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dph1983's Projects

abu icon abu

阿布量化交易系统(股票,期权,期货,比特币,机器学习) 基于python的开源量化交易,量化投资架构

adelaidet icon adelaidet

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

appshift-memorypool icon appshift-memorypool

A very fast cross-platform memory pool mechanism for C++ built using a data-oriented approach (3 to 24 times faster than regular new or delete, depending on operating system & compiler)

autohotkey_l icon autohotkey_l

AutoHotkey - macro-creation and automation-oriented scripting utility for Windows.

autotrade icon autotrade

一款自动化交易框架, 可以在其基础上 架设自己的策略交易系统

backtrader icon backtrader

Python Backtesting library for trading strategies

chatgpt icon chatgpt

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

cnn-explainer icon cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

ffmpeg icon ffmpeg

Mirror of https://git.ffmpeg.org/ffmpeg.git

imgaug icon imgaug

Image augmentation for machine learning experiments.

knover icon knover

Large-scale open domain KNOwledge grounded conVERsation system based on PaddlePaddle

labelme icon labelme

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

libbacktrace icon libbacktrace

A C library that may be linked into a C/C++ program to produce symbolic backtraces

llvm-project icon llvm-project

The LLVM Project is a collection of modular and reusable compiler and toolchain technologies. Note: the repository does not accept github pull requests at this moment. Please submit your patches at http://reviews.llvm.org.

micronet icon micronet

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-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

nanodet icon nanodet

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

netron icon netron

Visualizer for neural network, deep learning, and machine learning models

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