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 2 years ago
• nick6918 / MyDeepLearning
  A deep learning library to provide algs in pure Numpy or Tensorflow.
  ☆292Updated 7 years ago
• FrancescoSaverioZuppichini / Tensorflow-Dataset-Tutorial
  Notebook for my medium article about how to use Dataset API in TensorFlow
  ☆158Updated 6 years ago
• madalinabuzau / tensorflow-eager-tutorials
  Simple tutorials for building neural networks with TensorFlow Eager mode.
  ☆510Updated 5 years ago
• nowozin / mlss2018-madrid-gan
  MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)
  ☆179Updated 5 years ago
• nmhkahn / pytorch-exercise
  Practical Exercise Codes for PyTorch
  ☆271Updated 7 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
• PytLab / simpleflow
  A simple TensorFlow-like graph computation framework in Python for learning purpose
  ☆200Updated 7 years ago
• asap-report / lstm-visualisation
  ☆65Updated 2 years ago
• dragen1860 / awesome-AutoML
  A curated list of AutoML papers/tutorials/slides etc.
  ☆92Updated 6 years ago
• krocki / dnc
  Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy
  ☆415Updated 3 years ago
• vahidk / TensorflowFramework
  An extendable framework for training neural network models using TensorFlow.
  ☆112Updated 5 years ago
• JianGoForIt / YellowFin
  auto-tuning momentum SGD optimizer
  ☆424Updated 7 years ago
• zepingyu0512 / srnn
  sliced-rnn
  ☆470Updated 6 years ago
• MorvanZhou / npnet
  Build neural networks based only on Numpy
  ☆168Updated 2 years ago
• hpcgarage / accelerated_dl_pytorch
  Accelerated Deep Learning with PyTorch at Jupyter Day Atlanta II
  ☆127Updated 7 years ago
• YJango / TFRecord-Dataset-Estimator-API
  Examples about How to import data from tfrecord files using dataset API.
  ☆104Updated 6 years ago
• luochuwei / Custom-Optimizer-in-TensorFlow
  Custom Optimizer in TensorFlow(定义你自己的Tensorflow Optimizer)
  ☆66Updated 5 years ago
• callowbird / Harmonica
  Code repository for the paper "Hyperparameter Optimization: A Spectral Approach" by Elad Hazan, Adam Klivans, Yang Yuan.
  ☆173Updated 6 years ago
• secsilm / understaing-datasets-estimators-tfrecords
  Try to use tf.estimator and tf.data together to train a cnn model.
  ☆79Updated 6 years ago
• tensorlayer / chinese-book
  《深度学习：一起玩转TensorLayer》资源分享、讨论
  ☆138Updated 7 years ago
• dlsys-course / dlsys-course.github.io
  Deep learning system course
  ☆215Updated 6 years ago
• csxeba / evolute
  Evolutionary algorithm toolbox
  ☆182Updated 6 years ago
• xylcbd / EasyCNN
  easy convolution neural network
  ☆165Updated 3 years ago
• BIGKUANG / deeplearning.ai
  There are all deeplearning.ai assigniment of Andrew Ng in coursera
  ☆74Updated 6 years ago
• suriyadeepan / rnn-from-scratch
  Use tensorflow's tf.scan to build vanilla, GRU and LSTM RNNs
  ☆127Updated 8 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
• hannw / nlstm
  Nested LSTM Cell
  ☆251Updated 7 years ago
• selous123 / tensorflowExercise
  ☆11Updated 7 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