bnusss / 2023-Big-Data-Driven-Artificial-Intelligence
☆52Updated last year
Alternatives and similar repositories for 2023-Big-Data-Driven-Artificial-Intelligence:
Users that are interested in 2023-Big-Data-Driven-Artificial-Intelligence are comparing it to the libraries listed below
- 图深度学习(葡萄书),在线阅读地址: https://datawhalechina.github.io/grape-book☆218Updated 9 months ago
- 张量计算系列教程 (Tensor Computations Tutorials)☆113Updated last year
- A Note for Machine Learning Algorithms☆87Updated 2 years ago
- A lecture note for understanding deep learning☆273Updated last month
- 《科研论文配图》组队学习☆76Updated last year
- 2019秋季学期泛函分析笔记QAQ☆53Updated 2 years ago
- ☆15Updated last year
- tinybig for deep function learning☆60Updated 2 months ago
- ☆154Updated this week
- 谷歌学术爬取GUI版本☆69Updated last year
- Cognitive agents and social evolution simulator☆21Updated last month
- Python科研论文配图绘制指南配套资料☆92Updated last year
- everything about llm & aigc☆56Updated last month
- cs224w(图机器学习)2021冬季课程的colab☆236Updated 3 years ago
- 谷歌学术爬虫,根据搜索词汇总信息表格并保存☆82Updated 10 months ago
- Crowdfunding open source projects: use OpenReview's high-quality review data to fine-tune a professional review and response LLM. 众筹开源项 目:…☆197Updated last year
- ☆278Updated 7 years ago
- some important properties on random matrix theory and its applications in multiple areas☆105Updated 6 years ago
- 自制的爱斯维尔期刊的LaTeX投稿工作流程模板☆15Updated 5 months ago
- Collection of papers relating data-driven higher-order graph/networks researches.☆69Updated 2 years ago
- 关于causal discovery, invariant learning, machine learning等方向的论文阅读笔记和slides总结☆28Updated 2 months ago
- Gumbel Graph Network (GGN) : A General Deep Learning Framework for Network Reconstruction☆70Updated 5 years ago
- https://hml.boyuai.com☆392Updated last year
- Causal Effect Engine is a Golang package for causal inference☆18Updated 3 years ago
- 机器学习学习笔记和代码☆97Updated 2 years ago
- NetworkX programming practice basic course source code☆67Updated 2 years ago
- A Chinese learning note with python codes for Pattern Recognition and Machine Learning.☆26Updated 6 years ago
- 《自然语言处理:大模型理论与实践》配套数据和代码☆51Updated last month
- 本项目是对《Neural Networks from Scratch in Python》读后的总结,在本项目中将应用Python(numpy)从0开始实现一个全连接神经网络,提供所有可运行代码,并对每一段代码加入注释(自己的理解)。本项目内容包括:全连接层、激活函数、损失…☆49Updated last year
- Solution and Useful Links☆41Updated 2 years ago