Ecosyste.ms: Packages

An open API service providing package, version and dependency metadata of many open source software ecosystems and registries.

pypi.org maintainers: yeldarb

magic-scissors 0.1.0
Generate synthetic data for computer vision projects using copy-paste context-augmentation.
2 versions - Latest release: 11 months ago - 21 downloads last month - 2 maintainers
autodistill-roboflow-universe 0.1.1
Use models on Roboflow Universe to auto-label data for use in model training.
2 versions - Latest release: 4 months ago - 33 downloads last month - 3 stars on GitHub - 2 maintainers
autodistill-sam-hq 0.1.1
Segment Anything High Quality (SAM HQ) model for use with Autodistill
2 versions - Latest release: 6 months ago - 31 downloads last month - 6 stars on GitHub - 2 maintainers
autodistill-metaclip 0.1.3
MetaCLIP base model for use with Autodistill.
4 versions - Latest release: 6 months ago - 63 downloads last month - 16 stars on GitHub - 2 maintainers
autodistill-vit 0.1.0
ViT module for use with Autodistill
2 versions - Latest release: 12 months ago - 1 dependent package - 45 downloads last month - 4 stars on GitHub - 2 maintainers
autodistill-clip 0.1.5
CLIP module for use with Autodistill
6 versions - Latest release: 6 months ago - 248 downloads last month - 7 stars on GitHub - 2 maintainers
autodistill-siglip 0.1.0
SigLIP base model for use with Autodistill
1 version - Latest release: 4 months ago - 28 downloads last month - 6 stars on GitHub - 2 maintainers
inference-core 0.10.0
With no prior knowledge of machine learning or device-specific deployment, you can deploy a compu...
45 versions - Latest release: 27 days ago - 484 downloads last month - 1,026 stars on GitHub - 5 maintainers
Top 5.9% on pypi.org
inference 0.10.0
With no prior knowledge of machine learning or device-specific deployment, you can deploy a compu...
45 versions - Latest release: 27 days ago - 11 dependent repositories - 16.5 thousand downloads last month - 1,026 stars on GitHub - 4 maintainers
inference-cpu 0.10.0
With no prior knowledge of machine learning or device-specific deployment, you can deploy a compu...
45 versions - Latest release: 27 days ago - 526 downloads last month - 1,026 stars on GitHub - 5 maintainers
inference-gpu 0.10.0
With no prior knowledge of machine learning or device-specific deployment, you can deploy a compu...
45 versions - Latest release: 27 days ago - 13 thousand downloads last month - 1,026 stars on GitHub - 5 maintainers
autodistill-dinov2 0.1.1
DINOv2 module for use with Autodistill
3 versions - Latest release: 6 months ago - 40 downloads last month - 10 stars on GitHub - 2 maintainers
autodistill-owlv2 0.1.1
OWLv2 base model for use with Autodistill.
2 versions - Latest release: 6 months ago - 88 downloads last month - 2 stars on GitHub - 2 maintainers
autodistill-altclip 0.1.2
AltCLIP model for use with Autodistill.
3 versions - Latest release: 6 months ago - 18 downloads last month - 0 stars on GitHub - 2 maintainers
autodistill-vlpart 0.1.1
VLPart for use with Autodistill
2 versions - Latest release: 6 months ago - 16 downloads last month - 5 stars on GitHub - 2 maintainers
autodistill-seggpt 0.1.6
SegGPT for use with Autodistill
6 versions - Latest release: 9 months ago - 112 downloads last month - 4 stars on GitHub - 3 maintainers
Top 7.7% on pypi.org
rf-segment-anything 1.0
Segment anything with a few lines of code
1 version - Latest release: about 1 year ago - 11 dependent packages - 1 dependent repositories - 4.3 thousand downloads last month - 2 maintainers
Top 3.2% on pypi.org
roboflow 1.1.28
Official Python package for working with the Roboflow API
84 versions - Latest release: about 1 month ago - 18 dependent packages - 37 dependent repositories - 337 thousand downloads last month - 194 stars on GitHub - 5 maintainers
Top 1.5% on pypi.org
supervision 0.20.0
A set of easy-to-use utils that will come in handy in any Computer Vision project
63 versions - Latest release: about 2 months ago - 80 dependent packages - 214 dependent repositories - 233 thousand downloads last month - 14,037 stars on GitHub - 2 maintainers
autodistill-transformers 0.1.1
Use object detection models in Hugging Face Transformers to automatically label data to train a f...
