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

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

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

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

Pytorch implementation of convolutional neural network visualization techniques

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

BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models

All-in-One Development Tool based on PaddlePaddle ( phi mái chèo vừa đứng thức toàn lưu trình khai phá công cụ )

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

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

unet for image segmentation

Segment Anything in High Quality [NeurIPS 2023]

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

The OCR approach is rephrased as Segmentation Transformer:https://arxiv.org/abs/1909.11065.This is an official implementation of semantic segmentation for HRNet.https://arxiv.org/abs/1908.07919

Mask RCNN in TensorFlow

PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space

Chiều sâu học tập nhập môn khóa, thâm niên khóa, đặc sắc khóa, học thuật trường hợp, sản nghiệp thực tiễn trường hợp, chiều sâu học tập tri thức bách khoa cập phỏng vấn đề kho The course, case and knowledge of Deep Learning and AI

Sandbox for training deep learning networks

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)