databricks/databricks-ml-examplesis a repository to show machine learning examples on Databricks platforms. Currently this repository contains: llm-models/: Example notebooks to use differentState of the art (SOTA) models on Databricks. llm-fine-tuning/: Fine tuning scripts and notebooks to fine tun...
Central to ML.NET is a machine learningmodel. The model specifies the steps needed to transform your input data into a prediction. With ML.NET, you can train a custom model by specifying an algorithm, or you can import pretrained TensorFlow and Open Neural Network Exchange (ONNX) models. ...
The azureml-examples repository contains examples and tutorials to help you learn how to use Azure Machine Learning (Azure ML) services and features. Getting Started If you're getting started with Azure ML, consider working through ourtutorialsfor the v2 Python SDK. You may also want to read ...
Find out how machine learning (ML) plays a part in our daily lives and work with these real-world machine learning examples.
论文5:Adversarial Examples Improve Image Recognition 作者:Cihang Xie、Mingxing Tan、Boqing Gong、Jiang Wang、Alan Yuille、Quoc V. Le论文地址:https://arxiv.org/pdf/1911.09665v1.pdf实现地址:https://github.com/tensorflow/tpu/tree/ master/models/official/efficientnet 摘要:对抗样本经常被认为是卷积神经...
, type=AssetTypes.MLFLOW_MODEL ) ml_client.models.create_or_update(run_model) Next steps Now that you have a trained model, learn how to deploy it using an online endpoint. For more examples, see the Azure Machine Learning examples GitHub repository. For more information on the Azure CLI...
LinkWhy train many ML models? While cutting edge applications of machine learning are leading to an explosion in model size, the need for many models cuts across industries. As a few examples: Models per geographical zone at Instacart:Instacart uses machine learning for a huge variety of tasks...
Learn how to build production-ready machine learning systems with real-world examples and best practices. 🔋 Deploy ZenML For full functionality ZenML should be deployed on the cloud to enable collaborative features as the central MLOps interface for teams. Read more about various deployment ...
Explanations in Real Time. (from Dan Suciu) 7. Few-Shot Learning with Class Imbalance. (from Amos Storkey) 8. Robust Text CAPTCHAs Using Adversarial Examples. (from Cho-Jui Hsieh) 9. Geometric Entropic Exploration. (from Rémi Munos) 10. Do We Really Need Deep Learning Models for Time ...
Discover the top vector databases by reading The 5 Best Vector Databases | A List With Examples. 2. LangChain LangChain is a versatile and powerful framework for developing applications powered by language models. It offers several components to enable developers to build, deploy, and monitor cont...