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tensorflow
A flexible, high-performance serving system for machine learning models
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Results: 33
tensorflow
A flexible, high-performance serving system for machine learning models
alvinreal
Curated list of the best truly open-source AI projects, models, tools, and infrastructure.
huggingface
A blazing fast inference solution for text embeddings models
thunderbird
AI You Control: Choose your models. Own your data. Eliminate vendor lock-in.
MAIF
🔅 Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models
promptslab
Prompt Engineering | Prompt Versioning | Use GPT or other prompt based models to get structured output. Join our discord for Prompt-Engineering, LLMs and other latest re…
Trusted-AI
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
huggingface
🤗 Evaluate: A library for easily evaluating machine learning models and datasets.
fairlearn
A Python package to assess and improve fairness of machine learning models.
A library for training and deploying machine learning models on Amazon SageMaker
superlinked
Open-source inference server and production cluster for all the models your agent needs.
Trusted-AI
Interpretability and explainability of data and machine learning models
aws-samples
This repository contains examples for customers to get started using the Amazon Bedrock Service. This contains examples for all available foundational models
JoasASantos
NeuroSploit is an advanced, AI-powered penetration testing framework designed to automate and augment various aspects of offensive security operations. Leveraging the ca…
kellyvv
Mobile-native local AI Agent framework for iPhone with a fully offline local path, on-device models, native iOS Skills, and optional Mac Gateway inference
EmbeddedLLM
The collaborative spreadsheet for AI. Chain cells into powerful pipelines, experiment with prompts and models, and evaluate LLM responses in real-time. Work together sea…