GitHub topics: hyperparameter-optimization
syne-tune/syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
Language: Python - Size: 10.7 MB - Last synced at: about 4 hours ago - Pushed at: about 6 hours ago - Stars: 410 - Forks: 56
polyaxon/cli
Polyaxon Core Client & CLI to streamline MLOps
Language: Python - Size: 4.54 MB - Last synced at: about 10 hours ago - Pushed at: about 11 hours ago - Stars: 19 - Forks: 18
autogluon/autogluon
Fast and Accurate ML in 3 Lines of Code
Language: Python - Size: 22.4 MB - Last synced at: about 13 hours ago - Pushed at: 2 days ago - Stars: 9,203 - Forks: 1,043
jolespin/clairvoyance
AutoML simultaneous bayesian hyperparameter optimization and feature selection
Language: Python - Size: 2.41 MB - Last synced at: about 19 hours ago - Pushed at: about 23 hours ago - Stars: 8 - Forks: 1
microsoft/archai
Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.
Language: Python - Size: 48.3 MB - Last synced at: 1 day ago - Pushed at: 9 months ago - Stars: 480 - Forks: 89
DLR-RM/rl-baselines3-zoo
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
Language: Python - Size: 3.82 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 2,497 - Forks: 559
microsoft/nni 📦
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
Language: Python - Size: 127 MB - Last synced at: 1 day ago - Pushed at: about 1 year ago - Stars: 14,238 - Forks: 1,822
keras-team/keras-tuner
A Hyperparameter Tuning Library for Keras
Language: Python - Size: 1.93 MB - Last synced at: 1 day ago - Pushed at: 8 months ago - Stars: 2,897 - Forks: 401
datarobot/syftr
syftr is an agent optimizer that helps you find the best agentic workflows for your budget.
Language: Python - Size: 3.05 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 291 - Forks: 20
abdulvahapmutlu/bounding-box-tuner-bbt
Adaptive Top-2 Bounding-Box Hyperparameter Tuner With median-based partial-training pruning and adaptive explore/exploit schedule.
Language: Python - Size: 36.1 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0
AgileRL/AgileRL
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
Language: Python - Size: 61.1 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 798 - Forks: 65
rick12000/confopt
A Library for Conformal Hyperparameter Tuning
Language: Python - Size: 905 KB - Last synced at: about 1 hour ago - Pushed at: about 4 hours ago - Stars: 31 - Forks: 2
telekom/mltb2
Machine Learning Toolbox 2
Language: Python - Size: 6.3 MB - Last synced at: about 22 hours ago - Pushed at: 5 days ago - Stars: 13 - Forks: 5
rodrigo-arenas/Sklearn-genetic-opt
ML hyperparameters tuning and features selection, using evolutionary algorithms.
Language: Python - Size: 124 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 343 - Forks: 84
mlr-org/bbotk
Black-box optimization framework for R.
Language: R - Size: 23.6 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 23 - Forks: 9
ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Language: Python - Size: 548 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 38,139 - Forks: 6,633
CyberAgentAILab/cmaes
Python library for CMA Evolution Strategy.
Language: Python - Size: 404 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 435 - Forks: 71
danial-hosseinpour/Machine-Learning-Projects
This repository showcases a collection of machine learning projects that I have worked on, applying various algorithms and techniques to solve real-world problems.
Language: Jupyter Notebook - Size: 10.8 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0
polyaxon/polyaxon
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Size: 121 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 3,657 - Forks: 319
autonomio/talos
Hyperparameter Experiments with TensorFlow and Keras
Language: Python - Size: 3.07 MB - Last synced at: about 12 hours ago - Pushed at: over 1 year ago - Stars: 1,638 - Forks: 267
mlr-org/mlr3tuning
Hyperparameter optimization package of the mlr3 ecosystem
Language: R - Size: 10.4 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 57 - Forks: 7
DataCanvasIO/HyperTS
A Full-Pipeline Automated Time Series (AutoTS) Analysis Toolkit.
