Standalone TFRecord reader/writer with PyTorch data loaders
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Updated
Aug 20, 2024 - Python
Standalone TFRecord reader/writer with PyTorch data loaders
End-to-End Speech Recognition Using Tensorflow
Go library that provides easy-to-use interfaces and tools for TensorFlow users, in particular allowing to train existing TF models on .tar and .tgz datasets
Generate TFRecord for images downloaded using EscVM/OIDv4_ToolKit
A python tfrecord builder tool focused on images
通过Tensorflow将Cifar10数据转换成图像,并且对图像数据序列化为tfrecord数据。本项目对tfrecord的读写操作进行了演示,对代码详细注释。代码和文档将持续更新和优化。
TF2.0 implementation of LSTM-CRF tagger.
weed detection
Import and processing of video sensor data for intake gesture recognition. Support for OREBA dataset.
Python package to help train image classification deep neural networks for generic datasets. Especially powerful when using with TPUs. The main advantages of the package is that is leverages the tfrecords format for the data along with transfer learning and hyperparameter optimization for model training.
Simple helper library to convert numpy data to tfrecord and build a tensorflow dataset
example of tensorflow dataset prefetch
Import and processing of inertial sensor data for intake gesture recognition. Support for Clemson Cafeteria, Food Intake Cycle, and OREBA datasets.
Convert coco dataset to tfrecord for the tensorflow detection API.
Tensorflow cycle GAN implementation with TFRecord data format and Tensorboard visualization. Show couple of generated examples from horse2zebra and monet2photo.
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