Alternatives and similar repositories for micro-projects

Users that are interested in micro-projects are comparing it to the libraries listed below

• titu1994 / tf-eager-examples
  A set of simple examples ported from PyTorch for Tensorflow Eager Execution
  ☆73Updated 7 years ago
• kuleshov / tf-wgan
  Wasserstein DCGAN in Tensorflow/Keras
  ☆93Updated 8 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 6 years ago
• ahirner / pytorch-retraining
  Transfer Learning Shootout for PyTorch's model zoo (torchvision)
  ☆169Updated 5 years ago
• ajbrock / FreezeOut
  Accelerate Neural Net Training by Progressively Freezing Layers
  ☆212Updated 7 years ago
• taki0112 / AMSGrad-Tensorflow
  Simple Tensorflow implementation of "On the Convergence of Adam and Beyond" (ICLR 2018)
  ☆104Updated 6 years ago
• singlasahil14 / sortpool2d
  A new kind of pooling layer for faster and sharper convergence
  ☆76Updated 8 years ago
• tkchris93 / ForwardThinking
  Forward Thinking NIPS 2017
  ☆107Updated 7 years ago
• tolstikhin / adagan
  AdaGAN: greedy iterative procedure to train mixtures of GANs
  ☆78Updated 8 years ago
• jsikyoon / SequentialData-GAN
  Tensorflow Implementation of GAN modeling for sequential data
  ☆69Updated 8 years ago
• leonardblier / alrao
  Implementation of "Learning with Random Learning Rates" in PyTorch.
  ☆102Updated 6 years ago
• ischlag / tensorflow-input-pipelines
  TensorFlow input pipelines for multiple datasets for easy data fetching
  ☆54Updated 9 years ago
• CIFASIS / splitting_gan
  Code for Class-Splitting Generative Adversarial Networks
  ☆32Updated 8 years ago
• pumpikano / tf-magnet-loss
  Tensorflow implementation of Magnet Loss from "Metric Learning for Adaptive Density Discrimination"
  ☆95Updated 7 years ago
• MrGemy95 / visual-interaction-networks-pytorch
  This's an implementation of deepmind Visual Interaction Networks paper using pytorch
  ☆165Updated 7 years ago
• eladhoffer / bigBatch
  Code used to generate the results appearing in "Train longer, generalize better: closing the generalization gap in large batch training o…
  ☆149Updated 8 years ago
• titu1994 / BatchRenormalization
  Batch Renormalization algorithm implementation in Keras
  ☆97Updated 6 years ago
• jhui / deep_learning
  ☆85Updated 3 years ago
• hpcgarage / accelerated_dl_pytorch
  Accelerated Deep Learning with PyTorch at Jupyter Day Atlanta II
  ☆126Updated 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
• martius-lab / l4-optimizer
  Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"
  ☆124Updated 6 years ago
• clvrai / Generative-Latent-Optimization-Tensorflow
  Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research
  ☆95Updated 8 years ago
• shirgur / PixelRNN
  A Keras implementation of PixelRNN
  ☆25Updated 9 years ago
• shekkizh / neuralnetworks.thought-experiments
  Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow
  ☆201Updated 6 years ago
• ducha-aiki / LSUVinit
  Reference caffe implementation of LSUV initialization
  ☆114Updated 8 years ago
• jsuarez5341 / Recurrent-Highway-Hypernetworks-NIPS
  Cleaned original source code from my NIPS publication
  ☆158Updated 8 years ago
• chrischoy / fully-differentiable-deep-ndf-tf
  Fully differentiable deep-neural decision forest in tensorflow
  ☆229Updated 8 years ago
• jlindsey15 / RAM
  Recurrent Visual Attention Model
  ☆135Updated 6 years ago
• jhjacobsen / RFNN
  Structured Receptive Fields in Convolutional Neural Networks
  ☆47Updated 7 years ago
• kihosuh / nips_2017
  videos, slides, and others from NIPS 2017
  ☆180Updated 7 years ago