Popular GitHub Repositories for Spatial Omics

? Geometric Computer Vision Library for Spatial AI

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021)

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

An open-source toolbox for action understanding based on PyTorch

novel deep learning research works with PaddlePaddle

scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics

The first open-source Artificial Narrow Intelligence generalist agentic framework Computer-Using-Agent that fully operates graphical-user-interfaces (GUIs) by using only natural language. Uses Visualization-of-Thought and Chain-of-Thought reasoning to elicit spatial reasoning and perception, emulates, plans and simulates synthetic HID interactions.

A collection of resources on controllable generation with text-to-image diffusion models.

A Tensorflow implementation of Spatial Transformer Networks.

??The spatial perception framework for rapidly building smart robots and spaces

Multi-source Translation

[TPAMI 2024] Awesome Resources of GNNs for Time Series Analysis (GNN4TS)

[CVPR 2024] FRESCO: Spatial-Temporal Correspondence for Zero-Shot Video Translation

iR Engine - Bringing us together on the open social spatial web. ? ? ? ?️ ??‍?

PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision

[ECCV'2020] STTN: Learning Joint Spatial-Temporal Transformations for Video Inpainting

official implementation of the spatial-temporal attention neural network (STANet) for remote sensing image change detection

Tools for computational pathology

? SpatialVLA: a spatial-enhanced vision-language-action model that is trained on 1.1 Million real robot episodes.