Spectrum
textgenrnn
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Spectrum | textgenrnn | |
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2 | 7 | |
44 | 4,943 | |
- | - | |
0.0 | 0.0 | |
over 3 years ago | almost 2 years ago | |
Python | Python | |
MIT License | GNU General Public License v3.0 or later |
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Spectrum
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AI that generates rap lyrics (Open-Source + Live Demo)
if you want to learn more about or see the code you can check out the Github( https://github.com/YigitGunduc/Spectrum) repo
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AI that generates rap music lyrics (ml/dl) (Open-Source)
yes flask for the backend and bootstrap for the frontend (here is the code fo the web app : https://github.com/YigitGunduc/Spectrum/tree/master/WebApp)
textgenrnn
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Modern alternative to textgenrnn?
Try this: 1) (Not sure if that's necessary.) Uninstall textgenrnn: pip3 uninstall textgenrnn. 2) Install it using one of this commands: * pip3 install git+git://github.com/minimaxir/textgenrnn.git * pip3 install git+https://github.com/minimaxir/textgenrnn.git (Try the first one, but if it'll raise an error, try the second one.) That's discussion about this "multi_gpu_model not found" error: https://github.com/minimaxir/textgenrnn/issues/222.
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How do you get a Python IDE to execute Python code?
Thanks! PyCharm seems to work well enough. However, I'm not sure how to run an existing project. I successfully imported this github release: https://github.com/minimaxir/textgenrnn But I don't see any "main" file that can be executed. If I run the "setup.py" file, it complains that there is "no command to be executed." Also, import commands seem to fail, even though I literally have the files in the project that I'm trying to import. :/ I don't know how I'm supposed to run commands defined in the project if they can't be imported into a script.
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I trained a neural network on every town and village name in England and then made a website that lets you generate them
This is an utterly fantastic question but I actually don't understand much about neural nets at all, and am just using a prebuilt python library is basically text based neural nets for idiots (https://github.com/minimaxir/textgenrnn) Happy to share data though if you want to find this out and would know how?
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The Office - an episode generated by NN
Python package: Textgenrnn
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makeitmetal.net - A metal band name generator using Python/Tensorflow
I started off with the model from textgenrnn, which is an RNN with LSTM layers. I'm not an expert on deep learning or different model architectures, and textgenrnn is a great starting point because you can use pretrained weights as a starting point for your model. I tweaked the model architecture slightly to allow multiple context labels, but most of the work on this project was porting the model to TensorFlow.js so it could run in the browser once I'd trained it in Python.
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What's wrong with my import?
Is it installed? https://github.com/minimaxir/textgenrnn#usage
What are some alternatives?
DeepCreamPy - Decensoring Hentai with Deep Neural Networks
gpt-2-simple - Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
ai-music - A vanilla Trasformer Decoder music generation model trained on Final Fantasy OST MIDI songs
deepface - A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python
Tensorflow-Lyrics-Generator - Simple Tensorflow Lyrics Generator (trained from 7 Metallica songs) using LSTMs
d2l-en - Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
ydata-synthetic - Synthetic data generators for tabular and time-series data
DeepAA - make ASCII Art by Deep Learning
RAVE - Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder
autokeras - AutoML library for deep learning
nodding-pigeon - Detection and classification of head gestures in videos
build_a_neural_net_live - The LSTM Neural net code for @Sirajology on Youtube's live video