Alternatives and similar repositories for balanced-kmeans:

Users that are interested in balanced-kmeans are comparing it to the libraries listed below

• dangxingyu / rnn-icrag
  Official repository of paper "RNNs Are Not Transformers (Yet): The Key Bottleneck on In-context Retrieval"
  ☆27Updated last year
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆43Updated 7 months ago
• yikangshen / megablocks
  ☆20Updated 11 months ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆80Updated last year
• ylsung / vl-merging
  PyTorch codes for the paper "An Empirical Study of Multimodal Model Merging"
  ☆38Updated last year
• sjelassi / transformers_ssm_copy
  ☆31Updated last year
• wzq016 / PINE
  Offcial Repo of Paper "Eliminating Position Bias of Language Models: A Mechanistic Approach""
  ☆14Updated 8 months ago
• hadasah / btm
  ☆72Updated last year
• VITA-Group / Junk_DNA_Hypothesis
  [ICML 2024] Junk DNA Hypothesis: A Task-Centric Angle of LLM Pre-trained Weights through Sparsity; Lu Yin*, Ajay Jaiswal*, Shiwei Liu, So…
  ☆16Updated 3 weeks ago
• VITA-Group / Random-MoE-as-Dropout
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆51Updated 2 years ago
• glassroom / heinsen_attention
  Reference implementation of "Softmax Attention with Constant Cost per Token" (Heinsen, 2024)
  ☆24Updated 11 months ago
• felixzli / synthetic_pretraining
  ☆39Updated 2 years ago
• VITA-Group / LoCoCo
  [ICML‘2024] "LoCoCo: Dropping In Convolutions for Long Context Compression", Ruisi Cai, Yuandong Tian, Zhangyang Wang, Beidi Chen
  ☆16Updated 8 months ago
• VITA-Group / EarlyBERT
  [ACL-IJCNLP 2021] "EarlyBERT: Efficient BERT Training via Early-bird Lottery Tickets" by Xiaohan Chen, Yu Cheng, Shuohang Wang, Zhe Gan, …
  ☆18Updated 3 years ago
• UW-Madison-Lee-Lab / Expressive_Power_of_LoRA
  Code for "The Expressive Power of Low-Rank Adaptation".
  ☆20Updated last year
• tanyuqian / redco
  NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
  ☆65Updated 5 months ago
• microsoft / AutoMoE
  AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers
  ☆46Updated 2 years ago
• locuslab / scaling_laws_data_filtering
  ☆64Updated last year
• allenai / sso
  Repository for Skill Set Optimization
  ☆12Updated 9 months ago
• emalach / LinearLM
  Code for the paper: https://arxiv.org/pdf/2309.06979.pdf
  ☆19Updated 9 months ago
• Leooyii / LCEG
  Long Context Extension and Generalization in LLMs
  ☆54Updated 7 months ago
• Doraemonzzz / hgru2-pytorch
  ☆23Updated 7 months ago
• data-for-agents / insta
  Official Repo for InSTA: Towards Internet-Scale Training For Agents
  ☆36Updated 2 weeks ago
• nathanhu0 / CaMeLS
  Codebase for Context-aware Meta-learned Loss Scaling (CaMeLS). https://arxiv.org/abs/2305.15076.
  ☆25Updated last year
• varunnair18 / FISH
  Code for "Training Neural Networks with Fixed Sparse Masks" (NeurIPS 2021).
  ☆58Updated 3 years ago
• terarachang / DataICL
  Data Valuation on In-Context Examples (ACL23)
  ☆23Updated 3 months ago
• sustcsonglin / gated_linear_attention_layer
  ☆32Updated last year
• HazyResearch / prefix-linear-attention
  ☆53Updated 10 months ago
• GSYfate / knnlm-limits
  Official code repo for paper "Great Memory, Shallow Reasoning: Limits of kNN-LMs"
  ☆23Updated last week
• maszhongming / ParaKnowTransfer
  Code for "Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective"
  ☆32Updated last year