apple-aiml-research/ml-cvnets
CVNets: A library for training computer vision networks
- Stars
- 2.0k
- Forks
- 257
- Open issues
- 0
- Last push
- 1mo ago
About ml-cvnets
ml-cvnets is a free, open-source computer vision tool by apple-aiml-research, written mainly in Python. CVNets: A library for training computer vision networks. It has 2.0k GitHub stars and 257 forks, and was last updated 1mo ago. GitHub doesn't detect a standard license, so check the repository before using it commercially.
- License
- Not detected
- Language
- Python
- Stars
- 1,996
- Last update
- 1mo ago
- Runs on Mac
- Not stated
- GPU
- Not stated
- Paid API key
- Not stated
- Self-hostable
- Yes
Similar free tools
ultralytics63k stars · Ultralytics YOLO27, YOLO26, YOLO11, YOLOv8 — object detection, instance segmentation, semantic segmentation, image classification, pose estimation, object tracking
supervision51k stars · We write your reusable computer vision tools. 💜
yolov558k stars · Ultralytics YOLOv5 in PyTorch for object detection, instance segmentation, classification, training, and export.
deep-learning-drizzle13k stars · Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
pytorch-grad-cam13k stars · Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
autogluon11k stars · Fast and Accurate ML in 3 Lines of Code
ml-cvnets FAQ
Is ml-cvnets free?
Yes. ml-cvnets is open source and free to use. GitHub doesn't detect a standard license, so check the repository before using it commercially.
Does ml-cvnets run on a Mac?
The project doesn't say. Check its installation guide before you start.
Does ml-cvnets need a GPU?
The project doesn't state hardware needs. AI models generally run much faster with a GPU.
Is ml-cvnets still maintained?
It was last updated 1mo ago. Check recent issues on GitHub to judge how active it is.
What are alternatives to ml-cvnets?
Similar free, open-source tools include ultralytics, supervision, yolov5, deep-learning-drizzle.