Abdurahman Ali Mohammed's repositories
abdumhmd
Config files for my GitHub profile.
abdumhmd.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
Awesome-explainable-AI
A collection of research materials on explainable AI/ML
awesome-phd-advice
Collection of advice for prospective and current PhD students
Basic-Programs-Python
Simple programs for reference, a good place to start contributing
CellViT
CellViT: Vision Transformers for Precise Cell Segmentation and Classification
CSRNet
A PyTorch Lightning implementation of CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
DM-Count
Code for NeurIPS 2020 paper: Distribution Matching for Crowd Counting.
ExPeRT_Code
Code of the WCAV paper: Prototype Learning for Explainable Brain Age Prediction
For-Google-Interview
All materials related to my preparation for the 1st and 2nd round interviews as Machine Learning Software Engineer (Search Product) at Google Tokyo.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
IDCIA
Source Code for baseline experiments on the IDCIA dataset
ImageSegmentationPL
My Frame work for Image Semantic Segmentation with pytorch Lightning + Albumentations
Introduction-to-TensorFlow-for-Artificial-Intelligence-Machine-Learning-and-Deep-Learning
A repository for a Coursera course on TensorFlow
introtodeeplearning
Lab Materials for MIT 6.S191: Introduction to Deep Learning
Learning-From-Data-A-Short-Course
Solutions to the exercises and problems in the book: Learn From Data_A Short Course by Yaser Abu-Mostafa, Malik Magdon-Ismail and Hsuan-Tien Lin
Linear-Algebra-and-Learning-from-Data
Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT
machinelearning
COM S 573 - Machine Learning course contents.
ML-Notebooks
:fire: A series of code examples for all sorts of machine learning tasks and applications.
msn
Masked Siamese Networks for Label-Efficient Learning (https://arxiv.org/abs/2204.07141)
NeurIPS-CellSeg
Naive baseline for microscopy image segmentation challenge in NeurIPS 2022
otdd
Optimal Transport Dataset Distance
pytorch_active_learning
PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book
segmentation_models.pytorch
Segmentation models with pretrained backbones. PyTorch.
Shortest-Flight-Python
Application of Djikstra's shortest path algorithm to find shortest flights between two points.
SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
useful-computer-vision-phd-resources
Lists of resources useful for my PhD in computer vision