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ray-project/ray

Ray is a unified framework for scaling AI and Python applications with distributed computing and ML libraries.

41.6K
Active
Python
ML Ops
Containerization
Python
#distributed-computing#ml-ops#ai-framework

d2l-ai/d2l-en

Interactive deep learning book with code and math

28.4K
Archived
Python
Computer Vision
Books & Guides
Jupyter
#deep-learning#machine-learning#computer-vision

microsoft/nni

An open-source AutoML toolkit for automating the machine learning lifecycle, including feature engineering, neural architecture search, and hyperparameter tuning.

14.3K
Archived
Python
ML Ops
PyTorch
#automated-machine-learning#automl#hyperparameter-tuning

optuna/optuna

Optuna is a hyperparameter optimization framework that enables efficient and scalable model tuning for machine learning.

13.6K
Active
Python
Hyperparameter Optimization
Python
#machine-learning#hyperparameter-tuning#distributed

wandb/wandb

The AI developer platform to train and fine-tune models, and manage models from experimentation to production.

10.9K
Active
Python
ML Ops
PyTorch
#ai#machine-learning#model-versioning

autogluon/autogluon

Fast and accurate machine learning framework that can build models in just 3 lines of Python code.

10.1K
Active
Python
ML Ops
PyTorch
#automated-machine-learning#computer-vision#tabular-data

EpistasisLab/tpot

A Python Automated Machine Learning tool that optimizes ML pipelines using genetic programming.

10.0K
Stable
Jupyter Notebook
AutoML
scikit-learn
#automated-machine-learning#hyperparameter-optimization#model-selection

automl/auto-sklearn

Automated Machine Learning with scikit-learn

8.1K
Active
Python
React
#automated-machine-learning#hyperparameter-tuning#metalearning

microsoft/FLAML

A fast library for AutoML and hyperparameter tuning that can be used for various machine learning tasks.

4.3K
Active
Jupyter Notebook
Automated Machine Learning
Machine Learning
Jupyter Notebook
#automated-machine-learning#hyperparameter-optimization#tabular-data

polyaxon/polyaxon

Polyaxon is an MLOps platform for managing and orchestrating the machine learning lifecycle.

3.7K
Active
MLOps
API Frameworks
Kubernetes
#machine-learning#mlops#kubernetes

mljar/mljar-supervised

An AutoML Python package for tabular data with feature engineering, hyperparameter tuning, and automatic documentation.

3.2K
Experimental
Python
ML Ops
Databases
Python
#automated-machine-learning#automl#tabular-data

determined-ai/determined

Determined is an open-source machine learning platform for distributed training, hyperparameter tuning, and resource management.

3.2K
Experimental
Go
PyTorch
#machine-learning#open-source#distributed-training

keras-team/keras-tuner

Keras Tuner is a hyperparameter optimization library that helps developers find the best neural network architecture and hyperparameters for their Keras models.

2.9K
Stable
Python
Hyperparameter Optimization
Testing
Keras
#automl#deep-learning#hyperparameter-tuning

DLR-RM/rl-baselines3-zoo

A framework for training Stable Baselines3 reinforcement learning agents with hyperparameter optimization.

2.7K
Stable
Python
Reinforcement Learning
CLI Tools
PyTorch
#reinforcement-learning#hyperparameter-optimization#robotics

maxpumperla/hyperas

A Python library that provides a simple wrapper for hyperparameter optimization using Keras and Hyperopt.

2.2K
Archived
Python
ML Ops
CLI Tools
Keras
#hyperparameter-optimization#machine-learning#deep-learning

ClimbsRocks/auto_ml

Automated machine learning for analytics & production use cases powered by popular ML libraries.

1.7K
Archived
Python
ML Ops
ETL & Pipelines
scikit-learn
#automated-machine-learning#data-science#production-ready

autonomio/talos

Hyperparameter optimization library for TensorFlow and Keras, focused on AI/ML model development.

1.6K
Archived
Python
ML Ops
CLI Tools
TensorFlow
#hyperparameter-optimization#deep-learning#model-development

google/vizier

Research interface for blackbox and hyperparameter optimization using the Google Vizier Service

1.6K
Active
Python
React
#authentication#optimization#hyperparameter-tuning

facebookexperimental/Robyn

An open-source marketing mix modeling library that uses AI/ML to democratize modeling knowledge and reduce human bias.

1.4K
Active
Jupyter Notebook
ML Ops
API Frameworks
Jupyter Notebook
#marketing-mix-modeling#econometrics#budget-allocation

LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms

A library for implementing hyperparameter optimization methods for machine learning and deep learning models.

1.3K
Archived
Jupyter Notebook
ML Ops
ORMs & Query Builders
Python
#machine-learning#deep-learning#hyperparameter-optimization
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