Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016
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Updated
Apr 30, 2018 - Python
Code and data for the research paper "Towards Open Set Deep Networks" A Bendale, T Boult, CVPR 2016
Use 3D ResNet to extract features of UCF101 and HMDB51 and then classify them.
The library is useful for analyzing the emotions present in any audio file(call/music/recordings) into three classes namely positive, negative, neutral.
Python code to extract features from Protein sequences for Machine Learning/Deep Learning
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
A acoustic sound or environmental sound recogniser, uses deep neural networks to train on models
Vehicle detection on images and video for Self-Driving Car Engineer Nanodegree program
Code for paper titled, "BSite-pro: A Novel Approach for Binding Site Prediction in Protein Sequences".
Grid features extraction for ICCV 2021 paper "TRAR: Routing the Attention Spans in Transformers for Visual Question Answering"
DBP-PSSM
大学本科毕业设计
Feature extraction and unsupervised learning for cell image dataset.
Statistical and neural based methods for extracting features from text
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