Language: Python - Size: 7.62 MB - Last synced at: 3 days ago - Pushed at: 3 months ago - Stars: 281 - Forks: 33
wandb/wandb
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
Language: Python - Size: 175 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 10,127 - Forks: 756
EpistasisLab/tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Language: Jupyter Notebook - Size: 87.5 MB - Last synced at: 5 days ago - Pushed at: 24 days ago - Stars: 9,950 - Forks: 1,578
google/vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
Language: Python - Size: 4.74 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1,581 - Forks: 103
machinelearningnuremberg/HPO-B
[NeurIPS DBT 2021] HPO-B
Language: Python - Size: 10.9 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 34 - Forks: 10
SimonBlanke/Meta-Learn
Metalearning for Hyperparameter Optimization
Language: Python - Size: 256 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 2 - Forks: 0
Helmholtz-AI-Energy/propulate
Propulate is an asynchronous population-based optimization algorithm and software package for global optimization and hyperparameter search on high-performance computers.
Language: Python - Size: 8.08 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 39 - Forks: 8
optuna/optuna-mcp
The Optuna MCP Server is a Model Context Protocol (MCP) server to interact with Optuna APIs.
Language: Python - Size: 4.97 MB - Last synced at: 6 days ago - Pushed at: about 1 month ago - Stars: 38 - Forks: 15
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.
Language: Python - Size: 8.16 MB - Last synced at: 1 day ago - Pushed at: 3 months ago - Stars: 613 - Forks: 62
automl/SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Language: Python - Size: 155 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 1,182 - Forks: 237
HunterMcGushion/hyperparameter_hunter
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Language: Python - Size: 7.27 MB - Last synced at: 1 day ago - Pushed at: over 4 years ago - Stars: 707 - Forks: 101
hibayesian/awesome-automl-papers
A curated list of automated machine learning papers, articles, tutorials, slides and projects
Size: 16.8 MB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 4,097 - Forks: 687
d2l-ai/d2l-en
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
Language: Python - Size: 303 MB - Last synced at: 8 days ago - Pushed at: 11 months ago - Stars: 26,336 - Forks: 4,679
optuna/optuna
A hyperparameter optimization framework
Language: Python - Size: 20.3 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 12,326 - Forks: 1,136
Zheng-Meng/Reservoir-Computing-and-Hyperparameter-Optimization
Reservoir computing for short-and long-term prediction of chaotic systems, with tasks Lorenz and Mackey-Glass systems. Bayesian optimization (hyperparameter optimization algorithm) is used to tune the hyperparameters and improve the performance.
Language: MATLAB - Size: 19.4 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 23 - Forks: 0
ByUnal/AviBERT
Domain specific (Aircraft) Bert models trained on uniquely collected data.
Language: Python - Size: 39.1 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0
automl/auto-sklearn
Automated Machine Learning with scikit-learn
Language: Python - Size: 121 MB - Last synced at: 9 days ago - Pushed at: about 1 month ago - Stars: 7,890 - Forks: 1,306
optuna/optuna-dashboard
Real-time Web Dashboard for Optuna.
Language: TypeScript - Size: 16.5 MB - Last synced at: 9 days ago - Pushed at: 10 days ago - Stars: 652 - Forks: 103
Aashir01124/Neural-Network-Modifications-Hyperparameter-Experiments
Modifies a neural network's hyperparameters, activation functions, cost functions, and regularization methods to improve training performance and generalization.
Size: 1.95 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 1 - Forks: 0
ytopt-team/ytopt
ytopt: machine-learning-based autotuning and hyperparameter optimization framework using Bayesian Optimization
Language: C - Size: 25.7 MB - Last synced at: 7 days ago - Pushed at: 11 days ago - Stars: 49 - Forks: 18
Axect/pytorch_template
A flexible PyTorch template for ML experiments with configuration management, logging, and hyperparameter optimization.
Language: Python - Size: 193 KB - Last synced at: 9 days ago - Pushed at: 12 days ago - Stars: 9 - Forks: 1
scicloj/scicloj.ml
A Clojure machine learning library
Language: Clojure - Size: 5.08 MB - Last synced at: 1 day ago - Pushed at: 8 months ago - Stars: 235 - Forks: 16
plandes/datdesc
Describe and optimize data
Language: Python - Size: 486 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0
automl/neps
Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.
