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
Detection of Object-Based Forgery in Advanced Video
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
Keras based CNN models for classification related problems .
A acoustic sound or environmental sound recogniser, uses deep neural networks to train on models
A tool for extraction of lexical features from text based on UIMA and MapReduce
Vehicle Detection
Use 3D ResNet to extract features of UCF101 and HMDB51 and then classify them.
Feature extraction, HMMs, Neural Nets, and Boosting for Kaggle Cornell Whale detection challenge.
A Smart Filtering to keep and remove the character or words of the text. (SOON)
Code for paper titled, "BSite-pro: A Novel Approach for Binding Site Prediction in Protein Sequences".
Project is about detecting spliced images using extracted features of image and SVM classifier.
Feature extraction and unsupervised learning for cell image dataset.
Create a Lane Finding pipeline that finds lane lines on the road
Repositório dedicado da disciplina contendo alguns classificadores
DBP-PSSM
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