hermosayhl

coding-interview-university

A complete computer science study plan to become a software engineer.

scrcpy

Display and control your Android device

imgui

Dear ImGui: Bloat-free Graphical User interface for C++ with minimal dependencies

stb

stb single-file public domain libraries for C/C++

vision

Datasets, Transforms and Models specific to Computer Vision

MNN

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

Tengine

Tengine is a lite, high performance, modular inference engine for embedded device

AITemplate

AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

yyjson

The fastest JSON library in C

awesome-semantic-segmentation-pytorch

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

opencv-mobile

The minimal opencv for Android, iOS, ARM Linux, Windows, Linux, MacOS, WebAssembly

lodepng

PNG encoder and decoder in C and C++.

QNNPACK

Quantized Neural Network PACKage - mobile-optimized implementation of quantized neural network operators

FBGEMM

FB (Facebook) + GEMM (General Matrix-Matrix Multiplication) - https://code.fb.com/ml-applications/fbgemm/

awesome-ncnn

😎 A Collection of Awesome NCNN-based Projects

Paddle-Lite-Demo

lib, demo, model, data

pnnx

PyTorch Neural Network eXchange

MNN-APPLICATIONS

MNN applications by MNN, JNI exec, RK3399. Support tflite\tensorflow\caffe\onnx models.

FlowFormer-Official

cmake_examples

Practical, Easy-to-copy CMake examples

deeplearningtheory

ClassificationForAndroid

在Android使用深度学习模型实现图像识别，本项目提供了多种使用方式，使用到的框架如下：Tensorflow Lite、Paddle Lite、MNN、TNN

Android-FaceDetection-UltraNet-MNN

Android face detection 30+ FPS, pretrained weight 1MB.

MNN_Demo

🥭 移动端MNN部署学习笔记。支持Android与iOS。

DeepLearningDeployment

Examples and tools for deep learning deployment

pixel

Image processing library for learning purpose

DL-Compiler-Navigation

Machine Learning Compiler Road Map

deeplens_eval

KantuCompare

Visual comparison for YUV and JPG/PNG images.

vs-boxblur

AVX2-vectorized box filter