Zengzhi Wang's repositories
Instruction-Tuning-Papers
Reading list of Instruction-tuning. A trend starts from Natrural-Instruction (ACL 2022), FLAN (ICLR 2022) and T0 (ICLR 2022).
do-research-in-AI
A repository of useful research/skill-upgrading talks or acticles in NLP/CV/AI Area (in Chinese).
awesome-english-ebooks
经济学人(含音频)、纽约客、卫报、连线、大西洋月刊等英语杂志免费下载,支持epub、mobi、pdf格式, 每周更新
awesome-phd-advice
Collection of advice for prospective and current PhD students
Book3_Elements-of-Mathematics
Book_3_《数学要素》 | 鸢尾花书：从加减乘除到机器学习；本册有，583幅图，136个代码文件，其中24个Streamlit App；状态：清华社五审五校中；Github稿件基本稳定，欢迎提意见，会及时修改
nlp-phd-global-equality
A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP
research-method
论文写作与资料分享
Student-resources
本文介绍的是利用学生、教职工身份可以享受到的相关学生优惠、教育优惠或教师优惠的权益，但也希望各位享受权利的同时不要忘记自己的义务，不要售卖、转手自己的学生优惠、教育优惠的资格，使得其他同学无法受益。
ABSA-Reading-List
Reading list of aspect-based sentiment analysis.
acad-homepage.github.io
AcadHomepage: A Modern and Responsive Academic Personal Homepage
Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
awesome-readme-template
An awesome README template for your projects!
Causality4NLP_Papers
A reading list for papers on causality for natural language processing (NLP)
Deep-Reasoning-Papers
Recent Papers including Neural Symbolic Reasoning, Logical Reasoning, Visual Reasoning, planning and any other topics connecting deep learning and reasoning
girlfriend-gift-collection
送给女朋友的礼物合集，生日/情人节/纪念日等，程序员的创意。
lightning-hydra-template
PyTorch Lightning + Hydra. A feature-rich template for rapid, scalable and reproducible ML experimentation with best practices. ⚡🔥⚡
llm-seminar
Seminar on Large Language Models (COMP790-101 at UNC Chapel Hill, Fall 2022)
ML-YouTube-Courses
📺 A place to discover the latest machine learning courses on YouTube.
NUSTM_Beamer_Slides
This repository contains the NUSTM theme Beamer template designed for the group report.
opencompass
OpenCompass is an LLM evaluation platform, supporting a wide range of models (LLaMA, LLaMa2, ChatGLM2, ChatGPT, Claude, etc) over 50+ datasets.
Tutorial-on-PhD-Application
Tutorial on PhD Application