Alternatives and similar repositories for watchmen:

Users that are interested in watchmen are comparing it to the libraries listed below

• RunxinXu / ChildTuning
  Source code for our EMNLP'21 paper 《Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning》
  ☆60Updated 3 years ago
• pkunlp-icler / ChildTuning
  ☆33Updated 3 years ago
• RenShuhuai-Andy / gpu_lurker
  服务器 GPU 监控程序，当 GPU 属性满足预设条件时通过微信发送提示消息
  ☆32Updated 3 years ago
• Spico197 / REx
  🎮 A toolkit for Relation Extraction and more...
  ☆24Updated 6 months ago
• SihengLi99 / TextBind
  [2024-ACL]: TextBind: Multi-turn Interleaved Multimodal Instruction-following in the Wildrounded Conversation
  ☆47Updated last year
• llyx97 / sparse-and-robust-PLM
  [NeurIPS 2022] "A Win-win Deal: Towards Sparse and Robust Pre-trained Language Models", Yuanxin Liu, Fandong Meng, Zheng Lin, Jiangnan Li…
  ☆21Updated last year
• kugwzk / DiDE
  Code for EMNLP 2022 paper “Distilled Dual-Encoder Model for Vision-Language Understanding”
  ☆30Updated 2 years ago
• bojone / LST-CLUE
  Ladder Side-Tuning在CLUE上的简单尝试
  ☆20Updated 2 years ago
• yikangshen / MoA
  Mixture of Attention Heads
  ☆44Updated 2 years ago
• Hzfinfdu / PLMTuningCompetition
  擂台赛3-大规模预训练调优比赛的示例代码与baseline实现
  ☆38Updated 2 years ago
• nuaa-nlp / paper-reading
  ☆46Updated 2 weeks ago
• yhy1117 / X-Mixup
  Implementation of ICLR 2022 paper "Enhancing Cross-lingual Transfer by Manifold Mixup".
  ☆21Updated 2 years ago
• morningmoni / UniPELT
  Code for paper "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning", ACL 2022
  ☆59Updated 3 years ago
• JetRunner / MetaDistil
  Code for ACL 2022 paper "BERT Learns to Teach: Knowledge Distillation with Meta Learning".
  ☆86Updated 2 years ago
• simtony / mlrunner
  A light-weight script for maintaining a LOT of machine learning experiments.
  ☆91Updated 2 years ago
• MLNLP-World / Top-Conference-WeChat-Group
  ☆56Updated 2 years ago
• benywon / ChiQA
  The implementations of various baselines in our CIKM 2022 paper: ChiQA: A Large Scale Image-based Real-World Question Answering Dataset f…
  ☆33Updated 11 months ago
• TobiasLee / Awesome-Efficient-PLM
  Must-read papers on improving efficiency for pre-trained language models.
  ☆103Updated 2 years ago
• GeneZC / MiniMoE
  Code for ACL 2023 paper titled "Lifting the Curse of Capacity Gap in Distilling Language Models"
  ☆28Updated last year
• lemon0830 / promptCSE
  code for promptCSE, emnlp 2022
  ☆11Updated 2 years ago
• lancopku / DynamicKD
  Code for EMNLP 2021 main conference paper "Dynamic Knowledge Distillation for Pre-trained Language Models"
  ☆40Updated 2 years ago
• JingfengYang / Multi-modal-Deep-Learning
  ☆73Updated 3 years ago
• deng1fan / GpuQueuer
  Gpu 任务排队
  ☆2Updated last year
• HKUNLP / efficient-attention
  [EVA ICLR'23; LARA ICML'22] Efficient attention mechanisms via control variates, random features, and importance sampling
  ☆85Updated 2 years ago
• bytedance / MTVQA
  MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering. A comprehensive evaluation of multimodal large model multilingua…
  ☆56Updated last month
• thunlp / TR-BERT
  Source code for NAACL 2021 paper "TR-BERT: Dynamic Token Reduction for Accelerating BERT Inference"
  ☆47Updated 2 years ago
• CMMMU-Benchmark / CMMMU
  ☆46Updated 8 months ago
• RunxinXu / ContrastivePruning
  Source code for our AAAI'22 paper 《From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression》
  ☆24Updated 3 years ago
• zhouj8553 / FlipDA
  ☆66Updated last year
• lancopku / well-classified-examples-are-underestimated
  Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"
  ☆51Updated 2 years ago