Alternatives and similar repositories for RMT4ML

Users that are interested in RMT4ML are comparing it to the libraries listed below

• brucejunlee / RMT_Theory_Applications
  some important properties on random matrix theory and its applications in multiple areas
  ☆108Updated 7 years ago
• fbach2000 / Learning_Theory_from_First_Principles
  Python & Matlab code for the figures from the book "Learning Theory from First Principles" by Francis Bach
  ☆114Updated last year
• tengyuma / cs229m_notes
  ☆230Updated 2 years ago
• YinTat / optimizationbook
  ☆140Updated last month
• gwgundersen / random-fourier-features
  Code for random Fourier features based on Rahimi and Recht's 2007 paper.
  ☆55Updated 4 years ago
• RMT-TheoryAndPractice / RMT
  ☆118Updated 7 years ago
• DartML / Stein-Variational-Gradient-Descent
  code for the paper "Stein Variational Gradient Descent (SVGD): A General Purpose Bayesian Inference Algorithm"
  ☆100Updated 6 years ago
• xwinxu / bayeSDE
  Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"
  ☆170Updated 3 years ago
• leiwu0 / course.math_theory_nn
  Summer course on mathematical theory of deep learning
  ☆52Updated 5 years ago
• AaltoML / SDE
  Example codes for the book Applied Stochastic Differential Equations
  ☆194Updated 4 years ago
• udellgroup / orie7391
  Materials and syllabus for Cornell ORIE 7391, Faster: Algorithmic Ideas for Speeding Up Optimization
  ☆25Updated 3 years ago
• JmlrOrg / jmlr-style-file
  LaTeX style file for the Journal of Machine Learning Research
  ☆141Updated last year
• benchopt / benchmark_bilevel
  Benchmark for bi-level optimization solvers
  ☆46Updated last month
• bobby-he / Neural_Tangent_Kernel
  ☆67Updated 6 years ago
• tiskw / random-fourier-features
  Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model
  ☆101Updated 8 months ago
• niaohe / Convex-Optimization-Course
  Repository for my convex optimization course.
  ☆54Updated 4 years ago
• kjytay / stanford-stats
  My notes from class
  ☆69Updated 7 years ago
• AlejandroSantorum / scikit-rmt
  Random Matrix Theory library - RMT analysis and simulation in Python
  ☆48Updated last year
• niaohe / Big-Data-Optimization-Course
  Repository for my Big Data Optimization course
  ☆34Updated 4 years ago
• AWehenkel / UMNN
  Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…
  ☆121Updated 6 months ago
• LaurenceA / bayesfunc
  ☆15Updated 2 years ago
• nocotan / awesome-information-geometry
  About A collection of AWESOME things about information geometry Topics
  ☆164Updated last year
• udellgroup / orie7191
  Materials for ORIE 7191: Topics in Optimization for Machine Learning
  ☆44Updated 6 years ago
• 000Justin000 / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆60Updated 4 years ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆103Updated last year
• tgcsaba / GPSig
  Bayesian Learning from Sequential Data using Gaussian Processes with Signature Covariances
  ☆48Updated 2 years ago
• JeremiasKnoblauch / GVIPublic
  Demos for the paper Generalized Variational Inference (Knoblauch, Jewson & Damoulas, 2019)
  ☆20Updated 6 years ago
• daizhongxiang / Bayesian-Optimization-Meets-Bayesian-Optimal-Stopping
  Bayesian Optimization Meets Bayesian Optimal Stopping
  ☆32Updated 4 years ago
• VITA-Group / Open-L2O
  Open-L2O: A Comprehensive and Reproducible Benchmark for Learning to Optimize Algorithms
  ☆281Updated 2 years ago
• wotaoyin / LargeScaleBookSlides
  ☆24Updated 2 years ago