Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.
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Dec 18, 2023 - Java
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Easy Machine Learning is a general-purpose dataflow-based system for easing the process of applying machine learning algorithms to real world tasks.
machine-learning learning-platform big-data-analytics machine-learning-studio machine-learning-platform
A high-performance ML model serving framework, offers dynamic batching and CPU/GPU pipelines to fully exploit your compute machine
python rust machine-learning deep-learning mxnet tensorflow gpu cv pytorch tts hacktoberfest model-serving nerual-network machine-learning-platform jax mlops llm llm-serving
A Collection of GitHub Actions That Facilitate MLOps
kubernetes devops data-science machine-learning argo ml-infrastructure machine-learning-platform mlops ml-ops
Examples of Machine Learning code using Comet.ml
python machine-learning deep-learning deep-learning-algorithms machine-learning-platform comet-ml deep-learning-python deep-learning-libraries
Beimingwu is the first systematic open-source implementation of the learnware dock system, providing a preliminary research platform for learnware studies and enabling effective learnware search and reuse without building machine learning models from scratch.
Based on the learnware paradigm, the learnware package supports the entire process including the submission, usability testing, organization, identification, deployment, and reuse of learnwares. Simultaneously, this repository serves as Beimingwu's engine, supporting its core functionalities.
A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data 🚀
data-science machine-learning deep-learning datascience dataops data-management data-cleaning model-management concept-drift data-quality aiops machine-learning-platform data-monitoring mlops model-monitoring model-performance data-drift model-explainability model-drift
Comet-For-MLFlow Extension
datascience machinelearning machine-learning-platform comet-ml data-science-python mlflow data-science-machine-learning ml-flow-github mlflow-python mlflow-databricks
A curated list of awesome open source tools and commercial products that will help you manage machine learning and data-science workflows and pipelines 🚀
workflow data-science machine-learning awesome deep-learning pipelines datascience dataops awesome-list data-management model-management aiops machine-learning-platform machine-learning-projects machine-learning-training mlops ml-pipeline
big data processing and machine learning platform,just like useing sql
Distributed Machine Learning Studio
Open-Source Machine Learning Platform
aws machine-learning machine-learning-platform sagemaker aws-sagemaker continuous-training ml-platform cd4ml open-source-ml-platform
A curated list of awesome open source tools and commercial products for autoML hyperparameter tuning 🚀
kubernetes data-science machine-learning pipelines orchestration feature-selection datascience feature-extraction hyperparameter-optimization feature-engineering hyperparameter-tuning model-management automl model-training machine-learning-platform machine-learning-training mlops model-optimization
Enterprise digital laboratory for machine learning that organizes the full ML development lifecycle in a managed, reproducible form within a single operational context with common execution, security, and audit rules.
go kubernetes machine-learning helm postgresql openapi rbac oidc audit-log data-versioning machine-learning-platform data-lineage open-core mlops model-registry experiment-tracking supply-chain-security reproducible-ml deterministic-ml animus-datalab
A Proof of Concept for Operationalizing Scientific Methods with Machine Learning Platforms
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