YannDubs / Neural-Process-FamilyLinks
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
☆227Updated last year
Alternatives and similar repositories for Neural-Process-Family
Users that are interested in Neural-Process-Family are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of Neural Processes for functions and images☆236Updated 3 years ago
- Implementation of the Convolutional Conditional Neural Process☆128Updated 4 years ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆90Updated 5 years ago
- A framework for composing Neural Processes in Python☆89Updated last year
- ☆251Updated 3 years ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆25Updated 3 years ago
- ☆156Updated 3 years ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆251Updated last year
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆464Updated last year
- Official code for the ICLR 2021 paper Neural ODE Processes☆76Updated 3 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆100Updated 10 months ago
- A Pytorch Implementation of Attentive Neural Process☆75Updated 6 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆172Updated 3 years ago
- Masked Autoregressive Flow☆219Updated last year
- Manifold-learning flows (ℳ-flows)☆233Updated 5 years ago
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆125Updated last month
- Code for the paper "Bayesian Neural Network Priors Revisited"☆60Updated 4 years ago
- Reimplementation of Variational Inference with Normalizing Flows (https://arxiv.org/abs/1505.05770)☆243Updated 7 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆47Updated 5 years ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 4 years ago
- Implementation of normalizing flows in TensorFlow 2 including a small tutorial.☆146Updated 4 months ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 6 years ago
- Light-weighted code for Orthogonal Additive Gaussian Processes☆44Updated last year
- A community repository for benchmarking Bayesian methods☆112Updated 4 years ago
- PyTorch implementation of "Weight Uncertainty in Neural Networks"☆176Updated 3 years ago
- Mixture density network implemented in PyTorch.☆152Updated 2 years ago
- Official pytorch implementation of the paper "Bayesian Meta-Learning for the Few-Shot Setting via Deep Kernels" (NeurIPS 2020)☆207Updated 4 years ago
- Deep neural network kernel for Gaussian process☆212Updated 5 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆131Updated last year
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆64Updated 4 years ago