Alternatives and similar repositories for eth-machine-learning-summary

Users that are interested in eth-machine-learning-summary are comparing it to the libraries listed below

• rmgarnett / cse515t
  Materials for Bayesian Methods in Machine Learning Course
  ☆90Updated this week
• ajcr / em-explanation
  Notebooks explaining the intuition behind the Expectation Maximisation algorithm
  ☆40Updated 6 years ago
• stevecheckoway / ucsddissertation
  LaTeX class file for writing dissertations at UC San Diego
  ☆107Updated 4 years ago
• clinicalml / dmm
  Deep Markov Models
  ☆132Updated 6 years ago
• clinicalml / structuredinference
  Structured Inference Networks for Nonlinear State Space Models
  ☆275Updated 8 years ago
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆184Updated 6 years ago
• slinderman / stats215
  ☆31Updated 5 years ago
• wiseodd / probabilistic-models
  Collection of probabilistic models and inference algorithms
  ☆240Updated 5 years ago
• mattjj / pybasicbayes
  ☆155Updated 6 years ago
• mattjj / pyslds
  ☆98Updated 7 years ago
• goodfeli / galatea
  This was my private research codebase during grad school. After graduation I made it all public
  ☆125Updated 6 years ago
• baccuslab / deep-retina
  deep-retina is a project to build a convolutional neural network that can predict retinal ganglion cell responses to natural stimuli with…
  ☆57Updated 2 years ago
• battlesnake / neural
  LATEX: TikZ package for drawing neural networks. Also available on CTAN at http://www.ctan.org/tex-archive/graphics/pgf/contrib/neuralne…
  ☆244Updated 4 years ago
• ctallec / pyvarinf
  Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch
  ☆361Updated 6 years ago
• MouseLand / stringer-pachitariu-et-al-2018b
  Responses of 10,000 neurons to 2,800 natural images
  ☆71Updated 6 years ago
• baccuslab / inferring-hidden-structure-retinal-circuits
  Data and example scripts used in the paper `Inferring hidden structure in multilayered neural circuits`
  ☆14Updated 4 years ago
• mmp2 / megaman
  megaman: Manifold Learning for Millions of Points
  ☆331Updated 2 years ago
• google-research / computation-thru-dynamics
  Understanding computation in artificial and biological recurrent networks through the lens of dynamical systems.
  ☆386Updated 4 years ago
• jordan-g / Segregated-Dendrite-Deep-Learning
  Deep learning in a spiking neural network using segregated dendrites.
  ☆84Updated 8 years ago
• dalab / lecture_cil_public
  Public repository for CIL
  ☆40Updated 4 years ago
• duvenaud / learn-discrete
  Graduate topics course on learning discrete latent structure.
  ☆67Updated 6 years ago
• neuroailab / cs375
  Course Repository for CS 375 (Large Scale Neural Network Modules for Neuroscience)
  ☆42Updated 6 months ago
• BiuBiuBiLL / NPEET_LNC
  local non-uniformity correction for mutual information estimation
  ☆71Updated 4 years ago
• ganguli-lab / deepchaos
  Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"
  ☆73Updated 9 years ago
• rmaestre / Mutual-Information
  In probability theory and information theory, the mutual information of two random variables is a quantity that measures the mutual depen…
  ☆80Updated 13 years ago
• danielkunin / Regularized-Linear-Autoencoders
  Loss Landscapes of Regularized Linear Autoencoders
  ☆146Updated 3 years ago
• joanbruna / MathsDL-spring19
  Mathematics of Deep Learning, Courant Insititute, Spring 19
  ☆278Updated 6 years ago
• bscellier / Towards-a-Biologically-Plausible-Backprop
  ☆115Updated last year
• dimenwarper / awesome-bayes
  List of resources for bayesian inference
  ☆157Updated 6 years ago
• robi56 / awesome-bayesian-deep-learning
  A curated list of resources dedicated to bayesian deep learning
  ☆417Updated 8 years ago