Collaborative filtering recommendation system built with sklearn and Amazon books, user and ratings datasets sourced from Kaggle

Code from Youtube Tutorial Series

Minimal PyTorch implementation of YOLACT.

joint detection and semantic segmentation, based on ultralytics/yolov5,

YoloV5 NPU for the RK3566/68/88

Inference YOLOv7 segmentation on ONNX, RKNN, Horizon and TensorRT

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

Inference YOLOv8 segmentation on ONNX, RKNN, Horizon and TensorRT

Modify Code From rknn-toolkit2

A simple demo of yolov5s running on rk3588/3588s using Python (about 72 frames). / 一个使用Python在rk3588/3588s上运行的yolov5s简单demo(大约72帧/s)。

A simple demo of yolov5s running on rk3588/3588s using c++ (about 142 frames). / 一个使用c++在rk3588/3588s上运行的yolov5s简单demo(142帧/s)。

#CV-SUMMER-CAMP-2022 Репозиторий материалов Летней школы ННГУ им. Н.И. Лобачевского по компьютерному зрению

Примеры использования библиотек sklean, pandas, numpy и др для курса по машинному обучению

Development of a prototype engine for searching for goods on the tender procurement portal

Шпаргалка по консольным командам Git