efsierraa
Developing AI Systems for Bearing Fault Identification through Signal Processing and Machine Learning Techniques in Python and MATLAB
Victoria University - MelbourneColombia
efsierraa's Stars
bbelderbos/price_watcher
Watches prices on amazon and texts you if the price hits a point
CyprienHoelzl/PyVKF
Python implementation of second generation Vold-Kalman Order Filter
ZhangWei1993/Mechanical-Fault-Diagnosis-Based-on-Deep-Learning
CNN for mechanical fault diagnosis
mozhenling/dbtree
Bandit Optimization Aglorithms and Envelope Analysis based Methods for Machinery Fault Diagnosis
QuentinLEGROS/TSP2023
Reproducible code of the paper "Instantaneous Frequency and Amplitude Estimation in Multi-Component Signals Using an EM-based Algorithm"
rasbt/machine-learning-book
Code Repository for Machine Learning with PyTorch and Scikit-Learn
kohpangwei/influence-release
marl/crepe
CREPE: A Convolutional REpresentation for Pitch Estimation -- pre-trained model (ICASSP 2018)
PacktPublishing/Python-Deep-Learning-Third-Edition
Python Deep Learning, Third Edition, published by Packt
jdtoscano94/Learning-Scientific_Machine_Learning_Residual_Based_Attention_PINNs_DeepONets
Physics Informed Machine Learning Tutorials (Pytorch and Jax)
ipython-books/cookbook-2nd-code
Code of the IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018 [read-only repository]
ipython-books/cookbook-2nd
IPython Cookbook, Second Edition, by Cyrille Rossant, Packt Publishing 2018
thiery-lab/data-assimilation
Python code for data assimilation methods
sevagh/pitch-detection
autocorrelation-based O(NlogN) pitch detection
jiaxiang-cheng/PyTorch-Transformer-for-RUL-Prediction
Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.
interpretml/DiCE
Generate Diverse Counterfactual Explanations for any machine learning model.
PacktPublishing/Advanced-Deep-Learning-with-Python
Advanced Deep Learning with Python by Packt Publishing
jonnor/machinehearing
Machine Learning applied to sound
google/visqol
Perceptual Quality Estimator for speech and audio
google/lyra
A Very Low-Bitrate Codec for Speech Compression
wesbz/SoundStream
This repository is an implementation of this article: https://arxiv.org/pdf/2107.03312.pdf
facebookresearch/AudioDec
An Open-source Streaming High-fidelity Neural Audio Codec
yangdongchao/AcademiCodec
AcademiCodec: An Open Source Audio Codec Model for Academic Research
facebookresearch/encodec
State-of-the-art deep learning based audio codec supporting both mono 24 kHz audio and stereo 48 kHz audio.
descriptinc/descript-audio-codec
State-of-the-art audio codec with 90x compression factor. Supports 44.1kHz, 24kHz, and 16kHz mono/stereo audio.
PRML/PRMLT
Matlab code of machine learning algorithms in book PRML
cambridge-mlg/combiner
bhrigu123/huffman-coding
Python Implementaion of Huffman Coding - compression and decompression
boschresearch/torchphysics
PML-UCF/pinn
Physics-informed neural networks package