A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum compu…

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Policy Gradient is all you need! A step-by-step tutorial for well-known PG methods.

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

[CVPR 2024] "MACE: Mass Concept Erasure in Diffusion Models" (Official Implementation)

[CVPR 2024 Highlight] Logit Standardization in Knowledge Distillation

Kaggle Solutions: A Record of My Kaggle & Other Contests Solving Journey.