Alternatives and similar repositories for PyTorch-MPI-DDP-example:

Users that are interested in PyTorch-MPI-DDP-example are comparing it to the libraries listed below

• tyohei / chainerkfac
  A Chainer extension for K-FAC
  ☆20Updated 5 years ago
• adityaiitb / pyprof2
  PyProf2: PyTorch Profiling tool
  ☆82Updated 4 years ago
• loudinthecloud / dpwa
  Distributed Learning by Pair-Wise Averaging
  ☆52Updated 7 years ago
• gpauloski / kfac-pytorch
  Distributed K-FAC Preconditioner for PyTorch
  ☆85Updated last week
• PrincetonLIPS / reversible-inductive-construction
  Discrete Object Generation with Reversible Inductive Construction (NeurIPS 2019)
  ☆30Updated 4 years ago
• mitscha / strassennets
  Deep learning with a multiplication budget
  ☆47Updated 6 years ago
• HazyResearch / structured-nets
  Structured matrices for compressing neural networks
  ☆66Updated last year
• harvardnlp / genbmm
  CUDA kernels for generalized matrix-multiplication in PyTorch
  ☆79Updated 3 years ago
• gd-zhang / Weight-Decay
  Regularization, Neural Network Training Dynamics
  ☆14Updated 5 years ago
• fKunstner / limitations-empirical-fisher
  Limitations of the Empirical Fisher Approximation
  ☆47Updated last month
• ptillet / torch-blocksparse
  Block-sparse primitives for PyTorch
  ☆154Updated 4 years ago
• f-dangel / hbp
  Hessian backpropagation (HBP): PyTorch extension of backpropagation for block-diagonal curvature matrix approximations
  ☆20Updated 2 years ago
• PrincetonLIPS / randomized_telescopes
  Code for "Efficient optimization of loops and limits with randomized telescoping sums"
  ☆27Updated 5 years ago
• Roger-luo / pytorch-complex
  complex tensor plugin for pytorch (deprecated)
  ☆47Updated 6 years ago
• ermongroup / higher_order_invariance
  Code for "Accelerating Natural Gradient with Higher-Order Invariance"
  ☆30Updated 5 years ago
• stevenygd / SWALP
  Code for paper "SWALP: Stochastic Weight Averaging forLow-Precision Training".
  ☆62Updated 5 years ago
• liamcli / darts_asha
  Code release to reproduce ASHA experiments from "Random Search and Reproducibility for NAS."
  ☆22Updated 5 years ago
• conormdurkan / autoregressive-energy-machines
  Autoregressive Energy Machines
  ☆77Updated 2 years ago
• jiaweizzhao / signSGD-with-Majority-Vote
  ☆74Updated 5 years ago
• yaroslavvb / kfac_pytorch
  ☆133Updated 7 years ago
• HazyResearch / butterfly
  Butterfly matrix multiplication in PyTorch
  ☆169Updated last year
• jxbz / madam
  👩 Pytorch and Jax code for the Madam optimiser.
  ☆51Updated 4 years ago
• hwang595 / ps_pytorch
  implement distributed machine learning with Pytorch + OpenMPI
  ☆51Updated 6 years ago
• slowbull / DDG
  A PyTorch implementation of the paper "Decoupled Parallel Backpropagation with Convergence Guarantee"
  ☆29Updated 6 years ago
• wouterkool / estimating-gradients-without-replacement
  Estimating Gradients for Discrete Random Variables by Sampling without Replacement
  ☆40Updated 5 years ago
• li-js / gpu_memory_profiling
  Profile the GPU memory usage of every line in a Pytorch code
  ☆82Updated 6 years ago
• AlexanderMath / fasth
  Code for the article "What if Neural Networks had SVDs?", to be presented as a spotlight paper at NeurIPS 2020.
  ☆75Updated 9 months ago
• PrincetonLIPS / RandomizedAutomaticDifferentiation
  Experiment code for "Randomized Automatic Differentiation"
  ☆67Updated 4 years ago
• Linux-cpp-lisp / opt_einsum_fx
  Einsum optimization using opt_einsum and PyTorch FX graph rewriting
  ☆21Updated 3 years ago
• afriesen / ftprop
  Feasible target propagation code for the paper "Deep Learning as a Mixed Convex-Combinatorial Optimization Problem" by Friesen & Domingos…
  ☆28Updated 7 years ago