nianlonggu
Machine learning scientist at Universität Zürich. Experienced in NLP, information retrieval, LLM, and AI-based research in bioacoustics.
ETH ZurichZurich, Switzerland
nianlonggu's Stars
nianlonggu/MemSum
Code for ACL 2022 paper on the topic of long document summarization: MemSum: Extractive Summarization of Long Documents Using Multi-Step Episodic Markov Decision Processes
nianlonggu/Local-Citation-Recommendation
Code for ECIR 2022 paper Local Citation Recommendation with Hierarchical-Attention Text Encoder and SciBERT-based Reranking
nianlonggu/reverse-variational-autoencoder
WACV 2020 paper: Reverse Variational Autoencoder for Visual Attribute Manipulation and Anomaly Detection Pytorch Implementation
Hvass-Labs/TensorFlow-Tutorials
TensorFlow Tutorials with YouTube Videos
tensorflow/tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.