Alternatives and similar repositories for TensorFlowMNIST

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

• kuprel / pycaffe-recurrent
  IPython notebook for training multilayer LSTM and RNN networks with pycaffe
  ☆53Updated 9 years ago
• jwittenbach / aws-tensorflow-setup
  Install TensorFlow on AWS GPU-instance
  ☆28Updated 8 years ago
• felixlaumon / nolearn_utils
  Utilities for nolearn.lasagne
  ☆21Updated 8 years ago
• janivanecky / Numpy-RNNs
  ☆49Updated 8 years ago
• relh / keras-residual-unit
  customize this building block to make all the residual connections you can dream of
  ☆80Updated 8 years ago
• jmhessel / BasicSpearmint
  A simple tool for small scale experiments using bayesian optimization
  ☆35Updated 6 years ago
• craffel / Lasagne-tutorial
  Adding an ipynb tutorial to Lasagne
  ☆53Updated 7 years ago
• mbeissinger / intro_deep
  Introduction tutorials to deep learning with Theano and OpenDeep
  ☆51Updated 9 years ago
• ofirnachum / uncertainty_gbm
  Sklearn implementation of GBM to predict mu(X) and std(X) on heteroscedastic data
  ☆26Updated 9 years ago
• Smerity / right_whale_hunt
  Annotated faces for NOAA Right Whale Recognition Kaggle competition
  ☆35Updated 9 years ago
• msegala / Kaggle-National_Data_Science_Bowl
  ☆15Updated 9 years ago
• gramolin / flavours-of-physics
  Second-ranked solution to the Kaggle "Flavours of Physics" competition
  ☆25Updated 9 years ago
• apark263 / cfmz
  ☆57Updated 9 years ago
• kastnerkyle / SciPy2015
  Talk for SciPy2015 "Deep Learning: Tips From The Road"
  ☆44Updated 10 years ago
• cornelltech / snack
  Stochastic Neighbor and Crowd Kernel (SNaCK) embeddings: Quick and dirty visualization of large-scale datasets via concept embeddings
  ☆50Updated last year
• AgnezIO / agnez
  Analytics for Deep Learning projects.
  ☆49Updated 9 years ago
• shagunsodhani / tf-char-rnn
  Tensorflow implementation of char-rnn
  ☆28Updated 8 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 8 years ago
• dolaameng / deeplearning-exploration
  Explore different deep-learning frameworks
  ☆18Updated 7 years ago
• IndicoDataSolutions / Foxhound
  Scikit learn inspired library for gpu-accelerated machine learning
  ☆38Updated 2 years ago
• petered / plato
  A library built on top of Theano. TUTORIAL:
  ☆39Updated 6 years ago
• syhw / DL4H
  Deep learning for hackers: a hands-on approach to machine learning and deep learning.
  ☆67Updated 10 years ago
• diogo149 / treeano
  more composable than other neural network libraries
  ☆42Updated 8 years ago
• matpalm / rnn_lm
  various simple RNNs trained on synthetic grammars
  ☆30Updated 9 years ago
• 5vision / kaggle_allen
  ☆29Updated 9 years ago
• jnhwkim / ddx
  Deep Learning Dashboard
  ☆38Updated 8 years ago
• nouiz / nextml2015
  This repo contain the exercies of the Next.ML 2015 presentation
  ☆24Updated 10 years ago
• raviqqe / tensorflow-qnd
  Quick and Dirty TensorFlow command framework to train and evaluate models and make inference
  ☆56Updated 6 years ago
• ryotat / mlss15
  ☆58Updated 9 years ago
• deeplearningparis / dl-rnn
  Recurrent Deep Learning Tutorials and examples: RNN, GRU, LSTM
  ☆55Updated 10 years ago