Rule Based Classification Project

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Deep LearningRule-Based-Classification-Project
Overview

Kural Tabanlı Sınıflandırma ile Potansiyel Müşteri Getirisi Hesaplama

İş Problemi: Bir oyun şirketi müşterilerinin bazı özelliklerini kullanaraknseviye tabanlı (level based) yeni müşteri tanımları (persona) oluşturmak ve bu yeni müşteri tanımlarına göre segmentler oluşturup bu segmentlere göre yeni gelebilecek müşterilerin şirkete ortalama ne kadar kazandırabileceğini tahmin etmek istemektedir.

Örneğin: Türkiye’den IOS kullanıcısı olan 25 yaşındaki bir erkek kullanıcının ortalama ne kadar kazandırabileceği belirlenmek isteniyor.

Owner
Şafak
Şafak
GitHub Repository
Inference pipeline for our participation in the FeTA challenge 2021.

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Lucas Fidon 2 Apr 13, 2022
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Ghidra Ninja 29 Dec 06, 2022
CIFAR-10_train-test - training and testing codes for dataset CIFAR-10

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Frederick Wang 3 Apr 26, 2022
基于Pytorch实现优秀的自然图像分割框架！(包括FCN、U-Net和Deeplab)

语义分割学习实验-基于VOC数据集 usage： 下载VOC数据集，将JPEGImages SegmentationClass两个文件夹放入到data文件夹下。 终端切换到目标目录，运行python train.py -h查看训练 (torch) Li Xiang 28 Dec 21, 2022

links and status of cool gradio demos

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A rough implementation of the paper "A Steering Algorithm for Redirected Walking Using Reinforcement Learning"

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[PAMI 2020] Show, Match and Segment: Joint Weakly Supervised Learning of Semantic Matching and Object Co-segmentation

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This is the official PyTorch implementation of our paper: "Artistic Style Transfer with Internal-external Learning and Contrastive Learning".

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Meli Data Challenge 2021 - First Place Solution

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