Popular GitHub Repositories for Work Flow

Fair-code workflow automation platform with native AI capabilities. Combine visual building with custom code, self-host or cloud, 400+ integrations.

Drag & drop UI to build your customized LLM flow

Framework for orchestrating role-playing, autonomous AI agents. By fostering collaborative intelligence, CrewAI empowers agents to work together seamlessly, tackling complex tasks.

Build and share delightful machine learning apps, all in Python. ? Star to support our work!

? Papers & tech blogs by companies sharing their work on data science & machine learning in production.

SoftVC VITS Singing Voice Conversion

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

Claude-Flow v2.0.0 Alpha represents a revolutionary leap in AI-powered development orchestration. Built from the ground up with enterprise-grade architecture, advanced swarm intelligence, and seamless Claude Code integration.

FlowGram是一个基于节点的流程构建引擎，帮助开发者快速创建工作流程，支持固定布局和自由连接布局两种模式。

Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization

ECCV2022 - Real-Time Intermediate Flow Estimation for Video Frame Interpolation

Zero-Config Claude-Code Flow

TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework.

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""

Like Manus, Computer Use Agent(CUA) and Omniparser, we are computer-using agents.AI-driven local automation assistant that uses natural language to make computers work by themselves

Open-source Visual programming for backend logic that integrates with existing codebases. Flyde bridges the gap between technical and non-technical team members. Product managers, designers, and backend developers can collaborate on the same visual flows.

Awesome work on hand pose estimation/tracking

A delightful Ruby way to work with AI. No configuration madness, no complex callbacks, no handler hell – just beautiful, expressive Ruby code.

World's first AI meeting copilot → The Invisible Companion for Work + Life