Amazing-Python-Scripts - πŸš€ Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.

Overview

Amazing-Python-Scripts

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GitHub issues GitHub issues closed GitHub pull requests GitHub pull requests GitHub repo size Lines of Code

πŸ“‘ Introduction

A curated collection of Amazing Python scripts from Basics to Advance with automation task scripts. This is your Personal space to find or add any new script that can make Life Easier for you, as a Developer, and find a utility of coding to burst out of boredom. Get started with coding exhilarating scripts that you can use to download PDFs from an Online Source or just to randomly like everyone's Instagram Post.

πŸ“ƒ Scripts Available

πŸ‘¨πŸ»β€πŸ’» How to get started?

You can refer to the following articles on basics of Git and Github and also contact the Project Mentors, in case you are stuck:

πŸ“ How to Contribute?

  • Take a look at Contributing Guide
  • Take a look at the Existing Issues or create your own Issues!
  • Wait for the Issue to be assigned to you after which you can start working on it.
  • Fork the Repo and create a Branch for any Issue that you are working upon.
  • Create a Pull Request which will be promptly reviewed and suggestions would be added to improve it.
  • Add Screenshots to help us know what this Script is all about.

✨ Contributors

Thanks go to these Wonderful People πŸ‘¨πŸ»β€πŸ’»: πŸš€ Contributions of any kind are welcome!

🌟 Stargazers Over Time 🌟

Stargazers over time

Project Maintainers ❀️


Avinash Ranjan


Kaustubh Gupta


Antriksh Misri


Santushti Sharma


Kushal Das

Happy Coding πŸ‘¨β€πŸ’»

Owner
Avinash Ranjan
VP Tech @one24store β€’ GDSC Lead @dscciem β€’ Volunteer @TheOpenCode β€’ MERN Stack & Flutter Developer | DevOps and Tech Blogging
Avinash Ranjan
Pytorch implementation code for [Neural Architecture Search for Spiking Neural Networks]

Neural Architecture Search for Spiking Neural Networks Pytorch implementation code for [Neural Architecture Search for Spiking Neural Networks] (https

Intelligent Computing Lab at Yale University 28 Nov 18, 2022
CUda Matrix Multiply library.

cumm CUda Matrix Multiply library. cumm is developed during learning of CUTLASS, which use too much c++ template and make code unmaintainable. So I de

49 Dec 27, 2022
In this project I played with mlflow, streamlit and fastapi to create a training and prediction app on digits

Fastapi + MLflow + streamlit Setup env. I hope I covered all. pip install -r requirements.txt Start app Go in the root dir and run these Streamlit str

76 Nov 23, 2022
Official code release for: EditGAN: High-Precision Semantic Image Editing

Official code release for: EditGAN: High-Precision Semantic Image Editing

565 Jan 05, 2023
A light weight data augmentation tool for training CNNs and Viola Jones detectors

hey-daug A light weight data augmentation tool for training CNNs and Viola Jones detectors (Haar Cascades). This tool inflates your data by up to six

Jaiyam Sharma 2 Nov 23, 2019
Video Frame Interpolation without Temporal Priors (a general method for blurry video interpolation)

Video Frame Interpolation without Temporal Priors (NeurIPS2020) [Paper] [video] How to run Prerequisites NVIDIA GPU + CUDA 9.0 + CuDNN 7.6.5 Pytorch 1

YoujianZhang 31 Sep 04, 2022
Implementation for Homogeneous Unbalanced Regularized Optimal Transport

HUROT: An Homogeneous formulation of Unbalanced Regularized Optimal Transport. This repository provides code related to this preprint. This is an alph

ThΓ©o Lacombe 1 Feb 17, 2022
A library for optimization on Riemannian manifolds

TensorFlow RiemOpt A library for manifold-constrained optimization in TensorFlow. Installation To install the latest development version from GitHub:

Oleg Smirnov 83 Dec 27, 2022
Code for the paper "TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks"

TadGAN: Time Series Anomaly Detection Using Generative Adversarial Networks This is a Python3 / Pytorch implementation of TadGAN paper. The associated

Arun 92 Dec 03, 2022
code for paper -- "Seamless Satellite-image Synthesis"

Seamless Satellite-image Synthesis by Jialin Zhu and Tom Kelly. Project site. The code of our models borrows heavily from the BicycleGAN repository an

Light 14 Apr 05, 2022
Dataset VSD4K includes 6 popular categories: game, sport, dance, vlog, interview and city.

CaFM-pytorch ICCV ACCEPT Introduction of dataset VSD4K Our dataset VSD4K includes 6 popular categories: game, sport, dance, vlog, interview and city.

96 Jul 05, 2022
An implementation of an abstract algebra for music tones (pitches).

nbdev template Use this template to more easily create your nbdev project. If you are using an older version of this template, and want to upgrade to

Open Music Kit 0 Oct 10, 2022
Large-scale language modeling tutorials with PyTorch

Large-scale language modeling tutorials with PyTorch μ•ˆλ…•ν•˜μ„Έμš”. μ €λŠ” TUNiBμ—μ„œ λ¨Έμ‹ λŸ¬λ‹ μ—”μ§€λ‹ˆμ–΄λ‘œ 근무 쀑인 κ³ ν˜„μ›…μž…λ‹ˆλ‹€. 이 μžλ£ŒλŠ” λŒ€κ·œλͺ¨ μ–Έμ–΄λͺ¨λΈ κ°œλ°œμ— ν•„μš”ν•œ μ—¬λŸ¬κ°€μ§€ κΈ°μˆ λ“€μ„ μ†Œκ°œλ“œλ¦¬κΈ° μœ„ν•΄ λ§ˆλ ¨ν•˜μ˜€μœΌλ©° 기본적으둜

TUNiB 172 Dec 29, 2022
EigenGAN Tensorflow, EigenGAN: Layer-Wise Eigen-Learning for GANs

Gender Bangs Body Side Pose (Yaw) Lighting Smile Face Shape Lipstick Color Painting Style Pose (Yaw) Pose (Pitch) Zoom & Rotate Flush & Eye Color Mout

Zhenliang He 321 Dec 01, 2022
Pixel-level Crack Detection From Images Of Levee Systems : A Comparative Study

PIXEL-LEVEL CRACK DETECTION FROM IMAGES OF LEVEE SYSTEMS : A COMPARATIVE STUDY G

Manisha Panta 2 Jul 23, 2022
Codeflare - Scale complex AI/ML pipelines anywhere

Scale complex AI/ML pipelines anywhere CodeFlare is a framework to simplify the integration, scaling and acceleration of complex multi-step analytics

CodeFlare 169 Nov 29, 2022
Deep Learning applied to Integral data analysis

DeepIntegralCompton Deep Learning applied to Integral data analysis Module installation Move to the root directory of the project and execute : pip in

Thomas Vuillaume 1 Dec 10, 2021
A criticism of a recent paper on buggy image downsampling methods in popular image processing and deep learning libraries.

A criticism of a recent paper on buggy image downsampling methods in popular image processing and deep learning libraries.

70 Jul 12, 2022
KUIELAB-MDX-Net got the 2nd place on the Leaderboard A and the 3rd place on the Leaderboard B in the MDX-Challenge ISMIR 2021

KUIELAB-MDX-Net got the 2nd place on the Leaderboard A and the 3rd place on the Leaderboard B in the MDX-Challenge ISMIR 2021

IELab@ Korea University 74 Dec 28, 2022