hyperparameter-tuning

There are 27 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 feature-extraction hyperparameter-tuning
Language:Python 11627
automl / auto-sklearn
Automated Machine Learning with scikit-learn
automl scikit-learn automated-machine-learning hyperparameter-optimization hyperparameter-tuning hyperparameter-search bayesian-optimization metalearning meta-learning smac
Language:Python 6347
client
wandb / client
🔥 A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.
machine-learning experiment-track deep-learning keras tensorflow pytorch hyperparameter-search reinforcement-learning mlops data-science collaboration hyperparameter-optimization reproducibility hyperparameter-tuning data-versioning model-versioning ml-platform
Language:Python 3989
scikit-optimize / scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
bayesian-optimization bayesopt binder hacktoberfest hyperparameter hyperparameter-optimization hyperparameter-search hyperparameter-tuning machine-learning optimization scientific-computing scientific-visualization scikit-learn sequential-recommendation visualization
Language:Python 2355
microsoft / forecasting
Time Series Forecasting Best Practices & Examples
artificial-intelligence automl azure-ml best-practices deep-learning demand-forecasting dilated-cnn forecasting hyperparameter-tuning jupyter-notebook lightgbm machine-learning model-deployment prophet python r retail tidyverse time-series
Language:Python 2299
determined-ai / determined
Determined: Deep Learning Training Platform
data-science deep-learning distributed-training hyperparameter-optimization hyperparameter-search hyperparameter-tuning kubernetes machine-learning ml-infrastructure ml-platform mlops pytorch tensorflow
Language:Python 1740
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 1246
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 1009
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 947
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
Language:Python 765
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
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 690
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 605
zygmuntz / hyperband
Tuning hyperparams fast with Hyperband
gradient-boosting gradient-boosting-classifier hyperparameter-optimization hyperparameter-tuning hyperparameters machine-learning
Language:Python 570
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 524
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 507
facet
BCG-Gamma / facet
Human-explainable AI.
data-science machine-learning python data-analytics model-selection hyperparameter-tuning interpretability explainable-ai shap-vector-decomposition statistics simulation
Language:Jupyter Notebook 389
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 388
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 379
WarBean / hyperboard
A web-based dashboard for Deep Learning
dashboard deep-learning hyperparameter-tuning training-curves visualization
Language:JavaScript 333
sherpa
sherpa-ai / sherpa
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
bayesian-optimization deep-learning hyperparameter-grid hyperparameter-optimization hyperparameter-search hyperparameter-tuning keras machine-learning machine-learning-library
Language:JavaScript 311
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 277
awslabs / adatune
Gradient based Hyperparameter Tuning library in PyTorch
deep-learning pytorch automl hyperparameter-tuning learning-rate-scheduling machine-learning neural-networks
Language:Python 262
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 258
lettergram / sentence-classification
Sentence Classifications with Neural Networks
sentence-classification hyperparameter-tuning fasttext cnn rnn neural-network
Language:Python 215
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 201
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 186
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 153
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 153
jsingh811 / pyAudioProcessing
Audio feature extraction and classification
audio-data feature-extraction classify classify-audio mfcc mfcc-features mfcc-extractor gfcc gfcc-features gfcc-extractor spectral-features chroma-features classifier-options classify-audio-samples wav-files classifier audio-files hyperparameter-tuning pyaudioprocessing
Language:Python 152
NVIDIA / Milano
Milano is a tool for automating hyper-parameters search for your models on a backend of your choice.
automl deep-learning deep-neural-networks hyperparameter-optimization hyperparameter-tuning machine-learning
Language:Python 145
Mattdl / CLsurvey
Continual Hyperparameter Selection Framework. Compares 11 state-of-the-art Lifelong Learning methods and 4 baselines. Official Codebase of "A continual learning survey: Defying forgetting in classification tasks." in IEEE TPAMI.
continual-learning tpami defy-forgetting classification-tasks deep-learning neural-networks framework hyperparameter-tuning inaturalist tinyimagenet icarl synaptic-intelligence gradient-episodic-memory packnet hat memory-aware-synapses elastic-weight-consolidation incremental-learning incremental-moment-matching
Language:Python 129
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 125
awslabs / syne-tune
Large scale and asynchronous Hyperparameter Optimization at your fingertip.
hyperparameter-optimization machine-learning multi-objective-optimization hyperparameter-tuning bayesian-optimization sagemaker neural-architecture-search
Language:Python 122
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.
hyperopt hyperparameter-optimization hyperparameter-tuning hyperparameters-optimization hyperparameter-search keras cnn cnn-keras tensorflow
Language:Python 102
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 81

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