Author: Deep Learner
FOREC: A Cross-Market Recommendation System
This repository provides the implementation of our CIKM 2021 paper titled as “Cross-Market Product Recommendation“. Please consider citing our paper if you find the code and XMarket dataset useful in your research. The general schema of our FOREC recommendation system is shown below. For a pair of markets, the middle part shows the market-agnostic model that we pre-train, and then fork and fine-tune for each market shown in the left and right. Note that FOREC is capable of working with […]
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Hide sensitive information in images
Script allowing to blur the most sensitive information on images. Prerequisites Before you begin, ensure you have met the following requirements: You have installed the latest version of Tesseract : Python >= 3.6 Installing Data-Preserved To install data-preserved, follow these steps: pip3 install -r requirements.txt Using Data-Preserved To use data-preserved, follow these steps:
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A discord http interactions framework built on top of Sanic
An async discord http interactions framework built on top of Sanic Installing for now just install the package through pip via github # Unix based pip3 install git+https://github.com/kajdev/snowfin # Windows py -m pip install git+https://github.com/kajdev/snowfin Example Simple slash command import snowfin from snowfin.response import MessageResponse bot = snowfin.Client(‘public_key’) @snowfin.SlashCommand(name
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A Simple Long-Tailed Rocognition Baseline via Vision-Language Model
This is the official code repository for A Simple Long-Tailed Rocognition Baseline via Vision-Language Model. Requirements Python3 Pytorch(1.7.1 recommended) yaml other necessary packages Datasets ImageNet_LT Places_LT Download the ImageNet_2014 and Places_365. Modify the data_root in main.py to refer to your own dataset path. Training Phase A python main.py –cfg ./config/ImageNet_LT/clip_A_rn50.yaml Phase B python main.py –cfg ./config/ImageNet_LT/clip_B_rn50.yaml Testing
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Indonesian ID Card OCR using tesseract OCR
Indonesian ID Card OCR using tesseract OCR KTP OCR is python-flask with tesseract web application to convert Indonesian ID Card to text / JSON Data convert KTP to JSON text preprocessing for enhance the quality of result (in progres) Installation (UBUNTU) KTP OCR needs Python 3+ and tesseract OCR. Currently i’m using Ubuntu 20.0 and its running normaly. To install tesseract OCR Click here Clone GIT Repository git clone https://github.com/revanmd/KTP-OCR.git Go root directory of this project Optionally to use Virtual […]
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A extract & decryption and pack & encryption tools for typora
A extract & decryption and pack & encryption tools for typora. 中文说明请戳这里 WARNING NOTE: typoraCracker doesn’t provide support for crack. FOR STUDY AND DISCUSSION ONLY, PLEASE DO NOT ENGAGE IN ANY ILLEGAL ACTS. ANY PROBLEMS ARISING FROM THIS WILL BE BORNE BY THE USER (YOU). Features Supports Version 1.0.0+ (At least for now.) Supports ALL OS supported by typora Usage pip install -r
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The premiere CLI jockey replacement full stack web/app/database network automation application
Network Engineer’s Unified Realtime Automation Library © NEURAL Page (Overview, features, extensibility, etc.) https://www.automate-the-network.com/neural NEURAL is the premiere CLI jockey replacement full stack web/app/database network automation application, providing a “no-code” web app for network engineers developed by a network engineer! It’s built using the Django Web framework I’ll be updating this README in the future with more info, but for now, here’s the intial setup instructions, after you’ve got your Server running, e.g. after you’veimported the OVA into VM Workstation […]
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Pytorch Pedestrian Attribute Recognition: A strong PyTorch baseline for pedestrian attribute recognition and multi-label classification
Rethinking of Pedestrian Attribute Recognition: A Reliable Evaluation under Zero-Shot Pedestrian Identity Setting (official Pytorch implementation) This paper submitted to TIP is the extension of the previous Arxiv paper. This project aims to provide a strong baseline for Pedestrian Attribute Recognition and Multi-Label Classification. provide two new datasets RAPzs and PETAzs following zero-shot pedestrian identity setting. provide a general training pipeline for pedestrian attribute recognition and multi-label classification task. This project provide DDP training, which is mainly used for multi-label […]
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SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches
The code only has been tested on Ubuntu 20.04. GPU is required. git clone –single-branch https://github.com/zengxianyu/sketchedit git submodule init git submodule update conda env create -f environment.yml chmod +x download/* ./download/download_model.sh Training code and data will be released after the paper is published.
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