Alternatives and similar repositories for nn-transfer

Users that are interested in nn-transfer are comparing it to the libraries listed below

• vithursant / MagnetLoss-PyTorch
  PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.
  ☆219Updated last year
• fastai / imagenet-fast
  ☆306Updated 4 years ago
• titu1994 / Wide-Residual-Networks
  Wide Residual Networks in Keras
  ☆109Updated 7 years ago
• bes-dev / mpl.pytorch
  Pytorch implementation of MaxPoolingLoss.
  ☆176Updated 7 years ago
• anandsaha / pytorch.cyclic.learning.rate
  Using the CLR algorithm for training (https://arxiv.org/abs/1506.01186)
  ☆108Updated 7 years ago
• yu4u / mixup-generator
  An implementation of "mixup: Beyond Empirical Risk Minimization"
  ☆286Updated 7 years ago
• ahirner / pytorch-retraining
  Transfer Learning Shootout for PyTorch's model zoo (torchvision)
  ☆169Updated 5 years ago
• Lextal / SotA-CV
  A repository of state-of-the-art deep learning methods in computer vision
  ☆196Updated 7 years ago
• xgastaldi / shake-shake
  2.86% and 15.85% on CIFAR-10 and CIFAR-100
  ☆296Updated 7 years ago
• experiencor / deep-viz-keras
  Implementations of some popular Saliency Maps in Keras
  ☆166Updated 6 years ago
• MagNet-DL / magnet
  Deep Learning Projects that Build Themselves
  ☆360Updated 6 years ago
• kwotsin / create_tfrecords
  A simpler way of preparing large-scale image dataset by generalizing functions from TensorFlow-slim
  ☆133Updated 5 years ago
• noahfl / densenet-sdr
  repo that holds code for improving on dropout using Stochastic Delta Rule
  ☆142Updated 6 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
• szagoruyko / functional-zoo
  PyTorch and Tensorflow functional model definitions
  ☆587Updated 7 years ago
• avolkov1 / keras_experiments
  Experimental Keras libraries and examples.
  ☆85Updated 7 years ago
• ujjwal-9 / Knowledge-Distillation
  Blog https://medium.com/neuralmachine/knowledge-distillation-dc241d7c2322
  ☆60Updated 7 years ago
• ajbrock / FreezeOut
  Accelerate Neural Net Training by Progressively Freezing Layers
  ☆211Updated 7 years ago
• HazyResearch / tanda
  Learning to Compose Domain-Specific Transformations for Data Augmentation
  ☆172Updated 2 years ago
• johannesu / NASNet-keras
  Keras implementation of NASNet-A
  ☆88Updated 7 years ago
• bmsookim / fine-tuning.pytorch
  Pytorch implementation of fine tuning pretrained imagenet weights
  ☆143Updated 6 years ago
• leelabcnbc / cnnvis-pytorch
  visualization of CNN in PyTorch
  ☆155Updated 2 years ago
• david-vazquez / keras_zoo
  Keras implementation of Classification, Detection and Segmentation Networks
  ☆71Updated 8 years ago
• titu1994 / MobileNetworks
  Keras implementation of Mobile Networks
  ☆133Updated 7 years ago
• stratospark / keras-multiprocess-image-data-generator
  Accelerating Deep Learning with Multiprocess Image Augmentation in Keras
  ☆319Updated 7 years ago
• asmith26 / wide_resnets_keras
  Keras implementation + pretrained weights for "Wide Residual Networks"
  ☆138Updated last year
• titu1994 / Snapshot-Ensembles
  Snapshot Ensemble in Keras
  ☆311Updated 8 years ago
• pytorch / contrib
  Implementations of ideas from recent papers
  ☆392Updated 4 years ago
• Kyubyong / label_smoothing
  Corrupted labels and label smoothing
  ☆129Updated 8 years ago
• titu1994 / Keras-ResNeXt
  Implementation of ResNeXt models from the paper Aggregated Residual Transformations for Deep Neural Networks in Keras 2.0+.
  ☆224Updated 4 years ago