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Material to accompany my book series "Probabilistic Machine Learning" (Software, Data, Exercises, Figures, etc) 1.3kfollowers http://probml.ai @sirbayes murphyk@gmail.com Overview Repositories30 Projects Packages People3 More PinnedLoading
GitHub资源:https://github.com/josephmisiti/awesome-machine-learning 3、scikit-learn/scikit-learn Introduction scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license. GitHub资源:https://github.com/scikit-learn/scikit-learn 4、fchol...
Introduction 1 Machine Learning Best Practices in Healthcare and Life Sciences AWS Whitepaper This flood of data can completely overwhelm manual review teams and risk delays in reporting to the FDA within the mandated time limits, resulting in the potential for formal w...
Here we introduce a self-supervised learning framework to enable robots to model and predict their morphology, kinematics and motor control using only brief raw video data, eliminating the need for extensive real-world data collection and kinematic priors. By observing their own movements, akin to ...
Learn about working on machine learning projects with GitHub Codespaces and its out-of-the-box tools.
https://github.com/trekhleb/homemade-machine-learning 【注:划线链接部分请点击底部“阅读原文”访问】 对于此仓库的Octave / MatLab版本,请查看machine-learning-octave项目。 本仓库包含在Python中实现的流行机器学习算法的示例,其中包含算法背后的解释。 每个算法都有交互式Jupyter Notebook演示,你可以使用它来训练...
it is often necessary to make approximations that sacrifice accuracy. Here we present a machine-learning framework that performs complete binary neutron star inference in just 1 s without making any such approximations. Our approach enhances multi-messenger observations by providing: (1) accurate loc...
文章来源:GitHub 1、tensorflow/tensorflow Introduction Computation using data flow graphs for scalable machine learning GitHub资源:https://github.com/tensorflow/tensorflow 2、josephmisiti/awesome-machine-learning Introduction A curated list of awesome Machine Learning frameworks, libraries and software. ...
《Machine Learning Yearning》是吴恩达历时两年,根据自己多年实践经验整理出来的一本机器学习、深度学习实践经验宝典。作为一本 AI 实战圣经,本书主要教你如何在实践中使机器学习算法的实战经验。 Github: https://github.com/deeplearning-ai/machine-learning-yearning-cnlinks.jianshu.com/go?to=https%3A%2F%...