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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.

52.7M 42K 8K
wandb
wandb

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

24.7M 11K 864
holgern
scikit-optimize

Sequential model-based optimization with a `scipy.optimize` interface

848K 24 6
ray-project
ant-ray-cpp-nightly

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

49K 42K 8K
ray-project
ray-cpp

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

39K 42K 8K
automl
smac

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

31K 1K 241
ray-project
ant-ray-nightly

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

12K 42K 8K
IBM
lale

Library for Semi-Automated Data Science

10K 346 83
ray-project
ant-ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

6K 42K 8K
DLR-RM
rl-zoo3

A training framework for Stable Baselines3 reinforcement learning agents, with hyperparameter optimization and pre-trained agents included.

6K 3K 595
sambo-optimization
sambo

🎯 📈 Sequential and Model-Based Optimization in Python, featuring SCE-UA, SMBO, and SHGO algorithms. SOTA perfomance; 0 deps.

2K 31 0
MIND-LAB
octis

OCTIS: Comparing Topic Models is Simple! A python package to optimize and evaluate topic models (accepted at EACL2021 demo track)

2K 800 118
jeffkinnison
pyrameter

Structure, sample, and savor hyperparameter searches.

1K 3 7
wandb
wandb-ng

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

1K 11K 864
logicalclocks
maggy

Distribution transparent Machine Learning experiments on Apache Spark

696 91 13
ray-project
ve-ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

625 42K 8K
dongyeoplee2
malet

Hyperparameter search and metric visualization tool for personal research.

561 18 1
tjkessler
pygenetics

Genetic algorithm framework for tuning arbitrary functions

499 4 1
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.

496 614 63
datarobot
syftr

syftr is an agent optimizer that helps you find the best agentic workflows for your budget.

473 335 28
ISG-Siegen
auto-surprise

An AutoRecSys library for Surprise. Automate algorithm selection and hyperparameter tuning :rocket:

460 28 2
ray-project
secretflow-ray

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

403 42K 8K
sherpa-ai
parameter-sherpa

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

397 345 51
Dreem-Organization
benderopt

Black-box optimization library

369 87 6
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