swyoon / pytorch-minimal-gaussian-processLinks
A minimal implementation of Gaussian process regression in PyTorch
☆64Updated 2 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:
- ☆31Updated 4 years ago
- Official code for Long Expressive Memory (ICLR 2022, Spotlight)☆71Updated 3 years ago
- Benchmark functions for Bayesian optimization☆37Updated last year
- ☆109Updated 3 years ago
- Official repository for Automated Learning Rate Scheduler for Large-Batch Training (8th ICML Workshop on AutoML)☆40Updated 3 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
- Bayesianize: A Bayesian neural network wrapper in pytorch☆89Updated last year
- Lipschitz Recurrent Neural Networks☆30Updated 4 years ago
- ☆23Updated 4 years ago
- PyTorch implementations of normalizing flow and its variants.☆79Updated 4 years ago
- Code repository of the paper "Wavelet Networks: Scale-Translation Equivariant Learning From Raw Time-Series, TMLR" https://arxiv.org/abs…☆83Updated last year
- A PyTorch Implementation of the Luna: Linear Unified Nested Attention☆41Updated 4 years ago
- The official repository for <Autoencoding Under Normalization Constraints> (Yoon, Noh and Park, ICML 2021).☆44Updated 2 years ago
- The OTHER pytorch boilerplate☆45Updated 8 months ago
- Notes and codes of the topic "Bayesian deep learning"☆56Updated 6 years ago
- Bayesian Attention Modules☆35Updated 4 years ago
- Implementation of the Kalman Filtering Attention proposed in "Kalman Filtering Attention for User Behavior Modeling in CTR Prediction"☆59Updated 2 years ago
- ☆14Updated 2 years ago
- Sequence Modeling with Multiresolution Convolutional Memory (ICML 2023)☆127Updated 2 years ago
- Code repository of the paper "CKConv: Continuous Kernel Convolution For Sequential Data" published at ICLR 2022. https://arxiv.org/abs/21…☆124Updated 2 years ago
- Open source code for EigenGame.☆33Updated 2 years ago
- repo for paper: Adaptive Checkpoint Adjoint (ACA) method for gradient estimation in neural ODE☆56Updated 4 years ago
- PyTorch implementation of SoftFlow☆60Updated 5 years ago
- Simple, but essential Bayesian optimization package☆94Updated 4 months ago
- Neural Diffusion Processes☆81Updated last year
- Stochastic Gradient Langevin Dynamics for Bayesian learning☆35Updated 3 years ago
- Implementation of different Normalizing Flows, NF, Planar Flows, IAF, etc.☆30Updated 7 years ago
- Jupyter Notebook corresponding to 'Going with the Flow: An Introduction to Normalizing Flows'☆27Updated 4 years ago
- Implementation of N-Grammer, augmenting Transformers with latent n-grams, in Pytorch☆76Updated 2 years ago
- Official code release of Hilbert Diffusion Model (PyTorch ver.)☆18Updated last year