Alternatives and similar repositories for pytorch-minimal-gaussian-process

Users that are interested in pytorch-minimal-gaussian-process are comparing it to the libraries listed below

• liu-ziyin / NeurIPS_2020_Snake
  ☆31Updated 3 years ago
• tk-rusch / LEM
  Official code for Long Expressive Memory (ICLR 2022, Spotlight)
  ☆70Updated 3 years ago
• jungtaekkim / bayeso-benchmarks
  Benchmark functions for Bayesian optimization
  ☆37Updated last year
• erichson / LipschitzRNN
  Lipschitz Recurrent Neural Networks
  ☆29Updated 4 years ago
• hsouri / BayesianTransferLearning
  ☆108Updated 2 years ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆81Updated last year
• thjashin / multires-conv
  Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)
  ☆125Updated last year
• tatsy / normalizing-flows-pytorch
  PyTorch implementations of normalizing flow and its variants.
  ☆79Updated 4 years ago
• CW-Huang / sdeflow-light
  A minimalist implementation of score-based diffusion model
  ☆129Updated 3 years ago
• davinnovation / pytorch-boilerplate
  The OTHER pytorch boilerplate
  ☆45Updated 4 months ago
• swyoon / normalized-autoencoders
  The official repository for <Autoencoding Under Normalization Constraints> (Yoon, Noh and Park, ICML 2021).
  ☆43Updated 2 years ago
• microsoft / bayesianize
  Bayesianize: A Bayesian neural network wrapper in pytorch
  ☆88Updated last year
• sjhwang82 / GenerativeAI
  Course Website for "AI618: Generative Model and Unsupervised Learning"
  ☆37Updated 2 years ago
• AaltoML / t-SVGP
  Codes for 'Dual Parameterization of Sparse Variational Gaussian Processes' (NeurIPS 2021)
  ☆9Updated 3 years ago
• mbilos / neural-flows-experiments
  Experiments for Neural Flows paper
  ☆97Updated 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…
  ☆82Updated last year
• google-research / soft-dtw-divergences
  An implementation of soft-DTW divergences.
  ☆135Updated 3 years ago
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆78Updated 2 years ago
• luis-armando-perez-rey / diffusion_vae
  ☆23Updated 4 years ago
• juho-lee / bnp
  Pytorch implementation of neural processes and variants
  ☆29Updated last year
• 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
• zhougroup / BAM
  Bayesian Attention Modules
  ☆35Updated 4 years ago
• facebookresearch / qEUBO
  Reproducible code for paper "qEUBO A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization" from AISTATS 2023
  ☆22Updated 2 years ago
• Junyoungpark / GNNAtoZ
  ☆38Updated 2 years ago
• juntang-zhuang / torch_ACA
  repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE
  ☆56Updated 4 years ago
• KU-LIM-Lab / hdm-official
  Official code release of Hilbert Diffusion Model (PyTorch ver.)
  ☆17Updated 11 months ago
• DiffEqML / diffeqml-research
  This repository contains code released by DiffEqML Research
  ☆90Updated 3 years ago
• kakaobrain / autowu
  Official repository for Automated Learning Rate Scheduler for Large-Batch Training (8th ICML Workshop on AutoML)
  ☆40Updated 3 years ago
• tonyduan / mixture-density-network
  Mixture density network implemented in PyTorch.
  ☆148Updated 2 years ago
• sseung0703 / Lightweighting_Cookbook
  This project attempts to build neural network training and lightweighting cookbook including three kinds of lightweighting solutions, i.e…
  ☆22Updated 3 years ago