Alternatives and similar repositories for autoregressive

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

• facebookincubator / flowtorch
  This library would form a permanent home for reusable components for deep probabilistic programming. The library would form and harness a…
  ☆308Updated 2 months ago
• shyamsn97 / hyper-nn
  Easy Hypernetworks in Pytorch and Jax
  ☆105Updated 2 years ago
• probabilisticai / probai-2022
  Materials of the Nordic Probabilistic AI School 2022.
  ☆179Updated 3 years ago
• XiaoyuBIE1994 / DVAE
  (FTML 2021) Official implementation of Dynamical VAEs
  ☆232Updated 2 years ago
• DSL-Lab / GRBM
  Gaussian-Bernoulli Restricted Boltzmann Machines
  ☆105Updated 2 years ago
• LukasRinder / normalizing-flows
  Implementation of normalizing flows in TensorFlow 2 including a small tutorial.
  ☆147Updated 2 months ago
• google-deepmind / neural_testbed
  ☆192Updated 2 months ago
• tonyduan / mixture-density-network
  Mixture density network implemented in PyTorch.
  ☆150Updated 2 years ago
• crowsonkb / mdmm
  The Modified Differential Multiplier Method (MDMM) for PyTorch
  ☆59Updated 4 years ago
• acids-ircam / pytorch_flows
  Implementation and tutorials of normalizing flows with the novel distributions module
  ☆168Updated 5 years ago
• dwromero / ckconv
  Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…
  ☆123Updated 2 years ago
• cooper-org / cooper
  A general-purpose, deep learning-first library for constrained optimization in PyTorch
  ☆139Updated 3 months ago
• bremen79 / parameterfree
  Parameter-Free Optimizers for Pytorch
  ☆130Updated last year
• tk-rusch / LEM
  Official code for Long Expressive Memory (ICLR 2022, Spotlight)
  ☆70Updated 3 years ago
• dwromero / wavelet_networks
  Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…
  ☆83Updated last year
• jambo6 / neuralRDEs
  Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)
  ☆118Updated 4 years ago
• tk-rusch / coRNN
  Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)
  ☆49Updated 4 years ago
• bamos / presentations
  ☆143Updated 4 months ago
• johannbrehmer / manifold-flow
  Manifold-learning flows (ℳ-flows)
  ☆230Updated 4 years ago
• tatsy / normalizing-flows-pytorch
  PyTorch implementations of normalizing flow and its variants.
  ☆78Updated 4 years ago
• hrshtv / pytorch-lmu
  A PyTorch implementation of Legendre Memory Units (LMUs) and its FFT variant
  ☆43Updated 3 years ago
• ctlllll / SGConv
  ☆164Updated 2 years ago
• yobibyte / prettyplots
  Design your own matplotlib stylefile interactively
  ☆215Updated 4 years ago
• dderiso / gdtw
  GDTW is a Python/C++ library that performs dynamic time warping. It is based on a paper by Dave Deriso and Stephen Boyd.
  ☆40Updated 4 months ago
• awf / functional-transformer
  A pure-functional implementation of a machine learning transformer model in Python/JAX
  ☆180Updated 4 months ago
• probml / ssm-book
  Interactive textbook on state-space models
  ☆197Updated last year
• orybkin / sigma-vae-pytorch
  A σ-VAE implementation in PyTorch
  ☆99Updated 3 years ago
• aleatory-science / deep-probprog-course
  Deep Probabilistic Programming Course @ DIKU
  ☆58Updated 5 years ago
• AaltoML / kalman-jax
  Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX
  ☆100Updated 2 years ago
• ml-research / rational_activations
  Rational Activation Functions - Replacing Padé Activation Units
  ☆97Updated 6 months ago