Ecosyste.ms: Repos
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GitHub topics: objective-functions
alexandershaw4/aoptim
a gradient-based optimisation routine for highly parameterised non-linear dynamical models
Language: MATLAB - Size: 6.9 MB - Last synced: 13 days ago - Pushed: 13 days ago - Stars: 3 - Forks: 0
alfin3/infrastructure-as-opt
Provisioning of distributed infrastructure for learning as an optimization problem. An implementation of proof-of-concept iteration components is provided.
Language: Python - Size: 389 KB - Last synced: about 1 month ago - Pushed: over 3 years ago - Stars: 0 - Forks: 0
SimonBlanke/Surfaces
A collection and visualization of single objective black-box functions for optimization benchmarking.
Language: Python - Size: 13.8 MB - Last synced: about 2 months ago - Pushed: about 2 months ago - Stars: 1 - Forks: 0
wecarsoniv/beta-divergence-metrics
PyTorch implementations of the beta divergence loss.
Language: Python - Size: 360 KB - Last synced: about 1 month ago - Pushed: over 2 years ago - Stars: 9 - Forks: 0
lusinlu/bias-loss-skipblocknet
[ICCV 2021]Code for the the bias loss and evaluation of SkipblockNet model on ImageNet validation set
Language: Python - Size: 19.8 MB - Last synced: 8 months ago - Pushed: almost 2 years ago - Stars: 33 - Forks: 6
MichaelAlexanderBryant/auc-roc-loss-function
A TensorFlow loss function based on a approximation of the normalized Wilcoxon-Mann-Whitney (WMW) statistic.
Language: Jupyter Notebook - Size: 998 KB - Last synced: 10 months ago - Pushed: 10 months ago - Stars: 0 - Forks: 0
KipedeneCoulibaly/Custom-objective-function
Customization of objective functions of gradient boosting tree algorithms such as Xgboost / LightGbm / CatBoost...
Size: 404 KB - Last synced: 11 months ago - Pushed: about 1 year ago - Stars: 1 - Forks: 0
KahlerYasla/Linear-Programming-Production-Optimization
This repository contains a linear programming model for optimizing production of t-shirts and jeans in two different centers. The objective is to maximize profit by finding the optimal combination of production in each center. Constraints include capacity limits and raw material availability
Language: Jupyter Notebook - Size: 69.3 KB - Last synced: over 1 year ago - Pushed: over 1 year ago - Stars: 0 - Forks: 0
ngctnnnn/Simulation_experiments_for_optimizing_objective_function
Simulation experiments for optimizing objective function with Differential Evolution, Evolution Strategies and Cross Entropy Method (2 versions)
Language: Jupyter Notebook - Size: 416 MB - Last synced: over 1 year ago - Pushed: over 2 years ago - Stars: 3 - Forks: 2
HxnDev/8-Queen-Problem-Solver-in-Python
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.
Language: Python - Size: 68.4 KB - Last synced: over 1 year ago - Pushed: almost 3 years ago - Stars: 5 - Forks: 1
Vanova/mfom_dcase16_task4
Multi-label MFoM framework for DCASE 2016: Task 4
Language: Python - Size: 743 KB - Last synced: over 1 year ago - Pushed: over 5 years ago - Stars: 4 - Forks: 1
SeongKu-Kang/ConCF_WWW22
Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering (WWW'22)
Language: Jupyter Notebook - Size: 421 KB - Last synced: about 1 year ago - Pushed: over 2 years ago - Stars: 6 - Forks: 2
