YzY's repositories
android-knowledge-system
Android应用开发最强原创知识体系
architecture-samples
A collection of samples to discuss and showcase different architectural tools and patterns for Android apps.
awesome-ncnn
😎 A Collection of Awesome NCNN-based Projects
Best-Flutter-UI-Templates
completely free for everyone. Its build-in Flutter Dart.
bolt
Bolt is a deep learning library with high performance and heterogeneous flexibility.
books
编程电子书目录带下载地址
campus_recruitmen_questions
2021年最新整理,5000道秋招/提前批/春招/常用面试题(含答案),包括leetcode,校招笔试题,面试题,算法题,语法题。
CS-Notes
:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计
gemmlowp
Low-precision matrix multiplication
mace
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
mAP
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
mobile-yolov5-pruning-distillation
mobilev2-yolov5s剪枝、蒸馏,支持ncnn,tensorRT部署。ultra-light but better performence!
MobileNet-Yolo
MobileNetV2-YoloV3-Nano: 0.5BFlops 3MB HUAWEI P40: 6ms/img, YoloFace-500k:0.1Bflops 420KB:fire::fire::fire:
Mobilenet-YOLO-Pytorch
Include mobilenet series (v1,v2,v3...) and yolo series (yolov3,yolov4,...)
mobilenet-yolov4-lite-pytorch
这是一个mobilenet-yolov4-lite的库,把yolov4主干网络修改成了mobilenet,修改了Panet的卷积组成,使参数量大幅度缩小。
mobilenet-yolov4-lite-tf2
这是一个mobilenet-yolov4-lite的库,把yolov4主干网络修改成了mobilenet,修改了Panet的卷积组成,使参数量大幅度缩小。
opencv-mobile
The minimal opencv for android and ios
Paddle-Lite
Multi-platform high performance deep learning inference engine (『飞桨』多平台高性能深度学习预测引擎)
PaddleDetection
Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.
RepVGG
RepVGG: Making VGG-style ConvNets Great Again
SoleilNotes
技术面试必备知识点:Android、Java、C、C++、Python、Flutter、Gradle、数据结构、计算机组成原理、计算机网络、操作系统、算法、数据结构、设计模式、密码学等等
Torch-Pruning
Pruning channels for model acceleration
weui
A UI library by WeChat official design team, includes the most useful widgets/modules in mobile web applications.
yolov4-tf2
这是一个yolo4-tf2(tensorflow2)的源码,可以用于训练自己的模型。
yolov4-tiny-pytorch
这是一个YoloV4-tiny-pytorch的源码,可以用于训练自己的模型。
yolov4-tiny-tf2
这是一个YoloV4-tiny-tf2的源码,可以用于训练自己的模型。
YOLOv5-Lite
🍅🍅🍅YOLOv5-Lite: lighter, faster and easier to deploy. Evolved from yolov5 and the size of model is only 1.7M (int8) and 3.3M (fp16). It can reach 10+ FPS on the Raspberry Pi 4B when the input size is 320×320~
YOLOX
YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/
yolox-keras
这是一个yolox-keras的源码,可以用于训练自己的模型。