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.
  ☆322Updated 3 years ago
• PytLab / simpleflow
  A simple TensorFlow-like graph computation framework in Python for learning purpose
  ☆200Updated 7 years ago
• FrancescoSaverioZuppichini / Tensorflow-Dataset-Tutorial
  Notebook for my medium article about how to use Dataset API in TensorFlow
  ☆156Updated 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
• luochuwei / Custom-Optimizer-in-TensorFlow
  Custom Optimizer in TensorFlow(定义你自己的Tensorflow Optimizer)
  ☆66Updated 6 years ago
• dragen1860 / awesome-AutoML
  A curated list of AutoML papers/tutorials/slides etc.
  ☆92Updated 6 years ago
• MorvanZhou / npnet
  Build neural networks based only on Numpy
  ☆169Updated 2 years ago
• bojone / keras_lookahead
  lookahead optimizer for keras
  ☆171Updated 5 years ago
• tensorlayer / chinese-book
  《深度学习：一起玩转TensorLayer》资源分享、讨论
  ☆138Updated 7 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
• titu1994 / Keras-IndRNN
  Implementation of IndRNN in Keras
  ☆67Updated 5 years ago
• xingkongliang / Keras-Tutorials
  Keras-Tutorials
  ☆172Updated 8 years ago
• krocki / dnc
  Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy
  ☆414Updated 3 years ago
• weixsong / min-char-rnn
  Minimal character-level language model with a Vanilla Recurrent Neural Network, in Python/numpy
  ☆137Updated 9 years ago
• asap-report / lstm-visualisation
  ☆64Updated 2 years ago
• vahidk / TensorflowFramework
  An extendable framework for training neural network models using TensorFlow.
  ☆112Updated 5 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
• madalinabuzau / tensorflow-eager-tutorials
  Simple tutorials for building neural networks with TensorFlow Eager mode.
  ☆510Updated 5 years ago
• nw2190 / TensorFlow_Examples
  Collection of TensorFlow Examples
  ☆37Updated 7 years ago
• hpcgarage / accelerated_dl_pytorch
  Accelerated Deep Learning with PyTorch at Jupyter Day Atlanta II
  ☆126Updated 7 years ago
• gy910210 / neural-network-from-scratch
  Implementing Multiple Layer Neural Network from Scratch
  ☆324Updated 9 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
• ajtulloch / svmpy
  Basic soft-margin kernel SVM implementation in Python
  ☆256Updated 9 years ago
• nowozin / mlss2018-madrid-gan
  MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)
  ☆179Updated 5 years ago
• zepingyu0512 / srnn
  sliced-rnn
  ☆469Updated 6 years ago
• aqibsaeed / Genetic-CNN
  CNN architecture exploration using Genetic Algorithm
  ☆222Updated 3 years ago
• wiseodd / hipsternet
  All the hipster things in Neural Net in a single repo
  ☆287Updated 7 years ago
• minghao-wu / DeepLearningFromScratch
  Reproduce selected deep learning models from scratch in PyTorch
  ☆61Updated 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
• Conchylicultor / Deep-Learning-Tricks
  Enumerate diverse machine learning training tricks.
  ☆421Updated 8 years ago