MIC-DKFZ/nnUNet

deep learning for image processing including classification and object-detection etc.

Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Hello AI World guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and NVIDIA Jetson.

BoxMOT: Pluggable python and c++ SOTA multi-object tracking modules with support for axis-aligned and oriented bounding boxes

Pytorch implementation of convolutional neural network visualization techniques

All-in-One Development Tool based on PaddlePaddle

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

unet for image segmentation

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

PointNet and PointNet++ implemented by pytorch (pure python) and on ModelNet, ShapeNet and S3DIS.