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GitHub topics: auto-ml

eXascaleInfolab/ImputeGAP

ImputeGAP: A library of Imputation Techniques for Time Series Data

Language: Jupyter Notebook - Size: 1010 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 15 - Forks: 0

deeppavlov/AutoIntent

An open source tool for automatic configuration of a text classification pipeline for intent prediction

Language: Python - Size: 53 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 18 - Forks: 4

isgel/AutoGrowAI

๐ŸŒ Self-Supervised Learning AI Framework | ่‡ช็›‘็ฃๅญฆไน AIๆก†ๆžถ

Language: Python - Size: 35.2 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

quic/aimet

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

Language: Python - Size: 19.8 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 2,292 - Forks: 401

Alex-Lekov/AutoML_Alex

State-of-the art Automated Machine Learning python library for Tabular Data

Language: Python - Size: 25.9 MB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 232 - Forks: 43

gilad-rubin/hypster

HyPSTER - HyperParameter optimization on STERoids

Language: Python - Size: 9.62 MB - Last synced at: 16 days ago - Pushed at: 6 months ago - Stars: 48 - Forks: 2

AxeldeRomblay/MLBox

MLBox is a powerful Automated Machine Learning python library.

Language: Python - Size: 50 MB - Last synced at: 16 days ago - Pushed at: almost 2 years ago - Stars: 1,514 - Forks: 275

quic/aimet-pages

AIMET GitHub pages documentation

Language: HTML - Size: 41 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 8 - Forks: 4

Epistimio/orion

Asynchronous Distributed Hyperparameter Optimization.

Language: Python - Size: 49.2 MB - Last synced at: 7 days ago - Pushed at: 3 months ago - Stars: 293 - Forks: 50

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.

Language: Jupyter Notebook - Size: 27.5 MB - Last synced at: 5 days ago - Pushed at: over 2 years ago - Stars: 118 - Forks: 24

ianwhale/nsga-net

NSGA-Net, a Neural Architecture Search Algorithm

Language: Python - Size: 2.43 MB - Last synced at: 2 days ago - Pushed at: over 5 years ago - Stars: 268 - Forks: 80

mikekeith52/scalecast

The practitioner's forecasting library

Language: Python - Size: 1.16 GB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 336 - Forks: 40

AutoViML/featurewiz_polars

New Polars implementation of the classic featurewiz MRMR algorithm. Created by Ram Seshadri. Collaborators welcome.

Language: Python - Size: 660 KB - Last synced at: 8 days ago - Pushed at: about 1 month ago - Stars: 25 - Forks: 1

HanXinzi-AI/awesome-python-machine-learning-resources

a collection of awesome machine learning and deep learning Python libraries&tools. ็ƒญ้—จๅฎž็”จๆœบๅ™จๅญฆไน ๅ’Œๆทฑๅ…ฅๅญฆไน Pythonๅบ“ๅ’Œๅทฅๅ…ท็š„้›†ๅˆ

Size: 11 MB - Last synced at: 6 days ago - Pushed at: 11 months ago - Stars: 166 - Forks: 25

Bisonai/awesome-edge-machine-learning

A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.

Language: Python - Size: 135 KB - Last synced at: 11 days ago - Pushed at: about 2 years ago - Stars: 261 - Forks: 50

NLeSC/mcfly

A deep learning tool for time series classification and regression

Language: JavaScript - Size: 10.9 MB - Last synced at: 30 days ago - Pushed at: 8 months ago - Stars: 364 - Forks: 82

negrinho/deep_architect

A general, modular, and programmable architecture search framework

Language: Python - Size: 1.81 MB - Last synced at: about 1 month ago - Pushed at: about 2 years ago - Stars: 123 - Forks: 18

Palashio/libra

Ergonomic machine learning for everyone.

Language: Python - Size: 182 MB - Last synced at: 7 days ago - Pushed at: almost 2 years ago - Stars: 1,915 - Forks: 108

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

Language: Python - Size: 467 KB - Last synced at: about 1 month ago - Pushed at: over 8 years ago - Stars: 403 - Forks: 62

negrinho/deep_architect_legacy

DeepArchitect: Automatically Designing and Training Deep Architectures

Language: Python - Size: 34.2 KB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 145 - Forks: 20

MindSetLib/Insolver

Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.

