Alternatives and similar repositories for moshpit-sgd

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

• juntang-zhuang / ACProp-Optimizer
  Implementation for ACProp ( Momentum centering and asynchronous update for adaptive gradient methdos, NeurIPS 2021)
  ☆16Updated 4 years ago
• DS3Lab / AC-SGD
  Code associated with the paper **Fine-tuning Language Models over Slow Networks using Activation Compression with Guarantees**.
  ☆27Updated 2 years ago
• mryab / learning-at-home
  "Towards Crowdsourced Training of Large Neural Networks using Decentralized Mixture-of-Experts" (NeurIPS 2020), original PyTorch implemen…
  ☆56Updated 4 years ago
• HazyResearch / mongoose
  A Learnable LSH Framework for Efficient NN Training
  ☆32Updated 4 years ago
• automl / zero-shot-automl-with-pretrained-models
  Official repository for the paper "Zero-Shot AutoML with Pretrained Models"
  ☆47Updated last year
• microsoft / fnl_paper
  Factorized Neural Layers
  ☆30Updated 2 years ago
• facebookresearch / Data_Acquisition_for_ML_Benchmark
  DAM Data Acquisition for ML Benchmark, as part of the DataPerf benchmark suite, https://dataperf.org/
  ☆24Updated 2 years ago
• YuhanLiu11 / AutoFreeze
  ☆22Updated 4 years ago
• vvvm23 / mezo-jax
  JAX implementation of "Fine-Tuning Language Models with Just Forward Passes"
  ☆19Updated 2 years ago
• kshitij12345 / torchnnprofiler
  Context Manager to profile the forward and backward times of PyTorch's nn.Module
  ☆82Updated 2 years ago
• Distributed-AI / PipeTransformer
  PipeTransformer: Automated Elastic Pipelining for Distributed Training of Large-scale Models. ICML 2021
  ☆56Updated 4 years ago
• MadryLab / modeldiff
  ModelDiff: A Framework for Comparing Learning Algorithms
  ☆59Updated 2 years ago
• JeanKaddour / NoTrainNoGain
  Revisiting Efficient Training Algorithms For Transformer-based Language Models (NeurIPS 2023)
  ☆80Updated 2 years ago
• princeton-nlp / DataMUX
  [NeurIPS 2022] DataMUX: Data Multiplexing for Neural Networks
  ☆60Updated 2 years ago
• lchen001 / HAPI
  ☆17Updated 2 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
• MengjiaoZhang / DBCL
  Code for Double Blind CollaborativeLearning (DBCL)
  ☆14Updated 4 years ago
• aoiang / LaMOO
  ☆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
• jxbz / nero
  👑 Pytorch code for the Nero optimiser.
  ☆20Updated 3 years ago
• google-research / dp-imagenet
  ☆37Updated 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 10 months ago
• Ying1123 / llm-caching-multiplexing
  ☆20Updated 2 years ago
• davda54 / ada-hessian
  Easy-to-use AdaHessian optimizer (PyTorch)
  ☆79Updated 4 years ago
• ahennequ / pytorch-custom-mma
  ☆29Updated 3 years ago
• petuum / tuun
  Hyperparameter tuning via uncertainty modeling
  ☆48Updated last year
• JeanKaddour / LAWA
  Latest Weight Averaging (NeurIPS HITY 2022)
  ☆31Updated 2 years ago
• 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 4 months ago
• locuslab / intermediate_robustness
  ☆16Updated 3 years ago
• lucidrains / kronecker-attention-pytorch
  Implementation of Kronecker Attention in Pytorch
  ☆19Updated 5 years ago