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@@ -573,7 +573,7 @@
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1. [Netron](https://github.com/lutzroeder/netron) - Visualizer for deep learning and machine learning models
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2. [Jupyter Notebook](http://jupyter.org) - Web-based notebook environment for interactive computing
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3. [TensorBoard](https://github.com/tensorflow/tensorboard) - TensorFlow's Visualization Toolkit
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-4. [Visual Studio Tools for AI](https://visualstudio.microsoft.com/downloads/ai-tools-vs) - Develop, debug and deploy deep learning and AI solutions
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+4. [Visual Studio Tools for AI](https://www.microsoft.com/en-us/research/project/visual-studio-code-tools-ai/) - Develop, debug and deploy deep learning and AI solutions
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5. [TensorWatch](https://github.com/microsoft/tensorwatch) - Debugging and visualization for deep learning
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6. [ML Workspace](https://github.com/ml-tooling/ml-workspace) - All-in-one web-based IDE for machine learning and data science.
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7. [dowel](https://github.com/rlworkgroup/dowel) - A little logger for machine learning research. Log any object to the console, CSVs, TensorBoard, text log files, and more with just one call to `logger.log()`
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Sajal Tiwari