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hyperparameter-tuning
6 projects tagged “hyperparameter-tuning” that gained the most stars yesterday
#3038 · +6 · 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
#4276 · +3 · 1d ·GitHub

The AI Compute Platform for frontier teams. SkyPilot turns fragmented AI compute into one AI supercomputer, so frontier AI teams build custom intelligence faster.

Size
266.6 MB
Stars
10.7K
Age
5y
Commits · 90 Days
#5378 · +1 · 1d ·GitHub

This document is for engineers and researchers (both individuals and teams) interested in maximizing the performance of deep learning models. We assume basic knowledge of machine learning and deep learning concepts.

Size
1.8 MB
Stars
30.4K
Updated
CommitJun 13
Age
3y
Commits · 90 Days
#5685 · +1 · 1d ·GitHub

0: Kolmogorov-Arnold Networks Meet Science". You may want to quickstart with hellokan, try more examples in tutorials, or read the documentation here.

Size
114 MB
Stars
16.3K
Age
2y
Commits · 90 Days
#5811 · +1 · 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
#6074 · +1 · 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