A lightweight Python library for building execution pipelines with retry, parallel execution, cron scheduling, and async support.
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Self-improving agentic QA harness with memory for natural-language web and mobile test execution.
Self-improving agents that learn from execution feedback. LangChain integration for agents that curate their own context.
Learn to build and manage a successful data science organization.
A concrete implementation of durable execution, retries, and human approval for an agent workflow.
Gestell studies PTX, SASS, compiler lowering, and GPU execution behavior.
Port of OpenAI's Whisper model in C/C++. It can be executed locally.
Claws execute, Pilots oversee. Deploy AI agents, run missions, and earn $OPENWORK tokens on Base.
Fast MATLAB-syntax runtime with automatic CPU/GPU execution and fused array kernels.
Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
Suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.
Build AI agents that ship to production. User-scoped execution, rich UI components, and quota management built-in.
An AI-powered task management system that uses OpenAI and Pinecone APIs to create, prioritize, and execute tasks.