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78 search results found

H2o 3 ⭐ 6,618

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

Flaml ⭐ 3,500

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

Adanet ⭐ 3,309

Fast and flexible AutoML with learning guarantees.

Forecasting ⭐ 2,540

Time Series Forecasting Best Practices & Examples

Machine Learning ⭐ 2,260

머신러닝 입문자 혹은 스터디를 준비하시는 분들에게 도움이 되고자 만든 repository입니다. (This repository is intented for helping whom are interested in machine learning study)

Cube Studio ⭐ 1,710

cube studio开源云原生一站式机器学习/深度学习AI平台，支持sso登录，多租户/多项目组，数据资产对

H2o Tutorials ⭐ 1,403

Tutorials and training material for the H2O Machine Learning Platform

Advisor ⭐ 1,202

Open-source implementation of Google Vizier for hyper parameters tuning

Tensorflow 101 ⭐ 987

TensorFlow 101: Introduction to Deep Learning

Power Tools for AI Engineers With Deadlines

Keras Idiomatic Programmer ⭐ 705

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

Auto_ts ⭐ 634

Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.

X Stable Diffusion ⭐ 523

Real-time inference for Stable Diffusion - 0.88s latency. Covers AITemplate, nvFuser, TensorRT, FlashAttention.

Automl Implementation For Static And Dynamic Data Analytics ⭐ 443

Implementation/Tutorial of using Automated Machine Learning (AutoML) methods for static/batch and online/continual learning

PyAF is an Open Source Python library for Automatic Time Series Forecasting built on top of popular pydata modules.

Efficient Learning of Augmentation Policy Schedules

Codefun ⭐ 326

DataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeployi

Amazon Sagemaker Immersion Day ⭐ 233

Codeflare ⭐ 199

Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.

Automl_service ⭐ 184

Deploy AutoML as a service using Flask

Tensorflow Lifetime Value ⭐ 140

Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.

Automated Tool for Optimized Modelling

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

Automl App ⭐ 97

AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally!

Nba_betting ⭐ 93

Using data analytics and machine learning to create a comprehensive and profitable system for predicting the outcomes of NBA games.

End to end MLRun demos

Benderopt ⭐ 85

Black-box optimization library

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.

Nasnet Keras ⭐ 82

Keras implementation of NASNet-A

Automated Machine Learning ⭐ 80

All AutoML Libraries

Pipelinevis ⭐ 79

Pipeline Profiler is a tool for visualizing machine learning pipelines generated by AutoML tools.

Efficientnet ⭐ 70

EfficientNets snapshot

Ineuron Full Stack Data Science Assignments ⭐ 68

This Repository consists of Assignments and projects of the iNeuron Full Stack Data Science Course

Hands On Automated Machine Learning ⭐ 64

Hands-On Automated Machine Learning, published by Packt

Fedot.industrial ⭐ 62

Python framework for automated time series classification, object recognition and anomaly detection

Mljar Examples ⭐ 55

Examples how MLJAR can be used

Fedot Examples ⭐ 44

The repository contains examples for the AutoML framework FEDOT

Efficientnet_keras_transfer_learning ⭐ 41

Transfer Learning with EfficientNet in Keras

Google Cloud Platform Machine Learning Samples

Framework for meta-optimisation in AutoML tasks

Deep Learning And Paper ⭐ 33

【仅作为交流学习使用】机器智能--相关书目及经典论文包括AutoML、情感分类、语音识别、声纹识别、

NitroML is a modular, portable, and scalable model-quality benchmarking framework for Machine Learning and Automated Machine Learning (AutoML) pipelines.

Managed_ml_systems_and_iot ⭐ 32

Managed Machine Learning Systems and Internet of Things Live Lesson

Intel® End-to-End AI Optimization Kit

Interactive coding assistant for data scientists and machine learning developers, empowered by large language models.

Dual Deployments On Vertex Ai ⭐ 27

Project demonstrating dual model deployment scenarios using Vertex AI (GCP).

