Bayesian-Hyper-Parameter-Optimization-for-Malware-Detection-Extended

Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation

Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

Scalable, event-driven, deep-learning-friendly backtesting library

a lightweight header-only C++17 library of numerical optimization methods for (un-)constrained nonlinear functions

Nonlinear optimisation (root-finding, least squares, ...) in JAX+Equinox. https://docs.kidger.site/optimistix/

A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.

Kernels for machine learning problems

State-of-the art Automated Machine Learning python library for Tabular Data

A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.