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Simple & Powerful proxy utility, Support routing rules for clash/sing-box
[EMNLP 2023] MQuAKE: Assessing Knowledge Editing in Language Models via Multi-Hop Questions
Repo for BenTsao [original name: HuaTuo (华驼)], Instruction-tuning Large Language Models with Chinese Medical Knowledge. 本草（原名：华驼）模型仓库，基于中文医学知识的大语言模型指令微调
Dataset for Unified Editing, EMNLP 2023. This is a model editing dataset where edits are natural language phrases.
Safe RLHF: Constrained Value Alignment via Safe Reinforcement Learning from Human Feedback
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
LLaMA-TRL: Fine-tuning LLaMA with PPO and LoRA
Official code for "Can Wikipedia Help Offline Reinforcement Learning?" by Machel Reid, Yutaro Yamada and Shixiang Shane Gu
Train transformer language models with reinforcement learning.
Unlock your displays on your Mac! Flexible HiDPI scaling, XDR/HDR extra brightness, virtual screens, DDC control, extra dimming, PIP/streaming, EDID override and lots more!
TorchKGE: Knowledge Graph embedding in Python and PyTorch.
一键中文数据增强包 ； NLP数据增强、bert数据增强、EDA：pip install nlpcda
μKG: A Library for Multi-source Knowledge Graph Embeddings and Applications, ISWC 2022
Enable macOS HiDPI and have a native setting.
repo for "Few-shot Knowledge Probing for Pretrained Language Models"
Code for NeurIPS 2019 - Glyce: Glyph-vectors for Chinese Character Representations
北京航空航天大学大数据高精尖中心自然语言处理研究团队开展了智能问答的研究与应用总结。包括基于知识图谱的问答（KBQA），基于文本的问答系统（TextQA），基于表格的问答系统（TableQA）、基于视觉的问答系统（VisualQA）和机器阅读理解（MRC）等，每类任务分别对学术界和工业界进行了相关总结。
This repository contains a Chinese KBQA dataset expanded from CCKS CKBQA Competition Dataset.
Source code for "UniRE: A Unified Label Space for Entity Relation Extraction.", ACL2021. It is based on our NERE toolkit (https://github.com/Receiling/NERE).
⚡️Optimizing einsum functions in NumPy, Tensorflow, Dask, and more with contraction order optimization.
The CRF Layer was implemented by using Chainer 2.0. Please see more details here: https://createmomo.github.io/2017/09/12/CRF_Layer_on_the_Top_of_BiLSTM_1/
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text