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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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
Official PyTorch implementation of N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras (ICCV 2021)

N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras Official PyTorch implementation of N-ImageNet: Towards Robust, Fine-Gra

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VideoGPT: Video Generation using VQ-VAE and Transformers

VideoGPT: Video Generation using VQ-VAE and Transformers [Paper][Website][Colab][Gradio Demo] We present VideoGPT: a conceptually simple architecture

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code for our BMVC 2021 paper "HCV: Hierarchy-Consistency Verification for Incremental Implicitly-Refined Classification"

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WRENCH: Weak supeRvision bENCHmark

πŸ”§ What is it? Wrench is a benchmark platform containing diverse weak supervision tasks. It also provides a common and easy framework for development

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Target Propagation via Regularized Inversion

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Machine learning library for fast and efficient Gaussian mixture models

This repository contains code which implements the Stochastic Gaussian Mixture Model (S-GMM) for event-based datasets Dependencies CMake Premake4 Blaz

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The implementation of the lifelong infinite mixture model

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Collection of sports betting AI tools.

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This project uses ViT to perform image classification tasks on DATA set CIFAR10.

Vision-Transformer-Multiprocess-DistributedDataParallel-Apex Introduction This project uses ViT to perform image classification tasks on DATA set CIFA

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A framework that constructs deep neural networks, autoencoders, logistic regressors, and linear networks

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This repository contains the official implementation code of the paper Transformer-based Feature Reconstruction Network for Robust Multimodal Sentiment Analysis

This repository contains the official implementation code of the paper Transformer-based Feature Reconstruction Network for Robust Multimodal Sentiment Analysis, accepted at ACMMM 2021.

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Bridging the Gap between Label- and Reference based Synthesis(ICCV 2021)

Bridging the Gap between Label- and Reference based Synthesis(ICCV 2021) Tensorflow implementation of Bridging the Gap between Label- and Reference-ba

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RoMa: A lightweight library to deal with 3D rotations in PyTorch.

RoMa: A lightweight library to deal with 3D rotations in PyTorch. RoMa (which stands for Rotation Manipulation) provides differentiable mappings betwe

NAVER 90 Dec 27, 2022
Awesome Graph Classification - A collection of important graph embedding, classification and representation learning papers with implementations.

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Easy-to-use micro-wrappers for Gym and PettingZoo based RL Environments

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Progressive Growing of GANs for Improved Quality, Stability, and Variation

Progressive Growing of GANs for Improved Quality, Stability, and Variation β€” Official TensorFlow implementation of the ICLR 2018 paper Tero Karras (NV

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A framework for attentive explainable deep learning on tabular data

🧠 kendrite A framework for attentive explainable deep learning on tabular data πŸ’¨ Quick start kedro run 🧱 Built upon Technology Description Links ke

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Everything you want about DP-Based Federated Learning, including Papers and Code. (Mechanism: Laplace or Gaussian, Dataset: femnist, shakespeare, mnist, cifar-10 and fashion-mnist. )

Differential Privacy (DP) Based Federated Learning (FL) Everything about DP-based FL you need is here. οΌˆζ‰€ζœ‰δ½ ιœ€θ¦ηš„DP-based FLηš„δΏ‘ζ―ιƒ½εœ¨θΏ™ι‡ŒοΌ‰ Code Tip: the code o

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Final project for machine learning (CSC 590). Detection of hepatitis C and progression through blood samples.

Hepatitis C Blood Based Detection Final project for machine learning (CSC 590). Dataset from Kaggle. Using data from previous hepatitis C blood panels

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codes for "Scheduled Sampling Based on Decoding Steps for Neural Machine Translation" (long paper of EMNLP-2022)

Scheduled Sampling Based on Decoding Steps for Neural Machine Translation (EMNLP-2021 main conference) Contents Overview Background Quick to Use Furth

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