Alternatives and similar repositories for NeuralProcess

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

• naiqili / DGPG
  Code for paper Stochastic Deep Gaussian Processes over Graphs
  ☆21Updated 3 years ago
• wassname / attentive-neural-processes
  implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)
  ☆95Updated 3 months ago
• eth-sri / probabilistic-forecasts-attacks
  ☆29Updated 2 years ago
• xpuoxford / L2G-neurips2021
  ☆26Updated 3 years ago
• Lingkai-Kong / SDE-Net
  Code for paper: SDE-Net: Equipping Deep Neural network with Uncertainty Estimates
  ☆114Updated 4 years ago
• kurowasan / GraN-DAG
  ☆93Updated 2 years ago
• john-x-jiang / meta_ssm
  Repository for ICLR 2023 work, "Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series Forecasting"
  ☆30Updated 10 months ago
• stevenliuyi / information-bottleneck
  demonstration of the information bottleneck theory for deep learning
  ☆64Updated 7 years ago
• ccha23 / MI-NEE
  Mutual Information Neural Entropic Estimation
  ☆27Updated 2 years ago
• steveli / partial-encoder-decoder
  An encoder-decoder framework for learning from incomplete data
  ☆45Updated 2 years ago
• inouye-lab / ShapleyExplanationNetworks
  Implementation of the paper "Shapley Explanation Networks"
  ☆88Updated 4 years ago
• a-norcliffe / sonode
  Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"
  ☆58Updated 9 months ago
• 000Justin000 / torchdiffeq
  Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.
  ☆60Updated 4 years ago
• xwshen51 / DEAR
  Disentangled gEnerative cAusal Representation (DEAR)
  ☆60Updated 2 years ago
• fishmoon1234 / DAG-NoCurl
  ☆25Updated 3 years ago
• AWehenkel / UMNN
  Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…
  ☆121Updated 6 months ago
• duanzhiihao / PyTorch_OLoptim
  A PyTorch implementation of various Online & Stochastic optimization algorithms for deep learning
  ☆27Updated 3 years ago
• thu-ml / fpovi
  Code for "Function Space Particle Optimization for Bayesian Neural Networks"
  ☆18Updated 2 years ago
• 7qchen / GIND
  Official code of GIND (Optimization-Induced Graph Implicit Nonlinear Diffusion)
  ☆18Updated 3 years ago
• wokas36 / DFNets
  Distributed Feedback-Looped Networks
  ☆10Updated 5 years ago
• BorealisAI / continuous-time-flow-process
  PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)
  ☆48Updated 4 years ago
• danielzuegner / robust-gcn
  Implementation of the paper "Certifiable Robustness and Robust Training for Graph Convolutional Networks".
  ☆43Updated 4 years ago
• roosephu / deep_matrix_factorization
  Code for Implicit Regularization in Deep Matrix Factorization.
  ☆38Updated 11 months ago
• yincheng / GGP
  Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'
  ☆38Updated 6 years ago
• burklight / nonlinear-IB-PyTorch
  Pytorch Implementation of the Nonlinear Information Bottleneck
  ☆39Updated 11 months ago
• tailintalent / causal
  Discovering directional relations via minimum predictive information regularization
  ☆24Updated 5 years ago
• crisbodnar / ndp
  Official code for the ICLR 2021 paper Neural ODE Processes
  ☆72Updated 3 years ago
• VITA-Group / L2O-Minimax
  [ICLR 2021] "Learning a Minimax Optimizer: A Pilot Study" by Jiayi Shen*, Xiaohan Chen*, Howard Heaton*, Tianlong Chen, Jialin Liu, Wotao…
  ☆15Updated 3 years ago
• dbmptr / EPOSearch
  Exact Pareto Optimal solutions for preference based Multi-Objective Optimization
  ☆65Updated 3 years ago
• YoungseogChung / calibrated-quantile-uq
  Repository for Beyond Pinball Loss: Quantile Methods for Calibrated Uncertainty Quantification (NeurIPS 2024)
  ☆43Updated 7 months ago