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Search results for optimization hyperparameter tuning
hyperparameter-tuning
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optimization
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35 search results found
Scikit Optimize
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2,700
Sequential model-based optimization with a `scipy.optimize` interface
Rl Baselines3 Zoo
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1,640
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Talos
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1,596
Hyperparameter Optimization for TensorFlow, Keras and PyTorch
Vizier
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1,142
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Rl Baselines Zoo
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1,025
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Hyperparameter Optimization Of Machine Learning Algorithms
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1,025
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
Evalml
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679
EvalML is an AutoML library written in python.
Hyperparameter_hunter
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635
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Optunity
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343
optimization routines for hyperparameter tuning
Sherpa
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294
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
Deeplearning.ai Notes
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271
These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
Auptimizer
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195
An automatic ML model optimization tool.
Adatune
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144
Gradient based Hyperparameter Tuning library in PyTorch
Pyxab
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135
PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms
Maggy
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88
Distribution transparent Machine Learning experiments on Apache Spark
Bbopt
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73
Black box hyperparameter optimization made easy.
Ds Ml Public
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49
Python Scripts and Jupyter Notebooks
Mlr3tuning
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46
Hyperparameter optimization package of the mlr3 ecosystem
Edaspy
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30
Estimation of Distribution algorithms Python package
Spotz
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29
Spark Parameter Optimization and Tuning
Propulate
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24
Propulate is an asynchronous evolutionary optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.
Mlr3mbo
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23
Flexible Bayesian Optimization in R
Lipo
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20
Global, derivative-free optimization for hyperparameter tuning
Bbotk
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18
Black-box optimization framework for R.
Mlr3hyperband
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17
Successive Halving and Hyperband in the mlr3 ecosystem
Studio
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14
GUI for Keras and TensorFlow with integrated hyperparameter optimization and NLP
Hyperparameters Optimization
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14
Hyperparameters-Optimization
Hypertune
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12
Hyperparameter tuning using Particle Swarm Optimization and parallel computation which outperforms current approaches. V0.1 Beta
Exp
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11
python experiment management toolset
Hypernomad
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10
A library for the hyperparameter optimization of deep neural networks
Automl Resources
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8
A list of resources, papers, and articles on AutoML, Automatic Hyperparameter Tuning, and Neural Architecture Search.
Deep Learning Specialization
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8
This repository contains the programming assignments and slides from the deep learning course from coursera offered by deeplearning.ai
Mlopt
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6
Optimization algorithms for Machine Learning problems like Hyperparameter tuning and Ensembling.
Bayesian Optimization
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5
Hptuning
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5
Machine Learning Hyper-parameter Tuning processes
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1-35 of 35 search results
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