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-kaist-data_science_and_machine_learning

bertgcn

chuseongyeub

data-science-from-scratch

"밑바닥부터 시작하는 데이터 사이언스" 예시 코드

deep-learning-from-scratch

『밑바닥부터 시작하는 딥러닝』(한빛미디어, 2017)

deep-learning-from-scratch-2

『밑바닥부터 시작하는 딥러닝 ❷』(한빛미디어, 2019)

deeplearningstudy

eduktm

The Model Zoo of Knowledge Tracing Models

explainable_korean_essay_scoring

gikt

GIKT: A Graph-based Interaction Model for Knowledge Tracing

gnnatoz

graph_based_mooc_recommendation

heterogeneous_graph_benchmark

Revisiting, benchmarking, and refining Heterogeneous Graph Neural Networks.

hinormer

knowledge-graph-recommender

Comps replication repository on knowledge graphs for recommendation

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

ksgan

kt_edu

lpkt

magnn

Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

multi-scale-bert-aes

Demo for the paper "On the Use of BERT for Automated Essay Scoring: Joint Learning of Multi-Scale Essay Representation"

pinecone-io

code_handbook

prometheus

[NeurIPS 2023 WS] An Evaluator LM that is open-source, offers reproducible evaluation, and inexpensive to use. Specifically designed for fine-grained evaluation on a customized score rubric, Prometheus is a good alternative for human evaluation and GPT-4 evaluation.

pytorch-gnn-research

Various Applications and Descriptions of GNN with Pytorch, Pytorch Geometric.

rdv-cnn

RDV-CNN model for document level novelty detection. Comparision of our model with baselines on three popular datasets.