Stars
A resource for learning about Machine learning & Deep Learning
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
PyTorch Tutorials from my YouTube channel
Lightweight optimization with local, global, population-based and sequential techniques across mixed search spaces
Crystal graph convolutional neural networks for predicting material properties.
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:
Jupyter notebooks demonstrating the utilization of open-source codes for the study of materials science.
A Python library for electronic structure pre/post-processing
Antenna array signal processing library implemented in python
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 to calculate elastic properties of materials.
This code contains the neural network implementation from the nature communication manuscript NCOMMS-16-25447A.
BoundLess Objective-free eXploration (BLOX) for discovery of out-of-trend materials
Package for investigation of mulitlayer 2D heterostructures' lattices (Work in progress!)
Python measurement platform for the NanoElectronics group
Robust Classification of Cell Cycle Phase and Biological Feature Extraction by Image-Based Deep Learning
Convolutional Neural Network-Based Algorithm to Predict the Future Direction of Cell Movement