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@@ -215,7 +215,7 @@
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5. [ Alex Krizhevsky ](http://www.cs.utoronto.ca/~kriz/index.html)
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6. [ Alexander Ilin ](http://users.ics.aalto.fi/alexilin/)
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7. [ Amos Storkey ](http://homepages.inf.ed.ac.uk/amos/)
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-8. [ Andrej Karpathy ](http://cs.stanford.edu/~karpathy/)
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+8. [ Andrej Karpathy ](https://karpathy.ai/)
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9. [ Andrew M. Saxe ](http://www.stanford.edu/~asaxe/)
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10. [ Andrew Ng ](http://www.cs.stanford.edu/people/ang/)
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11. [ Andrew W. Senior ](http://research.google.com/pubs/author37792.html)
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@@ -565,6 +565,8 @@
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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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8. [Neptune](https://neptune.ml/) - Lightweight tool for experiment tracking and results visualization.
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9. [CatalyzeX](https://chrome.google.com/webstore/detail/code-finder-for-research/aikkeehnlfpamidigaffhfmgbkdeheil) - Browser extension ([Chrome](https://chrome.google.com/webstore/detail/code-finder-for-research/aikkeehnlfpamidigaffhfmgbkdeheil) and [Firefox](https://addons.mozilla.org/en-US/firefox/addon/code-finder-catalyzex/)) that automatically finds and links to code implementations for ML papers anywhere online: Google, Twitter, Arxiv, Scholar, etc.
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+10. [Determined](https://github.com/determined-ai/determined) - Deep learning training platform with integrated support for distributed training, hyperparameter tuning, smart GPU scheduling, experiment tracking, and a model registry.
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+11. [DAGsHub](https://dagshub.com/) - Community platform for Open Source ML – Manage experiments, data & models and create collaborative ML projects easily.
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### Miscellaneous
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Chaitanya Prakash Bapat