A treasure chest for visual classification and recognition powered by PaddlePaddle
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Updated
Oct 27, 2025 - Python
A treasure chest for visual classification and recognition powered by PaddlePaddle
Research and Production Oriented Speaker Verification, Recognition and Diarization Toolkit
Deep Neural Network Architectures with dlib
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
🍅🍅🍅YOLOv5-Lite: Evolved from yolov5 and the size of model is only 900+kb (int8) and 1.7M (fp16). Reach 15 FPS on the Raspberry Pi 4B~
The basic course of artificial intelligence of BJTU, 12 kinds of animal recognition based on paddlepaddle framework
RepVGG: Making VGG-style ConvNets Great Again
Python packaged version of repvgg and repvggplus
Object Classification Training Framework
A PaddlePaddle version image model zoo.
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