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406 search results found

Jina ⭐ 18,527

🔮 Build multimodal AI services via cloud native technologies

Kubeflow ⭐ 12,627

Machine Learning Toolkit for Kubernetes

Kedro ⭐ 8,423

A Python framework for creating maintainable and modular data science code.

Stanza ⭐ 6,663

Official Stanford NLP Python Library for Many Human Languages

Augmentor ⭐ 4,917

Image augmentation library in Python for machine learning.

Mage Ai ⭐ 4,819

🧙 The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data.

Clearml ⭐ 4,459

ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management

Deeplearningproject ⭐ 4,043

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

Orchest ⭐ 3,876

Build data pipelines, the easy way 🛠️

Polyaxon ⭐ 3,328

MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle

Production Level Deep Learning ⭐ 3,241

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

Pipelines ⭐ 3,208

Machine Learning Pipelines for Kubeflow

Ploomber ⭐ 3,083

The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️

Zenml ⭐ 2,897

ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.

Pipcook ⭐ 2,419

Machine learning platform for Web developers

Towhee ⭐ 2,292

Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.

Transmogrifai ⭐ 2,099

TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning

TFX is an end-to-end platform for deploying production ML pipelines

Rust Bert ⭐ 1,860

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

Automl Gs ⭐ 1,642

Provide an input CSV and a target field to predict, generate a model + code to run it.

Elyra ⭐ 1,605

Elyra extends JupyterLab with an AI centric approach.

Mlj.jl ⭐ 1,589

A Julia machine learning framework

Data Science Complete Tutorial ⭐ 1,575

For extensive instructor led learning

Mlbox ⭐ 1,403

MLBox is a powerful Automated Machine Learning python library.

Pytorch Toolbelt ⭐ 1,394

PyTorch extensions for fast R&D prototyping and Kaggle farming

Mlops ⭐ 1,239

Deepaudioclassification ⭐ 983

Finding the genre of a song with Deep Learning

Machine Learning automation and tracking

Nlp With Ruby ⭐ 957

Curated List: Practical Natural Language Processing done in Ruby

TODS: An Automated Time-series Outlier Detection System

Sematic ⭐ 811

An open-source ML pipeline development platform

【A simple C++ DAG framework】一个简单好用的、无任何三方依赖的、跨平台的、收录于awesome-cpp的、基于流图的并行计算框架。 & fork

Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.

Lightautoml ⭐ 769

LAMA - automatic model creation framework

Spacy Stanza ⭐ 677

💥 Use the latest Stanza (StanfordNLP) research models directly in spaCy

Onepanel ⭐ 669

The open source, end-to-end computer vision platform. Label, build, train, tune, deploy and automate in a unified platform that runs on any cloud and on-premises.

EvalML is an AutoML library written in python.

Trankit ⭐ 581

Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing

A graph-based functional API for building complex scikit-learn pipelines.

Monk_object_detection ⭐ 550

A one-stop repository for low-code easily-installable object detection pipelines.

Neuraxle ⭐ 533

The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.

Kubeflow’s superfood for Data Scientists

Covalent ⭐ 463

Pythonic tool for running machine-learning/high performance/quantum-computing workflows in heterogenous environments.

Open Solution Home Credit ⭐ 435

Open solution to the Home Credit Default Risk challenge 🏡

Aspect Based Sentiment Analysis ⭐ 413

💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)

Model Card Toolkit ⭐ 372

A toolkit that streamlines and automates the generation of model cards

Bodywork Core ⭐ 358

ML pipeline orchestration and model deployments on Kubernetes, made really easy.

Bio_embeddings ⭐ 357

Get protein embeddings from protein sequences

Open Solution Mapping Challenge ⭐ 351

Open solution to the Mapping Challenge 🌎

Automlpipeline.jl ⭐ 327

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

Synthdet ⭐ 322

SynthDet - An end-to-end object detection pipeline using synthetic data

Can_reverse_engineering ⭐ 308

Automated Payload Reverse Engineering Pipeline for the Controller Area Network (CAN) protocol

Neo4j Nlp ⭐ 304

NLP Capabilities in Neo4j

Katana Skipper ⭐ 288

Simple and flexible ML workflow engine

Cookiecutter Fastapi ⭐ 285

Cookiecutter template for FastAPI projects using: Machine Learning, Poetry, Github Actions and Pytests

Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning Pipeline.

