Alternatives and similar repositories for ImperialMScAIUtils

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

• afspies / gpu-monitor
  Fast asynchronous GPU monitoring tool across multiple machines through SSH
  ☆11Updated 9 months ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆308Updated 2 months ago
• kach / gradient-descent-the-ultimate-optimizer
  Code for our NeurIPS 2022 paper
  ☆369Updated 2 years ago
• f-dangel / backpack
  BackPACK - a backpropagation package built on top of PyTorch which efficiently computes quantities other than the gradient.
  ☆589Updated 8 months ago
• rbardenet / bml-course
  Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille
  ☆89Updated 6 months ago
• greydanus / mnist1d
  A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.
  ☆228Updated 10 months ago
• kazukiosawa / asdl
  ASDL: Automatic Second-order Differentiation Library for PyTorch
  ☆189Updated 8 months ago
• google-deepmind / jax_verify
  Neural network verification in JAX
  ☆145Updated 2 years ago
• thegregyang / GP4A
  Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…
  ☆246Updated 5 years ago
• gwgundersen / blog-theme
  Files needed to replicate my research blog
  ☆86Updated 10 months ago
• wilson-labs / cola
  Compositional Linear Algebra
  ☆490Updated last month
• logancyang / loss-landscape-anim
  Create animations for the optimization trajectory of neural nets
  ☆158Updated last year
• tfjgeorge / nngeometry
  {KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch
  ☆215Updated 2 months ago
• aterenin / phdthesis
  Gaussian Processes and Statistical Decision-making in Non-Euclidean Spaces
  ☆199Updated 3 years ago
• Sohl-Dickstein / fractal
  The boundary of neural network trainability is fractal
  ☆215Updated last year
• bamos / presentations
  ☆143Updated 3 months ago
• f-dangel / cockpit
  Cockpit: A Practical Debugging Tool for Training Deep Neural Networks
  ☆479Updated 3 years ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆90Updated last year
• yobibyte / prettyplots
  Design your own matplotlib stylefile interactively
  ☆216Updated 4 years ago
• google-deepmind / PGMax
  Loopy belief propagation for factor graphs on discrete variables in JAX
  ☆154Updated 10 months ago
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆41Updated last week
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆457Updated last year
• probabilisticai / probai-2021
  Materials of the Nordic Probabilistic AI School 2021.
  ☆93Updated 4 years ago
• google-research / ott
  ☆214Updated 3 years ago
• google-deepmind / mathematics_conjectures
  ☆377Updated 3 years ago
• ccanonne / probabilitydistributiontoolbox
  Folklore facts on probability distribution learning, testing, and whatever-ing
  ☆265Updated 2 weeks ago
• izmailovpavel / neurips_bdl_starter_kit
  ☆18Updated last year
• ott-jax / ott
  Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.
  ☆632Updated last week
• baegwangbin / MLMI
  MPhil Machine Learning and Machine Intelligence @ University of Cambridge
  ☆51Updated 6 years ago