Language: Python - Size: 23.5 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 77 - Forks: 18
Western-OC2-Lab/Intrusion-Detection-System-Using-Machine-Learning
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Language: Jupyter Notebook - Size: 17.7 MB - Last synced at: 7 days ago - Pushed at: almost 2 years ago - Stars: 510 - Forks: 132
automl/HPOBench
Collection of hyperparameter optimization benchmark problems
Language: Python - Size: 741 KB - Last synced at: 9 days ago - Pushed at: 2 months ago - Stars: 150 - Forks: 36
MetaEvo/MetaBox
MetaBox: Benchmarking Platform for Meta-Black-Box Optimization
Language: Python - Size: 438 MB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 140 - Forks: 15
WilliamLwj/PyXAB
PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms
Language: Python - Size: 13.8 MB - Last synced at: 5 days ago - Pushed at: 9 months ago - Stars: 128 - Forks: 30
mnochtioui/House-Prices---Advanced-Regression-Techniques
Detailed walkthrough of a data science project for the Kaggle House Prices challenge, covering data cleaning, EDA, feature engineering, and regression modeling.
Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0
reiinakano/xcessiv
A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.
Language: Python - Size: 9.03 MB - Last synced at: 4 days ago - Pushed at: about 7 years ago - Stars: 1,266 - Forks: 104
Epistimio/orion
Asynchronous Distributed Hyperparameter Optimization.
Language: Python - Size: 49.2 MB - Last synced at: 12 days ago - Pushed at: 6 months ago - Stars: 299 - Forks: 50
Amungusds/machine-tracker
Track your pentesting progress with Machine Tracker, a free web app for cybersecurity learners. Share your journey in a structured way. 🌐💻
Size: 341 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0
Nailujj/Optuna_HPO_Visualization
Visualization of a multidimensional hyperparameter optimization using Optuna's Tree-structured Parzen Estimator in comparison to a conventional Grid-Search.
Language: TeX - Size: 24.8 MB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0
MIND-Lab/OCTIS
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
Language: Python - Size: 168 MB - Last synced at: 17 days ago - Pushed at: about 1 year ago - Stars: 771 - Forks: 113
sambo-optimization/sambo
🎯📈 Sequential And Model-Based Optimization with SCE-UA, SMBO, and SHGO for fast convergence
Language: Python - Size: 144 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 20 - Forks: 0
zahra-ahmadbeigloo/Machine-Learning-Projects
This repository contains machine learning projects, where models are trained for classification, regression, clustering, and deep learning tasks. Each project includes data preprocessing, feature engineering, model training, evaluation, and visualizations to support findings.
Language: Jupyter Notebook - Size: 12.9 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0
XAheli/Predicting-Indian-Stocks-Price-with-Stacked-LSTM
Predicting Indian stock prices using Stacked LSTM model. Analysing Reliance, Tata Steel, HDFC Bank, Infosys data. Data prep, EDA, hyperparameter tuning.
Language: Jupyter Notebook - Size: 1.61 MB - Last synced at: 16 days ago - Pushed at: almost 2 years ago - Stars: 26 - Forks: 5
microsoft/FLAML
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Language: Jupyter Notebook - Size: 208 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 4,161 - Forks: 541
openmole/mgo
Purely functional genetic algorithms for multi-objective optimisation
Language: Scala - Size: 3.57 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 72 - Forks: 5
baggepinnen/Hyperopt.jl
Hyperparameter optimization in Julia.
Language: Julia - Size: 213 KB - Last synced at: 9 days ago - Pushed at: over 1 year ago - Stars: 202 - Forks: 19
deephyper/deephyper
DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning
Language: Python - Size: 44.2 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 294 - Forks: 62
milagjurovska/PPI-link-prediction-with-optimized-gcn-and-gan
Comparing different biologically inspired algorithms in hyperparameter tuning in GCN and GAN models for link prediction in a protein-protein interaction network. 🧬
Language: Python - Size: 2.11 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 2 - Forks: 0
mljar/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Language: Python - Size: 9.34 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 3,175 - Forks: 420
SimonBlanke/Gradient-Free-Optimizers
Simple and reliable optimization with local, global, population-based and sequential techniques in numerical discrete search spaces.
