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hyperparameter-optimization
7 projects tagged “hyperparameter-optimization” that gained the most stars yesterday
#1482 · +20 · 1d ·GitHub

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

Size
809.5 MB
Stars
44.1K
Age
9y
Commits · 90 Days
#2546 · +9 · 1d ·GitHub

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

Creator
d2l-ai
Size
310.5 MB
Stars
29.9K
Age
8y
Commits · 90 Days
#2590 · +9 · 1d ·GitHub

Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning. It features an imperative, define-by-run style user API.

Creator
optuna
Size
23.1 MB
Stars
14.9K
Age
8y
Commits · 90 Days
#4476 · +3 · 1d ·GitHub

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

Creator
wandb
Size
226.3 MB
Stars
11.3K
Age
9y
Commits · 90 Days
#5179 · +2 · 1d ·GitHub

13 and is available on Linux, MacOS, and Windows.

Creator
autogluon
Size
28.5 MB
Stars
10.8K
Age
7y
Commits · 90 Days
#7188 · +0 · 1d ·GitHub
archived

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

Creator
microsoft
Size
130 MB
Stars
14.4K
Age
8y
Commits · 90 Days
#7869 · +0 · 1d ·GitHub

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

Size
89.8 MB
Stars
10.1K
Age
10y
Commits · 90 Days