FrankZhao1999

FrankZhao1999's Stars

• fengdu78/Coursera-ML-AndrewNg-Notes

  吴恩达老师的机器学习课程个人笔记

  Language:HTML31.5k10.6k

• DS-100/sp22

  sp22 public facing repo

  Language:Jupyter Notebook5751

• asappresearch/structshot

  Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning

  Language:Python5718

• thunlp/Few-NERD

  Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"

  Language:Python38555

• ShuheWang1998/GPT-NER

  Language:Python20219

• THUDM/ChatGLM-6B

  ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型

  Language:Python40.4k5.2k

• ishan0102/vimGPT

  Browse the web with GPT-4V and Vimium

  Language:Python2.6k197

• open-mmlab/mmpose

  OpenMMLab Pose Estimation Toolbox and Benchmark.

  Language:Python5.6k1.2k

• suhejian/CADEC-data-process

  对CADEC数据的处理

  Language:Python5

• solkx/TOE

  Language:Python101

• cslydia/Hire-NER

  Codes for the paper Hierarchical Contextualized Representation for Named Entity Recognition

  Language:Python515

• spyysalo/jnlpba

  Tools and resources related to the JNLPBA corpus

  Language:Python55

• dainlp/acl2020-transition-discontinuous-ner

  Language:Python659

• google-research/tuning_playbook

  A playbook for systematically maximizing the performance of deep learning models.

  26.3k2.2k

• zqtan1024/sequence-to-set

  Language:Python4911

• fastnlp/TENER

  Codes for "TENER: Adapting Transformer Encoder for Named Entity Recognition"

  Language:Python37055

• yahshibu/nested-ner-tacl2020-transformers

  Implementation of Nested Named Entity Recognition using BERT

  Language:Python13824

• yhcc/BARTNER

  Language:Python21323

• ljynlp/W2NER

  Source code for AAAI 2022 paper: Unified Named Entity Recognition as Word-Word Relation Classification

  Language:Python50382

• Wensi-Tang/OS-CNN

  Language:TypeScript13624

• ShannonAI/mrc-for-flat-nested-ner

  Code for ACL 2020 paper `A Unified MRC Framework for Named Entity Recognition`

  Language:Python656117

• open-mmlab/mmdetection

  OpenMMLab Detection Toolbox and Benchmark

  Language:Python29.1k9.4k

• gaomingqi/Track-Anything

  Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

  Language:Python6.4k472

• xtekky/gpt4free

  The official gpt4free repository | various collection of powerful language models

  Language:Python59.9k13.2k

• formulahendry/955.WLB

  955 不加班的公司名单 - 工作 955，work–life balance (工作与生活的平衡)

  34.6k1.7k

• thuml/Autoformer

  About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008

  Language:Jupyter Notebook1.9k410

• cure-lab/LTSF-Linear

  [AAAI-23 Oral] Official implementation of the paper "Are Transformers Effective for Time Series Forecasting?"

  Language:Python1.9k437

• IkeYang/machine-vision-assisted-deep-time-series-analysis-MV-DTSA-

  Language:Python161

• yuqinie98/PatchTST

  An offical implementation of PatchTST: "A Time Series is Worth 64 Words: Long-term Forecasting with Transformers." (ICLR 2023) https://arxiv.org/abs/2211.14730

  Language:Python1.5k260

• Significant-Gravitas/AutoGPT

  AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

  Language:Python166k44.1k