GitHub topics: hyperparameter-search
datarobot/syftr
syftr is an agent optimizer that helps you find the best agentic workflows for your budget.
Language: Python - Size: 2.89 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 274 - Forks: 19
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: 4 days ago - Pushed at: 4 days ago - Stars: 10,013 - Forks: 751
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: 543 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 37,679 - Forks: 6,515
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: 4 days ago - Pushed at: 13 days ago - Stars: 2,465 - Forks: 556
automl/auto-sklearn
Automated Machine Learning with scikit-learn
Language: Python - Size: 121 MB - Last synced at: 6 days ago - Pushed at: 11 days ago - Stars: 7,866 - Forks: 1,305
automl/SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Language: Python - Size: 155 MB - Last synced at: 6 days ago - Pushed at: 10 days ago - Stars: 1,179 - Forks: 237
scikit-optimize/scikit-optimize 📦
Sequential model-based optimization with a `scipy.optimize` interface
Language: Python - Size: 8.99 MB - Last synced at: 7 days ago - Pushed at: over 1 year ago - Stars: 2,775 - Forks: 553
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: 20 days ago - Pushed at: 11 months ago - Stars: 770 - Forks: 113
sherpa-ai/sherpa
Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.
Language: JavaScript - Size: 5.57 MB - Last synced at: 2 days ago - Pushed at: over 4 years ago - Stars: 339 - Forks: 54
IBM/lale
Library for Semi-Automated Data Science
Language: Python - Size: 40.8 MB - Last synced at: 20 days ago - Pushed at: about 2 months ago - Stars: 339 - Forks: 80
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: about 1 month ago - Pushed at: 3 months ago - Stars: 3,142 - Forks: 364
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: 3 days ago - Pushed at: about 2 months ago - Stars: 612 - Forks: 62
araffin/rl-baselines-zoo 📦
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
Language: Python - Size: 367 MB - Last synced at: about 1 month ago - Pushed at: over 2 years ago - Stars: 1,175 - Forks: 209
holgern/scikit-optimize
Sequential model-based optimization with a `scipy.optimize` interface
Language: Python - Size: 19.8 MB - Last synced at: 27 days ago - Pushed at: about 1 year ago - Stars: 21 - Forks: 2
eigenein/rust-hyperopt
Tree-of-Parzen-estimators hyperparameter optimization
Language: Rust - Size: 114 KB - Last synced at: 20 days ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0
rmccorm4/Tiny-Imagenet-200 📦
🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.
Language: Python - Size: 5.74 MB - Last synced at: about 1 month ago - Pushed at: about 6 years ago - Stars: 103 - Forks: 29
ksachdeva/scikit-nni
AutoML - Hyper parameters search for scikit-learn pipelines using Microsoft NNI
Language: Python - Size: 11.7 MB - Last synced at: 9 days ago - Pushed at: over 2 years ago - Stars: 24 - Forks: 3
ISG-Siegen/Auto-Surprise
An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning :rocket:
Language: Python - Size: 181 KB - Last synced at: 12 days ago - Pushed at: about 1 year ago - Stars: 28 - Forks: 2
Koldim2001/MLflow_tracking
Использование MLflow для трекинга экспериментов PyTorch и Sklearn
Language: Jupyter Notebook - Size: 734 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 11 - Forks: 2
mert-byrktr/PSO-Hyperparameter-Selection
Hyperparameter selection on machine learning models using Particle Swarm Optimization
Language: Python - Size: 28.3 KB - Last synced at: 17 days ago - Pushed at: about 1 year ago - Stars: 4 - Forks: 0
MattKleinsmith/pbt
Population Based Training (in PyTorch with sqlite3). Status: Unsupported
Language: Python - Size: 120 KB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 166 - Forks: 25
mrkdh16/nba-shot-prediction
Predictive modeling of NBA shot success using features like shot distance and defender proximity. Trained logistic regression and neural networks. Features analysis by training models with individual variables.
Language: Jupyter Notebook - Size: 76.2 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
hyeonsangjeon/Hyperparameters-Optimization
Hyperparameters-Optimization
Language: Jupyter Notebook - Size: 12.1 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 17 - Forks: 3
imoneoi/xrl-script
Efficient AutoRL script for any framework
Language: Python - Size: 5.86 KB - Last synced at: 28 days ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 0
edong6768/Malet
🔨 Malet (Machine Learning Experiment Tool) is a tool for efficient machine learning experiment execution, logging, analysis, and plot making.
