#
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
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Updated
Jun 18, 2020 - HTML
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
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Updated
Jun 17, 2020 - Python
HunterMcGushion
commented
Feb 19, 2019
- Unable to supply
validation_datato a KerasCVExperimentviamodel_extra_params[“fit”] - This is because HyperparameterHunter automatically sets
validation_datato be the OOF data produced by the cross validation scheme - I can imagine this would be unexpected behavior, so I’d love to hear any thoughts on how to clear this up
Note
- This issue (along with several others) was ori
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
armando-fandango
commented
Nov 22, 2019
Expected Results
List of cost of all configs, or run if more then one run per config
Actual Results
Don't know where it is
Versions
0.11.1
A web-based dashboard for Deep Learning
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Updated
Jun 4, 2017 - JavaScript
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
Jun 13, 2020 - JavaScript
guillaume-chevalier
commented
Feb 27, 2020
See here: https://mlflow.org/docs/latest/models.html
We'd want to add these classes:
- mlflow.neuraxle.save_model()
- mlflow.neuraxle.log_model()
- mlflow.neuraxle.load_model()
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
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Updated
May 12, 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
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Updated
Nov 7, 2018 - Python
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
Apr 29, 2020 - Python
Population Based Training (in PyTorch with sqlite3). Status: Unsupported
deep-learning
hyperparameters
hyperparameter-optimization
deepmind
hyperparameter-tuning
pbt
hyperparameter-search
population-based-training
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Updated
Jan 31, 2018 - Python
Open
Install guide
ddutta
commented
Jul 2, 2018
We need one. Either we list out a py virtualenv with dependencies or we assume a simple non distributed TF or PyTorch and have instructions
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
Jun 16, 2020 - 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
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Updated
May 6, 2018 - 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
Jun 4, 2020 - Scala
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
Jun 3, 2020 - Python
Black box hyperparameter optimization made easy.
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Updated
Feb 19, 2020 - Python
A scikit-learn compatible implementation of hyperband
machine-learning
scikit-learn
hyperparameter-optimization
hyperparameter-tuning
hyperband
algorithm-configuration
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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
Jun 11, 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
Jun 17, 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
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
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Updated
Jun 17, 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
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Updated
Apr 11, 2018 - Scala
R interface to Keras Tuner
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Updated
Jun 8, 2020 - R
Hyperparameter search for AllenNLP - powered by Ray TUNE
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Updated
Oct 7, 2019 - Python
An Interactive Approach to Understanding Deep Learning with Keras
machine-learning
tensorflow
scikit-learn
keras
cross-validation
regression
classification
artificial-neural-networks
logistic-regression
regularization
support-vector-machine
vectors
decision-trees
hyperparameter-tuning
model-evaluation
magnetic-resonance-imaging
k-means-clustering
model-tuning
scalars
linear-transformation
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Updated
Jun 3, 2020 - Jupyter Notebook
Python Scripts and Jupyter Notebooks
python
data-science
machine-learning
data-mining
news
telegram
dashboard
bitcoin
plotly
dash
web-scraping
data-visualisation
xgboost
lightgbm
data-analysis
beautifulsoup
hyperparameters-optimization
bayesian-optimization
hyperparameter-tuning
catboost
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Updated
Nov 29, 2019 - Jupyter Notebook
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i want to know whether autosklearn support multilabel task, thank you!