fake-news VS peacasso

Compare fake-news vs peacasso and see what are their differences.

fake-news

Building a fake news detector from initial ideation to model deployment (by mihail911)

peacasso

UI interface for experimenting with multimodal (text, image) models (stable diffusion). (by victordibia)
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fake-news peacasso
1 2
130 352
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4.1 3.3
over 3 years ago 9 months ago
Jupyter Notebook Jupyter Notebook
GNU Affero General Public License v3.0 MIT License
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.

fake-news

Posts with mentions or reviews of fake-news. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-06.

peacasso

Posts with mentions or reviews of peacasso. We have used some of these posts to build our list of alternatives and similar projects.
  • [P] Mixing Prompts (with Weights) in Stable Diffusion Models
    1 project | /r/MachineLearning | 2 Nov 2022
    The concept is not entirely novel, but figuring out a good user experience is the more interesting part. It is implemented in the Peacasso library (based on huggingface diffusers).
  • [P] Peacasso - A Web UI for Stable Diffusion Models
    1 project | /r/MachineLearning | 4 Sep 2022
    Peacasso - a UI for interacting with stable diffusion models. As text to image models become smaller, with available weights and generate competitive images (e.g. stable diffusion models), there have been efforts to build interfaces for interacting with these models. Code and instructutions can be found on Github - https://github.com/victordibia/peacasso.

What are some alternatives?

When comparing fake-news and peacasso you can also consider the following projects:

onepanel - The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

stablediffusion-infinity - Outpainting with Stable Diffusion on an infinite canvas

mt5-M2M-comparison - Comparing M2M and mT5 on a rare language pairs, blog post: https://medium.com/@abdessalemboukil/comparing-facebooks-m2m-to-mt5-in-low-resources-translation-english-yoruba-ef56624d2b75

Deep-Learning - In-depth tutorials on deep learning. The first one is about image colorization using GANs (Generative Adversarial Nets).

fastMONAI - Simplifying deep learning for medical imaging

stable-diffusion-howto - Run Stable Diffusion on your M1 Mac’s GPU (Intel and non-Apple PCs are also supported)

mlf-core - CPU and GPU deterministic and therefore fully reproducible machine learning pipelines using MLflow.

YOLOv3-Cloud-Based-Fire-Detection - Custom Object detection using YOLOv3 on the cloud. It is trained to detect Fire in a given frame. It can be largely used for Wildfires, fire accidents, etc.

bert-sklearn - a sklearn wrapper for Google's BERT model

homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

TabularSemanticParsing - Translating natural language questions to a structured query language

bitcoin_price_prediction - This project tries to prediction the bitcoin price with machine and deep learning.