ZhiningLiu1998 / awesome-machine-learning-resourcesLinks
😎 A curated list of awesome lists across all machine learning topics. | 机器学习/深度学习/人工智能一切主题 (学习范式/任务/应用/模型/道德/交叉学科/数据集/框架/教程) 的资源列表汇总。
☆613Updated 2 years ago
Alternatives and similar repositories for awesome-machine-learning-resources
Users that are interested in awesome-machine-learning-resources are comparing it to the libraries listed below
Sorting:
- Collect awesome best papers from top AI conferences.☆479Updated 3 years ago
- 整理AI相关领域的一些综述☆379Updated 4 years ago
- A curated list of all kinds of learning resources, blogs, books, videos and so on.☆404Updated 4 years ago
- Classic papers for beginners, and impact scope for authors.☆304Updated 3 years ago
- MLNLP: Paper Picture Writing Code☆1,206Updated 3 years ago
- MLNLP社区用来更好进行论文搜索的工具。Fully-automated scripts for collecting AI-related papers☆1,169Updated last year
- 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,50余万字。声明 :所有内容来自(仅供学习):https://github.com/scutan90/DeepLearni…☆623Updated 6 years ago
- 记录一些读过的论文,给出个人对论文的评分情况并简述论文insight☆161Updated 3 years ago
- A Note for Machine Learning Algorithms☆114Updated 4 months ago
- ☆146Updated 3 years ago
- 🔥数据科学竞赛 Baseline & Topline☆141Updated 2 years ago
- 机器 学习面试复习资源☆1,220Updated 2 years ago
- 图深度学习(葡萄书),在线阅读地址: https://datawhalechina.github.io/grape-book☆255Updated last year
- awesome material☆371Updated 6 years ago
- 一份中文综述文章列表(自然语言处理&机器学习)☆569Updated 2 years ago
- 深度学习近年来关于神经网络模型解释性的相关高引用/顶会论文(附带代码)☆762Updated last year
- Datawhale NLP 面筋☆229Updated 4 years ago
- 全中文的人工智能教程和推荐资料,只选“精品”,如“钻石”般精致。☆113Updated 4 years ago
- 😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切:论文、代码、框架与库☆1,497Updated 8 months ago
- Matplotlib中文教程,在线阅读地址:https://datawhalechina.github.io/fantastic-matplotlib/☆517Updated 3 years ago
- 主要存储Datawhale组队学习中“自然语言处理”方向的资料。☆927Updated 4 years ago
- 经典机器学习算法的极简实现☆185Updated last year
- Build deep learning applications in a new and easy way.☆241Updated 11 months ago
- 《机器学习理论导引》(宝箱书)的证明、案例、概念补充与参考文献讲解。☆1,655Updated 2 weeks ago
- 百面深度学习-学习☆86Updated 4 years ago
- 《Machine Learning: A Probabilistic Perspective》(Kevin P. Murphy)中文翻译和书中算法的Python实现。☆623Updated last month
- A curated list of awesome Active Learning☆782Updated last year
- Everything you need about Active Learning (AL).☆941Updated last year
- Quickly bring up your PyTorch project(a skeleton)☆740Updated 3 years ago
- 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,50余万字。声明:所有内容来自(仅供学习):https://github.com/scutan90/DeepLearni…☆43Updated 6 years ago