Alternatives and similar repositories for info8004-advanced-machine-learning:

Users that are interested in info8004-advanced-machine-learning are comparing it to the libraries listed below

• probml / bandits
  Bayesian Bandits
  ☆67Updated last year
• glouppe / info8002-large-scale-data-systems
  Lectures for INFO8002 - Large-scale Data Systems, ULiège
  ☆64Updated 2 years ago
• glouppe / dats0001-foundations-of-data-science
  Materials for DATS0001 Foundations of Data Science, ULiège
  ☆40Updated 3 months ago
• probml / probml-notebooks
  Notebooks for "Probabilistic Machine Learning" book
  ☆202Updated 2 years ago
• pyprob / pyprob
  A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch
  ☆391Updated 9 months ago
• chrisorm / pydata-2018
  ☆64Updated 6 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆275Updated 5 years ago
• JeanKossaifi / caltech-tutorial
  Material for my Caltech tutorial on deep learning and tensor methods
  ☆70Updated 6 years ago
• uvadlc / uvadlc_practicals_2018
  Lab assignments for the Deep Learning course at the University of Amsterdam
  ☆20Updated 6 years ago
• ritchieng / eigenvectors-from-eigenvalues
  PyTorch implementation comparison of old and new method of determining eigenvectors from eigenvalues.
  ☆99Updated 3 years ago
• probabilisticai / probai-2019
  Materials of the Nordic Probabilistic AI School 2019.
  ☆129Updated 4 years ago
• mlss-2019 / tutorials
  ☆274Updated 4 years ago
• tensorchiefs / dl_book
  legend
  ☆199Updated last year
• leopd / geometric-intuition
  Understanding ML and deep learning through geometry
  ☆157Updated 3 years ago
• hse-aml / bayesian-methods-for-ml
  Materials for "Bayesian Methods for Machine Learning" Coursera MOOC
  ☆133Updated 4 years ago
• cranmer / stats-ds-book
  http://cranmer.github.io/stats-ds-book
  ☆69Updated 4 years ago
• mblondel / teaching
  ☆85Updated 4 years ago
• canyon289 / bayesian-model-evaluation
  Presented at Scipy Conference 2019
  ☆125Updated 4 years ago
• pukkapies / dl-imperial-maths
  Code and assignment repository for the Imperial College Mathematics department Deep Learning course
  ☆263Updated 5 years ago
• yandexdataschool / mlhep2019
  MLHEP'19 slides and notebooks
  ☆46Updated 5 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆95Updated 2 years ago
• duvenaud / learn-discrete
  Graduate topics course on learning discrete latent structure.
  ☆67Updated 6 years ago
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆183Updated 5 years ago
• pierreablin / autoptim
  Automatic differentiation + optimization
  ☆103Updated 5 years ago
• johannbrehmer / simulator-mining-example
  Code repository for the generalized Galton board example in the paper "Mining gold from implicit models to improve likelihood-free infere…
  ☆33Updated 5 years ago
• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆92Updated 5 years ago
• LucaAmbrogioni / Brancher
  A python library for stochastic variational inference and differentiable probabilistic programming
  ☆32Updated 5 years ago
• SummerSchoolMachineLearning / SMILES2020
  Repository with all material for SMILES, the Summer School of Machine Learning at Skoltech, taking place from the 16th to the 21st of Aug…
  ☆54Updated 4 years ago
• rishabhk108 / OptimizationML
  Material for my course: Optimization in Machine Learning
  ☆31Updated 3 years ago
• ksachdeva / rethinking-tensorflow-probability
  Statistical Rethinking (2nd Ed) with Tensorflow Probability
  ☆273Updated 3 years ago