mnistMuddle
detecting-beer
| mnistMuddle | detecting-beer | |
|---|---|---|
| 2 | 1 | |
| 3 | 10 | |
| - | - | |
| 0.0 | 2.4 | |
| almost 3 years ago | about 1 year ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | - |
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mnistMuddle
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Basic Auto Encoder project - Generating poorly written digits [PyTorch]
yes, you are thinking in the right direction. I'm passing the input image to get the latent vector and then decoding it. For each of the 10 classes, I've also computed the average latent vector to represent that label cluster. Check this code here - LINK
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[P] Basic Auto Encoder project - Generating poorly written digits (PyTorch)
Hi, looking for your thoughts and feedback I created this side project to play with latent domain. The aim was to transform an input image to something that looks somewhere between 2 digits. The repository below will give you a practical exposure to Auto Encoders, Latent Domain, PyTorch, Hosting on Streamlit. GitHub Repository - LINK
detecting-beer
What are some alternatives?
first-order-model - This repository contains the source code for the paper First Order Motion Model for Image Animation
cybersecurity-jina - Network Intrusion Dahsboard built with Jina and Streamlit
notebooks - Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models like Grounding DINO and SAM.
uav-detection - Drone / Unmanned Aerial Vehicle (UAV) Detection is a very safety critical project. It takes in Infrared (IR) video streams and detects drones in it with high accuracy.
pitstop - This repo contains a sample application based on a Garage Management System for Pitstop - a fictitious garage. The primary goal of this sample is to demonstrate several software-architecture concepts like: Microservices, CQRS, Event Sourcing, Domain Driven Design (DDD), Eventual Consistency.
apartment_recommender_streamlit_app - Streamlit App that recommends apartments in Seattle using the Airbnb kaggle dataset: https://www.kaggle.com/code/rdaldian/airbnb-content-based-recommendation-system/data?select=listings.csv
Beer-Lecture - Short and fun history of beer and brewing told in a very practical manner