blaxe05
Technology freak. Internet nut. Interested in Machine Learning and AI. PhD fighter. Sun hater.
Center for Intelligent Signal and Imaging Research, Universiti Teknologi PETRONASMalaysia
Pinned Repositories
3D-brain-segmentation
This is a repository containing code to Paper "Optimized High Resolution 3D Dense-U-Net Network for Brain and Spine Segmentation" published at MDPI Applied sciences journal - https://www.mdpi.com/2076-3417/9/3/404 .
3D-Machine-Learning
A resource repository for 3D machine learning
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
imbalanced-learn
A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning
innvestigate
A toolbox to iNNvestigate neural networks' predictions!
knee-cartilage-segmentation
The project covers various deep learning models to automate the segmentation of knee cartilages using the diffusion weighted MRI
MadeWithML
Learn how to responsibly deliver value with ML.
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
blaxe05's Repositories
blaxe05/MadeWithML
Learn how to responsibly deliver value with ML.
blaxe05/awesome-jupyter
A curated list of awesome Jupyter projects, libraries and resources
blaxe05/build-your-own-x
Master programming by recreating your favorite technologies from scratch.
blaxe05/CartiMorph
CartiMorph: a framework for knee articular cartilage morphometrics
blaxe05/CartiMorph-Toolbox
A toolbox for automated knee cartilage morphometrics.
blaxe05/DAFormer
Official Implementation of DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation
blaxe05/deap
Distributed Evolutionary Algorithms in Python
blaxe05/DeepCriticalLearning
Deep Critical Learning. Implementation of ProSelfLC, IMAE, DM, etc.
blaxe05/DOSMA
An AI-powered open-source medical image analysis toolbox
blaxe05/FIPS
The Fatigue Impairment Prediction Suite. An R package for running biomathematical models of fatigue.
blaxe05/Mask2Former
Code release for "Masked-attention Mask Transformer for Universal Image Segmentation"
blaxe05/MEDIUM_NoteBook
Repository containing notebooks of my posts on Medium
blaxe05/MESS
Fitting code for the Multiple-Echo Steady-State MRI sequence
blaxe05/mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
blaxe05/multi_objective_optimisation
Material for learning and practicing the technique of multi-objective optimisation
blaxe05/multiscale-adversarial-attention-gates
Code for the paper: Valvano G. et al. (2021), Learning to Segment from Scribbles using Multi-scale Adversarial Attention Gates
blaxe05/nnFormer
blaxe05/PVLCOE
blaxe05/python-cheatsheet
Comprehensive Python Cheatsheet
blaxe05/qMRLab
Quantitative MRI Made Easy with qMRLab: MRI software for data Simulation, analysis and visualization
blaxe05/segtran
Medical Image Segmentation using Squeeze-and-Expansion Transformers
blaxe05/skm-tea
Repository for the Stanford Knee MRI Multi-Task Evaluation (SKM-TEA) Dataset
blaxe05/SlicerDentalModelSeg
This extension aims to provide a GUI for a deep-learning automated teeth segmentation tool that we developed at the University of North Carolina in Chapel Hill.
blaxe05/Slim-UNETR
An Efficient, High-Quality 3D Segmentation for Medical Image Analysis with Constrained Computational Resources
blaxe05/SubchondralBoneLength
Subchondral bone length in knee osteoarthritis: A deep learning driven imaging measure and its association with radiographic and clinical outcomes
blaxe05/tabnet
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
blaxe05/Transformer-in-Vision
Recent Transformer-based CV and related works.
blaxe05/Transformer_for_medical_image_analysis
A collection of papers about Transformer in the field of medical image analysis.
blaxe05/tutorials-2
MONAI Tutorials
blaxe05/vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch