Alternatives and similar repositories for deep-probprog-course

Users that are interested in deep-probprog-course are comparing it to the libraries listed below

• microsoft / bayesianize
  Bayesianize: A Bayesian neural network wrapper in pytorch
  ☆88Updated last year
• moskomule / anatome
  Ἀνατομή is a PyTorch library to analyze representation of neural networks
  ☆64Updated 3 weeks ago
• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆124Updated last year
• lucidrains / ESBN-pytorch
  Usable implementation of Emerging Symbol Binding Network (ESBN), in Pytorch
  ☆25Updated 4 years ago
• j-towns / vdvae-jax
  Very deep VAEs in JAX/Flax
  ☆46Updated 4 years ago
• nvecoven / BRC
  A repository containing the code for the Bistable Recurrent Cell
  ☆47Updated 4 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆60Updated 5 years ago
• michalwols / yann
  Yet Another Neural Network Library 🤔
  ☆27Updated 3 months ago
• SebFar / radial_bnn
  Code to accompany the paper Radial Bayesian Neural Networks: Beyond Discrete Support In Large-Scale Bayesian Deep Learning
  ☆33Updated 5 years ago
• shreyansh26 / ML-Optimizers-JAX
  Toy implementations of some popular ML optimizers using Python/JAX
  ☆44Updated 4 years ago
• gebob19 / introduction_to_normalizing_flows
  Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'
  ☆27Updated 4 years ago
• choidami / sst
  ☆49Updated 4 years ago
• peerdavid / layerwise-batch-entropy
  Layerwise Batch Entropy Regularization
  ☆23Updated 2 years ago
• jxbz / madam
  👩 Pytorch and Jax code for the Madam optimiser.
  ☆51Updated 4 years ago
• Popgun-Labs / PopGen
  A generative modelling toolkit for PyTorch.
  ☆70Updated 3 years ago
• mblondel / teaching
  ☆85Updated 4 years ago
• tk-rusch / LEM
  Official code for Long Expressive Memory (ICLR 2022, Spotlight)
  ☆70Updated 3 years ago
• MathInf / toroidal
  a lightweight transformer library for PyTorch
  ☆72Updated 3 years ago
• probabilisticai / probai-2019
  Materials of the Nordic Probabilistic AI School 2019.
  ☆130Updated 5 years ago
• jambo6 / neuralRDEs
  Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)
  ☆118Updated 4 years ago
• google-deepmind / neural_testbed
  ☆192Updated 3 weeks ago
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆48Updated 3 years ago
• TomFrederik / grokking
  Re-implementation of 'Grokking: Generalization beyond overfitting on small algorithmic datasets'
  ☆38Updated 3 years ago
• y0ast / pytorch-snippets
  Collection of snippets for PyTorch users
  ☆25Updated 3 years ago
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• tk-rusch / coRNN
  Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)
  ☆45Updated 3 years ago
• n2cholas / jax-resnet
  Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
  ☆112Updated 3 years ago
• tk-rusch / unicornn
  Official code for UnICORNN (ICML 2021)
  ☆27Updated 3 years ago
• g-benton / learning-invariances
  Codebase for Learning Invariances in Neural Networks
  ☆95Updated 2 years ago
• xflash96 / pybind11_package_example
  Example python package with pybind11 cpp extension
  ☆57Updated 4 years ago