DIY-ai-art
awesome-creative-coding
DIY-ai-art | awesome-creative-coding | |
---|---|---|
14 | 8 | |
558 | 12,216 | |
- | - | |
0.0 | 6.1 | |
over 2 years ago | 11 days ago | |
Python | HTML | |
- | - |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
DIY-ai-art
-
Ask HN: Resources to learn generative art programming?
Here's a generative art project I did a while back: https://github.com/maxvfischer/DIY-ai-art
It's not so much about creating the generative algorithms, but more if you wanna wrap the learning around a fun project.
-
AI-art isn't art: DALL-E and other AI artists offer only the imitation of art
Last year I built an AI-art installation from scratch and posted the DIY-documentation here on HN [0][1]. A big part of why I built the installation was to stir up this exact discussion. To me, art is about emotions and making people feel, even if that feeling is their strong opinion on art.
[0] https://github.com/maxvfischer/DIY-ai-art)
[1] https://news.ycombinator.com/item?id=28221904
-
Cool (online) places for 2022
DIY AI art
-
DIY AI Art - Can I use Raspberry PI instead of Nvidia Jetson?
I have a question regarding this DIY AI Art project - https://github.com/maxvfischer/DIY-ai-art
- Show HN: I built an AI art installation at home generating new pieces on the fly
- How to build your own AI art installation from scratch
-
Painted from image by learned neural networks
This is amazing! I recently shared a project I've been doing, building an installation visualizing ML-generated art (https://github.com/maxvfischer/DIY-ai-art). It would be amazing to try your painting model on top of my StyleGAN.
-
[P] I build a GAN art installation from scratch at home. Tired of an artwork? Just push the button below the screen and another generated piece will be displayed. By adding a dimension where an artwork you like is just a button-push away from being deleted, it actually makes you enjoy it more
I’ve also written an extensive guide if you want to build your own installation: https://github.com/maxvfischer/DIY-ai-art
awesome-creative-coding
- Ask HN: Resources to learn generative art programming?
-
Are there any resources to learn generative art?
Awesome Creative Coding
- a question about where to start
-
How difficult is it to make such a software?
As far as I can tell from the Twitter thread, he made a few prototypes. These Tweets made me enter a rabbit hole on the topic of creative coding, there are A TON of very cool tools out there. Here is a list: https://github.com/terkelg/awesome-creative-coding. You could use these frameworks to build a data visualization tool from the ground up. There are also many pre-built data visualization frameworks, but I doubt there's one that can visualize data exactly in the way shown in the Tweets. Here are some libraries (special focus on PKMS): https://github.com/terkelg/awesome-creative-coding. This GitHub repo is also an excellent source of other PKMS tools.
-
Best coding languages/ editors for creative coding and generative artwork?
This repo on GitHub is a really great starting point: https://github.com/terkelg/awesome-creative-coding
-
Fidenza
The source code is visible on-chain - it can be queried from the smart contract, but also it has been etched into the data of the “script upload” transaction. This is how ArtBlocks and other projects can fetch the script and display it. But that doesn’t mean the code is open source! Just like scripts on a website (which are also easy to see), the author decides on how to license the work.
I often suggest GenerativeArtistry as a simple starting point if you already know a bit of JavaScript and want to understand how it works on a basic level[1]. Tyler Hobbs' blog (OP link) also has some great essays on generative art[2], as with the blog of Anders Hoff[3], and also lots of other resources in awesome-creative-coding repo[4].
[1] - https://generativeartistry.com/
[2] - https://tylerxhobbs.com/essays
[3] - https://inconvergent.net/#writing
[4] - https://github.com/terkelg/awesome-creative-coding
- 🅗🅞🅛🅔 (P5.js)
- Grooves
What are some alternatives?
ProsePainter
react-globe.gl - React component for Globe Data Visualization using ThreeJS/WebGL
trt_pose - Real-time pose estimation accelerated with NVIDIA TensorRT
RENDER96-HD-TEXTURE-PACK - we'd like to think of this texture pack as a resource also, if you want to give sm64 your own look feel free to use these as a base for accuracy, just credit them render96 boys & girls
kalidokit - Blendshape and kinematics calculator for Mediapipe/Tensorflow.js Face, Eyes, Pose, and Finger tracking models.
awesome-django - A curated list of awesome things related to Django
torch2trt - An easy to use PyTorch to TensorRT converter
awesome-playcanvas - A curated list of awesome PlayCanvas assets, resources, and more.
StyleGAN-Tensorflow - Simple & Intuitive Tensorflow implementation of StyleGAN (CVPR 2019 Oral)
globe.gl - UI component for Globe Data Visualization using ThreeJS/WebGL
jetson_stats - 📊 Simple package for monitoring and control your NVIDIA Jetson [Orin, Xavier, Nano, TX] series
FielDHub - FielDHub is an R Shiny design of experiments (DOE) app that aids in the creation of traditional, unreplicated, augmented and partially replicated (p-rep) designs applied to agriculture, plant breeding, forestry, animal and biological sciences.