Easy-to-use,Modular and Extendible package of deep-learning based CTR models .
Pre-trained Deep Learning models and demos (high quality and extremely fast)
🔎 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including PSNR, SSIM, LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...
Class activation maps for your PyTorch models (CAM, Grad-CAM, Grad-CAM++, Smooth Grad-CAM++, Score-CAM, SS-CAM, IS-CAM, XGrad-CAM, Layer-CAM, Finer-CAM, LeGrad, RefineCAM)
Add bisenetv2. My implementation of BiSeNet
PyTorch implementation of FastSurferCNN
Building Convolutional Neural Networks From Scratch using NumPy
Code for Paper "RoboECC: Multi-Factor-Aware Edge-Cloud Collaborative Deployment for VLA Models" accepted by IJCNN 2026.
深度学习与强化学习的系统学习路线:39 个实验,每个配数学推导笔记、原创插图和从零实现的代码
A ResNet50-DCBAM deep learning framework for plant disease classification using the PlantVillage dataset with reproducible training and evaluation pipelines.
Attribute an image to the model that generated it — from raw pixels, with a ~6M-parameter CNN (RPA).