Language: Python - Size: 184 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 17 - Forks: 1
logicalclocks/maggy
Distribution transparent Machine Learning experiments on Apache Spark
Language: Python - Size: 5.74 MB - Last synced at: 5 days ago - Pushed at: over 1 year ago - Stars: 90 - Forks: 14
JLX0/llm-automl
Automate machine learning tasks at the code level with LLMs and autoML | Based on the TMLR paper "Large Language Models Synergize with Automated Machine Learning"
Size: 7.81 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
vthorey/benderopt
Black-box optimization library
Language: Jupyter Notebook - Size: 5.48 MB - Last synced at: 19 days ago - Pushed at: 11 months ago - Stars: 86 - Forks: 6
jazaoo13/WeatherPrediction
This project focuses on predicting the weather for the next day using a classification model. Both RandomForest and GradientBoosting classifiers were tested with grid search for hyperparameter tuning. The dataset used for this project is available at Kaggle.
Language: Jupyter Notebook - Size: 121 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
rgtzths/hyperparameter_importance
This repository is the code basis for the paper intitled "Unlocking Neural Networks: Hyperparameter Analysis"
Language: Python - Size: 21.5 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
rgtzths/mlp_hpp_analysis
This repository is the code basis for the paper intitled "Exploring the Intricacies of Neural Network Optimization"
Language: Python - Size: 58.6 KB - Last synced at: 3 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
Chandrahasd/exp_manager
A simple python interface for running multiple parallel instances of a python program (e.g. gridsearch).
Language: Python - Size: 18.6 KB - Last synced at: about 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
falcondai/coach
hyperparameter search for machine learning
Language: Python - Size: 8.79 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 4 - Forks: 0
ahundt/sharpDARTS
sharpDARTS: Faster and More Accurate Differentiable Architecture Search
Language: Python - Size: 6.31 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 16 - Forks: 4
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.
Language: Python - Size: 119 MB - Last synced at: 2 months ago - Pushed at: about 7 years ago - Stars: 106 - Forks: 76
martin-stoyanov/hyperparameters-site
hyperparameters is a Javascript library for hyperparameter optimization.
Language: JavaScript - Size: 2.52 MB - Last synced at: 2 months ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 1
ChristophAlt/tuna
Hyperparameter search for AllenNLP - powered by Ray TUNE
Language: Python - Size: 43.9 KB - Last synced at: about 1 year ago - Pushed at: over 5 years ago - Stars: 27 - Forks: 2
tjkessler/pygenetics
Genetic algorithm framework for tuning arbitrary functions
Language: Python - Size: 3.21 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 4 - Forks: 1
arneschneuing/scientific_pytorch_template
PyTorch template to facilitate scientific research using deep learning
Language: Python - Size: 701 KB - Last synced at: over 1 year ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0
30lm32/docker-parallel-hyperopt
Easy & Quick : Docker services are using hyperopt in parallel on top of Mongodb
Language: Python - Size: 2.93 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0
sef007/Neural-Network-Email-Classifier-Numpy-Only
Neural Network using NumPy, V1: Built from scratch. V2: Optimised with hyperparameter search.
Language: Python - Size: 780 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
jonzia/NeuralNetStudio
Platform + GUI for hyperparameter optimization of recurrent neural networks (MATLAB).
Language: MATLAB - Size: 300 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 8 - Forks: 3
DrMatters/hyperoptsearchcv
sklearn wrapper for Hyperopt
Language: Python - Size: 14.6 KB - Last synced at: almost 2 years ago - Pushed at: over 5 years ago - Stars: 4 - Forks: 2
mukeshmk/fm-learn
Federated Meta-Learning: a concept that allows everyone to benefit from the data that is generated through machine learning libraries.
Language: CSS - Size: 1.24 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 2
edoaltamura/vikhlinin
A specialized repository for fitting the Vikhlinin model to galaxy cluster density profiles.
Language: Python - Size: 22.5 KB - Last synced at: 4 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
data42lana/learning_ml_tools 📦
The notebook shows how machine learning tools and algorithms (scikit-learn, XGBoost, LightGBM) work in practice.
Language: Jupyter Notebook - Size: 535 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
Moddy2024/Cat-or-Dog-Image-Classification
I have trained two different CNN models for binary image classification to see which architecture has better accuracy, takes less time in training, how hyperparamters affect training and how many epochs do each of them need. I achieved 96% accuracy on the best model.
Language: Jupyter Notebook - Size: 129 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
Senmumu/ray_project_doc
ray project 中文文档
Language: Python - Size: 2.95 MB - Last synced at: 5 months ago - Pushed at: almost 6 years ago - Stars: 5 - Forks: 1
ndgigliotti/cluster-optimizer
A GridSearchCV-like hyperparameter optimizer for clustering (no cross-validation).
