Alternatives and similar repositories for MATH-525

Users that are interested in MATH-525 are comparing it to the libraries listed below

• mikinty / Understanding-Analysis-Abbott-Solutions
  Unofficial solutions to Understanding Analysis by Stephen Abbott (1st Edition)
  ☆112Updated last year
• ccanonne / probabilitydistributiontoolbox
  Folklore facts on probability distribution learning, testing, and whatever-ing
  ☆261Updated 3 months ago
• kjytay / stanford-stats
  My notes from class
  ☆69Updated 7 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 years ago
• rfeinman / pyBPL
  Python implementation of Bayesian Program Learning tools (with PyTorch)
  ☆72Updated 3 years ago
• kevinzakka / learn-linalg
  Learning some numerical linear algebra.
  ☆70Updated 4 years ago
• ericjang / nf-jax
  Normalizing Flows in Jax
  ☆108Updated 4 years ago
• ievron / RegularizationAnimation
  ☆11Updated 3 years ago
• modestyachts / neural_kernels_code
  ☆36Updated 3 years ago
• aterenin / phdthesis
  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  ☆199Updated 3 years ago
• google-deepmind / mc_gradients
  ☆168Updated 10 months ago
• tyleryzhu / course-notes
  Source code for most of my course notes
  ☆20Updated 4 years ago
• wiseodd / wiseodd.github.io
  Agustinus‘ personal website and blog
  ☆39Updated 2 weeks ago
• jachiam / optimization-notes
  Review notes for EE127/227A, based on the Spring 2017 iteration of the course.
  ☆20Updated 7 years ago
• pomonam / NoisyNaturalGradient
  TensorFlow implementation of "noisy K-FAC" and "noisy EK-FAC".
  ☆60Updated 6 years ago
• brendenlake / CC-site
  Psych-GA.2207 Categories and Concepts
  ☆16Updated last year
• howesa / corati_home
  A collection of user models and parameter estimation methods.
  ☆22Updated 2 years ago
• iiittheorygroup / iiittheorygroup.github.io
  "We must know. We shall know." - David Hilbert
  ☆21Updated 4 months ago
• gbaydin / oxford-poster
  LaTeX beamer poster template themed for the University of Oxford
  ☆72Updated 2 years ago
• slinderman / stats215
  ☆29Updated 5 years ago
• jessexknight / ut-thesis
  University of Toronto thesis class for LaTeX
  ☆76Updated 11 months ago
• abdulfatir / normalizing-flows
  Understanding normalizing flows
  ☆132Updated 5 years ago
• y0ast / slurm-for-ml
  A Machine Learning workflow for Slurm.
  ☆149Updated 4 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆95Updated 2 years ago
• umasscs / umassthesis
  Unofficial UMass thesis style files for use with LaTeX
  ☆64Updated last year
• fwcore / mean-field-theory-deep-learning
  paper lists and information on mean-field theory of deep learning
  ☆78Updated 6 years ago
• distillpub / post--visual-exploration-gaussian-processes
  A Visual Exploration of Gaussian Processes
  ☆102Updated 2 years ago
• mlysy / rodeo-legacy
  Probabilistic Solution of Differential Equations
  ☆13Updated 3 years ago
• talesa / amci
  Amortized Monte Carlo Integration
  ☆15Updated 5 years ago
• AnimeshSinha1309 / research-notes
  All things done for IIIT research.
  ☆10Updated 4 years ago