Popular GitHub Repositories for International Relations

A C library for parsing/normalizing street addresses around the world. Powered by statistical NLP and open geo data.

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Easy-to-Use RAG Framework; CCF AIOps International Challenge 2024 Top3 Solution; CCF AIOps 国际挑战赛 2024 季军方案

Transform geospatial relations into graph representations designed for spatial analysis and Graph Neural Networks (GNNs).

Tutorial for International Summer School on Deep Learning, 2019

ASER (Activities, States, Events, and their Relations): a large-scale weighted eventuality knowledge graph.

All graph/GNN papers accepted at the International Conference on Machine Learning (ICML) 2024.

A PyTorch implementation of the paper: Specifying Object Attributes and Relations in Interactive Scene Generation

TensorFlow Implementation of the paper "End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures" and "Classifying Relations via Long Short Term Memory Networks along Shortest Dependency Paths" for classifying relations

TOEIC(Test of English for International Communication) solving using pytorch-pretrained-BERT model.

Tracking instruction-tuned LLM openness. Paper: Liesenfeld, Andreas, Alianda Lopez, and Mark Dingemanse. 2023. “Opening up ChatGPT: Tracking Openness, Transparency, and Accountability in Instruction-Tuned Text Generators.” In Proceedings of the 5th International Conference on Conversational User Interfaces. doi:10.1145/3571884.3604316.

It is a comprehensive resource hub compiling all graph papers accepted at the International Conference on Learning Representations (ICLR) in 2024.

PyTorch implementation of CNN for remaining useful life prediction. Inspired by Babu, G. S., Zhao, P., & Li, X. L. (2016, April). Deep convolutional neural network-based regression approach for estimation of remaining useful life. In International conference on database systems for advanced applications (pp. 214-228). Springer, Cham.

Corresponding code of 'Quiros A.C., Murray-Smith R., Yuan K. Pathology GAN: Learning deep representations of cancer tissue. Proceedings of The 3rd International Conference on Medical Imaging with Deep Learning (MIDL) 2020'

The official PyTorch implementation of the IEEE/CVF International Conference on Computer Vision (ICCV) '23 paper Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection.

Hsin-Rung Chou, Jia-Hong Lee, Yi-Ming Chan, and Chu-Song Chen, "Data-specific Adaptive Threshold for Face Recognition and Authentication," IEEE International Conference on Multimedia Information Processing and Retrieval, MIPR 2019

Code to accompany our International Joint Conference on Neural Networks (IJCNN) paper entitled - Simulating Brain Signals: Creating Synthetic EEG Data via Neural-Based Generative Models for Improved SSVEP Classification

CauseNet: Towards a Causality Graph Extracted from the Web

Ordinal Regression tutorial for the International Summer School on Deep Learning 2019

It is a comprehensive resource hub compiling all LLM papers accepted at the International Conference on Learning Representations (ICLR) in 2024.