hamaadshah / gan_deeplearning4jLinks
Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.
☆21Updated 2 years ago
Alternatives and similar repositories for gan_deeplearning4j
Users that are interested in gan_deeplearning4j are comparing it to the libraries listed below
Sorting:
- Automatic feature engineering using Generative Adversarial Networks using TensorFlow.☆51Updated 2 years ago
- Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge☆18Updated 7 years ago
- Implementation of Counterfactual risk minimization☆26Updated 8 years ago
- GAN in Tensorflow to be run via Linux command line☆22Updated 7 years ago
- Tensorflow implementation of Neural Arithmetic Logic Unit, Trask et al.☆28Updated 6 years ago
- Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article☆40Updated 7 years ago
- Python package for graph statistics☆9Updated 4 years ago
- ☆8Updated 8 years ago
- ☆25Updated 9 years ago
- My Master Thesis on Distributed Deep Learning (parallelizing gradient descent) and other concepts I did during my research.☆26Updated 7 years ago
- Tensorflow port implementation of Single Headed Attention RNN☆16Updated 5 years ago
- A super simple way to do distributed hyperparameter tuning with Keras and Mongo☆30Updated 8 years ago
- Optimized Differentiable Neural Computer In Chainer☆23Updated 6 years ago
- Gaussian Process Factorization Machines for Context-aware Recommendations☆42Updated 10 years ago
- Introduction to structured prediction with Python and pystruct☆18Updated 6 years ago
- Python implementation of Gibbs sampling for the naı̈ve Bayes model presented by Resnik and Hardisty☆14Updated 7 years ago
- Code for "Boosted Generative Models", AAAI 2018.☆20Updated 7 years ago
- Code for "Best arm identification in multi-armed bandits with delayed feedback", AISTATS 2018.☆19Updated 7 years ago
- McKernel: A Library for Approximate Kernel Expansions in Log-linear Time.☆13Updated 2 years ago
- Files submitted to kdd2018 for EFDT paper☆22Updated 6 years ago
- Create images and texts with the First Order Generative Adversarial Networks arxiv.org/abs/1802.04591☆35Updated 7 years ago
- This is a paper list for recent studies on optimization algorithms.☆12Updated 7 years ago
- Building word embedding for large graphs by a set of random walks. Model learning is backed by Keras, which now supports TensorFlow or Th…☆17Updated 9 years ago
- Implementations of autoencoder, generative adversarial networks, variational autoencoder and adversarial variational autoencoder☆30Updated 8 years ago
- An implementation of LSTM with Recurrent Batch Normalization.☆19Updated 8 years ago
- The winning solution to the Ad Placement Challenge (NIPS'17 Causal Inference and Machine Learning Workshop)☆38Updated 7 years ago
- GSOC 2017 - Apache Organization - # Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python…☆14Updated 8 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 8 years ago
- CIKM Cup 2016 (1st Place) - Track 1 - Cross Device Entity Linking☆18Updated 7 years ago
- TF-Tile: an efficient sparse representation for real-valued data☆14Updated 2 years ago