Popular GitHub Repositories for Optimal Path

POT : Python Optimal Transport

Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)

TorchCFM: a Conditional Flow Matching library

A selection of state-of-the-art research materials on trajectory prediction

A QoS-based scheduling system brings optimal layout and status to workloads such as microservices, web services, big data jobs, AI jobs, etc.

Interpretable ML package ? for concise, transparent, and accurate predictive modeling (sklearn-compatible).

MiniSora: A community aims to explore the implementation path and future development direction of Sora.

High-fidelity performance metrics for generative models in PyTorch

This guide details a learning path for high school students looking to explore the field of Machine Learning & Artificial Intelligence.

This Repositry is an experiment with an agent that searches documents and asks questions repeatedly in response to the main question. It automatically determines the optimal answer from the current documents or recognizes when there is no answer.

References on Optimal Control, Reinforcement Learning and Motion Planning

Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.

Python sample codes and documents about Autonomous vehicle control algorithm. This project can be used as a technical guide book to study the algorithms and the software architectures for beginners.

Optimal transport tools implemented with the JAX framework, to solve large scale matching problems of any flavor.

? Detect , track and extract the optimal face in multi-target faces (exclude side face and select the optimal face).

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

Trajectory Planner in Multi-Agent and Dynamic Environments

Implementing Reinforcement Learning, namely Q-learning and Sarsa algorithms, for global path planning of mobile robot in unknown environment with obstacles. Comparison analysis of Q-learning and Sarsa

Simulation of path planning for self-driving vehicles in Unity. This is also an implementation of the Hybrid A* pathfinding algorithm which is useful if you are interested in pathfinding for vehicles.

[NeurIPS 2024] GaussianCube: A Structured and Explicit Radiance Representation for 3D Generative Modeling