Language: Jupyter Notebook - Size: 43.1 MB - Last synced at: 17 days ago - Pushed at: 4 months ago - Stars: 18 - Forks: 4

astrazeneca-cgr-publications/mantis-ml-release

mantis-ml: Stochastic semi-supervised learning to prioritise genes from high throughput genomic screens

Language: Python - Size: 274 MB - Last synced at: 6 days ago - Pushed at: over 1 year ago - Stars: 29 - Forks: 9

serengil/h2o-ai-101

This repository covers h2o ai based implementations

Language: Jupyter Notebook - Size: 1.59 MB - Last synced at: about 1 month ago - Pushed at: over 5 years ago - Stars: 21 - Forks: 5

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.

Language: R - Size: 70.7 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 16 - Forks: 1

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.

Language: Jupyter Notebook - Size: 8.23 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 82 - Forks: 68

MStrzezon/Arxiv-Topic-Trend-Analysis

The comparative evaluation of topic modeling approaches, including LDA, BERTopic, Doc2Vec, and Top2Vec, highlights distinct strengths and optimal use cases for each model. In the following, we out- line their clustering performance, thematic insights, and practical applications

Language: Jupyter Notebook - Size: 97.1 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

imoneoi/xrl-script

Efficient AutoRL script for any framework

Language: Python - Size: 5.86 KB - Last synced at: about 1 month ago - Pushed at: almost 5 years ago - Stars: 6 - Forks: 0

kengz/feature_transform

Build Scikit ColumnTransformers by specifying configs.

Language: Python - Size: 611 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

MehradAria/BC-Survival-MLDL

Application of machine learning in breast cancer survival prediction using a multimethod approach

Language: Python - Size: 151 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

ayhaidar/pspso

pspso is a package for selecting machine learning algorithms parameters based on PSO algorithm.

Language: Python - Size: 8.17 MB - Last synced at: 20 days ago - Pushed at: over 2 years ago - Stars: 9 - Forks: 6

elvis-darko/AUTO-MACHINE-LEARNING-WEB-APP-USING-STREAMLIT-AND-PYCARET

This repository contains a practice streamlit app that automatically builds, trains and downloads(optional) the best performing machine learning model

Language: Python - Size: 396 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 1 - Forks: 0

automl-private/significance_analysis

This package is used to analyse datasets of different HPO-algorithms performing on multiple benchmarks.

Language: Jupyter Notebook - Size: 61.9 MB - Last synced at: 3 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

tcengine/tai-chi

A prototype for unpackai new modules,

Language: Jupyter Notebook - Size: 3.12 MB - Last synced at: 16 days ago - Pushed at: about 3 years ago - Stars: 4 - Forks: 1

Palashio/nylon

An intelligent, flexible grammar of machine learning.

Language: Python - Size: 1.89 MB - Last synced at: 29 days ago - Pushed at: almost 4 years ago - Stars: 83 - Forks: 8

xplainable/xplainable

Real-time explainable machine learning for business optimisation

Language: Python - Size: 19.4 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 57 - Forks: 6

UNViMe/edm-arch

In this repository you can find the information about the proposed model revised in the paper "Advanced Data Mining Solution for Educational Decision Making".

Language: Jupyter Notebook - Size: 1.25 MB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

harsha-desaraju/PyGen

A a Python package for optimization using genetic algorithms.

Language: Python - Size: 85 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0

yugwangyeol/2022-BigContest

[Competition] 2022 Big-Contest ์ •ํ˜• ๋ฐ์ดํ„ฐ ๋ถ„์„ ๋ถ„์•ผ, ๋‹ค๊ฐ์  ๋ชจ๋ธ์„ ํ™œ์šฉํ•œ ๋Œ€์ถœ ์‹ ์ฒญ ์—ฌ๋ถ€ ์˜ˆ์ธก๊ณผ ๊ณ ๊ฐ ๊ตฐ์ง‘ ๋ณ„ ์„œ๋น„์Šค ๋ฉ”์‹œ์ง€ ์ œ์•ˆ : ์ด์ƒ์น˜ ํƒ์ง€, ๋จธ์‹ ๋Ÿฌ๋‹, ๋”ฅ๋Ÿฌ๋‹ ๋ชจ๋ธ

Language: Jupyter Notebook - Size: 8.62 MB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

gmrukwa/divik

Divisive Intelligent K-Means algorithm (DiviK) for joint feature selection and clustering of heavily multidimensional data.

