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Render beautiful LaTeX Math Equations in an Android View
这是一个由python开发的tradingview策略信号接收工具,并在okx交易所的合约市场实现自动化交易,支持分批的方式!欢迎star和使用!!! This is a python developed by the tradingview strategy signal reception tool, and in the okx exchange contract market to …
Implementation of paper - YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information
Xray, Penetrates Everything. Also the best v2ray-core, with XTLS support. Fully compatible configuration.
加密货币监控悬浮窗口软件工具(支持全Windows、MAC、Linux)
mimalloc is a compact general purpose allocator with excellent performance.
Library and example for the MAX30102 Heart Rate and Pulse Oxymeter Sensor on the ESP32 processor.
ESP32+LM35+MAX30102+Firebase-database+Flutter
Ultra-lightweight human body posture key point CNN model. ModelSize:2.3MB HUAWEI P40 NCNN benchmark: 6ms/img,
NEW - YOLOv8 🚀 in PyTorch > ONNX > OpenVINO > CoreML > TFLite
A C++ header-only HTTP/HTTPS server and client library
tensorrt for yolo series (YOLOv10,YOLOv9,YOLOv8,YOLOv7,YOLOv6,YOLOX,YOLOv5), nms plugin support
Code for 3rd Place Solution in Face Anti-spoofing Attack Detection Challenge @ CVPR2019,model only 0.35M!!! 1.88ms(CPU)
EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activations.
Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-…
Pruning and quantization for SSD. Model compression.
自己编译完成的OpenCV4Android SDK,基于OpenCV3.3, 支持DNN、xfeature2d扩展模块功能
基于OpenCV4.0 C++/Python SDK的案例代码演示程序与效果图像
A Pytorch implementation of MoveNet from Google. Include training code and pre-trained model.
Fast and accurate human pose estimation in PyTorch. Contains implementation of "Real-time 2D Multi-Person Pose Estimation on CPU: Lightweight OpenPose" paper.
TinyMaix is a tiny inference library for microcontrollers (TinyML).