Language: Python - Size: 38.3 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 1,235 - Forks: 91
owenodriscoll/AutoML
Python package for automated hyperparameter-optimization of common machine-learning algorithms
Language: Python - Size: 2.83 MB - Last synced at: 20 days ago - Pushed at: 21 days ago - Stars: 4 - Forks: 1
aimclub/FEDOT
Automated modeling and machine learning framework FEDOT
Language: Python - Size: 225 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 677 - Forks: 87
cerlymarco/shap-hypetune
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
Language: Jupyter Notebook - Size: 122 KB - Last synced at: 16 days ago - Pushed at: about 1 year ago - Stars: 578 - Forks: 72
automl/HpBandSter
a distributed Hyperband implementation on Steroids
Language: Python - Size: 7.17 MB - Last synced at: 9 days ago - Pushed at: almost 3 years ago - Stars: 618 - Forks: 107
sntsemilio/Hate-Speech-Detection-System
Advanced hate speech detection system using custom transformer architecture. Features 93% accuracy, 15x smaller than BERT, real-time inference (45ms), and interactive Streamlit interface. Built with TensorFlow 2.x and optimized with Keras Tuner
Language: Jupyter Notebook - Size: 9.27 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0
aparna-kundu-dutta/Intrusion_detection_system_using_ML
Enhance cybersecurity with our Intrusion Detection System using ML. Detect attacks in real-time with a Flask app and Random Forest model. 🐙💻
Language: HTML - Size: 6.02 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0
Saeed-dev2/cyberattack-detector-AI
FastAPI-based AI web app for real-time cyberattack detection using machine learning. Predicts network traffic as Benign or Attack with a trained model, scaler, and dynamic feature input via web UI. Ideal for cybersecurity research and intelligent intrusion detection.
Language: Python - Size: 3.4 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 1 - Forks: 0
andreas122001/bayesian-hyperparameter-optimization
Demo project on using Bayesian Optimization to find the optimal learning rate for a small ResNet model on the FashionMNIST dataset.
Language: Jupyter Notebook - Size: 1.76 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0
facebookexperimental/Robyn
Robyn is an experimental, AI/ML-powered and open sourced Marketing Mix Modeling (MMM) package from Meta Marketing Science. Our mission is to democratise modeling knowledge, inspire the industry through innovation, reduce human bias in the modeling process & build a strong open source marketing science community.
Language: Jupyter Notebook - Size: 388 MB - Last synced at: 25 days ago - Pushed at: 27 days ago - Stars: 1,312 - Forks: 404
ISG-Siegen/lenskit-auto
An AutoRecSys Library built around LensKit. Performs automatic algorithm selection, hyperparameter optimzation and ensembling on LensKit models.
Language: Python - Size: 2.66 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 2 - Forks: 1
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
Language: Jupyter Notebook - Size: 206 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 3,791 - Forks: 2,535
telekom/HPOflow 📦
Tools for Optuna, MLflow and the integration of both.
Language: Python - Size: 6.41 MB - Last synced at: 10 days ago - Pushed at: about 2 years ago - Stars: 18 - Forks: 2
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.
Language: Go - Size: 198 MB - Last synced at: 27 days ago - Pushed at: 4 months ago - Stars: 3,156 - Forks: 364
microsoft/CoML
Interactive coding assistant for data scientists and machine learning developers, empowered by large language models.
Language: Python - Size: 12.6 MB - Last synced at: 1 day ago - Pushed at: 10 months ago - Stars: 95 - Forks: 15
sajadamouei/classification-metabolomics
Implementation of a comparative analysis to find the best ML model for classifying dry eye disease from healthy controls using metabolomics datasets.
Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 2 - Forks: 0
Y-Srivaishnavi/simple_neural_architecture_search
Perform Neural Architecture Search to find the optimal ANN architecture for classification on two datasets: Splice and Human Activity Recognition
Language: Jupyter Notebook - Size: 1.42 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0
ahundt/sharpDARTS
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
Language: Python - Size: 6.31 MB - Last synced at: 16 days ago - Pushed at: over 4 years ago - Stars: 15 - Forks: 4
sile/tpe
A TPE (Tree-structured Parzen Estimator) implementation in Rust
Language: Rust - Size: 54.7 KB - Last synced at: 26 days ago - Pushed at: 3 months ago - Stars: 30 - Forks: 7
Yashmaini30/Breast-Cancer-Detection
Transfer learning-based breast cancer classification using ultrasound images. Includes ResNet-50, AlexNet, VGG16, and GoogLeNet with fine-tuning, feature extraction, and Bayesian optimization.
