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CRE-LLM: A Domain-Specific Chinese Relation Extraction Framework with Fine-tuned Large Language Model
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
计算机专业课（408）思维导图和笔记：计算机组成原理（第五版 王爱英），数据结构（王道），计算机网络（第七版 谢希仁），操作系统（第四版 汤小丹）
Awesome-LLM: a curated list of Large Language Model
ChatGLM3 series: Open Bilingual Chat LLMs | 开源双语对话语言模型
本项目旨在分享大模型相关技术原理以及实战经验（大模型工程化、大模型应用落地）
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
PyTorch code and checkpoints release for VanillaKD: https://arxiv.org/abs/2305.15781
✨✨Latest Advances on Multimodal Large Language Models
[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)
[NAACL 2022 Findings] Good Visual Guidance Makes A Better Extractor: Hierarchical Visual Prefix for Multimodal Entity and Relation Extraction
PyGCL: A PyTorch Library for Graph Contrastive Learning
Graph Convolutional Networks for Text Classification. AAAI 2019
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction (authors' PyTorch implementation)
Code and preprocessed dataset for EMNLP 2019 paper titled "Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks"
Scrape the Twitter frontend API without authentication with Golang.
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
📋 A list of open LLMs available for commercial use.
NES-style CSS Framework | ファミコン風CSSフレームワーク
对知识库Wikidata的爬虫以及数据处理脚本 将三元组关系对齐到语料库的脚本 获取知识图谱数据的脚本
Pytorch implementation of "CIL: Contrastive Instance Learning Framework for Distantly Supervised Relation Extraction"
A Large-Scale Few-Shot Relation Extraction Dataset
Master the command line, in one page
Must-read papers on prompt-based tuning for pre-trained language models.
《Software Engineering at Google》的中英文对译版本