struggle-forever Goto Github PK

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-nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

2016-10-facebook-fact-check

Data and analysis for the BuzzFeed News article, "Hyperpartisan Facebook Pages Are Publishing False And Misleading Information At An Alarming Rate."

bbn

The official PyTorch implementation of paper BBN: Bilateral-Branch Network with Cumulative Learning for Long-Tailed Visual Recognition

buaathesis

北航研究生学位论文模板（Word+LaTeX）.

cal

[KDD 2022] "Causal Attention for Interpretable and Generalizable Graph Classification" by YongduoSui, Xiang Wang, Jiancan Wu, Min Lin, Xiangnan He, Tat-Seng Chua

chatgpt-anything

All latest chatgpt messages collection！ 收集国内免费ChatGPT镜像，替代品收录，点个Star⭐️，持续更新ing！

chatgpt-django

使用阿里云轻量级服务器+Django+Nginx+gpt-3.5-turbo开发一个ChatGPT前端

chinese_rumor_dataset

中文谣言数据

coaid

cross-domain-fake-news-detection-aaai2021

This repository provides a reference implementation of the paper titled "Embracing Domain Differences in Fake News: Cross-domain Fake News Detection using Multi-modal Data"

dann_py3

python 3 pytorch implementation of DANN

dcl

NeurIPS 2020, Debiased Contrastive Learning

decoupled-contrastive-learning

This repository is an implementation for the loss function proposed in https://arxiv.org/pdf/2110.06848.pdf.

deep-unsupervised-domain-adaptation

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

eann-kdd18

EANN: event-adversarial neural networks for multi-modal fake news detection

ebgcn

factoid-dataset

Code for FACTOID dataset paper in LREC 2022

fake-news

Building a fake news detector from initial ideation to model deployment

fake-news-detection

This repo is a collection of AWESOME things about fake news detection, including papers, code, etc.

fake_news_detection_gnns

fakenewsnet

This is a dataset for fake news detection research

false-news-detection

gacl

gnn-fakenews

A collection of GNN-based fake news detection models.

grace

[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

graphcl

[NeurIPS 2020] "Graph Contrastive Learning with Augmentations" by Yuning You, Tianlong Chen, Yongduo Sui, Ting Chen, Zhangyang Wang, Yang Shen

graphssl

hugging-llm

HuggingLLM, Hugging Future.