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Dec 8, 2022 - Python
cnn-lstm
Here are 89 public repositories matching this topic...
isolated & continuous sign language recognition using CNN+LSTM/3D CNN/GCN/Encoder-Decoder
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May 12, 2020 - Python
Bearing fault diagnosis model based on MCNN-LSTM
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Jul 20, 2023 - Jupyter Notebook
Predict Vehicle collision moments before it happens in Carla!. CNN and LSTM hybrid architecture is used to understand a series of images.
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Mar 26, 2024 - Python
Using LSTM or Transformer to solve Image Captioning in Pytorch
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Jul 20, 2021 - Python
Stock Price Prediction using CNN-LSTM
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Jan 20, 2020 - Jupyter Notebook
The project uses state of the art deep learning on collected data for automatic analysis of emotions.
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May 22, 2018 - Python
Speech Emotion Recognition from raw speech signals using 1D CNN-LSTM
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Jun 3, 2021 - Python
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Oct 19, 2018 - Jupyter Notebook
A CNN-LSTM deep learning model for prognostic prediction and classification of Alzheimer's MRI neuroimages.
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Sep 17, 2020 - Python
A personal trial to understand and simulate forest wildfire spreading from satellite data using Deep Learning (a model with a ConvLSTM layer).
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Dec 16, 2023
NN models designed to analyze and predict stock market from any stock data given
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May 14, 2023 - Jupyter Notebook
A Multi-classification of chinese text with cnn-rnn model.
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Jun 1, 2018 - Python
Create a mid-price classifier for limit order books using a CNN and LSTM
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Apr 24, 2020 - Jupyter Notebook
Can chess engine use be detected just from the moves on the board? Let's try, using a CNN - LSTM architecture.
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Oct 15, 2020 - Python
An experimental project for autonomous vehicle driving perception with steering angle prediction and semantic segmentation using a combination of UNet, attention and transformers.
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Mar 27, 2021 - Python
Chapter 6: Convolutional Neural Networks
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Jul 23, 2019 - Jupyter Notebook
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Dec 11, 2017 - Python
Building Time series forecasting models, including the XGboost Regressor, GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), CNN (Convolutional Neural Network), CNN-LSTM, and LSTM-Attention. Additionally, hybrid models like GRU-XGBoost and LSTM-Attention-XGBoost for Electricity Demand and price prediction
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Jul 18, 2023 - Jupyter Notebook
Performed various Deep Learning techniques to detect Human Activity using Sequential Data detect human activities generated by sensor-based wearable devices
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Mar 19, 2020 - Jupyter Notebook
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