Rhythm-Finder is a unsupervised ML driven python powered web-application that can find the songs that suits you.

Overview

Logo

Project Name

An awesome README template to jumpstart your projects!
Explore the docs »

View Demo · Report Bug · Request Feature

Table of Contents
  1. About The Project
  2. Getting Started
  3. Usage
  4. Roadmap
  5. Contributing
  6. License
  7. Contact

About The Project

![Product Name Screen Shot][product-screenshot]

Rhythm-Finder is a unsupervised ML driven python powered web-application that can find the songs that suits you. It takes your basic data over music taste and gives you some song which you might like .

Built With

This section should list any major frameworks that you built your project using. Leave any add-ons/plugins for the acknowledgements section. Here are a few examples.

Getting Started

This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.

Prerequisites

This is an example of how to list things you need to use the software and how to install them.

Installation

  1. Clone the repo
    git clone https://github.com/gdscjgec/Rhythm-Finder.git
  2. Install dependencies
    cd Rhythm-Finder
    pip install requirements.txt
    
  3. Open terminal and go to the folder using cd command example : cd
  4. Run the command
    streamlit run app.py
    

Usage

Use this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.

For more examples, please refer to the Documentation

Roadmap

See the open issues for a list of proposed features (and known issues).

Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

  1. Fork the Project
  2. Create your Feature Branch ( git checkout -b feature/AmazingFeature )
  3. Add your Changes ( git add . )
  4. Commit your Changes ( git commit -m 'Add some AmazingFeature' )
  5. Push to the Branch ( git push origin feature/AmazingFeature )
  6. Open a Pull Request

License

Distributed under the MIT License. See LICENSE for more information.

Contact

Mail us at - [email protected]

Owner
Google Developer Student Clubs - JGEC
Official GitHub organization for the Google Developer Student Clubs - JGEC
Google Developer Student Clubs - JGEC
Fixes mojibake and other glitches in Unicode text, after the fact.

ftfy: fixes text for you print(fix_encoding("(ง'⌣')ง")) (ง'⌣')ง Full documentation: https://ftfy.readthedocs.org Testimonials “My life is li

Luminoso Technologies, Inc. 3.4k Dec 29, 2022
jiant is an NLP toolkit

🚨 Update 🚨 : As of 2021/10/17, the jiant project is no longer being actively maintained. This means there will be no plans to add new models, tasks,

ML² AT CILVR 1.5k Dec 28, 2022
Python powered crossword generator with database with 20k+ polish words

crossword_generator Generate simple crossword puzzle from words and definitions fetched from krzyżowki.edu.pl endpoints -/ string:word - returns js

0 Jan 04, 2022
NLTK Source

Natural Language Toolkit (NLTK) NLTK -- the Natural Language Toolkit -- is a suite of open source Python modules, data sets, and tutorials supporting

Natural Language Toolkit 11.4k Jan 04, 2023
Test finetuning of XLSR (multilingual wav2vec 2.0) for other speech classification tasks

wav2vec_finetune Test finetuning of XLSR (multilingual wav2vec 2.0) for other speech classification tasks Initial test: gender recognition on this dat

8 Aug 11, 2022
Trex is a tool to match semantically similar functions based on transfer learning.

Trex is a tool to match semantically similar functions based on transfer learning.

62 Dec 28, 2022
CoSENT、STS、SentenceBERT

CoSENT_Pytorch 比Sentence-BERT更有效的句向量方案

102 Dec 07, 2022
An implementation of model parallel GPT-2 and GPT-3-style models using the mesh-tensorflow library.

GPT Neo 🎉 1T or bust my dudes 🎉 An implementation of model & data parallel GPT3-like models using the mesh-tensorflow library. If you're just here t

EleutherAI 6.7k Dec 28, 2022
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

ALBERT ***************New March 28, 2020 *************** Add a colab tutorial to run fine-tuning for GLUE datasets. ***************New January 7, 2020

Google Research 3k Dec 26, 2022
Python-zhuyin - An open source Python library that provides a unified interface for converting between Chinese pinyin and Zhuyin (bopomofo)

Python-zhuyin - An open source Python library that provides a unified interface for converting between Chinese pinyin and Zhuyin (bopomofo)

2 Dec 29, 2022
CodeBERT: A Pre-Trained Model for Programming and Natural Languages.

CodeBERT This repo provides the code for reproducing the experiments in CodeBERT: A Pre-Trained Model for Programming and Natural Languages. CodeBERT

Microsoft 1k Jan 03, 2023
Lumped-element impedance calculator and frequency-domain plotter.

fastZ: Lumped-Element Impedance Calculator fastZ is a small tool for calculating and visualizing electrical impedance in Python. Features include: Sup

Wesley Hileman 47 Nov 18, 2022
Kerberoast with ACL abuse capabilities

targetedKerberoast targetedKerberoast is a Python script that can, like many others (e.g. GetUserSPNs.py), print "kerberoast" hashes for user accounts

Shutdown 213 Dec 22, 2022
Practical Machine Learning with Python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

Dipanjan (DJ) Sarkar 2k Jan 08, 2023
Labelling platform for text using distant supervision

With DataQA, you can label unstructured text documents using rule-based distant supervision.

245 Aug 05, 2022
✨Rubrix is a production-ready Python framework for exploring, annotating, and managing data in NLP projects.

✨A Python framework to explore, label, and monitor data for NLP projects

Recognai 1.5k Jan 02, 2023
Transformers and related deep network architectures are summarized and implemented here.

Transformers: from NLP to CV This is a practical introduction to Transformers from Natural Language Processing (NLP) to Computer Vision (CV) Introduct

Ibrahim Sobh 138 Dec 27, 2022
Pipeline for fast building text classification TF-IDF + LogReg baselines.

Text Classification Baseline Pipeline for fast building text classification TF-IDF + LogReg baselines. Usage Instead of writing custom code for specif

Dani El-Ayyass 57 Dec 07, 2022
A number of methods in order to perform Natural Language Processing on live data derived from Twitter

A number of methods in order to perform Natural Language Processing on live data derived from Twitter

1 Nov 24, 2021
Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

Implementation / replication of DALL-E, OpenAI's Text to Image Transformer, in Pytorch

Phil Wang 5k Jan 02, 2023