#自然语言处理#Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
翻译 - 通过从这些令人兴奋的演讲中学习，可以深入学习深度学习，强化学习，机器学习，计算机视觉和自然语言学习！
#计算机科学#It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers...
翻译 - 我相信本书主要面向的研究生和求职者将会受益于阅读它；然而，我希望即使是最有经验的研究人员也会发现它很吸引人。
Stan development repository. The master branch contains the current release. The develop branch contains the latest stable development. See the Developer Process Wiki for details.
A python tutorial on bayesian modeling techniques (PyMC3)
#计算机科学#Repository of notes, code and notebooks in Python for the book Pattern Recognition and Machine Learning by Christopher Bishop
#计算机科学#Bayesian inference with probabilistic programming.
#计算机科学#A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
翻译 - A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
Text and code for the second edition of Think Bayes, by Allen Downey.
#计算机科学#Gaussian processes in TensorFlow
Statistical package in Python based on Pandas
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
BAyesian Model-Building Interface (Bambi) in Python.
RStan, the R interface to Stan
Code for modelling estimated deaths and cases for COVID19.
翻译 - 用于为COVID19估算死亡人数和病例的建模代码。
#计算机科学#General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python
How to do Bayesian statistical modelling using numpy and PyMC3
A collection of Bayesian data analysis recipes using PyMC3
#计算机科学#Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine...