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AI モデル 85003

• SN3806↗

  thieu86

• fastvit_s12.apple_in1k↗

  timm

• resnet50.fb_swsl_ig1b_ft_in1k↗

  timm

  This model features: * ReLU activations * single layer 7x7 convolution with pooling * 1x1 convolution shortcut downsample Pretrained on Instagram-1B hashtags dataset using semi-weakly supervised learning and fine-tuned on ImageNet-1k by paper authors. - **Model Type:** Image classification / feature backbone - **Model Stats:** - Params (M): 25.6 - GMACs: 4.1 - Activations (M): 11.1 - Image size: 224 x 224 - **Papers:** - Billion-scale semi-supervised learning for image classification: https://arxiv.org/abs/1905.00546 - Deep Residual Learning for Image Recognition: https://arxiv.org/abs/1512.03385 - **Original:** https://github.com/facebookresearch/semi-supervised-ImageNet1K-models

• vit_huge_patch14_224.mae↗

  timm

• gpt2↗

  umineko-uwu

• FLUX.3-Image-Klein-mlx-bf16↗

  vanch007

• MiniMax-H3-GGUF-MiniStack↗

  woodfireind

• SkillForge_Search_7B↗

  YuyaoGe

• Pi3X↗

  yyfz233

  This repository contains the weights for **Pi3X**, an enhanced version of the $\pi^3$ model introduced in the paper $\pi^3$: Permutation-Equivariant Visual Geometry Learning. $\pi^3$ is a feed-forward neural network for visual geometry reconstruction that eliminates the need for a fixed reference view. It employs a fully permutation-equivariant architecture to predict affine-invariant camera poses and scale-invariant local point maps from an unordered set of images, making it robust to input ordering and achieving state-of-the-art performance. - **Project Page:** yyfz.github.io/pi3/ - **GitHub Repository:** github.com/yyfz/Pi3 - **Demo:** Hugging Face Space

• mRNABERT↗

  YYLY66