joanbruna / MathsDL-spring19

Related projects ⓘ

Alternatives and complementary repositories for MathsDL-spring19

• joanbruna / MathsDL-spring18
  Topics course Mathematics of Deep Learning, NYU, Spring 18
  ☆538Updated last year
• ivannz / mlss2019-bayesian-deep-learning
  MLSS2019 Tutorial on Bayesian Deep Learning
  ☆90Updated 4 years ago
• abdulfatir / normalizing-flows
  Understanding normalizing flows
  ☆131Updated 4 years ago
• craffel / dl3d-seminar
  Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data
  ☆302Updated 4 years ago
• mlss-2019 / tutorials
  ☆274Updated 4 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆183Updated last year
• otokonoko8 / implicit-variational-inference
  The collection of recent papers about variational inference
  ☆84Updated 5 years ago
• otokonoko8 / deep-Bayesian-nonparametrics-papers
  The collection of papers about combining deep learning and Bayesian nonparametrics
  ☆118Updated 5 years ago
• ee227c / ee227c.github.io
  EE227C (Spring 2018) Course page
  ☆217Updated 3 years ago
• AlexiaJM / MaximumMarginGANs
  Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"
  ☆179Updated 4 years ago
• depthfirstlearning / depthfirstlearning.com
  ☆195Updated 3 months ago
• reproducibility-challenge / iclr_2019
  ICLR Reproducibility Challenge 2019
  ☆219Updated 5 years ago
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆182Updated 5 years ago
• mlss-2019 / slides
  ☆259Updated 5 years ago
• sangwoomo / ml-resources
  Personal and biased selection of ML resources
  ☆146Updated 4 years ago
• amarasovic / interpretability-literature
  ☆264Updated 4 years ago
• xbresson / CE7454_2019
  Deep learning course CE7454, 2019
  ☆189Updated 5 years ago
• bamos / thesis
  Differentiable Optimization-Based Modeling for Machine Learning
  ☆326Updated 5 years ago
• google-deepmind / mc_gradients
  ☆159Updated 3 months ago
• pukkapies / dl-imperial-maths
  Code and assignment repository for the Imperial College Mathematics department Deep Learning course
  ☆262Updated 5 years ago
• probabilisticai / probai-2019
  Materials of the Nordic Probabilistic AI School 2019.
  ☆130Updated 4 years ago
• duvenaud / learn-discrete
  Graduate topics course on learning discrete latent structure.
  ☆66Updated 5 years ago
• napsternxg / pytorch-practice
  Some example scripts on pytorch
  ☆197Updated 3 years ago
• tmlss2018 / PracticalSessions
  ☆124Updated 6 years ago
• AndreasMadsen / stable-nalu
  Code for Neural Arithmetic Units (ICLR) and Measuring Arithmetic Extrapolation Performance (SEDL|NeurIPS)
  ☆145Updated 3 years ago
• fwcore / mean-field-theory-deep-learning
  paper lists and information on mean-field theory of deep learning
  ☆75Updated 5 years ago
• dobriban / Topics-in-deep-learning
  Materials for class on topics in deep learning (STAT 991, UPenn/Wharton)
  ☆94Updated last year
• gbaydin / hypergradient-descent
  Hypergradient descent
  ☆138Updated 5 months ago