Alternatives and similar repositories for enn

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

• leopard-ai / betty
  Betty: an automatic differentiation library for generalized meta-learning and multilevel optimization
  ☆344Updated last year
• automl / TransformersCanDoBayesianInference
  Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper
  ☆244Updated last year
• google-deepmind / neural_testbed
  ☆192Updated 6 months ago
• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆311Updated 6 months ago
• google-deepmind / conformal_training
  This repository contains a Jax implementation of conformal training corresponding to the ICLR'22 paper "learning optimal conformal classi…
  ☆130Updated 3 years ago
• google-deepmind / jaxline
  ☆162Updated 2 years ago
• izmailovpavel / understandingbdl
  ☆251Updated 3 years ago
• microsoft / bayesianize
  Bayesianize: A Bayesian neural network wrapper in pytorch
  ☆90Updated last year
• facebookresearch / salina
  a Lightweight library for sequential learning agents, including reinforcement learning
  ☆431Updated 2 years ago
• uclnlp / torch-imle
  Implicit MLE: Backpropagating Through Discrete Exponential Family Distributions
  ☆259Updated 2 years ago
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆122Updated 3 years ago
• mle-infrastructure / mle-hyperopt
  Lightweight Hyperparameter Optimization 🚂
  ☆150Updated last year
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆181Updated 3 years ago
• google-deepmind / tf2jax
  ☆118Updated 2 weeks ago
• google-deepmind / distrax
  ☆612Updated 3 weeks ago
• probabilisticai / probai-2023
  Materials of the Nordic Probabilistic AI School 2023.
  ☆91Updated 2 years ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆150Updated last month
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆94Updated 3 years ago
• SirRob1997 / Crowded-Valley---Results
  This repository contains the results for the paper: "Descending through a Crowded Valley - Benchmarking Deep Learning Optimizers"
  ☆184Updated 4 years ago
• aleximmer / Laplace
  Laplace approximations for Deep Learning.
  ☆529Updated 8 months ago
• DarshanDeshpande / jax-models
  Unofficial JAX implementations of deep learning research papers
  ☆160Updated 3 years ago
• facebookresearch / nbm-spam
  Training and evaluating NBM and SPAM for interpretable machine learning.
  ☆78Updated 2 years ago
• lhnguyen102 / cuTAGI
  CUDA implementation of Tractable Approximate Gaussian Inference
  ☆44Updated 2 weeks ago
• nalexai / hyperlib
  Library that contains implementations of machine learning components in the hyperbolic space
  ☆144Updated last year
• VectorInstitute / vbll
  Simple (and cheap!) neural network uncertainty estimation
  ☆79Updated 2 months ago
• normal-computing / posteriors
  Uncertainty quantification with PyTorch
  ☆378Updated 2 months ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• bhoov / hamux
  Hierarchical Associative Memory User Experience
  ☆105Updated last month
• OATML / non-parametric-transformers
  Code for "Self-Attention Between Datapoints: Going Beyond Individual Input-Output Pairs in Deep Learning"
  ☆415Updated last year
• clemkoa / ntm
  Neural Turing Machines in pytorch
  ☆48Updated 4 years ago