Torchhd is a Python library for Hyperdimensional Computing and Vector Symbolic Architectures
MIT License
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.
High-level library to help with training and evaluating neural networks in PyTorch flexibly and t...
PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models ...
Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.
PyTorch Geometric Signed Directed is a signed/directed graph neural network extension library for...
[ECCV 2022] SimpleRecon: 3D Reconstruction Without 3D Convolutions
torchao: PyTorch Architecture Optimization (AO). Performant kernels that work with PyTorch.
Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python
An extension of Open3D to address 3D Machine Learning tasks
Run PyTorch LLMs locally on servers, desktop and mobile
Pytorch framework for doing deep learning on point clouds.
Hummingbird compiles trained ML models into tensor computation for faster inference.
A flexible package for multimodal-deep-learning to combine tabular data with text and images usin...
Bayesian optimization in PyTorch