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absa-survey

Resources about Aspect-based Sentiment Analysis (ABSA)

advanced_gnn

awesome-efficient-llm

A curated list for Efficient Large Language Models

awesome-gnn2mlp-distillation

Learning MLPs to replace GNN

awesome-graph-llm

A collection of AWESOME things about Graph-Related LLMs.

awesome-mixture-of-experts

A collection of AWESOME things about mixture-of-experts

calender

cgcn

chineseheadlineediting

importance aware learning for neural headline editing

complex-order

coreferee

Coreference resolution for English, French, German and Polish, optimised for limited training data and easily extensible for further languages

data-to-text-generation

Some papers and datasets about Data-To-Text Generation

deep_gcns_torch

Pytorch Repo for "DeepGCNs: Can GCNs Go as Deep as CNNs?" ICCV2019 Oral https://www.deepgcns.org

diffkd

Official implementation for paper "Knowledge Diffusion for Distillation"

distant_supervision_nlg

Code for the paper "Partially-Aligned Data-to-Text Generation with Distant Supervision" in EMNLP 2020.

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

facedectionmatlab

ger-wsdm2023

The code for paper “Modeling Fine-grained Information via Knowledge-aware Hierarchical Graph for Zero-shot Entity Retrieval” in WSDM2023

gmi

Graph Representation Learning via Graphical Mutual Information Maximization

graph_transformer_networks

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

graphwriter-dgl

hetgt

Heterogeneous Graph Transformer for Graph-to-Sequence Learning

hku_beamer_template

hku beamer template

hosts

镜像：https://scaffrey.coding.net/p/hosts/git / https://git.qvq.network/googlehosts/hosts

interview_internal_reference

2019年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

iptv

Collection of 8000+ publicly available IPTV channels from all over the world

learngit

first attempt to learn git

llama-factory

Unify Efficient Fine-Tuning of 100+ LLMs

lstm-crf-pytorch-faster

An more than 1000X faster paralleled LSTM-CRF implementation modified from the slower version in the Pytorch official tutorial (URL:https://pytorch.org/tutorials/beginner/nlp/advanced_tutorial.html).

msdnet

Multi-Scale Dense Networks for Resource Efficient Image Classification （ICLR 2018 Oral）