Weights & Biases
Weights & Biases allows for experiment tracking, hyperparameter optimization and model and dataset versioning. With just 5 lines of code, you can track, compare, and visualise ML experiments. Add a few lines of code to your script and you'll be able to see live updates to your dashboard each time you train a different version of your model. Our hyperparameter search tool is scalable to a massive scale, allowing you to optimize models. Sweeps plug into your existing infrastructure and are lightweight. Save all the details of your machine learning pipeline, including data preparation, data versions, training and evaluation. It's easier than ever to share project updates.
Add experiment logging to your script in a matter of minutes. Our lightweight integration is compatible with any Python script.
W&B Weave helps developers build and iterate their AI applications with confidence.
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Azure Machine Learning
Accelerate the entire machine learning lifecycle. Developers and data scientists can have more productive experiences building, training, and deploying machine-learning models faster by empowering them. Accelerate time-to-market and foster collaboration with industry-leading MLOps -DevOps machine learning. Innovate on a trusted platform that is secure and trustworthy, which is designed for responsible ML. Productivity for all levels, code-first and drag and drop designer, and automated machine-learning. Robust MLOps capabilities integrate with existing DevOps processes to help manage the entire ML lifecycle. Responsible ML capabilities – understand models with interpretability, fairness, and protect data with differential privacy, confidential computing, as well as control the ML cycle with datasheets and audit trials. Open-source languages and frameworks supported by the best in class, including MLflow and Kubeflow, ONNX and PyTorch. TensorFlow and Python are also supported.
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Azure DevOps Server
Integrated software delivery tools hosted on premisis allow you to share code, track work and ship software. You can use all Azure DevOps services, or only the ones that you need to enhance your existing workflows.
Azure DevOps Server, formerly known as Team Foundation Server (TFS), is a collection of software development tools that can be used together. It is hosted on-premises. Azure DevOps Server can integrate with your existing editor or IDE, allowing your cross-functional team members to work efficiently on projects of any size.
Azure DevOps Server is source code management software, and includes features such as access Controls/Permissions, bug tracking, build automation, change management, code review, collaboration, continuous integration, and version control.
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TensorFlow
Open source platform for machine learning. TensorFlow is a machine learning platform that is open-source and available to all. It offers a flexible, comprehensive ecosystem of tools, libraries, and community resources that allows researchers to push the boundaries of machine learning. Developers can easily create and deploy ML-powered applications using its tools. Easy ML model training and development using high-level APIs such as Keras. This allows for quick model iteration and debugging. No matter what language you choose, you can easily train and deploy models in cloud, browser, on-prem, or on-device. It is a simple and flexible architecture that allows you to quickly take new ideas from concept to code to state-of the-art models and publication. TensorFlow makes it easy to build, deploy, and test.
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