auto-ml

There are 7 repositories under auto-ml topic.

quic / aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
quantization deep-learning compression open-source machine-learning pruning auto-ml network-compression deep-neural-networks network-quantization opensource
Language:Python 2067
libra
Palashio / libra
Ergonomic machine learning for everyone.
auto-ml machine-learning neural-networks
Language:Python 1913
MLBox
AxeldeRomblay / MLBox
MLBox is a powerful Automated Machine Learning python library.
machine-learning auto-ml kaggle deep-learning stacking pipeline optimization preprocessing encoding prediction distributed xgboost drift classification regression lightgbm keras automated-machine-learning automl data-science
Language:Python 1489
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
machine-learning data-science javascript machine-learning-library machine-learning-algorithms ml data-scientists javascript-library scikit-learn kaggle numerai automated-machine-learning automl auto-ml
Language:Python 408
NLeSC / mcfly
A deep learning tool for time series classification and regression
auto-ml deep-learning time-series
Language:JavaScript 363
mikekeith52 / scalecast
The practitioner's forecasting library
python time-series machine-learning data-science deep-learning forecasting keras scikit-learn mase msis smape auto-ml easy-to-use scikit-learn-python vecm lstm pandas recurrent-neural-networks
Language:Python 332
Epistimio / orion
Asynchronous Distributed Hyperparameter Optimization.
hyperparameter-optimization deep-neural-networks deep-learning research auto-ml machine-learning
Language:Python 282
ianwhale / nsga-net
NSGA-Net, a Neural Architecture Search Algorithm
auto-ml deep-learning evolutionary-computation neural-architecture-search nsga-ii pytorch
Language:Python 261
amanovishnu / iNeuron-Full-Stack-Data-Science-Assignments
This Repository consists of Assignments and projects of the iNeuron Full Stack Data Science Course
python sql excel datascience machine-learning computer-vision natural-language-processing exploratory-data-analysis deep-learning tableau statistics nlp data-science dataanalytics bigdata cloud linear-regression auto-ml pytroch recommender-system
Language:Jupyter Notebook 252
Bisonai / awesome-edge-machine-learning
A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.
auto-ml awesome-list edge edge-deep-learning edge-machine-learning efficient-architectures embedded-machine-learning federated-learning iot mobile-machine-learning pruning quantization
Language:Python 247
walkerning / aw_nas
aw_nas: A Modularized and Extensible NAS Framework
auto-ml deep-neural-networks neural-architecture-search
Language:Python 243
changlin31 / DNA
(CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation
auto-ml deep-learning image-classification nas neural-architecture-search pytorch
Language:Python 234
Alex-Lekov / AutoML_Alex
State-of-the art Automated Machine Learning python library for Tabular Data
automl auto-ml optimisation ml cross-validation xgboost stacking stacking-ensemble hyperparameter-optimization hyperparameter-tuning sklearn python machine-learning machine-learning-library machine-learning-models data-science data-science-projects model-selection automatic-machine-learning
Language:Python 224
mikelzc1990 / nsganetv2
[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search
neural-architecture-search multi-objective-optimization evolutionary-algorithms auto-ml
Language:Python 147
negrinho / deep_architect_legacy
DeepArchitect: Automatically Designing and Training Deep Architectures
machine-learning deep-learning hyperparameter-optimization architecture-search neural-architecture-search auto-ml automatic-machine-learning
Language:Python 144
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
auto-ml awesome awesome-list cv data-analysis data-mining data-science data-visualization deep-learning fintech machine-learning machine-learning-algorithms nlp pytorch recommender-system sklearn tensorflow text-mining time-series
123
negrinho / deep_architect
A general, modular, and programmable architecture search framework
architecture-search neural-architecture-search neural-networks hyperparameter-optimization auto-ml machine-learning automatic-machine-learning deep-neural-networks deep-learning colab colab-notebook tensorflow pytorch
Language:Python 122
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.
