The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Build your neural network easy and fast, 莫烦Python中文教学

Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.

TartanAir dataset tools and samples

BotanicGarden: A high-quality dataset for robot navigation in unstructured natural environments

Official implementation of VaxNeRF (Voxel-Accelearated NeRF).

CUDA Python 科普之夜 | 手把手教你写GPU加速代码

Forking from: https://github.com/zjhuang22/maskscoring_rcnn and make slightly modifications to have a demo

Solutions to Stanford's online cs231n course, in Google Colab-ready format