adjanni
Learning is my default value. Signal processing scientist, Machine Learning, and Computer Vision Expert (on going...). Proficient in C++, Python, and MATLAB
Norway
adjanni's Stars
pytorch/vision
Datasets, Transforms and Models specific to Computer Vision
davisking/dlib
A toolkit for making real world machine learning and data analysis applications in C++
kmario23/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
domlysz/BlenderGIS
Blender addons to make the bridge between Blender and geographic data
xinario/awesome-gan-for-medical-imaging
Awesome GAN for Medical Imaging
albarqouni/Deep-Learning-for-Medical-Applications
Deep Learning Papers on Medical Image Analysis
MIC-DKFZ/medicaldetectiontoolkit
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.
deepmedic/deepmedic
Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans
NVIDIA/gpu-monitoring-tools
Tools for monitoring NVIDIA GPUs on Linux
nyukat/breast_cancer_classifier
Deep Neural Networks Improve Radiologists' Performance in Breast Cancer Screening
CoffeeBeforeArch/cuda_programming
Code from the "CUDA Crash Course" YouTube series by CoffeeBeforeArch
echonet/dynamic
EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.
ayushgaud/path_planning
Quadcopter path planning using RRT* and minimum jerk trajectory generation
slowvak/MachineLearningForMedicalImages
Example code on how to apply machine learning methods to medical images. Contains code (python and python notebooks) and data (DICOM)
apolanco3225/Data-Augmentation-and-Segmentation-with-GANs-for-Medical-Images
Generating randomized brain MRI images from random noise using a GAN. Additionally translating from one image domain to another with a conditional GAN (pix2pix): Segmenting brain anatomy - Generating brain MRI from the segmentation - Augmenting the translation of image modalities in a limited dataset to perform ischemic stroke segmentation.
CoffeeBeforeArch/parallel_programming
A collection of code examples for learning parallel programming concepts
PyLops/pyproximal
PyProximal – Proximal Operators and Algorithms in Python
osin-vladimir/kaggle-satellite-imagery-feature-detection
Satellite Imagery Feature Detection (68 out of 419)
muggin/show-and-tell
Neural Image Captioning (KTH ID2223 Project)
cako/KirchMig.jl
Julia package to perform Kirchhoff migration and demigration
slowvak/AI-Deep-Learning-Lab
Data, notebooks, and articles associated with the RSNA AI Deep Learning Lab
aaronfoe/gempy_to_gimli
Create geological models in GemPy and transfer them to pyGIMLI & vice versa
roserustowicz/finding-aliens
Finding crop circles in satellite imagery
adjanni/Udacity_ComputerVision_Expert_ND_SmallProjects
This repository show the small projects I am working on while going through the UDACITY Computer Vision Expert Nano Degree.
adjanni/Machine_Learning_Projects
This repository contains some of the projects I have worked on or a work in progress.
adjanni/Python4Data_science
This is my JupyterLab files where you can follow my machine learning pathway. I have used Python for a year before I begin this course on Python for Data Science by IBM.