adigasu
Ph.D. Student at ETS Montreal. Interested in Machine Learning, Computer Vision, and Medical Image Analysis.
ETS MontrealMontreal, Canada
adigasu's Stars
ossu/computer-science
🎓 Path to a free self-taught education in Computer Science!
yunjey/pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
microsoft/Data-Science-For-Beginners
10 Weeks, 20 Lessons, Data Science for All!
jbhuang0604/awesome-computer-vision
A curated list of awesome computer vision resources
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
dair-ai/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
jacobgil/pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
ahmedbahaaeldin/From-0-to-Research-Scientist-resources-guide
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
ChristianLempa/boilerplates
This is my personal template collection. Here you'll find templates, and configurations for various tools, and technologies.
facebookincubator/AITemplate
AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.
ChristianLempa/cheat-sheets
This is my personal knowledge-base. Here you'll find code-snippets, technical documentation, and command reference for various tools, and technologies.
jonbarron/website
HiLab-git/SSL4MIS
Semi Supervised Learning for Medical Image Segmentation, a collection of literature reviews and code implementations.
yassouali/awesome-semi-supervised-learning
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
photosynthesis-team/piq
Measures and metrics for image2image tasks. PyTorch.
kennethleungty/Failed-ML
Compilation of high-profile real-world examples of failed machine learning projects
Nachimak28/awesome-list-of-awesomes
A curated list of all the Awesome --Topic Name-- lists I've found till date relevant to Data lifecycle, ML and DL.
JunMa11/MedUncertainty
Uncertainty in Medical Image Analysis
leonidk/leonidk.github.io
a fork of https://jonbarron.info/ for use in jekyll builds with markdown page updates
ZJULearning/RMI
This is the code for the NeurIPS 2019 paper Region Mutual Information Loss for Semantic Segmentation.
taigw/GeodisTK
geodesic distance transform of 2d/3d images
masadcv/FastGeodis
Fast Implementation of Generalised Geodesic Distance Transform for CPU (OpenMP) and GPU (CUDA)
NA-MIC/ProjectWeek
Website for NA-MIC Project Weeks
xmed-lab/CLD-Semi
MICCAI 2022: Calibrating Label Distribution for Class-Imbalanced Barely-Supervised Knee Segmentation
Hsuxu/Paper-Notes
Paper notes in deep learning/machine learning and computer vision
DeepMedLab/Tri-U-MT
kimvwijnen/geodesic_distance_transform
(Geodesic) Distance Transform following Toivanen et al (1996)
HKervadec/segmentation_viewer
A really simple tool to visualize different segmentation results
Bala93/MarginLoss
adigasu/Labeling_Representations
Leveraging Labeling Representations in Uncertainty-based Semi-supervised Segmentation