tinglo
I am Lo Pang-Yun Ting, a PhD in National Cheng Kung University. I want to study in Github and try to make some contributions to the community.
National Cheng Kung UniversityNational Cheng Kung University
tinglo's Stars
yzhao062/pyod
A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection)
GitGyun/visual_token_matching
[ICLR'23 Oral] Universal Few-shot Learning of Dense Prediction Tasks with Visual Token Matching
voidism/DoLa
Official implementation for the paper "DoLa: Decoding by Contrasting Layers Improves Factuality in Large Language Models"
wsxqaza12/Comparison-of-LLM-Specifications
D3Mlab/diffu-detox
zacharyhorvitz/ParaGuide
Code for "ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer"
lixin4ever/Conference-Acceptance-Rate
Acceptance rates for the major AI conferences
Georgetown-IR-Lab/QuickUMLS
System for Medical Concept Extraction and Linking
wyl-willing/MindMap
MindMap: Knowledge Graph Prompting Sparks Graph of Thoughts in Large Language Models
FreedomIntelligence/Medical_NLP
Medical NLP Competition, dataset, large models, paper
LantaoYu/MARL-Papers
Paper list of multi-agent reinforcement learning (MARL)
zjukg/KG-LLM-Papers
[Paper List] Papers integrating knowledge graphs (KGs) and large language models (LLMs)
zjunlp/PromptKG
PromptKG Family: a Gallery of Prompt Learning & KG-related research works, toolkits, and paper-list.
RManLuo/Awesome-LLM-KG
Awesome papers about unifying LLMs and KGs
s-nlp/detox
Models for automatically transforming toxic text to neutral
marload/DeepRL-TensorFlow2
🐋 Simple implementations of various popular Deep Reinforcement Learning algorithms using TensorFlow2
LIANGKE23/Awesome-Knowledge-Graph-Reasoning
AKGR: Awesome Knowledge Graph Reasoning is a collection of knowledge graph reasoning works, including papers, codes and datasets
kumar-shridhar/PyTorch-BayesianCNN
Bayesian Convolutional Neural Network with Variational Inference based on Bayes by Backprop in PyTorch.
huawei-noah/BGCN
A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).
MIT-LCP/eicu-code
Code and website related to the eICU Collaborative Research Database
Hannibal046/Awesome-LLM
Awesome-LLM: a curated list of Large Language Model
DeepGraphLearning/KnowledgeGraphEmbedding
louisabraham/fastnode2vec
Fast and scalable node2vec implementation
paperswithcode/ai-deadlines
:alarm_clock: AI conference deadline countdowns
xinguoxia/KGE
Some papers on Knowledge Graph Embedding(KGE)
MIT-LCP/mimic-code
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
YerevaNN/mimic3-benchmarks
Python suite to construct benchmark machine learning datasets from the MIMIC-III 💊 clinical database.
ggerganov/llama.cpp
LLM inference in C/C++
THU-KEG/Entity_Alignment_Papers
Must-read papers on entity alignment published in recent years
dmpierre/LINE
A PyTorch implementation of the LINE paper.