Mohammed Kamran's repositories
CV2-Multiple-View-Geometry
Computer Vision course at Technical University of Munich
Deeplearning.ai-Specialization
5 courses of Specialization in Deep Learning taught by Prof.Andrew Ng on Coursera
CS231n-Andrej_Karpathy_Stanford
Convolutional Neural Networks for Visual Recognition Course http://kamranisg.github.io/CS231n-Andrej_Karpathy_Stanford/
cs231n.github.io
Public facing notes page
Deep_Learning_Hub
Explore exciting Projects on Deep learning in this repository
Digits-Predictor-using-Scikit-Learn
Evaluating 6 ML models to predict digits accurately
Machine_Learning_Hub
Explore Machine Learning Projects
SupCon_Pretrain
Pre-training for localised tasks on Medical Chest-rays
Support_Vector_Machine
Two Approaches to build a Machine Learning Classifier from scratch.
awesome-phd-advice
Collection of advice for prospective and current PhD students
awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
awesome-transformers-in-medical-imaging
A collection of resources on applications of Transformers in Medical Imaging.
feeling-responsive
»Feeling Responsive« is a free flexible theme for Jekyll built on Foundation framework. You can use it for your company site, as a portfolio or as a blog.
Graph-CLIP
A joint pre training framework of Radgraphs and Chest Radiographs of MIMIC-CXR medical dataset
infosecravindra.github.io
Ravindra's Blog
jekyll-theme-basically-basic
Your new Jekyll default theme
kamranisg.github.io
Hello
lightning
Build and train PyTorch models and connect them to the ML lifecycle using Lightning App templates, without handling DIY infrastructure, cost management, scaling, and other headaches.
minima
Minima is a one-size-fits-all Jekyll theme for writers.
My-Kaggle-Kernels
Find my Kaggle Kernels in this repository
StudyBook
Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)