kingfengji / eForest
This is the official implementation for the paper 'AutoEncoder by Forest'
☆75Updated 6 years ago
Alternatives and similar repositories for eForest:
Users that are interested in eForest are comparing it to the libraries listed below
- eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding☆22Updated 4 years ago
- ☆74Updated 6 years ago
- This is the official clone for the implementation of the NIPS18 paper Multi-Layered Gradient Boosting Decision Trees (mGBDT) .☆102Updated 6 years ago
- Adaptive Neural Trees☆151Updated 5 years ago
- An implementation of the Deep Neural Decision Forests in PyTorch☆156Updated 5 years ago
- Tensorflow implementation of a Tree☆36Updated 5 years ago
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆82Updated 3 years ago
- Data and code related to the paper "Probabilistic matrix factorization for automated machine learning", NIPS, 2018.☆40Updated 3 years ago
- Deep Neural Decision Trees☆161Updated 2 years ago
- Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"☆67Updated 7 months ago
- Distance Metric Learning Algorithms for Python☆174Updated 3 years ago
- [Code] Deep Multi-task Representation Learning: A Tensor Factorisation Approach☆58Updated 7 years ago
- On the decision boundary of deep neural networks☆38Updated 6 years ago
- Static (Python) and streaming (C++) implementations of xStream (KDD 2018).☆29Updated 6 years ago
- Implementation of RLNs, as described in https://arxiv.org/abs/1805.06440☆35Updated 6 years ago
- A supporting website for the paper "NeuralWarp: Time-Series Similarity with Warping Networks"☆36Updated 4 years ago
- Pytorch implementation of our article "Clustering-driven Deep Embedding with Pairwise Constraints"☆27Updated 6 years ago
- gpbo☆25Updated 4 years ago
- Python implementation of Robust Continuous Clustering☆103Updated 5 years ago
- PyMTL (Python library for Multi-task learning) is a Python module implementing a Multi-task learning framework built on top of scikit-lea…☆44Updated 11 years ago
- Reliability diagrams, Platt's scaling, isotonic regression☆75Updated 10 years ago
- Semi supervised learning on graphs☆35Updated 7 years ago
- Implementation of Ladder Network in PyTorch.☆45Updated 7 years ago
- Implementation of Restricted Boltzmann Machine (RBM) and its variants in Tensorflow☆55Updated 7 years ago
- 6️⃣6️⃣6️⃣ Reproduce ICLR '18 under-reviewed paper "MULTI-TASK LEARNING ON MNIST IMAGE DATASETS"☆42Updated 6 years ago
- Experiments with beta-VAE to learn disentangled representations from the data☆65Updated 5 years ago
- ☆124Updated 3 years ago
- A Python implementation of Kernel Mean Matching data reweighting algorithm☆33Updated 9 years ago
- Minimum description length principle algorithm in Python, for optimal binning of continuous variables☆59Updated last year
- EigenPro2 iteration in Tensorflow (Keras)☆23Updated 5 years ago