Alternatives and similar repositories for cuDNNv

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

• visipedia / tfrecords
  Functions for creating tfrecords for TensorFlow models.
  ☆110Updated 5 years ago
• titu1994 / MobileNetworks
  Keras implementation of Mobile Networks
  ☆133Updated 7 years ago
• indraforyou / keras_tfrecord
  Extending Keras to support tfrecord dataset
  ☆61Updated 8 years ago
• fabioperez / pytorch-examples
  Tutorials, examples, and projects implemented with PyTorch
  ☆77Updated 7 years ago
• tensorpack / benchmarks
  Use TensorFlow efficiently
  ☆96Updated 4 years ago
• johannesu / NASNet-keras
  Keras implementation of NASNet-A
  ☆88Updated 7 years ago
• Kyubyong / label_smoothing
  Corrupted labels and label smoothing
  ☆129Updated 8 years ago
• facebookarchive / tutorials
  Caffe2 Tutorials
  ☆123Updated 7 years ago
• gzuidhof / nn-transfer
  Convert trained PyTorch models to Keras, and the other way around
  ☆223Updated 7 years ago
• Shmuma / gpu_mon
  Python script which monitors gpu access
  ☆107Updated 8 years ago
• GuillaumeErhard / ImageSetCleaner
  Semi-supervised tool for cleaning image dataset , using deep learning.
  ☆75Updated 7 years ago
• ahirner / pytorch-retraining
  Transfer Learning Shootout for PyTorch's model zoo (torchvision)
  ☆169Updated 5 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
• 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
• 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
• pgmmpk / tfrecord
  Python way to Read/Write TFRecords
  ☆65Updated 7 years ago
• kwotsin / create_tfrecords
  A simpler way of preparing large-scale image dataset by generalizing functions from TensorFlow-slim
  ☆133Updated 5 years ago
• Irtza / Keras_model_compression
  Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy…
  ☆61Updated 6 years ago
• 0bserver07 / One-Hundred-Layers-Tiramisu
  Keras Implementation of The One Hundred Layers Tiramisu: Fully Convolutional DenseNets for Semantic Segmentation by (Simon Jégou, Michal …
  ☆198Updated last year
• rossumai / keras-multi-gpu
  Multi-GPU data-parallel training in Keras
  ☆76Updated 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
• leelabcnbc / cnnvis-pytorch
  visualization of CNN in PyTorch
  ☆155Updated 2 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
• saisrivatsan / selective-search
  selective-search for object recognition
  ☆47Updated 10 years ago
• andersy005 / keras-yolo
  Keras implementation of YOLO (You Only Look Once) : Unified, Real-Time Object Detection
  ☆36Updated 8 years ago
• mnoukhov / tf-slim-mnist
  MNIST tutorial with Tensorflow Slim (tf-slim)
  ☆70Updated 7 years ago
• bes-dev / mpl.pytorch
  Pytorch implementation of MaxPoolingLoss.
  ☆177Updated 7 years ago
• mpsampat / DSB_2018_Parameter_Selection_For_Matterport_Mask_RCNN
  ☆28Updated 6 years ago
• ZFTurbo / Keras-inference-time-optimizer
  Optimize layers structure of Keras model to reduce computation time
  ☆157Updated 5 years ago
• waleedka / cnn-visualization
  Visualize How Convolutional Neural Networks Work with Keras
  ☆85Updated 7 years ago