This Scikit-learn extension accelerates compatible applications through optimized implementations.
Open source
24 alternativesfinetuning-scheduler
github.com/speediedan/finetuning-scheduler
ML Training & Optimization
Open-source projectOpen source
PyTorch Lightning extension that accelerates and enhances foundation model experimentation with flexible fine-tuning schedules.
About finetuning-scheduler
finetuning-scheduler is an open-source extension for PyTorch Lightning for defining fine-tuning schedules for foundation model experiments. It supports explicit or regex-based parameter selection, with implicit schedules for initial exploration and explicit schedules for tuning and behavioral experimentation.
It applies early-stopping criteria to each fine-tuning phase, restores the best per-phase checkpoint, and allows combining early-stopping with epoch-based phase transitions. It installs from PyPI using uv, with optional extras for examples, development and testing.
Key features
- Flexible fine-tuning schedules with explicit parameter selection
- Regex-based parameter selection for schedules
- Implicit schedules for initial model exploration
- Explicit schedules for performance tuning and experimentation
- Automatic restoration of best per-phase checkpoints via early stopping
- Composition of early-stopping and epoch-driven phase transitions
Best for: Researchers and developers using PyTorch Lightning to experiment with foundation model fine-tuning schedules.
Good for
- Open-source repository with source installation options
- Installable from PyPI using uv
- Supports implicit and explicit scheduling approaches
finetuning-scheduler at a glance
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
finetuning-scheduler alternatives
Tools and sites you could use instead, ranked by how closely they match.
pomegranate provides flexible probabilistic modeling tools and algorithms for Python users.
Open source
24 alternatives
Detecto supports building and training computer vision models with the PyTorch machine learning framework.
Open source
24 alternatives
PyTorch Geometric Temporal provides models and tools for spatiotemporal signal processing with neural learning.
Open source
24 alternatives
autoai automates regression and classification modeling in Python through model search and hyperparameter tuning.
Open source
24 alternatives
Katib automates machine learning on Kubernetes, including hyperparameter tuning and neural architecture search.
Open source
24 alternativesPopular in ML Training & Optimization
Well-known listings from the same topic.
Edwardedwardlib.orgAerosolveaerosolve.airbnb.techDataturedatature.ioTogether AItogether.aiOptunaoptuna.orgCatBoostcatboost.ai
finetuning-scheduler FAQ
How do I install finetuning-scheduler?
Install uv, then run uv pip install finetuning-scheduler.
How do I install packages needed for the examples?
Use uv pip install finetuning-scheduler['examples'], or uv pip install finetuning-scheduler['all'] for examples, development and testing packages.
Is something wrong or out of date?
Tell us and an editor will check it.
Own this website?
Claim this listing
Claim the listing and suggest updates yourself. An editor checks every claim first.