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hyperparameters

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tobegit3hub /advisor

Open-source implementation of Google Vizier for hyper parameters tuning

algorithm optimization ml hyperparameters tunning dl blackbox automl

UpdatedNov 11, 2019
Jupyter Notebook

rl-baselines-zoo

araffin /rl-baselines-zoo

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

UpdatedOct 17, 2022
Python

MaurizioFD /RecSys2019_DeepLearning_Evaluation

This is the repository of our article published in RecSys 2019 "Are We Really Making Much Progress? A Worrying Analysis of Recent Neural Recommendation Approaches" and of several follow-up studies.

deep-learning neural-network reproducible-research collaborative-filtering matrix-factorization hyperparameters bpr recommendation-system recommender-system reproducibility recommendation-algorithms knn matrix-completion evaluation-framework content-based-recommendation hybrid-recommender-system funksvd bprmf bprslim slimelasticnet

UpdatedMay 25, 2023
Python

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 enviro…

machine-learning framework deep-learning pipeline scikit-learn python-library parallel pipeline-framework hyperparameters hyperparameter-optimization hyperparameter-tuning hyperparameter-search neuraxle

UpdatedMay 4, 2025
Python

zygmuntz /hyperband

Tuning hyperparams fast with Hyperband

machine-learning hyperparameters hyperparameter-optimization hyperparameter-tuning gradient-boosting-classifier gradient-boosting

UpdatedAug 15, 2018
Python

rodrigo-arenas /Sklearn-genetic-opt

ML hyperparameters tuning and features selection, using evolutionary algorithms.

python machine-learning scikit-learn sklearn feature-selection artificial-intelligence hyperparameters model-selection hyperparameter-optimization evolutionary-algorithms help-wanted looking-for-contributors up-for-grabs automl deap contributions-welcome good-first-issue goodfirstissue begginer-friendly featureselection

UpdatedSep 13, 2025
Python

gyrdym /ml_algo

Machine learning algorithms in Dart programming language

dart classifier data-science machine-learning algorithm linear-regression machine-learning-algorithms regression hyperparameters sgd logistic-regression softmax-regression dartlang stochastic-gradient-descent softmax lasso-regression batch-gradient-descent mini-batch-gradient-descent softmax-classifier softmax-algorithm

UpdatedJul 7, 2025
Dart

MattKleinsmith /pbt

Population Based Training (in PyTorch with sqlite3). Status: Unsupported

deep-learning hyperparameters hyperparameter-optimization deepmind hyperparameter-tuning pbt hyperparameter-search population-based-training

UpdatedJan 31, 2018
Python

openmole /openmole

Workflow engine for exploration of simulation models using high throughput computing

workflow scala grid workflow-engine distributed-computing hyperparameters scientific-computing parameter-estimation modeling-tool parameter-search egi parameter-tuning dirac

UpdatedOct 13, 2025
Scala

HParams

PetrochukM /HParams

Configure Python functions explicitly and safely

python machine-learning deep-learning configuration python3 hyperparameters

UpdatedNov 18, 2024
Python

MLBazaar /MLBlocks

A library for composing end-to-end tunable machine learning pipelines.

machine-learning pipelines primitives hyperparameters

UpdatedFeb 2, 2025
Python

seba-1511 /randopt

Streamlined machine learning experiment management.

visualization hyperparameters hyperparameter-optimization experiments

UpdatedApr 27, 2020
HTML

clintonreece /keras-cloud-ml-engine

Adventures using keras on Google's Cloud ML Engine

keras google-cloud hyperparameters mnist

UpdatedMay 18, 2017
Python

joydeepmedhi /Anchor-Boxes-with-KMeans

How to initialize Anchors in Faster RCNN for custom dataset?

python computer-vision aspect-ratio detection hyperparameters anchor faster-rcnn object-detection kmeans clusters distance-metric bounding-boxes tensorflow-models iou custom-dataset anchor-box

UpdatedAug 18, 2020
Jupyter Notebook

DeepCAVE

automl /DeepCAVE

An interactive framework to visualize and analyze your AutoML process in real-time.

visualization real-time analysis interactive hyperparameters automl sampling-bias iml hyperparameter-importance

UpdatedOct 13, 2025
Python

KennethanCeyer /awesome-llm

Awesome series for Large Language Model(LLM)s

nlp machine-learning natural-language-processing awesome ai ml hyperparameters openai awesome-list gpt bert bard t5 gpt3 large-language-models llm chatgpt

UpdatedMar 17, 2025

openmole /mgo

Purely functional genetic algorithms for multi-objective optimisation

scala functional-programming genetic-algorithm hyperparameters hyperparameter-optimization hyperparameter-tuning optimisation parameter-tuning

UpdatedOct 10, 2025
Scala

atanasster /hyperparameters

ES6 hyperparameters search for tfjs

javascript es6 tensorflow hyperparameters hyperopt tensorflowjs tfjs

UpdatedSep 18, 2020
JavaScript

KSpiliop /Fraud_Detection

Tuning XGBoost hyper-parameters with Simulated Annealing

hyperparameters tuning xgboost fraud-detection xgboost-parameters xgboost-algorithm

UpdatedApr 26, 2017
Jupyter Notebook

guybedo /minos

Deep learning, architecture and hyper parameters search with genetic algorithms

python deep-learning tensorflow genetic-algorithm hyperparameters keras-models

UpdatedAug 2, 2024
Python

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