Running YOLOv5 through web browser using Flask microframework

这是一个YoloV5-pytorch的源码，可以用于训练自己的模型。

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

这是一个yolo3-pytorch的源码，可以用于训练自己的模型。

A demo for train your own dataset on EfficientNet

🌈 📷 Gradient-weighted Class Activation Mapping (Grad-CAM) Demo

Implementing Attention Augmented Convolutional Networks using Pytorch

code and trained models for "Attentional Feature Fusion"

Deep Learning Book Chinese Translation

Gated Channel Transformation for Visual Recognition (CVPR 2020)

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

《Pytorch模型训练实用教程》中配套代码

A PyTorch implementation of EfficientNet

This project explores the opportunities of deep learning for camera control in virtual cinematography.

A PyTorch implementation of the NIPS 2017 paper "Dynamic Routing Between Capsules".

[arXiv 2020] Deep Connected Attention Networks

[ECCV 2020] PSConv: Squeezing Feature Pyramid into One Compact Poly-Scale Convolutional Layer

Non-official implement of Paper：CBAM: Convolutional Block Attention Module

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

Pytorch implementation of cnn network

We are building an open database of COVID-19 cases with chest X-ray or CT images.

A TensorFlow Implementation of Deep Spatio-Temporal Residual Networks (ST-ResNet): https://arxiv.org/abs/1610.00081

Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.

CVPR 论文收集，包含但不限于2022、2021、2020、2019、2018、2017文章

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Notebooks and code for the book "Introduction to Machine Learning with Python"