Alternatives and similar repositories for extremely-simple-one-shot-learning

Users that are interested in extremely-simple-one-shot-learning are comparing it to the libraries listed below

• dblN / stochastic_depth_keras
  Keras implementation for "Deep Networks with Stochastic Depth" http://arxiv.org/abs/1603.09382
  ☆139Updated 5 years ago
• snf / keras-fractalnet
  FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals
  ☆156Updated 7 years ago
• chrischoy / fully-differentiable-deep-ndf-tf
  Fully differentiable deep-neural decision forest in tensorflow
  ☆229Updated 7 years ago
• GokuMohandas / fast-weights
  🏃 Implementation of Using Fast Weights to Attend to the Recent Past.
  ☆269Updated 6 years ago
• Enny1991 / PLSTM
  ☆137Updated 7 years ago
• mateuszmalinowski / visual_turing_test-tutorial
  Tutorial for Visual Turing Test (visual question answering, image question answering).
  ☆117Updated 8 years ago
• phreeza / keras-GAN
  Generative Adversarial Networks with Keras
  ☆156Updated 4 years ago
• flomlo / ntm_keras
  An implementation of the Neural Turing Machine as a keras recurrent layer.
  ☆139Updated 7 years ago
• tkchris93 / ForwardThinking
  Forward Thinking NIPS 2017
  ☆106Updated 7 years ago
• bigaidream-projects / drmad
  DrMAD
  ☆107Updated 7 years ago
• EderSantana / gumbel
  Gumbel-Softmax Variational Autoencoder with Keras
  ☆132Updated 7 years ago
• martius-lab / l4-optimizer
  Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"
  ☆124Updated 6 years ago
• relh / keras-residual-unit
  customize this building block to make all the residual connections you can dream of
  ☆80Updated 9 years ago
• sthomp / tensorflow_transfer_cifar10
  tensorflow_transfer_cifar10
  ☆78Updated 8 years ago
• CuriousAI / tagger
  Deep Unsupervised Perceptual Grouping
  ☆131Updated 4 years ago
• hindupuravinash / nips2016
  A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016
  ☆223Updated 8 years ago
• shekkizh / neuralnetworks.thought-experiments
  Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow
  ☆202Updated 5 years ago
• alexbw / bayarea-dl-summerschool
  Torch notebooks and slides for the Bay Area Deep Learning Summer School
  ☆97Updated 8 years ago
• mila-iqia / summerschool2016
  Montréal Deep Learning Summer School 2016 material
  ☆100Updated 9 years ago
• rmst / chi
  A high-level framework for advanced deep learning with TensorFlow
  ☆54Updated 7 years ago
• coreylynch / vgg-19-feature-extractor
  Multi-threaded VGG 19 feature extractor in Torch
  ☆121Updated 9 years ago
• hardmaru / supercell
  supercell
  ☆192Updated 7 years ago
• rinuboney / ladder
  Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.
  ☆242Updated 8 years ago
• jayanthkoushik / sgd-feedback
  ☆69Updated 6 years ago
• craffel / Lasagne-tutorial
  Adding an ipynb tutorial to Lasagne
  ☆53Updated 8 years ago
• hadim / keras-toolbox
  Your every day Keras toolbox.
  ☆76Updated 6 years ago
• keunwoochoi / residual_block_keras
  Residual network block in Keras
  ☆72Updated 8 years ago
• fomorians / lstm-odyssey
  Implementations of "LSTM: A Search Space Odyssey" variants and their training results on the PTB dataset.
  ☆95Updated 8 years ago
• fferroni / PhasedLSTM-Keras
  Keras implementation of Phased LSTM [https://arxiv.org/abs/1610.09513]
  ☆144Updated 5 years ago
• uvadlc / uvadlc_practicals_2016
  Repository for practical assignments for UvA Deep Learning Course 2016
  ☆51Updated 7 years ago