Language: Jupyter Notebook - Size: 9.3 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 1 - Forks: 0
Tejas290/cyberattack-detector-AI
Detect cyberattacks in real-time with this FastAPI web app. Input network features and get instant predictions on traffic safety. 🚀🔍
Language: Python - Size: 3.39 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0
mohiuddinrazu/cres_trigger
Machine learning triggering algorithm in Python (TensorFlow 2) for weak and noisy signal from CRES. This version of the algorithm utilizes LSTM units to learn from the chirping signature of CRES signal in Fourier space. MLFlow hyperparameter optimization with multi-GPU parallelization has been added.
Language: Jupyter Notebook - Size: 1.22 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0
ClimbsRocks/auto_ml
[UNMAINTAINED] Automated machine learning for analytics & production
Language: Python - Size: 1.38 MB - Last synced at: 28 days ago - Pushed at: over 4 years ago - Stars: 1,651 - Forks: 312
thomas-young-2013/mindware
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
Language: Python - Size: 63 MB - Last synced at: about 15 hours ago - Pushed at: over 3 years ago - Stars: 61 - Forks: 28
oracle-samples/automlx
This repository contains demo notebooks (sample code) for the AutoMLx (automated machine learning and explainability) package from Oracle Labs.
Size: 27.9 MB - Last synced at: 27 days ago - Pushed at: about 1 month ago - Stars: 28 - Forks: 5
thuijskens/bayesian-optimization
Python code for bayesian optimization using Gaussian processes
Language: Jupyter Notebook - Size: 679 KB - Last synced at: 5 days ago - Pushed at: over 8 years ago - Stars: 311 - Forks: 127
mukulsinghal001/USA-Housing-Price-Prediction
In this project I have implemented 14 different types of regression algorithms including Linear Regression, KNN Regressor, Decision Tree Regressor, RandomForest Regressor, XGBoost, CatBoost., LightGBM, etc. Along with it I have also performed Hyper Paramter Optimization & Cross Validation.
Language: Jupyter Notebook - Size: 1.2 MB - Last synced at: 11 days ago - Pushed at: over 4 years ago - Stars: 6 - Forks: 0
maxpumperla/hyperas
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Language: Python - Size: 758 KB - Last synced at: 28 days ago - Pushed at: over 2 years ago - Stars: 2,176 - Forks: 318
TUM-DAML/seml
SEML: Slurm Experiment Management Library
Language: Python - Size: 1.51 MB - Last synced at: 25 days ago - Pushed at: 2 months ago - Stars: 181 - Forks: 32
SimonBlanke/Hyperactive
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
Language: Python - Size: 30.7 MB - Last synced at: 21 days ago - Pushed at: 22 days ago - Stars: 524 - Forks: 49
evhub/bbopt
Black box hyperparameter optimization made easy.
Language: Python - Size: 1.22 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 74 - Forks: 8
klieret/wandb-offline-sync-hook
A convenient way to trigger synchronizations to wandb / Weights & Biases if your compute nodes don't have internet!
Language: Python - Size: 242 KB - Last synced at: 23 days ago - Pushed at: about 2 months ago - Stars: 82 - Forks: 7
ARM-software/mango
Parallel Hyperparameter Tuning in Python
Language: Jupyter Notebook - Size: 54.6 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 418 - Forks: 48
kruize/autotune
Autonomous Performance Tuning for Kubernetes!
Language: Java - Size: 9.25 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 207 - Forks: 60
mlr-org/mlr3mbo
Flexible Bayesian Optimization in R
Language: R - Size: 13.6 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 25 - Forks: 1
EpistasisLab/tpot2
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Language: Jupyter Notebook - Size: 10.5 MB - Last synced at: 30 days ago - Pushed at: 6 months ago - Stars: 235 - Forks: 31