Neural Networks: Zero to Hero

Must-read papers on Knowledge tracking models.

A collection of Knowledge Tracing model implementations with PyTorch

SAINT PyTorch implementation

Code for the paper "Exploring Knowledge Tracing in Tutor-Student Dialogues using LLMs" at LAK2025.

This is our implementation for the paper "Contrastive Learning for Knowledge Tracing" (TheWebConf 2022).

Forgetting-aware Linear Bias for Attentive Knowledge Tracing

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

Knowledge Tracing Models with PyTorch

pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models

Tracing Knowledge Instead of Patterns: Stable Knowledge Tracing with Diagnostic Transformer (WWW '23)

The Model Zoo of Knowledge Tracing Models

《动手学大模型Dive into LLMs》系列编程实践教程

自适应学习模型 - 知识追踪

source code for the paper Deep Knowledge Tracing

Transformer的完整实现。详细构建Encoder、Decoder、Self-attention。以实际例子进行展示，有完整的输入、训练、预测过程。可用于学习理解self-attention和Transformer

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

Teacher Ma's resource sharing group

A library of algorithms for reproducing knowledge tracing, cognitive diagnosis, exercise recommendation and learning path recommendation models.

研究生数学建模，本科生数学建模、数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT

LLM Tokenizer with BPE algorithm

Minimal, clean code for the Byte Pair Encoding (BPE) algorithm commonly used in LLM tokenization.

This repository collects some codes that encapsulates commonly used algorithms in the field of machine learning. Most of them are based on Numpy, Pandas or Torch. You can deepen your understanding …

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

Machine learning, in numpy