Fast and Accurate ML in 3 Lines of Code
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A Python library for anomaly detection across tabular, time series, graph, text, image, and audio data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.
- outlier-detection
- anomaly-detection
- outlier-ensembles
- machine-learning
⚡ TabPFN: Foundation Model for Tabular Data ⚡
- data-science
- foundation-models
- machine-learning
- tabpfn
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
- automl
- hyperparam
- automated-machine-learning
- machine-learning
LimiX: Unleashing Structured-Data Modeling Capability for Generalist Intelligence https://arxiv.org/abs/2609.17488
- foundation-models
- limix
- machine-learning
- structured-data
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
- pytorch
- deep-neural-networks
- machine-learning-library
- tabular-data
We unified the interfaces of instruction-tuning data (e.g., CoT data), multiple LLMs and parameter-efficient methods (e.g., lora, p-tuning) together for easy use. We welcome open-source enthusiasts to initiate any meaningful PR on this repo and integrate as many LLM related technologies as possible. 我们打造了方便研究人员上手和使用大模型等微调平台，我们欢迎开源爱好者发起任何有意义的pr！
Algorithms for outlier, adversarial and drift detection
- anomaly
- outlier
- concept-drift
- detection
Automatic architecture search and hyperparameter optimization for PyTorch
- automl
- deep-learning
- tabular-data
- pytorch
What's in your data? Extract schema, statistics and entities from datasets
- python
- privacy
- pii
- npi
A unified framework for tabular probabilistic regression, time-to-event prediction, and probability distributions in python
- python
- sklearn
- data-science
- framework
Machine learning on dirty tabular data (legacy clone of skrub)