Alternatives and similar repositories for mnist-challenge

Users that are interested in mnist-challenge are comparing it to the libraries listed below

• mleue / oxford-deep-nlp-2017-solutions
  my solutions for oxford's "deep nlp 2017" practical assignments
  ☆65Updated 8 years ago
• mitdbg / fastdeepnets
  ☆113Updated 2 years ago
• Atcold / pytorch-Video-Tutorials
  The versatility of Python enlightened by Torch to seize Deep Learning
  ☆129Updated 7 years ago
• uvadlc / uvadlc_practicals_2016
  Repository for practical assignments for UvA Deep Learning Course 2016
  ☆51Updated 7 years ago
• ramon-oliveira / aorun
  Deep Learning over PyTorch
  ☆61Updated 7 years ago
• soravux / pytorch_tutorial
  Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.
  ☆109Updated 5 years ago
• craffel / Lasagne-tutorial
  Adding an ipynb tutorial to Lasagne
  ☆53Updated 8 years ago
• alexandraj777 / machine-learning-samples
  Sample applications built using AWS' Amazon Machine Learning.
  ☆51Updated 8 years ago
• 0011001011 / vizuka
  Explore high-dimensional datasets and how your algo handles specific regions.
  ☆107Updated 7 years ago
• neuralix / google_evolution
  ☆53Updated 8 years ago
• shagunsodhani / pregel
  Tensorflow implementation of Graph Convolutional Network
  ☆77Updated 4 years ago
• rmst / chi
  A high-level framework for advanced deep learning with TensorFlow
  ☆54Updated 7 years ago
• relh / keras-residual-unit
  customize this building block to make all the residual connections you can dream of
  ☆80Updated 9 years ago
• tkchris93 / ForwardThinking
  Forward Thinking NIPS 2017
  ☆106Updated 7 years ago
• mila-iqia / summerschool2016
  Montréal Deep Learning Summer School 2016 material
  ☆100Updated 9 years ago
• amauboussin / arxiv-twitterbot
  Twitterbot that uses machine learning to curate interesting arXiv papers
  ☆43Updated 7 years ago
• kimhc6028 / forward-thinking-pytorch
  Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"
  ☆65Updated 8 years ago
• JasonBenn / nips-scraper
  Scrapes the abstracts to NIPS 2017 papers.
  ☆40Updated 7 years ago
• jfsantos / keras-tutorial
  Tutorial teaching the basics of Keras and some deep learning concepts
  ☆104Updated 8 years ago
• brannondorsey / keras_weight_animator
  Save keras weight matrices as short animated videos during training
  ☆105Updated 8 years ago
• mila-iqia / summerschool2017
  Material for the Montréal Deep Learning Summer School 2017
  ☆77Updated 8 years ago
• codekansas / gandlf
  Generative Adversarial Networks in Keras
  ☆46Updated 4 years ago
• Britefury / batchup
  Python library for extracting mini-batches of data from a data source for the purpose of training neural networks
  ☆87Updated 6 years ago
• jayanthkoushik / sgd-feedback
  ☆69Updated 6 years ago
• rdipietro / jupyter-notebooks
  ☆78Updated 7 years ago
• martius-lab / l4-optimizer
  Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"
  ☆124Updated 6 years ago
• arogozhnikov / infiniteboost
  InfiniteBoost: building infinite ensembles with gradient descent
  ☆183Updated 6 years ago
• thtrieu / essence
  AutoDiff DAG constructor, built on numpy and Cython. A Neural Turing Machine and DeepQ agent run on it. Clean code for educational purpos…
  ☆77Updated 5 years ago
• flomlo / ntm_keras
  An implementation of the Neural Turing Machine as a keras recurrent layer.
  ☆139Updated 7 years ago
• DeepLearningDTU / nvidia_deep_learning_summercamp_2016
  Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016
  ☆26Updated 8 years ago