Language: Jupyter Notebook - Size: 74.2 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
fahadgorain/Bayesian-Hyper-Parameter-Optimization-for-Malware-Detection-Extended
Selected Paper from the AI-CyberSec 2021 Workshop in the 41st SGAI International Conference on Artificial Intelligence (MDPI Journal Electronics)
Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 2 - Forks: 1
MichaelFish199/GeneticAlgorithm-HyperparameterSearch
In this project, I use optuna library to perform a hyperparameter search for Professor Wojciech Broniowski's implementation of Genetic Algorythm algorithm, as well as comparing this algorythm to AntColonyOptimization. I use the optuna library to optimize the hyperparameters and improve the performance of the algorithm.
Language: Jupyter Notebook - Size: 1.89 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
MichaelFish199/AntColonyOptimization-HyperparameterSearch
In this project, I use optuna library to perform a hyperparameter search for Professor Wojciech Broniowski's implementation of Ant Colony Optimization (ACO) algorithm. I use the optuna library to optimize the hyperparameters and improve the performance of the algorithm.
Language: Jupyter Notebook - Size: 2.01 MB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
NewronAI/newron-sdk
Newron is a data-centric ML platform to easily build, manage, deploy and continuously improve models through data driven development.
Language: Python - Size: 1.11 MB - Last synced at: 1 day ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 4
rtflynn/NLP-Sentiment
Sentiment analysis for amazon product reviews using NLTK, Scikit-Learn, and Keras. Using hyperparameter search and LSTM, our best model achieves ~96% accuracy.
Language: Python - Size: 101 KB - Last synced at: over 2 years ago - Pushed at: almost 6 years ago - Stars: 6 - Forks: 5
ealcobaca/mlglass
We share in this repository some codes and data used during our research about glass property prediction and the design of new glasses.
Language: Jupyter Notebook - Size: 928 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 1
hanaecarrie/CS5228_kaggle_income50K_classification
CS5228 Kaggle Inclass Competition: Predicting if Income > 50K
Language: Jupyter Notebook - Size: 130 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 1
FabianGroeger96/wandb-callbacks
Additional Callbacks for Weights & Biases to monitor your models even better :mag_right:
Language: Python - Size: 5.79 MB - Last synced at: 28 days ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
neuro-inc/ml-recipe-nni
Example of Neu.ro integration with NNI for hyperparameter tuning
Language: Python - Size: 95.7 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0
jeffkinnison/pyrameter
Structure, sample, and savor hyperparameter searches.
Language: Python - Size: 343 KB - Last synced at: 7 months ago - Pushed at: over 2 years ago - Stars: 3 - Forks: 8
hisplan/mass-paral-param-search
Massively Parallel Grid Parameter Search for scRNA-seq Analysis
Language: Jupyter Notebook - Size: 8.16 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
tkbadamdorj/simple-gpu-scheduler
Hyperparameter search wrapper that uses multiple GPUs.
Language: Python - Size: 62.5 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0
C-opt/Kernel-Hyperparameter-Tracking
Code written in Python 2.7 for experiment on SVM with RBF kernel on "Robust and Efficient Kernel Hyperparameter Paths with Guarantees".
Language: Terra - Size: 995 KB - Last synced at: about 2 years ago - Pushed at: almost 6 years ago - Stars: 0 - Forks: 0
Shivanshu-Gupta/attr-hyperparams
Easy parameter specification using dataclasses made using attr library.
Language: Jupyter Notebook - Size: 29.3 KB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0
e96031413/ML_Term_Project
Machine Learning Term project of IOG5016 and IOG5018
Language: Jupyter Notebook - Size: 30.5 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
soumendra/principled-hp-tuning-tree-based-ensembles
Code, tables and charts for https://databiryani.com/machine-learning/random-forests/2020/12/09/principled-approach-to-hyperparameter-tuning-for-tree-based-ensembles-random-forests.html
Language: Jupyter Notebook - Size: 3.6 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
floydhub/hyperparameters-search-examples
Code examples for https://blog.floydhub.com/guide-to-hyperparameters-search-for-deep-learning-models/
Language: Jupyter Notebook - Size: 27.3 KB - Last synced at: over 2 years ago - Pushed at: about 6 years ago - Stars: 11 - Forks: 6
MosheWGit/CloudSearchML
MLCloudSearch presents tooling built to facilitate the use of Scikit-Learn and Tensorflow Keras Models. The name MLCloudSearch was inspired by the Machine Learning technique of searching for the best parameters to use in fitting a model, commonly referred to as Hyper-Parameter Search. Training can be done locally or on the Cloud.
Size: 11.7 KB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 0
chrisgschon/gluon-NN-wrap
A wrapper for searching over Neural network architectures, built on top of MXNet framework, in particular gluon.
Language: Jupyter Notebook - Size: 767 KB - Last synced at: over 2 years ago - Pushed at: about 7 years ago - Stars: 1 - Forks: 0
