#
hyperparameter-tuning
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Time Series Forecasting Best Practices & Examples
python
machine-learning
r
deep-learning
time-series
best-practices
jupyter-notebook
tidyverse
artificial-intelligence
forecasting
lightgbm
retail
prophet
hyperparameter-tuning
demand-forecasting
automl
model-deployment
azure-ml
dilated-cnn
-
Updated
Aug 14, 2020 - Python
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
reinforcement-learning
optimization
openai-gym
hyperparameters
openai
gym
hyperparameter-optimization
rl
zoo
hyperparameter-tuning
hyperparameter-search
pybullet
stable-baselines
-
Updated
Aug 4, 2020 - Python
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
python
data-science
machine-learning
ai
deep-learning
neural-network
optimization
scikit-learn
sklearn
keras
ml
artificial-intelligence
xgboost
hyperparameter-optimization
experimentation
lightgbm
feature-engineering
hyperparameter-tuning
catboost
rgf
-
Updated
Jul 19, 2020 - Python
Tuning hyperparams fast with Hyperband
machine-learning
hyperparameters
hyperparameter-optimization
hyperparameter-tuning
gradient-boosting-classifier
gradient-boosting
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Updated
Aug 15, 2018 - Python
Sequential Model-based Algorithm Configuration
configuration
hyperparameter-optimization
bayesian-optimization
hyperparameter-tuning
automl
automated-machine-learning
hyperparameter-search
bayesian-optimisation
algorithm-configuration
-
Updated
Aug 26, 2020 - Python
A web-based dashboard for Deep Learning
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Updated
Jun 4, 2017 - JavaScript
guillaume-chevalier
commented
Mar 29, 2020
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
machine-learning
deep-learning
keras
hyperparameter-optimization
machine-learning-library
bayesian-optimization
hyperparameter-tuning
hyperparameter-search
hyperparameter-grid
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Updated
Aug 24, 2020 - JavaScript
Gradient based Hyperparameter Tuning library in PyTorch
machine-learning
deep-learning
pytorch
neural-networks
hyperparameter-tuning
automl
learning-rate-scheduling
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Updated
Jul 17, 2020 - Python
Implementation of many hyperparameter optimization/tuning methods for machine learning algorithms in Python (easy&clear)
machine-learning
random-forest
optimization
svm
genetic-algorithm
sklearn
machine-learning-algorithms
hyperparameter-optimization
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 12, 2020 - Jupyter Notebook
Sentence Classifications with Neural Networks
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Updated
Mar 24, 2020 - Python
An automatic ML model optimization tool.
data-science
machine-learning
deep-learning
data-engineering
neural-networks
hyperparameter-optimization
hyperparameter-tuning
hpo
automl
automated-machine-learning
-
Updated
Jul 28, 2020 - Python
Library for Semi-Automated Data Science
python
data-science
machine-learning
scikit-learn
artificial-intelligence
interoperability
hyperparameter-optimization
hyperparameter-tuning
ibm-research
automl
automated-machine-learning
dataquality
hyperparameter-search
ibm-research-ai
pipeline-tests
pipeline-testing
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Updated
Aug 27, 2020 - Python
Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
machine-learning
deep-neural-networks
deep-learning
hyperparameter-optimization
hyperparameter-tuning
automl
-
Updated
Nov 7, 2018 - Python
Population Based Training (in PyTorch with sqlite3). Status: Unsupported
deep-learning
hyperparameters
hyperparameter-optimization
deepmind
hyperparameter-tuning
pbt
hyperparameter-search
population-based-training
-
Updated
Jan 31, 2018 - Python
AutoML frAmework for Neural Networks
deep-learning
tensorflow
pytorch
neural-networks
image-classification
hyperparameter-tuning
automl
neural-architecture-search
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Updated
Nov 1, 2018 - Python
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
tensorflow
keras
cnn
hyperparameter-optimization
hyperopt
hyperparameters-optimization
hyperparameter-tuning
cnn-keras
hyperparameter-search
-
Updated
May 6, 2018 - Python
State-of-the art Automated Machine Learning python library for Tabular Data
python
data-science
machine-learning
sklearn
cross-validation
ml
model-selection
xgboost
hyperparameter-optimization
machine-learning-library
hyperparameter-tuning
optimisation
automl
stacking
auto-ml
machine-learning-models
automatic-machine-learning
data-science-projects
stacking-ensemble
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Updated
Aug 5, 2020 - Python
Purely functional genetic algorithms for multi-objective optimisation
scala
functional-programming
genetic-algorithm
hyperparameters
hyperparameter-optimization
hyperparameter-tuning
optimisation
parameter-tuning
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Updated
Aug 25, 2020 - Scala
A collection of pre-trained RL agents using Stable Baselines3, training and hyperparameter optimization included.
reinforcement-learning
robotics
optimization
openai
gym
hyperparameter-optimization
rl
sde
hyperparameter-tuning
hyperparameter-search
pybullet
stable-baselines
-
Updated
Aug 26, 2020 - Python
Black box hyperparameter optimization made easy.
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Updated
Aug 23, 2020 - Python
A scikit-learn compatible implementation of hyperband
machine-learning
scikit-learn
hyperparameter-optimization
hyperparameter-tuning
hyperband
algorithm-configuration
-
Updated
Nov 2, 2019 - Python
Parallel Hyperparameter Optimization in Python
machine-learning
parallel-computing
hyperparameter-optimization
tuning-parameters
gaussian-processes
bayesian-optimization
hyperparameter-tuning
cluster-deployment
sklearn-compatible
kubernetes-deployment
tensorflow-examples
blackbox-optimization
production-system
keras-examples
scipy-compatible
pytorch-compatible
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Updated
Aug 18, 2020 - Jupyter Notebook
Distribution transparent Machine Learning experiments on Apache Spark
spark
hyperparameter-optimization
hyperparameter-tuning
automl
hyperparameter-search
blackbox-optimization
ablation
ablation-studies
ablation-study
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Updated
Aug 25, 2020 - Python
Hyperparameter tuning for machine learning models using a distributed genetic algorithm
machine-learning
rabbitmq
genetic-algorithm
keras
cross-validation
xgboost
hyperparameter-optimization
convolutional-neural-networks
genetic-algorithms
grid-search
hyperparameter-tuning
distributed-algorithm
master-worker
gene-encoding
distributed-genetic-algorithm
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Updated
Mar 7, 2020 - Python
Spark Parameter Optimization and Tuning
machine-learning
spark
optimizer
hyperparameters
hyperparameter-optimization
machinelearning
vowpal-wabbit
grid-search
hyperparameter-tuning
random-search
optimization-algorithms
-
Updated
Apr 11, 2018 - Scala
R interface to Keras Tuner
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Updated
Aug 4, 2020 - R
Hyperparameter search for AllenNLP - powered by Ray TUNE
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Updated
Oct 7, 2019 - Python
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with the Power Transformer.