hamaadshah / gan_tensorflowLinks
Automatic feature engineering using Generative Adversarial Networks using TensorFlow.
☆51Updated 2 years ago
Alternatives and similar repositories for gan_tensorflow
Users that are interested in gan_tensorflow are comparing it to the libraries listed below
Sorting:
- Parameter Importance Analysis Tool☆77Updated 4 years ago
- Preparing continuous features for neural networks with GaussRank☆45Updated 8 years ago
- ☆42Updated 7 years ago
- Experiments in Bayesian Machine Learning☆69Updated 6 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆82Updated 4 years ago
- Population Based Training of Neural Network implemented in Keras☆35Updated 2 years ago
- Reinforcement learning course at Data Science Retreat☆42Updated 6 years ago
- ☆209Updated 7 years ago
- Tensorflow for Time Series Applications☆68Updated 7 years ago
- ☆17Updated 12 years ago
- a feature engineering wrapper for sklearn☆52Updated 5 years ago
- Tensorflow implementation of Neural Arithmetic Logic Unit, Trask et al.☆29Updated 7 years ago
- This is a work in progress Pytorch implementation of the recently proposed ES-RNN by Slawek Smyl, winner of the M4 competition☆12Updated 6 years ago
- ☆69Updated 5 years ago
- Kernel Mixture Network implementation with some minor tweaks☆45Updated 8 years ago
- Streamlined machine learning experiment management.☆108Updated 5 years ago
- A stacked generalization framework. Built on top of scikit learn☆58Updated 3 years ago
- Automatic feature engineering using deep learning and Bayesian inference using TensorFlow.☆71Updated 2 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆68Updated last year
- tutorial for mcfly repository☆79Updated 2 years ago
- Playing with various deep learning tools and network architectures☆70Updated 8 years ago
- Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another c…☆107Updated 7 years ago
- Tutorial on deploying machine learning models to production☆59Updated 6 years ago
- A Keras-based library for analysis of time series data using deep learning algorithms.☆116Updated 8 years ago
- An example of using a discriminator to correct for a difference in the distributions between the training and test data.☆67Updated 9 years ago
- Tuning the Parameters of Heuristic Optimizers (Meta-Optimization / Hyper-Parameter Optimization)☆56Updated 7 years ago
- A public wiki for the deep learning reading group at UC Berkeley☆27Updated 9 years ago
- AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-dr…☆114Updated 6 years ago
- ☆13Updated 9 years ago
- This repository contains all the material for the MLTrain NIPS workshop☆10Updated 8 years ago