Accurate classification of fault is important for condition based maintenance (CBM) applications. Two main approaches commonly used for fault classification are model-based and …
What are `IndexedSlices` and why are they get used in Tensorflow?
Implementing attention mechanisms, multi-head attention, transformer architecture, etc. from scratch in Tensorflow.
Create a data pipeline by incrementally reading thousands of `csv` files using Tensorflow `Sequence`.
Create a data pipeline by incrementally reading thousands of `csv` files in PyTorch.
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 …
Use of `map` and `prefetch` combined with generators can speed up data ingestion.
Create a data pipeline by incrementally reading thousands of `csv` files in Tensorflow.
Understanding python generators with simple examples.
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 …