arnabmaj Goto Github PK

active-learning-md

Active learning workflow developed as a part of the upcoming article "Machine Learning Inter-Atomic Potentials Generation Driven by Active Learning: A Case Study for Amorphous and Liquid Hafnium dioxide"

asap

ASAP is a package that can quickly analyze and visualize datasets of crystal or molecular structures.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-quantum-computing

A curated list of awesome quantum computing learning and developing resources.

beginners-pytorch-deep-learning

Repository for scripts and notebooks from the book: Programming PyTorch for Deep Learning

crest

Automated CREST runs

deeplearningzerotoall

TensorFlow Basic Tutorial Labs

extensive_deep_neural_networks

Simple examples of extensive deep neural networks in action

hands-on-quantum-machine-learning-with-python-vol-1

ml_projects

The projects I did and am doing while learning data science and ML

monthly-challenges

Repository containing monthly challenges about quantum computing.

neural-networks

pennylane-myexamples

practicing pennylane software

physics-informed-neural-networks

Investigating PINNs

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch_practice

pytorchzerotoall

Simple PyTorch Tutorials Zero to ALL!

quantum-machine-learning

Notebooks from University of Toronto's Quantum ML MOOC

quantum_computing

My code for quantum computing projects.

schnetpack

SchNetPack - Deep Neural Networks for Atomistic Systems

symbolic-regression-utilities

youtube-code-repository

Repository for most of the code from my YouTube channel