Summary list of deep learning resources [framework, data set, journal]

Time:2020-11-15

Most of the time, people use different deep learning frameworks and standard development toolkits. (SDKs), which are used to implement deep learning methods, are as follows:

frame

  • Tensorflow: https://www.tensorflow.org/
  • Caffe: http://caffe.berkeleyvision.org/
  • KERAS: https://keras.io/
  • Theano: http://deeplearning.net/softw…
  • Torch: http://torch.ch/
  • PyTorch: http://pytorch.org/
  • Lasagne: https://lasagne.readthedocs.i…
  • DL4J (DeepLearning4J): https://deeplearning4j.org/
  • Chainer: http://chainer.org/
  • DIGITS: https://developer.nvidia.com/…
  • CNTK (Microsoft): https://github.com/Microsoft/…
  • MatConvNet: http://www.vlfeat.org/matconv…
  • MINERVA: https://github.com/dmlc/minerva
  • MXNET: https://github.com/dmlc/mxnet
  • OpenDeep: http://www.opendeep.org/
  • PuRine: https://github.com/purine/pur…
  • PyLerarn2: http://deeplearning.net/softw…
  • TensorLayer: https://github.com/zsdonghao/…
  • LBANN: https://github.com/LLNL/lbann

SDKs

  • cuDNN: https://developer.nvidia.com/…
  • TensorRT: https://developer.nvidia.com/…
  • DeepStreamSDK: https://developer.nvidia.com/…
  • cuBLAS: https://developer.nvidia.com/…
  • cuSPARSE: http://docs.nvidia.com/cuda/c…
  • NCCL : https://devblogs.nvidia.com/p…

Benchmark dataset

The following is a list of benchmark datasets commonly used to evaluate deep learning methods in different application areas.

Image classification or detection or segmentation

  • MNIST: http://yann.lecun.com/exdb/mn…
  • CIFAR 10/100: https://www.cs.toronto.edu/~k…
  • SVHN/ SVHN2: http://ufldl.stanford.edu/hou…
  • CalTech 101/256: http://www.vision.caltech.edu…
  • STL-10: https://cs.stanford.edu/~acoa…
  • NORB: http://www.cs.nyu.edu/~ylclab…
  • SUN-dataset: http://groups.csail.mit.edu/v…
  • ImageNet: http://www.image-net.org/
  • National Data Science Bowl Competition: http://www.datasciencebowl.com/
  • COIL 20/100: http://www.cs.columbia.edu/CA…
  • MS COCO DATASET: http://mscoco.org/
  • MIT-67 scene dataset: http://web.mit.edu/torralba/w…
  • Caltech-UCSD Birds-200 dataset: http://www.vision.caltech.edu…

2011.html

  • Pascal VOC 2007 dataset: http://host.robots.ox.ac.uk/p…
  • H3D Human Attributes dataset:

https://www2.eecs.berkeley.ed…

  • Face recognition dataset: http://vis-www.cs.umass.edu/lfw/
  • For more data-set visit: https://www.kaggle.com/
  • http://homepages.inf.ed.ac.uk…
  • Recently Introduced Datasets in Sept. 2016:
  • Google Open Images (~9M images)—https://github.com/openimages…
  • Youtube-8M (8M videos: https://research.google.com/y…

Text classification

  • Reuters-21578 Text Categorization Collection:

http://kdd.ics.uci.edu/databa…

  • Sentiment analysis from Stanford: http://ai.stanford.edu/~amaas…
  • Movie sentiment analysis from Cornel:

http://www.cs.cornell.edu/peo…
Free eBooks: https://www.gutenberg.org/

  • Brown and stanford corpus on present americal english:

https://en.wikipedia.org/wiki…

  • Google 1Billion word corpus: https://github.com/ciprian-ch…

modeling-benchmark

image encoding

  • Flickr-8k: http://nlp.cs.illinois.edu/Ho…
  • Common Objects in Context (COCO):http://cocodataset.org/#overview;http://sidgan.me/technical/2016/01/09/Exploring-Datasets

MT

Pairs of sentences in English and French: https://www.isi.edu/naturalla…
download/hansard/

  • European Parliament Proceedings parallel Corpus 196-2011:

http://www.statmt.org/europarl/

  • The statistics for machine translation: http://www.statmt.org/

Q & A

  • Stanford Question Answering Dataset (SQuAD): https://rajpurkar.github.io/S…
  • Dataset from DeepMind: https://github.com/deepmind/r…
  • Amazon dataset:http://jmcauley.ucsd.edu/data…;http://trec.nist.gov/data/qamain…,;http://www.ark.cs.cmu.edu/QA-…;http://webscope.sandbox.yahoo.co…,;http://blog.stackoverflow.com…

Speech recognition

  • TIMIT : https://catalog.ldc.upenn.edu…
  • Voxforge: http://voxforge.org/
  • Open Speech and Language Resources: http://www.openslr.org/12/

Abstract

  • https://archive.ics.uci.edu/m…
  • http://www-nlpir.nist.gov/rel…
  • https://catalog.ldc.upenn.edu…

Emotional analysis

  • IMDB dataset: http://www.imdb.com/

Hyperspectral image analysis

  • http://www.ehu.eus/ccwintco/i…
  • https://engineering.purdue.ed…
  • http://www2.isprs.org/commiss…

Journals and conferences

Conferences
  • Neural Information Processing System (NIPS)
  • International Conference on Learning Representation (ICLR): What are you doing for

Deep Learning?

  • International Conference on Machine Learning (ICML)
  • Computer Vision and Pattern Recognition (CVPR): What are you doing with Deep

Learning?

  • International Conference on Computer Vision (ICCV)
  • European Conference on Computer Vision (ECCV)
  • British Machine Vision Conference (BMVC)
Journal
  • Journal of Machine Learning Research (JMLR)
  • IEEE Transaction of Neural Network and Learning System (
  • IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
  • Computer Vision and Image Understanding (CVIU)
  • Pattern Recognition Letter
  • Neural Computing and Application
  • International Journal of Computer Vision
  • IEEE Transactions on Image Processing
  • IEEE Computational Intelligence Magazine
  • Proceedings of IEEE
  • IEEE Signal Processing Magazine
  • Neural Processing Letter
  • Pattern Recognition
  • Neural Networks
  • ISPPRS Journal of Photogrammetry and Remote Sensing