Nimbusml ⭐ 265

Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.

Jpmml Sparkml ⭐ 265

Java library and command-line application for converting Apache Spark ML pipelines to PMML

Hydro Serving ⭐ 248

An end-to-end machine learning and data mining framework on Hadoop

Morphl Community Edition ⭐ 233

MorphL Community Edition uses big data and machine learning to predict user behaviors in digital products and services with the end goal of increasing KPIs (click-through rates, conversion rates, etc.) through personalization

Forte is a flexible and powerful ML workflow builder. This is part of the CASL project: http://casl-project.ai/

TorchX is a universal job launcher for PyTorch applications. TorchX is designed to have fast iteration time for training/research and support for E2E production ML pipelines when you're ready.

The easiest way to use Machine Learning. Mix and match underlying ML libraries and data set sources. Generate new datasets or modify existing ones with ease.

An ML framework to accelerate research and its path to production.

Pipelinex ⭐ 198

PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more

Toloka Kit ⭐ 188

Toloka-Kit is a Python library for working with Toloka API.

Batchflow ⭐ 188

BatchFlow helps you conveniently work with random or sequential batches of your data and define data processing and machine learning workflows even for datasets that do not fit into memory.

Codeflare ⭐ 182

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

Whylogs Java ⭐ 179

Profile and monitor your ML data pipeline end-to-end

Developer platform for production ML.

A simple Spark-powered ETL framework that just works 🍺

Feature Selection For Machine Learning ⭐ 167

Code repository for the online course Feature Selection for Machine Learning

Open Solution Toxic Comments ⭐ 151

Open solution to the Toxic Comment Classification Challenge

Fondant ⭐ 146

Sweet data-centric foundation model fine-tuning

Zenbytes ⭐ 142

A simple guide to MLOps through ZenML and its various integrations.

Emotion_dataset ⭐ 140

😄 Dataset for Emotion Classification

Lightweight, Python library for fast and reproducible experimentation 🔬

Machine Learning eXchange (MLX). Data and AI Assets Catalog and Execution Engine

🏭 PDF text extraction pipeline: self-hosted, local-first, Docker-based

Automated Tool for Optimized Modelling

Spokestack Python ⭐ 124

Spokestack is a library that allows a user to easily incorporate a voice interface into any Python application with a focus on embedded systems.

Incubator Liminal ⭐ 123

Apache Liminals goal is to operationalise the machine learning process, allowing data scientists to quickly transition from a successful experiment to an automated pipeline of model training, validation, deployment and inference in production. Liminal provides a Domain Specific Language to build ML workflows on top of Apache Airflow.

Augmentor.jl ⭐ 123

A fast image augmentation library in Julia for machine learning.

Mlr3pipelines ⭐ 121

Dataflow Programming for Machine Learning in R

Open Solution Salt Identification ⭐ 121

Open solution to the TGS Salt Identification Challenge

Automatic Speech Recognition ⭐ 116

🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)

Mlblocks ⭐ 102

A library for composing end-to-end tunable machine learning pipelines.

Spark Nlp Models ⭐ 100

Models and Pipelines for the Spark NLP library

Build and deploy a serverless data pipeline on AWS with no effort.

K3ai is a lightweight, fully automated, AI infrastructure-in-a-box solution that allows anyone to experiment quickly with Kubeflow pipelines. K3ai is perfect for anything from Edge to laptops.

Pyspark2pmml ⭐ 91

Python library for converting Apache Spark ML pipelines to PMML

Autoalbument ⭐ 89

AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/

Automatminer ⭐ 89

An automatic engine for predicting materials properties.

Fastdeploy ⭐ 84

Deploy DL/ ML inference pipelines with minimal extra code.

Tabletransforms.jl ⭐ 82

Transforms and pipelines with tabular data in Julia

Pycrop Yield Prediction ⭐ 80

A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction

Inferoxy ⭐ 80

Service for quick deploying and using dockerized Computer Vision models

End to end MLRun demos

MLeap allows for easily putting Spark ML pipelines into production

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