AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
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Updated
Dec 24, 2024 - Python
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Ergonomic machine learning for everyone.
MLBox is a powerful Automated Machine Learning python library.
[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
A deep learning tool for time series classification and regression
The practitioner's forecasting library
Asynchronous Distributed Hyperparameter Optimization.
This Repository consists of Assignments and projects of the iNeuron Full Stack Data Science Course
NSGA-Net, a Neural Architecture Search Algorithm
A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.
aw_nas: A Modularized and Extensible NAS Framework
(CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation
State-of-the art Automated Machine Learning python library for Tabular Data
[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
a collection of awesome machine learning and deep learning Python libraries&tools. 热门实用机器学习和深入学习Python库和工具的集合
DeepArchitect: Automatically Designing and Training Deep Architectures
A general, modular, and programmable architecture search framework
Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Model on Time Series data sets with single line of code. Also, provides utilify facility for time-series signal similarities matching, and removing noise from timeseries signals.
An intelligent, flexible grammar of machine learning.
D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn in Python.
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