Spectrum VS Tensorflow-Lyrics-Generator

Compare Spectrum vs Tensorflow-Lyrics-Generator and see what are their differences.

Tensorflow-Lyrics-Generator

Simple Tensorflow Lyrics Generator (trained from 7 Metallica songs) using LSTMs (by ashwins-code)
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Spectrum Tensorflow-Lyrics-Generator
2 1
44 2
- -
0.0 1.8
over 3 years ago over 2 years ago
Python PureBasic
MIT License -
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Spectrum

Posts with mentions or reviews of Spectrum. We have used some of these posts to build our list of alternatives and similar projects.

Tensorflow-Lyrics-Generator

Posts with mentions or reviews of Tensorflow-Lyrics-Generator. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Spectrum and Tensorflow-Lyrics-Generator you can also consider the following projects:

DeepCreamPy - Decensoring Hentai with Deep Neural Networks

Handwritten-Digit-Recognizer - This project is aimed to recognize handwritten digits using a Convolutional Neural Network (CNN) model and a Graphical User Interface (GUI) developed using Kivy. Written in Python

textgenrnn - Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

BirdNET-Analyzer - BirdNET analyzer for scientific audio data processing.

ai-music - A vanilla Trasformer Decoder music generation model trained on Final Fantasy OST MIDI songs

chicksexer - A Python package for gender classification.

ydata-synthetic - Synthetic data generators for tabular and time-series data

transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

RAVE - Official implementation of the RAVE model: a Realtime Audio Variational autoEncoder

Basic-number-captcha-solver - This repo is for solving captcha images on METU student portal's course capacity check section.

nodding-pigeon - Detection and classification of head gestures in videos

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0