# PyTorch Implementation
Sd Class Butterflies 32
MIT
This is an unconditional diffusion model for generating cute butterfly images, built based on the content of Unit 1 of the Hugging Face Diffusion Model Course.
Image Generation
S
arrowgu
68
0
Sd Class Butterflies 32
MIT
This is an unconditional image generation model based on diffusion models, specifically designed to generate adorable butterfly images.
Image Generation
S
bgavin
18
0
Finetuning Diffusion
MIT
This is a fine-tuning example model based on the second unit of the diffusion model course, designed for unconditional image generation tasks.
Image Generation
F
Mayank022
15
0
Sd Class Butterflies 32
MIT
This is an unconditional diffusion model for generating adorable butterfly images, developed based on the first unit of Hugging Face's diffusion model course.
Image Generation
S
hellp002
20
0
Upernet Swin Large
MIT
UPerNet semantic segmentation model based on Swin Transformer architecture, suitable for high-precision image segmentation tasks
Image Segmentation
U
smp-hub
110
0
Upernet Swin Small
MIT
UPerNet semantic segmentation model based on Swin Transformer small architecture, suitable for scene parsing tasks like ADE20K
Image Segmentation
U
smp-hub
100
0
Upernet Swin Tiny
MIT
UPerNet is a semantic segmentation model based on the ConvNeXt-Tiny architecture, suitable for image segmentation tasks.
Image Segmentation
Safetensors
U
smp-hub
191
0
Upernet Convnext Large
MIT
UPerNet semantic segmentation model based on ConvNeXt-Large encoder, suitable for scene parsing tasks like ADE20K
Image Segmentation
Safetensors
U
smp-hub
54
0
Upernet Convnext Small
MIT
UPerNet is a semantic segmentation model based on the ConvNeXt-Small architecture, suitable for image segmentation tasks.
Image Segmentation
Safetensors
U
smp-hub
70
0
Upernet Convnext Tiny
MIT
UPerNet image segmentation model based on ConvNeXt-Tiny encoder, suitable for semantic segmentation tasks
Image Segmentation
U
smp-hub
149
0
Aggregate Segmentation
MIT
PyTorch-based DeepLabV3Plus image segmentation model supporting efficient semantic segmentation tasks
Image Segmentation
A
Matiullah2401592
78
1
Oxford Pet Segmentation
MIT
A PyTorch-based FPN architecture image segmentation model supporting multiple encoders, suitable for semantic segmentation tasks.
Image Segmentation
O
marinaking1
60
0
Dpt Tu Test Vit
MIT
A PyTorch-based image segmentation model library supporting various encoder-decoder architectures for semantic segmentation tasks
Image Segmentation
Safetensors
D
smp-test-models
228
0
Dpt Large Ade20k
MIT
A Transformer-based semantic segmentation model optimized for the ADE20K dataset
Image Segmentation
Safetensors
D
smp-hub
279
0
Sd Class Butterflies 32 Copy 4 PK
MIT
This is an unconditional diffusion model for generating adorable butterfly images, implemented using PyTorch and the Diffusers library.
Image Generation
S
pkulkarni74
16
0
Diffusion Model To Generate Butterfly
MIT
This is an unconditional image generation model based on diffusion models, specifically designed to generate adorable butterfly images.
Image Generation
D
Mayank022
30
0
Sd Class Butterflies 32 Copy 5
MIT
This is an unconditional image generation model based on diffusion models, specifically designed to generate adorable butterfly images.
Image Generation
S
VizuaraAI
19
0
Sd Class Butterflies 32 Copy 4
MIT
This is an unconditional diffusion model for generating cute butterfly images, implemented with PyTorch and Diffusers library.
Image Generation
S
samratkar
14
0
Sd Class Butterflies 32
MIT
This is an unconditional image generation model based on diffusion models, specifically designed to generate adorable butterfly images.
Image Generation
S
tyrhjdtsdaz
19
0
Spatial Attention Unet Cloud Segmentation
MIT
A satellite image segmentation model based on the UNet architecture with integrated spatial attention mechanism, specifically designed for cloud detection tasks in multispectral data.
