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PyOfficeRobot

pip install PyOfficeRobot，微信机器人

Language:PythonMIT57800

LaTeX-Template-For-NPU-Thesis

西北工业大学本科毕业设计论文模版 | Thesis Template for Northwestern Polytechnical University

Language:TeXGPL-3.024800

SGN-41007

Supplementary materials for course "Pattern Recognition and Machine Learning" at

Language:Jupyter NotebookMIT5200

Machine-Learning-and-Pattern-Recognition

Implementation of Machine Learning Algorithms

Language:Python5000

Generative_Models_Tutorial_with_Demo

Generative Models Tutorial with Demo: Bayesian Classifier Sampling, Variational Auto Encoder (VAE), Generative Adversial Networks (GANs), Popular GANs Architectures, Auto-Regressive Models, Important Generative Model Papers, Courses, etc..

Language:Jupyter Notebook32600

bayesian-belief-networks

Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.

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pyBN

Bayesian Networks in Python

Language:PythonMIT14500

Probabilistic-Programming-and-Bayesian-Methods-for-Hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

Language:Jupyter NotebookMIT2653600

xv6-book-chinese

MIT操作系统工程的教学操作系统Xv6的源码剖析中文翻译项目，使用ANSI标准C重新在riscv架构上实现Unix v6；

Language:Shell32100

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

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