python forecasting nowcasting-models forecasting-models explainable-ml deep-neural-networks deep-learning time-series time-series-analysis auto-ml auto-timeseries interpretable-ai sensors timeseries multivariate ecg-signal siamese-neural-network machine-learning
Language:Jupyter Notebook 112
nylon
Palashio / nylon
An intelligent, flexible grammar of machine learning.
auto-ml data-science grammar machine-learning
Language:Python 84
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.
machine-learning scikit-learn classification regression auto-ml clustering python
Language:Jupyter Notebook 77
code-kern-ai / automl-docker
CLI-based tool to automatically build ML models from training data into a servable Docker container
auto-ml cli containerization docker fastapi natural-language-processing nlp python text-classification ui webservice
Language:Python 57
xplainable / xplainable
Real-time explainable machine learning for business optimisation
auto-ml data-analytics data-science explainable-ai explainable-ml machine-learning machine-learning-algorithms predictions python shap statistics xai xplainable prediction
Language:Python 56
alxmamaev / sdsj-automl
Sberbank Data Science Jorney Auto-ML competition
auto-ml automl sberbank
Language:Python 30
astrazeneca-cgr-publications / mantis-ml-release
mantis-ml: Stochastic semi-supervised learning to prioritise genes from high throughput genomic screens
auto-ml genomics keras machine-learning scikit-learn tensorflow
Language:Python 27
onionbot / OnionBot-API
An assistive stove-top cooking device with machine vision - for domestic automation research
python computer-vision auto-ml raspberry-pi cooking domestic-automation
Language:Python 27
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.
deep-learning python classification neural-network auto-ml
Language:Python 24
serengil / h2o-ai-101
This repository covers h2o ai based implementations
h2o h2oai gbm gradient-boosting gradient-boosting-machine gradient-boosting-decision-trees automl auto-ml machine-learning deep-learning
Language:Jupyter Notebook 19
MindSetLib / Insolver
Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.
insurance insurance-claims insurance-company insurance-team insurance-scoring low-code machine-learning data-science auto-ml automated-machine-learning automl hyperparameter-optimization feature-engineering bayesian-optimization elyra elyra-community
Language:Jupyter Notebook 18
gilad-rubin / hypster
HyPSTER - HyperParameter optimization on STERoids
auto-ml hyperparameter-optimization machine-learning
Language:Python 14
fabprezja / deep-fast-vision
A Python library for rapid prototyping of deep transfer learning vision models.
auto-ml deep-learning machine-learning python tensorflow-keras computer-vision
Language:Python 13
tidyfit
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.
auto-ml classification machine-learning regression tidyverse
Language:R 13
adamavip / nirs-protein-prediction
We present here a 1D convolutional neural network model to predict grain protein content using spectroscopic data of multiple cereals
auto-ml deep-learning machine-learning nirs plant-breeding plant-phenotyping statistical-modeling
Language:Jupyter Notebook 12
gmrukwa / divik
Divisive Intelligent K-Means algorithm (DiviK) for joint feature selection and clustering of heavily multidimensional data.
clustering machine-learning divik mass-spectrometry-imaging single-cell-rna-seq omics-analysis feature-selection feature-engineering auto-ml unsupervised-auto-ml auto-clustering divisive-intelligent-kmeans gap dunn
Language:Python 12
maj34 / 2022-BigContest
[ 공모전 ] 다각적 모델을 활용한 대출 신청 여부 예측과 고객 군집 별 서비스 메시지 제안 : 이상치 탐지, 머신러닝, 딥러닝 모델
anomaly-detection auto-ml clustering customer-segmentation deep-learning explainable-artificial-intelligence machine-learning
Language:Jupyter Notebook 12
twentyone
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.
machine-learning deep-learning auto-ml
Language:Python 11
uchidalab / DynamicDA-with-GatingNetworks
ICPR2022: Dynamic Data Augmentation with Gating Networks for Time Series Recognition
auto-data-augmentation auto-ml data-augmentation deep-learning explainable-ai gating-networks time-series
Language:Python 11