Hepsiburada Urun Bilgisi Cekme
from hepsiburada import Marka
nike = Marka("nike")
nike.sayfalar()
nike.urunler(sayfano=3)
for sku, urun in nike.urun_listesi.items():
print(sku, urun.price)
Hepsiburada - Hepsiburada Urun Bilgisi Cekme
Overview
UV matrix decompostion using movielens dataset
UV-matrix-decompostion-with-kfold UV matrix decompostion using movielens dataset upload the 'ratings.dat' file install the following python libraries
2 Oct 18, 2022
The Dual Memory is build from a simple CNN for the deep memory and Linear Regression fro the fast Memory
Simple-DMA a simple Dual Memory Architecture for classifications. based on the paper Dual-Memory Deep Learning Architectures for Lifelong Learning of
1 Jan 27, 2022
This repo holds the code of TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation
TransFuse This repo holds the code of TransFuse: Fusing Transformers and CNNs for Medical Image Segmentation Requirements Pytorch=1.6.0, 1.9.0 (=1.
93 Dec 19, 2022
Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding (AAAI 2020) - PyTorch Implementation
Scalable Attentive Sentence-Pair Modeling via Distilled Sentence Embedding PyTorch implementation for the Scalable Attentive Sentence-Pair Modeling vi
25 Dec 02, 2022
IndoNLI: A Natural Language Inference Dataset for Indonesian
IndoNLI: A Natural Language Inference Dataset for Indonesian This is a repository for data and code accompanying our EMNLP 2021 paper "IndoNLI: A Natu
15 Feb 10, 2022
CMP 414/765 course repository for Spring 2022 semester
CMP414/765: Artificial Intelligence Spring2021 This is the GitHub repository for course CMP 414/765: Artificial Intelligence taught at The City Univer
4 May 16, 2022
A little software to generate and save Julia or Mandelbrot's Fractals.
Julia-Mandelbrot-s-Fractals A little software to generate and save Julia or Mandelbrot's Fractals. Dependencies : Python 3.7 or more. (Also possible t
0 Jul 09, 2022
A PyTorch implementation for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation".
Dual-Contrastive-Learning A PyTorch implementation for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation". Y
85 Dec 26, 2022
《Rethinking Sptil Dimensions of Vision Trnsformers》(2021)
Rethinking Spatial Dimensions of Vision Transformers Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh | Paper NAVER
224 Dec 27, 2022
[ICCV'21] Neural Radiance Flow for 4D View Synthesis and Video Processing
NeRFlow [ICCV'21] Neural Radiance Flow for 4D View Synthesis and Video Processing Datasets The pouring dataset used for experiments can be download he
44 Dec 20, 2022
A DeepStack custom model for detecting common objects in dark/night images and videos.
DeepStack_ExDark This repository provides a custom DeepStack model that has been trained and can be used for creating a new object detection API for d
98 Dec 24, 2022
PyTorch implementation of Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network
hierarchical-multi-label-text-classification-pytorch Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach This
17 Dec 13, 2022
Official Pytorch implementation for 2021 ICCV paper "Learning Motion Priors for 4D Human Body Capture in 3D Scenes" and trained models / data
Learning Motion Priors for 4D Human Body Capture in 3D Scenes (LEMO) Official Pytorch implementation for 2021 ICCV (oral) paper "Learning Motion Prior
165 Dec 19, 2022
一个运行在 𝐞𝐥𝐞𝐜𝐕𝟐𝐏 或 𝐪𝐢𝐧𝐠𝐥𝐨𝐧𝐠 等定时面板的签到项目
定时面板上的签到盒 一个运行在 𝐞𝐥𝐞𝐜𝐕𝟐𝐏 或 𝐪𝐢𝐧𝐠𝐥𝐨𝐧𝐠 等定时面板的签到项目 𝐞𝐥𝐞𝐜𝐕𝟐𝐏 𝐪𝐢𝐧𝐠𝐥𝐨𝐧𝐠 特别声明 本仓库发布的脚本及其中涉及的任何解锁和解密分析脚本，仅用于测试和学习研究，禁止用于商业用途，不能保证其合
1.1k Dec 30, 2022
Pytorch and Keras Implementations of Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects.
The repository contains the implementations for Hyperspectral Image Classification -- Traditional to Deep Models: A Survey for Future Prospects. Model
115 Jan 06, 2023
SegNet-like Autoencoders in TensorFlow
SegNet SegNet is a TensorFlow implementation of the segmentation network proposed by Kendall et al., with cool features like strided deconvolution, a
66 Nov 05, 2021
Viewmaker Networks: Learning Views for Unsupervised Representation Learning
Viewmaker Networks: Learning Views for Unsupervised Representation Learning Alex Tamkin, Mike Wu, and Noah Goodman Paper link: https://arxiv.org/abs/2
31 Dec 01, 2022
Official PyTorch implementation of the paper: DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample
DeepSIM: Image Shape Manipulation from a Single Augmented Training Sample (ICCV 2021 Oral) Project | Paper Official PyTorch implementation of the pape
393 Dec 22, 2022
A self-supervised 3D representation learning framework named viewpoint bottleneck.
Pointly-supervised 3D Scene Parsing with Viewpoint Bottleneck Paper Created by Liyi Luo, Beiwen Tian, Hao Zhao and Guyue Zhou from Institute for AI In
63 Aug 11, 2022
Torch Implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Photo-Realistic-Super-Resoluton Torch Implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" [Paper]
199 Dec 01, 2022