hyperparameter-tuning

There are 42 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 14290
wandb
wandb / wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
ai 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 10518
skypilot-org / skypilot
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 17+ clouds, or on-prem).
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 8931
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 7993
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
andrew-ng andrew-ng-course cnns convolutional-neural-network convolutional-neural-networks coursera coursera-assignment coursera-machine-learning coursera-specialization deep-learning hyperparameter-optimization hyperparameter-tuning neural-machine-translation neural-network neural-networks neural-style-transfer recurrent-neural-network recurrent-neural-networks regularization rnns
Language:Jupyter Notebook 4053
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.
data-science deep-learning distributed-training hyperparameter-optimization hyperparameter-search hyperparameter-tuning keras kubernetes machine-learning ml-infrastructure ml-platform mlops pytorch tensorflow
Language:Go 3194
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 2800
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.
deep-reinforcement-learning gym hyperparameter-optimization hyperparameter-search hyperparameter-tuning lab openai optimization pybullet pybullet-environments pytorch reinforcement-learning rl robotics sde stable-baselines tuning-hyperparameters
Language:Python 2609
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:Python 1637
google / vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
algorithm bayesian-optimization blackbox-optimization deep-learning distributed-computing distributed-systems evolutionary-algorithms google grpc hyperparameter-optimization hyperparameter-tuning machine-learning open-source optimization tuning tuning-parameters vizier
Language:Python 1608
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 random-forest python-examples python-samples deep-learning artificial-neural-networks machine-learning-optimization automl automated-machine-learning
Language:Jupyter Notebook 1314
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 1202
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 1189
AgileRL
AgileRL / AgileRL
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
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 841
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 832
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 789
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 732
hyperparameter_hunter
HunterMcGushion / hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
ai artificial-intelligence catboost data-science deep-learning experimentation feature-engineering hyperparameter-optimization hyperparameter-tuning keras lightgbm machine-learning ml neural-network optimization python rgf scikit-learn sklearn xgboost
Language:Python 707
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 625
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 614
zygmuntz / hyperband
Tuning hyperparams fast with Hyperband
hyperparameters hyperparameter-optimization hyperparameter-tuning gradient-boosting-classifier gradient-boosting machine-learning
Language:Python 595
facet
BCG-X-Official / 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 524
ray-project / tune-sklearn
A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.
scikit-learn hyperparameter-tuning gridsearchcv bayesian-optimization automl
Language:Python 469
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 418
syne-tune / syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
hyperparameter-optimization machine-learning multi-objective-optimization hyperparameter-tuning bayesian-optimization neural-architecture-search
Language:Python 417
IBM / lale
Library for Semi-Automated Data Science
scikit-learn automl automated-machine-learning hyperparameter-optimization hyperparameter-tuning hyperparameter-search python artificial-intelligence pipeline-tests pipeline-testing dataquality data-science machine-learning ibm-research ibm-research-ai interoperability
Language:Python 346
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 342
WarBean / hyperboard
A web-based dashboard for Deep Learning
dashboard deep-learning hyperparameter-tuning training-curves visualization
Language:JavaScript 336
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 297
awslabs / adatune
Gradient based Hyperparameter Tuning library in PyTorch
automl deep-learning hyperparameter-tuning learning-rate-scheduling machine-learning neural-networks pytorch
Language:Python 290
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 283
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 265
lettergram / sentence-classification
Sentence Classifications with Neural Networks
sentence-classification hyperparameter-tuning fasttext cnn rnn neural-network
Language:Python 237
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 236
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 227
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 204