Movie Analysis
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Tutorials | 8,562 | 3 years ago | 13 | mit | Python | |||||
| 机器学习相关教程 | ||||||||||
| Superduperdb | 3,924 | 3 months ago | 5 | January 13, 2023 | 162 | apache-2.0 | Python | |||
| 🔮 SuperDuperDB: Bring AI to your database! Build, deploy and manage any AI application directly with your existing data infrastructure, without moving your data. Including streaming inference, scalable model training and vector search. | ||||||||||
| Hands On Ml Zh | 3,736 |  | 2 | 3 years ago | 1 | September 19, 2020 | 19 | CSS | ||
| :book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】 | ||||||||||
| Igel | 3,037 | a year ago | 34 | November 19, 2021 | 6 | mit | Python | |||
| a delightful machine learning tool that allows you to train, test, and use models without writing code | ||||||||||
| Kserve | 2,719 |  | 9 | 3 months ago | 20 | November 17, 2023 | 350 | apache-2.0 | Python | |
| Standardized Serverless ML Inference Platform on Kubernetes | ||||||||||
| Deeplearning | 2,347 | 4 years ago | 3 | mit | Python | |||||
| Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现 | ||||||||||
| Aws Machine Learning University Accelerated Nlp | 2,150 | 8 months ago | 1 | other | Jupyter Notebook | |||||
| Machine Learning University: Accelerated Natural Language Processing Class | ||||||||||
| Awesome Python Data Science | 2,126 | 6 months ago | 1 | cc-by-4.0 | ||||||
| Probably the best curated list of data science software in Python. | ||||||||||
| Karateclub | 1,950 |  | 4 | 8 months ago | 107 | October 22, 2022 | 6 | gpl-3.0 | Python | |
| Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020) | ||||||||||
| Hyperlearn | 1,387 | 2 years ago | apache-2.0 | Jupyter Notebook | ||||||
| 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old. | ||||||||||
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