- tensorflow-image-models VS ImageNetV2
- tensorflow-image-models VS T2T-ViT
- tensorflow-image-models VS nested-transformer
- tensorflow-image-models VS GCVit
- tensorflow-image-models VS vision_transformer_tf
- tensorflow-image-models VS pytorch-image-models
- tensorflow-image-models VS super-gradients
- tensorflow-image-models VS Transformers-Tutorials
- tensorflow-image-models VS Efficient-AI-Backbones
- tensorflow-image-models VS conformal_classification
Tensorflow-image-models Alternatives
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pytorch-image-models
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vision_transformer_tf
This repository contains the TensorFlow implementation of the paper "AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE" known as vision transformers.
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super-gradients
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Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
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Efficient-AI-Backbones
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conformal_classification
Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
tensorflow-image-models discussion
tensorflow-image-models reviews and mentions
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Pretrained vision transformers in Tensorflow.
Let me introduce TensorFlow Image Models (tfimm), a TF port of the PyTorch timm library, which in version v0.1.1 provides 37 pretrained vision transformers of the ViT and DeiT varieties.
Stats
martinsbruveris/tensorflow-image-models is an open source project licensed under Apache License 2.0 which is an OSI approved license.
The primary programming language of tensorflow-image-models is Jupyter Notebook.