Highly Technical Reference Pages - Aggregators

This series of links points to pages that are technically advanced and are generally curated by specialists in fast evolving areas (reviews and overviews can be found under this Overviews tag)

• The Awesome Implicit Neural Representations page, Vincent Sitzmann 
• Deep Learning based compressive sensing, Thuong Nguyen Canh
• Neural Networks in Silicon, Fengbin Tu
• The GAN Zoo by Avinash Hindupur 
• Delving deep into Generative Adversarial Networks (GANs) by Grigorios Kalliatakis
• The Incredible PyTorch by Ritchie Ng
• Awesome Reinforcement Learning by Hyunsoo Kim, Jiwon Kim
• Awesome Deep Vision by Jiwon Kim, Heesoo Myeong, Myungsub Choi, Jung Kwon Lee, Taeksoo Kim
• Awesome Recurrent Neural Networks by Myungsub Choi, Jiwon Kim, Taeksoo Kim  
• The Awesome Random Forest page by Jiwon Kim and Jung Kwon Lee
• The current state of the art in objects classification maintained by Rodrigo Benenson. 
• Laplacian Linear Equations, Graph Sparsification, Local Clustering, Low-Stretch Trees, etc. by Dan Spielman
• Big list of Deep Learning toolkits by  Kyle McDonald.
• Randomized Numerical Linear Algebra for Large Scale Data Analysis
• List of Open Problems in Sublinear Algorithms 
• Superlinear Indexes maintained by the following people
• Count-Min Sketches and Applications: maintained by Muthu Muthukrishnan and Andrew McGregor
• Resource of Quantization maintained by Petros Boufounos
• 1 bit Compressive Sensing maintained by Jason Laska (Rice)
• The Compressive Sensing Resource at Rice University maintained by the group of Rich Baraniuk
• Compressive Sensing: The Big Picture maintained by Igor Carron
• Advanced Matrix Factorization Jungle maintained by Igor Carron
• The sparse- and low-rank solver wiki: maintained by Stephen Becker
• Nonlinear Compressive Sensing by Yonina Eldar, Allen Yang, Roy Dong and Henrik Ohlsson
• The LASSO page by Rob Tibshirani 
• Recommender Systems: wiki maintained by anyone who wishes to contribute
• Submodularity maintained by Andreas Krause and Carlos Guestrin
• Deep Learning
• WIKIMIZATION, a repository and resource for all things Optimization. by Jon Dattorro
• History of Approximation Theory (HAT) by Carl de Boor, Kirill Kopotun and Allan Pinkus
• AdExchange by Muthu Muthukrishnan 
• Fast Multipole Methods maintained by Jun Jia, Bo Zhang, and Jingfang Huang
• The Gaussian Processes Web Site maintained by Carl Edward Rasmussen
• Kernel Machines maintained by Alex Smola or Bernhard Schölkopf
• The Superiorization Methodology and Perturbation Resilience of Algorithms page by Yair Censor  
• Probabilistic-Programming.org  a wiki by Daniel Roy.    

The idea for this list came from reading about Muthu's effort
.