lxcnju / NeuralProcess
PyTorch for Neural Process in ICML 2018
☆20Updated 5 years ago
Alternatives and similar repositories for NeuralProcess:
Users that are interested in NeuralProcess are comparing it to the libraries listed below
- Code for paper Stochastic Deep Gaussian Processes over Graphs☆21Updated 3 years ago
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆17Updated 2 years ago
- Disentangled gEnerative cAusal Representation (DEAR)☆59Updated 2 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆58Updated 4 years ago
- Mutual Information Neural Entropic Estimation☆27Updated last year
- Official code for the ICLR 2021 paper Neural ODE Processes☆72Updated 2 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆57Updated 5 months ago
- Discovering directional relations via minimum predictive information regularization☆23Updated 5 years ago
- Classifier based mutual information, conditional mutual information estimation; conditional independence testing☆34Updated 5 years ago
- ☆31Updated 2 years ago
- Python3 implementation of the paper [Large-scale optimal transport map estimation using projection pursuit]☆16Updated 4 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆32Updated 2 weeks ago
- code for "Neural Jump Ordinary Differential Equations"☆29Updated 2 years ago
- Difference-of-Entropies (DoE) Estimator☆25Updated 2 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- Testing methods for estimating KL-divergence from samples.☆62Updated last week
- ☆30Updated 2 years ago
- Collection of resources that combine dynamic systems, control with deep learning.☆26Updated 3 years ago
- Code and data for the paper `Bayesian Semi-supervised Learning with Graph Gaussian Processes'☆38Updated 6 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆48Updated 4 years ago
- LEAP is a tool for discovering latent temporal causal relations with gradient-based neural network.☆35Updated 2 years ago
- Pytorch Implementation of the Nonlinear Information Bottleneck☆39Updated 7 months ago
- Code for AISTATS 2023 paper - Estimating Total Correlation with Mutual Information Estimators☆16Updated last year
- demonstration of the information bottleneck theory for deep learning☆61Updated 7 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆92Updated last year
- Training quantile models☆43Updated 3 months ago
- ☆26Updated 3 years ago
- ☆18Updated 3 years ago
- Codes for "Understanding and Accelerating Particle-Based Variational Inference" (ICML-19)☆22Updated 5 years ago
- Adaptive Activation Network and Functional Regularization for Efficient and Flexible Deep Multi-Task Learning☆17Updated 5 years ago