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add "v" to github paths: v1.3.x-latest
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jillnogold committed Apr 24, 2023
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" <a href=\"demos/mask-detection/README.md\"><img src=\"./assets/images/Jupyter-Logo-32px.png\"/><br>Open locally</a>\n",
" </td>\n",
" <td align=\"center\", style=\"min-width:45px; padding: 10px;\">\n",
" <a target=\"_blank\" href=\"https://github.com/mlrun/demos/tree/release/1.3.x-latest/mask-detection/\">\n",
" <a target=\"_blank\" href=\"https://github.com/mlrun/demos/tree/release/v1.3.x-latest/mask-detection/\">\n",
" <img src=\"./assets/images/GitHub-Mark-32px.png\"/><br>View on GitHub</a>\n",
" </td>\n",
" <td>This demo contains 3 notebooks where we:\n",
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" <a href=\"demos/fraud-prevention-feature-store/README.md\"><img src=\"./assets/images/Jupyter-Logo-32px.png\"/><br>Open locally</a>\n",
" </td>\n",
" <td align=\"center\", style=\"min-width:45px; padding: 10px;\">\n",
" <a target=\"_blank\" href=\"https://github.com/mlrun/demos/blob/release/1.3.x-latest/fraud-prevention-feature-store/\">\n",
" <a target=\"_blank\" href=\"https://github.com/mlrun/demos/blob/release/v1.3.x-latest/fraud-prevention-feature-store/\">\n",
" <img src=\"./assets/images/GitHub-Mark-32px.png\"/><br>View on GitHub</a>\n",
" </td>\n",
" <td>Demonstrates the feature store usage for fraud prevention: Data ingestion & preparation; Model training & testing; Model serving; Building An Automated ML Pipeline.\n",
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" <a href=\"demos/news-article-nlp/README.md\"><img src=\"./assets/images/Jupyter-Logo-32px.png\"/><br>Open locally</a>\n",
" </td>\n",
" <td align=\"center\", style=\"min-width:45px; padding: 10px;\">\n",
" <a target=\"_blank\" href=\"https://github.com/mlrun/demos/tree/release/1.3.x-latest/news-article-nlp/\"><img src=\"./assets/images/GitHub-Mark-32px.png\"/><br>View on GitHub</a>\n",
" <a target=\"_blank\" href=\"https://github.com/mlrun/demos/tree/release/v1.3.x-latest/news-article-nlp/\"><img src=\"./assets/images/GitHub-Mark-32px.png\"/><br>View on GitHub</a>\n",
" </td>\n",
" <td>This demo creates an NLP pipeline that summarizes and extract keywords from a news article URL. We will be using state-of-the-art transformer models. such as BERT. to perform these NLP tasks.\n",
"Additionally, we will use MLRun's real-time inference graphs to create the pipeline. This allows for easy containerization and deployment of the pipeline on top of a production-ready Kubernetes cluster.\n",
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" <a href=\"demos/network-operations/README.md\"><img src=\"./assets/images/Jupyter-Logo-32px.png\"/><br>Open locally</a>\n",
" </td>\n",
" <td align=\"center\", style=\"min-width:45px; padding: 10px;\">\n",
" <a target=\"_blank\" href=\"https://github.com/mlrun/demos/tree/release/1.3.x-latest/network-operations/\"><img src=\"./assets/images/GitHub-Mark-32px.png\"/><br>View on GitHub</a>\n",
" <a target=\"_blank\" href=\"https://github.com/mlrun/demos/tree/release/v1.3.x-latest/network-operations/\"><img src=\"./assets/images/GitHub-Mark-32px.png\"/><br>View on GitHub</a>\n",
" </td>\n",
" <td>This demo demonstrates how to build an automated machine-learning (ML) pipeline for predicting network outages based on network-device telemetry, also known as Network Operations (NetOps).\n",
"The demo implements feature engineering, model training, testing, inference, and model monitoring (with concept-drift detection).\n",
