mlss-skoltech / tutorials

Related projects ⓘ

Alternatives and complementary repositories for tutorials

• mlss-skoltech / lectures
  repository with the lectures for MLSS Skoltech
  ☆140Updated 5 years ago
• xgfs / imd
  Code for MSID, a Multi-Scale Intrinsic Distance for comparing generative models, studying neural networks, and more!
  ☆50Updated 5 years ago
• HolyBayes / pytorch_ard
  Pytorch implementation of Variational Dropout Sparsifies Deep Neural Networks
  ☆83Updated 2 years ago
• duvenaud / learn-discrete
  Graduate topics course on learning discrete latent structure.
  ☆66Updated 5 years ago
• PGM-Lab / probai-2021-pyro
  Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
  ☆47Updated 3 years ago
• deeppavlov / tdl
  Course "Theories of Deep Learning"
  ☆196Updated 5 years ago
• SebFar / radial_bnn
  Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
  ☆33Updated 4 years ago
• google-deepmind / mc_gradients
  ☆158Updated 3 months ago
• wjmaddox / drbayes
  Code Repo for "Subspace Inference for Bayesian Deep Learning"
  ☆80Updated 4 months ago
• abdulfatir / normalizing-flows
  Understanding normalizing flows
  ☆131Updated 4 years ago
• mlss-skoltech / tutorials_week2
  tutorials for MLSS 2019 Skoltech
  ☆56Updated 4 years ago
• aiwabdn / pygln
  Python implementation of GLN in different frameworks
  ☆95Updated 4 years ago
• OxML2020 / practicals
  ☆32Updated 4 years ago
• tmlss2018 / PracticalSessions
  ☆124Updated 6 years ago
• nicola-decao / BNAF
  Pytorch implementation of Block Neural Autoregressive Flow
  ☆175Updated 3 years ago
• ruqizhang / csgmcmc
  Cyclical Stochastic Gradient MCMC for Bayesian Deep Learning
  ☆91Updated 4 years ago
• plai-group / tvo
  Code for the Thermodynamic Variational Objective
  ☆26Updated 2 years ago
• ganguli-lab / deepchaos
  Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"
  ☆69Updated 8 years ago
• xingchenwan / MLRG_DeepCurvature
  ☆15Updated 4 years ago
• emtiyaz / vadam
  Code for ICML 2018 paper on "Fast and Scalable Bayesian Deep Learning by Weight-Perturbation in Adam" by Khan, Nielsen, Tangkaratt, Lin, …
  ☆110Updated 5 years ago
• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆122Updated 3 months ago
• g-benton / loss-surface-simplexes
  ☆97Updated 2 years ago
• scottgigante / m-phate
  Multislice PHATE for tensor embeddings
  ☆59Updated 3 years ago
• mblondel / fenchel-young-losses
  Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
  ☆183Updated last year
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆42Updated last year
• Alfo5123 / Variational-Sparse-Coding
  Reproducing the paper "Variational Sparse Coding" for the ICLR 2019 Reproducibility Challenge
  ☆60Updated last year
• g-benton / learning-invariances
  Codebase for Learning Invariances in Neural Networks
  ☆94Updated 2 years ago
• ericjang / nf-jax
  Normalizing Flows in Jax
  ☆105Updated 4 years ago
• agadetsky / pytorch-pl-variance-reduction
  [AAAI 2020 Oral] Low-variance Black-box Gradient Estimates for the Plackett-Luce Distribution
  ☆36Updated 3 years ago
• MichaelArbel / GeneralizedEBM
  ☆52Updated 3 months ago