AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
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Updated
May 24, 2024 - Python
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
MLBox is a powerful Automated Machine Learning python library.
Ergonomic machine learning for everyone.
NSGA-Net, a Neural Architecture Search Algorithm
[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
Asynchronous Distributed Hyperparameter Optimization.
A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.
State-of-the art Automated Machine Learning python library for Tabular Data
The practitioner's forecasting library
(CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation
[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
aw_nas: A Modularized and Extensible NAS Framework
DeepArchitect: Automatically Designing and Training Deep Architectures
A general, modular, and programmable architecture search framework
mantis-ml: Stochastic semi-supervised learning to prioritise genes from high throughput genomic screens
An intelligent, flexible grammar of machine learning.
CLI-based tool to automatically build ML models from training data into a servable Docker container
Digital twins are created using data derived from sensors (often IoT or IIoT) that are attached to or embedded in the original object. This data provides both structural and operational views of what happens to the object in real time, allowing engineers to monitor systems and model systems dynamics.
Semi-Auto Machine Learning Library by d4rk-lucif3r
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