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shuofeng zhao's Projects

image_segmentation_and_statistical-analysis icon image_segmentation_and_statistical-analysis

Image segmentation and statistical analysis techniques have been applied to determine cancer cells progression in that area of specimen. OpenCV 'grabCut' algorithm and multiple image threshold and segmentation techniques have been applied

imgaug icon imgaug

Image augmentation for machine learning experiments.

impartial icon impartial

Interactive deep learning whole-cell segmentation and thresholding using partial annotations

inhomonet icon inhomonet

A shared software platform to serve as a unified and integrated environment for processing and analyzing neuroimaging data with deep learning methods.

instant-ngp icon instant-ngp

Instant neural graphics primitives: lightning fast NeRF and more

introrl icon introrl

Intro to Reinforcement Learning (强化学习纲要)

ip_tool icon ip_tool

This is an image processing toolbox that gives the functionality of selective blurring and object removal. It has a web-based GUI and can easily be used by following the instructions below. It incorporates: Selective Search based object selection Grab Cut based object selection Motion Blur Exemplar Based image inpainting TELEA image Inpaintaing

iris icon iris

Semi-automatic tool for manual segmentation of multi-spectral and geo-spatial imagery.

irn icon irn

Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations, CVPR 2019 (Oral)

ivadomed icon ivadomed

Repository on the collaborative IVADO medical imaging project between the Mila and NeuroPoly labs.

iw-net icon iw-net

iW-Net: an automatic and minimalistic interactive lung nodule segmentation deep network. By Guilherme Aresta, Colin Jacobs, Teresa Araújo, António Cunha, Isabel Ramos, Bram van Ginneken and Aurélio Campilho

jseg icon jseg

JSeg is a Semantic segmentation toolbox based on MMSegmentation and Jittor

kalman-and-bayesian-filters-in-python icon kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

leetcode-py icon leetcode-py

⛽️「算法通关手册」,超详细的「算法与数据结构」基础讲解教程,「LeetCode」700+ 道题目的详细解析。通过「算法理论学习」和「编程实战练习」相结合的方式,从零基础到彻底掌握算法知识。

lost icon lost

Pytorch implementation of LOST unsupervised object discovery method

lts icon lts

Local Temperature Scaling for Probability Calibration

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