Alternatives and similar repositories for moshpit-sgd:

Users that are interested in moshpit-sgd are comparing it to the libraries listed below

• YuhanLiu11 / AutoFreeze
  ☆22Updated 4 years ago
• microsoft / fnl_paper
  Factorized Neural Layers
  ☆27Updated last year
• HazyResearch / mongoose
  A Learnable LSH Framework for Efficient NN Training
  ☆31Updated 3 years ago
• Distributed-AI / PipeTransformer
  PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021
  ☆56Updated 3 years ago
• hangxu0304 / DeepReduce
  A Sparse-tensor Communication Framework for Distributed Deep Learning
  ☆13Updated 3 years ago
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆30Updated last year
• jfainberg / hashed_nets
  PyTorch implementation of HashedNets
  ☆36Updated 2 years ago
• uw-mad-dash / AutoFreeze
  ☆14Updated 4 years ago
• juntang-zhuang / ACProp-Optimizer
  Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)
  ☆15Updated 3 years ago
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆47Updated last year
• DS3Lab / AC-SGD
  Code associated with the paper **Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees**.
  ☆28Updated 2 years ago
• ucbrise / hypersched
  Deadline-based hyperparameter tuning on RayTune.
  ☆31Updated 5 years ago
• jiaweizzhao / signSGD-with-Majority-Vote
  ☆74Updated 5 years ago
• srush / tangent
  Source-to-Source Debuggable Derivatives in Pure Python
  ☆15Updated last year
• tanyuqian / redco
  NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
  ☆65Updated 4 months ago
• sjunhongshen / DASH
  ☆22Updated 2 years ago
• DS3Lab / CocktailSGD
  ☆27Updated last year
• vvvm23 / mezo-jax
  JAX implementation of "Fine-Tuning Language Models with Just Forward Passes"
  ☆19Updated last year
• mryab / learning-at-home
  "Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts" (NeurIPS 2020), original PyTorch implemen…
  ☆54Updated 4 years ago
• lucidrains / kronecker-attention-pytorch
  Implementation of Kronecker Attention in Pytorch
  ☆18Updated 4 years ago
• nick11roberts / XD
  ☆11Updated 2 years ago
• google-research / dp-imagenet
  ☆37Updated 3 years ago
• minhtannguyen / SRSGD
  Code base for SRSGD.
  ☆28Updated 5 years ago
• lucidrains / mlp-gpt-jax
  A GPT, made only of MLPs, in Jax
  ☆57Updated 3 years ago
• ray-project / distml
  Distributed ML Optimizer
  ☆32Updated 3 years ago
• facebookresearch / MODel_opt
  Memory Optimizations for Deep Learning (ICML 2023)
  ☆64Updated last year
• facebookresearch / fairring
  Fairring (FAIR + Herring) is a plug-in for PyTorch that provides a process group for distributed training that outperforms NCCL at large …
  ☆65Updated 3 years ago
• js-d / sim_metric
  ☆35Updated last year
• liamcli / darts_asha
  Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."
  ☆22Updated 5 years ago
• JingzhaoZhang / why-clipping-accelerates
  A pytorch implementation for the LSTM experiments in the paper: Why Gradient Clipping Accelerates Training: A Theoretical Justification f…
  ☆46Updated 5 years ago