Low-code framework for building custom LLMs, neural networks, and other AI models
Trains deep learning models and fine-tunes LLMs from declarative YAML configs.
- 言語
- Python
- ライセンス
- Apache-2.0
- スター
- 12k
- 最新リリース
- v0.17.9
- 最終プッシュ
- 2026-10-05
Platform for building, deploying and monitoring ML models with automated machine learning. DataRobotのクローズドな製品です。
| ツール | 置き換えの度合い | スター | ライセンス | 利用条件 | セルフホスト | 言語 | 最新リリース | 最終プッシュ |
|---|---|---|---|---|---|---|---|---|
| Ludwig | 部分的 | 12k | Apache-2.0 | オープンソース | 不可 | Python | v0.17.9 | 2026-10-05 |
| AutoGluon | 部分的 | 11k | Apache-2.0 | オープンソース | 不可 | Python | v1.6.3 | 2026-10-05 |
| PyCaret | 部分的 | 9.8k | Other | ソースアベイラブル | 不可 | Python | 3.3.2 | 2026-07-23 |
| H2O-3 | 部分的 | 7.5k | Apache-2.0 | オープンソース | 不可 | Jupyter Notebook | gha-3.47.0.36 | 2026-09-25 |
| FLAML | 部分的 | 4.4k | MIT | オープンソース | 不可 | Jupyter Notebook | v2.7.0 | 2026-10-05 |
代替5件
Low-code framework for building custom LLMs, neural networks, and other AI models
Trains deep learning models and fine-tunes LLMs from declarative YAML configs.
Fast and Accurate ML in 3 Lines of Code
Trains and ensembles models on tabular, text, image and time series data in a few lines of Python.
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
A low-code Python library that compares and tunes many models in a few calls.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
A distributed ML platform with AutoML, with Python and R clients and a web notebook.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
Fast hyperparameter tuning and model selection, as a Python library.