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Search results for machine learning pipeline
machine-learning
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pipeline
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171 search results found
Jina
⭐
19,573
☁️ Build multimodal AI applications with cloud-native stack
Argo Workflows
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14,146
Workflow Engine for Kubernetes
Kubeflow
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13,364
Machine Learning Toolkit for Kubernetes
Kedro
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9,257
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable, and modular.
Stanza
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6,931
Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages
Mage Ai
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6,324
🧙 The modern replacement for Airflow. Build, run, and manage data pipelines for integrating and transforming data.
Clearml
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5,009
ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management
Deeplearningproject
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4,043
An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.
Production Level Deep Learning
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3,957
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Orchest
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3,876
Build data pipelines, the easy way 🛠️
Zenml
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3,578
ZenML 🙏: Build portable, production-ready MLOps pipelines. https://zenml.io.
Polyaxon
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3,438
MLOps Tools For Managing & Orchestrating The Machine Learning LifeCycle
Pipelines
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3,368
Machine Learning Pipelines for Kubeflow
Ploomber
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3,318
The fastest ⚡️ way to build data pipelines. Develop iteratively, deploy anywhere. ☁️
Marimo
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3,037
A reactive notebook for Python — run reproducible experiments, execute as a script, deploy as an app, and version with git.
Towhee
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2,903
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Pipcook
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2,483
Machine learning platform for Web developers
Rust Bert
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2,300
Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)
Transmogrifai
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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
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2,051
TFX is an end-to-end platform for deploying production ML pipelines
Elyra
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1,721
Elyra extends JupyterLab with an AI centric approach.
Mlj.jl
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1,690
A Julia machine learning framework
Automl Gs
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1,642
Provide an input CSV and a target field to predict, generate a model + code to run it.
Data Science Complete Tutorial
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1,575
For extensive instructor led learning
Pytorch Toolbelt
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1,458
PyTorch extensions for fast R&D prototyping and Kaggle farming
Mlops
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1,427
MLOps examples
Mlbox
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1,403
MLBox is a powerful Automated Machine Learning python library.
Mlrun
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1,177
Machine Learning automation and tracking
Tods
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1,078
TODS: An Automated Time-series Outlier Detection System
Nlp With Ruby
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1,002
Curated List: Practical Natural Language Processing done in Ruby
Deepaudioclassification
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983
Finding the genre of a song with Deep Learning
Sematic
⭐
913
An open-source ML pipeline development platform
Couler
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847
Unified Interface for Constructing and Managing Workflows on different workflow engines, such as Argo Workflows, Tekton Pipelines, and Apache Airflow.
Lightautoml
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769
LAMA - automatic model creation framework
Onepanel
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699
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.
Trankit
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693
Trankit is a Light-Weight Transformer-based Python Toolkit for Multilingual Natural Language Processing
Evalml
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679
EvalML is an AutoML library written in python.
Covalent
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608
Pythonic tool for running machine-learning/high performance/quantum-computing workflows in heterogeneous environments.
Baikal
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573
A graph-based functional API for building complex scikit-learn pipelines.
Monk_object_detection
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550
A one-stop repository for low-code easily-installable object detection pipelines.
Neuraxle
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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.
Kale
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517
Kubeflow’s superfood for Data Scientists
Open Solution Home Credit
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443
Open solution to the Home Credit Default Risk challenge 🏡
Aspect Based Sentiment Analysis
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413
💭 Aspect-Based-Sentiment-Analysis: Transformer & Explainable ML (TensorFlow)
Model Card Toolkit
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381
A toolkit that streamlines and automates the generation of model cards
Cookiecutter Fastapi
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370
Cookiecutter template for FastAPI projects using: Machine Learning, Poetry, Github Actions and Pytests
Open Solution Mapping Challenge
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363
Open solution to the Mapping Challenge 🌎
Bodywork Core
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358
ML pipeline orchestration and model deployments on Kubernetes, made really easy.
