Alternatives and similar repositories for awesome-survey-papers:

Users that are interested in awesome-survey-papers are comparing it to the libraries listed below

• acids-ircam / pytorch_flows
  Implementation and tutorials of normalizing flows with the novel distributions module
  ☆164Updated 4 years ago
• georgiosarvanitidis / geometric_ml
  This repository contains code for applying Riemannian geometry in machine learning.
  ☆78Updated 3 years ago
• choidami / sst
  ☆49Updated 4 years ago
• shyamsn97 / hyper-nn
  Easy Hypernetworks in Pytorch and Jax
  ☆97Updated 2 years ago
• bayesiains / nsf
  Code for Neural Spline Flows paper
  ☆264Updated 4 years ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆45Updated 2 years ago
• sajadn / posterior-collapse-list
  A curated list of techniques to avoid posterior collapse
  ☆86Updated 2 years ago
• aleatory-science / deep-probprog-course
  Deep Probabilistic Programming Course @ DIKU
  ☆57Updated 4 years ago
• TrentBrick / PyTorchDiscreteFlows
  Discrete Normalizing Flows implemented in PyTorch
  ☆109Updated 3 years ago
• loeweX / ComplexAutoEncoder
  Code for the paper: Complex-Valued Autoencoders for Object Discovery
  ☆48Updated 2 years ago
• tristandeleu / jax-dag-gflownet
  Code for "Bayesian Structure Learning with Generative Flow Networks"
  ☆84Updated 2 years ago
• Information-Fusion-Lab-Umass / NuX
  Normalizing Flows using JAX
  ☆82Updated last year
• vlievin / biva-pytorch
  Official PyTorch BIVA implementation (BIVA: A Very Deep Hierarchy of Latent Variables for Generative Modeling)
  ☆84Updated 2 years ago
• jongharyu / neural-svd
  ☆16Updated 5 months ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆112Updated 2 weeks ago
• crowsonkb / mdmm
  The Modified Differential Multiplier Method (MDMM) for PyTorch
  ☆57Updated 3 years ago
• nmichlo / disent
  🧶 Modular VAE disentanglement framework for python built with PyTorch Lightning ▸ Including metrics and datasets ▸ With strongly supervi…
  ☆128Updated last year
• google / spectral-density
  Hessian spectral density estimation in TF and Jax
  ☆121Updated 4 years ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆229Updated 4 years ago
• tonyduan / normalizing-flows
  Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.
  ☆275Updated last year
• cunningham-lab / cb_and_cc
  ☆36Updated 2 years ago
• YannDubs / Neural-Process-Family
  Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
  ☆212Updated 8 months ago
• lgresele / independent-mechanism-analysis
  Code for the paper: "Independent mechanism analysis, a new concept?"
  ☆24Updated last year
• nicola-decao / power_spherical
  Pytorch implementation of the Power Spherical distribution
  ☆74Updated 7 months ago
• e-hulten / planar-flows
  PyTorch implementation of planar flows
  ☆31Updated 3 years ago
• slachapelle / disentanglement_via_mechanism_sparsity
  ☆17Updated last year
• DSL-Lab / GRBM
  Gaussian-Bernoulli Restricted Boltzmann Machines
  ☆102Updated 2 years ago
• plai-group / tvo
  Code for the Thermodynamic Variational Objective
  ☆26Updated 2 years ago
• didriknielsen / survae_flows
  Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"
  ☆286Updated 4 years ago
• pclucas14 / iaf-vae
  Pytorch Implementation of OpenAI's "Improved Variational Inference with Inverse Autoregressive Flow"
  ☆80Updated 4 years ago