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vision_transformer_tf reviews and mentions
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Implemented Vision Transformers from scratch using TensorFlow 2. x 🚀, Finetuning and Converting to TF-Lite ✅
Hi r/learnmachinelearning, I am done implementing the paper AN IMAGE IS WORTH 16X16 WORDS: TRANSFORMERS FOR IMAGE RECOGNITION AT SCALE, popularly known as the Vision Transformer paper. Using my implementation any vision transformer model can be finetuned pretty easily with any custom dataset, Converting weights to TensorFlow Lite is also supported. My codebase is also very straightforward to understand and debug. One can learn how the vision transformer works internally by debugging the whole pipeline. Link to the GitHub Project: https://github.com/TheTensorDude/vision_transformer_tf
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[P] Finetune any Vision Transformer architecture on your custom data 🚀, Convert to TensorFlow Lite ✅
The GitHub link to the project can be found here.
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[P] Implemented Vision Transformers 🚀 from scratch using TensorFlow 2.x
My implementation: GitHub Link
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Implemented Vision Transformers 🚀 from scratch using TensorFlow 2.x
My implementation: https://github.com/TheTensorDude/vision_transformer_tf
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hrithickcodes/vision_transformer_tf is an open source project licensed under MIT License which is an OSI approved license.
The primary programming language of vision_transformer_tf is Jupyter Notebook.
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