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  - robotics
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+ <img style="max-width: 75vw;" src=https://cdn-uploads.huggingface.co/production/uploads/630e567f8df86f1e5bf0d837/CISEAH0AbTJVDJuZWkqFK.jpeg></img>
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+ # Dobb·E
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+ [Project webpage](https://dobb-e.com) · [Documentation (gitbooks)](https://docs.dobb-e.com) · [Paper](https://arxiv.org/abs/2311.16098)
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+ **Authors**: [Mahi Shafiullah*](https://mahis.life), [Anant Rai*](https://raianant.github.io/), [Haritheja Etukuru](https://haritheja.com/), [Yiqian Liu](https://www.linkedin.com/in/eva-liu-ba90a5209/), [Ishan Misra](https://imisra.github.io/), [Soumith Chintala](https://soumith.ch), [Lerrel Pinto](https://lerrelpinto.com)
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+ Open-source repository of the Home Pretrained Representation (HPR) of [Dobb·E](https://dobb-e.com) and the associated paper, [On Bringing Robots Home](https://arxiv.org/abs/2311.16098)
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+ <video autoplay muted style="max-width: 75vw;" src="https://cdn-uploads.huggingface.co/production/uploads/630e567f8df86f1e5bf0d837/tmL48wY0F8eL2Mluizrw3.mp4"></video>
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+ ## What's on this repo
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+ You can find our [Home Pretrained Models (HPR)](https://dobb-e.com/#models), which is a ResNet34 model trained on our dataset, [Homes of New York (HoNY)](https://dobb-e.com/#dataset), in this repo. You can download the weights if you want, or you can get started by using [Timm](https://huggingface.co/docs/timm/index).
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+ ```python
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+ import timm
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+ model = timm.create_model("hf-hub:notmahi/dobb-e", pretrained=True)
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+ ```
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+ You can read more about it on our [paper](https://arxiv.org/abs/2311.16098) or our [website](https://dobb-e.com).
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+ Let's bring some robots home!