林宸棠's repositories
llm-cookbook
面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版
AI-For-Beginners
12 Weeks, 24 Lessons, AI for All!
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
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-programming-books
计算机类专业经典书籍集合，Java、Scala、C/C++、算法、计算机基础、数学、英语等电子书以及互联网大厂技术峰会资料
LinChentang
自我介绍
LinChentang.github.io
个人学习笔记网站
Book5_Essentials-of-Probability-and-Statistics
Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！
build-your-own-x
Master programming by recreating your favorite technologies from scratch.
C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
coding-interview-university
A complete computer science study plan to become a software engineer.
d2l-ai-solutions-manual
《动手学深度学习》习题解答
Data-Science-Notes
数据科学的笔记以及资料搜集
dockerlabs
Docker - Beginners | Intermediate | Advanced
eat_pyspark_in_10_days
pyspark🍒🥭 is delicious，just eat it!😋😋
eat_pytorch_in_20_days
Pytorch🍊🍉 is delicious, just eat it! 😋😋
Girls-In-AI
免费学代码系列：小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战
gpt_academic
为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。
leetcode-notes
🐳 LeetCode 算法笔记：面试、刷题、学算法。在线阅读地址：https://datawhalechina.github.io/leetcode-notes/
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
llm-universe
本项目是一个面向小白开发者的大模型应用开发教程，在线阅读地址：https://datawhalechina.github.io/llm-universe/
machine-learning-deep-learning-notes
机器学习、深度学习的学习路径及知识总结
Shiro
📜 A minimalist personal website embodying the purity of paper and freshness of snow.
so-large-lm
大模型理论基础
statistical-learning-method-solutions-manual
统计学习方法习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual
StudyNotes
个人学习笔记
team-learning-data-mining
主要存储Datawhale组队学习中“数据挖掘/机器学习”方向的资料。
tiny-universe
《大模型白盒子构建指南》：一个全手搓的Tiny-Universe
undingable-optimization
顶不住的运筹优化
unusual-deep-learning
水很深的深度学习