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-tf-gnn-samples

TensorFlow implementations of Graph Neural Networks

awesome-causality-algorithms

An index of algorithms for learning causality with data

awesome-multimodal-large-language-models

:sparkles::sparkles:Latest Papers and Datasets on Multimodal Large Language Models, and Their Evaluation.

casual-graph

Breast cancer prediction using causal Inference

causalml

Uplift modeling and causal inference with machine learning algorithms

causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

dowhy

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

educdm

The Model Zoo of Cognitive Diagnosis Models

educhat

An open-source educational chat model from ICALK, East China Normal University. 开源中英教育对话大模型。(通用基座模型，GPU部署，数据清理) 致敬: LLaMA, MOSS, BELLE, Ziya, vLLM

edudata

Edudata: Datasets in Education and convenient interface for downloading and preprocessing dataset in education

gatv2-tensorflow2

The GATv2 https://arxiv.org/pdf/2105.14491.pdf implementation on TensorFlow

gnn

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

graph-transformer

Universal Graph Transformer Self-Attention Networks (TheWebConf WWW 2022) (Pytorch and Tensorflow)

mooc-radar

The data and source code for the paper "MoocRadar: A Fine-grained and Multi-aspect Knowledge Repository for Improving Cognitive Student Modeling in MOOCs"

pst

rcd

RCD: Relation Map Driven Cognitive Diagnosis for Intelligent Education Systems

tf_geometric

Efficient and Friendly Graph Neural Network Library for TensorFlow 1.x and 2.x