Music Generation using Neural Networks Streamlit App

Overview

Music_Gen_Streamlit

"Music Generation using Neural Networks" Streamlit App

TO DO:

  • Make a run_app.sh

  • Introduction [~5 min] (Sohaib)

    • Team Member names/intro (WS 2019/2020, course name)
    • Outline
      • Introduction
      • Data
      • Phase 1
      • Phase 2
      • Neural DJ
    • Literature review
      • Refer to the literature slides
  • Data Analysis [~10 min] (Shivaani)

    • General Info about data
      • Add charts and sources about data (Lakh and RedditPop)
    • DataProcessing Pipeline Graph (streamlit graph docs/ Abdallah's choice)
    • Raw MIDI data
      • Music21 intro and applications
      • show raw midi (without explanation, button to visualize raw midi (Sohaib))
    • Tokenized MIDI
      • Show Tokenized with variable length
      • Expand Tokens (musicautobot, go through section and see if its too explained)
    • Play MIDI (Sohaib)
      • Phase 1
        • Play original
        • Play extracted
      • Phase 2
        • Play sample (Lakh)
  • Add Model() (Abdallah)

    • Phase 1
      • Modeling (Hugging Face OpenAI GPT2)
      • Data
        • Only Piano (extracction process)
      • Tokenization problem
    • Phase 2
      • Modeling (Architecture, Transformer XL)
      • Data
        • Used piano, but then ran into problems
        • handle big files problem
      • musicautobot API for data
  • Add Prediction() (Code: Sohaib)

    • Overview of pred process
    • Play
      • Play original
      • Play predicted
    • Visualize
      • Note sheet original
      • Note sheet predicted
    • [?] Metrics
  • Technical Service/Deployment Pipeline (Code: Sohaib)

    • make a requirements.txt
    • Docker and heroku deployment
      • Make container
      • Check functionalities for each functional part of interface

Use Docker to run

make sure you have docker installed ./run_app.sh (this will take around 7-10 mins) then go to : localost:8501

RUN DEMO

https://neuralpiano.herokuapp.com/

Owner
Muhammad Sohaib Arshid
Muhammad Sohaib Arshid
Kaggle: Cell Instance Segmentation

Kaggle: Cell Instance Segmentation The goal of this challenge is to detect cells in microscope images. with simple view on how many cels have been ann

Jirka Borovec 9 Aug 12, 2022
A set of tests for evaluating large-scale algorithms for Wasserstein-2 transport maps computation.

Continuous Wasserstein-2 Benchmark This is the official Python implementation of the NeurIPS 2021 paper Do Neural Optimal Transport Solvers Work? A Co

Alexander 22 Dec 12, 2022
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

Deep Reinforcement Learning Agents This repository contains a collection of reinforcement learning algorithms written in Tensorflow. The ipython noteb

Arthur Juliani 2.2k Jan 01, 2023
a reimplementation of UnFlow in PyTorch that matches the official TensorFlow version

pytorch-unflow This is a personal reimplementation of UnFlow [1] using PyTorch. Should you be making use of this work, please cite the paper according

Simon Niklaus 134 Nov 20, 2022
MNIST, but with Bezier curves instead of pixels

bezier-mnist This is a work-in-progress vector version of the MNIST dataset. Samples Here are some samples from the training set. Note that, while the

Alex Nichol 15 Jan 16, 2022
Pretrained Cost Model for Distributed Constraint Optimization Problems

Pretrained Cost Model for Distributed Constraint Optimization Problems Requirements PyTorch 1.9.0 PyTorch Geometric 1.7.1 Directory structure baseline

2 Aug 28, 2022
fastgradio is a python library to quickly build and share gradio interfaces of your trained fastai models.

fastgradio is a python library to quickly build and share gradio interfaces of your trained fastai models.

Ali Abdalla 34 Jan 05, 2023
Face recognition system using MTCNN, FACENET, SVM and FAST API to track participants of Big Brother Brasil in real time.

BBB Face Recognizer Face recognition system using MTCNN, FACENET, SVM and FAST API to track participants of Big Brother Brasil in real time. Instalati

Rafael Azevedo 232 Dec 24, 2022
This was initially the repo for the project of [email protected] of Asaf Mazar, Millad Kassaie and Georgios Chochlakis named "Powered by the Will? Exploring Lay Theories of Behavior Change through Social Media"

Subreddit Analysis This repo includes tools for Subreddit analysis, originally developed for our class project of PSYC 626 in USC, titled "Powered by

Georgios Chochlakis 1 Dec 17, 2021
Next-gen Rowhammer fuzzer that uses non-uniform, frequency-based patterns.

Blacksmith Rowhammer Fuzzer This repository provides the code accompanying the paper Blacksmith: Scalable Rowhammering in the Frequency Domain that is

Computer Security Group @ ETH Zurich 173 Nov 16, 2022
Proto-RL: Reinforcement Learning with Prototypical Representations

Proto-RL: Reinforcement Learning with Prototypical Representations This is a PyTorch implementation of Proto-RL from Reinforcement Learning with Proto

Denis Yarats 74 Dec 06, 2022
This is the reference implementation for "Coresets via Bilevel Optimization for Continual Learning and Streaming"

Coresets via Bilevel Optimization This is the reference implementation for "Coresets via Bilevel Optimization for Continual Learning and Streaming" ht

Zalán Borsos 51 Dec 30, 2022
Generate pixel-style avatars with python.

face2pixel Generate pixel-style avatars with python. Run: Clone the project: git clone https://github.com/theodorecooper/face2pixel install requiremen

Theodore Cooper 2 May 11, 2022
Code for Dual Contrastive Learning for Unsupervised Image-to-Image Translation, NTIRE, CVPRW 2021.

arXiv Dual Contrastive Learning Adversarial Generative Networks (DCLGAN) We provide our PyTorch implementation of DCLGAN, which is a simple yet powerf

119 Dec 04, 2022
[ACM MM 2019 Oral] Cycle In Cycle Generative Adversarial Networks for Keypoint-Guided Image Generation

Contents Cycle-In-Cycle GANs Installation Dataset Preparation Generating Images Using Pretrained Model Train and Test New Models Acknowledgments Relat

Hao Tang 67 Dec 14, 2022
A PyTorch implementation of "From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network" (ICCV2021)

From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network The official code of VisionLAN (ICCV2021). VisionLAN successfully a

81 Dec 12, 2022
Transfer Learning library for Deep Neural Networks.

Transfer and meta-learning in Python Each folder in this repository corresponds to a method or tool for transfer/meta-learning. xfer-ml is a standalon

Amazon 245 Dec 08, 2022
Tensorflow implementation of Character-Aware Neural Language Models.

Character-Aware Neural Language Models Tensorflow implementation of Character-Aware Neural Language Models. The original code of author can be found h

Taehoon Kim 751 Dec 26, 2022
StarGAN - Official PyTorch Implementation (CVPR 2018)

StarGAN - Official PyTorch Implementation ***** New: StarGAN v2 is available at https://github.com/clovaai/stargan-v2 ***** This repository provides t

Yunjey Choi 5.1k Jan 04, 2023
History Aware Multimodal Transformer for Vision-and-Language Navigation

History Aware Multimodal Transformer for Vision-and-Language Navigation This repository is the official implementation of History Aware Multimodal Tra

Shizhe Chen 46 Nov 23, 2022