closest-git / QuantumForestLinks
Fast Differentiable Forest lib with the advantages of both decision trees and neural networks
☆78Updated 3 years ago
Alternatives and similar repositories for QuantumForest
Users that are interested in QuantumForest are comparing it to the libraries listed below
Sorting:
- An AutoML pipeline selection system to quickly select a promising pipeline for a new dataset.☆83Updated 3 years ago
- ☆26Updated 5 years ago
- Improved TabNet for TensorFlow☆52Updated 2 years ago
- Using / reproducing DAC from the paper "Disentangled Attribution Curves for Interpreting Random Forests and Boosted Trees"☆28Updated 4 years ago
- AutoLearn, a domain independent regression-based feature learning algorithm.☆30Updated 6 years ago
- This repository accompanies the paper "Learning Concept Embeddings from Temporal Data" (Meyer, Van Der Merwe, and Coetsee, 2018)☆61Updated 7 years ago
- ⏸ Parallelized hyper-param optimization with validation set, not crossval☆90Updated 2 years ago
- Implementation of linear CorEx and temporal CorEx.☆37Updated 3 years ago
- eForest: Reversible mapping between high-dimensional data and path rule identifiers using trees embedding☆23Updated 4 years ago
- Public solution for AutoSeries competition☆72Updated 5 years ago
- Official implementation of Temporal-Guided Networks☆48Updated 5 years ago
- BOAH: Bayesian Optimization & Analysis of Hyperparameters☆66Updated 5 years ago
- Library for learning and inference with Sum-product Networks utilizing TensorFlow 2.x and Keras☆48Updated 4 years ago
- This is the official implementation for the paper 'AutoEncoder by Forest'☆75Updated 7 years ago
- The source code to the book Weakly Supervised Learning (O'Reilly, 2020) by Russell Jurney☆36Updated 4 years ago
- Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)☆70Updated 2 years ago
- Deep Neural Decision Trees☆162Updated 3 years ago
- Feature Interaction Interpretability via Interaction Detection☆34Updated 2 years ago
- Repository for code release of paper "Robust Variational Autoencoders for Outlier Detection and Repair of Mixed-Type Data" (AISTATS 2020)☆50Updated 5 years ago
- A scikit-learn compatible implementation of hyperband☆76Updated 5 years ago
- A memory efficient GBDT on adaptive distributions. Much faster than LightGBM with higher accuracy. Implicit merge operation.☆58Updated 5 years ago
- Preparing continuous features for neural networks with GaussRank☆45Updated 7 years ago
- ☆71Updated 4 years ago
- A Performance Benchmark of Different AutoML Frameworks☆35Updated 2 years ago
- Uncertainty in Conditional Average Treatment Effect Estimation☆33Updated 4 years ago
- Implementation of Robust PCA and Robust Deep Autoencoder over Time Series☆14Updated 5 years ago
- Tutorial on Automated Machine Learning at KDD 2020☆55Updated 4 years ago
- Probabilistic Multivariate Time Series Forecast using Deep Learning☆96Updated 5 years ago
- An example of using a discriminator to correct for a difference in the distributions between the training and test data.☆67Updated 8 years ago
- The stream-learn is an open-source Python library for difficult data stream analysis.☆63Updated last month