Low-code framework for building custom LLMs, neural networks, and other AI models
- Bahasa
- Python
- Lisensi
- Apache-2.0
- Bintang
- 12k
- Terbaru
- v0.17.9
- Push terakhir
- 2026-10-05
Train, tune and compare models automatically from tabular, text or image data.
Perubahan di kategori ini (RSS)
| Alat | Bintang | Lisensi | Ketentuan | Self-hosted | Bahasa | Terbaru | Push terakhir |
|---|---|---|---|---|---|---|---|
| Ludwig | 12k | Apache-2.0 | Open source | Tidak | Python | v0.17.9 | 2026-10-05 |
| AutoGluon | 11k | Apache-2.0 | Open source | Tidak | Python | v1.6.3 | 2026-10-05 |
| PyCaret | 9.8k | Other | Source available | Tidak | Python | 3.3.2 | 2026-07-23 |
| H2O-3 | 7.5k | Apache-2.0 | Open source | Tidak | Jupyter Notebook | gha-3.47.0.36 | 2026-09-25 |
| FLAML | 4.4k | MIT | Open source | Tidak | Jupyter Notebook | v2.7.0 | 2026-10-05 |
5 alat
Low-code framework for building custom LLMs, neural networks, and other AI models
Fast and Accurate ML in 3 Lines of Code
Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.
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 fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.