This is a beginner-friendly repo to make a collection of some unique and awesome projects. Everyone in the community can benefit & get inspired by the amazing projects present over here.

Overview

Awesome-Projects-Collection

Quality over Quantity :)

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What to do?

  1. Add some unique and amazing projects as per your favourite tech stack for the community to get benifitted. Add your projects under the respective tech stack folder only

  2. It can be any of any length and can be any number of scripts, just add a folder with your projects name.

  3. There is no need to raise an issue to add your project, you can directly raise a PR.

  4. While raising a PR, make sure to fill the description and checklist as per the description template following your project's specification & delete all the irrelevant checkboxes.

Update:

To resolve all the merge conflicts:

  1. Do not add your names in the contributor's list, we will do that on our own.

  2. Make sure to add a readme.md file with your project's description inside your project's folder. From now onwards, no need to add the project description in project_doc.md file, instead so as mentioned above.

What's next?

If there are some conflicts, just fetch upstream to update your remote repo and then raise PR.

Maintainer

Our hardworking Collaborators/Pull Request Reviewers

Our valuable Contributors

-[Your name](your-github_url or linkedlin-url) : Don't edit this template

All the best for Hacktoberfest :)

Owner
Rohan Sharma
Beta MLSA || Postman Student Expert || 5 star @ HackerRank || Java Developer || Open Source Enthusiast DTU'24
Rohan Sharma
MetaBalance: High-Performance Neural Networks for Class-Imbalanced Data

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[ACL-IJCNLP 2021] Improving Named Entity Recognition by External Context Retrieving and Cooperative Learning

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Simple tutorials using Google's TensorFlow Framework

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Code of Classification Saliency-Based Rule for Visible and Infrared Image Fusion

CSF Code of Classification Saliency-Based Rule for Visible and Infrared Image Fusion Tips: For testing: CUDA_VISIBLE_DEVICES=0 python main.py For trai

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Training deep models using anime, illustration images.

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Keras documentation, hosted live at keras.io

Keras.io documentation generator This repository hosts the code used to generate the keras.io website. Generating a local copy of the website pip inst

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Cave Generation using metaballs in Blender. Originally created by sdfgeoff, Edited by Myself (Archie Jaskowicz).

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