| Name | Version | Summary | date |
| autodistill-gpt-4o |
0.1.5 |
GPT-4o model for use with Autodistill |
2024-05-15 08:54:59 |
| inference-sdk |
0.10.0 |
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. |
2024-05-14 12:26:58 |
| inference-gpu |
0.10.0 |
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. |
2024-05-14 12:26:54 |
| inference-cpu |
0.10.0 |
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. |
2024-05-14 12:26:53 |
| inference-core |
0.10.0 |
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. |
2024-05-14 12:26:51 |
| inference-cli |
0.10.0 |
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 CLI. |
2024-05-14 12:26:49 |
| inference |
0.10.0 |
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. |
2024-05-14 12:26:46 |
| roboflow |
1.1.28 |
Official Python package for working with the Roboflow API |
2024-04-26 20:58:54 |
| autodistill-grounding-dino |
0.1.4 |
GroundingDINO module for use with Autodistill |
2024-04-26 15:36:42 |
| rf-yoloworld |
0.0.1 |
|
2024-02-22 16:37:16 |
| yoloworld |
0.0.1 |
|
2024-02-22 16:37:00 |
| autodistill-efficient-yolo-world |
0.1.1 |
EfficientSAM + YOLO-World base model for use with Autodistill |
2024-02-21 09:31:15 |
| autodistill-yolo-world |
0.1.2 |
YOLO World for use with Autodistill |
2024-02-19 10:26:56 |
| autodistill-siglip |
0.1.0 |
SigLIP base model for use with Autodistill |
2024-02-16 22:09:48 |
| autodistill-efficientsam |
0.1.0 |
EfficientSAM model for use with Autodistill |
2024-02-16 18:39:45 |
| autodistill |
0.1.26 |
Distill large foundational models into smaller, domain-specific models for deployment |
2024-02-13 20:10:14 |
| autodistill-roboflow-universe |
0.1.1 |
Use models on Roboflow Universe to auto-label data for use in model training. |
2024-02-08 09:32:09 |
| autodistill-bioclip |
0.1.0 |
BioCLIP model for use with Autodistill |
2024-02-08 09:09:54 |
| autodistill-kosmos-2 |
0.1.1 |
Kosmos-2 base model for use with Autodistill. |
2024-01-30 21:18:31 |
| autodistill-gemini |
0.1.0 |
Model for use with Autodistill |
2023-12-18 11:41:10 |
Roboflow