12 Weeks, 24 Lessons, AI for All!
ncnn is a high-performance neural network inference framework optimized for the mobile platform
Video, Image and GIF upscale/enlarge(Super-Resolution) and Video frame interpolation. Achieved with Waifu2x, Real-ESRGAN, Real-CUGAN, RTX Video Super Resolution VSR, SRMD, RealSR, Anime4K, RIFE, IFRNet, CAIN, DAIN, and ACNet.
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...
Deep Learning Server and CLI for Torch and TensorRT
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)
一款推理框架,同时有很多有用的demo,觉得好用请点星啊
Local Android file converter built with Kotlin and Jetpack Compose. Convert files on device, with no ads, accounts, or upload-based fallback.
Add bisenetv2. My implementation of BiSeNet
🌮 Trash Annotations in Context Dataset Toolkit
PyTorch implementation of FastSurferCNN
Building Convolutional Neural Networks From Scratch using NumPy
AiScan-N 来了!这是一款基于人工智能驱动的Ai自动化网络安全(运维)工具,专注于网络安全评估、漏洞扫描、运维、应急响应、渗透测试自动化,Ai大模型工具集【CLI Agent】 ,Ai驱动的安全检测技术,提升安全测试(运维)效率,专为企业和个人用户打造,尤其适合初学者(小白)快速上手使用,让你轻松迈入智能安全攻防时代!适用场景 :如(红队演练、CTF比赛、Web应用渗透测试、内网横向移动、密码破解与暴力攻击、流量分析与威胁检测、APT攻击模拟、漏洞赏金挑战等场景)🎥演示视频(文章中):https://mp.weixin.qq.com/s/7lsUdbrxkDy4P5pZhEWv7Q
👉 Tensorflow 2.x resources such as tutorial, blog, code and videos
ncnn implementation of Z-Image image generater
ncnn implementation of Qwen-Image-2.1, with text-to-image, image editing, multi-reference image input and transparent RGBA output
本地运行的开源 AI 图片/视频/音频增强工具:图片超分、AI 抠图、视频超分、视频补帧、去重、音频分离与增强(全部在本机完成)。官网与下载:https://alhpro.cn
Teaching-oriented PyTorch course for 3-D seismic denoising with DnCNN, SEG-Y I/O, GUI, notebook, and slides.
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
FaceFusion for Android. Offline face swap running on the phone's NPU, GPU or CPU. Qualcomm Hexagon (v68 to v81), Vulkan fallback, no server and no upload.
Interactive deep learning lab for visualizing forward/backpropagation, training real PyTorch models, and exploring CNNs, Transformers, RNNs, and AI history.
Open Source CNN Image Classifier Builder with Keras and C# Cross Language 2026
SystemVerilog SoC implementing MicroCNN accelerator on the Tang Nano 20K for BloodMNIST image classification.
Fast Track AI Model Training with Streamlit Vision to Production in 2026
No-Code Image Classification Studio: AutoML Tuning Toolkit with Streamlit 2026
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).