Ecosyste.ms: Packages
An open API service providing package, version and dependency metadata of many open source software ecosystems and registries.
pypi.org "segment-anything" keyword
efficientvit-gml 0.1.8
open-set object detector7 versions - Latest release: 10 days ago - 1.51 thousand downloads last month - 1,423 stars on GitHub - 2 maintainers
openadapt 0.21.0
GUI Process Automation with Transformers26 versions - Latest release: about 9 hours ago - 700 downloads last month - 386 stars on GitHub - 2 maintainers
annolid 1.2.0
An annotation and instance segmentation-based multiple animal tracking and behavior analysis pack...5 versions - Latest release: about 2 months ago - 1 dependent repositories - 54 downloads last month - 34 stars on GitHub - 1 maintainer
Top 3.4% on pypi.org
27 versions - Latest release: 1 day ago - 3 dependent packages - 5 dependent repositories - 6.95 thousand downloads last month - 2,667 stars on GitHub - 2 maintainers
segment-geospatial 0.10.6 💰
Meta AI' Segment Anything Model (SAM) for Geospatial Data27 versions - Latest release: 1 day ago - 3 dependent packages - 5 dependent repositories - 6.95 thousand downloads last month - 2,667 stars on GitHub - 2 maintainers
samexporter 0.3.0 💰
Exporting Segment Anything models different formats3 versions - Latest release: 2 days ago - 76 downloads last month - 170 stars on GitHub - 2 maintainers
autodistill-sam-hq 0.1.1
Segment Anything High Quality (SAM HQ) model for use with Autodistill2 versions - Latest release: 5 months ago - 36 downloads last month - 6 stars on GitHub - 4 maintainers
isat-sam 0.0.4
Interactive semi-automatic annotation tool for image segmentation based on SAM(segment anything m...4 versions - Latest release: about 2 months ago - 117 downloads last month - 984 stars on GitHub - 2 maintainers
pbaa 1.0.4
Prompt based automatic annotation5 versions - Latest release: 11 months ago - 40 downloads last month - 2 stars on GitHub - 2 maintainers
Top 7.6% on pypi.org
36 versions - Latest release: 11 months ago - 2 dependent repositories - 339 downloads last month - 912 stars on GitHub - 2 maintainers
metaseg 0.7.8 💰
MetaSeg: Packaged version of the Segment Anything repository36 versions - Latest release: 11 months ago - 2 dependent repositories - 339 downloads last month - 912 stars on GitHub - 2 maintainers
meta-segment 0.1.0 💰
MetaSeg: Packaged version of the Segment Anything repository1 version - Latest release: about 1 year ago - 7 downloads last month - 910 stars on GitHub - 2 maintainers
sssegmentation 1.5.3 💰
SSSegmentation: An Open Source Supervised Semantic Segmentation Toolbox Based on PyTorch11 versions - Latest release: 5 months ago - 1 dependent repositories - 200 downloads last month - 731 stars on GitHub - 1 maintainer
samgis 1.4.1 💰
A backend for machine learning instance segmentation on geospatial data even without dedicated gr...2 versions - Latest release: 19 days ago - 95 downloads last month - 2 stars on GitHub - 1 maintainer
Top 8.2% on pypi.org
37 versions - Latest release: 10 months ago - 1 dependent repositories - 5.17 thousand downloads last month - 1,861 stars on GitHub - 2 maintainers
anylabeling 0.3.3 💰
Effortless data labeling with AI support37 versions - Latest release: 10 months ago - 1 dependent repositories - 5.17 thousand downloads last month - 1,861 stars on GitHub - 2 maintainers
anylabeling-gpu 0.3.3 💰
Effortless data labeling with AI support9 versions - Latest release: 10 months ago - 599 downloads last month - 1,861 stars on GitHub - 2 maintainers
samclipdiffusion 0.0.3b0
A package for clip-guided diffusion3 versions - Latest release: about 1 year ago - 17 downloads last month - 13 stars on GitHub - 2 maintainers
multimodal-maestro 0.1.0
Visual Prompting for Large Multimodal Models (LMMs)5 versions - Latest release: 5 months ago - 32 downloads last month - 947 stars on GitHub - 2 maintainers
maestro 0.2.0
Visual Prompting for Large Multimodal Models (LMMs)7 versions - Latest release: almost 12 years ago - 3 dependent repositories - 186 downloads last month - 947 stars on GitHub - 6 maintainers
setofmark 0.1.0rc7
Visual Prompting for Large Multimodal Models (LMMs)7 versions - Latest release: 5 months ago - 51 downloads last month - 943 stars on GitHub - 2 maintainers
Top 4.6% on pypi.org
98 versions - Latest release: about 1 month ago - 2 dependent packages - 3 dependent repositories - 5.18 thousand downloads last month - 556 stars on GitHub - 2 maintainers
keras-cv-attention-models 1.4.1
