Alternatives and similar repositories for NumpyDL

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

• parasdahal / deepnet
  Deep learning library in plain Numpy.
  ☆321Updated 3 years ago
• weixsong / min-char-rnn
  Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
  ☆137Updated 8 years ago
• tensorlayer / chinese-book
  《深度学习：一起玩转TensorLayer》资源分享、讨论
  ☆138Updated 7 years ago
• kingfengji / mGBDT
  This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .
  ☆104Updated 6 years ago
• DingKe / nn_playground
  Experimental keras implementation of novel neural network structures
  ☆432Updated 6 years ago
• Keras-Theano-TF-DeepLearner / DL-Discuss-Implement-Group
  深度学习讨论小组，欢迎积极分享资料，例程，回答以及提出相应问题
  ☆24Updated 8 years ago
• secsilm / understaing-datasets-estimators-tfrecords
  Try to use tf.estimator and tf.data together to train a cnn model.
  ☆79Updated 7 years ago
• Cospel / rbm-ae-tf
  Tensorflow 1.X implementation of Restricted Boltzman Machine(RBM) and Autoencoder with layerwise pretraining.
  ☆83Updated 4 years ago
• scofield7419 / basic_NNs_in_frameworks
  several basic neural networks[mlp, autoencoder, CNNs, recurrentNN, recursiveNN] implements under several NN frameworks[ tensorflow, pytor…
  ☆65Updated 2 years ago
• zakheav / automatic-differentiation-framework
  an automatic differentiation framework with dynamic graph/支持动态图的自动求导框架
  ☆100Updated 5 years ago
• MorvanZhou / npnet
  Build neural networks based only on Numpy
  ☆168Updated 2 years ago
• madalinabuzau / tensorflow-eager-tutorials
  Simple tutorials for building neural networks with TensorFlow Eager mode.
  ☆509Updated 5 years ago
• xingkongliang / Keras-Tutorials
  Keras-Tutorials
  ☆173Updated 8 years ago
• marsggbo / torchline
  Easy to use Pytorch
  ☆70Updated 3 months ago
• titu1994 / Snapshot-Ensembles
  Snapshot Ensemble in Keras
  ☆309Updated 7 years ago
• dlsys-course / dlsys-course.github.io
  Deep learning system course
  ☆215Updated 6 years ago
• BIGBALLON / Deep-learning-and-practices
  Version control for my deep learning course.
  ☆47Updated 7 years ago
• YJango / TFRecord-Dataset-Estimator-API
  Examples about How to import data from tfrecord files using dataset API.
  ☆104Updated 6 years ago
• bojone / keras_lookahead
  lookahead optimizer for keras
  ☆170Updated 5 years ago
• hwalsuklee / tensorflow-mnist-MLP-batch_normalization-weight_initializers
  MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implem…
  ☆55Updated 8 years ago
• krocki / dnc
  Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy
  ☆415Updated 3 years ago
• JianGoForIt / YellowFin
  auto-tuning momentum SGD optimizer
  ☆424Updated 7 years ago
• dragen1860 / awesome-AutoML
  A curated list of AutoML papers/tutorials/slides etc.
  ☆92Updated 6 years ago
• gy910210 / neural-network-from-scratch
  Implementing Multiple Layer Neural Network from Scratch
  ☆322Updated 9 years ago
• wuziheng / CNN-Numpy
  Inplement an CNN frame with Numpy, easy to learn, hard to use hhhh
  ☆304Updated 7 years ago
• upul / Aurora
  Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.
  ☆102Updated 7 years ago
• wepe / tgboost
  Tiny Gradient Boosting Tree
  ☆321Updated 6 years ago
• nick6918 / MyDeepLearning
  A deep learning library to provide algs in pure Numpy or Tensorflow.
  ☆292Updated 7 years ago
• leftthomas / CapsNet
  A PyTorch implementation of CapsNet based on NIPS 2017 paper "Dynamic Routing Between Capsules"
  ☆159Updated 6 years ago
• iwyoo / LSTM-autoencoder
  TensorFlow LSTM-autoencoder implementation
  ☆191Updated 7 years ago