Alternatives and similar repositories for cuDNNv

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

• kwotsin / create_tfrecords
  A simpler way of preparing large-scale image dataset by generalizing functions from TensorFlow-slim
  ☆133Updated 5 years ago
• visipedia / tfrecords
  Functions for creating tfrecords for TensorFlow models.
  ☆110Updated 5 years ago
• Shmuma / gpu_mon
  Python script which monitors gpu access
  ☆107Updated 7 years ago
• fabioperez / pytorch-examples
  Tutorials, examples, and projects implemented with PyTorch
  ☆77Updated 7 years ago
• Kyubyong / label_smoothing
  Corrupted labels and label smoothing
  ☆129Updated 8 years ago
• indraforyou / keras_tfrecord
  Extending Keras to support tfrecord dataset
  ☆61Updated 8 years ago
• waleedka / cnn-visualization
  Visualize How Convolutional Neural Networks Work with Keras
  ☆85Updated 7 years ago
• facebookarchive / tutorials
  Caffe2 Tutorials
  ☆123Updated 6 years ago
• titu1994 / MobileNetworks
  Keras implementation of Mobile Networks
  ☆133Updated 7 years ago
• getcrest / All-Conv-Keras
  All Convolutional Network: (https://arxiv.org/abs/1412.6806#) implementation in Keras
  ☆118Updated 8 years ago
• rossumai / keras-multi-gpu
  Multi-GPU data-parallel training in Keras
  ☆76Updated 8 years ago
• bes-dev / mpl.pytorch
  Pytorch implementation of MaxPoolingLoss.
  ☆177Updated 7 years ago
• gzuidhof / nn-transfer
  Convert trained PyTorch models to Keras, and the other way around
  ☆223Updated 6 years ago
• johannesu / NASNet-keras
  Keras implementation of NASNet-A
  ☆88Updated 7 years ago
• anujshah1003 / Tensorboard-own-image-data-image-features-embedding-visualization
  Learn how to visualize your own image data or features on Tensorboard Embedding Visualizer
  ☆99Updated 4 years ago
• 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
• TensorVision / TensorVision
  A simple toolkit to easily apply image classification networks to your data.
  ☆118Updated 7 years ago
• mprat / pascal-voc-python
  Repository for reading Pascal VOC data in Python, rather than requiring MATLAB to read the XML files.
  ☆89Updated 5 years ago
• leelabcnbc / cnnvis-pytorch
  visualization of CNN in PyTorch
  ☆155Updated 2 years ago
• philipperemy / tensorflow-fifo-queue-example
  Example on how to use a Tensorflow Queue to feed data to your models.
  ☆38Updated 5 years ago
• tensorpack / benchmarks
  Use TensorFlow efficiently
  ☆96Updated 4 years ago
• titu1994 / BatchRenormalization
  Batch Renormalization algorithm implementation in Keras
  ☆98Updated 6 years ago
• killthekitten / kaggle-ds-bowl-2018-baseline
  Full train/inference/submission pipeline adapted to the competition from https://github.com/matterport/Mask_RCNN
  ☆104Updated 7 years ago
• ceykmc / pytorch_model_summary
  pytorch model summary, statistic parameters number, memory usage, FLOPs and so on
  ☆98Updated 5 years ago
• yuanyuanli85 / Keras-Multiple-Process-Prediction
  A Simply Example to show how to use Keras model in multiple processes to do the prediction
  ☆112Updated 7 years ago
• david-vazquez / keras_zoo
  Keras implementation of Classification, Detection and Segmentation Networks
  ☆71Updated 8 years ago
• dandxy89 / ImageModels
  ImageNet model implemented using the Keras Functional API
  ☆64Updated 8 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
• 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
• iPRoBe-lab / semi-adversarial-networks
  Implementation of the SAN model for imparting gender privacy to face images
  ☆63Updated 4 years ago