pytorch_deep_learning VS Spectrum

Compare pytorch_deep_learning vs Spectrum and see what are their differences.

pytorch_deep_learning

Using Pytorch to Create Deep Learning Models. (by kumarUjjawal)
Deep Learning pytroch Rnn Cnn neural-network image-classification text-classification text-generation
Source Code
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Spectrum

Spectrum is an AI that uses machine learning to generate Rap song lyrics (by YigitGunduc)
Lstm Keras Tensorflow text-generation languange-model NLP Machine Learning Deep Learning neural-network AI Python3 Flask Tensorflow2
Source Code
spectrumapp.herokuapp.com
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pytorch_deep_learning Spectrum
1 2
6 44
- -
0.0 0.0
over 3 years ago over 3 years ago
Python Python
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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pytorch_deep_learning

Posts with mentions or reviews of pytorch_deep_learning. We have used some of these posts to build our list of alternatives and similar projects.
  • Using PyTorch to Create Deep Learning Models.
    1 project | /r/deeplearning | 8 Dec 2021
    I've created a repository ‏‏‎ full of PyTorch codes for different deep learning models, please finish check out and any feedback is appreciated.https://github.com/kumarUjjawal/pytorch_deep_learning/tree/master

Spectrum

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

What are some alternatives?

When comparing pytorch_deep_learning and Spectrum you can also consider the following projects:

dnn_from_scratch - A high level deep learning library for Convolutional Neural Networks,GANs and more, made from scratch(numpy/cupy implementation).

DeepCreamPy - Decensoring Hentai with Deep Neural Networks

sentence-classification - Sentence Classifications with Neural Networks

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

nlp-recipes - Natural Language Processing Best Practices & Examples

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

eda_nlp - Data augmentation for NLP, presented at EMNLP 2019

Tensorflow-Lyrics-Generator - Simple Tensorflow Lyrics Generator (trained from 7 Metallica songs) using LSTMs

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

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

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

Speech_driven_gesture_generation_with_autoencoder - This is the official implementation for IVA '19 paper "Analyzing Input and Output Representations for Speech-Driven Gesture Generation".

pytorch_deep_learning vs dnn_from_scratch Spectrum vs DeepCreamPy pytorch_deep_learning vs sentence-classification Spectrum vs textgenrnn pytorch_deep_learning vs nlp-recipes Spectrum vs ai-music pytorch_deep_learning vs eda_nlp Spectrum vs Tensorflow-Lyrics-Generator Spectrum vs ydata-synthetic Spectrum vs RAVE Spectrum vs nodding-pigeon Spectrum vs Speech_driven_gesture_generation_with_autoencoder