Natural Language Processing
KristiyanVachev/Question-Generation
Generating multiple choice questions from text using Machine Learning.
🧬 Embeddings
Jupyter NotebookGPL-3.0updated Feb 14, 2024
Easy to use and understand multiple-choice question generation algorithm using T5 Transformers.
$ git clone https://github.com/KristiyanVachev/Leaf-Question-Generation.gitGenerating multiple choice questions from text using Machine Learning.
State-of-the-art deep learning model for analyzing sentiment, emotion, sarcasm etc.
Algebrica is free and open a mathematical knowledge base dedicated to clarity, structure, and conceptual coherence.
EMNLP 2026 Main Conference Paper: MASCOT: Towards Multi-Agent Socio-Collaborative Companion Systems (https://aclanthology.org/2026.emnlp-main.878/))
机器学习、深度学习、自然语言处理、计算机视觉、各种算法等AI领域相关技术的路线、教程、干货分享。笔记有:机器学习实战、剑指Offer、cs231n、cs131、吴恩达机器学习、cs224n、python自然语言处理实战
Data from GitHub · snapshot Nov 13, 2026