A plug-and-play tool for creating intranets
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Updated
Dec 17, 2019 - Python
A plug-and-play tool for creating intranets
SPL Paper Codes
Recursive Wavelet Neural Networks for Image Restoration
🚚 Easy to use python package for rapid experimentation on the classic travelling salesman problem. Contains implementations of various optimization algorithms, cool visualizers and a plug-in architecture.
Official repository for Plug-n-Play MPI Reconstruction
A plug and play type graphql API making library
Plug-and-play collaboration between specialized Tsetlin machines
A feature-wise pluggable and/or entirely replicable Python Django web-application to centrally manage time or resource slots for events. Deployed at a state-level event for resource management.
A high cohesion, low coupling, and plug-and-play project framework for PyTorch.
📚 LESP is a lightweight, efficient spelling proofreader written in Python. It's designed to be easy to use and lightweight, while still providing a decent result when checking for spelling errors. Resource consumption is kept to a minimum, and the program is designed to be as fast as possible.
The SFPN is a novel plug-and-play component for the CNN object detector. This project is the official code for the paper "SFPN: Synthetic FPN for Object Detection" in IEEE ICIP 2022.
Utilities and methods to use the PnP algorithm and MACE framework on image reconstruction problems. Includes demos for superresolution and CT.
Fast code for parallel or fan beam tomographic reconstruction
Implementation of the paper SAM-Deblur: Let Segment Anything Boost Image Deblurring(ICASSP2024)
USBMonitor is an easy-to-use cross-platform library for USB device monitoring that simplifies tracking of connections, disconnections, and examination of connected device attributes on both Windows and Linux, freeing the user from platform-specific details or incompatibilities.
PyTorch implementation of "Deep Plug-and-Play Prior for Hyperspectral Image Restoration" (Neurocomputing 2022)
[CVPR '23] Unite and Conquer: Plug & Play Multi-Modal Synthesis using Diffusion Models
Python wrapper to small NORB dataset
CORE is a plug-and-play conversational agent for any recommender system.
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