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Ultra-fast Node.js Order Book written in TypeScript for high-frequency trading (HFT) 🚀🚀
Locally runnable server with built-in data caching, providing both tick-level historical and consolidated real-time cryptocurrency market data via HTTP and WebSocket APIs
Qt-based charting terminal for financial markets and forex
Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood
Mastering Bitcoin 3rd Edition - Programming the Open Blockchain
Solving the Blind Perspective-n-Point Problem End-To-End With Robust Differentiable Geometric Optimization
Most Cited Deep Learning Papers Implementation
Self -driving cars specialization by the university of toronto at coursera
Oriented FAST and Rotated BRIEF using opencv
Course notes for CS228: Probabilistic Graphical Models.
Matlab code and functions for the testing scenarios analysed in "A tutorial on uncertainty modeling for machine reasoning"
This repo contains the official code for the paper 'Score refinement for confidence-based 3D multi-object tracking'
The devkit of the nuScenes dataset.
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…
Solidity, the Smart Contract Programming Language
Model based pose refinement and tracking with SIFT features, RANSAC and Levenberg-Marquardt algorithm
An optimization-based multi-sensor state estimator
A Robust and Versatile Monocular Visual-Inertial State Estimator
Simulator + benchmark suite for Micro Aerial Vehicle design.
Partially observable markov decision process solver in python
MDPs and POMDPs in Julia - An interface for defining, solving, and simulating fully and partially observable Markov decision processes on discrete and continuous spaces.
implementing the Error-State Extended Kalman Filter (ES-EKF) to localize a vehicle using data from the CARLA simulator
This is the repository for paper "Deep learning method for data association in particle tracking"
MATLAB implementation of the extended target PMBM tracker based on sets of trajectories
This is archive of older Jupyter notebooks for demonstrating Stone Soup. Please see up to date notebooks on https://stonesoup.rtfd.io/
A software project to provide the target tracking community with a framework for the development and testing of tracking algorithms.
A flexible, modern, C++ recursive Bayesian estimation library.