2 versions - Latest release: 6 months ago - 25 downloads last month - 1 stars on GitHub - 2 maintainers
autodistill-azure-vision 0.1.0
Azure Vision base model for use with Autodistill
1 version - Latest release: 8 months ago - 12 downloads last month - 0 stars on GitHub - 2 maintainers
autodistill-owl-vit 0.1.2
OWL-ViT module for use with Autodistill
4 versions - Latest release: 6 months ago - 95 downloads last month - 3 stars on GitHub - 2 maintainers
autodistill-detr 0.1.1
DETR module for use with Autodistill
3 versions - Latest release: 7 months ago - 75 downloads last month - 1 stars on GitHub - 2 maintainers
autodistill-rekognition 0.1.0
AWS Rekognition base model for use with Autodistill
1 version - Latest release: 8 months ago - 11 downloads last month - 0 stars on GitHub - 2 maintainers
autodistill-kosmos-2 0.1.1
Kosmos-2 base model for use with Autodistill.
2 versions - Latest release: 4 months ago - 31 downloads last month - 4 stars on GitHub - 2 maintainers
autodistill-yolov5 0.1.2
YOLOv5 module for use with Autodistill
2 versions - Latest release: 12 months ago - 116 downloads last month - 1 stars on GitHub - 2 maintainers
supermodal 0.0.1
1 version - Latest release: 6 months ago - 17 downloads last month - 2 maintainers
rf-nanoowl 0.0.1
1 version - Latest release: 4 months ago - 11 downloads last month - 2 maintainers
maestro 0.2.0
Visual Prompting for Large Multimodal Models (LMMs)
7 versions - Latest release: almost 12 years ago - 3 dependent repositories - 254 downloads last month - 966 stars on GitHub - 3 maintainers
autodistill-gcp-vision 0.1.0
Autodistill Google Cloud Vision module for use in training a custom, fine-tuned model.
1 version - Latest release: 8 months ago - 23 downloads last month - 0 stars on GitHub - 2 maintainers
autodistill-grounding-dino 0.1.3
GroundingDINO module for use with Autodistill
7 versions - Latest release: 6 months ago - 1 dependent package - 3 dependent repositories - 2.71 thousand downloads last month - 14 stars on GitHub - 3 maintainers
rf-groundingdino 0.2.0
open-set object detector
4 versions - Latest release: about 1 month ago - 9 dependent packages - 1 dependent repositories - 6.65 thousand downloads last month - 5 stars on GitHub - 3 maintainers
autodistill-hls-geospatial 0.1.0
Use the HLS Geospatial model made by NASA and IBM to generate masks for use in training a fine-tu...
