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Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,…
Distributed Task Queue (development branch)
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
Evolutionary algorithm toolbox and framework with high performance for Python
Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation
PythonLinearNonLinearControl is a library implementing the linear and nonlinear control theories in python.
A Python Implementation of a Genetic Algorithm-based Solution to Vehicle Routing Problem with Time Windows
Adaptive large neighbourhood search (and more!) in Python.
QGIS tools to capture and zoom to coordinates using decimal, DMS, WKT, GeoJSON, MGRS, UTM, UPS, GEOREF, ECEF, H3, and Plus Codes notation. Provides external map support, MGRS & Plus Codes conversio…
Reinforcement learning approach for job shop scheduling
Implementation of a U-net complete with efficient attention as well as the latest research findings
ROS package containing drivers for NMEA devices that can output satellite navigation data (e.g. GPS or GLONASS).
Source code for Acorn, the precision farming rover by Twisted Fields
PyTorch implementation of over 30 realtime semantic segmentations models, e.g. BiSeNetv1, BiSeNetv2, CGNet, ContextNet, DABNet, DDRNet, EDANet, ENet, ERFNet, ESPNet, ESPNetv2, FastSCNN, ICNet, LEDN…
A python framework for solving the VRP and its variants with column generation.
A coverage path planning algorithm that combines multiple search algorithms to find a full coverage trajectory with the lowest cost.
Python package to read and write vehicle routing problem instances.
This is a Python implementation of CBBA (Consensus-Based Bundle Algorithm).
Monte Carlo Tree Search with Reinforcement Learning for Motion Planning
用于多机覆盖路径规划流程化算法 Algorithm for Streamlining Multi-Agent Coverage Path Planning
A Reinforcement Learning (RL) agent for Coverage Path Planning.
Adaptive Large Neighborhood Search heuristic (ALNS) algorithm for PDPTW.
基于Python实现了K-Means、GMM、DBSCAN、AGNES等四种常见的聚类算法
OR-Tools vs. CP Optimizer vs. CPLEX for Blocking Job Shop / Simple Job Shop Scheduling Problems
The some customize Vehicle Routing Problem with Ortools and Python
Decoder architecture based on the UNet++. Combining residual bottlenecks with depthwise convolutions and attention mechanisms, it outperforms the UNet++ in a coronary artery segmentation task, whil…
A leader-follower formation control using deep reinforcement learning environment, In which every agent can learn to follow the leader agent by keeping track of a certain distance to that leader, a…
cropland-parcel extraction
Implementation of Consensus Based Bundle Algorithm (CBBA) with python
multi traveling salesman problem with ant colony optimization