IKAROS93

ALBEF

Code for ALBEF: a new vision-language pre-training method

LLM-Dojo

欢迎来到 LLM-Dojo，这里是一个开源大模型学习场所(最好的学习永远在项目中)，包括一个开源大模型训练框架，以及llm_tricks模块，其中包括各种大模型的tricks实现与原理讲解！。👩‍🎓👨‍🎓

leedl-tutorial

《李宏毅深度学习教程》（李宏毅老师推荐👍），PDF下载地址：https://github.com/datawhalechina/leedl-tutorial/releases

GraphGPS

Recipe for a General, Powerful, Scalable Graph Transformer

Graph-Bert

Source code of Graph-Bert

xNeuSM

Explainable Neural Subgraph Matching with Graph Learnable Multi-hop Attention Networks

AEDNet-Adaptive-Edge-Deleting-Network-For-Subgraph-Matching

Neural Subgraph Matching Paper: "AEDNet: Adaptive Edge-Deleting Network For Subgraph Matching". [Neural-Subgraph-Matching Method For Learning-Subgraph-Matching. (Approximate Subgraph matching, SubgraphMatching)]

sub-gmn-mod-pytorch

Modification of sub-gmn to use with many-to-many node matrix

Sub-GMN

Source Code: Sub-GMN: Subgraph Matching Network

dgl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

PyTorch-Tutorial-2nd

《Pytorch实用教程》（第二版）无论是零基础入门，还是CV、NLP、LLM项目应用，或是进阶工程化部署落地，在这里都有。相信在本书的帮助下，读者将能够轻松掌握 PyTorch 的使用，成为一名优秀的深度学习工程师。

PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

graphormer-pyg

Microsoft Graphormer (https://arxiv.org/abs/2106.05234) rewritten in Pytorch-Geometric

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

machine_learning_examples

A collection of machine learning examples and tutorials.

Machine-Learning-Collection

A resource for learning about Machine learning & Deep Learning

awesome-graph-transformer

Papers about graph transformers.

Graph_Transformer_Networks

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

Graphormer

Graphormer is a general-purpose deep learning backbone for molecular modeling.

graphtransformer

Graph Transformer Architecture. Source code for "A Generalization of Transformer Networks to Graphs", DLG-AAAI'21.

Self_Reference_Book_for_VSALM

Reference_Book_for_VSALM

HBA

[RAL 2023] A globally consistent LiDAR map optimization module

M-detector

PointTransformerV3

[CVPR'24 Oral] Official repository of Point Transformer V3 (PTv3)

DiSCo-SLAM

robust_distributed_mapper

This library is an implementation of the algorithm described in Distributed Trajectory Estimation with Privacy and Communication Constraints: a Two-Stage Distributed Gauss-Seidel Approach.

covins

COVINS-(G) -- A (Generic) Framework for Collaborative Visual-Inertial SLAM and Multi-Agent 3D Mapping

S3E

S3E: A Large-scale Multimodal Dataset for Collaborative SLAM

Swarm-SLAM

Sparse Decentralized Collaborative Simultaneous Localization and Mapping Framework for Multi-Robot Systems

ccm_slam

CCM-SLAM: Robust and Efficient Centralized Collaborative Monocular SLAM for Robotic Teams