Alternatives and similar repositories for netharn:

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

• AtheMathmo / AggMo
  Code for "Aggregated Momentum: Stability Through Passive Damping", Lucas et al. 2018
  ☆34Updated 6 years ago
• jalola / compare-tensorflow-pytorch
  Compare outputs between layers written in Tensorflow and layers written in Pytorch
  ☆72Updated 6 years ago
• artix41 / AVO-pytorch
  Implementation of Adversarial Variational Optimization in PyTorch
  ☆43Updated 6 years ago
• arrufat / dlib-pytorch-benchmark
  A very naive and simple benchmark between dlib and pytorch in terms of space and time
  ☆19Updated 4 years ago
• kyunghyuncho / backprop-kalman-filter
  ☆45Updated 5 years ago
• noahgolmant / pytorch-lr-dropout
  "Learning Rate Dropout" in PyTorch
  ☆34Updated 5 years ago
• arsenyinfo / ceevee
  Python library for various computer vision problems with a focus on easy usage.
  ☆18Updated 4 years ago
• baldassarreFe / zalando-pytorch
  Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando
  ☆31Updated 7 years ago
• TkTech / fasterzip
  A faster python zipfile.
  ☆31Updated 7 years ago
• ajbrock / BoilerPlate
  Odds and Ends and Things I've implemented.
  ☆78Updated 6 years ago
• AdeelMufti / DifferentiableNeuralComputer
  Optimized Differentiable Neural Computer In Chainer
  ☆23Updated 6 years ago
• kondiz / casme
  ☆72Updated 4 years ago
• vinbhaskara / adams
  Exploiting Uncertainty of Loss Landscape for Stochastic Optimization
  ☆15Updated 5 years ago
• arthurdouillard / awesome-deeplearning-papers
  A collection of Deep Learning papers I read, sorted by category.
  ☆9Updated 6 years ago
• titu1994 / keras-padam
  Keras implementation of Padam from "Closing the Generalization Gap of Adaptive Gradient Methods in Training Deep Neural Networks"
  ☆17Updated 6 years ago
• dalgu90 / splitnet-imagenet22k
  SplitNet implemented based on ResNet-50 trained on ImageNet-22K
  ☆16Updated 6 years ago
• arunpatala / cifarSOTA
  Reviewing recent advances in classification on CIFAR 10 and 100 datasets
  ☆37Updated 6 years ago
• dhuynh95 / fastai_bayesian
  Quick modules to turn regular Neural Networks to Bayesian Neural Networks with Dropout.
  ☆35Updated 3 years ago
• michaelklachko / pnn.pytorch
  PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html
  ☆57Updated 6 years ago
• paper-submissions / norm_matters
  ☆13Updated 7 years ago
• anandsaha / nips.cocob.pytorch
  PyTorch implementation of the NIPS'17 paper Training Deep Networks without Learning Rates Through Coin Betting.
  ☆37Updated 6 years ago
• kechan / FastaiPlayground
  All notebook for FastAI learning purposes.
  ☆15Updated 5 years ago
• apaszke / talks
  Slides from various talks I gave
  ☆18Updated 6 years ago
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 5 years ago
• learning-luke / pytorch-experiments-template
  A pytorch based classification experiments template
  ☆46Updated 3 years ago
• t-vi / pytorch
  Tensors and Dynamic neural networks in Python with strong GPU acceleration
  ☆17Updated last year
• kmkolasinski / receptivefield
  Gradient based receptive field estimation for Convolutional Neural Networks
  ☆14Updated 7 years ago
• ofirpress / PartialShuffle
  ☆14Updated 5 years ago
• awentzonline / pytorch-cns
  Generalized Compressed Network Search with PyTorch
  ☆26Updated 7 years ago
• titu1994 / keras-normalized-optimizers
  Wrapper for Normalized Gradient Descent in Keras
  ☆17Updated 6 years ago