autogluon / autogluon-assistantLinks
Multi-Agent System Powered by LLMs for End-to-end Multimodal ML Automation
☆248Updated last week
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…☆178Updated last year
- A Living Benchmark for Machine Learning on Tabular Data☆171Updated last week
- Community extensions for TabPFN - the foundation model for tabular data. Built with TabPFN! 🤗☆239Updated last week
- Tabular In-Context Learning☆103Updated 10 months ago
- Zero-shot Time Series Forecasting with TabPFN (work accepted at NeurIPS 2024 TRL and TSALM workshops)☆336Updated 2 weeks ago
- ML models + benchmark for tabular data classification and regression☆318Updated 2 weeks ago
- Repository for TabICL: A Tabular Foundation Model for In-Context Learning on Large Data☆290Updated last month
- Forecast evaluation library☆138Updated this week
- ⚡ Easy API access to the tabular foundation model TabPFN ⚡☆219Updated last week
- HyperFast : Instant Classification for Tabular Data☆76Updated last month
- TiRex: Zero-Shot Forecasting Across Long and Short Horizons with Enhanced In-Context Learning☆234Updated last week
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆176Updated last year
- DeepTab is a Python package that simplifies tabular deep learning by providing a suite of models for regression, classification, and dist…☆285Updated last week
- A novel approach for synthesizing tabular data using pretrained large language models☆340Updated last month
- The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"☆314Updated 2 months ago
- ☆333Updated 2 years ago
- TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and dete…☆351Updated this week
- 👋 Puncc is a python library for predictive uncertainty quantification using conformal prediction.☆366Updated this week
- A Library for Conformal Hyperparameter Tuning☆104Updated last month
- Repository of Transformer based PyTorch Time Series Models☆316Updated last year
- Tabular Deep Learning Library for PyTorch☆762Updated last week
- Fast, high-quality forecasts on relational and multivariate time-series data powered by new feature learning algorithms and automated ML.☆231Updated 2 months ago
- Salesforce CausalAI Library: A Fast and Scalable framework for Causal Analysis of Time Series and Tabular Data☆313Updated 8 months ago
- A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.☆242Updated 2 weeks ago
- Interpret text data with LLMs (sklearn compatible).☆175Updated 3 months ago
- ☆176Updated 3 weeks ago
- Time-Series-Optimized Transformer for Observability☆313Updated last month
- New Polars implementation of the classic featurewiz MRMR algorithm. Created by Ram Seshadri. Collaborators welcome.☆45Updated 9 months ago
- Shapley Interactions and Shapley Values for Machine Learning☆671Updated last week
- A Python toolbox for conformal prediction research on deep learning models, using PyTorch.☆441Updated 2 months ago