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1. a2c a2c Public

   An implementation of the Synchronous Advantage Actor Critic (A2C) reinforcement learning algorithm in PyTorch.

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2. coord_conv coord_conv Public

   An evaluation of the approach from the CoordConv Uber paper.

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3. he_init_variance he_init_variance Public

   This repository demonstrates diminishing input signal variance when using the Kaiming He weight initialization method.

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4. evolution_simulator_1 evolution_simulator_1 Public

   Forked from PaperStarProductions/evolution_simulator_1

   This repository has an evolution simulator file that runs in Python

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5. collision_detection collision_detection Public

   Collision detection implemented with the sweep and prune algorithm, written in python.

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6. pytorch_linear_init pytorch_linear_init Public

   An experiment of the PyTorch 1.13.1 linear parameter init variance preserving properties against the He approach.

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