SeqNet: Code for the RA-L (ICRA) 2021 paper "SeqNet: Learning Descriptors for Sequence-Based Hierarchical Place Recognition"
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Updated
Oct 14, 2024 - Python
SeqNet: Code for the RA-L (ICRA) 2021 paper "SeqNet: Learning Descriptors for Sequence-Based Hierarchical Place Recognition"
A pytorch package for non-negative matrix factorization.
Classification models 1D Zoo - Keras and TF.Keras
A version of the YOLOv3 network capable of handling 1D data inputs.
Audio processing by using pytorch 1D convolution network
IDH and TERTp mutation classification in gliomas using 1D-CNN with MRS data.
Impulse Classification Network (ICN) for video Head Impulse Test
This repository provides the code used to create the results presented in "Global canopy height regression and uncertainty estimation from GEDI LIDAR waveforms with deep ensembles".
Protein structure prediction using 1d CNN and GRU 🧬
Bengali Newses are classified in six catagories. This is done by first extracting the semantics of Bengali words using word2vec. Then using those semantics, all the news are classified. Bengali NLP resources are not very rich compared to other languages. This is a complete project that includes Bengali word embedding, data cleaning using word st…
DeepFake ECG generator based on 1D Convoloutional Neural Networks
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1DConvNet applied to room occupancy detection based on data from several environment sensors. Data courtesy of the UCI Machine Learning Repository.
1-D convolution implementation using Python and CUDA
Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
1D convolutional neural networks for activity recognition in python.
In this work we propose two postprocessing approaches applying convolutional neural networks (CNNs) either in the time domain or the cepstral domain to enhance the coded speech without any modification of the codecs. The time domain approach follows an end-to-end fashion, while the cepstral domain approach uses analysis-synthesis with cepstral d…
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Anti-hydrogen detection using CNNs from ASACUSA experiment
Set of 1D CNN models to classify sound clips from the Urban Sound Classification dataset using Keras and Librosa
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