[ICCV 2021]Code for the the bias loss and evaluation of SkipblockNet model on ImageNet validation set
PyTorch implementations of the beta divergence loss.
Standardized test-functions for optimization algorithms and machine-learning
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering (WWW'22)
The 8-queens problems asks us to place 8 queens on a chessboard so that no two can capture one another; that is, no two are on the same row, column, or diagonal.
Multi-label MFoM framework for DCASE 2016: Task 4
Simulation experiments for optimizing objective function with Differential Evolution, Evolution Strategies and Cross Entropy Method (2 versions)
pyGKLS is a Python wrapper for the GKLS generator of global optimization test functions (Giavano et al., 2003).
Usage of SnapKit, UIButtons, Objective-C Functions and Animation
Customization of objective functions of gradient boosting tree algorithms such as Xgboost / LightGbm / CatBoost...
Provisioning of distributed infrastructure for learning as an optimization problem. An implementation of proof-of-concept iteration components is provided.
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