Alternatives and similar repositories for moshpit-sgd

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

• mryab / learning-at-home
  "Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts" (NeurIPS 2020), original PyTorch implemen…
  ☆57Updated 4 years ago
• HazyResearch / mongoose
  A Learnable LSH Framework for Efficient NN Training
  ☆32Updated 4 years ago
• juntang-zhuang / ACProp-Optimizer
  Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)
  ☆16Updated 3 years ago
• microsoft / fnl_paper
  Factorized Neural Layers
  ☆30Updated 2 years ago
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆47Updated last year
• aoiang / LaMOO
  ☆29Updated 2 years ago
• lucidrains / deep-linear-network
  A simple implementation of a deep linear Pytorch module
  ☆21Updated 4 years ago
• automl / zero-shot-automl-with-pretrained-models
  Official repository for the paper "Zero-Shot AutoML with Pretrained Models"
  ☆47Updated last year
• princeton-nlp / DataMUX
  [NeurIPS 2022] DataMUX: Data Multiplexing for Neural Networks
  ☆60Updated 2 years ago
• tanyuqian / redco
  NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
  ☆68Updated 9 months ago
• DS3Lab / AC-SGD
  Code associated with the paper **Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees**.
  ☆28Updated 2 years ago
• gpauloski / kfac-pytorch
  Distributed K-FAC preconditioner for PyTorch
  ☆90Updated this week
• Distributed-AI / PipeTransformer
  PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021
  ☆56Updated 4 years ago
• lucidrains / mlp-gpt-jax
  A GPT, made only of MLPs, in Jax
  ☆58Updated 4 years ago
• lucidrains / token-shift-gpt
  Implementation of Token Shift GPT - An autoregressive model that solely relies on shifting the sequence space for mixing
  ☆50Updated 3 years ago
• IDSIA / recurrent-fwp
  Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)
  ☆50Updated 3 months ago
• srush / tangent
  Source-to-Source Debuggable Derivatives in Pure Python
  ☆15Updated last year
• 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
• davda54 / ada-hessian
  Easy-to-use AdaHessian optimizer (PyTorch)
  ☆79Updated 4 years ago
• nestordemeure / flaxOptimizers
  A collection of optimizers, some arcane others well known, for Flax.
  ☆29Updated 4 years ago
• ebadrian / metadl
  NeurIPS 2021 - Few-shot learning competition
  ☆26Updated 3 years ago
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆31Updated 2 years ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆81Updated 2 years ago
• DS3Lab / CocktailSGD
  ☆27Updated 2 years ago
• hyeon95y / SparseLinear
  A custom PyTorch layer that is capable of implementing extremely wide and sparse linear layers efficiently
  ☆51Updated last year
• g-benton / hessian-eff-dim
  Public Codebase for Rethinking Parameter Counting: Effective Dimensionality Revisited
  ☆37Updated 2 years ago
• srush / mamba-scans
  Blog post
  ☆17Updated last year
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆59Updated 2 years ago
• ganguli-lab / degrees-of-freedom
  ☆37Updated 3 years ago
• ahennequ / pytorch-custom-mma
  ☆29Updated 2 years ago