EU Long-term Dataset with Multiple Sensors for Autonomous Driving
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Updated
Jul 28, 2024 - C++
EU Long-term Dataset with Multiple Sensors for Autonomous Driving
Sparse-to-Dense Hypercolumn Matching for Long-Term Visual Localization (3DV 2019)
📂🛡️Suite of tools for file fixity (data protection for long term storage⌛) using redundant error correcting codes, hash auditing and duplications with majority vote, all in pure Python🐍
How to work with WordPress 📅 for long years
Long-term Human Trajectory Prediction using 3D DSGs
This project allows the alignment and correction of LiDAR-based SLAM session data with a reference map or another session, also the retrieval of 6-DoF poses with accuracy of up to 3 cm given an accurate TLS point cloud as a reference map (this map should be accurate at least regarding the position of permanent elements such as walls and columns).
This project is an example how to run Salesforce Field Service Optimization for a longer period than the 21 days that is supported out of the box.
Code for reproducing results from the paper "Unified Long Horizon Time Series Benchmark"
Collate and clean bottom trawl survey data
Code, figure, and data repository for: Haase et al. (2023) Nature. https://doi.org/10.1038/s41586-023-06400-1
A CLI for improve your memory
Boosted Hybrids of ensemble gradient algorithm for the long-term time series forecasting (LTSF)
Emotion Vector Memory (EVM) v2.1 — Model-agnostic identity continuity and directed vector interaction standard for long-term AI systems.
Renovated e-velos for a sustainable planet
Official implementation of "From Implicit to Explicit Feedback: A deep neural network for modeling sequential behaviours and long-short term preferences of online users" (Neurocomputing 2022)
Your words will not die. A 3000-year human thought stratum.
annaVault is a encryption/decryption program meant for long-term encryption storage. It was built to encrypt data in ways that assure that the data can be decrypted even in 20+ years. Therefore, only minimal and wellknown dependencies are used. The encryption is still very strong. For more information, see the information files inside the repo.
This is the LPB-RAP model repository providing model stage 01 & 02 published in Holler et al., 2024a & b.
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