Machine learning, in numpy
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Updated
Oct 29, 2023 - Python
Machine learning, in numpy
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
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 computation on CPU and GPU.
A collection of research papers on decision, classification and regression trees with implementations.
[UNMAINTAINED] Automated machine learning for analytics & production
A curated list of data mining papers about fraud detection.
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Natural Gradient Boosting for Probabilistic Prediction
python实现GBDT的回归、二分类以及多分类,将算法流程详情进行展示解读并可视化,庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision Trees
A curated list of gradient boosting research papers with implementations.
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
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 features support for Python
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
LAMA - automatic model creation framework
Tuning hyperparams fast with Hyperband
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
An implementation of "Multi-Level Network Embedding with Boosted Low-Rank Matrix Approximation" (ASONAM 2019).
An experimental Python package that reimplements AutoGBT using LightGBM and Optuna.
⭐🚀 Gradient boosting on steroids
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