Name | Version | Summary | date |
---|---|---|---|
autodistill-clip | 0.1.5 | CLIP module for use with Autodistill | 2023-12-05 09:13:50 |
autodistill-metaclip | 0.1.3 | MetaCLIP base model for use with Autodistill. | 2023-12-05 09:10:45 |
supermodal | 0.0.1 | 2023-11-28 15:52:21 | |
autodistill-yolov8 | 0.1.4 | Automatically distill large foundational models into smaller, in-domain models for deployment | 2023-11-21 12:12:56 |
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-tuned segmentation model. | 2023-11-13 21:26:58 |
autodistill-gpt-4v | 0.1.3 | GPT-4V model for use with Autodistill | 2023-11-08 00:12:25 |
autodistill-detr | 0.1.1 | DETR module for use with Autodistill | 2023-11-01 11:42:34 |
autodistill-rekognition | 0.1.0 | AWS Rekognition base model for use with Autodistill | 2023-10-27 09:46:08 |
autodistill-azure-vision | 0.1.0 | Azure Vision base model for use with Autodistill | 2023-10-27 09:14:09 |
autodistill-gcp-vision | 0.1.0 | Autodistill Google Cloud Vision module for use in training a custom, fine-tuned model. | 2023-10-27 08:58:19 |
autodistill-llava | 0.1.0 | LLaVA for use with Autodistill | 2023-10-16 13:05:00 |
roboflowoak | 0.0.12 | python client for deploying Roboflow models to OAK devices | 2023-08-07 17:00:03 |
autodistill-sam-clip | 0.1.3 | SAM-CLIP model for use with Autodistill | 2023-07-10 15:17:56 |
autodistill-yolov5 | 0.1.2 | YOLOv5 module for use with Autodistill | 2023-06-30 10:05:23 |
autodistill-albef | 0.1.0 | ALBEF module for use with Autodistill | 2023-06-30 09:15:02 |
autodistill-vit | 0.1.0 | ViT module for use with Autodistill | 2023-06-30 08:40:43 |
magic-scissors | 0.0.1 | 2023-06-29 14:03:02 | |
autodistill-tag2text | 0.0.1 | 2023-06-07 13:22:48 | |
autodistill-open-flamingo | 0.0.1 | 2023-06-07 13:20:03 | |
autodistill-yolov9 | 0.0.1 | 2023-06-07 13:19:49 |
hour | day | week | total |
---|---|---|---|
54 | 1958 | 9714 | 274131 |