TouchDesigner
MadMapper
Pure Data
Resolume
QLab
VPT
HeavyM
Modul8
TFlearn
Keras
Clarifai
DeepPy
Microsoft Cognitive Toolkit (Formerly CNTK)
Merlin
Knet
Swift Brain
TouchDesigner
TFlearnBased on our record, TouchDesigner seems to be a lot more popular than TFlearn. While we know about 34 links to TouchDesigner, we've tracked only 2 mentions of TFlearn. 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.
I use TouchDesigner โ a nod-based environment from Derivative where you build everything from nodes: CHOPs for data, SOPs for geometry, TOPs for textures, COMPs for components. You can do generative art, data visualization, VJ sets, interactive installations, real-time video processing. Download it free โ the non-commercial license covers most use cases. - Source: dev.to / about 1 month ago
Https://derivative.ca/ (Both packages have a shared origin I believe). - Source: Hacker News / about 1 year ago
I think this general class of software is called Show Control. There are commercial and open source projects that also do it in some form: https://en.wikipedia.org/wiki/MIDI_Show_Control https://v-control.com/ https://qlab.app/ https://troikatronix.com/ https://derivative.ca/ Plus a variety of Video DJ platforms like VDMX, Arkaos, GrandVJ, which have some of this functionality, and then a lot of free and... - Source: Hacker News / about 1 year ago
Will it be something like TouchDesigner[1] ? I never used it myself, but I follow a lot of creative types who make music visualizations, and art installations with it. I can't find it on Github though, maybe repo is private ? [1] https://derivative.ca/. - Source: Hacker News / over 1 year ago
โ Resolume โ NestMap โ TouchDesigner โ MadMapper โ Any other software listed on the Spout website. Source: about 3 years ago
TFLearn โ Deep learning library featuring a higher-level API for TensorFlow. - Source: dev.to / almost 4 years ago
Both the teams in a game are given their individual ID values and are made into vectors. Relevant data like the home and away team, home runs, RBIโs, and walkโs are all taken into account and passed through layers. Thereโs no need to reinvent the wheel here, there's a multitude of libraries that enable a coder to implement machine learning theories efficiently. In this case we will be using a library called... - Source: dev.to / over 5 years ago
MadMapper - The Mapping Software
Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.
Pure Data - Pd (aka Pure Data) is a real-time graphical programming environment for audio, video, and graphical...
Clarifai - The World's AI
Resolume - Resolume is an application for live video performances.
DeepPy - DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.