Machine Learning Links and Lessons Learned
List of all the lessons learned, best practices, and links from the author’s time studying machine learning
StarCraft II Learning Environment
Python module to easily generate text using a pretrained character-based recurrent neural network.
A framework to organize the process of designing supervised machine learning systems
Keras Weight Animator
Save keras weight matrices as short animated videos during training
Jupyter + Angular2
The jupyter angular2 stack for creating wire-frame UX.
Code for Deep RL from Human Preferences [Christiano et al]. Plus a webapp for collecting human feedback
A tensorflow implemention of EAST text detector
Training convnets to segment visual patterns without annotated data
A platform for developing AI systems as described in A Roadmap towards Machine Intelligence
A thin layer built for running Apache Spark on top of TiDB/TiKV
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