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Sparsity-aware deep learning inference runtime for CPUs
FBOW (Fast Bag of Words) is an extremmely optimized version of the DBow2/DBow3 libraries.
Curated list of project-based tutorials
[TPAMI 2023] Fast-ACV: Fast Attention Concatenation Volume for Accurate and Real-time Stereo Matching
Source code for the paper DM-VIO: Delayed Marginalization Visual-Inertial Odometry
Code for paper 《Efficient Multi-view Stereo by Iterative Dynamic Cost Volume》
HybVIO visual-inertial odometry and SLAM system
A high-performance observability data pipeline.
Source code for the ICCV 2023 paper: Robust Monocular Depth Estimation under Challenging Conditions
[CVPR2023] Lite-Mono: A Lightweight CNN and Transformer Architecture for Self-Supervised Monocular Depth Estimation
[NeurIPS 2023] RoboDepth: Robust Out-of-Distribution Depth Estimation under Corruptions
SC-Depth (V1, V2, and V3) for Unsupervised Monocular Depth Estimation Webpage:https://jiawangbian.github.io/sc_depth_pl/
A CLI that writes your git commit messages for you with AI
Fast and memory-efficient exact attention
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Visual SLAM/odometry package based on NVIDIA-accelerated cuVSLAM
[ICCV2023] CL-MVSNet: Unsupervised Multi-view Stereo with Dual-level Contrastive Learning
The Startup CTO's Handbook, a book covering leadership, management and technical topics for leaders of software engineering teams
A curated list of awesome visual odometry resources.