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3d-attention-keras

This repo contains the 3D implementation of the commonly used attention mechanism for imaging.

adversarial_multi_feedback_ranking

Multi-feedback Pairwise Ranking via Adversarial Training for Recommender

apolloscape4mmseg

autolabelme

use DL model automatically label image

crack-segmentation-fastdeploy

This repository uses FastDeploy for model deployment and builds using xmake

dacn

Hyperspectral Unmixing via Dual Attention Convolutional Neural Networks | 基于双注意力卷积神经网络的高光谱图像解混

dataset-format-conversion

DAIR-V2X and TT-100K Dataset format conversion

generatepoetry-translate

✨Using RNN and LSTM generate poetry by Keras, and translate poetry. (通过Keras实现基于RNN与LSTM的藏头诗自动生成模型, 并将生成的古诗翻译成英文.)

handwriting-recognition

✨Using Neural Network and Convolution Neural Network to realize simple handwritten recognition, and using OpenCV to recognition. (利用 NN， CNN 等 实现简单的手写数字识别, 并使用 OpenCV 进行实时的检测)

hcnetsdk-python

HKVISION SDK for Python

hexo-theme-icarus

Icarus 主题个人魔改版

label-studio-ml-backend-boilerplates

Utilizing Yolov5, Fastdeploy, and other technologies as the Machine Learning backend for Label Studio.

laugh12321.github.io

💎My New Blog

model_crypto

A Python and C++ library for model encryption and decryption, built on Crypto++, with support for various deep learning frameworks including TensorRT, PyTorch, Paddle, and more. Protect your AI models with robust encryption techniques.

nanosam

A distilled Segment Anything (SAM) model capable of running real-time with NVIDIA TensorRT

neural-style

🌈Implementation of Neural Style Transfer from the paper A Neural Algorithm of Artistic Style in Keras 2.0+ (基于 Keras2.0+ 实现神经风格转移 )

none

ohmyposh-theme-dracula

🧛‍♂️ Dracula theme for Oh-my-posh v3

paddledetection

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

roadlanefitting

Lane Line Fitting Based on Perspective Transformation | 基于透视变换的车道线拟合

tensorrt-yolo

🚀 TensorRT-YOLO: Supports YOLOv3, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv9, YOLOv10, and PP-YOLOE using TensorRT acceleration with EfficientNMS, CUDA Kernels and CUDA Graphs!

yolov10

YOLOv10: Real-Time End-to-End Object Detection

yolov9

Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information