Alternatives and similar repositories for PyDeep

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

• BiuBiuBiLL / NPEET_LNC
  local non-uniformity correction for mutual information estimation
  ☆71Updated 4 years ago
• drckf / paysage
  Unsupervised learning and generative models in python/pytorch.
  ☆119Updated 2 years ago
• brain-research / l2hmc
  TensorFlow implementation for training MCMC samplers from the paper: Generalizing Hamiltonian Monte Carlo with Neural Network
  ☆183Updated 7 years ago
• brain-research / nngp
  Deep neural network kernel for Gaussian process
  ☆211Updated 5 years ago
• UCL-SML / Doubly-Stochastic-DGP
  Deep Gaussian Processes with Doubly Stochastic Variational Inference
  ☆151Updated 6 years ago
• henripal / sgld
  ☆59Updated 6 years ago
• pyprob / pyprob
  A probabilistic programming system for simulators and high-performance computing (HPC), based on PyTorch
  ☆389Updated last year
• hughsalimbeni / bayesian_benchmarks
  A community repository for benchmarking Bayesian methods
  ☆110Updated 3 years ago
• RobRomijnders / weight_uncertainty
  Implementing Bayes by Backprop
  ☆184Updated 6 years ago
• glouppe / paper-learning-to-pivot
  Repository for the paper "Learning to Pivot with Adversarial Networks"
  ☆35Updated 6 years ago
• oseledets / ttpy
  Python implementation of the TT-Toolbox
  ☆253Updated 6 months ago
• SPFlow / SPFlow
  Sum Product Flow: An Easy and Extensible Library for Sum-Product Networks
  ☆303Updated this week
• trevorcampbell / bayesian-coresets
  Automated Scalable Bayesian Inference
  ☆130Updated 3 years ago
• nengo / keras-lmu
  Keras implementation of Legendre Memory Units
  ☆214Updated this week
• blei-lab / variational-smc
  Reference implementation of variational sequential Monte Carlo proposed by Naesseth et al. "Variational Sequential Monte Carlo" (2018)
  ☆65Updated 6 years ago
• google-deepmind / mc_gradients
  ☆170Updated last year
• Bihaqo / t3f
  Tensor Train decomposition on TensorFlow
  ☆226Updated 4 years ago
• SheffieldML / PyDeepGP
  Deep Gaussian Processes in Python
  ☆236Updated 4 years ago
• rballester / tntorch
  Tensor Network Learning with PyTorch
  ☆300Updated last year
• sphinxteam / dnner
  Deep Neural Networks Entropy from Replicas
  ☆34Updated 5 years ago
• gregversteeg / NPEET
  Non-parametric Entropy Estimation Toolbox
  ☆417Updated 3 years ago
• ganguli-lab / deepchaos
  Experiments for the paper "Exponential expressivity in deep neural networks through transient chaos"
  ☆73Updated 9 years ago
• gmum / pykernels
  Python library for working with kernel methods in machine learning
  ☆121Updated 6 years ago
• alshedivat / keras-gp
  Keras + Gaussian Processes: Learning scalable deep and recurrent kernels.
  ☆248Updated last year
• mackelab / delfi
  Density estimation likelihood-free inference. No longer actively developed see https://github.com/mackelab/sbi instead
  ☆73Updated 5 years ago
• thegregyang / GP4A
  Code for NeurIPS 2019 paper: "Tensor Programs I: Wide Feedforward or Recurrent Neural Networks of Any Architecture are Gaussian Processes…
  ☆247Updated 5 years ago
• arranger1044 / awesome-spn
  A structured list of resources about Sum-Product Networks (SPNs)
  ☆255Updated 4 years ago
• widedeepnetworks / widedeepnetworks
  Code for the paper Gaussian process behaviour in wide deep networks
  ☆46Updated 7 years ago
• erichson / ristretto
  Randomized Dimension Reduction Library
  ☆117Updated 4 years ago
• artemyk / nonlinearIB
  Nonlinear Information Bottleneck
  ☆54Updated 3 years ago