cheind / autoregressiveLinks
Autoregressive Models in PyTorch.
☆83Updated 3 years ago
Alternatives and similar repositories for autoregressive
Users that are interested in autoregressive are comparing it to the libraries listed below
Sorting:
- 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
- Easy Hypernetworks in Pytorch and Jax☆105Updated 2 years ago
- Materials of the Nordic Probabilistic AI School 2022.☆179Updated 3 years ago
- (FTML 2021) Official implementation of Dynamical VAEs☆232Updated 2 years ago
- Gaussian-Bernoulli Restricted Boltzmann Machines☆105Updated 2 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆147Updated 2 months ago
- ☆192Updated 2 months ago
- Mixture density network implemented in PyTorch.☆150Updated 2 years ago
- The Modified Differential Multiplier Method (MDMM) for PyTorch☆59Updated 4 years ago
- Implementation and tutorials of normalizing flows with the novel distributions module☆168Updated 5 years ago
- 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
- A general-purpose, deep learning-first library for constrained optimization in PyTorch☆139Updated 3 months ago
- Parameter-Free Optimizers for Pytorch☆130Updated last year
- Official code for Long Expressive Memory (ICLR 2022, Spotlight)☆70Updated 3 years ago
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆83Updated last year
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆118Updated 4 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆49Updated 4 years ago
- ☆143Updated 4 months ago
- Manifold-learning flows (ℳ-flows)☆230Updated 4 years ago
- PyTorch implementations of normalizing flow and its variants.☆78Updated 4 years ago
- A PyTorch implementation of Legendre Memory Units (LMUs) and its FFT variant☆43Updated 3 years ago
- ☆164Updated 2 years ago
- Design your own matplotlib stylefile interactively☆215Updated 4 years ago
- 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
- A pure-functional implementation of a machine learning transformer model in Python/JAX☆180Updated 4 months ago
- Interactive textbook on state-space models☆197Updated last year
- A σ-VAE implementation in PyTorch☆99Updated 3 years ago
- Deep Probabilistic Programming Course @ DIKU☆58Updated 5 years ago
- Approximate inference for Markov Gaussian processes using iterated Kalman smoothing, in JAX☆100Updated 2 years ago
- Rational Activation Functions - Replacing Padé Activation Units☆97Updated 6 months ago