hyperparameter-tuning

There are 38 repositories under hyperparameter-tuning topic.

nni
microsoft / nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
automl deep-learning neural-architecture-search hyperparameter-optimization distributed bayesian-optimization automated-machine-learning machine-learning machine-learning-algorithms data-science tensorflow pytorch neural-network deep-neural-network model-compression feature-engineering nas python hyperparameter-tuning mlops
Language:Python 13785
wandb
wandb / wandb
🔥 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 jax keras machine-learning ml-platform mlops model-versioning pytorch reinforcement-learning reproducibility tensorflow
Language:Python 8296
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 7419
skypilot-org / skypilot
SkyPilot: Run LLMs, AI, and Batch jobs on any cloud. Get maximum savings, highest GPU availability, and managed execution—all with a simple interface.
cloud-computing cloud-management cost-management cost-optimization data-science deep-learning distributed-training finops gpu hyperparameter-tuning job-queue job-scheduler llm-serving llm-training machine-learning ml-infrastructure ml-platform multicloud spot-instances tpu
Language:Python 5717
determined
determined-ai / determined
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
deep-learning machine-learning ml-platform ml-infrastructure hyperparameter-optimization hyperparameter-search distributed-training pytorch tensorflow hyperparameter-tuning kubernetes data-science mlops keras
Language:Go 2872
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 2726
amanchadha / coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
deep-learning coursera coursera-assignment coursera-specialization coursera-machine-learning andrew-ng andrew-ng-course convolutional-neural-networks cnns recurrent-neural-networks rnns convolutional-neural-network recurrent-neural-network hyperparameter-optimization hyperparameter-tuning neural-network neural-networks neural-machine-translation neural-style-transfer regularization
Language:Jupyter Notebook 2715
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.
rl reinforcement-learning stable-baselines openai gym pybullet hyperparameter-optimization hyperparameter-tuning hyperparameter-search optimization sde robotics lab pybullet-environments tuning-hyperparameters deep-reinforcement-learning pytorch
Language:Python 1796
kubeflow / katib
Automated Machine Learning on Kubernetes
ai automl huggingface hyperparameter-tuning jax kubeflow kubernetes llm machine-learning mlops neural-architecture-search pytorch scikit-learn tensorflow
Language:Go 1431
LiYangHart / Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
hyperparameter-optimization machine-learning-algorithms hyperparameter-tuning machine-learning tuning-parameters grid-search random-search optimization hpo bayesian-optimization genetic-algorithm particle-swarm-optimization hyperband random-forest knn svm python-examples python-samples deep-learning artificial-neural-networks
Language:Jupyter Notebook 1255
google / vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
vizier hyperparameter-optimization tuning tuning-parameters blackbox-optimization hyperparameter-tuning bayesian-optimization evolutionary-algorithms distributed-systems distributed-computing grpc open-source google algorithm deep-learning machine-learning optimization
Language:Python 1174
rl-baselines-zoo
araffin / rl-baselines-zoo
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
gym hyperparameter-optimization hyperparameter-search hyperparameter-tuning hyperparameters openai openai-gym optimization pybullet reinforcement-learning rl stable-baselines zoo
Language:Python 1113
SMAC3
automl / SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
bayesian-optimization bayesian-optimisation hyperparameter-optimization hyperparameter-tuning hyperparameter-search configuration algorithm-configuration automl automated-machine-learning random-forest gaussian-process
Language:Python 1014
evalml
alteryx / evalml
EvalML is an AutoML library written in python.
automl machine-learning data-science model-selection hyperparameter-tuning optimization feature-engineering feature-selection
Language:Python 713
onepanelio / onepanel
The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.
deeplearning pipelines machinelearning jupyterlab tensorflow pytorch tensorboard computer-vision mlops workflows aiops annotation hyperparameter-tuning inference training labeling ai etl
Language:Go 705
hyperparameter_hunter
HunterMcGushion / hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
artificial-intelligence machine-learning hyperparameter-optimization hyperparameter-tuning neural-network keras scikit-learn xgboost lightgbm catboost deep-learning data-science python rgf sklearn optimization experimentation feature-engineering ai ml
Language:Python 702
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 688
Western-OC2-Lab / AutoML-Implementation-for-Static-and-Dynamic-Data-Analytics
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
automated-machine-learning automl concept-drift data-preprocessing data-stream-processing data-streams deep-learning feature-engineering hyperparameter-tuning intrusion-detection-system iot iot-data-analytics machine-learning model-selection python-examples python-samples
Language:Jupyter Notebook 611
Neuraxle
Neuraxio / Neuraxle
The world's cleanest AutoML library ✨ - 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 libraries, frameworks and MLOps environments.
