Alternatives and similar repositories for mphil-intro-module

Users that are interested in mphil-intro-module are comparing it to the libraries listed below

• baegwangbin / MLMI
  MPhil Machine Learning and Machine Intelligence @ University of Cambridge
  ☆49Updated 6 years ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆90Updated last year
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆181Updated 2 years ago
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆515Updated 3 months ago
• rbardenet / bml-course
  Public repo for course material on Bayesian machine learning at ENS Paris-Saclay and Univ Lille
  ☆88Updated 5 months ago
• team-approx-bayes / ivon
  IVON optimizer for neural networks based on variational learning.
  ☆70Updated 9 months ago
• wiseodd / pub-ready-plots
  Agustinus' very opiniated publication-ready plotting library
  ☆67Updated 3 months ago
• baumgach / tue-slurm-helloworld
  Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container
  ☆33Updated 2 years ago
• PGM-Lab / 2023-ProbAI
  Repo for the Tutorials of Day1-Day2 of the Nordic Probabilistic AI School 2023
  ☆17Updated 2 years ago
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆308Updated last month
• konstantinos-p / Bayesian-Neural-Networks-Reading-List
  A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesi…
  ☆54Updated last year
• AdamCobb / hamiltorch
  PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks
  ☆456Updated 11 months ago
• YannDubs / Neural-Process-Family
  Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
  ☆223Updated last year
• izmailovpavel / understandingbdl
  ☆241Updated 2 years ago
• f-dangel / curvlinops
  PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)
  ☆40Updated 3 months ago
• TyXe-BDL / TyXe
  ☆151Updated 2 years ago
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆367Updated 3 months ago
• VectorInstitute / vbll
  Simple (and cheap!) neural network uncertainty estimation
  ☆68Updated 2 months ago
• automl / TransformersCanDoBayesianInference
  Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
  ☆223Updated 9 months ago
• eemlcommunity / PracticalSessions2022
  Hands-on tutorials at EEML2022 summer school
  ☆63Updated 3 years ago
• google-deepmind / enn
  ☆312Updated 5 months ago
• philipphennig / NumericsOfML
  Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen
  ☆210Updated last year
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• y0ast / slurm-for-ml
  A Machine Learning workflow for Slurm.
  ☆150Updated 4 years ago
• fbickfordsmith / epig
  Bayesian active learning with EPIG data acquisition
  ☆33Updated 3 months ago
• alexglyndavies / 4M24
  ☆32Updated 3 years ago
• LukasRinder / normalizing-flows
  Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
  ☆147Updated 3 weeks ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆77Updated 4 years ago
• alisiahkoohi / Langevin-dynamics
  Sampling with gradient-based Markov Chain Monte Carlo approaches
  ☆107Updated last year
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆130Updated 2 years ago