windmaple / awesome-AutoML
Curating a list of AutoML-related research, tools, projects and other resources
☆882Updated 5 months ago
Alternatives and similar repositories for awesome-AutoML:
Users that are interested in awesome-AutoML are comparing it to the libraries listed below
- OpenML AutoML Benchmarking Framework☆426Updated this week
- Automatic architecture search and hyperparameter optimization for PyTorch☆2,435Updated 11 months ago
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆427Updated 7 months ago
- A curated list of automated machine learning papers, articles, tutorials, slides and projects☆4,067Updated 9 months ago
- Interpretability and explainability of data and machine learning models☆1,671Updated 3 weeks ago
- Source code/webpage/demos for the What-If Tool☆942Updated 6 months ago
- A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures,…☆852Updated 3 years ago
- Algorithms for explaining machine learning models☆2,473Updated this week
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆468Updated last year
- Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)☆2,271Updated 2 years ago
- a distributed Hyperband implementation on Steroids☆616Updated 2 years ago
- Algorithms for outlier, adversarial and drift detection☆2,322Updated this week
- OmniXAI: A Library for eXplainable AI☆906Updated 8 months ago
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆509Updated 5 months ago
- A standard framework for modelling Deep Learning Models for tabular data☆1,466Updated this week
- XAI - An eXplainability toolbox for machine learning☆1,158Updated 3 years ago
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆630Updated last month
- Naszilla is a Python library for neural architecture search (NAS)☆307Updated 2 years ago
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,441Updated 2 weeks ago
- python partial dependence plot toolbox☆851Updated 6 months ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆705Updated 4 years ago
- A collection of research materials on explainable AI/ML☆1,467Updated 4 months ago
- Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data☆486Updated 4 years ago
- (AAAI' 20) A Python Toolbox for Machine Learning Model Combination☆649Updated 2 years ago
- Curated list of open source tooling for data-centric AI on unstructured data.☆713Updated last year
- Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation☆3,128Updated last week
- MLBox is a powerful Automated Machine Learning python library.☆1,512Updated last year
- Resources for Data Centric AI☆1,107Updated last year
- EvalML is an AutoML library written in python.☆804Updated this week
- A Python library for dynamic classifier and ensemble selection☆484Updated 11 months ago