Starter

A low dependency and really simple to start project template for Python Projects

A low dependency and really simple to start project template for Python Projects. HOW TO USE THIS TEMPLATE DO NOT FORK this is meant to be used from Use this template feature. Click on Use this template Give a name to your project(e.g. my_awesome_project recommendation is to use all lowercase and underscores separation for repo names.) Wait until the first run of CI finishes(Github Actions will process the template and commit to your new repo) If you want codecov Reports […]

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Desktop

A refresher for PowerBI Desktop documents

pip install PowerBI_refresher-NPP usage: refresh.cpython-39.pyc [-h] [–init-wait NUM_SEC] [–refresh-wait NUM_SEC] [-f RUTA] [-q] [-v] Serveix per actualitzar dashboard de PowerBI desktop localment. optional arguments: -h, –help show this help message and exit –init-wait NUM_SEC temps d’espera d’obertura    

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PyTorch

Unofficial PyTorch implementation of Guided Dropout

This is a simple implementation of Guided Dropout for research.We try to reproduce the algorithm according to the paper published in AAA-19, but we can’t guarantee the performance reported in the paper.We will list some experiment results soon. TODO Release the reproduced code list experiment results … Setup pip install -r requirements.txt Run Run Guided Dropout on CIFAR10 Dataset (mlp 3 hidden layers with 1024 nodes) python mainpro.py –dataset CIFAR10 –arc mlp –mlp-depth 3 –hidden-dim 1024 -e    

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Detection

2021 Competition for Scene-Text-Detection-and-Recognition

The models Our model comprises two parts: scene text detection and scene text recognition. the descriptions of these two models are as follow: Scene Text Detection We employ YoloV5 [1] to detect the ROI (Region Of Interest) from an image and Resnet50 [2] to implement the ROI transformation algorithm. This algorithm transforms the coordinates detected by YoloV5 to the proper location, which fits the text well. YoloV5 can detect all ROIs that might be strings while ROI transformation can make […]

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PyTorch

Pytorch based library to rank predicted bounding boxes using text/image user’s prompts

Pytorch based library to rank predicted bounding boxes using text/image user’s prompts. Usually, object detection models trains to detect common classes of objects such as “car”, “person”, “cup”, “bottle”. But sometimes we need to detect more complex classes such as “lady in the red dress”, “bottle of whiskey”, or “where is my red cup” instead of “person”, “bottle”, “cup” respectively. One way to solve this problem is to train more complex detectors that can detect more complex classes, but we […]

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Flask

Flask API for handling bookmarks

REST API built using flask framework that used for managing bookmarks by individual users. This app is built using flask framework that helps this api can be cosumed both on andriod or web applications. API Endpoints POST user registration bookmarks posting GET user login refresh token bookmarks bookmark/{id} bookmark/stats bookmark/short_url PUT / PATCH bookmark/{id} DELETE bookmark/{id} Test Live API API have been configured and deployed using Heroku. Test Live version by clicking here. Documentation Every Aspect of using this API […]

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Natural Language Processing, NLP, Python

The NLP Cypher | 12.26.21

Merry Christmas 🎄 for those celebrating. And Happy New Year! Even OpenAI is feeling the holiday spirit: they open sourced their photorealistic GLIDE model several days ago. Includes three notebooks: The text2im notebook shows how to use GLIDE (filtered) with classifier-free guidance to produce images conditioned on text prompts. The inpaint notebook shows how to use GLIDE (filtered) to fill in a masked region of an image, conditioned on a text prompt. The clip_guided notebook shows how to use GLIDE […]

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