Azuremlstarter ⭐ 27

This is some tutorial to get you started with Azure ML Service

Cerebros Core Algorithm Alpha ⭐ 26

The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategies.

Azureml Workshop 2019 ⭐ 25

AzureML Workshop for the 2019 Euro Tour

Edge Computer Vision ⭐ 24

Edge Computer Vision Course

Kdd20 Tutorial ⭐ 24

Tutorial on Automated Machine Learning at KDD 2020

End To End Automl Insurance ⭐ 23

An End-to-End Implementation of AutoML with H2O, MLflow, FastAPI, and Streamlit for Insurance Cross-Sell

Machinelearningsamples Notebooks ⭐ 23

Example Notebooks for Azure Machine Learning

Automl Handson ⭐ 21

Notebook for workshop

Dxc Industrialized Ai Starter ⭐ 21

Industrialized AI Starter

Toxic Language Detection in Social Media for Brazilian Portuguese: New Dataset and Multilingual Analysis

Cvpr2022 Nas Competition Track1 3th Solution ⭐ 17

Implementation of PGONAS for CVPR22W and RD-NAS for ICASSP23

Gateway_to_deepreinforcementlearning_deepnn ⭐ 17

🏆 Welcome to the wonderland of "AI" = f(DL, RL, DRL, ML, NLP, KG, MLOPS)

Time Series H2o Automl Example ⭐ 16

Time-series forecasting using H2O's AutoML example

Insolver ⭐ 16

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

MnasNet snapshot

Lazytextpredict ⭐ 15

Text classification automl

Fedot_electro_ts_case ⭐ 15

The sources of the time-series forecasting real-world case with FEDOT.

Workshopaml2020 ⭐ 14

Cloud workshop Azure ML 2020

Demo Github Actions ⭐ 11

demo CI/CD pipeline using MLRun, Kubeflow and GitHub Actions

Marvin Automl ⭐ 10

Amlworkshop Iotedge Devops ⭐ 10

This repo has some proposed agenda for Azure Machine Learning related hands-on workshops.

Automl Medical Image Classification ⭐ 10

Google Cloud AutoML Vision for Medical Image Classification

Google Efficientnet ⭐ 9

Replica of code from here: https://github.com/tensorflow/tpu/tree/master/mode

Survival Prediction Of Patients With Heart Failure ⭐ 8

Training two models, one with with AutoML & one with HyperDrive, compare, and deploy the best model as a service - A Machine Learning Engineer Project

In this repository we test AutoML approaches for time-series forecasting

Automl Aiconf 2019 Bj ⭐ 8

AutoML tutorial for AI Conferencen Beijing 2019

2022l Wb Automl ⭐ 8

Case Study course for DS studies in Spring 2021/22.

H2o Ai 101 ⭐ 8

This repository covers h2o ai based implementations

Operationalizing Ml ⭐ 8

In this project we use Microsoft Azure to configure a cloud based Machine Learning model.

Fedot Ts Benchmark ⭐ 8

Benchmarking Fedot on timeseries forecasting tasks

2022 Bigcontest ⭐ 7

[ 공모전 ] 다각적 모델을 활용한 대출 신청 여부 예측과 고객 군집 별 서비스 메시지 제안 : 이상치 탐지, 머신러닝, 딥러닝 모델

Dp Hyperparamtuning ⭐ 6

DP-HyperparamTuning offers an array of tools for fast and easy hypertuning of various hyperparameters for the DP-SGD algorithm.

Fsharp Automl Minimal ⭐ 6

Minimal automl interactive f# notebook

A prototype for unpackai new modules,

Performance Pred ⭐ 5

Code developed during my internship at CERN Openlab in summer 2022

Aa Nps Analysis ⭐ 5

NPS sentiment analysis

Automated Machine Learning ⭐ 5

Notebooks ⭐ 5

Jupyter notebooks for learning and demonstrations

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