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
  ☆22Updated 2 years ago
• aniquetahir / JORA
  JORA: JAX Tensor-Parallel LoRA Library (ACL 2024)
  ☆36Updated last year
• OpenNLPLab / LASP
  Linear Attention Sequence Parallelism (LASP)
  ☆86Updated last year
• wolfecameron / GIST
  Repository for "GIST: Distributed training for large-scale graph convolutional networks"
  ☆15Updated 2 years ago
• microsoft / AutoMoE
  AutoMoE: Neural Architecture Search for Efficient Sparsely Activated Transformers
  ☆47Updated 2 years ago
• shreyansh26 / Attention-Mask-Patterns
  Using FlexAttention to compute attention with different masking patterns
  ☆44Updated 11 months ago
• automl / zero-shot-automl-with-pretrained-models
  Official repository for the paper "Zero-Shot AutoML with Pretrained Models"
  ☆47Updated last year
• mingkai-zheng / GENIUS
  Can GPT-4 Perform Neural Architecture Search?
  ☆86Updated 2 years ago
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆47Updated last year
• lchen001 / FrugalML
  This is the repository holding code and data for "FrugalML: How to Use ML Prediction APIs More Accurately and Cheaply".
  ☆35Updated 4 years ago
• mkofinas / neural-graphs
  Official source code for "Graph Neural Networks for Learning Equivariant Representations of Neural Networks". In ICLR 2024 (oral).
  ☆82Updated last year
• PKU-DAIR / mindware
  An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture sear…
  ☆58Updated 3 years ago
• mazumder-lab / COMET
  Code for COMET: Cardinality Constrained Mixture of Experts with Trees and Local Search
  ☆11Updated 2 years ago
• facebookresearch / macta
  MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection
  ☆45Updated 2 years ago
• aoiang / LaMOO
  ☆29Updated 2 years ago
• likenneth / q_probe
  Q-Probe: A Lightweight Approach to Reward Maximization for Language Models
  ☆41Updated last year
• Asap7772 / understanding-rlhf
  Learning from preferences is a common paradigm for fine-tuning language models. Yet, many algorithmic design decisions come into play. Ou…
  ☆30Updated last year
• Ryu1845 / hyena-jax
  Implementation of Hyena Hierarchy in JAX
  ☆10Updated 2 years ago
• gregorbachmann / scaling_mlps
  ☆51Updated last year
• abaheti95 / LoL-RL
  Advantage Leftover Lunch Reinforcement Learning (A-LoL RL): Improving Language Models with Advantage-based Offline Policy Gradients
  ☆26Updated 11 months ago
• Infini-AI-Lab / GRESO
  ☆50Updated 2 months ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆81Updated 2 years ago
• dinobby / MAGDi
  The code implementation of MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models…
  ☆36Updated last year
• kyegomez / Blockwise-Parallel-Transformer
  32 times longer context window than vanilla Transformers and up to 4 times longer than memory efficient Transformers.
  ☆49Updated 2 years ago
• EdinburghNLP / torch-adaptive-imle
  ☆35Updated 8 months ago
• annosubmission / GRC-Cache
  ☆16Updated 2 years ago
• nilesh2797 / ELIAS
  Official codebase for NeurIPS 2022 paper End-to-end Learning to Index and Search in Large Output Spaces
  ☆12Updated 2 years ago
• stanford-crfm / helm-efficiency
  ☆10Updated last year
• kiddyboots216 / lottery-ticket-adaptation
  Lottery Ticket Adaptation
  ☆39Updated 9 months ago
• facebookresearch / taskmet
  TaskMet Task-driven Metric Learning for Model Learning
  ☆19Updated last year