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清华大学计算机系课程攻略 Guidance for courses in Department of Computer Science and Technology, Tsinghua University
🧠 Laws, Theories, Principles and Patterns for developers and technologists.
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）
Knife4j is a set of Swagger2 and OpenAPI3 All-in-one enhancement solution
Course materials for the Data Science Specialization: https://www.coursera.org/specialization/jhudatascience/1
Source Code for the book: Machine Learning in Action published by Manning
A curated list of safety-related papers, articles, and resources focused on Large Language Models (LLMs). This repository aims to provide researchers, practitioners, and enthusiasts with insights i…
算法刷题指南、Java多线程与高并发、Java集合源码、Spring boot、Spring Cloud等笔记，源码级学习笔记后续也会更新。
Slides, paper notes, class notes, blog posts, and research on ML 📉, statistics 📊, and AI 🤖.
🚀100 Times Faster Natural Language Processing in Python - iPython notebook
A set of Gradle plugins that configure default code quality tools for developers.
Nano Banana Pro 全网最全提示词整理
吴恩达（Andrew Ng）在coursera的机器学习课程习题的python实现
yuquanle / NLP-progress
Forked from CortexFoundation/NLP-progressRepository 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.
The Code belonging to my course "Data Analysis in Python and pandas"
A Data Visualization project on the French traffic accidents database
A smart, efficient and powerful automated configuration platform through the SaltStack and Ansible
Notes, Codes, and Tutorials for the Deep Learning Course at ChinaHadoop