gpt-3-simple-tutorial VS NeuralTextToImage

Compare gpt-3-simple-tutorial vs NeuralTextToImage and see what are their differences.

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gpt-3-simple-tutorial NeuralTextToImage
1 2
186 12
- -
0.0 2.3
almost 3 years ago 8 months ago
Jupyter Notebook Jupyter Notebook
Apache License 2.0 -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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.

gpt-3-simple-tutorial

Posts with mentions or reviews of gpt-3-simple-tutorial. We have used some of these posts to build our list of alternatives and similar projects.

NeuralTextToImage

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

What are some alternatives?

When comparing gpt-3-simple-tutorial and NeuralTextToImage you can also consider the following projects:

FinRL-Meta - FinRL­-Meta: Dynamic datasets and market environments for FinRL.

ru-dalle - Generate images from texts. In Russian

mgpt - Multilingual Generative Pretrained Model

blender-colab - Render Blender 4.x scenes with Google Colaboratory

minGPT-TF - A minimal TF2 re-implementation of the OpenAI GPT training

dl-colab-notebooks - Try out deep learning models online on Google Colab

glide-text2im-colab - Colab notebook for openai/glide-text2im.

open-ai - OpenAI PHP SDK : Most downloaded, forked, contributed, huge community supported, and used PHP (Laravel , Symfony, Yii, Cake PHP or any PHP framework) SDK for OpenAI GPT-3 and DALL-E. It also supports chatGPT-like streaming. (ChatGPT AI is supported)

coursera-deep-learning-specialization - Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

pytorch-sentiment-analysis - Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

NovelAI-Colab - One-click run on Colab for all major models (NovelAI, Stable Diffusion V1.5) [Moved to: https://github.com/acheong08/Diffusion-ColabUI]