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🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
Basic Kalman filter implementation in C++ using Eigen
Node-based Visual Programming Toolbox
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
Lab materials for the Full Stack Deep Learning Course
FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation.
Python binding of SLAM graph optimization framework g2o
g2o: A General Framework for Graph Optimization
pySLAM is a Python-based Visual SLAM pipeline that supports monocular, stereo, and RGB-D cameras. It offers a wide range of modern local and global features, multiple loop-closing strategies, a vol…
A pytorch port of google-research/google-research/robust_loss/
Python implementation of SO2, SE2, SO3, and SE3 matrix Lie groups using numpy or pytorch
LaTeX Template for Mike Morrison's #betterposter
The Python micro framework for building web applications.
homebrew ("the missing package manager for OS X") formulae from the mbed team.
An implementation of the SE-Sync algorithm for synchronization over the special Euclidean group.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
AprilTag is a visual fiducial system popular for robotics research.
References on Optimal Control, Reinforcement Learning and Motion Planning
A curated list of awesome datasets for SLAM
Python sample codes and textbook for robotics algorithms.
Future versions with model training module will be maintained through a forked version here: https://github.com/seasalt-ai/snowboy
An SDK for commercial device makers to integrate Alexa directly into connected products.
Protocol Buffers - Google's data interchange format