scikit-learn
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Open-source Python library for classical machine learning algorithms with consistent API and extensive documentation.
Free planModel TrainingData Analysis
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Cerebras
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AI computing platform with specialized processors for large-scale machine learning.
Ultra low latency AI inferenceOpenai API compatibilityCloud and on premise deployment options - 3Machine Learning Platforms
BentoML
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BentoML is an open-source platform for serving, managing, and deploying machine learning models at scale with unified serving runtime and multi-model inference.
Model serving and deploymentLlm inference optimizationIntelligent auto scaling - 4Machine Learning Platforms
AI Fairness 360
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IBM open-source toolkit for examining, reporting, and mitigating discrimination in machine learning models.
Bias detection and quantificationBias mitigation algorithmsMulti language support - 5Machine Learning Platforms
DeepSpeed
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Microsoft deep learning optimization library for large-scale training and inference.
Multi accelerator supportFramework integrationInference optimization - 6Machine Learning Platforms
Inferless
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Serverless ML model deployment platform with fast scaling for custom inference at production scale.
Serverless gpu inferenceMultiple gpu optionsDynamic batchingPriceUsage-based
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FloydHub
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Cloud platform for deep learning providing managed GPU environments, experiment tracking, and model deployment.
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Predibase
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Declarative ML platform for fine-tuning and serving open-source language models with efficiency optimizations.
Free trialPriceUsage-based
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PyTorch
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Open-source deep learning framework by Meta with dynamic computation graphs and strong research community.
Free planFree trialModel DeploymentGPU Model Training - 10Machine Learning Platforms
Monolith
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AI platform for engineers using self-learning models to accelerate product development.
Self learning model development from test dataData visualization and dashboard creationMulti physics model training and validation
