Alternatives and similar repositories for gpu_lurker

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

• RunxinXu / ContrastivePruning
  Source code for our AAAI'22 paper 《From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression》
  ☆25Updated 3 years ago
• pkunlp-icler / ChildTuning
  ☆32Updated 3 years ago
• SihengLi99 / TextBind
  [2024-ACL]: TextBind: Multi-turn Interleaved Multimodal Instruction-following in the Wildrounded Conversation
  ☆47Updated 2 years ago
• RUCAIBox / JiuZhang3.0
  The code and data for the paper JiuZhang3.0
  ☆49Updated last year
• RUCAIBox / CARP
  ☆17Updated 2 years ago
• 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
• lancopku / MUKI
  [Findings of EMNLP22] From Mimicking to Integrating: Knowledge Integration for Pre-Trained Language Models
  ☆19Updated 2 years ago
• RenShuhuai-Andy / my-tools
  my commonly-used tools
  ☆61Updated 8 months ago
• TobiasLee / VEC
  Visual and Embodied Concepts evaluation benchmark
  ☆21Updated last year
• Spico197 / watchmen
  😎 A simple and easy-to-use toolkit for GPU scheduling.
  ☆46Updated 4 months ago
• TobiasLee / Awesome-Efficient-PLM
  Must-read papers on improving efficiency for pre-trained language models.
  ☆105Updated 2 years ago
• Yifan-Song793 / GoodBadGreedy
  The Good, The Bad, and The Greedy: Evaluation of LLMs Should Not Ignore Non-Determinism
  ☆30Updated last year
• Hunter-DDM / stablemoe
  Code for the ACL-2022 paper "StableMoE: Stable Routing Strategy for Mixture of Experts"
  ☆50Updated 3 years ago
• pkunlp-icler / GroupMeeting
  Group Meeting Record for Baobao Chang Group in Peking University
  ☆26Updated 4 years ago
• HKUNLP / efficient-attention
  [EVA ICLR'23; LARA ICML'22] Efficient attention mechanisms via control variates, random features, and importance sampling
  ☆86Updated 2 years ago
• yegcjs / mixinglaws
  ☆104Updated 2 months ago
• RunxinXu / ChildTuning
  Source code for our EMNLP'21 paper 《Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning》
  ☆61Updated 3 years ago
• dqxiu / PLMs-with-Knowledge
  ☆16Updated 3 years ago
• princeton-nlp / CEPE
  [ACL 2024] Long-Context Language Modeling with Parallel Encodings
  ☆163Updated last year
• OpenMOSS / Say-I-Dont-Know
  [ICML'2024] Can AI Assistants Know What They Don't Know?
  ☆83Updated last year
• Zce1112zslx / ChID_baseline
  计算语言学22-23学年秋季学期 课程大作业baseline实现
  ☆38Updated 2 years ago
• lfy79001 / S3Eval
  [NAACL 2024] A Synthetic, Scalable and Systematic Evaluation Suite for Large Language Models
  ☆33Updated last year
• Spico197 / MoE-SFT
  🍼 Official implementation of Dynamic Data Mixing Maximizes Instruction Tuning for Mixture-of-Experts
  ☆40Updated 11 months ago
• RZFan525 / Awesome-ScalingLaws
  A curated list of awesome resources dedicated to Scaling Laws for LLMs
  ☆77Updated 2 years ago
• gmftbyGMFTBY / Rep-Dropout
  [NeurIPS 2023] Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective
  ☆36Updated last year
• sail-sg / regmix
  [ICLR 2025] 🧬 RegMix: Data Mixture as Regression for Language Model Pre-training (Spotlight)
  ☆168Updated 7 months ago
• nuaa-nlp / paper-reading
  ☆45Updated 4 months ago
• Shwai-He / MEO
  The source code of "Merging Experts into One: Improving Computational Efficiency of Mixture of Experts (EMNLP 2023)":
  ☆38Updated last year
• dvlab-research / Mr-Ben
  This is the repo for our paper "Mr-Ben: A Comprehensive Meta-Reasoning Benchmark for Large Language Models"
  ☆50Updated 10 months ago
• FranxYao / FlanT5-CoT-Specialization
  Implementation of ICML 23 Paper: Specializing Smaller Language Models towards Multi-Step Reasoning.
  ☆131Updated 2 years ago