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Self-improving agents that learn from execution feedback. LangChain integration for agents that curate their own context.

Open-source project that provides conversational AI for questions, tasks, and general assistance.

Open source container-native workflow engine for orchestrating parallel jobs on Kubernetes.

A lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

"Tips and tricks for working with Large Language Models like OpenAI's GPT-4".

Library of ML-Engineering tools for rapid prototyping and experiment management.

ML powered analytics engine for outlier/anomaly detection and root cause analysis.

Unified interface for constructing and managing workflows on different workflow engines.

Fast inference engine for Transformer models in C++.

An agentic AI software engineer. opensource.

Storage layer that brings scalable, ACID transactions to Apache Spark and other engines.

Open-source project that supports AI agents, automated workflows, orchestration, or delegated tasks.

Machine learning development environment for data science and AI/ML engineering teams.

Fast inference engine for whisper in C++ using CTranslate2.

FeatherCNN is a high performance inference engine for convolutional neural networks.

Feature engineering package with SKlearn like functionality.

Python library for automated feature engineering.

A collection of tools to work with Google Earth Engine Python API

Tool and policy library for reviewing Google Kubernetes Engine clusters against best practices

Cloud-Native LLM Routing Engine. Improve LLM app resilience and speed.

Current flagship model for agentic engineering and stronger coding workflows.

Specify what you want it to build, the AI asks for clarification, and then builds it.

Uses AI agents to complete tasks, coordinate tools or automate multi-step workflows.

ML engine that supports distributed learning on Hadoop, Spark or your laptop via APIs in R, Python, Scala, REST/JSON.