autogluon / autogluon-assistantLinks
Multi-Agent System Powered by LLMs for End-to-end Multimodal ML Automation
☆190Updated last month
Alternatives and similar repositories for autogluon-assistant
Users that are interested in autogluon-assistant are comparing it to the libraries listed below
Sorting:
- Semi-automatic feature engineering process using Language Models and your dataset descriptions. Based on the paper "LLMs for Semi-Automat…☆170Updated 9 months ago
- A Living Benchmark for Machine Learning on Tabular Data☆125Updated last week
- TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning☆179Updated last week
- ML models + benchmark for tabular data classification and regression☆275Updated last month
- Tabular In-Context Learning☆92Updated 7 months ago
- Forecast evaluation library☆118Updated this week
- Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)☆277Updated 3 weeks ago
- Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗☆190Updated this week
- A Library for Conformal Hyperparameter Tuning☆36Updated last week
- Interpret text data using LLMs (scikit-learn compatible).☆170Updated 2 weeks ago
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆191Updated last month
- Mambular is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and dis…☆265Updated 2 months ago
- ☆73Updated 7 months ago
- ⚡ Easy API access to the tabular foundation model TabPFN ⚡☆197Updated this week
- Repository for the explanation method Calibrated Explanations (CE)☆70Updated this week
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆348Updated 4 months ago
- 👖 Conformal Tights adds conformal prediction of coherent quantiles and intervals to any scikit-learn regressor or Darts forecaster☆114Updated last week
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆424Updated last month
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆167Updated last year
- ☆230Updated last month
- Python implementation of binary and multi-class Venn-ABERS calibration☆191Updated last week
- Python package for conformal prediction☆521Updated this week
- A novel approach for synthesizing tabular data using pretrained large language models☆322Updated 3 months ago
- Various Conformal Prediction methods implemented from scratch in pure NumPy for an educational purpose.☆224Updated last year
- Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data☆304Updated 5 months ago
- A simple and fast sklearn-compatible conformal predictions with random forests for both classification and regression tasks.☆45Updated last month
- Shapley Interactions and Shapley Values for Machine Learning☆613Updated 2 weeks ago
- (ICLR 2025) TabM: Advancing Tabular Deep Learning With Parameter-Efficient Ensembling☆761Updated last month
- TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and dete…☆183Updated this week
- Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.☆224Updated 4 months ago