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23 search results found

Bender ⭐ 1,759

Easily craft fast Neural Networks on iOS! Use TensorFlow models. Metal under the hood.

Cifar 10 Cnn ⭐ 726

Play deep learning with CIFAR datasets

Deep Xi: A deep learning approach to a priori SNR estimation implemented in TensorFlow 2/Keras. For speech enhancement and robust ASR.

Edsr Tensorflow ⭐ 298

Tensorflow implementation of Enhanced Deep Residual Networks for Single Image Super-Resolution

Keras Resnet ⭐ 273

Keras package for deep residual networks

Spatially Adaptive Computation Time for Residual Networks

Resunetplusplus ⭐ 135

Official code for ResUNetplusplus for medical image segmentation (TensorFlow & Pytorch implementation) (IEEE ISM)

Stresnet ⭐ 79

A TensorFlow Implementation of Deep Spatio-Temporal Residual Networks (ST-ResNet): https://arxiv.org/abs/1610.00081

Very Deep Convnets Raw Waveforms ⭐ 64

Tensorflow - Very Deep Convolutional Neural Networks For Raw Waveforms - https://arxiv.org/pdf/1610.00087.pdf

Edsr_tensorflow ⭐ 60

TensorFlow implementation of 'Enhanced Deep Residual Networks for Single Image Super-Resolution'.

Wideresnet Tensorlayer ⭐ 43

Wide Residual Networks implemented in TensorLayer and TensorFlow.

This repository contains code implementing the paper, Full Resolution Residual Networks for Semantic Segmentation in Street Scenes (FRRN) in Tensorflow.

Resnet Tensorflow ⭐ 32

Modular Residual Networks implemented in TensorFlow. Easily change hyperparameters in a few lines.

Alphago Zero Gobang ⭐ 25

Meta-Zeta是一个基于强化学习的五子棋(Gobang)模型，主要用以了解AlphaGo Zero的运行原理的Demo，即神经网络是如何指导MCTS做出决策的，以及如何自我对弈学习。源码+教

NanoNet: Real-time medical Image segmentation architecture (IEEE CBMS)

Wrn Tensorflow ⭐ 18

A tensorflow implementation of Wide Residual Networks(https://arxiv.org/abs/1605.07146)

Cardrivingresnet ⭐ 17

Browser game where a vehicle is driven through the camera using the ResNet model (Residual Network) to estimate the position of the hands.

Myalphagozeroonconnect4 ⭐ 15

My Simple Implementation of AlphaGo Zero on Connect4

Super Resolution Net ⭐ 15

SRNet 的 Keras 实现

Faciallivenesstests ⭐ 13

Liveness Tests For Facial Recognition

Retinal Disease Diagnosis With Residual Attention Networks ⭐ 13

Using Residual Attention Networks to diagnose retinal diseases in medical images

Neural Networks And Deep Learning ⭐ 9

Deep learning projects including applications (face recognition, neural style transfer, autonomous driving, sign language reading, music generation, translation, speech recognition and NLP) and theories (CNNs, RNNs, LSTM, Adam, Dropout, BatchNorm, Xavier/He initialization, hyperparameter tuning, regularization, optimization, Residual Networks). Deep Learning Specialization by Andrew Ng, deeplearning.ai

MDSR 的 Keras 实现

ND-Adam is a tailored version of Adam for training DNNs.

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