TensorFlow template application for deep learning

Handwritten Korean Character Recognition with TensorFlow and Android

TFRecorder makes it easy to create TensorFlow records (TFRecords) from Pandas DataFrames and CSVs files containing images or structured data.

Feed your own image data to a pre-trained network by tensorflow

tensorflow prediction using c++ api

Functions for creating tfrecords for TensorFlow models.

Pytorch and TensorFlow data loaders for several audio datasets

A one stop shop for all of your activity recognition needs.

Data Reading Blocks for Python

Try to use tf.estimator and tf.data together to train a cnn model.

Extending Keras to support tfrecord dataset

TensorFlow TFRecord reader CLI tool

TensorFlow Input Pipeline Examples based on multi-thread and FIFOQueue

Train a 4-layer Convolutional Neural Network to detect trigger word

parse WIDER FACE dataset to tensorflow tfrecord format for object detection api

tensorflow object detection api helper tool ( custom object detection )

This Repo contains the updated implementation of our paper "Weakly supervised 3D classification of chest CT using aggregated multi-resolution deep segmentation features", Proc. SPIE 11314, Medical Imaging 2020: Computer-Aided Diagnosis, 1131408 (16 March 2020)

Sparse learning in TensorFlow using data acquired from Spark.

A course project that detect cells in image by a simple full convolution neural network. The project is driven by TensorFlow.

This is my first Internship Project on Deep Learning. This is a challenge of WIDER Face Benchmark whose aim is to detect faces in the images in any condition of various poses, illuminations and occlusions. And we managed to get the accuracy of 91% in detecting every type of images.