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Topic: "objective-functions"

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 at: 16 days ago - Pushed at: over 2 years ago - Stars: 35 - Forks: 6

wecarsoniv/beta-divergence-metrics

PyTorch implementations of the beta divergence loss.

Language: Python - Size: 360 KB - Last synced at: 12 days ago - Pushed at: about 3 years ago - Stars: 10 - Forks: 0

SeongKu-Kang/ConCF_WWW22

Consensus Learning from Heterogeneous Objectives for One-Class Collaborative Filtering (WWW'22)

Language: Jupyter Notebook - Size: 421 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 6 - 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 at: 30 days ago - Pushed at: almost 4 years ago - Stars: 5 - Forks: 0

alexandershaw4/aoptim

a gradient-based optimisation routine for highly parameterised non-linear dynamical models

Language: MATLAB - Size: 7 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0

Vanova/mfom_dcase16_task4

Multi-label MFoM framework for DCASE 2016: Task 4

Language: Python - Size: 743 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 4 - Forks: 1

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 at: about 2 years ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 2

SimonBlanke/Surfaces

A collection and visualization of single objective black-box functions for optimization benchmarking.

Language: Python - Size: 14.4 MB - Last synced at: about 1 month ago - Pushed at: 6 months ago - Stars: 2 - Forks: 0

kipedene/Custom-objective-function

Customization of objective functions of gradient boosting tree algorithms such as Xgboost / LightGbm / CatBoost...

Size: 404 KB - Last synced at: 6 months ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

gaetanserre/pyGKLS

pyGKLS is a Python wrapper for the GKLS generator of global optimization test functions (Giavano et al., 2003).

Language: C++ - Size: 560 KB - Last synced at: about 23 hours ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

ewdlop/ComputingNeuralNetworksNote

Language: Jupyter Notebook - Size: 117 KB - Last synced at: 2 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

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 at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - 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 at: 12 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Related Topics
python 4 loss-functions 3 gradient-descent 2 optimization 2 pytorch 2 machine-learning 2 deep-learning 2 ackley 1 itakura-saito-divergence 1 divergences 1 divergence 1 distance-metrics 1 distance-metric 1 distance-measures 1 beta-divergence 1 cross-entropy-method 1 objective-function-optimization 1 differential-evolution 1 evolution-strategies 1 objective-function 1 generator 1 latency 1 sphere 1 rosenbrock 1 rastrigin 1 griewank 1 pytorch-implementation 1 mobilenet 1 mobile-networks 1 nqueens-solution 1 nqueens-problem-solver 1 nqueens-problem 1 code 1 8queens-problem 1 8queens 1 test-functions 1 hyperactive 1 gradient-free-optimization 1 black-box-optimization 1 torch 1 numpy 1 non-negative-matrix-factorization 1 nmf-decomposition 1 nmf 1 mean-squared-error 1 mean-square-error 1 loss 1 kullback-leibler-divergence 1 kl-divergence 1 childish 1 backpropagation 1 activation-function 1 recommender-system 1 one-class-collaborative-filtering 1 model-ensemble 1 consensus-learning 1 xgboost 1 r 1 lightgbm 1 gradient-boosting 1 custom-objective-function 1 catboost 1 recurrent-neural-networks 1 non-decomposable-loss 1 multilabel-classification 1 mfom 1 maximal-figure-of-merit 1 dcase2016 1 dcase 1 crnn 1 convolutional-neural-networks 1 tensorflow 1 cost-functions 1 auc-roc 1 system-identification 1 parameter-estimation 1 optimization-algorithms 1 numerical-optimization 1 nmm 1 neuroscience 1 neural-mass 1 model-inversion 1 model-fitting 1 dynamical-systems 1 dynamical-modeling 1 differential-equations 1 dcm 1 curvature-descent 1 computational-neuroscience 1 iot 1 imitation-game 1 derivatives 1 convergence-rate 1