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19 search results found

Tensorflow Tutorial ⭐ 3,873

Tensorflow tutorial from basic to hard

Tensorflow Enet ⭐ 236

TensorFlow implementation of ENet

Tensorflow Mnist Cnn ⭐ 171

MNIST classification using Convolutional NeuralNetwork. Various techniques such as data augmentation, dropout, batchnormalization, etc are implemented.

Cifar10 Img Classification Tensorflow ⭐ 125

image classification with CIFAR10 dataset w/ Tensorflow

Feed Forward Style Transfer ⭐ 80

TensorFlow implementation of real-time style transfer using feed-forward generation. This builds on the original style-transfer algorithm and allows for common personal computers to transform images.

Keras Swa ⭐ 48

Simple stochastic weight averaging callback for Keras

Tensorflow Mnist Mlp Batch_normalization Weight_initializers ⭐ 46

MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.

Math_object_detection ⭐ 38

An image recognition/object detection model that detects handwritten digits and simple math operators. The output of the predicted objects (numbers & math operators) is then evaluated and solved.

Efficientdet ⭐ 20

PyTorch Implementation of the state-of-the-art model for object detection EfficientDet [pre-trained weights provided]

Groupnormalization Tensorflow Keras ⭐ 19

a Tensorflow implementation of Group Normalizations

Pointnet2 Tensorflow2 ⭐ 15

Pointnet++ modules implemented as tensorflow 2 keras layers.

Coursera Ng Improving Deep Neural Networks Hyperparameter Tuning Regularization And Optimization ⭐ 9

Short description for quick search

Dropout Vs Batch Normalization ⭐ 8

Dropout vs. batch normalization: effect on accuracy, training and inference times - code for the paper

MxNet to TensorFlow converter

Crnn End To End ⭐ 6

A CRNN python implement based on TensorFlow

Image_classification_api ⭐ 6

Image classification API using Deep Learning

Tensorflow Cvae ⭐ 6

Implementation of the Conditional Variational Auto-Encoder (CVAE) in Tensorflow

Batch Renorm ⭐ 6

A Tensorflow re-implementation of batch renormalization, first introduced by Sergey Ioffe.

Multilabel Image Classification Using Contractive Autoencoder ⭐ 5

Implementing contractive auto encoder for encoding cloud images and using that encoding for multi label image classification

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