microsoft / FLAMLLinks
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
β4,227Updated 2 weeks ago
Alternatives and similar repositories for FLAML
Users that are interested in FLAML are comparing it to the libraries listed below
Sorting:
- Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentationβ3,214Updated 3 months ago
- π Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Modelsβ2,965Updated 3 weeks ago
- Automatic architecture search and hyperparameter optimization for PyTorchβ2,498Updated last year
- Feature engineering package with sklearn like functionalityβ2,147Updated last month
- An open-source, low-code machine learning library in Pythonβ9,563Updated 6 months ago
- A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.β2,007Updated 4 months ago
- Fit interpretable models. Explain blackbox machine learning.β6,699Updated this week
- Fast and Accurate ML in 3 Lines of Codeβ9,513Updated this week
- Hummingbird compiles trained ML models into tensor computation for faster inference.β3,492Updated 3 months ago
- A flexible, intuitive and fast forecasting libraryβ1,849Updated 8 months ago
- Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Graβ¦β1,858Updated last year
- Algorithms for explaining machine learning modelsβ2,571Updated last week
- Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.β2,451Updated 2 months ago
- Algorithms for outlier, adversarial and drift detectionβ2,441Updated last week
- Merlion: A Machine Learning Framework for Time Series Intelligenceβ4,440Updated last year
- Lightning β‘οΈ fast forecasting with statistical and econometric models.β4,548Updated last week
- Interpretable ML package π for concise, transparent, and accurate predictive modeling (sklearn-compatible).β1,505Updated 2 months ago
- PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdfβ2,859Updated last year
- Automated Machine Learning with scikit-learnβ7,981Updated this week
- Probabilistic time series modeling in Pythonβ5,040Updated 2 months ago
- A standard framework for modelling Deep Learning Models for tabular dataβ1,586Updated last week
- NeuralProphet: A simple forecasting packageβ4,186Updated 9 months ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.β4,379Updated 8 months ago
- π Online machine learning in Pythonβ5,583Updated 3 weeks ago
- Seamlessly integrate LLMs into scikit-learn.β3,479Updated 3 weeks ago
- OmniXAI: A Library for eXplainable AIβ951Updated last year
- Aim π« β An easy-to-use & supercharged open-source experiment tracker.β5,840Updated last week
- Visualize and compare datasets, target values and associations, with one line of code.β3,055Updated last year
- A python library for decision tree visualization and model interpretation.β3,101Updated 7 months ago
- The Open Source Feature Store for AI/MLβ6,411Updated this week