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5 search results found

[CVPR2020] Adversarial Latent Autoencoders

TensorFlow implementation of Independently Recurrent Neural Networks

Indrnn Pytorch ⭐ 96

pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831

Thermodynamicsgnn ⭐ 62

Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).

How To Train Your Neural Net ⭐ 55

Deep learning research implemented on notebooks using PyTorch.

Re Cnn Pytorch ⭐ 33

PyTorch implementation of relation extraction via convolutional neural network with multi-size convolution kernels.

Recsystem Pytorch ⭐ 27

推荐系统论文算法实现，包括序列推荐，多任务学习，元学习等。 Recommendation system papers implementations, including sequence recommendation, multi-task learning, meta-learning, etc.

Structurepreservingnn ⭐ 15

Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).

Deeplearningmor ⭐ 11

Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechanics and Engineering (CMAME).

Deeplearning ⭐ 10

Deep Learning Concepts and Research Paper Implementations.

Bag Of Samplings ⭐ 8

📜 Official implementation of the paper "Bag of Samplings for Parkinson's Disease Diagnosis based on Recurrent Neural Networks"

Random Erasing Tensorflow ⭐ 8

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

Texture Synthesis Using Convolutional Neural Networks ⭐ 8

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

Deep Learning Paper Implementation ⭐ 5

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

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