Alternatives and similar repositories for examples

Users that are interested in examples are comparing it to the libraries listed below

• pytorch / extension-ffi
  Examples of C extensions for PyTorch
  ☆256Updated 2 years ago
• eladhoffer / bigBatch
  Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…
  ☆149Updated 8 years ago
• KarenUllrich / Tutorial-SoftWeightSharingForNNCompression
  A tutorial on 'Soft weight-sharing for Neural Network compression' published at ICLR2017
  ☆147Updated 8 years ago
• szagoruyko / pyinn
  CuPy fused PyTorch neural networks ops
  ☆273Updated 7 years ago
• jhkim89 / PyramidNet
  Torch implementation of the paper "Deep Pyramidal Residual Networks" (https://arxiv.org/abs/1610.02915).
  ☆130Updated 8 years ago
• lnsmith54 / super-convergence
  Files to create the figures in the paper "Super-Convergence: Very Fast Training of Residual Networks Using Large Learning Rates"
  ☆191Updated 7 years ago
• yaroslavvb / memory_util
  TensorFlow util for building memory usage timeline from LOG_MEMORY messages
  ☆65Updated 7 years ago
• xgastaldi / shake-shake
  2.86% and 15.85% on CIFAR-10 and CIFAR-100
  ☆297Updated 7 years ago
• rahulkidambi / AccSGD
  Implements pytorch code for the Accelerated SGD algorithm.
  ☆215Updated 7 years ago
• JianGoForIt / YellowFin_Pytorch
  auto-tuning momentum SGD optimizer
  ☆288Updated 6 years ago
• mfigurnov / sact
  Spatially Adaptive Computation Time for Residual Networks
  ☆248Updated 2 years ago
• alexsax / pytorch-visdom
  Support powerful visual logging in PyTorch.
  ☆103Updated 8 years ago
• noahfl / densenet-sdr
  repo that holds code for improving on dropout using Stochastic Delta Rule
  ☆141Updated 6 years ago
• ajbrock / FreezeOut
  Accelerate Neural Net Training by Progressively Freezing Layers
  ☆211Updated 7 years ago
• apaszke / torch-opCounter
  ☆28Updated 7 years ago
• loudinthecloud / dpwa
  Distributed Learning by Pair-Wise Averaging
  ☆52Updated 8 years ago
• szagoruyko / binary-wide-resnet
  PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)
  ☆126Updated 7 years ago
• oval-group / mlogger
  a lightweight and simple logger for Machine Learning
  ☆127Updated 5 years ago
• jotaf98 / curveball
  Second-order optimiser for deep networks
  ☆76Updated 7 years ago
• leelabcnbc / cnnvis-pytorch
  visualization of CNN in PyTorch
  ☆155Updated 2 years ago
• tobiascz / MNIST_Pytorch_python_and_capi
  This is an example of how to train a MNIST network in Python and run it in c++ with pytorch 1.0
  ☆96Updated 7 years ago
• sniklaus / pytorch-extension
  an example of a CUDA extension for PyTorch using CuPy which computes the Hadamard product of two tensors
  ☆119Updated 5 months ago
• amdegroot / pytorch-containers
  Torch Containers simplified in PyTorch
  ☆89Updated 8 years ago
• alykhantejani / nninit
  Weight initialization schemes for PyTorch nn.Modules
  ☆70Updated 8 years ago
• bes-dev / mpl.pytorch
  Pytorch implementation of MaxPoolingLoss.
  ☆177Updated 7 years ago
• lancopku / meProp
  meProp: Sparsified Back Propagation for Accelerated Deep Learning (ICML 2017)
  ☆110Updated 3 years ago
• TimSalimans / weight_norm
  Lasagne code for weight normalization
  ☆88Updated 9 years ago
• MatthieuCourbariaux / deep-learning-multipliers
  Training deep neural networks with low precision multiplications
  ☆64Updated 10 years ago
• dannysdeng / selu
  A pytorch implementation of "Self-Normalizing Neural Networks" by Klambauer et al. (still beta)
  ☆60Updated 8 years ago
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 6 years ago