Bio_embeddings
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357
Get protein embeddings from protein sequences
Katana Skipper
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332
Simple and flexible ML workflow engine
Automlpipeline.jl
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331
A package that makes it trivial to create and evaluate machine learning pipeline architectures.
Synthdet
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330
SynthDet - An end-to-end object detection pipeline using synthetic data
Neo4j Nlp
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304
NLP Capabilities in Neo4j
Gokart
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296
Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning Pipeline.
Fondant
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293
Production-ready data processing made easy and shareable
Torchx
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275
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.
Jpmml Sparkml
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265
Java library and command-line application for converting Apache Spark ML pipelines to PMML
Nimbusml
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265
Python machine learning package providing simple interoperability between ML.NET and scikit-learn components.
Feature Selection For Machine Learning
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248
Code repository for the online course Feature Selection for Machine Learning
Hydro Serving
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248
MLOps Platform
Dffml
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235
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.
Shifu
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235
An end-to-end machine learning and data mining framework on Hadoop
Morphl Community Edition
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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
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215
Forte is a flexible and powerful ML workflow builder. This is part of the CASL project: http://casl-project.ai/
Pipelinex
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212
PipelineX: Python package to build ML pipelines for experimentation with Kedro, MLflow, and more
Flambe
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204
An ML framework to accelerate research and its path to production.
Codeflare
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199
Simplifying the definition and execution, scaling and deployment of pipelines on the cloud.
Toloka Kit
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195
Toloka-Kit is a Python library for working with Toloka API.
Batchflow
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195
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.
Whylogs Java
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179
Profile and monitor your ML data pipeline end-to-end
Pureml
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174
Developer platform for production ML.
Setl
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173
A simple Spark-powered ETL framework that just works 🍺
Zenbytes
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169
A simple guide to MLOps through ZenML and its various integrations.
Mlx
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155
Machine Learning eXchange (MLX). Data and AI Assets Catalog and Execution Engine
Open Solution Toxic Comments
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151
Open solution to the Toxic Comment Classification Challenge
Emotion_dataset
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140
😄 Dataset for Emotion Classification
Atom
⭐
137
Automated Tool for Optimized Modelling
Steppy
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136
Lightweight, Python library for fast and reproducible experimentation 🔬
Pd3f
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131
🏭 PDF text extraction pipeline: self-hosted, local-first, Docker-based
Incubator Liminal
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131
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.
Mlr3pipelines
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127
Dataflow Programming for Machine Learning in R
Spokestack Python
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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.
Augmentor.jl
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123
A fast image augmentation library in Julia for machine learning.
Open Solution Salt Identification
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120
Open solution to the TGS Salt Identification Challenge
Automatic Speech Recognition
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116
🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)
Jiro Nn
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113
A Deep Learning and preprocessing framework in Rust with support for CPU and GPU.
Mlblocks
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105
A library for composing end-to-end tunable machine learning pipelines.
Pipeline
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101
Pipeline is an open source python SDK for building AI/ML workflows
Spark Nlp Models
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100
Models and Pipelines for the Spark NLP library
Datajob
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99
Build and deploy a serverless data pipeline on AWS with no effort.
Tabletransforms.jl
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98
Transforms and pipelines with tabular data in Julia
K3ai
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95
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
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93
Python library for converting Apache Spark ML pipelines to PMML
Automlops
⭐
92
Build MLOps Pipelines in Minutes
Fastdeploy
⭐
90
Deploy DL/ ML inference pipelines with minimal extra code.
Automatminer
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89
An automatic engine for predicting materials properties.
Autoalbument
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89
AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
Demos
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87
End to end MLRun demos
Inferoxy
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80
Service for quick deploying and using dockerized Computer Vision models
Pycrop Yield Prediction
⭐
80
A PyTorch Implementation of Jiaxuan You's Deep Gaussian Process for Crop Yield Prediction
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