tfrecords

IBM/tensorflow-hangul-recognition

Handwritten Korean Character Recognition with TensorFlow and Android

google/tensorflow-recorder

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

yeephycho/tensorflow_input_image_by_tfrecord

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

formath/tensorflow-predictor-cpp

tensorflow prediction using c++ api

visipedia/tfrecords

Functions for creating tfrecords for TensorFlow models.

juliagusak/dataloaders

Pytorch and TensorFlow data loaders for several audio datasets

MichiganCOG/M-PACT

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

podgorskiy/DareBlopy

Data Reading Blocks for Python

secsilm/understaing-datasets-estimators-tfrecords

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

indraforyou/keras_tfrecord

Extending Keras to support tfrecord dataset

spotify/tfreader

TensorFlow TFRecord reader CLI tool

zzw922cn/TensorFlow-Input-Pipeline

TensorFlow Input Pipeline Examples based on multi-thread and FIFOQueue

yltw27/KeywordSpotting

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

yeephycho/widerface-to-tfrecord

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

5taku/tensorflow_object_detection_helper_tool

tensorflow object detection api helper tool ( custom object detection )

fitushar/WeaklySupervised-3D-Classification-of-Chest-CT-using-Aggregated-MultiResolution-Segmentation-Feature

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)

ThoroughImages/EasySparse

Sparse learning in TensorFlow using data acquired from Spark.

quqixun/CellDetection

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

ppplinday/TFrecord-Lenet-Vgg19-tensorflow

Implement lenet and vgg19 by tensorflow with dataset mnist using tfrecord

v1zh3d/WIDER-Face-Detection-using-MTCNN

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.

penguinmenac3/starttf

A tensorflow batteries included kit to write tensorflow networks from scratch or use existing ones.

EmnamoR/Face-recognition-Tensorflow-object-detection-api

Face recognition using Tensorflow

aalok-kumar-yadav/Design_Project

Object detection and recognition for blind person using Raspberry Pi

andreped/DMDetect

Code relevant for training, evaluating, assessing, and deploying CNNs for image classification and segmentation of Digital Mammography images

risteon/hdf5-to-tfrecord

:floppy_disk: Convert .hdf5 files to TFRecords

terrykong/tfrecord-browser

Read your tfrecord files from the command line

dfalbel/tfrecords

Create TFRecords files from R

soumik12345/Dataset-Scripts

GCS specific notebooks and scripts to download VOC 2007, COCO 2017 and DIV2K Datasets and create TFRecords.

alanspike/LMDB_to_TFrecords

change LMDB to tfrecords

gebob19/TFRecords_4_videos

:floppy_disk: :fire: The fastest and easiest to use TFRecords formatter

JuliaReinforcementLearning/TFRecord.jl

A pure Julia implementation to read/write TFRecord

luca-bajardi/Conditional_Text_Generation

The main problem of conditional text generation is that it is mainly based on the content of an input set of examples: this leads to little diversification of the generated text. To overcome this shortcoming, we have fine tuned CTRL using three different datasets. The first model has been used as a baseline for comparison, while the other two have been used to obtain more formal and informal text. The BART model has been employed for text classification to gauge formality.

moono/tf-cnn-mnist

Py-Contributors/dataset-convertor

Dataset-convertor tool in python for object detection dataset

YanbingJiang/inception-V3-Retrain-Fast-With-TFrecord

Follow Official Tensorflow's retrain.py, which is an example script that shows how one can adapt a pretrained network for other classification problems. This repository improved with quick data read and process to make the training more efficient.