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alphatsp

AlphaGo inspired TSP Heuristic Solver

alphazero-mcts-tsp

ax-pipeline

The Pipeline example based on AXear-Pi (AX620A) , AXera-Pi Pro (AX650N) and AX620E shows the software development skills of ISP, Image Processing, NPU, Encoding, and Display modules, which is helpful for users to develop their own multimedia applications.

categoricalnf

Official repository for "Categorical Normalizing Flows via Continuous Transformations"

columbia-deep-learning-project

deep-slam

a list of papers, code, and other resources focus on deep learning SLAM system

dlmcol_wvcp

dota_devkit_yolo

Trans DOTA OBB format(poly format) to YOLO format.

fuzzy-c-means

Image Segmentation using Fuzzy C Means

fuzzy-c-means-algorithms

项目基于论文《Fuzzy c-Means Algorithms for Very Large Data》，使用Python语言实现FCM算法及其扩展算法，包括FCM、spFCM、oFCM、kFCM、reskFCM、spkFCM、okFCM。

graph_coloring_with_rl

Reinforcement learning algorithm that deals with an accurate solution for graph coloring problems

graph_colouring_with_rl

Supplementary material for Generating a Graph Colouring Heuristic with Deep Q-Learning and Graph Neural Networks paper

graphcoloring

This is the code for my "Graph Coloring Exploration" project for Artificial Intelligence course at AUT.

laplacian-deformation

Laplacian mesh deformation

learn_jetson

jetson nano 部署 yolov5+TensorRT+Deepstream

lidar-slam-detection

LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic

lightconvpoint

mcts-graphcoloring

Monte Carlo Tree Search for Graph Coloring

minesweeper_machine_learning

Solvers for the minesweeper game. A constraint satisfaction and logic solver and a Double Deep Q-Learning model.

minimal-diffusion

traffic signs data generation A minimal yet resourceful implementation of diffusion models (along with pretrained models + synthetic images for nine datasets)

nerfstudio

A collaboration friendly studio for NeRFs

neuralnets_graphcoloringsolving

parallelmcts

https://liacs.leidenuniv.nl/~plaata1/papers/paper_ICAART18.pdf

pcl-learning

🔥PCL（Point Cloud Library）点云库学习记录

point-cloud-processing

A suite of scripts and easy-to-follow tutorial to process point cloud data with Python

pointbev

A new BeV paradigm focusing sparsity and efficiency

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

recurrent_transformer

superpoint_transformer

Official PyTorch implementation of Superpoint Transformer introduced in [ICCV'23] "Efficient 3D Semantic Segmentation with Superpoint Transformer" and SuperCluster introduced in [3DV'24 Oral] "Scalable 3D Panoptic Segmentation As Superpoint Graph Clustering"

tenscol

Source code for the article "Population-based Gradient Descent Weight Learning for Graph Coloring Problems". Applications to standard Graph Coloring Problem (GCP) and Equitable graph Coloring Problem (ECP).