Starred repositories
A collection of Knowledge Tracing model implementations with PyTorch
Multiple Knowledge Tracing models implemented by pytorch
Our implementation of the LSTM version of Deep Knowledge Tracing (DKT)
TCN architecture for time series
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
TuckER: Tensor Factorization for Knowledge Graph Completion
变分推断在教育测量模型中的应用（项目反应理论，认知诊断模型） variational inference for psychometrics model (item response theoy, cognitive diagnosis models)
the simulation of Thurstone Item Response Theory, include fixed forced test and adaptive forced test. 模拟瑟斯顿项目反应理论，包括固定测验和自适应测验。
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
PyTorch Implementation and Explanation of Graph Representation Learning papers: DeepWalk, GCN, GraphSAGE, ChebNet & GAT.
To study pytorch can improve myself about deeplearing, so it is excited to create the repository. 为了更够更好地学习基于框架pytorch的深度学习，特地创建该仓库，用于记录如何通过pytorch完成深度学习的任务（如：文本分类、图像分类、语义分割、实例分割、目标检测等），同时也会不断更新一些像…
使用BERT预训练语言模型获取评论文本的向量表示，通过Bi-GRU网络学习其中的语义特征，分别采用情感权重和注意力机制来为评论向量分配权重，动态调节其对用户特征和产品特征的影响程度，并以加权求和的方式获得用户特征和产品特征，最后利用DeepFM算法对用户特征和产品特征进行深度交互，预测产品推荐的评分值。[结果]在Amazon product data数据集上的实验结果表明，本文模型比基线模型…
对常用的注意力机制模块总结，可用于深度学习模型的改进
Various attention mechanism codes implemented using the pytorch framework（使用pytorch框架实现的各种注意力机制代码）
自注意力机制相关代码
Graph-based Knowledge Tracing: Modeling Student Proficiency Using Graph Neural Network
A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN)
A PyTorch Implementation of Gated Graph Sequence Neural Networks (GGNN) and Residual Gated Graph ConvNets (RGGC) for FYP