Cao Lijun's repositories
java-8-lambdas-exercises
Exercises and Answers for Java 8 Lambdas book
REKCARC-TSC-UHT
清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University
USTC-Course
:heart:**科学技术大学课程资源
awesome-chatgpt-prompts-zh
ChatGPT 中文调教指南。各种场景使用指南。学习怎么让它听你的话。
awesome-distributed-systems
A curated list to learn about distributed systems
ChatGLM-6B
ChatGLM-6B：开源双语对话语言模型 | An Open Bilingual Dialogue Language Model
chatgpt_academic
科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能
chinese-programmer-wrong-pronunciation
**程序员容易发音错误的单词
coding-interview-university
A complete computer science study plan to become a software engineer.
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，近30万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
deeplearningbook-chinese
Deep Learning Book Chinese Translation
FastChat
The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"
interpy-zh
📘《Python进阶》（Intermediate Python 中文版）
interview_internal_reference
2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。
nndl.github.io
《神经网络与深度学习》 Neural Network and Deep Learning
Play-with-Algorithm-Visualization
Codes of my MOOC Course <Play with Algorithm Visualization>. Updated contents and more demos or practices are also included. 我在慕课网上的课程《看得见的算法》Java示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
Play-with-Algorithms
Codes of my MOOC Course <Play with Algorithms>, Both in C++ and Java language. Updated contents and practices are also included. 我在慕课网上的课程《算法与数据结构》示例代码，包括C++和Java版本。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
Play-with-Data-Structures
Codes of my MOOC Course <Play Data Structures in Java>. Updated contents and practices are also included. 我在慕课网上的课程《Java语言玩转数据结构》示例代码。课程的更多更新内容及辅助练习也将逐步添加进这个代码仓。
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
The-Art-of-Linear-Algebra
Graphic notes on Gilbert Strang's "Linear Algebra for Everyone"
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.