koalalarry

koalalarry's Stars

• ohssr-cf/ohssr

  29345

• AntreasAntoniou/HowToTrainYourMAMLPytorch

  The original code for the paper "How to train your MAML" along with a replication of the original "Model Agnostic Meta Learning" (MAML) paper in Pytorch.

  Language:Python773137

• cbfinn/maml

  Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

  Language:Python2.6k604

• hoya012/deep_learning_object_detection

  A paper list of object detection using deep learning.

  Language:Python11.3k2.8k

• weiaicunzai/awesome-image-classification

  A curated list of deep learning image classification papers and codes

  2.8k598

• YuguangTong/improved_wgan_training

  Code for reproducing experiments in "Improved Training of Wasserstein GANs"

  Language:Python2013

• tjwei/GANotebooks

  wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch

  Language:Jupyter Notebook1.5k369

• IShengFang/SpectralNormalizationKeras

  Spectral Normalization for Keras Dense and Convolution Layers

  Language:Jupyter Notebook12234

• mafda/generative_adversarial_networks_101

  Keras implementations of Generative Adversarial Networks. GANs, DCGAN, CGAN, CCGAN, WGAN and LSGAN models with MNIST and CIFAR-10 datasets.

  Language:Jupyter Notebook20279

• bmolparia/pd_vs_et

  Language:Jupyter Notebook11

• ni79ls/har-keras-cnn

  Jupyter Notebook for Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

  Language:Python15872

• buriburisuri/timeseries_gan

  A tensorflow implementation of GAN ( exactly InfoGAN or Info GAN ) to one dimensional ( 1D ) time series data.

  Language:Python293100