Alternatives and similar repositories for dreamshard:

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

• daochenzha / autoshard
  [KDD 2022] AutoShard: Automated Embedding Table Sharding for Recommender Systems
  ☆21Updated last year
• daochenzha / neuroshard
  [MLSys 2023] Pre-train and Search: Efficient Embedding Table Sharding with Pre-trained Neural Cost Models
  ☆16Updated last year
• NUS-HPC-AI-Lab / Helen
  The official implementation of "Helen: Optimizing CTR Prediction Models with Frequency-wise Hessian Eigenvalue Regularization"
  ☆15Updated 10 months ago
• noveens / distill_cf
  [ NeurIPS '22 ] Data distillation for recommender systems. Shows equivalent performance with 2-3 orders less data.
  ☆22Updated last year
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆46Updated 8 months ago
• mingkai-zheng / GENIUS
  Can GPT-4 Perform Neural Architecture Search?
  ☆85Updated last year
• facebookresearch / AdaTT
  pytorch open-source library for the paper "AdaTT Adaptive Task-to-Task Fusion Network for Multitask Learning in Recommendations"
  ☆42Updated 5 months ago
• aniquetahir / JORA
  JORA: JAX Tensor-Parallel LoRA Library (ACL 2024)
  ☆32Updated 9 months ago
• devnkong / VQ-GNN
  Official implementation of our VQ-GNN paper (NeurIPS2021)
  ☆37Updated 3 years ago
• ml-jku / DIffUCO
  ☆34Updated 2 months ago
• microsoft / AutoMoE
  AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers
  ☆42Updated 2 years ago
• camlsys / degree-quant
  ICLR 2021
  ☆46Updated 3 years ago
• SamsungSAILMontreal / nino
  Code for "Accelerating Training with Neuron Interaction and Nowcasting Networks"
  ☆17Updated 3 weeks ago
• aoiang / LaMOO
  ☆28Updated 2 years ago
• Applied-Machine-Learning-Lab / Embedding-in-Recommender-Systems
  ☆25Updated last year
• jasperzhong / GNNFlow
  Distributed Deep Graph Learning Framework for Dynamic Graphs
  ☆11Updated 10 months ago
• DerrickYLJ / TidalDecode
  [ICLR 2025] TidalDecode: A Fast and Accurate LLM Decoding with Position Persistent Sparse Attention
  ☆26Updated last month
• zirui-ray-liu / Exact
  ☆19Updated 2 years ago
• THUMNLab / AutoGL-light
  ☆13Updated 7 months ago
• CEC-Agent / CEC
  Official Implementation of NeurIPS'23 Paper "Cross-Episodic Curriculum for Transformer Agents"
  ☆31Updated last year
• OpenNLPLab / LASP
  Linear Attention Sequence Parallelism (LASP)
  ☆76Updated 7 months ago
• facebookresearch / NasRec
  NASRec Weight Sharing Neural Architecture Search for Recommender Systems
  ☆29Updated last year
• Go0day / ToolRec-Code
  Towards LLM Empowered Recommendation via Tool Learning
  ☆15Updated 8 months ago
• nilesh2797 / ELIAS
  Official codebase for NeurIPS 2022 paper End-to-end Learning to Index and Search in Large Output Spaces
  ☆12Updated last year
• salesforce / RGRecSys
  ☆18Updated 2 years ago
• GATECH-EIC / Linearized-LLM
  [ICML 2024] When Linear Attention Meets Autoregressive Decoding: Towards More Effective and Efficient Linearized Large Language Models
  ☆28Updated 7 months ago
• hwang595 / Cuttlefish
  The implementation for MLSys 2023 paper: "Cuttlefish: Low-rank Model Training without All The Tuning"
  ☆43Updated last year
• wolfecameron / GIST
  Repository for "GIST: Distributed training for large-scale graph convolutional networks"
  ☆14Updated 2 years ago
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆77Updated 6 months ago
• apd10 / universal_memory_allocation
  ☆15Updated 2 years ago