#
hyperparameter-search
Here are 53 public repositories matching this topic...
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
Sep 9, 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
Sep 9, 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
Sep 9, 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
Sep 2, 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
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
Sep 8, 2021 - Python
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
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
-
Updated
Sep 9, 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
Sep 2, 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
Sep 8, 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
-
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
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
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
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What is the problem?
The Dashboard API to kill an actor is a GET request. This should be a POST or a DELETE since it is making state changes.