Zhenyu-LIAO / RMT4MLLinks
Matlab Notebook for visualizing random matrix theory results and their applications to machine learning
☆124Updated 2 years ago
Alternatives and similar repositories for RMT4ML
Users that are interested in RMT4ML are comparing it to the libraries listed below
Sorting:
- some important properties on random matrix theory and its applications in multiple areas☆109Updated 7 years ago
- ☆232Updated 2 years ago
- Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach☆118Updated last year
- ☆118Updated 7 years ago
- Materials and syllabus for Cornell ORIE 7391, Faster: Algorithmic Ideas for Speeding Up Optimization☆25Updated 3 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆100Updated 6 years ago
- Code for random Fourier features based on Rahimi and Recht's 2007 paper.☆56Updated 4 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- ☆67Updated 6 years ago
- Mutual information estimators and benchmark☆51Updated 6 months ago
- Example codes for the book Applied Stochastic Differential Equations☆195Updated 4 years ago
- ☆142Updated last month
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆61Updated 4 years ago
- Random Matrix Theory library - RMT analysis and simulation in Python☆48Updated last year
- My notes from class☆70Updated 7 years ago
- Neural Tangent Kernel Papers☆115Updated 6 months ago
- Summer course on mathematical theory of deep learning☆53Updated 6 years ago
- Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model☆101Updated 9 months ago
- Materials for ORIE 7191: Topics in Optimization for Machine Learning☆44Updated 6 years ago
- Repository for my Big Data Optimization course☆34Updated 4 years ago
- ☆39Updated 5 years ago
- A collection of papers and readings for non-convex optimization☆31Updated 6 years ago
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆107Updated last year
- Welcome to the Awesome Feature Learning in Deep Learning Thoery Reading Group! This repository serves as a collaborative platform for sch…☆189Updated 7 months ago
- Code for experiments in my blog post on the Neural Tangent Kernel: https://eigentales.com/NTK☆176Updated 5 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆121Updated 5 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆57Updated 4 years ago
- ☆15Updated 2 years ago
- paper lists and information on mean-field theory of deep learning☆78Updated 6 years ago
- Adaptive gradient descent without descent☆48Updated 3 years ago