The library is useful for analyzing the emotions present in any audio file(call/music/recordings) into three classes namely positive, negative, neutral.
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Updated
Jul 26, 2016 - Python
The library is useful for analyzing the emotions present in any audio file(call/music/recordings) into three classes namely positive, negative, neutral.
Vehicle detection on images and video for Self-Driving Car Engineer Nanodegree program
大学本科毕业设计
Statistical and neural based methods for extracting features from text
Reproducible research code for the experiments presented in our article "Kara1k: a karaoke dataset for cover song identification and singing voice analysis" published at IEEE ISM 2017
Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016
A acoustic sound or environmental sound recogniser, uses deep neural networks to train on models
Use 3D ResNet to extract features of UCF101 and HMDB51 and then classify them.
Code for paper titled, "BSite-pro: A Novel Approach for Binding Site Prediction in Protein Sequences".
Feature extraction and unsupervised learning for cell image dataset.
DBP-PSSM
Grid features extraction for ICCV 2021 paper "TRAR: Routing the Attention Spans in Transformers for Visual Question Answering"
Python code to extract features from Protein sequences for Machine Learning/Deep Learning
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