evidently

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

ml-engineering

Machine Learning Engineering Open Book

txtai

💡 All-in-one open-source AI framework for semantic search, LLM orchestration and language model workflows

Viper

Adversary simulation and Red teaming platform with AI

datasets

🤗 The largest hub of ready-to-use datasets for AI models with fast, easy-to-use and efficient data manipulation tools

Torch-Pruning

[CVPR 2023] DepGraph: Towards Any Structural Pruning; LLMs, Vision Foundation Models, etc.

md

✍ WeChat Markdown Editor | 一款高度简洁的微信 Markdown 编辑器：支持 Markdown 语法、自定义主题样式、内容管理、多图床、AI 助手等特性

haystack

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

flyte

Scalable and flexible workflow orchestration platform that seamlessly unifies data, ML and analytics stacks.

metaflow

Build, Manage and Deploy AI/ML Systems

milvus

Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search

deeplake

Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai