coursera-deep-learning-specialization
NeuralTextToImage
coursera-deep-learning-specialization | NeuralTextToImage | |
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112 | 2 | |
2,693 | 12 | |
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6.4 | 2.3 | |
21 days ago | 8 months ago | |
Jupyter Notebook | Jupyter Notebook | |
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coursera-deep-learning-specialization
NeuralTextToImage
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Giveaway of a few of my digital paintings (OC, AI-aided, 1:1)
I don't have the code I use for these in particular public, but the material generation process is based on VQGAN+CLIP: https://github.com/olaviinha/NeuralTextToImage
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"AP3 LIFE" – AI-generated art (no human editing)
I'm not the artist, but yes. Check out /r/bigsleep to get the idea what kind of images are produced by different text prompts. Or just try it yourself.
What are some alternatives?
cs231n - Note and Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
ru-dalle - Generate images from texts. In Russian
stanford-CS229 - Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng [UnavailableForLegalReasons - Repository access blocked]
blender-colab - Render Blender 4.x scenes with Google Colaboratory
deeplearning-notes - Notes for Deep Learning Specialization Courses led by Andrew Ng.
dl-colab-notebooks - Try out deep learning models online on Google Colab
Emotion_Detection_CNN_keras - Train and test our algorithm using Convolution Neural Networks and classify emotions in real-time.
gpt-3-simple-tutorial - Generate SQL from Natural Language Sentences using OpenAI's GPT-3 Model
start-machine-learning - A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2024 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!
glide-text2im-colab - Colab notebook for openai/glide-text2im.
stanford-cs229 - 🤖 Exercise answers to the problem sets from the 2017 machine learning course cs229 by Andrew Ng at Stanford
NovelAI-Colab - One-click run on Colab for all major models (NovelAI, Stable Diffusion V1.5) [Moved to: https://github.com/acheong08/Diffusion-ColabUI]