Ecosyste.ms: Packages
An open API service providing package, version and dependency metadata of many open source software ecosystems and registries.
pypi.org "grounding-dino" keyword
Top 0.7% on pypi.org
53 versions - Latest release: 4 months ago - 29 dependent packages - 645 dependent repositories - 208 thousand downloads last month - 27,836 stars on GitHub - 2 maintainers
mmdet 3.3.0
OpenMMLab Detection Toolbox and Benchmark53 versions - Latest release: 4 months ago - 29 dependent packages - 645 dependent repositories - 208 thousand downloads last month - 27,836 stars on GitHub - 2 maintainers
Top 9.5% on pypi.org
7 versions - Latest release: about 1 year ago - 36 downloads last month - 27,836 stars on GitHub - 2 maintainers
psvis 1.6.0
OpenMMLab Detection Toolbox and Benchmark7 versions - Latest release: about 1 year ago - 36 downloads last month - 27,836 stars on GitHub - 2 maintainers
mlcvzoo-mmdetection 6.5.1
MLCVZoo MMDetection Package16 versions - Latest release: 3 months ago - 1 dependent repositories - 267 downloads last month - 27,745 stars on GitHub - 4 maintainers
trashdetect-engine 0.1.1
trashdetect_engine2 versions - Latest release: almost 2 years ago - 15 downloads last month - 27,745 stars on GitHub - 2 maintainers
autodistill-grounding-dino 0.1.3
GroundingDINO module for use with Autodistill6 versions - Latest release: 5 months ago - 3 dependent repositories - 1.79 thousand downloads last month - 14 stars on GitHub - 3 maintainers
Top 7.6% on pypi.org
6 versions - Latest release: 5 months ago - 1 dependent package - 1 dependent repositories - 3.6 thousand downloads last month - 33 stars on GitHub - 4 maintainers
autodistill-grounded-sam 0.1.2
Automatically distill large foundational models into smaller, in-domain models for deployment6 versions - Latest release: 5 months ago - 1 dependent package - 1 dependent repositories - 3.6 thousand downloads last month - 33 stars on GitHub - 4 maintainers
segmate 0.3.1
SegMate package4 versions - Latest release: 7 months ago - 2 downloads last month - 12 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
Related Keywords
pytorch
41
object-detection
41
instance-segmentation
41
computer-vision
38
auto-labeling
37
deep-learning
37
foundation-models
37
image-annotation
37
image-classification
37
labeling-tool
37
machine-learning
37
model-distillation
37
multimodal
37
segment-anything
37
yolov5
37
yolov8
37
yolo
4
vision-transformer
4
cascade-rcnn
4
convnext
4
detr
4
fast-rcnn
4
faster-rcnn
4
glip
4
mask-rcnn
4
panoptic-segmentation
4
retinanet
4
rtmdet
4
semisupervised-learning
4
ssd
4
swin-transformer
4
transformer
4
autodistill
2
object detection
2
computer vision
2
segment-anything-model
1
prompt-tuning
1
image-segmentation
1
foundation-model
1
grounded-sam
1
autodistill-grounding-dino
1