Skip to content
View bemova's full-sized avatar

Highlights

  • Pro

Block or report bemova

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse

Pinned Loading

  1. Deep_reinforcement_learning Deep_reinforcement_learning Public

    Deep reinforcement learning solution for some open AI gym environments.

    Python 1

  2. GAN_Generative_Adversarial_Network GAN_Generative_Adversarial_Network Public

    GAN(Generative Adversarial Network) sample for Google quick draw dataset with tensorflow and keras.

    Python 3 1

  3. sarsa_lambda_reinforcement_learning sarsa_lambda_reinforcement_learning Public

    A reinforcement learning sample in python with sarsa lambda approach.

    Python 3 2

  4. Q_lambda_reinforcement_learning Q_lambda_reinforcement_learning Public

    Q lambda approach sample in a Reinforcement Learning with python

    Python 1 1

  5. Deep-Compression-Compressing-Deep-Neural-Networks-with-Pruning-Trained-Quantization-and-Huffman Deep-Compression-Compressing-Deep-Neural-Networks-with-Pruning-Trained-Quantization-and-Huffman Public

    It is a pytorch implementation of https://arxiv.org/abs/1510.00149 paper.

    Python 28 11

  6. Building-Efficient-ConvNets-using-Redundant-Feature-Pruning Building-Efficient-ConvNets-using-Redundant-Feature-Pruning Public

    It is a Pytorch implementation of https://arxiv.org/pdf/1802.07653.pdf paper.

    Python 3 1