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.
Ivan Bogatyy
87a8abd4d3
Sync SyntaxNet with TensorFlow r1.0 (#1062)
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| autoencoder | 8 vuotta sitten | |
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| differential_privacy | 8 vuotta sitten | |
| im2txt | 8 vuotta sitten | |
| inception | 8 vuotta sitten | |
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| real_nvp | 8 vuotta sitten | |
| resnet | 8 vuotta sitten | |
| slim | 8 vuotta sitten | |
| street | 8 vuotta sitten | |
| swivel | 8 vuotta sitten | |
| syntaxnet | 8 vuotta sitten | |
| textsum | 8 vuotta sitten | |
| transformer | 8 vuotta sitten | |
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| video_prediction | 8 vuotta sitten | |
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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
- differential_privacy -- privacy-preserving student models from multiple teachers
- im2txt -- image-to-text neural network for image captioning.
- inception -- deep convolutional networks for computer vision
- namignizer -- recognize and generate names
- neural_gpu -- highly parallel neural computer
- neural_programmer -- neural network augmented with logic and mathematic operations.
- resnet -- deep and wide residual networks
- slim -- image classification models in TF-Slim
- swivel -- 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