Stars
Reference implementation for DPO (Direct Preference Optimization)
pytorch implementation for "PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation" https://arxiv.org/abs/1612.00593
[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
Implementation of Graph Transformer in Pytorch, for potential use in replicating Alphafold2
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
Finding shortest paths with Graph Networks
Demo of RouteNet in ACM SIGCOMM'19
🌳 Python implementation of single-player Monte-Carlo Tree Search.
Generalized Relational Abstractions for Planning and Learning
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
An educational resource to help anyone learn deep reinforcement learning.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Framework for fast prototyping of Graph Neural Networks
RouteNet baseline for the Graph Neural Networking Challenge (https://bnn.upc.edu/challenge/)
Implementation of Graph Convolutional Networks in TensorFlow
TRAINING DEEP NEURAL-NETWORKS USING A NOISE ADAPTATION LAYER
Repository for benchmarking graph neural networks (JMLR 2023)
RouteNet version for the Graph Neural Networking Challenge
Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
Attention based model for learning to solve different routing problems