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tensor_annotations

Annotating tensor shapes using Python types

tensorflow

Computation using data flow graphs for scalable machine learning

tensorflow-1

An Open Source Machine Learning Framework for Everyone

tensorflow-multigpu-vae-gan

A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.

tensorflow-project-template

A best practice for tensorflow project template architecture.

tensorflow-wavenet

A TensorFlow implementation of DeepMind's WaveNet paper

tensorflow-windows-wheel

Tensorflow prebuilt binary for Windows

tensorflow2-generative-models

Implementations of a number of generative models in Tensorflow 2. GAN, VAE, Seq2Seq, VAEGAN, GAIA, Spectrogram Inversion. Everything is self contained in a jupyter notebook for easy export to colab.

tensorflow2.0tutorials

TensorFlow 2.0 Tutorials and Examples, CNN, RNN, GAN tutorials, etc. TF 2.0版入门实例代码，实战教程。

tensorflow_graphs

trRosetta model binaries for using the trRosetta protocol within Rosetta proper

tensorflow_retinanet

RetinaNet with Focal Loss implemented by Tensorflow

tensorflow_stacked_denoising_autoencoder

Implementation of the stacked denoising autoencoder in Tensorflow

tensorflowonspark

TensorFlowOnSpark brings TensorFlow programs onto Apache Spark clusters

tensorfow-rbm

Tensorflow implementation of Restricted Boltzmann Machine

tensorprob

A probabilistic graphical modeling framework based on TensorFlow

tepcam

A tool for predictiting T cell receptor-epitope binding specificity via interpretable deep learning

term-enrichment-analysis

test-validation

Logfile parser and validation

text

Data loaders and abstractions for text and NLP

text--summarization

Automatic summarization is the process of shortening a text document with software, in order to create a summary with the major points of the original document. Technologies that can make a coherent summary take into account variables such as length, writing style and syntax.

text-classification

Tensorflow-implemented text classificators including FastText, TextCNN, TextRNN, TextBiRNN, TextRCNN, HAN, etc.

text-cnn-rnn

TextCNN and TextRNN for text classification

text-cnn-tensorflow

Convolutional Neural Networks for Sentence Classification(TextCNN) implements by TensorFlow

text-to-text-transfer-transformer

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

text_classification

all kinds of text classificaiton models and more with deep learning

textclassification

文本分类

textcnn

使用CNN进行文本分类，工具为TensorFlow

textcnn_public

textrnn

使用TensorFlow工具来实现RNN分类功能

textured-3d-gan

Learning Generative Models of Textured 3D Meshes from Real-World Images, ICCV 2021