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Augmenting Imbalance Text Classification Using GANs
(EMNLP 2023 Findings) Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical Classification.
A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.
基于pytorch的不平衡数据的文本分类
OpenICL is an open-source framework to facilitate research, development, and prototyping of in-context learning.
《开源大模型食用指南》基于Linux环境快速部署开源大模型,更适合中国宝宝的部署教程
pytextclassifier is a toolkit for text classification. 文本分类,LR,Xgboost,TextCNN,FastText,TextRNN,BERT等分类模型实现,开箱即用。
using LSVM, SVM, TFIDF, BOW, NB, PA, LR
using roberta, fastai, bert, traditional ml models, XLnet
A collection of research materials on explainable AI/ML
FaceChain is a deep-learning toolchain for generating your Digital-Twin.
🚀 阿里通义千问2.5大模型逆向API白嫖测试【特长:六边形战士】,支持高速流式输出、无水印AI绘图、长文档解读、图像解析、多轮对话,零配置部署,多路token支持,自动清理会话痕迹。
GLM-4 series: Open Multilingual Multimodal Chat LMs | 开源多语言多模态对话模型
Implementation-of-VGCN-BERT-for-Rumour-Detection
Graph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs (ACL 2024)
Implementation of GPT-who: A Machine-Text Detector
AI-generated reviews mirroring the famous Myle Ott's opinion spam dataset
A curated list of graph-based fraud, anomaly, and outlier detection papers & resources
🔨 🍇 💻 🚀 GraphScope: A One-Stop Large-Scale Graph Computing System from Alibaba | 一站式图计算系统
A Python Library for Graph Outlier Detection (Anomaly Detection)
A Deep Graph-based Toolbox for Fraud Detection
[WSDM'2024 Oral] "LLMRec: Large Language Models with Graph Augmentation for Recommendation"
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Get up and running with Llama 3.1, Mistral, Gemma 2, and other large language models.
CVPR'24, Official Codebase of our Paper: "Let's Think Outside the Box: Exploring Leap-of-Thought in Large Language Models with Creative Humor Generation".
Continuously updated list of related resources for generative LLMs like GPT and their analysis and detection.