tangshaopeng

tangshaopeng's Stars

• hiyouga/LLaMA-Factory

  Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)

  Language:Python38.7k2255.8k4.8k

• huggingface/peft

  🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

  Language:Python17.1k1111.1k1.7k

• audacity/audacity

  Audio Editor

  Language:C13k2704.6k2.3k

• datawhalechina/self-llm

  《开源大模型食用指南》针对**宝宝量身打造的基于Linux环境快速微调（全参数/Lora）、部署国内外开源大模型（LLM）/多模态大模型（MLLM）教程

  Language:Jupyter Notebook11.7k801951.3k

• stanfordnlp/GloVe

  Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings

  Language:C6.9k2311621.5k

• sczhou/ProPainter

  [ICCV 2023] ProPainter: Improving Propagation and Transformer for Video Inpainting

  Language:Python5.9k5790677

• WangRongsheng/awesome-LLM-resourses

  🧑‍🚀 全世界最好的LLM资料总结 | Summary of the world's best LLM resources.

  3k464347

• meetDeveloper/freeDictionaryAPI

  There was no free Dictionary API on the web when I wanted one for my friend, so I created one.

  Language:JavaScript2.8k39177272

• ObjTube/front-end-roadmap

  Tell you how to learn front end development ~

  Language:JavaScript2.7k4310794

• datawhalechina/tiny-universe

  《大模型白盒子构建指南》：一个全手搓的Tiny-Universe

  Language:Python2k1916203

• MetaGLM/FinGLM

  FinGLM: 致力于构建一个开放的、公益的、持久的金融大模型项目，利用开源开放来促进「AI+金融」。

  Language:HTML1.9k2730279

• piskvorky/gensim-data

  Data repository for pretrained NLP models and NLP corpora.

  Language:Python9963943138

• PrithivirajDamodaran/Parrot_Paraphraser

  A practical and feature-rich paraphrasing framework to augment human intents in text form to build robust NLU models for conversational engines. Created by Prithiviraj Damodaran. Open to pull requests and other forms of collaboration.

  Language:Python8831446148

• Mikoto10032/AutomaticWeightedLoss

  Multi-task learning using uncertainty to weigh losses for scene geometry and semantics, Auxiliary Tasks in Multi-task Learning

  Language:Python59551883

• ranandalon/mtl

  Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics

  Language:Python54971580

• iqiukp/SVDD-Python

  Python code for abnormal detection using Support Vector Data Description (SVDD)

  Language:Python19221058

• xuuuluuu/SemEval-Triplet-data

  Aspect Sentiment Triplet Extraction (ASTE) dataset in AAAI 2020, EMNLP 2020 and ACL 2021.

  1614420

• averkij/lingtrain-aligner

  Lingtrain Aligner — ML powered library for the accurate texts alignment.

  Language:Python1251279

• NJUNLP/GTS

  Code and data for paper "Grid Tagging Scheme for Aspect-oriented Fine-grained Opinion Extraction". Aspect opinion pair datasets and aspect triplet datasets.

  Language:Python8872026

• oscarkey/multitask-learning

  MSc group project: Reproduction of 'Multi-Task Learning using Uncertainty to Weigh Losses for Scene Geometry and Semantics'; A. Kendall, Y. Gal, R. Cipolla

  Language:Jupyter Notebook865812

• lansinuote/Simple_LLM_DPO

  Language:Jupyter Notebook641113

• CCChenhao997/EMCGCN-ASTE

  Enhanced Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction

  Language:Python5121424

• HITSZ-HLT/BDTF-ABSA

  Released code for「Boundary-Driven Table-Filling for Aspect Sentiment Triplet Extraction」 in EMNLP2022.

  Language:Python30253

• CCIIPLab/STAGE

  The source code for "STAGE: Span Tagging and Greedy Inference Scheme for Aspect Sentiment Triplet Extraction".

  Language:Python25220

• BaoSir529/dual-encoder4aste

  This is for paper "A semantically enhanced dual encoder for aspect sentiment triplet extraction"

  Language:Python20141

• HITSZ-HLT/T2S-Augmentation

  Released code for「Target-to-Source Augmentation for Aspect Sentiment Triplet Extraction」in EMNLP2023.

  Language:Python12220

• sagorbrur/bnaug

  Bangla Text Augmentation

  Language:Jupyter Notebook12111

• zzp-seeker/COM-MRC

  EMNLP 2022 主会论文 ASTE任务 COM-MRC代码

  Language:Python8230

• zzp-seeker/USSA

  Language:Python6110

• ecnudon/SimSTAR

  Official implementation of paper "Simple Approach for Aspect Sentiment Triplet Extraction using Span-based Segment Tagging and Dual Extractors"

  Language:Python4130