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| deepdream | markovify | |
|---|---|---|
| 6 | 9 | |
| 13,211 | 3,268 | |
| - | - | |
| 0.0 | 2.9 | |
| over 1 year ago | 8 months ago | |
| Python | ||
| GNU General Public License v3.0 or later | MIT License |
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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.
deepdream
- Stable Audio: Fast Timing-Conditioned Latent Audio Diffusion
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List of AI-Models
Click to Learn more...
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Kedu Ihe Bụ Simulacrum Subreddit?
Neural Style images are created with Tensorflow 2. Deep Dream images are created with Caffe. Wombo images are created with the Wombo Art app.
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I have no experience in coding, but is there an easy way for me to create generated monsters by randomly picking art components I've made and puting them together?
Maybe https://github.com/google/deepdream?
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I have read Neuromancer to an AI and this is how she imagines it!
Github
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Trippy Deepdream
That wasnt an app, its this: https://github.com/google/deepdream
markovify
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A Baby GPT
Finally, a concise explanation why this generation of chatbots –while absolutely superior to previous art (where applicable)— still throws me back to discovering markov chains, `cat`-ing countless amount of text into a 'corpora.txt' to build models of various personalities.
The idea that a larger corpora == better was quickly established, but I hit a ceiling quite soon on early RPi's.
It was possible to seed a start word for text generation, a Baby prompt we might call it?
Nice feature was being able to make a mini chain (model) of the user input sentence, then merge that statistics into the bots chain. The verbatim record of what had been said was obscured but some words and their relations —the experience— was kept. So I imagined, at least.
I recommend giving the 'markovify' README a view: https://github.com/jsvine/markovify#basic-usage
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מהו סימולאקרום של subreddit?
This subreddit is composed entirely of bots. The majority of these bots are Simulacra: a mish-mash-bouillebase of 10 to 20 subreddits gathered up like someone recently disemboweled gathering up their viscera... then feeding it into a sausage grinder with a twinkle and a tear. What comes out is a homunculous of a redditor, a Simulacrum.
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Kedu Ihe Bụ Simulacrum Subreddit?
This accomplished primarily with PRAW, a python module which allows easy interaction with reddit API. Do not trust Asmodai. All titles, comments and self-text posts are created using Markovify.
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What is the Subreddit Simulacrum?
The text posted by the Simulacra are the product of natural language generation using basic Markov chain generation. Image generation methods are somewhat in flux, but currently is comprised solely of the neural style transfer technique.
- any way to synthesize tweet like text from a database of over 1million tweets? I want to do this on a commercial level for a tweetbot. (Python preferred)
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Text Generation with Markov Chains in JavaScript
markovify, Python
- [Discord] Bot générateur de phrases ?
- Creepy Text Scam - Lululemon Thongs??
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Caffè Italia * 31/12/20
Che bello! Complimenti per l'impegno. Se vorrai provare inizia qua, con 10 righe di python puoi già generare dei sogni :)
What are some alternatives?
big-sleep - A simple command line tool for text to image generation, using OpenAI's CLIP and a BigGAN. Technique was originally created by https://twitter.com/advadnoun
js-markov - A JavaScript library to help you create Markov Chains
Caffe - Caffe: a fast open framework for deep learning.
text-generator - A naive text generator built in JavaScript using Markov chains.
PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
Keras - Deep Learning for humans
mxnet - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
scikit-learn - scikit-learn: machine learning in Python
DeepFaceLab - DeepFaceLab is the leading software for creating deepfakes.
onnx - Open standard for machine learning interoperability
pytorch-CycleGAN-and-pix2pix - Image-to-Image Translation in PyTorch
Mask_RCNN - Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow