Top 4 pretrained Open-Source Projects

models

7 7,158 5.2 Jupyter Notebook

A collection of pre-trained, state-of-the-art models in the ONNX format (by onnx)

Project mention: AMD Accelerates AI Adoption on Windows 11 With New Developer Tools for Ryzen AI | /r/AMD_Stock | 2023-05-23

Uh, maybe they didn't feel the need to look. I already pointed you to the ONNX project. Here are some ONNX-based. These are just the ones being shared with the community. The limit of AMD's responsibility is writing the low-level libraries to support ONNX.

segmentation_models

8 4,602 0.0 Python

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Project mention: Instance segmentation of small objects in grainy drone imagery | /r/computervision | 2023-12-09

Also, I’d suggest considering switching to the segmentation-models library - it provides U-Net models with a variety of pretrained backbones of as encoders. The author also put out a PyTorch version. https://github.com/qubvel/segmentation_models.pytorch https://github.com/qubvel/segmentation_models

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gan-vae-pretrained-pytorch

1 162 0.0 Jupyter Notebook

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.
Did-Somebody-Say-Corgi

3 87 0.0 Jupyter Notebook

Image Synthesis + Corgis = <3

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).