📓 papers

Self-Supervised Learning

• A Simple Framework for Contrastive Learning of Visual Representations (SimCLR)
  
• Big Self-Supervised Models are Strong Semi-Supervised Learners (SimCLRv2)
  
• Positional Contrastive Learning for Volumetric Medical Image Segmentation
  
• Emerging Properties in Self-Supervised Vision Transformers (DINO)

Medical Computer Vision

• 3D Self-Supervised Methods for Medical Imaging
  

Deep Learning

• Distilling the Knowledge in a Neural Network
• Mask R-CNN
• Image-to-Image Translation: Methods and Applications
• Generative Adversarial Networks (GAN)
• Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks (CycleGAN)

Federated Learning

• Model-Contrastive Federated Learning
• Federated Optimization in Heterogeneous Networks

Graph Neural Networks

Machine Learning

• The Art of Linear Algebra
• CS229: Machine Learning

Books

• Practical MLOps
• The Hundred-Page Machine Learning Book

Some Popular Courses

Course List:

• Stanford CS229: Machine Learning
• Applied Machine Learning
• Machine Learning with Graphs (Stanford)
• Probabilistic Machine Learning
• Introduction to Deep Learning (MIT)
• Deep Learning: CS 182
• Deep Unsupervised Learning
• NYU Deep Learning SP21
• CMU Neural Networks for NLP
• Multilingual NLP
• Advanced NLP
• Deep Learning for Computer Vision
• Deep Reinforcement Learning
• Full Stack Deep Learning
• Python Data Science Handbook
• Machine Learning Glossary
• Deep Learning Drizzle
• Python Programming And Numerical Methods
• CS224n: Natural Language Processing with Deep Learning
• NYU Deep Learning Spring 2021 - NYU-DLSP21
• MultiModal Machine Learning

Books

• PaperSpaceBlog
• Distill

What's Next?

There are many plans to keep improving this collection. For instance, I will be sharing notes and better organizing individual lectures in a way that provides a bit of guidance for those that are getting started with machine learning