diputs-sudo/hyperassist
A modular tool for analyzing machine learning training logs and hyperparameters. It helps developers and researchers gain insight into training dynamics, surface anomalies, and improve model performance through informed tuning.
No commits in the last 6 months. Available on PyPI.
Stars
4
Forks
—
Language
Python
License
—
Category
Last pushed
Aug 01, 2025
Commits (30d)
0
Dependencies
3
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/diputs-sudo/hyperassist"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
optuna/optuna
A hyperparameter optimization framework
keras-team/keras-tuner
A Hyperparameter Tuning Library for Keras
syne-tune/syne-tune
Large scale and asynchronous Hyperparameter and Architecture Optimization at your fingertips.
deephyper/deephyper
DeepHyper: A Python Package for Massively Parallel Hyperparameter Optimization in Machine Learning
KernelTuner/kernel_tuner
Kernel Tuner