Tensorflow-Lyrics-Generator VS chicksexer

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

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Tensorflow-Lyrics-Generator chicksexer
1 1
2 82
- -
1.8 0.0
over 2 years ago about 1 year ago
PureBasic Python
- MIT License
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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.

chicksexer

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

What are some alternatives?

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

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

PyTorch-NLP - Basic Utilities for PyTorch Natural Language Processing (NLP)

Spectrum - Spectrum is an AI that uses machine learning to generate Rap song lyrics

squirrel-core - A Python library that enables ML teams to share, load, and transform data in a collaborative, flexible, and efficient way :chestnut:

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

LSTM-Human-Activity-Recognition - Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

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

sru - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)

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

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

auto-drive - A machine learning AI in Python trained to play my car game.

Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.