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.github Bump the github-actions group with 6 updates Mar 1, 2025 ci Install jq package in the ml build container Mar 11, 2025 tensorflow Automated Code Change Mar 13, 2025 third_party [XLA] Add a runner with 1 L4 GPU to GPU nightly workflows ...
Opening the image classifier notebook The default container image that's used by GitHub Codespaces includes a set of machine learning libraries that are preinstalled in your codespace. For example, Numpy, pandas, SciPy, Matplotlib, seaborn, scikit-learn, Keras, PyTorch, Requests, and ...
However, there’s also a general feeling of inflation permeating the community. Hundreds of thousands of open source AI models are now available. Many are toys or weekend projects. Models go up and down the rankings, some of them experiencing meteoric rises by Github star standards (a flawed ...
机器学习(Machine Learning, ML)是AI的核心技术,通过算法和模型让计算机从数据中学习规律,并利用这些规律进行预测或决策。常见的机器学习分类包括监督学习、无监督学习、半监督学习和强化学习。典型应用场景包括Netflix的个性化推荐系统、银行的信用评分模型以及股票市场预测。
https://github.com/trekhleb/homemade-machine-learning/blob/master/homemade/linear_regression/linear_regression.py Demo | 单变量线性回归:用GDP预测城市幸福指数 https://nbviewer.jupyter.org/github/trekhleb/homemade-machine-learning/blob/master/notebooks/linear_regression/univariate_linear_regression_demo...
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%...
开始使用 GitHub Actions 以便在 Azure 机器学习上训练模型。 本文介绍如何创建生成机器学习模型并将其部署到 Azure 机器学习的GitHub Actions工作流。 你将基于纽约出租车数据集训练 scikit-learn 线性回归模型。 GitHub Actions 使用存储库中 /.github/workflows/ 路径下的工作流 YAML (.yml) 文件。 此定义包含组成...
吴恩达机器学习github资料 machine learning 吴恩达 一. 引言 1. 什么是机器学习 机器学习(Machine Learning):是研究计算机怎样模拟或实现人类的学习行为,以获取新的知识或技能,重新组织已有的知识结构使之不断改善自身的性能。一个程序被认为能从经验E中学习,解决任务 T,达到性能度量值P,当且仅当,有了经验E后,...