pipeline pipeline-framework machine-learning deep-learning framework python-library hyperparameter-optimization hyperparameter-tuning hyperparameter-search hyperparameters scikit-learn parallel neuraxle
Language:Python 597
zygmuntz / hyperband
Tuning hyperparams fast with Hyperband
gradient-boosting gradient-boosting-classifier hyperparameter-optimization hyperparameter-tuning hyperparameters machine-learning
Language:Python 588
AgileRL
AgileRL / AgileRL
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.
reinforcement-learning deep-reinforcement-learning deep-learning rlops evolutionary-algorithms machine-learning pytorch gym hpo python training mlops hyperparameter-optimization hyperparameter-tuning agilerl multi-agent multi-agent-reinforcement-learning pettingzoo automl distributed
Language:Python 498
facet
BCG-X-Official / facet
Human-explainable AI.
data-analytics data-science explainable-ai hyperparameter-tuning interpretability machine-learning model-selection python shap-vector-decomposition simulation statistics
Language:Jupyter Notebook 497
ray-project / tune-sklearn
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
automl bayesian-optimization gridsearchcv hyperparameter-tuning scikit-learn
Language:Python 464
awslabs / syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
hyperparameter-optimization machine-learning multi-objective-optimization hyperparameter-tuning bayesian-optimization sagemaker neural-architecture-search
Language:Python 366
WarBean / hyperboard
A web-based dashboard for Deep Learning
deep-learning visualization dashboard training-curves hyperparameter-tuning
Language:JavaScript 338
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 329
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 321
ARM-software / mango
Parallel Hyperparameter Tuning in Python
hyperparameter-optimization blackbox-optimization hyperparameter-tuning parallel-computing machine-learning tuning-parameters sklearn-compatible scipy-compatible tensorflow-examples keras-examples pytorch-compatible bayesian-optimization gaussian-processes kubernetes-deployment cluster-deployment production-system neural-network neural-networks
Language:Jupyter Notebook 313
awslabs / adatune
Gradient based Hyperparameter Tuning library in PyTorch
automl deep-learning hyperparameter-tuning learning-rate-scheduling machine-learning neural-networks pytorch
Language:Python 289
ppant / deeplearning.ai-notes
These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.
deep-learning machine-learning programming deep-learning-tutorial neural-networks hyperparameter-tuning optimization
Language:Jupyter Notebook 280
awslabs / Renate
Library for automatic retraining and continual learning
aws continual-learning machine-learning machine-learning-algorithms neural neural-network pytorch pytorch-lightning sagemaker hyperparameter-tuning hyperparameters-optimization
Language:Python 265
DataCanvasIO / Hypernets
A General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
neural-architecture-search hyperparameter-optimization hyperparameter-tuning evolutionary-algorithms monte-carlo-tree-search automl autodl reinforcement-learning mcts nas keras nasnet enas
Language:Python 261
lettergram / sentence-classification
Sentence Classifications with Neural Networks
sentence-classification hyperparameter-tuning fasttext cnn rnn neural-network
Language:Python 235
jsingh811 / pyAudioProcessing
Audio feature extraction and classification
audio-data audio-files chroma-features classifier classifier-options classify classify-audio classify-audio-samples feature-extraction gfcc gfcc-extractor gfcc-features hyperparameter-tuning mfcc mfcc-extractor mfcc-features pyaudioprocessing spectral-features wav-files
Language:Python 213
Alex-Lekov / AutoML_Alex
State-of-the art Automated Machine Learning python library for Tabular Data
automl auto-ml optimisation ml cross-validation xgboost stacking stacking-ensemble hyperparameter-optimization hyperparameter-tuning sklearn python machine-learning machine-learning-library machine-learning-models data-science data-science-projects model-selection automatic-machine-learning
Language:Python 208
LGE-ARC-AdvancedAI / auptimizer
An automatic ML model optimization tool.
hyperparameter-optimization hpo hyperparameter-tuning deep-learning automl automated-machine-learning machine-learning neural-networks data-science data-engineering
Language:Python 199