auto-ml
There are 99 repositories under auto-ml topic.
quic/aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Palashio/libra
Ergonomic machine learning for everyone.
AxeldeRomblay/MLBox
MLBox is a powerful Automated Machine Learning python library.
ClimbsRocks/machineJS
[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
NLeSC/mcfly
A deep learning tool for time series classification and regression
mikekeith52/scalecast
The practitioner's forecasting library
Epistimio/orion
Asynchronous Distributed Hyperparameter Optimization.
ianwhale/nsga-net
NSGA-Net, a Neural Architecture Search Algorithm
amanovishnu/iNeuron-Full-Stack-Data-Science-Assignments
This Repository consists of Assignments and projects of the iNeuron Full Stack Data Science Course
Bisonai/awesome-edge-machine-learning
A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.
walkerning/aw_nas
aw_nas: A Modularized and Extensible NAS Framework
changlin31/DNA
(CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation
Alex-Lekov/AutoML_Alex
State-of-the art Automated Machine Learning python library for Tabular Data
mikelzc1990/nsganetv2
[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
negrinho/deep_architect_legacy
DeepArchitect: Automatically Designing and Training Deep Architectures
HanXinzi-AI/awesome-python-machine-learning-resources
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
negrinho/deep_architect
A general, modular, and programmable architecture search framework
ajayarunachalam/Deep_XF
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.
Palashio/nylon
An intelligent, flexible grammar of machine learning.
dlab-berkeley/Python-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.
code-kern-ai/automl-docker
CLI-based tool to automatically build ML models from training data into a servable Docker container
xplainable/xplainable
Real-time explainable machine learning for business optimisation
alxmamaev/sdsj-automl
Sberbank Data Science Jorney Auto-ML competition
astrazeneca-cgr-publications/mantis-ml-release
mantis-ml: Stochastic semi-supervised learning to prioritise genes from high throughput genomic screens
onionbot/OnionBot-API
An assistive stove-top cooking device with machine vision - for domestic automation research
haihabi/GeneticNAS
The genetic neural architecture search (GeneticNAS) is a neural architecture search method that is based on genetic algorithm which utilized weight sharing across all candidate network.
gilad-rubin/hypster
HyPSTER - HyperParameter optimization on STERoids
serengil/h2o-ai-101
This repository covers h2o ai based implementations
MindSetLib/Insolver
Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.
fabprezja/deep-fast-vision
A Python library for rapid prototyping of deep transfer learning vision models.
jpfitzinger/tidyfit
An extension to the R tidyverse for automated ML. The package allows fitting and cross validation of linear regression and classification algorithms on grouped data.
maj34/2022-BigContest
[ 공모전 ] 다각적 모델을 활용한 대출 신청 여부 예측과 고객 군집 별 서비스 메시지 제안 : 이상치 탐지, 머신러닝, 딥러닝 모델
adamavip/nirs-protein-prediction
We present here a 1D convolutional neural network model to predict grain protein content using spectroscopic data of multiple cereals
gmrukwa/divik
Divisive Intelligent K-Means algorithm (DiviK) for joint feature selection and clustering of heavily multidimensional data.
curl-tech/twentyone
Slow progress? Twenty One (21) is the auto ML engine which makes it easy to dish out ML models in an automated way.
uchidalab/DynamicDA-with-GatingNetworks
ICPR2022: Dynamic Data Augmentation with Gating Networks for Time Series Recognition