sci_fish's repositories
Agriculture_KnowledgeGraph
农业知识图谱(AgriKG)：农业领域的信息检索，命名实体识别，关系抽取，智能问答，辅助决策
annotated_deep_learning_paper_implementations
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
ChatGPT
Reverse engineered ChatGPT API
ColossalAI
Making large AI models cheaper, faster and more accessible
CS224N-Stanford-Winter-2019
The collection of ALL relevant materials about CS224N-Stanford/Winter 2019 course. THANKS TO THE PROFESSOR AND TAs! 斯坦福大学CS224N 【2019】课程的【所有】相关的资料。感谢Chris Manning教授和Abigail See，感谢所有助教！
d2l-en
Dive into Deep Learning: an interactive deep learning book on Jupyter notebooks, using the NumPy interface.
DeepCTR
Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
DeepLearningExamples
Deep Learning Examples
Dureader-Bert
BERT Dureader多文档阅读理解 排名第七
gin-config
Gin provides a lightweight configuration framework for Python
github-downloader
Script for downloading GitHub.
HanLP
自然语言处理 中文分词 词性标注 命名实体识别 依存句法分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁
hexo-theme-next
Elegant theme for Hexo.
les-military-mrc-rank7
莱斯杯：全国第二届“军事智能机器阅读”挑战赛 - Rank7 解决方案
LES-MMRC-Summary
科赛网-莱斯杯：全国第二届“军事智能机器阅读”挑战赛 前十团队PPT文档代码总结
lic2019-dureader2.0-rank2
Rank2 solution (no-BERT) for 2019 Language and Intelligence Challenge - DuReader2.0 Machine Reading Comprehension.
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
openbilibili-go-common
嘘，不要问！我也不清楚这些是啥…
PyTorch-MRCToolkit
This toolkit written by PyTorch was designed for the fast and efficient development of modern machine comprehension models.
Question_Answering_Models
This repo collects and re-produces models related to domains of question answering and machine reading comprehension
text_classification
all kinds of text classification models and more with deep learning
transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
UsefulNotes
学习笔记整理，涉及深度学习、自然语言处理、论文写作等
zanwenok.github.io
github pages