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A tool used to perform live image processing on WebGL contents.
A curated list of recent and past chart understanding work based on our IEEE TKDE survey paper: From Pixels to Insights: A Survey on Automatic Chart Understanding in the Era of Large Foundation Mod…
Discord bot to aid feedback distribution for classes
BOOSTLET.js: image processing plugins for the web
Extension in 3DSlicer for visualization of TMS
A Python Library for Outlier and Anomaly Detection, Integrating Classical and Deep Learning Techniques
a WebGL2 based medical image viewer. Supports over 30 formats of volumes and meshes.
A collection of modern/faster/saner alternatives to common unix commands.
Design domino art creations that interact with the real world using the ARCore Depth API.
Real Time Collision Avoidance Deep Learning Image Processing Alert System
haehn / covid19-map
Forked from baentsch/covid19-mapOpen COVID19 Map Visualization based on Johns Hopkins live data set
Python wrapper for Google's Draco mesh compression library.
SwiftShader is a high-performance CPU-based implementation of the Vulkan graphics API. Its goal is to provide hardware independence for advanced 3D graphics.
Tensorflow implementation of image-to-image translation using generative adversarial networks
A unified environment for DNN-based automated segmentation of neuronal EM images
Read and write Neuroglancer datasets programmatically.
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
[NeurIPS'19 Oral] CORnet: Modeling the Neural Mechanisms of Core Object Recognition
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
This is the repository for the BioImage Suite Web Project
Compresso: Efficient Compression of Segmentation Data For Connectomics
Cryptomator for Windows, macOS, and Linux: Secure client-side encryption for your cloud storage, ensuring privacy and control over your data.