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hpc-python

Python in High Performance Computing

iagcwd

An improved contrast enhancement method for image. :camera:

image-processings-in-cpp-using-opencv

implementing-deep-learning-in-the-field-of-radiology

In my internship at “RAD365 Technologies Inc”, I was design various classification and segmentation CNN models using Python Keras, Opencv, Sklearn etc. libraries. Here I implement CNN models for CT, MRI, X-RAY images.

indicatorsofattackfailure

Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples

intensity-based-mri-registration

Image registration is one of the prior steps for building computational model and Computer added diagnosis (CAD) which is the processes of transferring images into a common coordinate system, so that corresponding pixels represents homologous biological points. In this lab, we have familiarized with the concepts and framework of image registration based on two different transformation techniques namely “rigid transformation” and “affine transformation” for brain MRI. Comparisons also have been accomplished for single-resolution and multi-resolution registration for the same images in both rigid transformation and affine transformation. Different quantitative and qualitative metric performance are also been observed for all the experiments.

intensity-normalization

normalize the intensity of several MR image contrasts with various routines

internship-2019-works

introrl

Intro to Reinforcement Learning (强化学习纲要）

introtocomputervision

C++/CUDA solutions, slides, and resources for Udacity's Intro to Computer Vision (UD810) course.

ipcbuf

test/report the size of an IPC kernel buffer

jamesqquick

This is the personal profile readme for....well, me!

jose-portilla-time-series

knight

The official repository of the ISBI 2022 KNIGHT Challenge

learning-opencv-3_examples

lectures

Code shown in the lectures

lemke-howson-algorithm

libfacedetection

An open source library for face detection in images. The face detection speed can reach 1000FPS.

lowlevelprogramming-university

How to be low-level programmer

machine-learning-a-to-z-udemy-course

machine-learning-a-z-hands-on-python-and-r-in-data-science

All course assignments/code of Machine Learning A-Z: Hands-on Python and R in Data Science.

malaria-net

Design a CNN based Binary classification model which classifies between normal and parasitized malaria cells. Add Class activation mapping (GRAD CAM) for better explainability of the model. Add parasitized cell detection using Tensorflow object detection API using the SSD model.

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

matlab-programs

medical-image-registration-resources

Medical image registration related books, tutorials, papers, datasets, toolboxes and deep learning open source codes

mipnerf

mlops-basics

mlp-ondevice-training

FPGA on-device training and inference of a MLP neural network

mpi_learn

Distributed learning with mpi4py

mrivis

medical image visualization library and development toolkit