tpot
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
lightgbm
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 tasks.
shap
A game theoretic approach to explain the output of any machine learning model.
lleaves
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
https://github.com/epistasislab/tpot2
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
yggdrasil-decision-forests
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
emotion-recognition-using-speech
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
arboreto
A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.
https://github.com/thomaswong2022/thor-public
AutoML tools for solving Time-Varying High-Dimensional Ordinal Regression Problems
https://github.com/arogozhnikov/infiniteboost
InfiniteBoost: building infinite ensembles with gradient descent
https://github.com/ahmedshahriar/housing-price-prediction
Data science project on Housing Prices Dataset regression analysis
breast_cancer_diagnosis_ml
This project demonstrates the use of machine learning models to predict breast cancer diagnoses. The repository covers the entire workflow from data preprocessing and feature engineering to model training and evaluation, providing insights into diagnosis prediction with various ML models.
speech-recognition-system
The objective of this DLM (Deep Learning Model) is to recognize the emotions from speech.
mlrl-boomer
A scikit-learn implementation of BOOMER - An Algorithm for Learning Gradient Boosted Multi-Output Rules
https://github.com/adibender/machine-learning-for-survival-ecml2020
Code repository for "A General Machine Learning Framework for Survival Analysis" published at ECML 2020