Image Segmentation English
S
MagicaNeko
75
0
Sd Class Butterflies 32 Copy 2
MIT
This is an unconditional diffusion model for generating adorable butterfly images, implemented based on PyTorch and Diffusers library.
Image Generation
S
VizuaraAI
16
0
Sd Class Butterflies 32
MIT
This is an unconditional image generation model based on diffusion models, specifically designed to generate adorable butterfly images.
Image Generation
S
JaehyunL
19
0
Sd Class Butterflies 32
MIT
This is an unconditional image generation model based on diffusion models, specifically designed to generate adorable butterfly images.
Image Generation
S
VizuaraAI
19
0
Ddpm Celebahq Finetuned Butterflies 2epochs
MIT
This is an unconditional image generation model based on the Diffusion Model, specifically fine-tuned for butterfly images.
Image Generation
D
SachiFaker
19
0
DPT
MIT
A PyTorch-based image segmentation model using Transformer architecture for dense prediction tasks
Image Segmentation
D
vedantdalimkar
92
0
Fast3r ViT Large 512
Other
fast3r is a model focused on image-to-3D conversion, developed by Facebook Research.
3D Vision
F
jedyang97
16.34k
20
Sd Class Butterflies 32
MIT
This is an unconditional image generation model based on PyTorch and the Diffusers library, specifically designed to generate adorable butterfly images.
Image Generation
S
Kirie
19
0
Upernet Tu Resnet18
MIT
UPerNet is an image segmentation model implemented in PyTorch, supporting semantic segmentation tasks.
Image Segmentation
Safetensors
U
smp-test-models
267
0
Pan Tu Resnet18
MIT
PAN is an image segmentation model implemented in PyTorch, utilizing pyramid attention mechanisms to enhance feature extraction capabilities
Image Segmentation
P
smp-test-models
211
0
Deeplabv3 Tu Resnet18
MIT
DeepLabV3 is a semantic segmentation model implemented in PyTorch, suitable for image segmentation tasks.
Image Segmentation
D
smp-test-models
210
0
Pspnet Tu Resnet18
MIT
PSPNet is a deep learning model for semantic segmentation that uses pyramid pooling modules to capture multi-scale contextual information
Image Segmentation
P
smp-test-models
213
0
Manet Tu Resnet18
MIT
A PyTorch-based semantic segmentation model utilizing multi-scale attention mechanisms, suitable for image segmentation tasks
Image Segmentation
M
smp-test-models
216
0
Unetplusplus Tu Resnet18
MIT
A semantic segmentation model based on PyTorch, utilizing an improved UNet++ architecture, suitable for image segmentation tasks.
Image Segmentation
U
smp-test-models
215
0
Unet Tu Resnet18
MIT
Unet image segmentation model implemented in PyTorch, supporting multiple encoder architectures
Image Segmentation
U
smp-test-models
219
0
Segformer B3 1024x1024 City 160k
Other
A semantic segmentation model based on the Segformer architecture, optimized for the Cityscapes dataset
Image Segmentation
S
smp-hub
14
0
Segformer B0 1024x1024 City 160k
Other
A lightweight semantic segmentation model based on Segformer architecture, pre-trained on the Cityscapes dataset
Image Segmentation
Safetensors
S
smp-hub
269
1
Segformer B2 1024x1024 City 160k
Other
A semantic segmentation model based on the Segformer architecture, specifically optimized for the Cityscapes dataset
Image Segmentation
S
smp-hub
651
0
Segformer B5 1024x1024 City 160k
Other
Semantic segmentation model based on Segformer architecture, optimized for Cityscapes dataset
Image Segmentation
Safetensors
S
smp-hub
445
0
Segformer B0 512x512 Ade 160k
Other
A lightweight semantic segmentation model based on the Segformer architecture, pretrained on the ADE20K dataset
Image Segmentation
Safetensors
S
smp-hub
290
0
Segformer B1 512x512 Ade 160k
Other
PyTorch-based Segformer model for semantic segmentation tasks, pre-trained on the ADE20K dataset
Image Segmentation
S
smp-hub
20
0
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