wangxinyufighting

herb_recommendation

algorithom

Avg-Avg

[Findings of EMNLP 2022] Holistic Sentence Embeddings for Better Out-of-Distribution Detection

awesome-graph-classification

A collection of important graph embedding, classification and representation learning papers with implementations.

Awesome-Out-Of-Distribution-Detection

A professionally curated list of papers, tutorials, books, videos, articles and open-source libraries etc for Out-of-distribution detection, robustness, and generalization

bert-multitask-learning

BERT for Multitask Learning

date

DDU

Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty

deepwalk

DeepWalk - Deep Learning for Graphs

Focus

gcn0.4

hin2vec_pytorch

A pytorch implementation of HIN2vec

honest_llama

Inference-Time Intervention: Eliciting Truthful Answers from a Language Model

KC

Knowledge Computing group - MSRA

knowledge_graph_attention_network

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

learn-nlp-with-transformers

we want to create a repo to illustrate usage of transformers in chinese

leetcode-1

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

llama3-from-scratch

llama3 implementation one matrix multiplication at a time

llm4db

lm-ood

logicnn

multi-label-ood

OpenOOD

Benchmarking Generalized Out-of-Distribution Detection

Probes

PTO

Official implementation of the ACL 2023 paper: On Prefix-tuning for Lightweight Out-of-distribution Detection

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Python-100-Days

Python - 100天从新手到大师

sac3

Official repo for SAC3: Reliable Hallucination Detection in Black-Box Language Models via Semantic-aware Cross-check Consistency

selfcheckgpt

SelfCheckGPT: Zero-Resource Black-Box Hallucination Detection for Generative Large Language Models

yyzy.github.io

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