Alternatives and similar repositories for moshpit-sgd

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

• HazyResearch / mongoose
  A Learnable LSH Framework for Efficient NN Training
  ☆33Updated 4 years ago
• mryab / learning-at-home
  "Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts" (NeurIPS 2020), original PyTorch implemen…
  ☆56Updated 5 years ago
• microsoft / fnl_paper
  Factorized Neural Layers
  ☆30Updated 2 years ago
• juntang-zhuang / ACProp-Optimizer
  Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)
  ☆16Updated 4 years ago
• learning-at-home / lean_transformer
  Memory-efficient transformer. Work in progress.
  ☆19Updated 3 years ago
• aoiang / LaMOO
  ☆29Updated 3 years ago
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆48Updated last year
• Ying1123 / llm-caching-multiplexing
  ☆20Updated 2 years 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
• 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
• tanyuqian / redco
  NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
  ☆68Updated 11 months ago
• ebadrian / metadl
  NeurIPS 2021 - Few-shot learning competition
  ☆26Updated 4 years ago
• princeton-nlp / DataMUX
  [NeurIPS 2022] DataMUX: Data Multiplexing for Neural Networks
  ☆60Updated 2 years ago
• Distributed-AI / PipeTransformer
  PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021
  ☆56Updated 4 years ago
• jbr-ai-labs / bbo-challenge-jetbrains-research
  Code for Solving Black-Box Optimization Challenge via Learning Search Space Partition for Local Bayesian Optimization.
  ☆21Updated 4 years ago
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆31Updated 2 years ago
• srush / tangent
  Source-to-Source Debuggable Derivatives in Pure Python
  ☆15Updated last year
• RobertCsordas / linear_layer_as_attention
  The official repository for our paper "The Dual Form of Neural Networks Revisited: Connecting Test Time Predictions to Training Patterns …
  ☆16Updated 5 months ago
• titu1994 / simple_diffusion
  Simple notebooks to learn diffusion models on toy datasets
  ☆17Updated 2 years ago
• ahennequ / pytorch-custom-mma
  ☆29Updated 3 years ago
• ChristophReich1996 / HyperMixer
  PyTorch reimplementation of the paper "HyperMixer: An MLP-based Green AI Alternative to Transformers" [arXiv 2022].
  ☆17Updated 3 years ago
• peterljq / Tutorial-of-Data-Distillation-and-Condensation
  A comprehensive overview of Data Distillation and Condensation (DDC). DDC is a data-centric task where a representative (i.e., small but …
  ☆13Updated 2 years ago
• YuhanLiu11 / AutoFreeze
  ☆22Updated 5 years ago
• IDSIA / recurrent-fwp
  Official repository for the paper "Going Beyond Linear Transformers with Recurrent Fast Weight Programmers" (NeurIPS 2021)
  ☆50Updated 5 months ago
• gpauloski / kfac-pytorch
  Distributed K-FAC preconditioner for PyTorch
  ☆91Updated this week
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆58Updated 2 years ago
• aks2203 / easy-to-hard
  Official repository for the paper "Can You Learn an Algorithm? Generalizing from Easy to Hard Problems with Recurrent Networks"
  ☆59Updated 3 years ago
• yandex-research / btard
  Code for the paper "Secure Distributed Training at Scale" (ICML 2022)
  ☆16Updated 9 months ago
• jxbz / nero
  👑 Pytorch code for the Nero optimiser.
  ☆20Updated 3 years ago
• liamcli / darts_asha
  Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."
  ☆22Updated 6 years ago