Stars
Extensible, Efficient Quantum Algorithm Design for Humans.
Visionary: The World Model Carrier Built on WebGPU-Powered Gaussian Splatting Platform
All files for research proposal and bachelor thesis on Quantum Machine Learning at the University of KwaZulu-Natal in Durban, South Africa.
上海交通大学 LaTeX 论文模板 | Shanghai Jiao Tong University LaTeX Thesis Template
🆓免费的 ChatGPT 镜像网站列表，持续更新。List of free ChatGPT mirror sites, continuously updated.
code and data for ICLR 2024 paper ''Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space''
[ICLR 2024] Continuous-Multiple Image Outpainting in One-Step via Positional Query and A Diffusion-based Approach Link: https://arxiv.org/abs/2401.15652
Awesome Papers About Performing Prompting On Graphs
Combining Reinforcement Learning with Lin-Kernighan-Helsgaun Algorithm for the Traveling Salesman Problem
The official implementation of our paper "MoleRec: Combinatorial Drug Recommendation with Substructure-Aware Molecular Representation Learning" (TheWebConf 2023).
We would like to maintain a list of resources which aim to solve molecular docking and other closely related tasks.
NeurIPS2022: Code for ATD, Sleep-EDF, HAR,PTB-XL, MGH data processing
Official implementation for the paper "Learning Substructure Invariance for Out-of-Distribution Molecular Representations" (NeurIPS 2022).
Implementation of a scalable embedding method suggested in WSDM2020
NetSMF: Large-Scale Network Embedding as Sparse Matrix Factorization
Faster graph embeddings via coarsening (ICML 2020)
Awesome machine learning for temporal point processes papers.
A library for easy and efficient manipulation of tensor networks.
PyTorch toolbox for matrix product state models
Preparing Matrix Product State in Qiskit
Codes for CVPR 2022 Paper: "Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond"
[CVPR 2022 Oral] Official implementation of DN-DETR
Implementation of our NeurIPS 2021 paper "A Bi-Level Framework for Learning to Solve Combinatorial Optimization on Graphs".
Google Research