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

Overview

Amazing-Python-Scripts

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📑 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.

📃 Scripts Available

👨🏻‍💻 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:

📝 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 👨🏻‍💻: 🚀 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 👨‍💻

Owner
Avinash Ranjan
VP Tech @one24store • GDSC Lead @dscciem • Volunteer @TheOpenCode • MERN Stack & Flutter Developer | DevOps and Tech Blogging
Avinash Ranjan
PyContinual (An Easy and Extendible Framework for Continual Learning)

PyContinual (An Easy and Extendible Framework for Continual Learning) Easy to Use You can sumply change the baseline, backbone and task, and then read

176 Jan 05, 2023
Semantic Segmentation in Pytorch. Network include: FCN、FCN_ResNet、SegNet、UNet、BiSeNet、BiSeNetV2、PSPNet、DeepLabv3_plus、 HRNet、DDRNet

🚀 If it helps you, click a star! ⭐ Update log 2020.12.10 Project structure adjustment, the previous code has been deleted, the adjustment will be re-

Deeachain 269 Jan 04, 2023
9th place solution

AllDataAreExt-Galixir-Kaggle-HPA-2021-Solution Team Members Qishen Ha is Master of Engineering from the University of Tokyo. Machine Learning Engineer

daishu 5 Nov 18, 2021
MetaTTE: a Meta-Learning Based Travel Time Estimation Model for Multi-city Scenarios

MetaTTE: a Meta-Learning Based Travel Time Estimation Model for Multi-city Scenarios This is the official TensorFlow implementation of MetaTTE in the

morningstarwang 4 Dec 14, 2022
Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation

DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation [Arxiv] [Paper] As acquiring pixel-wise an

Lukas Hoyer 305 Dec 29, 2022
UI2I via StyleGAN2 - Unsupervised image-to-image translation method via pre-trained StyleGAN2 network

We proposed an unsupervised image-to-image translation method via pre-trained StyleGAN2 network. paper: Unsupervised Image-to-Image Translation via Pr

208 Dec 30, 2022
A Japanese Medical Information Extraction Toolkit

JaMIE: a Japanese Medical Information Extraction toolkit Joint Japanese Medical Problem, Modality and Relation Recognition The Train/Test phrases requ

7 Dec 12, 2022
Quick program made to generate alpha and delta tables for Hidden Markov Models

HMM_Calc Functions for generating Alpha and Delta tables from a Hidden Markov Model. Parameters: a: Matrix of transition probabilities. a[i][j] = a_{i

Adem Odza 1 Dec 04, 2021
Semiconductor Machine learning project

Wafer Fault Detection Problem Statement: Wafer (In electronics), also called a slice or substrate, is a thin slice of semiconductor, such as a crystal

kunal suryawanshi 1 Jan 15, 2022
(Preprint) Official PyTorch implementation of "How Do Vision Transformers Work?"

(Preprint) Official PyTorch implementation of "How Do Vision Transformers Work?"

xxxnell 656 Dec 30, 2022
PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud, CVPR 2019.

PointRCNN PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud Code release for the paper PointRCNN:3D Object Proposal Generation a

Shaoshuai Shi 1.5k Dec 27, 2022
FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data

FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well i

0 Sep 06, 2022
Deep learned, hardware-accelerated 3D object pose estimation

Isaac ROS Pose Estimation Overview This repository provides NVIDIA GPU-accelerated packages for 3D object pose estimation. Using a deep learned pose e

NVIDIA Isaac ROS 41 Dec 18, 2022
Reverse engineer your pytorch vision models, in style

🔍 Rover Reverse engineer your CNNs, in style Rover will help you break down your CNN and visualize the features from within the model. No need to wri

Mayukh Deb 32 Sep 24, 2022
A DeepStack custom model for detecting common objects in dark/night images and videos.

DeepStack_ExDark This repository provides a custom DeepStack model that has been trained and can be used for creating a new object detection API for d

MOSES OLAFENWA 98 Dec 24, 2022
Hierarchical User Intent Graph Network for Multimedia Recommendation

Hierarchical User Intent Graph Network for Multimedia Recommendation This is our Pytorch implementation for the paper: Hierarchical User Intent Graph

6 Jan 05, 2023
A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking

PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking PoseRBPF Paper Self-supervision Paper Pose Estimation Video Robot Manipulati

NVIDIA Research Projects 107 Dec 25, 2022
Repo for the paper "DiLBERT: Cheap Embeddings for Disease Related Medical NLP"

DiLBERT Repo for the paper "DiLBERT: Cheap Embeddings for Disease Related Medical NLP" Pretrained Model The pretrained model presented in the paper is

Kevin Roitero 2 Dec 15, 2022
PyTorch implementation of spectral graph ConvNets, NIPS’16

Graph ConvNets in PyTorch October 15, 2017 Xavier Bresson http://www.ntu.edu.sg/home/xbresson https://github.com/xbresson https://twitter.com/xbresson

Xavier Bresson 287 Jan 04, 2023
Self-training with Weak Supervision (NAACL 2021)

This repo holds the code for our weak supervision framework, ASTRA, described in our NAACL 2021 paper: "Self-Training with Weak Supervision"

Microsoft 148 Nov 20, 2022