Matthew Lee's starred repositories
pytorch-lightning
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
HivisionIDPhotos
⚡️HivisionIDPhotos: a lightweight and efficient AI ID photos tools. 一个轻量级的AI证件照制作算法。
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
EfficientNet-PyTorch
A PyTorch implementation of EfficientNet
pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
pytorch-summary
Model summary in PyTorch similar to `model.summary()` in Keras
Deep-Learning
:computer:深度学习实战：手写数字识别、Discuz验证码识别、垃圾分类、语义分割
AppleNeuralHash2ONNX
Convert Apple NeuralHash model for CSAM Detection to ONNX.
metacubexd
Mihomo Dashboard, The Official One, XD
partialconv
A New Padding Scheme: Partial Convolution based Padding
TinyEngine
Tiny OpenGL Wrapper / 3D Engine in C++
onnxmltools
ONNXMLTools enables conversion of models to ONNX
wx-tfjs-demo
微信小程序运行 TensorFlow 的 Demo
Qwen2.5-Math
A series of math-specific large language models of our Qwen2 series.
LaTeXSwiftUI
A SwiftUI view that renders LaTeX.
finalization-hook
Run a "hook" lambda after a block of code regardless of whether the block succeeds, fails, or the application is killed.
pixel32-pixel-font
pixel32 (像素32）is a pixel font (像素字体), supporting English, Simplified Chinese and Japanese.
TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. TNN：由腾讯优图实验室和光影实验室协同打造，移动端高性能、轻量级推理框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地，欢迎大家参与协同共建，促进TNN推理框架进一步完善。