A simple and effective method for single-class classification of images
[ICCV 2019] "DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better" by Orest Kupyn, Tetiana Martyniuk, Junru Wu, Zhangyang Wang
geodesic distance transform of 2d/3d images
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
Machine learning and adaptive intelligence module for 2015.
monty hall problem simulation in python
Cancer metastasis detection with neural conditional random field (NCRF)
A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.
NeRF (Neural Radiance Fields) and NeRF in the Wild using pytorch-lightning
Add curtain and sync modes to OpenSeadragon.
Don't mix, match! Simple utilities for improved registration of Histopathology Whole Slide Images.
Synthesizing and manipulating 2048x1024 images with conditional GANs
PyTorch implementation of the CortexNet predictive model
An open source framework that provides a simple, universal API for building distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.
Python Implementation of Reinforcement Learning: An Introduction
RISE: "Live" Reveal.js Jupyter/IPython Slideshow Extension
Winners of the TissueNet: Detect Lesions in Cervical Biopsies competition
Library for multiscale visualization of high-resolution multiplexed bioimaging data on the web. Directly renders Zarr and OME-TIFF.