benoitdescamps / Neural-Tree
Tensorflow implementation of a Tree
☆36Updated 5 years ago
Related projects ⓘ
Alternatives and complementary repositories for Neural-Tree
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆57Updated 7 years ago
- Deep Neural Decision Trees☆159Updated 2 years ago
- An example of using a discriminator to correct for a difference in the distributions between the training and test data.☆66Updated 7 years ago
- Online multiclass boosting algorithm that uses VFDT as weak learners☆16Updated 6 years ago
- Preparing continuous features for neural networks with GaussRank☆45Updated 6 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆82Updated 3 years ago
- Beyond Outlier Detection: LookOut for Pictorial Explanation☆25Updated 5 years ago
- This is the official implementation for the paper 'AutoEncoder by Forest'☆74Updated 6 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆67Updated 5 months ago
- This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .☆102Updated 6 years ago
- Deep Embedding Clustering in Keras☆130Updated 7 years ago
- Code for the paper "Generating Multi-Categorical Samples with Generative Adversarial Networks"☆49Updated last year
- Automatic feature engineering using Generative Adversarial Networks using TensorFlow.☆51Updated last year
- ☆208Updated 6 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 8 years ago
- Python codes for weakly-supervised learning☆122Updated 4 years ago
- Deep Learning with Positive and Unlabeled samples☆54Updated 7 years ago
- Context-sensitive ranking and choice in Python with PyTorch☆66Updated last year
- Factorization Machine for regression and classification☆98Updated 7 years ago
- On the decision boundary of deep neural networks☆38Updated 6 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 4 years ago
- An implementation of the Deep Neural Decision Forests in PyTorch☆155Updated 5 years ago
- Modeling the asynchronous event sequence via Recurrent Point Process☆61Updated 6 years ago
- State space modeling with recurrent neural networks☆42Updated 6 years ago
- A loss function for categories with a hierarchical structure.☆26Updated 6 years ago
- ☆34Updated 4 years ago
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆40Updated 2 years ago
- Gradient Boosting Enhanced with Step-Wise Feature Augmentation☆16Updated 3 years ago
- Simple Tensorflow implementation of "On the Convergence of Adam and Beyond" (ICLR 2018)☆104Updated 5 years ago