Latest Advances on System-2 Reasoning

Implementation of various human pose estimation models in pytorch on multiple datasets (MPII & COCO) along with pretrained models

Python implementations of several robotic motion planners

Motion planning algorithm implementation

An all-in-one application to visualize multiple different local path planning algorithms

Weakly Supervised Instance Segmentation using Class Peak Response, in CVPR 2018 (Spotlight)

Implementation of Probabilistic Roadmap Path Planning Algorithm.

Library for training process reward models

We optimize SIEP algorithm in multiple intelligent agents scenario and comparatively research A*, DFS, BFS, Dijkstra, PFP and PRM.

Probabilistic Roadmap Planner with VREP Simulation for LocoBot

This Python script enables the download of Google contacts using the Google People API and converts each contact into a .md file format. This is particularly useful for visualizing your connections in tools like Obsidian, where you can create graphs displaying relationships between people.

Toy Machine Learning Package

Implementation of PRM and RRT

A 2D simulation in Pygame of the paper "Probabilistic roadmaps for path planning in high-dimensional configuration spaces" by L.E. Kavraki, P. Svestka, J.-C. Latombe, and M.H. Overmars.

This repository contains multiple pathfinding algorithms designed to find efficient routes through obstacle-rich environments. The primary focus is on comparing and enhancing three core algorithms: an optimized version of the Probabilistic Roadmap (PRM), the Rectangles algorithm, and a novel algorithm named APPATTrectangles.

Probabilistic Roadmap (PRM) path planning algorithm in Python to navigate a 2D space with obstacles. The process involves generating random nodes within a defined space, connecting these nodes based on a k-nearest neighbors approach

PRM, RRT and Wavefront path finding algorithms on Python in 3 dimensional.

An Extra Brain for Your Relationships

Personal Relationship Management software sucks, so I made my own, for myself.

Exploring RL algorithms like Value Iteration, Policy Iteration, Path Planning(RRT, PRM) etc. on an AI powered robot.