Language: Python - Size: 4.04 MB - Last synced at: about 1 year ago - Pushed at: over 1 year ago - Stars: 12 - Forks: 5

changlin31/DNA

(CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation

Language: Python - Size: 135 KB - Last synced at: 11 months ago - Pushed at: over 3 years ago - Stars: 233 - Forks: 35

prnvpwr2612/MS-AI-900-Practice

Completing the exercises & exploring service offered by Azure AI.

Language: Python - Size: 33.5 MB - Last synced at: 11 months ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

GUT-AI/auto-ml

Automated Machine Learning (AutoML)

Size: 30.3 KB - Last synced at: 28 days ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

IntegerMan/HockeyPenaltyPrediction

A machine learning experiment to predict NHL penalty minutes based on matchups using Azure Machine Learning and automated machine learning

Language: Jupyter Notebook - Size: 4.06 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

maj34/2022-BigContest

[ ๊ณต๋ชจ์ „ ] ๋‹ค๊ฐ์  ๋ชจ๋ธ์„ ํ™œ์šฉํ•œ ๋Œ€์ถœ ์‹ ์ฒญ ์—ฌ๋ถ€ ์˜ˆ์ธก๊ณผ ๊ณ ๊ฐ ๊ตฐ์ง‘ ๋ณ„ ์„œ๋น„์Šค ๋ฉ”์‹œ์ง€ ์ œ์•ˆ : ์ด์ƒ์น˜ ํƒ์ง€, ๋จธ์‹ ๋Ÿฌ๋‹, ๋”ฅ๋Ÿฌ๋‹ ๋ชจ๋ธ

Language: Jupyter Notebook - Size: 8.64 MB - Last synced at: 12 months ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 0

Thia-AI/Auto-AI

AutoML that runs within your ecosystem

Language: TypeScript - Size: 34.3 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0

bharxhav/auto-sklearn

A python package that computes LP on the entire sklearn space.

Language: Python - Size: 1.57 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

code-kern-ai/automl-docker ๐Ÿ“ฆ

CLI-based tool to automatically build ML models from training data into a servable Docker container

Language: Python - Size: 3.33 MB - Last synced at: about 1 year ago - Pushed at: over 2 years ago - Stars: 55 - Forks: 7

walkerning/aw_nas

aw_nas: A Modularized and Extensible NAS Framework

Language: Python - Size: 3.73 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 239 - Forks: 30

elphinkuo/distiller

The original experiments code for AAAI 2020 paper, "AutoCompress: An Automatic DNN Structured Pruning Framework for Ultra-High Compression Rates"

Language: Jupyter Notebook - Size: 36.1 MB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

xaviernogueira/Tabular_ML

Tabular machine learning simplified!

Language: Python - Size: 39 MB - Last synced at: 26 days ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

d4rk-lucif3r/LuciferML ๐Ÿ“ฆ

Semi-Auto Machine Learning Library by d4rk-lucif3r

Language: Python - Size: 2.52 MB - Last synced at: 7 months ago - Pushed at: almost 3 years ago - Stars: 8 - Forks: 6

IntegerMan/ML.NET-Auto-ML-ESRB-Rating-Classification

Classifying Game ESRB Ratings using ML.NET Auto ML

Language: C# - Size: 3.12 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 3 - Forks: 3

TrilokiDA/Vertex-AI

This repo explore the vertex ai component

Language: PureBasic - Size: 316 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

OthmanMohammad/ML-AutoTrainer-Engine

ML AutoTrainer Engine, developed using Streamlit, is an advanced app designed to automate the machine learning workflow. It provides a user-friendly platform for data processing, model training, and prediction, enabling a seamless, code-free interaction for machine learning tasks.

Language: Python - Size: 319 KB - Last synced at: 6 months ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

vegardhaneberg/SpecializationProject

A machine learning approach to soil moisture estimation using NASA's CYGNSS data.

Language: Python - Size: 37.1 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 2

hirokyammt/practical-data-science

Language: Jupyter Notebook - Size: 22.8 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

mmuratardag/DS_auto_explain_ML

A cross-platform application of auto-ML and explainable-ML to investigate to what extent they might be compatible

Language: Jupyter Notebook - Size: 5.25 MB - Last synced at: over 1 year ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

fabprezja/deep-fast-vision

A Python library for rapid prototyping of deep transfer learning vision models.

