Showing 21-40 of 52 projects
An automatic model compression framework for developing smaller and faster AI applications.
Automated architecture search and hyperparameter optimization for PyTorch models.
A low code Machine Learning personalized ranking service for articles, listings, search results, recommendations.
A curated list of AutoDL resources and an in-depth analysis for developers interested in automated deep learning and neural architecture search.
SparseML provides a library for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models.
A library for training and deploying efficient AI models on edge devices and mobile apps.
Automatically visualize any dataset, any size with a single line of code, built for vibe coders.
Java and Kotlin code samples for Google Cloud Platform services like AppEngine, AutoML, and Vision API.
A no-code AutoML tool that generates a working model from a CSV file and target field.
A collection of Microsoft's work on NAS and Vision Transformer for efficient AI models.
A Python AutoML library for building trading systems and sports betting models.
Automated machine learning for analytics & production use cases powered by popular ML libraries.
An automated time-series outlier detection system built with Python for anomaly detection and autoML.
Fast AutoAugment is an official PyTorch implementation for automatic data augmentation.
An open-source Python framework for implementing the Chanlun technical analysis methodology, supporting trading strategies and visualizations.
Automated deep learning algorithms implemented in PyTorch for AI-driven developers.
Open-source implementation of Google Vizier for hyper parameters tuning in machine learning models.
MLBox is a powerful automated machine learning Python library that simplifies and accelerates the machine learning workflow.
ModelFox makes it easy to train, deploy, and monitor machine learning models.
An efficient neural architecture search (NAS) method that directly optimizes for the target task and hardware.
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