neptune.ai
Comet.ml
Weights & Biases
Algorithmia
Managed MLflow
Spell
MCenter
5Analytics
Magic Music Visuals
projectM
MilkDrop
Kauna
Avee Player
VJmachine - Music Visualizer
Plane9
Morphyre
Track and version your notebooks Log all your notebooks directly from Jupyter or Jupyter Lab. All you need is to install a Jupyter extension.
Manage your experimentation process Neptune tracks your work with virtually no interference to the way you like to do it. Decide what is relevant to your project and start tracking: - Metrics - Hyperparameters - Data versions - Model files - Images - Source code
Integrate with your workflow easily Neptune is a lightweight extension to your current workflow. Works with all common technologies in data science domain and integrates with other tools. It will take you 5 minutes to get started.
neptune.ai Magic Music VisualsOnly negative is I didn't see it integrated with Azure, does with Google, AWS and one more. Looks real nice, and pretty powerful and plenty useful features for a data science group
Based on our record, neptune.ai should be more popular than Magic Music Visuals. It has been mentiond 23 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Experiment tracking tools like MLflow, Weights and Biases, and Neptune.ai provide a pipeline that automatically tracks meta-data and artifacts generated from each experiment you run. Although they have varying features and functionalities, experiment tracking tools provide a systematic structure that handles the iterative model development approach. - Source: dev.to / 7 days ago
Neptune.ai - Log, store, display, organize, compare, and query all your MLOps metadata. Free for individuals: 1 member, 100 GB of metadata storage, 200h of monitoring/month. - Source: dev.to / 4 months ago
Hi I am Jakub. I run marketing at a dev tool startup https://neptune.ai/ and I share learnings on dev tool marketing on my blog https://www.developermarkepear.com/. Whenever I'd start a new marketing project I found myself going over a list of 20+ companies I knew could have done something well to “copy-paste” their approach as a baseline (think Tailscale, DigitalOCean, Vercel, Algolia, CircleCi, Supabase,... - Source: Hacker News / 8 months ago
There are a lot of tools out there for experiment tracking (eg neptune.ai), but I'm really not sure whether that sort of thing is over the top for what I need to do. Source: 10 months ago
Welcome to another episode of The Developer-led Podcast, where we dive into the strategies modern companies use to build and grow their developer tools. In this exciting episode, we're joined by Jakub Czakon, the CMO at Neptune.ai, a startup that assists developers in efficiently managing their machine-learning model data. Jakub is renowned not only for his role at Neptune.ai but also for his developer marketing... - Source: dev.to / 10 months ago
I've been looking hard at video synthesis for a few months now. Downloaded Magic Music Visuals and have been playing around with it (it's feature packed and pretty easy to learn), but I'm a DAWless musician and would really like to remain so with video synthesis. Source: 11 months ago
I use Magic Music Visuals. MMV is like $79, and it's really simple if you have any experience with "box and line" software like Reaktor. I tested a bunch of apps, and MMV took me less than an hour to get good results, and it was one of the cheapest. I know there's lots of other options, but I have never felt like I needed to get something else. Source: over 1 year ago
Check out Magic Music Visuals pretty simple to use - I knocked this up fairly quickly for one of my tunes. Source: over 1 year ago
The rest was done with Magic - not actual magic, the software: https://magicmusicvisuals.com. Source: over 1 year ago
A lot of people use https://magicmusicvisuals.com/. Source: over 1 year ago
Comet.ml - Comet lets you track code, experiments, and results on ML projects. It’s fast, simple, and free for open source projects.
projectM - projectM is an LGPL'ed reimplementation of Milkdrop under OpenGL.
Weights & Biases - Developer tools for deep learning research
MilkDrop - 3D audio visualization plugin, compatible with WinAmp plugin API
Algorithmia - Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.
Kauna - Kauna is a music visualizer. Kauna renders any sound reproduction in system.
