Stars
Python measurement platform for the NanoElectronics group
Jupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.
Crystal graph convolutional neural networks for predicting material properties.
A resource for learning about Machine learning & Deep Learning
PyTorch Tutorials from my YouTube channel
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
BoundLess Objective-free eXploration (BLOX) for discovery of out-of-trend materials
Package for investigation of mulitlayer 2D heterostructures' lattices (Work in progress!)
Lightweight optimization with local, global, population-based and sequential techniques across mixed search spaces
Convolutional Neural Network-Based Algorithm to Predict the Future Direction of Cell Movement
This code contains the neural network implementation from the nature communication manuscript NCOMMS-16-25447A.
Robust Classification of Cell Cycle Phase and Biological Feature Extraction by Image-Based Deep Learning
A Python library to calculate elastic properties of materials.
AlphaZero implementation for Othello, Connect-Four and Tic-Tac-Toe based on "Mastering the game of Go without human knowledge" and "Mastering Chess and Shogi by Self-Play with a General Reinforceme…
A Python library for electronic structure pre/post-processing
Antenna array signal processing library implemented in python
About JARVIS-Tools: an open-source software package for data-driven atomistic materials design. Publications: https://scholar.google.com/citations?user=3w6ej94AAAAJ https://www.youtube.com/@dr_k_ch…
WannierTools: An open-source software package for novel topological materials. Full documentation: