swyoon / pytorch-minimal-gaussian-processLinks
A minimal implementation of Gaussian process regression in PyTorch
☆65Updated 3 years ago
Alternatives and similar repositories for pytorch-minimal-gaussian-process
Users that are interested in pytorch-minimal-gaussian-process are comparing it to the libraries listed below
Sorting:
- Official code for Long Expressive Memory (ICLR 2022, Spotlight)☆71Updated 3 years ago
- ☆31Updated 4 years ago
- This project attempts to build neural network training and lightweighting cookbook including three kinds of lightweighting solutions, i.e…☆22Updated 3 years ago
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆127Updated 2 years ago
- Benchmark functions for Bayesian optimization☆37Updated last year
- Official repository for Automated Learning Rate Scheduler for Large-Batch Training (8th ICML Workshop on AutoML)☆40Updated 4 years ago
- ☆111Updated 3 years ago
- PyTorch implementations of normalizing flow and its variants.☆79Updated 4 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆57Updated 4 years ago
- ☆14Updated 2 years ago
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆84Updated last year
- Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…☆125Updated 3 years ago
- ☆23Updated 4 years ago
- The official repository for <Autoencoding Under Normalization Constraints> (Yoon, Noh and Park, ICML 2021).☆44Updated 2 years ago
- Sequence Modeling with Structured State Spaces☆67Updated 3 years ago
- Bayesian Attention Modules☆36Updated 5 years ago
- The OTHER pytorch boilerplate☆45Updated 9 months ago
- Pytorch implementation of neural processes and variants☆29Updated last year
- A PyTorch Implementation of the Luna: Linear Unified Nested Attention☆41Updated 4 years ago
- Official code for Coupled Oscillatory RNN (ICLR 2021, Oral)☆53Updated 4 years ago
- ☆24Updated 4 years ago
- Neural ODE Transformers (ICLR 2025)☆17Updated 4 months ago
- Bayesianize: A Bayesian neural network wrapper in pytorch☆91Updated last year
- Neural Diffusion Processes☆82Updated last year
- Official implementation of Transformer Neural Processes☆78Updated 3 years ago
- Code for: "Neural Rough Differential Equations for Long Time Series", (ICML 2021)☆122Updated 4 years ago
- [Neurips 2021]Diffusion Normalizing Flow (DiffFlow)☆119Updated 2 years ago
- An implementation of soft-DTW divergences.☆135Updated 4 years ago
- Reproducible code for paper "qEUBO A Decision-Theoretic Acquisition Function for Preferential Bayesian Optimization" from AISTATS 2023☆22Updated 2 years ago
- Official PyTorch implementation for Maximum Likelihood Training of Implicit Nonlinear Diffusion Model (INDM) in NeurIPS 2022.☆40Updated last year