brucejunlee / RMT_Theory_ApplicationsLinks
some important properties on random matrix theory and its applications in multiple areas
☆109Updated 7 years ago
Alternatives and similar repositories for RMT_Theory_Applications
Users that are interested in RMT_Theory_Applications are comparing it to the libraries listed below
Sorting:
- Matlab Notebook for visualizing random matrix theory results and their applications to machine learning☆126Updated 2 years ago
- Paper List For Linking ODE and Deep Learning☆246Updated 5 years ago
- ☆118Updated 7 years ago
- A python package of Zeroth-Order Optimization (ZOOpt)☆71Updated 2 years ago
- Summer course on mathematical theory of deep learning☆53Updated 6 years ago
- Riemannian stochastic optimization algorithms: Version 1.0.3☆64Updated 2 years ago
- Materials and syllabus for Cornell ORIE 7391, Faster: Algorithmic Ideas for Speeding Up Optimization☆25Updated 3 years ago
- Experiments with Neural ODEs and Adversarial Attacks☆45Updated 6 years ago
- ☆72Updated 5 years ago
- The collection of papers about combining deep learning and Bayesian nonparametrics☆121Updated 5 years ago
- code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"☆100Updated 6 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆171Updated 3 years ago
- Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.☆94Updated 2 months ago
- Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms☆280Updated 2 years ago
- Deep BSDE solver in TensorFlow☆277Updated 4 months ago
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆123Updated 8 months ago
- Random Matrix Theory library - RMT analysis and simulation in Python☆49Updated this week
- This repository contains experiments with Neural Ordinary Differential Equations with simulated and real empirical data☆199Updated 6 years ago
- Gumbel Graph Network (GGN) : A General Deep Learning Framework for Network Reconstruction☆70Updated 5 years ago
- jemdoc with MathJax support and more☆249Updated last year
- dlADMM: Deep Learning Optimization via Alternating Direction Method of Multipliers☆162Updated 2 years ago
- Proximal optimization in pure python☆118Updated 3 years ago
- Restricted Boltzmann Machines (RBMs) in PyTorch☆162Updated 7 years ago
- Applied Multivariate Statistical Analysis | PKU 2019 Fall☆89Updated 3 years ago
- Using Machine Learning to Predict Extreme Events in Complex Systems☆14Updated 5 years ago
- Code for random Fourier features based on Rahimi and Recht's 2007 paper.☆56Updated 4 years ago
- Adaptive gradient descent without descent☆48Updated 3 years ago
- Numerical Experiments☆15Updated 7 years ago
- Example codes for the book Applied Stochastic Differential Equations☆196Updated 4 years ago
- Lasso with ADMM in Python/MPI☆28Updated 9 years ago