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huggingface
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…
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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and traini…
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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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[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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Explore the skill🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (ad…
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Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
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⚡️SwanLab - an open-source, modern-design AI training tracking and visualization tool. Supports Cloud / Self-hosted use. Integrated with PyTorch / Transformers / verl /…
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🤗🖼️ HuggingPics: Fine-tune Vision Transformers for anything using images found on the web.
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Implementation of "BitNet: Scaling 1-bit Transformers for Large Language Models" in pytorch
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[CVPR 2022] FaceFormer: Speech-Driven 3D Facial Animation with Transformers
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This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
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Your new Telegram buddy powered by transformers
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Cybertron: the home planet of the Transformers in Go
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Projects based on SigLIP (Zhai et. al, 2023) and Hugging Face transformers integration 🤗
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[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers