lxcnju / NeuralProcess
PyTorch for Neural Process in ICML 2018
☆20Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for NeuralProcess
- Code for paper Stochastic Deep Gaussian Processes over Graphs☆21Updated 3 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆58Updated 3 years ago
- Mutual Information Neural Entropic Estimation☆25Updated last year
- Collection of resources that combine dynamic systems, control with deep learning.☆24Updated 3 years ago
- Bayesian Attention Modules☆35Updated 3 years ago
- Code for "Function Space Particle Optimization for Bayesian Neural Networks"☆16Updated 2 years ago
- Featurized Density Ratio Estimation☆20Updated 3 years ago
- implementations sde-net☆14Updated 3 years ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆71Updated 2 years ago
- ☆22Updated 3 years ago
- Source code for Noise-Contrastive Estimation for Multivariate Point Processes (NeurIPS 2020).☆15Updated 4 years ago
- ☆22Updated 2 years ago
- Code for AISTATS 2023 paper - Estimating Total Correlation with Mutual Information Estimators☆14Updated 11 months ago
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆30Updated 2 years ago
- A PyTorch implementation of various Online & Stochastic optimization algorithms for deep learning☆27Updated 2 years ago
- [NeurIPS 2020 Spotlight Oral] "Training Stronger Baselines for Learning to Optimize", Tianlong Chen*, Weiyi Zhang*, Jingyang Zhou, Shiyu …☆26Updated 2 years ago
- This repository contains PyTorch implementations of Neural Process, Attentive Neural Process, and Recurrent Attentive Neural Process.☆15Updated 3 years ago
- This repository is the implementation of Deep Dirichlet Process Mixture Models (UAI 2022)☆12Updated 2 years ago
- Difference-of-Entropies (DoE) Estimator☆24Updated 2 years ago
- ☆31Updated 2 years ago
- ☆88Updated last year
- LDS-toolbox: a matlab toolbox for linear dynamical systems (LDSs) modeling☆13Updated 6 years ago
- Experiments from the paper "On Second Order Behaviour in Augmented Neural ODEs"☆56Updated last month
- ☆25Updated 3 years ago
- An encoder-decoder framework for learning from incomplete data☆45Updated last year
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆90Updated 8 months ago
- Disentangled gEnerative cAusal Representation (DEAR)☆56Updated 2 years ago
- ☆24Updated 2 years ago
- ☆44Updated 3 years ago
- Noise Contrastive Estimation (NCE) in PyTorch☆31Updated last year