This repository contains machine learning models implemented in TensorFlow. The models are maintained by their respective authors. To propose a model for inclusion, please submit a pull request.
Nathan Silberman
c6c78fb4fe
Fixing link in README, updates to notebook variable names, small notebook bug fixes
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| autoencoder | 10 gadi atpakaļ | |
| inception | 10 gadi atpakaļ | |
| namignizer | 10 gadi atpakaļ | |
| neural_gpu | 10 gadi atpakaļ | |
| privacy | 10 gadi atpakaļ | |
| resnet | 10 gadi atpakaļ | |
| slim | 10 gadi atpakaļ | |
| swivel | 10 gadi atpakaļ | |
| syntaxnet | 10 gadi atpakaļ | |
| textsum | 10 gadi atpakaļ | |
| transformer | 10 gadi atpakaļ | |
| .gitignore | 10 gadi atpakaļ | |
| .gitmodules | 10 gadi atpakaļ | |
| AUTHORS | 10 gadi atpakaļ | |
| CONTRIBUTING.md | 10 gadi atpakaļ | |
| LICENSE | 10 gadi atpakaļ | |
| README.md | 10 gadi atpakaļ |
README.md
TensorFlow Models
This repository contains machine learning models implemented in TensorFlow. The models are maintained by their respective authors.
To propose a model for inclusion please submit a pull request.
Models
- autoencoder -- various autoencoders
- inception -- deep convolutional networks for computer vision
- namignizer -- recognize and generate names
- neural_gpu -- highly parallel neural computer
- privacy -- privacy-preserving student models from multiple teachers
- resnet -- deep and wide residual networks
- slim -- image classification models in TF-Slim
- swivel -- TensorFlow implementation of the Swivel algorithm for generating word embeddings
- syntaxnet -- neural models of natural language syntax
- textsum -- sequence-to-sequence with attention model for text summarization.
- transformer -- spatial transformer network, which allows the spatial manipulation of data within the network