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15 search results found

Generative Adversarial Networks implemented in PyTorch and Tensorflow

TensorFlow implementation of Independently Recurrent Neural Networks

Tensorflow implementation of Neural Scene Representation and Rendering

Saliency ⭐ 140

Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]

Speaker Recognition Papers ⭐ 84

Share some recent speaker recognition papers and their implementations.

The Tensorflow code and a DeepMind Lab wrapper for my article "Meta-Reinforcement Learning" on FloydHub.

Two Step Task ⭐ 28

Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforcement Learn".

TensorFlow implementation of Graphical Attention Recurrent Neural Networks based on work by Cirstea et al., 2019.

Cyclegan ⭐ 17

A simple code of CycleGAN which is easy to read is implemented by TensorFlow

Official code for semantic parsing model "HSP" in paper "Complex Question Decomposition for Semantic Parsing"(ACL'19).

Deeplearning ⭐ 10

Deep Learning Concepts and Research Paper Implementations.

Texture Synthesis Using Convolutional Neural Networks ⭐ 8

Tensorflow implementation of paper - "Texture Synthesis Using Convolutional Neural Networks"

Implementation of paper "Do Wide and Deep Networks Learn the Same Things?"

Random Erasing Tensorflow ⭐ 8

A complete Tensorflow implementation of cutout random erasing (without numpy)

Deep Learning Paper Implementation ⭐ 5

From Scratch Implementation of some popular Deep Learning Papers with PyTorch and Tensorflow

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