Graph-based Fraud Detection Papers and Resources
A curated list of fraud detection papers using graph information or graph neural networks
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Posts
How to Use Forms in Streamlit EASY
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How to use Streamlit session states and callback functions
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Machine Learning Model Deployment with Python (Streamlit + MLflow)
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One unified API. One billion possibilities.
Covalent provides a unified API bringing visibility to billions of blockchain data points.
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PyTorch VAE
A collection of Variational AutoEncoders (VAEs) implemented in pytorch with focus on reproducibility.
The aim of this project is to provide a quick and simple working example for many of the cool VAE models out there. All the models are trained on the CelebA dataset for consistency and comparison.
The architecture of all the models are kept as similar as possible with the same layers, except for cases where the original paper necessitates a radically different architecture (Ex.
Simplifying Transformer Research with xFormers & Lightning
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Streamlit Demo: Real-Time Voice Cloning
This repository demonstrates how a simple voice transfer app can be created using Streamlit. The code for this demo is based on the repository for Real-Time-Voice-Cloning.
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Swiss Army knife for developers
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The best way to build web apps without code
Building tech is slow and expensive. Bubble is the most powerful no-code platform for creating digital products. Build better and faster.
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VAE Playground
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Visual Guide to Transformer Neural Networks
Visual Guide to Transformer Neural Networks (Series) - Step by Step Intuitive Explanation
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Yann LeCun: "A Path Towards Autonomous AI"
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A Flask Web App for Automatic Text Summarization Using SBERT
In this blog, we will build a Flask web app that can input any long piece of information such as a blog or news article and summarize it into just five lines!
Text summarization is an NLP(Natural Language Processing) task. SBERT(Sentence-BERT) has been used to achieve the same.
By the end of the article, you will learn how to integrate AI models and specifically pre-trained BERT models with Flask web technology as well!
What does 2022 hold for Geometric & Graph ML?
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