lucmos / DLAI-s2-2020-tutorials

Related projects ⓘ

Alternatives and complementary repositories for DLAI-s2-2020-tutorials

• michelemancusi / LQVAE-separation
  ☆44Updated 2 years ago
• aleatory-science / deep-probprog-course
  Deep Probabilistic Programming Course @ DIKU
  ☆56Updated 4 years ago
• mwv / zca
  ZCA whitening in python
  ☆32Updated 5 years ago
• djordjemila / sdn
  Official PyTorch implementation of Spatial Dependency Networks.
  ☆35Updated 3 years ago
• unixpickle / ddim
  Denoising Diffusion Implicit Models
  ☆28Updated 3 years ago
• martinmamql / relative_predictive_coding
  Project page for paper Self-supervised Representation Learning with Relative Predictive Coding
  ☆17Updated 3 years ago
• raamana / kernelmethods
  Foundational library for Kernel methods in pattern analysis and machine learning
  ☆41Updated last year
• timsainb / AVGN
  A generative network for animal vocalizations. For dimensionality reduction, sequencing, clustering, corpus-building, and generating nove…
  ☆69Updated last year
• gmishne / DiffusionNet
  Diffusion Net TensorFlow implementation
  ☆11Updated 7 years ago
• t-vi / acdl2020
  ☆35Updated 4 years ago
• Flegyas / latentis
  A Python package for analyzing and transforming neural latent spaces.
  ☆42Updated last week
• jthickstun / basis-separation
  Implementation of the BASIS algorithm for source separation with deep generative priors
  ☆37Updated last year
• Wizaron / binary-stochastic-neurons
  Binary Stochastic Neurons in PyTorch
  ☆56Updated 6 years ago
• neuroailab / Neural-Alignment
  ☆23Updated 4 years ago
• aalto-ics-kepaco / cca-tutorial
  Worked examples
  ☆15Updated 6 years ago
• akandykeller / TopographicVAE
  Official implementation of the paper "Topographic VAEs learn Equivariant Capsules"
  ☆77Updated 2 years ago
• bayesiains / reading-group
  ☆18Updated 4 years ago
• munkai / pytorch-tutorial
  Deep learning and natural language processing tutorial in PyTorch
  ☆21Updated 6 years ago
• eugenet12 / pytorch-rbm-autoencoder
  Pytorch implementation of an autoencoder built from pre-trained Restricted Boltzmann Machines (RBMs)
  ☆23Updated 3 years ago
• varun-ml / diffusion-models-tutorial
  Experiment with diffusion models that you can run on your local jupyter instances
  ☆55Updated 3 weeks ago
• j-towns / vdvae-jax
  Very deep VAEs in JAX/Flax
  ☆45Updated 3 years ago
• Popgun-Labs / PopGen
  A generative modelling toolkit for PyTorch.
  ☆70Updated 3 years ago
• titicaca / GP-Clustering
  Clustering with Gaussian Process Models
  ☆18Updated 5 years ago
• SkafteNicki / libcpab
  CPAB Transformations: finite-dimensional spaces of simple, fast, and highly-expressive diffeomorphisms derived from parametric, continuou…
  ☆48Updated 3 years ago
• duvenaud / learn-discrete
  Graduate topics course on learning discrete latent structure.
  ☆66Updated 5 years ago
• recursionpharma / rxrx1-utils
  Starter code for the CellSignal NeurIPS 2019 competition.
  ☆45Updated 3 months ago
• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 3 years ago
• mducoffe / Learning-Wasserstein-Embeddings
  Keras implementation of Deep Wasserstein Embeddings
  ☆46Updated 6 years ago