Attention is all you need implementation

Notes on quantization in neural networks

🟣 PyTorch interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.

A Library for Advanced Deep Time Series Models.

The official PyTorch implementation of the paper "SAITS: Self-Attention-based Imputation for Time Series". A fast and state-of-the-art (SOTA) deep-learning neural network model for efficient time-s…

Awesome Deep Learning for Time-Series Imputation, including a must-read paper list about applying neural networks to impute incomplete time series containing NaN missing values/data

An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.

UMich 500-Level Mobile Robotics Course

A list of papers and datasets about point cloud analysis (processing) since 2017. Update every day!