Aritra Roy Gosthipaty PRO
ariG23498
AI & ML interests
Deep Representation Learning
Recent Activity
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RekaAI/reka-edge-2603 Organizations
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google/owlv2-large-patch14
Zero-Shot Object Detection • 0.4B • Updated • 1.17k • 9 -
google/owlv2-base-patch16
Zero-Shot Object Detection • 0.2B • Updated • 332k • 29 -
google/owlv2-base-patch16-ensemble
Zero-Shot Object Detection • 0.2B • Updated • 860k • 116 -
google/owlv2-base-patch16-finetuned
Zero-Shot Object Detection • Updated • 8.16k • 3
Deploy models to Spaces and Consume them through an API
All the CLIP models in one place
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openai/clip-vit-base-patch16
Zero-Shot Image Classification • Updated • 2.43M • 153 -
openai/clip-vit-base-patch32
Zero-Shot Image Classification • Updated • 19.3M • 880 -
openai/clip-vit-large-patch14
Zero-Shot Image Classification • 0.4B • Updated • 9.08M • 1.97k -
openai/clip-vit-large-patch14-336
Zero-Shot Image Classification • Updated • 6.45M • 288
Random mistral models that were reduced in size for the TensorFlow port. The link to the porting PR: https://github.com/huggingface/transformers/pull/
This collection holds the list of all the first MoE releases from research labs.
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facebook/mask2former-swin-tiny-ade-semantic
Image Segmentation • Updated • 5.69k • • 2 -
facebook/mask2former-swin-tiny-cityscapes-semantic
Image Segmentation • 47.4M • Updated • 2.09k • • 3 -
facebook/mask2former-swin-tiny-coco-instance
Image Segmentation • 47.5M • Updated • 91.5k • • 13 -
facebook/mask2former-swin-tiny-cityscapes-instance
Image Segmentation • 47.4M • Updated • 64
This is a collection of models to showcase various goodies with the `TimmWrapper`.
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Food Classification
🦀1Food classifier
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Timm + Transformers
😻7Any timm model with the transformers integration
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ariG23498/vit_base_patch16_224.orig_in21k_ft_in1k.ft_food101
Image Classification • Updated • 14 -
ariG23498/vit_base_patch16_224.augreg2_in21k_ft_in1k.ft_food101
Image Classification • Updated • 83
Quantized Diffusion Models useful for inference on a free tier colab notebook.
This collection will hold tiny models that will be used in the test suite of KerasNLP.
All the models for SAM
Place to store everything for our experiments
This collection holds the list of all the first MoE releases from research labs.
-
google/owlv2-large-patch14
Zero-Shot Object Detection • 0.4B • Updated • 1.17k • 9 -
google/owlv2-base-patch16
Zero-Shot Object Detection • 0.2B • Updated • 332k • 29 -
google/owlv2-base-patch16-ensemble
Zero-Shot Object Detection • 0.2B • Updated • 860k • 116 -
google/owlv2-base-patch16-finetuned
Zero-Shot Object Detection • Updated • 8.16k • 3
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facebook/mask2former-swin-tiny-ade-semantic
Image Segmentation • Updated • 5.69k • • 2 -
facebook/mask2former-swin-tiny-cityscapes-semantic
Image Segmentation • 47.4M • Updated • 2.09k • • 3 -
facebook/mask2former-swin-tiny-coco-instance
Image Segmentation • 47.5M • Updated • 91.5k • • 13 -
facebook/mask2former-swin-tiny-cityscapes-instance
Image Segmentation • 47.4M • Updated • 64
Deploy models to Spaces and Consume them through an API
This is a collection of models to showcase various goodies with the `TimmWrapper`.
-
Food Classification
🦀1Food classifier
-
Timm + Transformers
😻7Any timm model with the transformers integration
-
ariG23498/vit_base_patch16_224.orig_in21k_ft_in1k.ft_food101
Image Classification • Updated • 14 -
ariG23498/vit_base_patch16_224.augreg2_in21k_ft_in1k.ft_food101
Image Classification • Updated • 83
Quantized Diffusion Models useful for inference on a free tier colab notebook.
This collection will hold tiny models that will be used in the test suite of KerasNLP.
All the CLIP models in one place
-
openai/clip-vit-base-patch16
Zero-Shot Image Classification • Updated • 2.43M • 153 -
openai/clip-vit-base-patch32
Zero-Shot Image Classification • Updated • 19.3M • 880 -
openai/clip-vit-large-patch14
Zero-Shot Image Classification • 0.4B • Updated • 9.08M • 1.97k -
openai/clip-vit-large-patch14-336
Zero-Shot Image Classification • Updated • 6.45M • 288
All the models for SAM
Random mistral models that were reduced in size for the TensorFlow port. The link to the porting PR: https://github.com/huggingface/transformers/pull/
Place to store everything for our experiments