Features·Roadmap·Report Bug·Sign up for ZenML Pro·Read Blog·Contribute to Open Source·Projects Showcase 🎉 Version 0.82.1 is out. Check out the release noteshere. 🖥️ Download our VS Code Extensionhere. Apache License Version 2.0, January 2004 https://www.apache.org/licenses/ TER...
This codebase has been tested with PyTorch 2.4 with NVIDIA A100s and H100s. This codebase may also work on systems with other devices, such as consumer NVIDIA cards and AMD cards, but we are not actively testing these systems. If you have success/failure using LLM Foundry on other system...
source code of 机器学习算法原理与编程实践 机器学习 算法原理与编程实践 本书的特点之一是从结构上阐明了研究机器学习理论和算法的方法。最重要的不是数学,也不是这些算法本身,而是思想的发展过程,这与之前所有的书籍有所不同。全书分为三条主线。 第一条主线是从第一代神经网络(线性分类器)、第二代神经网络(...
View source code (GitHub) Today, we are excited to release optimizations to Core ML forStable Diffusionin macOS 13.1 and iOS 16.2, along with code to get started with deploying to Apple Silicon devices. Figure 1: Images generated with the prompts, "a high quality photo of an astronaut ridin...
A way to run Python based MLOps without using MLflow Project, but still using MLflow for managing the end-to-end machine learning lifecycle. Sample of machine learning source code structure along with Unit Test cases Sample of MLOps code structure along with Unit Test cases Demo set...
Enabling an ecosystem of specialized best-in-class open source projects and ISV software that complement and extend the platform.Hybrid cloud AI/ML platform capabilities Learn about the capabilities of a hybrid cloud AI/ML platform including AI workloads, an integrated MLOps and application development...
Interactive debugging with Visual Studio Code In some cases, you might need to interactively debug the Python code used in your ML pipeline. By using Visual Studio Code (VS Code) and debugpy, you can attach to the code as it runs in the training environment. For more information, visit th...
Source code|Package (PyPI)|Package (Conda)|API reference documentation|Product documentation|Samples This package has been tested with Python 3.8, 3.9, 3.10, 3.11, 3.12 and 3.13. For a more complete set of Azure libraries, seehttps://aka.ms/azsdk/python/all ...
Machine learning (ML) is everywhere. We use ML empowered applications every day: when choosing the next TV series to watch based on Netflix recommendations for example, or when asking Alexa to play our favorite song. Soon every application on every platform will incorporate some ML capabilities,...
Integration with Visual Studio Code provides a unified environment for coding, debugging, and managing ML projects. This streamlines the entire ML workflow, reducing context switching and saving time. The integration also enhances collaboration amo...