windmaple / awesome-AutoMLLinks
Curating a list of AutoML-related research, tools, projects and other resources
☆898Updated last week
Alternatives and similar repositories for awesome-AutoML
Users that are interested in awesome-AutoML are comparing it to the libraries listed below
Sorting:
- OpenML AutoML Benchmarking Framework☆430Updated last week
- Automatic architecture search and hyperparameter optimization for PyTorch☆2,478Updated last year
- XAI - An eXplainability toolbox for machine learning☆1,197Updated 3 years ago
- Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries☆708Updated 4 years ago
- A curated list of automated machine learning papers, articles, tutorials, slides and projects☆4,110Updated last year
- MLBox is a powerful Automated Machine Learning python library.☆1,518Updated 2 years ago
- Source code/webpage/demos for the What-If Tool☆968Updated 2 weeks ago
- EvalML is an AutoML library written in python.☆823Updated last week
- Algorithms for explaining machine learning models☆2,548Updated 2 months ago
- a distributed Hyperband implementation on Steroids☆617Updated 2 years ago
- OmniXAI: A Library for eXplainable AI☆948Updated last year
- A Python library for dynamic classifier and ensemble selection☆491Updated last year
- python partial dependence plot toolbox☆861Updated 11 months ago
- A standard framework for modelling Deep Learning Models for tabular data☆1,563Updated this week
- The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning produc…☆612Updated 3 months ago
- A curated list of gradient boosting research papers with implementations.☆1,024Updated last year
- Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are look…☆438Updated last year
- A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.☆690Updated this week
- A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures,…☆852Updated 4 years ago
- Curated list of open source tooling for data-centric AI on unstructured data.☆724Updated last year
- ☆206Updated 5 years ago
- NVTabular is a feature engineering and preprocessing library for tabular data designed to quickly and easily manipulate terabyte scale da…☆1,097Updated 11 months ago
- A drop-in replacement for Scikit-Learn’s GridSearchCV / RandomizedSearchCV -- but with cutting edge hyperparameter tuning techniques.☆467Updated last year
- Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).☆1,490Updated last week
- Linear Prediction Model with Automated Feature Engineering and Selection Capabilities☆523Updated 5 months ago
- Natural Gradient Boosting for Probabilistic Prediction☆1,768Updated last week
- Use advanced feature engineering strategies and select best features from your data set with a single line of code. Created by Ram Seshad…☆662Updated 6 months ago
- Online machine learning resources☆576Updated 11 months ago
- PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf☆2,836Updated 10 months ago
- A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels f…☆508Updated 5 months ago