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rishikksh20
PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers
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Explore the skillrishikksh20
PyTorch Implementation of CvT: Introducing Convolutions to Vision Transformers
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Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
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This repo is the homebase of a community driven course on Computer Vision with Neural Networks. Feel free to join us on the Hugging Face discord: hf.co/join/discord
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🚪✊Knock Knock: Get notified when your training ends with only two additional lines of code
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🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.
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[ICCV 2021 Oral] PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers
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[NeurIPS 2021] [T-PAMI] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
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Minimal sharded dataset loaders, decoders, and utils for multi-modal document, image, and text datasets.
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This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
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Robotics Data Toolkit | Convert between robotics dataset formats (RLDS, LeRobot v2/v3, Zarr, HDF5, Rosbag). Inspect, visualize, and analyze datasets. Works with HuggingF…
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[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
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Tensorflow implementation of the Vision Transformer (An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale)
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Hyperbolic Vision Transformers: Combining Improvements in Metric Learning | Official repository
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Visualizing query-key interactions in language + vision transformers (VIS 2023)