Fast and customizable framework for automatic ML model creation (AutoML)
Towards Generalized and Efficient Blackbox Optimization System/Package (KDD 2021 & JMLR 2024)
Final Year Btech Face recognition Attendance System Project with code and Documents. Video Implementation with explanation too. Base IEEE paper Implementation
State-of-the art Automated Machine Learning python library for Tabular Data
DeepArchitect: Automatically Designing and Training Deep Architectures
A general, modular, and programmable architecture search framework
Generalized and Efficient Blackbox Optimization System.
An automatic machine learning system
Comparison of automatic machine learning libraries
The Python library of the Khiops AutoML suite
[KDD '26] Conditional PED-ANOVA: Hyperparameter Importance in Hierarchical & Dynamic Search Spaces
Smart Process Analytics (SPA) is a software package for automatic machine learning. Given user-input data (and optional user preferences), SPA automatically cross-validates and tests ML and DL models. Model types are selected based on the properties of the data, minimizing the risk of data-specific variance.
SKSurrogate is a suite of tools that implements surrogate optimization for expensive functions based on scikit-learn. The main purpose of SKSurrogate is to facilitate hyperparameter optimization for machine learning models and optimized pipeline design (AutoML).
Automate Reddit campaigns in Chrome with a Python CLI, no API keys, for karma building, comment seeding, and posting
Automate machine learning EDA and model building using Pandas Profiling & PyCaret.
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