hyperparameter-search

There are 9 repositories under hyperparameter-search topic.

ray-project / ray
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
automl data-science deep-learning deployment distributed hyperparameter-optimization hyperparameter-search java machine-learning model-selection optimization parallel python pytorch ray reinforcement-learning rllib serving tensorflow
Language:Python 21184
automl / auto-sklearn
Automated Machine Learning with scikit-learn
automated-machine-learning automl bayesian-optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning meta-learning metalearning scikit-learn smac
Language:Python 6368
client
wandb / client
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
collaboration data-science data-versioning deep-learning experiment-track hyperparameter-optimization hyperparameter-search hyperparameter-tuning keras machine-learning ml-platform mlops model-versioning pytorch reinforcement-learning reproducibility tensorflow
Language:Python 4017
scikit-optimize / scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
bayesopt optimization scientific-computing machine-learning hyperparameter bayesian-optimization binder scikit-learn hyperparameter-optimization hyperparameter-tuning hyperparameter-search sequential-recommendation hacktoberfest scientific-visualization visualization
Language:Python 2358
determined-ai / determined
Determined: Deep Learning Training Platform
deep-learning machine-learning ml-platform ml-infrastructure hyperparameter-optimization hyperparameter-search distributed-training pytorch tensorflow hyperparameter-tuning kubernetes data-science mlops
Language:Python 1744
rl-baselines-zoo
araffin / rl-baselines-zoo
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
rl zoo reinforcement-learning stable-baselines openai-gym openai gym pybullet hyperparameters optimization hyperparameter-optimization hyperparameter-search hyperparameter-tuning
Language:Python 1011
PaddlePaddle / PaddleSlim
PaddleSlim is an open-source library for deep model compression and architecture search.
model-compression neural-architecture-search knowledge-distillation pruning quantization nas hyperparameter-search autodl
Language:Python 928
rl-baselines3-zoo
DLR-RM / rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
gym hyperparameter-optimization hyperparameter-search hyperparameter-tuning lab openai optimization pybullet pybullet-environments reinforcement-learning rl robotics sde stable-baselines tuning-hyperparameters
Language:Python 775
SMAC3
automl / SMAC3
Sequential Model-based Algorithm Configuration
bayesian-optimization bayesian-optimisation hyperparameter-optimization hyperparameter-tuning hyperparameter-search configuration algorithm-configuration automl automated-machine-learning random-forest gaussian-process
Language:Python 704
Neuraxle
Neuraxio / Neuraxle
The world's cleanest AutoML framework ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other frameworks and cloud environments.
pipeline pipeline-framework machine-learning deep-learning framework python-library hyperparameter-optimization hyperparameter-tuning hyperparameter-search hyperparameters scikit-learn parallel neuraxle
Language:Python 527
OCTIS
MIND-Lab / OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
topic-modeling latent-dirichlet-allocation latent-semantic-analysis evaluation-metrics natural-language-processing non-negative-matrix-factorization neural-topic-models bayesian-optimization hyperparameter-optimization hyperparameter-tuning hyperparameter-search topic-models nlp nlproc nlp-library
Language:Python 384
sherpa
sherpa-ai / sherpa
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
hyperparameter-optimization deep-learning bayesian-optimization keras hyperparameter-tuning hyperparameter-search hyperparameter-grid machine-learning machine-learning-library
Language:JavaScript 311
IBM / lale
Library for Semi-Automated Data Science
artificial-intelligence automated-machine-learning automl data-science dataquality hyperparameter-optimization hyperparameter-search hyperparameter-tuning ibm-research ibm-research-ai interoperability machine-learning pipeline-testing pipeline-tests python scikit-learn
Language:Python 260
deephyper / deephyper
DeepHyper: Scalable Asynchronous Neural Architecture and Hyperparameter Search for Deep Neural Networks
hyperparameter-search automl scalability supercomputers neural-architecture-search deep-neural-networks hyperparameter-optimization autodl neural-networks python ml tensorflow keras
Language:Python 193
MattKleinsmith / pbt
Population Based Training (in PyTorch with sqlite3). Status: Unsupported
pbt hyperparameters population-based-training deep-learning hyperparameter-optimization hyperparameter-tuning hyperparameter-search deepmind
Language:Python 154
guillaume-chevalier / Hyperopt-Keras-CNN-CIFAR-100
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
cnn cnn-keras hyperopt hyperparameter-optimization hyperparameter-search hyperparameter-tuning hyperparameters-optimization keras tensorflow
Language:Python 102
