Alternatives and similar repositories for practicals

Users that are interested in practicals are comparing it to the libraries listed below

• PGM-Lab / probai-2021-pyro
  Repo for the Tutorials of Day1-Day3 of the Nordic Probabilistic AI School 2021 (https://probabilistic.ai/)
  ☆48Updated 3 years ago
• jxbz / madam
  👩 Pytorch and Jax code for the Madam optimiser.
  ☆51Updated 4 years ago
• hardmaru / mdn_jax_tutorial
  Mixture Density Networks (Bishop, 1994) tutorial in JAX
  ☆59Updated 5 years ago
• KarenUllrich / binary-VAE
  A minimal implementation of a VAE with BinConcrete (relaxed Bernoulli) latent distribution in TensorFlow.
  ☆22Updated 5 years ago
• xingchenwan / MLRG_DeepCurvature
  ☆15Updated 5 years ago
• MichaelArbel / GeneralizedEBM
  ☆53Updated 10 months ago
• g-benton / learning-invariances
  Codebase for Learning Invariances in Neural Networks
  ☆95Updated 2 years ago
• henripal / sgld
  ☆59Updated 6 years ago
• fsschneider / DeepOBS
  DeepOBS: A Deep Learning Optimizer Benchmark Suite
  ☆106Updated last year
• 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
• scottgigante / m-phate
  Multislice PHATE for tensor embeddings
  ☆59Updated 4 years ago
• g-benton / loss-surface-simplexes
  ☆99Updated 3 years ago
• ermongroup / BiasAndGeneralization
  ☆26Updated 6 years ago
• andreeadeac22 / Mila-Graph-Reading-Group
  Weekly reading group on Graph Representation Learning at Mila
  ☆18Updated 5 years ago
• dhuynh95 / fastai_bayesian
  Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.
  ☆35Updated 3 years ago
• uber-research / Synthetic-Petri-Dish
  ☆42Updated 5 years ago
• y0ast / slurm-for-ml
  A Machine Learning workflow for Slurm.
  ☆149Updated 4 years ago
• CalculatedContent / ImplicitSelfRegularization
  Repo to accompany paper "Implicit Self-Regularization in Deep Neural Networks..."
  ☆44Updated 6 years ago
• mlss-skoltech / tutorials
  repository with the tutorials for MLSS Skoltech
  ☆66Updated 5 years ago
• uber-research / loss-change-allocation
  ☆61Updated 2 years ago
• wjmaddox / drbayes
  Code Repo for "Subspace Inference for Bayesian Deep Learning"
  ☆82Updated 11 months ago
• g-benton / hessian-eff-dim
  Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited
  ☆37Updated 2 years ago
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• jxbz / fromage
  🧀 Pytorch code for the Fromage optimiser.
  ☆124Updated 10 months ago
• AllanYangZhou / metalearning-symmetries
  Experiments for Meta-Learning Symmetries by Reparameterization
  ☆56Updated 4 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated 2 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, …
  ☆113Updated 6 years ago
• ayulockin / LossLandscape
  Explores the ideas presented in Deep Ensembles: A Loss Landscape Perspective (https://arxiv.org/abs/1912.02757) by Stanislav Fort, Huiyi …
  ☆65Updated 4 years ago
• adrianjav / heterogeneous_vaes
  Pytorch implementation of VAEs for heterogeneous likelihoods.
  ☆42Updated 2 years ago
• ml-research / pau
  Padé Activation Units: End-to-end Learning of Activation Functions in Deep Neural Network
  ☆64Updated 4 years ago