Machine Learning

Multiclass bearing fault classification using features learned by a deep neural network

Jan 1, 2022
Machine Learning, Regression, and Optimization

Aug 14, 2021
IndexedSlices in Tensorflow

What are `IndexedSlices` and why are they get used in Tensorflow?

Apr 1, 2021
Tensorflow 2 code for Attention Mechanisms chapter of Dive into Deep Learning (D2L) book

Implementing attention mechanisms, multi-head attention, transformer architecture, etc. from scratch in Tensorflow.

Mar 10, 2021
Reading multiple files in Tensorflow 2 using Sequence

Create a data pipeline by incrementally reading thousands of `csv` files using Tensorflow `Sequence`.

Dec 26, 2020
Reading multiple csv files in PyTorch

Create a data pipeline by incrementally reading thousands of `csv` files in PyTorch.

Dec 19, 2020
Data-Driven Remaining Useful Life (RUL) Prediction

Aim of this project is to produce reproducible results in condition monitoring. We will apply some of the standard machine learning techniques to publicly available datasets and show the results with code for remaining useful life (RUL) prediction task. This is an ongoing project and will evolve over time. Related notebooks can be found at this [github page](https://biswajitsahoo1111.github.io/rul_codes_open/).

Sep 5, 2020
Feature Subset Selection Using Sparse Principal Component Analysis and Multiclass Fault Classification Using Selected Features

Aug 20, 2020
Reading multiple files in Tensorflow 2

Create a data pipeline by incrementally reading thousands of `csv` files in Tensorflow.

Jan 9, 2020
Data-Driven Machinery Fault Diagnosis

Aim of this project is to produce reproducible results in condition monitoring. We will apply some of the standard machine learning techniques to publicly available machinery datasets and show the results with code for fault diagnosis task. This is an ongoing project and will evolve over time. Related notebooks and data can be found at this [github page](https://biswajitsahoo1111.github.io/cbm_codes_open/).

Apr 18, 2019