Json

A Python Based Utility for Processing GST-Return JSON Files to Multiple Formats

GSTR 1/2A Utility A Python Based Utility for Processing GST-Return JSON Files to Multiple Formats by Shan.tk Open Source GSTR 1/GSTR 2A JSON to Excel utility based on Python. Useful for Auditors in Verifying GSTR 1 Return Invoices with Ledgers Screenshots Currently Working Methods for Both GSTR 1/2A B2B Invoices B2B Credit Notes Exports B2C Sales B2B Amended Invoices To be Done B2C Amended Invoices HSN Summary If You are Interested in this Project. Pull Requests are Welcomed if it […]

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Server

A minecraft bedrock server software written in python

Podrum Is a Minecraft Bedrock Edition server software written in Python. It’s still under active development, but yet it has few advantages: Easy to use, Written in Python which makes plugins easier to write Features: [ ] World Generation [x] Networking [x] Commands [x] MOTD [x] Joinable (1.16.220) [ ] Mobs Running: Linux and MacOS (Unix systems): pip3 install -r ./requirements.txt python3 podrum Or you can use Powershell. Windows: pip install -r ./requirements.txt python podrum GitHub https://github.com/Podrum/Podrum    

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Face recognition

A real-time,high accuracy face detection

Yolov5-face Yolov5-face is a real-time,high accuracy face detection. Performance Single Scale Inference on VGA resolution（max side is equal to 640 and scale). Large family Method Backbone Easy Medium Hard #Params(M) #Flops(G) DSFD (CVPR19) ResNet152 94.29 91.47 71.39 120.06 259.55 RetinaFace (CVPR20) ResNet50 94.92 91.90 64.17 29.50 37.59 HAMBox (CVPR20) ResNet50 95.27 93.76 76.75 30.24 43.28 TinaFace (Arxiv20) ResNet50 95.61 94.25 81.43 37.98 172.95 SCRFD-34GF(Arxiv21) Bottleneck Res 96.06 94.92 85.29 9.80 34.13 SCRFD-10GF(Arxiv21) Basic Res 95.16 93.87 83.05 3.86 9.98 – […]

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Machine Learning

Pytorch implementation of Generative Models as Distributions of Functions

Generative Models as Distributions of Functions This repo contains code to reproduce all experiments in Generative Models as Distributions of Functions. Requirements Requirements for training the models can be installed using pip install -r requirements.txt. All experiments were run using python 3.8.10. Training a model To train a model on CelebAHQ64, run python main.py configs/config_celebahq64.json Example configs to reproduce the results in the paper are provided in the configs folder. Note that you will have to provide a path to […]

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Natural Language Processing

A framework for highlighting and correcting grammatical errors on natural language text

Gramformer Human and machine generated text often suffer from grammatical and/or typographical errors. It can be spelling, punctuation, grammatical or word choice errors. Gramformer is a library that exposes 3 seperate interfaces to a family of algorithms to detect, highlight and correct grammar errors. To make sure the corrections and highlights recommended are of high quality, it comes with a quality estimator. You can use Gramformer in one or more areas mentioned under the “use-cases” section below or any other […]

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Images

Simultaneous localisation and categorization of objects in medical images

nnDetection Simultaneous localisation and categorization of objects in medical images, also referred to as medical object detection, is of high clinical relevance because diagnostic decisions depend on rating of objects rather than e.g. pixels. For this task, the cumbersome and iterative process of method configuration constitutes a major research bottleneck. Recently, nnU-Net has tackled this challenge for the task of image segmentation with great success. Following nnU-Net’s agenda, in this work we systematize and automate the configuration process for medical […]

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Automation

The toolkit to autolabal dataset for instance segmentation

Ozeu Ozeu is the toolkit to autolabal dataset for instance segmentation. You can generate datasets labaled with segmentation mask and bounding box from the recorded video files. Installation Requirements Example installation command for cuda11.1. pip install torch==1.8.1+cu111 torchvision==0.9.1+cu111 torchaudio==0.8.1 -f https://download.pytorch.org/whl/torch_stable.html pip install mmcv-full==1.3.5 -f https://download.openmmlab.com/mmcv/dist/cu102/torch1.8.0/index.html pip install git+https://github.com/open-mmlab/[email protected] git clone [email protected]:xiong-jie-y/ozeu.git cd ozeu pip install -e . Usage 1. Record Video I recommend record video with the camera where you want to run detector.For webcam, you can use command […]

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Tool

Make Gaussian 09 input files for the Rotamers of a given compound

Rotapy Make Gaussian 09 input files for the Rotamers of a given compound. Purpose Generate Gaussian 09 input files for the rotamers of an input compound. Distance to the axis of rotation remains constant throughout the rotation. Usage This methyl group will be used as the example. Our goal is to make 6 rotomers with the Hydrogens shifted by 60 degreesfrom each other. 1a. If running the python directly, place the .log files you wish to ‘rotamate’ into the root […]

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Deep Learning

A TikTok-like recommender system for GitHub repositories based on Gorse

GitRec GitRec is the missing recommender system for GitHub repositories based on Gorse. Architecture The trending crawler crawls trending repositories and insert them into Gorse as new items. The user starred crawler crawls user starred repositories and insert them into Gorse as new fewdback. GitRec web service pulls recommendations from Gorse and show to users. It also submits a crawling request to the user starred crawler when a new user signed in. Quick Start First, clone the repository and enter […]

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Games

A clearer, shorter and cleaner PyGame codebases

hooman ~ pygame for humans pip install hooman join discord: https://discord.gg/Q23ATve The package for clearer, shorter and cleaner PyGame codebases! Fun fact: Codementor.io tweeted about Hooman tagged #LearnPython #100DaysOfCode See a snake game taken from edureka: import pygame import time import random pygame.init() white = (255, 255, 255) yellow = (255, 255, 102) black = (0, 0, 0) red = (213, 50, 80) green = (0, 255, 0) blue = (50, 153, 213) dis_width = 600 dis_height = 400 dis […]

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