Ecosyste.ms: Packages

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

pypi.org "model-distillation" keyword

autodistill-rekognition 0.1.0
AWS Rekognition base model for use with Autodistill
1 version - Latest release: 7 months ago - 11 downloads last month - 0 stars on GitHub - 4 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: 7 months ago - 27 downloads last month - 0 stars on GitHub - 4 maintainers
darklight 0.4
A library for accelerating knowledge distillation training
4 versions - Latest release: over 1 year ago - 36 downloads last month - 14 stars on GitHub - 1 maintainer
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 Autodistill
1 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 Autodistill
5 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 Autodistill
1 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 Autodistill
3 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 Autodistill
1 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 Autodistill
1 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 deployment
1 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
autodistill 0.1.26
Distill large foundational models into smaller, domain-specific models for deployment
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
Related Keywords
object-detection 39 computer-vision 38 deep-learning 38 pytorch 38 yolov8 37 yolov5 37 segment-anything 37 multimodal 37 machine-learning 37 labeling-tool 37 instance-segmentation 37 image-classification 37 image-annotation 37 grounding-dino 37 foundation-models 37 auto-labeling 37 autodistill 2 tensorrt 1 google-cloud 1 aws-rekognition 1