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natgrid

nginx

An official read-only mirror of http://hg.nginx.org/nginx/ which is updated hourly. Pull requests on GitHub cannot be accepted and will be automatically closed. The proper way to submit changes to nginx is via the nginx development mailing list, see http://nginx.org/en/docs/contributing_changes.html

ninja

a small build system with a focus on speed

nlp-learning-tutorials

nsga-ii

This is a python implementation of NSGA-II algorithm. NSGA is a popular non-domination based genetic algorithm for multi-objective optimization. It is a very effective algorithm but has been generally criticized for its computational complexity, lack of elitism and for choosing the optimal parameter value for sharing parameter σshare. A modified version, NSGA II was developed, which has a better sorting algorithm , incorporates elitism and no sharing parameter needs to be chosen a priori.

nsga-ii-

Nondominated sorting genetic algorithm

nsga-ii-1

Implementation of NSGA-II algorithm in form of a python library.

ntcir-qalab-cmu-baseline

NTCIR-11 QA-Lab CMU Baseline

object-detection-and-tracking

YOLO & RCNN Object Detection and Multi-Object Tracking

objectdetection-onestagedet

opencv-python-turorial

opencv_contrib

Repository for OpenCV's extra modules

opencv_tensorflow_peopledetection

Tracking people with a common security camera and a section with aerial view of the same video.

opencvforandroid

目标检测&目标追踪&人脸检测&人脸识别

optimizationalgorithmlib

paddleclas

A treasure chest for visual classification and recognition powered by PaddlePaddle

pandas-cn

Pandas中文文档，欢迎贡献！

parc-net

[ECCV 2022] Source code of "EdgeFormer: Improving Light-weight ConvNets by Learning from Vision Transformers"

peopleflowdetection

Intelligent scenic spot embedded people flow detection program

pipal-dataset

[ Official ] - PIPAL Dataset and Training Codebase. ECCV-2020, NTIRE-21/22.

platemo

Evolutionary multi-objective optimization platform

plmp

minimal problems with points, lines, and their incidences

pngan

"Learning to Generate Realistic Noisy Images via Pixel-level Noise-aware Adversarial Training" (NeurIPS 2021)

ppso

Source codes of Phasor Particle Swarm Optimization based on Soft Computing paper

process_image

generate noise image 生成噪声图片，用来cv领域

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

pycma

Python implementation of CMA-ES

pymetaheuristic

A python library for the following Metaheuristics: Adaptive Random Search, Ant Lion Optimizer, Arithmetic Optimization Algorithm, Artificial Bee Colony Optimization, Artificial Fish Swarm Algorithm, Bat Algorithm, Biogeography Based Optimization, Cross-Entropy Method, Crow Search Algorithm, Cuckoo Search, Differential Evolution, Dispersive Flies Optimization, Dragonfly Algorithm, Firefly Algorithm, Flow Direction Algorithm, Flower Pollination Algorithm, Genetic Algorithm, Grasshopper Optimization Algorithm, Gravitational Search Algorithm, Grey Wolf Optimizer, Harris Hawks Optimization, Improved Grey Wolf Optimizer, Improved Whale Optimization Algorithm, Jaya, Jellyfish Search Optimizer, Krill Herd Algorithm, Memetic Algorithm, Moth Flame Optimization, Multiverse Optimizer, Pathfinder Algorithm, Particle Swarm Optimization, Random Search, Salp Swarm Algorithm, Simulated Annealing, Sine Cosine Algorithm, Student Psychology Based Optimization; Teaching Learning Based Optimization, Whale Optimization Algorithm.

pymoo

NSGA2, NSGA3, R-NSGA3, MOEAD, Genetic Algorithms (GA), Differential Evolution (DE), CMAES, PSO

python

All Algorithms implemented in Python