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
PyTorch implementation of SampleRNN: An Unconditional End-to-End Neural Audio Generation Model

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Cookiecutter PyTorch Lightning

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AntiFuzz: Impeding Fuzzing Audits of Binary Executables

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M3DSSD: Monocular 3D Single Stage Object Detector

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(IEEE TIP 2021) Regularized Densely-connected Pyramid Network for Salient Instance Segmentation

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MARS: Learning Modality-Agnostic Representation for Scalable Cross-media Retrieva

Introduction This is the source code of our TCSVT 2021 paper "MARS: Learning Modality-Agnostic Representation for Scalable Cross-media Retrieval". Ple

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This repository contains the code for the paper ``Identifiable VAEs via Sparse Decoding''.

Sparse VAE This repository contains the code for the paper ``Identifiable VAEs via Sparse Decoding''. Data Sources The datasets used in this paper wer

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Code for "Primitive Representation Learning for Scene Text Recognition" (CVPR 2021)

Primitive Representation Learning Network (PREN) This repository contains the code for our paper accepted by CVPR 2021 Primitive Representation Learni

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Implementation of neural class expression synthesizers

NCES Implementation of neural class expression synthesizers (NCES) Installation Clone this repository: https://github.com/ConceptLengthLearner/NCES.gi

NeuralConceptSynthesis 0 Jan 06, 2022
Model search is a framework that implements AutoML algorithms for model architecture search at scale

Model search (MS) is a framework that implements AutoML algorithms for model architecture search at scale. It aims to help researchers speed up their exploration process for finding the right model a

Google 3.2k Dec 31, 2022
Transformers are Graph Neural Networks!

🚀 Gated Graph Transformers Gated Graph Transformers for graph-level property prediction, i.e. graph classification and regression. Associated article

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This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.

Introduction This is an official implementation of CvT: Introducing Convolutions to Vision Transformers. We present a new architecture, named Convolut

Microsoft 408 Dec 30, 2022
Neural Surface Maps

Neural Surface Maps Official implementation of Neural Surface Maps - Luca Morreale, Noam Aigerman, Vladimir Kim, Niloy J. Mitra [Paper] [Project Page]

Luca Morreale 49 Dec 13, 2022
This repository contains the source code of our work on designing efficient CNNs for computer vision

Efficient networks for Computer Vision This repo contains source code of our work on designing efficient networks for different computer vision tasks:

Sachin Mehta 386 Nov 26, 2022
Efficient electromagnetic solver based on rigorous coupled-wave analysis for 3D and 2D multi-layered structures with in-plane periodicity

Efficient electromagnetic solver based on rigorous coupled-wave analysis for 3D and 2D multi-layered structures with in-plane periodicity, such as gratings, photonic-crystal slabs, metasurfaces, surf

Alex Song 17 Dec 19, 2022
Versatile Generative Language Model

Versatile Generative Language Model This is the implementation of the paper: Exploring Versatile Generative Language Model Via Parameter-Efficient Tra

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PrimitiveNet: Primitive Instance Segmentation with Local Primitive Embedding under Adversarial Metric (ICCV 2021)

PrimitiveNet Source code for the paper: Jingwei Huang, Yanfeng Zhang, Mingwei Sun. [PrimitiveNet: Primitive Instance Segmentation with Local Primitive

Jingwei Huang 47 Dec 06, 2022