hyperparameter-tuning
Here are 1,589 public repositories matching this topic...
Language:All
Sort:Most stars
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
- Updated
Jul 3, 2024 - Python
The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
- Updated
Dec 18, 2025 - Python
Run, manage, and scale AI workloads on any AI infrastructure. Use one system to access & manage all AI compute (Kubernetes, 20+ clouds, or on-prem).
- Updated
Dec 18, 2025 - Python
Automated Machine Learning with scikit-learn
- Updated
Oct 27, 2025 - Python
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 Network…
- Updated
Oct 8, 2025 - Jupyter Notebook
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
- Updated
Mar 20, 2025 - Go
Sequential model-based optimization with a `scipy.optimize` interface
- Updated
Feb 23, 2024 - Python
A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.
- Updated
Dec 15, 2025 - Python
Automated Machine Learning on Kubernetes
- Updated
Dec 16, 2025 - Python
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
- Updated
Dec 18, 2025 - Python
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
- Updated
Sep 22, 2022 - Jupyter Notebook
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
- Updated
Dec 16, 2025 - Python
A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.
- Updated
Oct 17, 2022 - Python
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.
- Updated
Dec 18, 2025 - Python
EvalML is an AutoML library written in python.
- Updated
Dec 6, 2025 - Python
OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)
- Updated
Nov 24, 2025 - Python
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.
- Updated
Feb 25, 2023 - Go
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
- Updated
Jan 20, 2021 - Python
Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning
- Updated
May 14, 2024 - Jupyter Notebook
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…
- Updated
May 4, 2025 - Python
Improve this page
Add a description, image, and links to thehyperparameter-tuning topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with thehyperparameter-tuning topic, visit your repo's landing page and select "manage topics."