fake-news
peacasso
fake-news | peacasso | |
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1 | 2 | |
130 | 352 | |
- | - | |
4.1 | 3.3 | |
over 3 years ago | 9 months ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU Affero General Public License v3.0 | MIT License |
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fake-news
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Building an End-to-End Machine Learning Application From Idea to Deployment
Hi I had the same issue I think code for EDA part is in https://github.com/mihail911/fake-news/blob/master/notebooks/data_analysis.ipynb
peacasso
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[P] Mixing Prompts (with Weights) in Stable Diffusion Models
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).
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[P] Peacasso - A Web UI for Stable Diffusion Models
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?
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.