before binary operator # E226: Missing white space around arithmetic operator [tool.pyupgrade] py39plus = true # Pytest [tool.pytest.ini_options] testpaths = ["tests"] python_files = "test_*.py" # Pytest cov [tool.coverage.run] omit=["madewithml/evaluate.py", "madewithml/serve.py"...
Learn how to design, develop, deploy and iterate on production-grade ML applications. - Made-With-ML/Makefile at main · rachmadideni/Made-With-ML
For example, if we want to apply formatting checks with Black as a hook, we can leverage Black's pre-commit hook.1 2 3 4 5 6 7 8 9 # Inside .pre-commit-config.yaml ... - repo: https://github.com/psf/black rev: 20.8b1 hooks: - id: black args: [] files: . ... ...
Made With ML Applied ML · MLOps · Production Join 30K+ developers in learning how to responsibly deliver value with ML. 🔥 Among the top MLOps repositories on GitHub Foundations 通过直观的解释、清晰的代码和视觉效果来学习ML的基础。 Lessons: https://madewithml.com/#foundations Code: ...
要开始学习Made With ML课程,可以按照以下步骤进行: 访问Made With ML网站浏览课程内容。 克隆GitHub仓库获取所有代码和资源。 按照设置指南配置学习环境。 从Jupyter notebook开始,交互式地学习核心机器学习工作流程。 深入研究Python脚本,学习如何将notebook中的代码重构为生产级应用。
git clone https://github.com/GokuMohandas/Made-With-ML.git . We can then make changes to the code and Git, which is running locally on our computer, will keep track of our files and it's versions as we add and commit our changes. But it's not enough to just version our code ...
最后,附上该网站地址,感兴趣的话可前往查阅: madewithml.com/resource -- 文末,照旧安利一波我们的公众号:GitHubDaily,目前每天都会在上面更新至少 3 篇文章,主要分享比较实用或有趣的开发工具与开源项目,偶尔也会聊聊技术圈内最近发生的新鲜事,感兴趣的小伙伴可以关注一下哈。
届时,小 G 也会在公众号 GitCube 上发布文章,再次跟大家详细介绍。 最后,附上该网站地址,感兴趣的话可前往查阅: https://madewithml.com/resources/ 觉得本文对你有所帮助的同学,也欢迎多多分享到朋友圈或给个在看,你们的支持是我更新的主要动力,谢谢各位。
使用NumPy Basics之类的数据科学库:fire:GitHub上排名前10的ML回购库中,用笔记本学习Python基础。 使用NumPy和Pandas等数据科学库。 在TensorFlow 2.0 + Keras或PyTorch中实现基本的ML模型。 通过简洁的代码,简单的数学和可视化来学习最佳实践。 :notebook:笔记本:snake:Python:input_numbers:NumPy:panda:Pandas TensorFlow...
You can find more ML.NET samples on GitHub, or take a look at the ML.NET tutorials. Custom ML made easy with AutoML ML.NET offers Model Builder (a simple UI tool) and ML.NET CLI to make it super easy to build custom ML Models. These tools use Automated ML (AutoML), a cutting ...