Pinned Repositories
100-nlp-papers
100 Must-Read NLP Papers
12306
12306智能刷票，订票
2019-false-news-detection-challenge
智源研究院&中科院计算所-互联网虚假新闻检测挑战赛
2021-acl-factual-error-correction
ACL 2021
3rd-solution-COVID19-Fake-News-Detection-in-English
这个仓库是AAAI2021共享任务COVID19-Fake-News-Detection-in-English(虚假新闻检测)的第三名的解决方案
a_journey_into_math_of_ml
汉语自然语言处理视频教程-开源学习资料
AAAI_2019_EXAM
Official implementation of "Explicit Interaction Model towards Text Classification"
GCN-Align
Code of the paper: Cross-lingual Knowledge Graph Alignment via Graph Convolutional Networks.
leetcode
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)
LeetCode-1
LeetCode刷题记录与面试整理
anshiquanshu66's Repositories
anshiquanshu66/Adaptive-RAG
anshiquanshu66/alpaca-lora
Instruct-tune LLaMA on consumer hardware
anshiquanshu66/Awesome-Chinese-LLM
整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。
anshiquanshu66/baby-llama2-chinese
用于从头预训练+SFT一个小参数量的中文LLaMa2的仓库；24G单卡即可运行得到一个具备简单中文问答能力的chat-llama2.
anshiquanshu66/Can-MC-Evaluate-LLMs
Can multiple-choice questions really be useful in detecting the abilities of LLMs?
anshiquanshu66/Chinese-LLaMA-Alpaca
中文LLaMA&Alpaca大语言模型+本地CPU/GPU训练部署 (Chinese LLaMA & Alpaca LLMs)
anshiquanshu66/CodeT
anshiquanshu66/DRAGIN
DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models
anshiquanshu66/EasyEdit
An Easy-to-use Knowledge Editing Framework for LLMs.
anshiquanshu66/FedJudge
FedJudge: Federated Legal Large Language Model
anshiquanshu66/FOLK
anshiquanshu66/FuseAI
FuseLLM & FuseChat Project
anshiquanshu66/GLM-4
GLM-4 series: Open Multilingual Multimodal Chat LMs | 开源多语言多模态对话模型
anshiquanshu66/GreenPepper
anshiquanshu66/IAG
Preprint: Imagination Augmented Generation: Learning to Imagine Richer Context for Question Answering over Large Language Models
anshiquanshu66/implicit_chain_of_thought
anshiquanshu66/IoE-Prompting
anshiquanshu66/lawyer-llama
中文法律LLaMA (LLaMA for Chinese legel domain)
anshiquanshu66/llama_index
LlamaIndex is a data framework for your LLM applications
anshiquanshu66/LLM
大语言模型应用：RAG、NL2SQL、聊天机器人、预训练、MOE混合专家模型、微调训练、强化学习、天池数据竞赛
anshiquanshu66/llm-action
本项目旨在分享大模型相关技术原理以及实战经验。
anshiquanshu66/LLM-RAG-QA
LLM+RAG for QA
anshiquanshu66/LLMBar
[ICLR 2024] Evaluating Large Language Models at Evaluating Instruction Following
anshiquanshu66/Mini-Llama2-Chinese
想要从零开始训练一个中文的mini大语言模型，可以进行基本的对话，模型大小根据手头的机器决定
anshiquanshu66/mm-llms.github.io
anshiquanshu66/MoleculeSTM
Multi-modal Molecule Structure-text Model for Text-based Editing and Retrieval, Nat Mach Intell 2023 (https://www.nature.com/articles/s42256-023-00759-6)
anshiquanshu66/ProG
All in One: Multi-task Prompting for Graph Neural Networks, KDD 2023.
anshiquanshu66/self-llm
《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**宝宝的部署教程
anshiquanshu66/singa
a distributed deep learning platform
anshiquanshu66/text2vec
text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。