Language: Python - Size: 2.8 MB - Last synced at: 15 days ago - Pushed at: over 1 year ago - Stars: 13 - Forks: 1

closest-git/QuantumFold

Search neural-net structure with differentiable attention

Language: Python - Size: 437 KB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

mikelzc1990/nsganetv2

[ECCV2020] NSGANetV2: Evolutionary Multi-Objective Surrogate-Assisted Neural Architecture Search

Language: Python - Size: 3.22 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 130 - Forks: 34

adamavip/nirs-protein-prediction

We present here a 1D convolutional neural network model to predict grain protein content using spectroscopic data of multiple cereals

Language: Jupyter Notebook - Size: 11.6 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 8 - Forks: 2

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.

Language: Python - Size: 2.23 MB - Last synced at: over 1 year ago - Pushed at: almost 6 years ago - Stars: 20 - Forks: 3

willianspraciano/tcc-igoat-app

Project made in React Native to detect goat mucosa in photos using TensorFlow and AutoML model to predict if the animal is sick.

Language: TypeScript - Size: 28.9 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

alacwong/shopify-backend-challenge

Shopify backend challenge. Please see README for frontend and api urls.

Language: Python - Size: 54.7 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

kondratevakate/neurobot

Baseline machine learning models for neuroimaging vectorised data: Neuro Baseline Bot

Language: Jupyter Notebook - Size: 934 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

evgenyzorin/Practical-Data-Science

This repository contains all materials, including Labs in the Practical Data Science Specialization offered by DeepLearning.AI and Amazon Web Services on Coursera

Language: Jupyter Notebook - Size: 61.8 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

souvikg544/CustoPlus

Analyze your customer database with ease

Language: Python - Size: 511 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 4 - Forks: 1

uchidalab/DynamicDA-with-GatingNetworks

ICPR2022: Dynamic Data Augmentation with Gating Networks for Time Series Recognition

Language: Python - Size: 32.6 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 7 - Forks: 1

onionbot/OnionBot-API

An assistive stove-top cooking device with machine vision - for domestic automation research

Language: Python - Size: 36.9 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 24 - Forks: 3

databricks-industry-solutions/digital-twin

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.

Language: Python - Size: 52.7 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 4

AnhQuoc533/bike-sharing-demand-autogluon

Language: Jupyter Notebook - Size: 1.34 MB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

AI-14/mlify

A simple semi-autoML web app designed for beginners.

Language: Python - Size: 1.34 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

bhattbhavesh91/auto-sklearn-tutorial

Small tutorial on auto-sklearn which is an automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.

Language: Jupyter Notebook - Size: 2.22 MB - Last synced at: 23 days ago - Pushed at: almost 4 years ago - Stars: 6 - Forks: 8

R-Madhuram/UC-BerkeleyCapstone_CreditCardFraudDetection

Detecting and Identifying Fraudulent credit card transactions from normal transactions.

Language: Jupyter Notebook - Size: 42.2 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

danielorlando97/search-space

Python's DSL to describe the search space of search problems

Language: Jupyter Notebook - Size: 3.03 MB - Last synced at: 21 days ago - Pushed at: about 2 years ago - Stars: 5 - Forks: 0

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.

Language: Python - Size: 57.9 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 11 - Forks: 6

GUT-AI/automated-data-preprocessing

Automated Data Preprocessing

Size: 48.8 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 1

GUT-AI/nas

Neural Architecture Search (NAS)

Size: 14.6 KB - Last synced at: 28 days ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

thomassantosh/forex-forecasting

A repo to highlight the integration and use cases with the ADF + Azure Databricks integration

Language: Python - Size: 503 KB - Last synced at: 7 days ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

Sebastian1981/Insurance_Bill_Prediction

web app to predict insurance bills

Language: Jupyter Notebook - Size: 2.65 MB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

AbdulJabbar64/Heart-Attack-Risk-Predictor-Using-Auto-ML

Heart-attack risk detection in Auto ML by EvalML library

Language: Jupyter Notebook - Size: 283 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

ryszardmakuch/generating-supervised-ml-pipelines-using-genetic-programming

Excerpt from master's thesis on generating supervised machine learning pipelines using genetic programming.

Size: 3.64 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

Oreobird/AutoML

Auto machine learning framework based on sklearn, mlxtend, etc.

