automl

Fast and customizable framework for automatic ML model creation (AutoML)

ModelFox makes it easy to train, deploy, and monitor machine learning models.

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

Automated Time Series Forecasting

[pip install medmnist] 18x Standardized Datasets for 2D and 3D Biomedical Image Classification

Build, train, optimize, and run computer vision models locally, from raw images to live inference. Open source, optimized for Intel XPU (CPU-only and CUDA also supported).

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

An autoML framework & toolkit for machine learning on graphs.

TensorFlow 101: Introduction to Deep Learning

Fast & Simple Resource-Constrained Learning of Deep Network Structure

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.

LLM agents as your hyperparameter optimizer.

EvalML is an AutoML library written in python.

Luminaire is a python package that provides ML driven solutions for monitoring time series data.

Distributed High-Performance Symbolic Regression in Julia

Notebooks, code samples, sample apps, and other resources that demonstrate how to use, develop and manage machine learning and generative AI workflows using Google Cloud Vertex AI.

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Created by Ram Seshadri. Collaborators welcome.

Code for Kaggle Data Science Competitions

Manipulating Python Programs

Automated modeling and machine learning framework FEDOT

Machine learning for Ruby

NAS-Bench-201 API and Instruction

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.

Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

A machine learning tool for automated prediction engineering. It allows you to easily structure prediction problems and generate labels for supervised learning.

Lightwood is Legos for Machine Learning.