Popular GitHub Repositories for Governance Frameworks

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Pocket Flow Tutorial Project: Turns GitHub repo into Easy Tutorial with AI

Type-safe search params state manager for React frameworks - Like useState, but stored in the URL query string.

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

Python SDK for AI agent monitoring, LLM cost tracking, benchmarking, and more. Integrates with most LLMs and agent frameworks including OpenAI Agents SDK, CrewAI, Langchain, Autogen, AG2, and CamelAI

? AgentVerse ? is designed to facilitate the deployment of multiple LLM-based agents in various applications, which primarily provides two frameworks: task-solving and simulation

The convertor/conversion of deep learning models for different deep learning frameworks/softwares.

A curated list of tools, frameworks, and platforms to build powerful LLM applications through effective context engineering.

Open source platform for AI Engineering: OpenTelemetry-native LLM Observability, GPU Monitoring, Guardrails, Evaluations, Prompt Management, Vault, Playground. ?? Integrates with 50+ LLM Providers, VectorDBs, Agent Frameworks and GPUs.

Feathr – A scalable, unified data and AI engineering platform for enterprise

Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)

? Everything you need to create an LLM Agent—tools, prompts, frameworks, and models—all in one place.

Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.

A curated list of resources about AI agents for Computer Use, including research papers, projects, frameworks, and tools.

A community-driven collection of RAG (Retrieval-Augmented Generation) frameworks, projects, and resources. Contribute and explore the evolving RAG ecosystem.

This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

Concrete ML: Privacy Preserving ML framework using Fully Homomorphic Encryption (FHE), built on top of Concrete, with bindings to traditional ML frameworks.

Discover top AI coding tools for developers, including code editors, completion engines, and natural language converters. Enhance your workflow with AI! ?️?

Hopsworks - Data-Intensive AI platform with a Feature Store