How worried are you about AI taking over music?

• Pytorch

  120 64,111 10.0 C++

  Tensors and Dynamic neural networks in Python with strong GPU acceleration

  

  PyTorch 2,600 contributors

• fairseq

  34 21,367 8.3 Python

  Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

  

  Fairseq 1.1k contributors

• InfluxDB

  www.influxdata.com

  sponsored

  Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.

  

• tensorflow

  74 172,321 10.0 C++

  An Open Source Machine Learning Framework for Everyone

  

  Tensorflow 238k contributors

• fastText

  3 24,326 0.0 HTML

  Library for fast text representation and classification.

  

  fasttext 50

• deepmind-research

  4 11,581 7.9 Jupyter Notebook

  This repository contains implementations and illustrative code to accompany DeepMind publications

  

  Deepmind 63

• Vue.js

  100 202,877 9.5 TypeScript

  This is the repo for Vue 2. For Vue 3, go to https://github.com/vuejs/core

  

  Vue 356 contributors 202k stars

• React

  612 204,423 9.8 JavaScript

  The library for web and native user interfaces

  

  React(also FB) 1.6k contributors 201k stars

• Sonar

  www.sonarsource.com

  sponsored

  Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.

  

• Bootstrap

  211 162,431 9.8 JavaScript

  The most popular HTML, CSS, and JavaScript framework for developing responsive, mobile first projects on the web.

  

  Bootstrap 1.3k contributors 162k stars

• ohmyzsh

  210 156,699 7.7 Shell

  🙃 A delightful community-driven (with 2,100+ contributors) framework for managing your zsh configuration. Includes 300+ optional plugins (rails, git, macOS, hub, docker, homebrew, node, php, python, etc), 140+ themes to spice up your morning, and an auto-update tool so that makes it easy to keep up with the latest updates from the community.

  

  Ohmyzsh 2.1k contributors 155k stars

• TheAlgorithms

  32 155,756 9.7 Python

  All Algorithms implemented in Python

  

  Python 940 contributors 152k stars

• Flutter

  480 151,416 10.0 Dart

  Flutter makes it easy and fast to build beautiful apps for mobile and beyond

  

  Flutter (Google) 1.1k contributors 150k stars

• linux

  306 148,270 10.0 C

  Linux kernel source tree

  Linux 18k contributors 146k stars

• Opus-MT

  2 302 3.5 Python

  Open neural machine translation models and web services

  

  Yes, most models these days, except the exceptionally large ones, are possible to train on a laptop. Of course it helps if your laptop has Nvidia CUDA GPU, but even if it doesn't you can rent an AWS 4 core/16GB GPU instance for 0.5 cents an hour. 24 hours of training time would be quite a lot for most models, unless you're trying to train a FB any to any language type model, but typically the big huge models are not the most interesting ones, and you can get very good results, and interesting models with substantially smaller sets of data. Opus MT models are only one language to one language, but they're about 300MB a model, and the quality rivals FB's models, and the speed is substantially faster. I don't have as many examples from the music space, as it's still a fairly under explored area, but Google has released Magenta which is a pretrained Tensorflow music model(actually a group of 3-4 models).

Suggest a related project