Language: Python - Size: 47.9 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 1

alxmamaev/sdsj-automl

Sberbank Data Science Jorney Auto-ML competition

Language: Python - Size: 14.6 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 28 - Forks: 9

viktor-platform/sample-automatic-machine-learning

Sample app to show how easy it can be to distribute versatile machine learning solutions to people with no experience in it

Language: Python - Size: 25.6 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 0

debdattasarkar/SageMaker-Practice-on-AWS

SageMaker Practice on AWS

Language: Jupyter Notebook - Size: 4.31 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 1

simonprovost/Auto-SKWE

Automated Machine learning applied to medical data while benchmarking frameworks of Auto-ML - Master's thesis study ๐Ÿ”ฌ

Language: Python - Size: 2.42 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

lugq1990/automl-engine

3 lines of code for automate machine learning for classification and regression

Language: Python - Size: 7.43 MB - Last synced at: 26 days ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

unaiLopez/mlsolver

This is an Automatic Machine Learning Framework

Language: Python - Size: 65.4 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

bhattbhavesh91/autokeras-classification

AutoKeras is an open-source library for performing AutoML for deep learning models based on Keras.In this video, I'll show you how you can use AutoKeras for Classification.

Language: Jupyter Notebook - Size: 51.8 KB - Last synced at: 23 days ago - Pushed at: almost 4 years ago - Stars: 4 - Forks: 2

plai-group/ubc_primitives

TA1-primitives of UBC for D3M

Language: Python - Size: 9.76 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 1

ShounakRay/AutoAnalytics

Automatically determine trends, correlations, and feature selections given dataset(s)

Language: Python - Size: 75.2 KB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

nisarg14/CSE523-Machine-Learning-Gophers

Warehouse Storage Optimization

Language: Jupyter Notebook - Size: 4.62 MB - Last synced at: about 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 2

AlexHex7/Darts_ChestX-Ray14_pytorch

The code is modified based on https://github.com/quark0/darts and used for learning

Language: Python - Size: 26.5 MB - Last synced at: 4 days ago - Pushed at: over 5 years ago - Stars: 3 - Forks: 0

resuelve/silk-ml

Simple Intelligent Learning Kit (SILK) for Machine learning

Language: Python - Size: 609 KB - Last synced at: 29 days ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 1

ferdiko/MI-for-NAS

Mutual information for fine-grained network analysis in neural architecture search

Size: 3.8 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

loaiabdalslam/AUL

Automated Deep learning & Machine Learning in JavaScript, in browser locally or in node.

Language: JavaScript - Size: 186 KB - Last synced at: 28 days ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 1

mmcenta/helpful-bookworm

Tackling AutoNLP.

Language: Python - Size: 4.21 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

Zu3zz/Neuron_networks_with_TF

using TF to retrain basic nn including CNN RNN GAN..

Language: Jupyter Notebook - Size: 158 MB - Last synced at: about 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

learningwithmachines/Kaggle-Titanic

Files and Notebooks for Kaggle Titanic

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auto-ml 102 machine-learning 59 deep-learning 30 python 18 data-science 17 automl 9 neural-architecture-search 9 pytorch 9 scikit-learn 8 nlp 8 hyperparameter-optimization 8 classification 8 time-series 7 deep-neural-networks 6 automated-machine-learning 6 sklearn 6 tensorflow 5 auto-sklearn 4 kaggle 4 keras 4 feature-engineering 4 clustering 4 computer-vision 4 docker 4 feature-selection 3 explainable-ai 3 ai 3 gut-ai 3 xgboost 3 data-analysis 3 data-mining 3 pandas 3 machine-learning-algorithms 3 azure 3 ml 3 data-preprocessing 3 regression 3 automatic-machine-learning 3 quantization 3 pruning 3 explainable-ml 3 forecasting 3 h2o 3 genetic-programming 2 anomaly-detection 2 lstm 2 customer-segmentation 2 deployment 2 supervised-learning 2 network-compression 2 streamlit 2 awesome-list 2 cv 2 feature-extraction 2 aws 2 pycaret-library 2 architecture-search 2 statistical-modeling 2 neural-networks 2 neural-network 2 deep-reinforcement-learning 2 bert 2 missing-values 2 aws-sagemaker 2 gradient-boosting 2 network-quantization 2 open-source 2 opensource 2 compression 2 automation 2 regression-models 2 machine-learning-library 2 onnx 2 stacking 2 text-classification 2 distributed 2 tabular-data 2 preprocessing 2 prediction 2 nas 2 evolutionary-algorithms 1 multi-objective-optimization 1 docker-compose 1 nirs 1 plant-breeding 1 cli 1 plant-phenotyping 1 classification-models 1 meta-learning 1 artifact-registry 1 data-cleaning 1 expo 1 knn-classifier 1 react-native 1 tensorflowjs 1 kaggle-competitions 1 typescript 1 api 1 flask-apis 1 fuzzy-matching 1