This is the UNOFFICIAL implementation of the ICCV 2019 paper 'Exploiting Temporal Consistency for Real-Time Video Depth Estimation'.
-
Updated
May 17, 2021 - Python
This is the UNOFFICIAL implementation of the ICCV 2019 paper 'Exploiting Temporal Consistency for Real-Time Video Depth Estimation'.
Automated stock trading strategy using deep reinforcement learning and recurrent neural networks
Speech Emotion Recognition (SER) using Deep neural networks CNN and RNN
This is a Speech Emotion Recognition system that classifies emotions from speech samples using deep learning models. Trained on CREMAD, RAVDESS, SAVEE, and TESS datasets using CNN, LSTM, and CLSTM architectures.
This repository contains a reimplementation of the C-LSTM model and compares it with textblob and spacy.
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.
Spatiotemporal Depth Estimation using Monocular Cameras using Kitty Dataset.
C-LSTM based malicious HTTP traffic detection with a live dashboard: extracts request URLs from pcap captures, classifies them as normal/attack/malware, and visualizes the results in real time.
To associate your repository with the clstm topic, visit your repo's landing page and select "manage topics."