hamaadshah / gan_deeplearning4j
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
- Automatic feature engineering using Generative Adversarial Networks using TensorFlow.☆51Updated 2 years ago
- Transfer learning for flight-delay prediction via variational autoencoders in Keras☆33Updated 7 years ago
- Tensorflow implementation of Neural Arithmetic Logic Unit, Trask et al.☆29Updated 6 years ago
- Code for "Boosted Generative Models", AAAI 2018.☆20Updated 7 years ago
- Implementation of Counterfactual risk minimization☆26Updated 7 years ago
- Optimized Differentiable Neural Computer In Chainer☆23Updated 6 years ago
- GAN in Tensorflow to be run via Linux command line☆22Updated 6 years ago
- Introduction to structured prediction with Python and pystruct☆18Updated 6 years ago
- ☆13Updated 8 years ago
- Favorite AI papers☆16Updated 7 years ago
- ☆25Updated 8 years ago
- McKernel: A Library for Approximate Kernel Expansions in Log-linear Time.☆13Updated 2 years ago
- ☆15Updated 7 years ago
- Starter kit for getting started in the NIPS 2017 Criteo Ad Placement Challenge☆19Updated 7 years ago
- Gaussian Process Factorization Machines for Context-aware Recommendations☆42Updated 9 years ago
- GSOC 2017 - Apache Organization - # Implementation of Factorization Machines on Spark using parallel stochastic gradient descent (python…☆15Updated 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
- Probabilistic Itemset Mining☆19Updated 8 years ago
- Read datasets in a standard way☆20Updated 8 years ago
- Active learning for deep learning☆19Updated 6 years ago
- This is a paper list for recent studies on optimization algorithms.☆12Updated 6 years ago
- This contains my M.Tech project work on using Deep Leanring for learning graph representations. Data will be provided on request☆33Updated 7 years ago
- This is the source code of the paper "Inferring Complementary Products from Baskets and Browsing Sessions"☆11Updated 6 years ago
- Implementation of the Incremental Sequence Learning algorithms described in the Incremental Sequence Learning article☆41Updated 7 years ago
- Python implementation of Gibbs sampling for the naı̈ve Bayes model presented by Resnik and Hardisty☆14Updated 7 years ago
- Code needed to reproduce "Modeling documents with Generative Adversarial Networks"☆38Updated 7 years ago
- Deep learning spelling patterns with a recurrent neural network☆12Updated 7 years ago
- ☆50Updated 5 years ago
- Preparing continuous features for neural networks with GaussRank☆45Updated 7 years ago
- Generate images of neural network achitectures.☆18Updated 7 years ago