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random-search
Here are 51 public repositories matching this topic...
Python library to easily log experiments and parallelize hyperparameter search for neural networks
data-science
machine-learning
caffe
deep-learning
chainer
tensorflow
keras
pytorch
neural-networks
hyperparameter-optimization
grid-search
random-search
caffe2
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Updated
Jan 17, 2021 - JavaScript
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
machine-learning
deep-learning
random-forest
optimization
svm
genetic-algorithm
machine-learning-algorithms
hyperparameter-optimization
artificial-neural-networks
grid-search
tuning-parameters
knn
bayesian-optimization
hyperparameter-tuning
random-search
particle-swarm-optimization
hpo
python-examples
python-samples
hyperband
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Updated
Aug 19, 2021 - Jupyter Notebook
Square Attack: a query-efficient black-box adversarial attack via random search [ECCV 2020]
random-search
robustness
adversarial-attacks
black-box-attacks
zeroth-order-optimization
adversarial-robustness
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Updated
Jul 2, 2020 - Python
Python library for Bayesian hyper-parameters optimization
python
data-science
machine-learning
big-data
deep-learning
neural-network
tensorflow
model-selection
hyperparameter-optimization
convolutional-neural-networks
gaussian-processes
bayesian-optimization
random-search
optimization-algorithms
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Updated
Aug 28, 2018 - Python
Hyperparameter optimization algorithms for use in the MLJ machine learning framework
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Updated
Aug 23, 2021 - Julia
Spark Parameter Optimization and Tuning
machine-learning
spark
optimizer
hyperparameters
hyperparameter-optimization
machinelearning
vowpal-wabbit
grid-search
hyperparameter-tuning
random-search
optimization-algorithms
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Updated
Apr 11, 2018 - Scala
Sparse-RS: a versatile framework for query-efficient sparse black-box adversarial attacks
random-search
l0
adversarial-attacks
black-box-attacks
sparse-attacks
adversarial-patches
adversarial-frames
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Updated
Dec 15, 2020 - Python
Ithaka board game is played on a four by four square grid with three pieces in each of four colors.
board-game
artificial-intelligence
brute-force
artificial-neural-networks
monte-carlo-simulation
monte-carlo-tree-search
random-search
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Updated
Jul 11, 2020 - Java
Hyperparameters-Optimization
optimization
hyperparameter-optimization
grid-search
bayesian-optimization
hyperparameter-tuning
random-search
hpo
hyperparameter
hyperparameter-search
tpe
gridsearchcv
hyperband
tree-structured
randomsearchcv
hyperbandsearchcv
bayessearchcv
fmin
tree-of-parzen-estimator
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Updated
Nov 16, 2020 - Jupyter Notebook
Wrapper feature selection for mlr3
machine-learning
r
optimization
feature-selection
evolutionary-algorithms
r-package
random-search
recursive-feature-elimination
exhaustive-search
mlr3
sequential-feature-selection
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Updated
Aug 23, 2021 - R
The python implementation of Partition-based Random Search for stochastic multi-objective optimization via simulation
artificial-intelligence
multi-objective-optimization
evolutionary-algorithm
monte-carlo-tree-search
random-search
global-optimization-algorithms
simulation-optimization
pareto-optimality
partition-based-random-search
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Updated
Oct 4, 2017 - C
Implementation of Grid Search to find better hyper-parameters for decision tree to reduce the over fitting.
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May 29, 2021 - Jupyter Notebook
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.
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Aug 2, 2018 - Python
Different hyperparameter optimization methods to get best performance for your Machine Learning Models
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Updated
Oct 4, 2020 - Jupyter Notebook
franneck94
commented
Nov 28, 2020
System information
OS Platform and Distribution: All
TensorFlow version: 2.3
Python version: 3.8
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
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
reinforcement-learning
numpy
reinforcement-learning-algorithms
random-search
pybullet
ars
humanoid-walking
mujuco
half-cheetah
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Updated
Aug 1, 2020 - Python
Open-Source Optimization Library - Extremum
python
open-source
package
library
opensource
optimization
mathematics
numerical-methods
numerical-optimization
random-search
optimization-algorithms
nonlinear-programming
metaheuristic
heuristic-optimization
extremum
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Updated
Apr 7, 2021 - Python
Code for Quora Competition on Kaggle
python
nlp
data-science
evaluation
kaggle
dataset
levenshtein
quora
xgboost
tfidf
random-search
jaccard
tokenization
lemmatization
quora-question-pairs
quora-competition
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Updated
Jan 17, 2018 - Python
Find the optimal parameters of an algorithm using random search in R
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Updated
Apr 17, 2021 - R
Global optimization by uniform random global search
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Updated
Dec 7, 2020 - Python
This package is an automatic machine learning module whose function is to optimize the hyper-parameters of an automatic learning model.
machine-learning
deep-learning
tensorflow
multiprocessing
sklearn
python3
pytorch
gaussian-processes
random-search
automl
grid-search-hyperparameters
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Updated
Apr 25, 2021 - Python
Hyper-parameter + encoding + architecture grid/random search for keras
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Updated
Jun 30, 2017
These are Stochastic Optimization Codes by using various Techniques to optimize the function/Feature Selection
optimization
monte-carlo
genetic-algorithm
metropolis-monte-carlo
ant-colony-optimization
random-search
genetic-optimization-algorithm
simulated-annealing-algorithm
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Updated
Jun 2, 2020 - Python
Hyperparameter Optimization
bayesian-methods
hyperparameter-optimization
classification
hyperopt
gaussian-processes
bayesian-optimization
random-search
tpe
surrogate-models
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Updated
Jun 1, 2020 - Jupyter Notebook
Algorithms to solve the 0/1 Knapsack, Travelling Salesman and OneMax problems
algorithm
genetic-algorithm
local-search
simulated-annealing
greedy-algorithms
knapsack-problem
random-search
travelling-salesman-problem
onemax-problem
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Updated
Jun 21, 2017 - Java
A pure-MATLAB library of EVolutionary (population-based) OPTimization for Large-Scale black-box continuous Optimization (evopt-lso).
matlab
evolutionary-algorithms
black-box-optimization
evolutionary-computation
random-search
matlab-library
evolution-strategies
benchmark-functions
cma-es
evolutionary-computing
test-functions
large-scale-optimization
derivative-free-optimization
gradient-free-optimization
zeorth-order-optimization
direct-search
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Updated
Aug 17, 2019 - MATLAB
Search algorithm framework to find and expand trees.
javascript
search-engine
npm
library
framework
browser
module
js
es6
engine
promise
astar
maze
dijkstra
search-algorithm
breadth-first-search
depth-first-search
random-search
best-first-search
maizal
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Updated
May 21, 2019 - JavaScript
IEEE Fraud Detection with XGBoost and CatBoost
notebook
pandas
xgboost
random-search
fraud-detection
catboost
hypterparameter-optimization
fraud-detection-kaggle
bayesian-search
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Updated
Jan 10, 2021 - Jupyter Notebook
Solving n-queen problem using Python programming language
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Updated
Apr 12, 2020 - Python
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I think it would be useful to have a grid search optimizer in this package. But its implementation would probably be quite different from other ones (sklearn, ...).
The requirements are: