GitHub

A collection of machine learning examples and tutorials.

Please note that not all code from all courses will be found in this repository. Some newer code examples (e.g. most of Tensorflow 2.0) were done in Google Colab. Therefore, you should check the ...
Hacker

54 Blog Posts To Learn About Pytorch

Lets geek out. The HackerNoon library is now ranked by reading time created. Start learning by what others read most. Lets geek out. The HackerNoon library is now ranked by reading time created. Start ...
IEEE

Interpretable Convolutional Neural Networks

Abstract: This paper proposes a method to modify a traditional convolutional neural network (CNN) into an interpretable CNN, in order to clarify knowledge representations in high conv-layers of the ...
IEEE

Remembering history with convolutional LSTM for anomaly detection

Abstract: This paper tackles anomaly detection in videos, which is an extremely challenging task because anomaly is unbounded. We approach this task by leveraging a Convolutional Neural Network (CNN ...
GitHub

Paper List of Physics-Informed Neural Network (PINN)

"Neural Networks Meet Physics: A Survey of Physics-Informed Approaches to Modeling and Simulation." Nasir, Karthika, Rahul Menon, and Sneha Iyer. (2025). [Paper] Torres, Edgar, and Mathias Niepert.
C&EN

Ligand-Based Virtual Screening Using Graph Edit Distance as Molecular Similarity Measure

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...