YannDubs / Neural-Process-Family
Code for the Neural Processes website and replication of 4 papers on NPs. Pytorch implementation.
☆202Updated 4 months ago
Related projects ⓘ
Alternatives and complementary repositories for Neural-Process-Family
- Implementation of the Convolutional Conditional Neural Process☆121Updated 3 years ago
- Pytorch implementation of Neural Processes for functions and images☆224Updated 2 years ago
- A framework for composing Neural Processes in Python☆78Updated 4 months ago
- Official Implementation of "Transformers Can Do Bayesian Inference", the PFN paper☆186Updated 2 weeks ago
- AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'☆86Updated 4 years ago
- Implementation of Unconstrained Monotonic Neural Network and the related experiments. These architectures are particularly useful for mod…☆116Updated 10 months ago
- Differentiable controlled differential equation solvers for PyTorch with GPU support and memory-efficient adjoint backpropagation.☆420Updated last year
- Sampling with gradient-based Markov Chain Monte Carlo approaches☆88Updated 6 months ago
- Official code for the ICLR 2021 paper Neural ODE Processes☆71Updated 2 years ago
- implementing "recurrent attentive neural processes" to forecast power usage (w. LSTM baseline, MCDropout)☆90Updated 8 months ago
- ☆233Updated last year
- Masked Autoregressive Flow☆203Updated 3 months ago
- Manifold-learning flows (ℳ-flows)☆230Updated 3 years ago
- Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.☆57Updated 3 years ago
- PyTorch-based library for Riemannian Manifold Hamiltonian Monte Carlo (RMHMC) and inference in Bayesian neural networks☆422Updated 2 months ago
- Code for ICE-BeeM paper - NeurIPS 2020☆87Updated 3 years ago
- ☆145Updated 2 years ago
- Neural Spline Flow, RealNVP, Autoregressive Flow, 1x1Conv in PyTorch.☆270Updated 10 months ago
- A Pytorch Implementation of Attentive Neural Process☆73Updated 5 years ago
- Approximate Inference Turns Deep Networks into Gaussian Processes (dnn2gp)☆48Updated 4 years ago
- PyTorch code of "Modeling Continuous Stochastic Processes with Dynamic Normalizing Flows" (NeurIPS 2020)☆46Updated 4 years ago
- Dataset repository for the 2024 paper "The Causal Chambers: Real Physical Systems as a Testbed for AI Methodology" by Juan L. Gamella, Jo…☆23Updated this week
- A community repository for benchmarking Bayesian methods☆109Updated 2 years ago
- Code for "Infinitely Deep Bayesian Neural Networks with Stochastic Differential Equations"☆170Updated 2 years ago
- Code for the paper "Bayesian Neural Network Priors Revisited"☆55Updated 3 years ago
- TensorFlow implementation for the GP-VAE model described in https://arxiv.org/abs/1907.04155☆127Updated last year
- Code for paper "SurVAE Flows: Surjections to Bridge the Gap between VAEs and Flows"☆283Updated 3 years ago
- Code for the paper: Amortized Causal Discovery: Learning to Infer Causal Graphs from Time-Series Data☆200Updated 2 years ago
- ODE2VAE: Deep generative second order ODEs with Bayesian neural networks☆123Updated 2 months ago
- Repository for the work Transforming Gaussian Processes with Normalizing Flows published at AISTATS 2021☆23Updated last year