[ICCV 2021]Code for the the bias loss and evaluation of SkipblockNet model on ImageNet validation set
PyTorch implementations of the beta divergence loss.
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
a gradient-based optimisation routine for highly parameterised non-linear dynamical models
Simulation experiments for optimizing objective function with Differential Evolution, Evolution Strategies and Cross Entropy Method (2 versions)
Usage of SnapKit, UIButtons, Objective-C Functions and Animation
Customization of objective functions of gradient boosting tree algorithms such as Xgboost / LightGbm / CatBoost...
A collection and visualization of single objective black-box functions for optimization benchmarking.
Provisioning of distributed infrastructure for learning as an optimization problem. An implementation of proof-of-concept iteration components is provided.
A TensorFlow loss function based on a approximation of the normalized Wilcoxon-Mann-Whitney (WMW) statistic.
pyGKLS is a Python wrapper for the GKLS generator of global optimization test functions (Giavano et al., 2003).
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