Papers With Code - Latest state-of-the-art ML models with open-source code.
Connected Papers - Tool to explore paper networks for discovering research connections.
LabML.ai Neural Networks - Visualize and understand neural network architectures interactively.
DeepLearn.org - Learning hub for deep learning concepts and resources.
arXiv.org - Open-access archive for scholarly articles in various fields including ML/AI.
ML Reproducibility Challenge - Platform for reproducing machine learning papers.
DeepMind Research - DeepMind's AI research labs and papers.
OpenAI Research - Research projects and papers from OpenAI.
Stanford CS231n - Convolutional Neural Networks course from Stanford.
Stanford CS224n - NLP with Deep Learning from Stanford University.
Berkeley CS294 - Deep Reinforcement Learning course by UC Berkeley.
MIT Deep Learning for Self-Driving Cars - MIT course on deep learning applications for self-driving cars.
Coursera Machine Learning - Andrew Ng's foundational machine learning course.
deeplearning.ai - Deep learning specialization by Andrew Ng.
FastAI Course - Practical Deep Learning for Coders.