101 projects
flatfilediff
Monitor for changes in a file that stores a list of items.
inference-gpu
With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.
inference-cpu
With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.
inference-core
With no prior knowledge of machine learning or device-specific deployment, you can deploy a computer vision model to a range of devices and environments using Roboflow Inference.
disinfo-domains
Analyze the reliability of a source using Wikipedia.
sourcetrust
Analyze the reliability of a source using Wikipedia.
kgl
Knowledge Graph Language (KGL) parser.
autodistill-mobileclip
Model for use with Autodistill
rf-yoloworld
yoloworld
autodistill-efficient-yolo-world
EfficientSAM + YOLO-World base model for use with Autodistill
autodistill-yolo-world
YOLO World for use with Autodistill
autodistill-siglip
SigLIP base model for use with Autodistill
autodistill-efficientsam
EfficientSAM model for use with Autodistill
autodistill
Distill large foundational models into smaller, domain-specific models for deployment
autodistill-roboflow-universe
Use models on Roboflow Universe to auto-label data for use in model training.
autodistill-bioclip
BioCLIP model for use with Autodistill
autodistill-kosmos-2
Kosmos-2 base model for use with Autodistill.
rf-nanoowl
autodistill-gemini
Model for use with Autodistill
autodistill-grounded-edgesam
Model for use with Autodistill
mf2py
Microformats parser
autodistill-dinov2
DINOv2 module for use with Autodistill
autodistill-vlpart
VLPart for use with Autodistill
autodistill-blip
BLIP module for use with Autodistill
autodistill-codet
CoDet model for use with Autodistill
autodistill-detic
DETIC module for use with Autodistill
autodistill-sam-hq
Segment Anything High Quality (SAM HQ) model for use with Autodistill
autodistill-segment-anything
Segment Anything model for use with Autodistill
autodistill-fastsam
FastSAM module for use with Autodistill
autodistill-fastvit
FastViT model for use with Autodistill
autodistill-grounded-sam
Automatically distill large foundational models into smaller, in-domain models for deployment
autodistill-owl-vit
OWL-ViT module for use with Autodistill
autodistill-owlv2
OWLv2 base model for use with Autodistill.
autodistill-transformers
Use object detection models in Hugging Face Transformers to automatically label data to train a fine-tuned model.
autodistill-remote-clip
Remote CLIP model for use with Autodistill
autodistill-altclip
AltCLIP model for use with Autodistill.
autodistill-clip
CLIP module for use with Autodistill
autodistill-metaclip
MetaCLIP base model for use with Autodistill.
autodistill-grounding-dino
GroundingDINO module for use with Autodistill
maestro
Visual Prompting for Large Multimodal Models (LMMs)
supermodal
autodistill-gpt-4v
GPT-4V model for use with Autodistill
autodistill-yolov8
Automatically distill large foundational models into smaller, in-domain models for deployment
autodistill-hls-geospatial
Use the HLS Geospatial model made by NASA and IBM to generate masks for use in training a fine-tuned segmentation model.
autodistill-detr
DETR module for use with Autodistill
autodistill-rekognition
AWS Rekognition base model for use with Autodistill
autodistill-azure-vision
Azure Vision base model for use with Autodistill
autodistill-gcp-vision
Autodistill Google Cloud Vision module for use in training a custom, fine-tuned model.
autodistill-llava
LLaVA for use with Autodistill
autodistill-seggpt
SegGPT for use with Autodistill
getsitemap
Retrieve all URLs from a sitemap.
rf-clip
CLIP (Contrastive Language-Image Pre-Training) is a neural network trained on a variety of (image, text) pairs. It can be instructed in natural language to predict the most relevant text snippet, given an image, without directly optimizing for the task, similarly to the zero-shot capabilities of GPT-2 and 3. We found CLIP matches the performance of the original ResNet50 on ImageNet “zero-shot” without using any of the original 1.28M labeled examples, overcoming several major challenges in computer vision.
visionscript
VisionScript is an abstract programming language for doing common computer vision tasks, fast.
convolutions
Placeholder
vicdocs
viclint
A linter for VisionScript code.
seotools
A collection of tools for use with writing SEO-related programs in Python.
autodistill-sam-clip
SAM-CLIP model for use with Autodistill
magic-scissors
Generate synthetic data for computer vision projects using copy-paste context-augmentation.
autodistill-yolov5
YOLOv5 module for use with Autodistill
autodistill-albef
ALBEF module for use with Autodistill
autodistill-vit
ViT module for use with Autodistill
autodistill-yolonas
YOLO-NAS module for use with Autodistill
pysurprisal
Calculate surprisal for words in text.
autodistill-tag2text
autodistill-open-flamingo
autodistill-yolov9
autodistill-yolov4
autodistill-efficientnet
autodistill-swinv2
autodistill-swin
autodistill-oneformer
autodistill-coca
autodistill-glip
autodistill-chameleon
autodistill-otter
autodistill-deta
autodistill-llama
autodistill-flan
autodistill-yolor
autodistill-yolox
autodistill-yolov6
autodistill-dino
autodistill-flamingo
autodistill-palm-e
autodistill-palm2
autodistill-palm
autodistill-vertex
autodistill-azure
autodistill-blip2
autodistill-chat-gpt
autodistill-gpt5
autodistill-gpt4
rf-groundingdino
open-set object detector
rf-segment-anything
Segment anything with a few lines of code
pyatproto
A wrapper for interacting with the AT Protocol API.
indieweb-utils
Utilities to aid the implementation of various IndieWeb specifications and functionalities.
post-type-discovery
Find the post type associated with a web page in accordance with the Post Type Discovery algorithm.
indieauth-helpers
IndieAuth authorization and callback helpers.
indieauth-helpers-capjamesg
IndieAuth authorization and callback helpers.
