#
hyperparameter-search
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eddiebergman
commented
Jul 29, 2021
Building the doc fails for example 40_advanced/example_single_configurations
on the current development branch
...
generating gallery for examples/40_advanced... [ 50%] example_debug_logging.py
Warning, treated as error:
/home/runner/work/auto-sklearn/auto-sklearn/examples/40_advanced/example_single_configu
machine-learning
reinforcement-learning
deep-learning
tensorflow
keras
pytorch
hyperparameter-search
experiment-track
-
Updated
Aug 5, 2021 - Python
Determined: Deep Learning Training Platform
kubernetes
machine-learning
deep-learning
tensorflow
pytorch
hyperparameter-optimization
hyperparameter-tuning
hyperparameter-search
distributed-training
ml-infrastructure
ml-platform
-
Updated
Aug 5, 2021 - 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
Feb 6, 2021 - Python
PaddleSlim is an open-source library for deep model compression and architecture search.
pruning
quantization
nas
knowledge-distillation
evolution-strategy
model-compression
neural-architecture-search
hyperparameter-search
autodl
-
Updated
Aug 5, 2021 - 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 5, 2021 - Python
guillaume-chevalier
commented
Jun 28, 2021
Describe the bug
Code could be more conform to pep8 and so forth.
Expected behavior
Less code st
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
-
Updated
Oct 18, 2020 - JavaScript
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
reinforcement-learning
robotics
optimization
lab
openai
gym
hyperparameter-optimization
rl
sde
hyperparameter-tuning
hyperparameter-search
pybullet
stable-baselines
pybullet-environments
tuning-hyperparameters
-
Updated
Aug 4, 2021 - 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 5, 2021 - Python
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
natural-language-processing
hyperparameter-optimization
topic-modeling
bayesian-optimization
hyperparameter-tuning
latent-dirichlet-allocation
evaluation-metrics
neural-topic-models
latent-semantic-analysis
topic-models
hyperparameter-search
non-negative-matrix-factorization
-
Updated
Jul 29, 2021 - 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
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
python
deep-neural-networks
tensorflow
scalability
keras
ml
neural-networks
hyperparameter-optimization
supercomputers
automl
neural-architecture-search
hyperparameter-search
autodl
-
Updated
Aug 4, 2021 - 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
Distribution transparent Machine Learning experiments on Apache Spark
spark
hyperparameter-optimization
hyperparameter-tuning
automl
hyperparameter-search
blackbox-optimization
ablation
ablation-studies
ablation-study
-
Updated
Jun 21, 2021 - Python
python
anaconda
imagenet
convolutional-neural-networks
hyperparameter-search
tiny-imagenet200
tiny-imagenet
-
Updated
Apr 12, 2019 - Python
Hyperparameter search for AllenNLP - powered by Ray TUNE
-
Updated
Oct 7, 2019 - Python
AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI
tool
scikit-learn
sklearn
hyperparameters
automl
scikit-learn-api
hyperparameter-search
sklearn-library
nni
neural-network-intelligence
-
Updated
Jun 2, 2021 - Python
An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning 🚀
machine-learning
recommender-system
hyperopt
hyperparameter-tuning
automl
automated-machine-learning
hyperparameter-search
surprise
tpe
-
Updated
Jun 5, 2021 - Python
machine-learning
deep-learning
scikit-learn
keras
artificial-intelligence
hyperparameter-search
hyperas
-
Updated
May 13, 2019 - Jupyter Notebook
Platform + GUI for hyperparameter optimization of recurrent neural networks (MATLAB).
gui
matlab
recurrent-networks
hyperparameter-optimization
rnn
hyperparameter-tuning
parallel-processing
hyperparameter-search
neural-network-architectures
-
Updated
Feb 6, 2018 - MATLAB
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
-
Updated
Nov 16, 2020 - Jupyter Notebook
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
computer-vision
deep-learning
pytorch
neural-networks
hyperparameter-optimization
imagenet
nas
hyperparameter-tuning
learning-rate
cifar10
sota
neural-architecture-search
hyperparameter-search
state-of-the-art
architecture-search
cosine-annealing
learning-rate-scheduling
differentiable-hyperparamter-search
cosine-power-annealing
power-cosine-annealing
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Updated
Feb 7, 2021 - Python
sklearn wrapper for Hyperopt
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Updated
Oct 9, 2019 - Python
hyperparameter search for machine learning
-
Updated
Oct 31, 2017 - Python
Sentiment analysis for amazon product reviews using NLTK, Scikit-Learn, and Keras. Using hyperparameter search and LSTM, our best model achieves ~96% accuracy.
machine-learning
natural-language-processing
sentiment-analysis
scikit-learn
keras
lstm
nltk
bag-of-words
binary-classification
tokenize
sequence-models
hyperparameter-search
-
Updated
Sep 24, 2019 - Python
The objective of the dataset is to diagnostically predict whether or not a patient has diabetes, based on certain diagnostic measurements included in the dataset
histogram
feature-selection
adaboost
evaluation-metrics
hyperparameter-search
feature-importance
random-forest-classifier
pairplot
randomized-search
svc-svm
-
Updated
Feb 22, 2019 - Jupyter Notebook
ray project 中文文档
python
java
data-science
machine-learning
reinforcement-learning
deep-learning
optimization
parallel
distributed
model-selection
hyperparameter-optimization
ray
automl
hyperparameter-search
rllib
-
Updated
Sep 6, 2019 - Python
hyperparameters is a Javascript library for hyperparameter optimization.
javascript
grommet
deep-learning
nextjs
hyperparameter-optimization
hyperparameter-tuning
hyperparameter-search
tensorflowjs
tfjs
-
Updated
Mar 31, 2020 - JavaScript
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Apache Arrow has a first-class tabular file format, Feather, that the Ray Datasets IO layer should support. Combined with Ray Datasets' existing
.from_arrow()
and.to_arrow()
APIs, this would round out our "all-Arrow" experience, which should be as nice as possible given our "distributed Arrow dataset" positioning.Implementation Note