35 results found Sort:
- Filter by Primary Language:
- Python (19)
- C++ (6)
- Jupyter Notebook (5)
- R (2)
- Julia (1)
- Java (1)
- Rust (1)
- +
A game theoretic approach to explain the output of any machine learning model.
Created
2016-11-22
2,771 commits to master branch, last one 22 days ago
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tas...
Created
2016-08-05
3,599 commits to master branch, last one a day ago
Machine learning, in numpy
Created
2019-04-06
348 commits to master branch, last one 2 years ago
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Created
2015-11-03
2,440 commits to master branch, last one 8 months ago
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computa...
Created
2017-07-18
48,751 commits to master branch, last one 20 hours ago
Fit interpretable models. Explain blackbox machine learning.
Created
2019-05-03
3,458 commits to develop branch, last one 12 hours ago
A collection of research papers on decision, classification and regression trees with implementations.
cart
xgboost
catboost
lightgbm
classifier
decision-tree
random-forest
tree-ensemble
regression-tree
machine-learning
ensemble-learning
gradient-boosting
decision-tree-model
classification-model
classification-trees
statistical-learning
decision-tree-learning
decision-tree-classifier
gradient-boosting-machine
machine-learning-research
Created
2019-05-11
281 commits to master branch, last one 7 months ago
Natural Gradient Boosting for Probabilistic Prediction
Created
2018-06-21
709 commits to master branch, last one 9 days ago
[UNMAINTAINED] Automated machine learning for analytics & production
keras
automl
python
xgboost
lightgbm
analytics
tensorflow
data-science
deeplearning
scikit-learn
deep-learning
machine-learning
production-ready
gradient-boosting
feature-engineering
artificial-intelligence
machine-learning-library
automated-machine-learning
machine-learning-pipelines
hyperparameter-optimization
Created
2016-08-07
1,149 commits to master branch, last one 6 years ago
A curated list of data mining papers about fraud detection.
churn
classifier
data-mining
data-science
deep-learning
fraud-checker
random-forest
classification
credit-scoring
fraud-explorer
fraud-detection
link-prediction
fraud-management
fraud-prevention
credit-card-fraud
gradient-boosting
logistic-regression
graph-classification
credit-card-validation
credit-card-fraud-detection
Created
2019-05-27
175 commits to master branch, last one 7 months ago
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
Created
2019-09-11
404 commits to master branch, last one 4 months ago
A curated list of gradient boosting research papers with implementations.
h2o
xgboost
adaboost
boosting
catboost
lightgbm
classifier
decision-tree
deep-learning
random-forest
machine-learning
gradient-boosting
xgboost-algorithm
classification-tree
classification-trees
gradient-boosted-trees
classification-algorithm
gradient-boosting-machine
gradient-boosting-classifier
gradient-boosting-decision-trees
Created
2019-05-11
206 commits to master branch, last one 7 months ago
LAMA - automatic model creation framework
This repository has been archived
(exclude archived)
Created
2020-02-13
497 commits to master branch, last one 2 years ago
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Created
2021-04-22
623 commits to main branch, last one 9 days ago
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
mfcc
keras
librosa
sklearn
deep-learning
mlp-classifier
neural-networks
machine-learning
emotion-detection
gradient-boosting
emotion-recognizer
feature-extraction
emotion-recognition
kneighborsclassifier
support-vector-machine
random-forest-classifier
recurrent-neural-networks
speech-emotion-recognition
Created
2019-04-27
80 commits to master branch, last one about a year ago
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
Created
2021-04-22
991 commits to main branch, last one 6 days ago
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical ...
Created
2019-03-06
404 commits to master branch, last one 7 days ago
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
Created
2021-04-27
288 commits to master branch, last one 2 months ago
A self-generalizing gradient boosting machine which doesn't need hyperparameter optimization
Created
2024-05-20
82 commits to main branch, last one 5 days ago
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Created
2023-03-24
463 commits to main branch, last one a day ago
Open source Machine Learning library written in Java
Created
2014-09-30
2,555 commits to master branch, last one 4 years ago
Boosted trees in Julia
Created
2019-01-08
998 commits to main branch, last one 7 months ago
Train Gradient Boosting models that are both high-performance *and* Fair!
Created
2022-03-28
2,605 commits to main-fairgbm branch, last one 5 months ago
TigerLily: Finding drug interactions in silico with the Graph.
Created
2022-02-28
104 commits to main branch, last one about a year ago
This repository has no description...
Created
2014-01-13
103 commits to master branch, last one 2 years ago
Adaptive and automatic gradient boosting computations.
Created
2019-09-03
249 commits to master branch, last one 2 years ago
Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
Created
2018-02-15
30 commits to master branch, last one 5 months ago
Competing Risks and Survival Analysis
Created
2023-05-15
182 commits to main branch, last one 2 months ago
A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.
Created
2017-10-17
211 commits to master branch, last one 7 months ago
The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.
Created
2022-07-18
21 commits to master branch, last one about a year ago