Alternatives and similar repositories for Neural-Processes

Users that are interested in Neural-Processes are comparing it to the libraries listed below

• wassname / attentive-neural-processes
  implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
  ☆99Updated 7 months ago
• Adaptive-RL / AdaRL-code
  Implementation codes and datasets used in ICLR'22 Spotlight paper AdaRL: What, Where, and How to Adapt in Transfer Reinforcement Learning…
  ☆40Updated last year
• sisl / variational_koopman
  Source code for "Deep Variational Koopman Models: Inferring Koopman Observations for Uncertainty-Aware Dynamics Modeling and Control" fro…
  ☆43Updated 6 years ago
• dgedon / DeepSSM_SysID
  Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
  ☆98Updated 3 years ago
• duanzhiihao / PyTorch_OLoptim
  A PyTorch implementation of various Online & Stochastic optimization algorithms for deep learning
  ☆27Updated 3 years ago
• mlpotter / DeepKoopmanLusch
  PyTorch Implementation of Lusch et al DeepKoopman
  ☆15Updated 2 years ago
• XanderJC / scalable-birl
  Scalable Bayesian Inverse Reinforcement Learning (ICLR 2021) by Alex J. Chan and Mihaela van der Schaar.
  ☆46Updated 4 years ago
• john-x-jiang / meta_ssm
  Repository for ICLR 2023 work, "Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting"
  ☆31Updated last year
• CORE-Robotics-Lab / Interpretable_DDTS_AISTATS2020
  Public code for implementation and experiments with differentiable decision trees.
  ☆29Updated last year
• ratschlab / GP-VAE
  TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155
  ☆142Updated 2 years ago
• tonyduan / mixture-density-network
  Mixture density network implemented in PyTorch.
  ☆152Updated 2 years ago
• ashysheya / ODE-RNN
  ☆26Updated 5 years ago
• sagelywizard / pytorch-mdn
  Mixture Density Networks for PyTorch
  ☆221Updated 9 months ago
• GalaxyFox / DS-GA-3001-Deep_Kalman_Filter
  This is a re-implementation and test on paper Deep Kalman Filter: https://arxiv.org/pdf/1511.05121.pdf
  ☆19Updated 5 years ago
• DanieleGammelli / DeepKalmanFilter
  Pyro/Pytorch implementation of Deep Kalman FIlter for shared-mobility demand prediction
  ☆48Updated 5 years ago
• locuslab / stable_dynamics
  Companion code to "Learning Stable Deep Dynamics Models" (Manek and Kolter, 2019)
  ☆33Updated 5 years ago
• erichson / koopmanAE
  Consistent Koopman Autoencoders
  ☆75Updated 2 years ago
• networkslab / rnn_flow
  ☆23Updated 4 years ago
• GauravIyer / MAML-Pytorch
  A Pytorch implementation of MAML
  ☆58Updated 2 years ago
• sunfanyunn / IMMA
  Official code for "Interaction Modeling with Multiplex Attention" (NeurIPS 2022)
  ☆37Updated 2 years ago
• cagatayyildiz / oderl
  Experiment code for "Continuous-Time Model-Based Reinforcement Learning"
  ☆55Updated last year
• tung-nd / TNP-pytorch
  Official implementation of Transformer Neural Processes
  ☆78Updated 3 years ago
• YunzhuLi / CompositionalKoopmanOperators
  [ICLR 2020] Learning Compositional Koopman Operators for Model-Based Control
  ☆91Updated 4 years ago
• YannDubs / Neural-Process-Family
  Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
  ☆226Updated last year
• ntienvu / KnownOptimum_BO
  Release code for ICML2020 Knowing The What But Not The Where in Bayesian Optimization
  ☆15Updated 2 years ago
• samholt / NeuralLaplaceControl
  Neural Laplace Control for Continuous-time Delayed Systems - an offline RL method combining Neural Laplace dynamics model and MPC planner…
  ☆14Updated 2 years ago
• xuesongwang / Neural-Process-Family
  ☆11Updated 2 years ago
• lxcnju / NeuralProcess
  PyTorch for Neural Process in ICML 2018
  ☆20Updated 6 years ago
• cgraber / cvpr_dNRI
  Code accompanying "Dynamic Neural Relational Inference" from CVPR 2020
  ☆61Updated 4 years ago
• volagold / nce
  Noise Contrastive Estimation (NCE) in PyTorch
  ☆32Updated 8 months ago