Popular GitHub Repositories for Association Rules

? Create, share, and use custom AI code assistants with our open-source IDE extensions and hub of models, rules, prompts, docs, and other building blocks

A library of extension and helper modules for Python's data analysis and machine learning libraries.

Rules and Knowledge to work better with agents such as Claude Code or Cursor

Scalable Multi-modal RAG platform

Interpretable ML package ? for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.

About Code release for "Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy" (ICLR 2022 Spotlight), https://openreview.net/forum?id=LzQQ89U1qm_

A chatbot implemented in TensorFlow based on the seq2seq model, with certain rules integrated.

Rewriting a Deep Generative Model, ECCV 2020 (oral). Interactive tool to directly edit the rules of a GAN to synthesize scenes with objects added, removed, or altered. Change StyleGANv2 to make extravagant eyebrows, or horses wearing hats.

[IROS 2020] EAO-SLAM: Monocular Semi-Dense Object SLAM Based on Ensemble Data Association

The fundamental package for AIops with python.

CVPR'24, Official Codebase of our Paper: "Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation".

This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021.

This repository contains Cursor Security Rules designed to improve the security of both development workflows and AI agent usage within the Cursor environment. These rules aim to enforce safe coding practices, control sensitive operations, and reduce risk in AI-assisted development.

Save, load, distribute your AI rules

This repository contains the official release of the model "BanglaBERT" and associated downstream finetuning code and datasets introduced in the paper titled "BanglaBERT: Language Model Pretraining and Benchmarks for Low-Resource Language Understanding Evaluation in Bangla" accpeted in Findings of the Annual Conference of the North American Chapter of the Association for Computational Linguistics: NAACL-2022.

PyTorch implementation of Anomaly Transformer: Time Series Anomaly Detection with Association Discrepancy

RuLES: a benchmark for evaluating rule-following in language models

Rewriting Geometric Rules of a GAN: Warp a GAN model to customized, out-of-domain shapes.

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