1 version - Latest release: 7 months ago - 21 downloads last month - 1 stars on GitHub - 2 maintainers
rf-yoloworld 0.0.1
1 version - Latest release: 4 months ago - 18 downloads last month - 3 maintainers
autodistill-yolo-world 0.1.2
YOLO World for use with Autodistill
3 versions - Latest release: 4 months ago - 1 dependent package - 85 downloads last month - 3 stars on GitHub - 2 maintainers
yoloworld 0.0.1
1 version - Latest release: 4 months ago - 97 downloads last month - 3 maintainers
autodistill-codet 0.1.2
CoDet model for use with Autodistill
3 versions - Latest release: 6 months ago - 44 downloads last month - 0 stars on GitHub - 2 maintainers
autodistill-sam-clip 0.1.3
SAM-CLIP model for use with Autodistill
4 versions - Latest release: 11 months ago - 105 downloads last month - 10 stars on GitHub - 3 maintainers
autodistill-efficient-yolo-world 0.1.1
EfficientSAM + YOLO-World base model for use with Autodistill
2 versions - Latest release: 4 months ago - 51 downloads last month - 2 maintainers
Top 7.6% on pypi.org
autodistill-grounded-sam 0.1.2
Automatically distill large foundational models into smaller, in-domain models for deployment
6 versions - Latest release: 6 months ago - 7 dependent packages - 1 dependent repositories - 3.07 thousand downloads last month - 36 stars on GitHub - 2 maintainers
autodistill-gemini 0.1.0
Model for use with Autodistill
2 versions - Latest release: 6 months ago - 26 downloads last month - 1 stars on GitHub - 2 maintainers
autodistill-chameleon 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 26 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-otter 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 23 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-swinv2 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 30 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-gpt4 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 25 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-remote-clip 0.1.2
Remote CLIP model for use with Autodistill
3 versions - Latest release: 6 months ago - 34 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-tag2text 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 31 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-open-flamingo 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 26 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-llama 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 29 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-yolov6 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 24 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-efficientnet 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 26 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-flan 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 25 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-oneformer 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 24 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-azure 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 32 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-deta 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 27 downloads last month - 1,566 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: about 1 year ago - 29 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-chat-gpt 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 30 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-blip2 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 25 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-blip 0.1.3
BLIP module for use with Autodistill
5 versions - Latest release: 6 months ago - 1 dependent package - 79 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-albef 0.1.0
ALBEF module for use with Autodistill
1 version - Latest release: 12 months ago - 30 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-dino 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 25 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-palm 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 23 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-gpt5 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 22 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-yolox 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 30 downloads last month - 1,566 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: about 1 year ago - 22 downloads last month - 1,519 stars on GitHub - 2 maintainers
autodistill-llava 0.1.0
LLaVA for use with Autodistill
1 version - Latest release: 8 months ago - 54 downloads last month - 1,566 stars on GitHub - 2 maintainers
Top 4.3% on pypi.org
autodistill 0.1.26
Distill large foundational models into smaller, domain-specific models for deployment
29 versions - Latest release: 4 months ago - 39 dependent packages - 2 dependent repositories - 6.55 thousand downloads last month - 1,566 stars on GitHub - 3 maintainers
autodistill-yolov4 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 28 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-glip 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 24 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-vertex 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 30 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-swin 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 19 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-bioclip 0.1.0
BioCLIP model for use with Autodistill
1 version - Latest release: 4 months ago - 17 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-yolov9 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 36 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-yolor 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 26 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-efficientsam 0.1.0
EfficientSAM model for use with Autodistill
1 version - Latest release: 4 months ago - 1 dependent package - 58 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-palm-e 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 26 downloads last month - 1,566 stars on GitHub - 2 maintainers
autodistill-palm2 0.0.1
Images to inference with no labeling (use foundation models to train supervised models).
1 version - Latest release: about 1 year ago - 15 downloads last month - 1,519 stars on GitHub - 2 maintainers
autodistill-yolov8 0.1.4
Automatically distill large foundational models into smaller, in-domain models for deployment
6 versions - Latest release: 7 months ago - 2 dependent packages - 3.15 thousand downloads last month - 36 stars on GitHub - 2 maintainers
autodistill-grounded-edgesam 0.1.0
Model for use with Autodistill
1 version - Latest release: 6 months ago - 47 downloads last month - 1 stars on GitHub - 2 maintainers
autodistill-gpt-4v 0.1.5
GPT-4V model for use with Autodistill
6 versions - Latest release: 7 months ago - 1 dependent repositories - 93 downloads last month - 24 stars on GitHub - 2 maintainers
autodistill-yolonas 0.1.1
YOLO-NAS module for use with Autodistill
2 versions - Latest release: about 1 year ago - 67 downloads last month - 4 stars on GitHub - 2 maintainers
autodistill-detic 0.1.6
DETIC module for use with Autodistill
7 versions - Latest release: 6 months ago - 239 downloads last month - 10 stars on GitHub - 3 maintainers
roboflowoak 0.0.12
python client for deploying Roboflow models to OAK devices
11 versions - Latest release: 10 months ago - 1 dependent repositories - 453 downloads last month - 3 maintainers