Tensorflow keras computer vision attention models. Alias kecam. https://github.com/leondgarse/ker...98 versions - Latest release: about 1 month ago - 2 dependent packages - 3 dependent repositories - 5.18 thousand downloads last month - 556 stars on GitHub - 2 maintainers
kecam 1.4.1
Tensorflow keras computer vision attention models. Alias kecam. https://github.com/leondgarse/ker...17 versions - Latest release: about 1 month ago - 304 downloads last month - 556 stars on GitHub - 2 maintainers
samgis_core 1.2.1
SamGIS CORE12 versions - Latest release: 19 days ago - 257 downloads last month - 2 stars on GitHub - 2 maintainers
autodistill-sam-clip 0.1.3
SAM-CLIP model for use with Autodistill4 versions - Latest release: 10 months ago - 118 downloads last month - 10 stars on GitHub - 6 maintainers
Top 4.9% on pypi.org
3 versions - Latest release: 9 months ago - 1 dependent package - 2 dependent repositories - 11.6 thousand downloads last month - 3,034 stars on GitHub - 2 maintainers
segment-anything-hq 0.3
Official Python package for Segment Anything in High Quality (https://arxiv.org/abs/2306.01567)3 versions - Latest release: 9 months ago - 1 dependent package - 2 dependent repositories - 11.6 thousand downloads last month - 3,034 stars on GitHub - 2 maintainers
amadeusgpt 0.1.0
AmadeusGPT🎻: We turn natural language descriptions of behaviors into machine-executable code3 versions - Latest release: 5 months ago - 43 downloads last month - 174 stars on GitHub - 2 maintainers
autodistill-flamingo 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 19 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-tag2text 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 25 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-blip2 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 19 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-chat-gpt 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 13 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-palm 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 11 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-yolox 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 18 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-yolov4 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 11 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-bioclip 0.1.0
BioCLIP model for use with Autodistill1 version - Latest release: 3 months ago - 23 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-azure 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 22 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-deta 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 12 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-blip 0.1.3
BLIP module for use with Autodistill5 versions - Latest release: 5 months ago - 1 dependent package - 81 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-glip 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 16 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-oneformer 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 14 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-vertex 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 11 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-swin 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 8 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-yolor 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 25 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-dino 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 18 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-palm2 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 15 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-yolov9 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 43 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-gpt5 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 15 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-otter 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 12 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-palm-e 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 12 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-efficientsam 0.1.0
EfficientSAM model for use with Autodistill1 version - Latest release: 3 months ago - 45 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-chameleon 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 13 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-remote-clip 0.1.2
