GitHub - cornellius-gp/gpytorch: A highly efficient and modular implementation of Gaussian Processes in PyTorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch - GitHub - cornellius-gp/gpytorch: A highly efficient and modular implementation of Gaussian Processes in PyTorch

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Last Updated: 25 April 2025

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GitHub - cornellius-gp/gpytorch: A highly efficient and modular implementation of Gaussian Processes in PyTorch

A highly efficient and modular implementation of Gaussian Processes in PyTorch - GitHub - cornellius-gp/gpytorch: A highly efficient and modular implementation of Gaussian Processes in PyTorch

Loading Stats

Last Updated: 25 April 2025

Loading Readme

13 Projects and apps Similar to "GitHub - cornellius-gp/gpytorch: A highly efficient and modular implementation of Gaussian Processes in PyTorch" in April 2025

GitHub - pytorch/pytorch: Tensors and Dynamic neural networks in Python with strong GPU acceleration

GitHub - pytorch/vision: Datasets, Transforms and Models specific to Computer Vision

GitHub - pytorch/text: Data loaders and abstractions for text and NLP

GitHub - pytorch/audio: Data manipulation and transformation for audio signal processing, powered by PyTorch

GitHub - pytorch/ignite: High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.

GitHub - pytorch/tnt: Simple tools for logging and visualizing, loading and training

GitHub - GRAAL-Research/poutyne: A simplified framework and utilities for PyTorch

GitHub - skorch-dev/skorch: A scikit-learn compatible neural network library that wraps PyTorch

GitHub - ctallec/pyvarinf: Python package facilitating the use of Bayesian Deep Learning methods with Variational Inference for PyTorch

GitHub - pyg-team/pytorch_geometric: Graph Neural Network Library for PyTorch

GitHub - pyro-ppl/pyro: Deep universal probabilistic programming with Python and PyTorch

GitHub - catalyst-team/catalyst: Accelerated deep learning R&D

GitHub - manujosephv/pytorch_tabular: A standard framework for modelling Deep Learning Models for tabular data

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