vthorey / benderopt
Black-box optimization library
hyperparameter-search mlops optimization automl machine-learning deep-learning
Language:Jupyter Notebook 85
logicalclocks / maggy
Distribution transparent Machine Learning experiments on Apache Spark
hyperparameter-optimization hyperparameter-search automl ablation spark hyperparameter-tuning blackbox-optimization ablation-studies ablation-study
Language:Python 80
rmccorm4 / Tiny-Imagenet-200
🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.
imagenet tiny-imagenet200 tiny-imagenet convolutional-neural-networks anaconda hyperparameter-search python
Language:Python 68
ChristophAlt / tuna
Hyperparameter search for AllenNLP - powered by Ray TUNE
ray allennlp tuna hyperparameter-search hyperparameter-tuning
Language:Python 25
ksachdeva / scikit-nni
AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI
automl nni neural-network-intelligence sklearn sklearn-library scikit-learn scikit-learn-api tool hyperparameter-search hyperparameters
Language:Python 21
ISG-Siegen / Auto-Surprise
An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning :rocket:
hyperopt hyperparameter-tuning automl recommender-system surprise machine-learning hyperparameter-search automated-machine-learning tpe
Language:Python 19
ahundt / sharpDARTS
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
architecture-search cifar10 computer-vision cosine-annealing cosine-power-annealing deep-learning differentiable-hyperparamter-search hyperparameter-optimization hyperparameter-search hyperparameter-tuning imagenet learning-rate learning-rate-scheduling nas neural-architecture-search neural-networks power-cosine-annealing pytorch sota state-of-the-art
Language:Python 11
floydhub / hyperparameters-search-examples
Code examples for https://blog.floydhub.com/guide-to-hyperparameters-search-for-deep-learning-models/
artificial-intelligence deep-learning hyperas hyperparameter-search keras machine-learning scikit-learn
Language:Jupyter Notebook 11
hyeonsangjeon / Hyperparameters-Optimization
Hyperparameters-Optimization
hyperparameter-optimization hyperparameter-tuning hpo optimization tpe hyperparameter hyperparameter-search gridsearchcv randomsearchcv hyperbandsearchcv bayessearchcv fmin grid-search random-search hyperband bayesian-optimization tree-structured tree-of-parzen-estimator
Language:Jupyter Notebook 10
jonzia / NeuralNetStudio
Platform + GUI for hyperparameter optimization of recurrent neural networks (MATLAB).
gui hyperparameter-optimization hyperparameter-search hyperparameter-tuning matlab neural-network-architectures parallel-processing recurrent-networks rnn
Language:MATLAB 8
ihamdi / Covid-xRay-Classification
Using Pytorch Lightning and Torchxrayvision's Pretrained Densenet121 Models
pytorch pytorch-lightning python densenet121 chest-xray-images chest-xrays pneumonia-detection pneumonia pneumonia-classification pneumonia-detector pneumoniac-xray covid-19 covid covid19 hydra optuna hyperparameter-optimization hyperparameter-search
Language:Python 6
rtflynn / NLP-Sentiment
Sentiment analysis for amazon product reviews using NLTK, Scikit-Learn, and Keras. Using hyperparameter search and LSTM, our best model achieves ~96% accuracy.
bag-of-words binary-classification hyperparameter-search keras lstm machine-learning natural-language-processing nltk scikit-learn sentiment-analysis sequence-models tokenize
Language:Python 5
DrMatters / hyperoptsearchcv
sklearn wrapper for Hyperopt
hyperopt hyperparameter-search sklearn scikit-learn
Language:Python 4
falcondai / coach
hyperparameter search for machine learning
hyperparameter-search cli machine-learning parallel
Language:Python 4
imoneoi / xrl-script
Efficient AutoRL script for any framework
auto-ml reinforcement-learning deep-reinforcement-learning parallel distributed hyperparameter-optimization hyperparameter-search
Language:Python 4
Senmumu / ray_project_doc
ray project 中文文档
ray distributed parallel machine-learning reinforcement-learning deep-learning python rllib hyperparameter-search optimization data-science automl hyperparameter-optimization model-selection java
Language:Python 4
jeffkinnison / pyrameter
Structure, sample, and savor hyperparameter searches.
machine-learning hyperparameter-optimization hyperparameter-search bayesian-optimization deep-learning
Language:Python 3
lovpatel93 / PIMA_Indian_Diabetes_DataSet
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
pairplot histogram random-forest-classifier hyperparameter-search randomized-search evaluation-metrics adaboost svc-svm feature-selection feature-importance
Language:Jupyter Notebook 3
martin-stoyanov / hyperparameters-site
hyperparameters is a Javascript library for hyperparameter optimization.
tensorflowjs hyperparameter-optimization hyperparameter-search javascript hyperparameter-tuning tfjs deep-learning nextjs grommet
Language:JavaScript 3
senadkurtisi / ml-tracking-ops
MLOps Python library/platform for tracking machine learning projects
mlops machinelearing datascience hyperparameter-search
Language:JavaScript 2

ezoic increase your site revenue