Remote CLIP model for use with Autodistill3 versions - Latest release: 5 months ago - 25 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-efficientnet 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 12 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-llama 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 15 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-swinv2 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 11 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-open-flamingo 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 4 downloads last month - 1,452 stars on GitHub - 4 maintainers
autodistill-albef 0.1.0
ALBEF module for use with Autodistill1 version - Latest release: 11 months ago - 20 downloads last month - 1,457 stars on GitHub - 4 maintainers
autodistill-llava 0.1.0
LLaVA for use with Autodistill1 version - Latest release: 7 months ago - 102 downloads last month - 1,457 stars on GitHub - 4 maintainers
autodistill-flan 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 16 downloads last month - 1,457 stars on GitHub - 4 maintainers
autodistll-grounded-sam 0.0.5
Automatically distill large foundational models into smaller, in-domain models for deployment1 version - Latest release: 12 months ago - 10 downloads last month - 1,519 stars on GitHub - 2 maintainers
autodistill-coca 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 22 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-yolov6 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 13 downloads last month - 1,519 stars on GitHub - 4 maintainers
autodistill-gpt4 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).1 version - Latest release: 11 months ago - 27 downloads last month - 1,457 stars on GitHub - 4 maintainers
Top 4.3% on pypi.org
29 versions - Latest release: 3 months ago - 32 dependent packages - 2 dependent repositories - 56.9 thousand downloads last month - 1,457 stars on GitHub - 6 maintainers
autodistill 0.1.26
Distill large foundational models into smaller, domain-specific models for deployment29 versions - Latest release: 3 months ago - 32 dependent packages - 2 dependent repositories - 56.9 thousand downloads last month - 1,457 stars on GitHub - 6 maintainers
segment-anything-fast 0.1.2
Fast Segment Anything2 versions - Latest release: 9 months ago - 3 dependent repositories - 933 downloads last month - 42 stars on GitHub - 2 maintainers
ezsam 0.3.0
Extract foreground from images or video via text prompt4 versions - Latest release: about 2 months ago - 19 downloads last month - 1 stars on GitHub - 2 maintainers
refiners 0.4.0
The simplest way to train and run adapters on top of foundation models6 versions - Latest release: 2 months ago - 283 downloads last month - 230 stars on GitHub - 6 maintainers
autodistill-segment-anything 0.1.1
Segment Anything model for use with Autodistill2 versions - Latest release: 5 months ago - 49 downloads last month - 1 stars on GitHub - 1 maintainer
autodistill-grounded-edgesam 0.1.0
Model for use with Autodistill1 version - Latest release: 5 months ago - 34 downloads last month - 1 stars on GitHub - 3 maintainers
Related Keywords
object-detection
43
computer-vision
42
yolov8
41
instance-segmentation
41
yolov5
41
labeling-tool
40
deep-learning
39
auto-labeling
39
machine-learning
39
pytorch
38
grounding-dino
37
foundation-models
37
image-annotation
37
multimodal
37
model-distillation
37
image-classification
37
segment-anything-model
6
segmentation
6
autodistill
4
onnx
4
clip
4
stable-diffusion
4
gpt-4
4
mobilesam
3
sam
3
cross-modal
3
gpt-4-vision
3
llava
3
lmm
3
multimodality
3
prompt-engineering
3
vision-language-model
3
visual-prompting
3
labeling
3
imagenet
3
object-segmentation
3
yolov7
2
yolov6
2
semantic-segmentation
2
Image Annotation
2
tf
2
recognition
2
model
2
detection
2
ddpm
2
coco
2
kecam
2
models
2
pretrained
2
attention
2
cv
2
keras
2
tensorflow
2
tf2
2
visualizing
2
image-editing
2
Deep Learning
2
Machine Learning
2
groundingdino
2
huggingface
2
huggingface-transformers
2
geospatial
2
samhq
2
remove
1
prompt
1
subtract
1
ai
1
grounded-segment-anything
1
segment
1
video-editing
1
background-generation
1
background-removal
1
controlnet
1
diffusion-models
1
dinov2
1
image-generation
1
ip-adapter
1
lcm
1
lcm-lora
1
lora
1
sdxl
1
shadow-generation
1
t2i-adapter
1
text-to-image
1
textual-inversion
1
GroundingDINO
1
Segment-Anything
1
SAM
1
SAM-HQ
1
Grounded-Segment-Anything
1
llms
1
deeplabcut
1
chatgpt
1
cebra
1
subject
1
amadeusgpt
1
zero-shot-segmentation
1
high-quality
1
object
1
sam-clip
1