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" <a href=\"demosstocke-prediction/README.md\"><img src=\"./assets/images/Jupyter-Logo-32px.png\"/><br>Open locally</a>\n",
" </td>\n",
" <td align=\"center\", style=\"min-width:45px; padding: 10px;\">\n",
" <a target=\"_blank\" href=\"https://github.com/mlrun/demos/tree/release/1.3.x-latest/stocks-prediction/\"><img src=\"./assets/images/GitHub-Mark-32px.png\"/><br>View on GitHub</a>\n",
" <a target=\"_blank\" href=\"https://github.com/mlrun/demos/tree/release/v1.3.x-latest/stocks-prediction/\"><img src=\"./assets/images/GitHub-Mark-32px.png\"/><br>View on GitHub</a>\n",
" </td>\n",
" <td>This demo illustrates using Iguazio's latest technologies and methods for model serving, the platform feature store, and the MLRun frameworks (sub-modules for the most commonly \n",
"\t\tused machine and deep learning frameworks, providing features such as automatic logging, model management, and distributed training). The demo predicts stock prices, \n",
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" <a href=\"demos/howto/spark/spark-mlrun-read-csv.ipynb\"><img src=\"./assets/images/Jupyter-Logo-32px.png\"/><br>Open locally</a>\n",
" </td>\n",
" <td align=\"center\", style=\"min-width:45px; padding: 10px;\">\n",
" <a target=\"_blank\" href=\"https://github.com/mlrun/demos/blob/release/1.3.x-latest/howto/spark/spark-mlrun-read-csv.ipynb\"><img src=\"./assets/images/GitHub-Mark-32px.png\"/><br>View on GitHub</a>\n",
" <a target=\"_blank\" href=\"https://github.com/mlrun/demos/blob/release/v1.3.x-latest/howto/spark/spark-mlrun-read-csv.ipynb\"><img src=\"./assets/images/GitHub-Mark-32px.png\"/><br>View on GitHub</a>\n",
" </td>\n",
" <td>Demonstrates how to run a Spark job that reads a CSV file and logs the data set to an MLRun database.\n",
" </td>\n",
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" <a href=\"demos/howto/spark/spark-mlrun-describe.ipynb\"><img src=\"./assets/images/Jupyter-Logo-32px.png\"/><br>Open locally</a>\n",
" </td>\n",
" <td align=\"center\", style=\"min-width:45px; padding: 10px;\">\n",
" <a target=\"_blank\" href=\"https://github.com/mlrun/demos/blob/release/1.3.x-latest/howto/spark/spark-mlrun-describe.ipynb\"><img src=\"./assets/images/GitHub-Mark-32px.png\"/><br>View on GitHub</a>\n",
" <a target=\"_blank\" href=\"https://github.com/mlrun/demos/blob/release/v1.3.x-latest/howto/spark/spark-mlrun-describe.ipynb\"><img src=\"./assets/images/GitHub-Mark-32px.png\"/><br>View on GitHub</a>\n",
" </td>\n",
" <td>Demonstrates how to create and run a Spark job that generates a profile report from an Apache Spark DataFrame based on pandas profiling.\n",
" </td>\n",
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" <a href=\"demos/howto/spark/spark-operator.ipynb\"><img src=\"./assets/images/Jupyter-Logo-32px.png\"/><br>Open locally</a>\n",
" </td>\n",
" <td align=\"center\", style=\"min-width:45px; padding: 10px;\">\n",
" <a target=\"_blank\" href=\"https://github.com/mlrun/demos/blob/release/1.3.x-latest/howto/spark/spark-operator.ipynb\"><img src=\"./assets/images/GitHub-Mark-32px.png\"/><br>View on GitHub</a>\n",
" <a target=\"_blank\" href=\"https://github.com/mlrun/demos/blob/release/v1.3.x-latest/howto/spark/spark-operator.ipynb\"><img src=\"./assets/images/GitHub-Mark-32px.png\"/><br>View on GitHub</a>\n",
" </td>\n",
" <td>Demonstrates how to use <a target=\"_blank\" href=\"https://github.com/GoogleCloudPlatform/spark-on-k8s-operator\">Spark Operator</a> to run a Spark job over Kubernetes with MLRun.\n",
" </td>\n",
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