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Paper Lists for Graph Neural Networks
Repository for the textbook: Small Unmanned Aircraft: Theory and Practice, by Randy Beard and Tim McLain
A curated list of topological deep learning (TDL) resources and links.
A curated list of awesome links and software libraries that are useful for robots.
Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman filter, Unscented Kalman filter, g-h (alpha-beta), least squares, H Infinity, smoo…
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
A curated list of Meta Learning papers, code, books, blogs, videos, datasets and other resources.
Repository of Jupyter notebook tutorials for teaching the Deep Learning Course at the University of Amsterdam (MSc AI), Fall 2023
Control adaptive filters with neural networks.
A curated list of awesome mathematics resources
Official Implementation of How To Train Your Deep Multi-Object Tracker (CVPR2020)
😎 Awesome lists about all kinds of interesting topics
💎 A curated list of awesome Competitive Programming, Algorithm and Data Structure resources
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
A simple library for theoretical research on direction-of-arrival (DOA) estimation in array signal processing.
Master programming by recreating your favorite technologies from scratch.
Curated list of project-based tutorials
resources pour le cours d'introduction à la programmation des GPUs du mastère spécialisé HPC-AI
Recreating PyTorch from scratch (C/C++, CUDA, NCCL and Python, with multi-GPU support and automatic differentiation!)
Python sample codes for robotics algorithms.
MIT IAP short course: Matrix Calculus for Machine Learning and Beyond
Paper list for equivariant neural network