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58 public repositories
matching this topic...
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Updated
Apr 4, 2022
Jupyter Notebook
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Updated
Feb 27, 2022
Python
Python library to easily log experiments and parallelize hyperparameter search for neural networks
Updated
Oct 14, 2021
JavaScript
Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]
Updated
Jul 2, 2020
Python
Python library for Bayesian hyper-parameters optimization
Updated
Aug 28, 2018
Python
Hyperparameter optimization algorithms for use in the MLJ machine learning framework
Updated
Jun 5, 2022
Julia
Spark Parameter Optimization and Tuning
Updated
Apr 11, 2018
Scala
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
Updated
Feb 24, 2022
Python
Wrapper feature selection for mlr3
PyPop7: A Pure-PYthon library of POPulation-based OPtimization for continuous black-box problems.
Updated
Jun 5, 2022
Python
Ithaka board game is played on a four by four square grid with three pieces in each of four colors.
Updated
Jul 11, 2020
Java
Hyperparameters-Optimization
Updated
Nov 16, 2020
Jupyter Notebook
Different hyperparameter optimization methods to get best performance for your Machine Learning Models
Updated
Oct 4, 2020
Jupyter Notebook
Implementation of Grid Search to find better hyper-parameters for decision tree to reduce the over fitting.
Updated
May 29, 2021
Jupyter Notebook
The python implementation of Partition-based Random Search for stochastic multi-objective optimization via simulation
A simple random searching technique which provides a competitive approach to Reinforcement learning for Locomotion related tasks on Mu-Jo-Co bodies like Humanoid, Half-Cheetah etc
Updated
Aug 1, 2020
Python
The repository includes the Augmented Random Search algorithm implemented from scratch in Python. This AI algorithm as released on March 2018 research paper is a faster and more efficient than other reinforcement algorihtms.
Updated
Aug 2, 2018
Python
Open-Source Optimization Library - Extremum
Updated
Apr 7, 2021
Python
Code for Quora Competition on Kaggle
Updated
Jan 17, 2018
Python
This package is an automatic machine learning module whose function is to optimize the hyper-parameters of an automatic learning model.
Updated
Nov 24, 2021
Python
Hyperparameter Optimization
Updated
Jun 1, 2020
Jupyter Notebook
Global optimization by uniform random global search
Updated
Oct 14, 2021
Python
A simple n-dimensional random search algorithm
Updated
Sep 6, 2020
Python
Algorithms to solve the 0/1 Knapsack, Travelling Salesman and OneMax problems
Updated
Jun 21, 2017
Java
A neural network model that can approximate any non-linear function by using the random search algorithm for the optimization of the loss function.
Hyper-parameter + encoding + architecture grid/random search for keras
These are Stochastic Optimization Codes by using various Techniques to optimize the function/Feature Selection
Updated
Jun 2, 2020
Python
Find the optimal parameters of an algorithm using random search in R
Deep Learning Laboratory course at Albert-Ludwigs-University Freiburg
Updated
Nov 14, 2020
Jupyter Notebook
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System information
OS Platform and Distribution: All
TensorFlow version: 2.0+
Python version: 3.7+
Source code / logs
In Release 0.2.0 the creation of sub folders for a TensorBoard callback was added.
Add an example for the GridSearchCV in combination of a TensorBoard callback.
Releated Issue: #31