clstm

Here are 10 public repositories matching this topic...

weihaox / ST-CLSTM

This is the UNOFFICIAL implementation of the ICCV 2019 paper 'Exploiting Temporal Consistency for Real-Time Video Depth Estimation'.

temporal-models depth-estimation 3d-convolutional-network depth-prediction clstm

Updated May 17, 2021
Python

negarhonarvar / StockTrading_DRL

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Automated stock trading strategy using deep reinforcement learning and recurrent neural networks

tensorflow deep-reinforcement-learning stock-market lstm-neural-networks stock-trading ppo clstm drl-algorithms finrl-library yfinance-library stable-baselines3 gymnasium-environment

Updated Oct 31, 2024
Python

ZionC27 / Speech-Emotion-Recognition

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Speech Emotion Recognition (SER) using Deep neural networks CNN and RNN

python machine-learning tensorflow keras speech ipython-notebook cnn lstm rnn librosa clstm speech-emotion-recognition speech-emotion-classification

Updated Apr 22, 2025
Jupyter Notebook

LauJames / Structure_Func_Recognition

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tensorflow cnn classification rnn clstm

Updated Apr 15, 2019
Python

souradeepdutta / Speech-Emotion-Recognition-with-CNN-LSTM-CLSTM

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his is a Speech Emotion Recognition system that classifies emotions from speech samples using deep learning models. The project uses four datasets: CREMAD, RAVDESS, SAVEE, and TESS. The model achieves an accuracy of 96% by combining CNN, LSTM, and CLSTM architectures, along with data augmentation techniques and feature extraction methods.

machine-learning deep-learning cnn lstm human-computer-interaction convolutional-lstm clstm speech-emotion-recognition ravdess-dataset speech-emotion-classification tess-dataset savee-dataset crema-d-dataset

Updated Nov 22, 2024
Jupyter Notebook

Fabiaho / Sentiment-Analysis

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This repository contains a reimplementation of the C-LSTM model and compares it with textblob and spacy.

python nlp neural-network pytorch clstm

Updated Jul 24, 2024
Python

krishnareddy006 / HATE-SPEECH-DETECTION-THROUGH-HYBRIB-DEEP-LEARNING-TECHNIQUE

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Detect hate speech in real-time using an LSTM-based deep learning model with Flask. Includes text preprocessing, live predictions, and a user-friendly web interface.

css python html profile flask machine-learning deep-learning random-forest support-vector-machine clstm