Alternatives and similar repositories for learnergy:

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

• pronobis / libspn-keras
  Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras
  ☆47Updated 3 years ago
• willieneis / bayesian-algorithm-execution
  Bayesian algorithm execution (BAX)
  ☆49Updated 3 years ago
• CUAI / Neural-Manifold-Ordinary-Differential-Equations
  [NeurIPS 2020] Neural Manifold Ordinary Differential Equations (https://arxiv.org/abs/2006.10254)
  ☆115Updated last year
• TorchUQ / torchuq
  A library for uncertainty quantification based on PyTorch
  ☆121Updated 3 years ago
• ExpectationMax / sklearn-jax-kernels
  Composable kernels for scikit-learn implemented in JAX.
  ☆42Updated 4 years ago
• crowsonkb / mdmm
  The Modified Differential Multiplier Method (MDMM) for PyTorch
  ☆56Updated 3 years ago
• RobertTLange / code-and-blog
  Some small scale experiments for my blog posts 📝
  ☆79Updated 2 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆82Updated last year
• AlCorreia / GeFs
  Generative Forests in Python
  ☆34Updated last year
• mcbal / deep-implicit-attention
  Implementation of deep implicit attention in PyTorch
  ☆64Updated 3 years ago
• QUVA-Lab / COMBO
  ☆48Updated 6 months ago
• hyeon95y / SparseLinear
  A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently
  ☆49Updated last year
• nvecoven / BRC
  A repository containing the code for the Bistable Recurrent Cell
  ☆47Updated 4 years ago
• akandykeller / NeuralWaveMachines
  Official Implementation of the ICML 2023 paper: "Neural Wave Machines: Learning Spatiotemporally Structured Representations with Locally …
  ☆69Updated last year
• mhlr / awesome-jax
  List of awesome JAX resources
  ☆13Updated 2 years ago
• facebookresearch / rcpm
  Riemannian Convex Potential Maps
  ☆67Updated last year
• akbir / deq-jax
  [NeurIPS'19] Deep Equilibrium Models Jax Implementation
  ☆39Updated 4 years ago
• SymJAX / SymJAX
  Documentation:
  ☆119Updated last year
• gerdm / bayes
  Neat Bayesian machine learning examples
  ☆54Updated last month
• shreyansh26 / ML-Optimizers-JAX
  Toy implementations of some popular ML optimizers using Python/JAX
  ☆44Updated 3 years ago
• Felix-Petersen / algovision
  Differentiable Algorithms and Algorithmic Supervision.
  ☆112Updated last year
• cunningham-lab / cb_and_cc
  ☆36Updated 2 years ago
• patrick-kidger / FasterNeuralDiffEq
  Code for "'Hey, that's not an ODE:' Faster ODE Adjoints via Seminorms" (ICML 2021)
  ☆86Updated 2 years ago
• karalets / TyXe
  Library for Bayesian Neural Networks in PyTorch (first version as published in ProbProg2020)
  ☆42Updated 3 years ago
• henripal / sgld
  ☆59Updated 6 years ago
• CW-Huang / CP-Flow
  Convex potential flows
  ☆82Updated 3 years ago
• james-simon / eigenlearning
  codebase for "A Theory of the Inductive Bias and Generalization of Kernel Regression and Wide Neural Networks"
  ☆50Updated last year
• n2cholas / jax-resnet
  Implementations and checkpoints for ResNet, Wide ResNet, ResNeXt, ResNet-D, and ResNeSt in JAX (Flax).
  ☆107Updated 2 years ago
• arranger1044 / probabilistic-circuits
  A curated collection of papers on probabilistic circuits, computational graphs encoding tractable probability distributions.
  ☆49Updated last year
• lezcano / expm
  Differentiable and numerically stable implementation of the matrix exponential
  ☆32Updated 4 years ago