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Starred Repositories
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What I Wish I Knew When Learning Haskell
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The New Yorker (azw3/epub/pdf)
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Berkeley CS182/282A Designing, Visualizing and Understanding Deep Neural Networks
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This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."
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My assignment solutions for Stanford’s CS231n (CNNs for Visual Recognition) and Michigan’s EECS 498-007/598-005 (Deep Learning for Computer Vision), version 2020.
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Simple examples to introduce PyTorch
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Public facing notes page
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A list of deep neural network architectures for reinforcement learning tasks.
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DL course co-developed by YSDA, HSE and Skoltech
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JAX - A curated list of resources https://github.com/google/jax