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SaiPenamakuri saipenamakuri

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I work as a ML Applied Scientist at Tractable. My work focuses on visual/textual multimodal deep learning.

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reinforcement-learning reinforcement-learning 553F Public

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Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

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Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

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A pytorch implementation of the paper: "Skip RNN: Learning to Skip State Updates in Recurrent Neural Networks"

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DCRNN_PyTorch DCRNN_PyTorch Public

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