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Fine-tuning & Reinforcement Learning for LLMs. 🦥 Train OpenAI gpt-oss, DeepSeek-R1, Qwen3, Gemma 3, TTS 2x faster with 70% less VRAM.
General purpose metrics adapter for Kubernetes HPA metrics
[Survey] A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
AgentScope: Agent-Oriented Programming for Building LLM Applications
AgentFlow: In-the-Flow Agentic System Optimization
verl: Volcano Engine Reinforcement Learning for LLMs
The absolute trainer to light up AI agents.
A Model Context Protocol (MCP) server for Gmail integration in Claude Desktop with auto authentication support. This server enables AI assistants to manage Gmail through natural language interactions.
Community-contributed instructions, prompts, and configurations to help you make the most of GitHub Copilot.
The official Python SDK for Model Context Protocol servers and clients
Implementation of the Leiden algorithm for various quality functions to be used with igraph in Python.
An open access book on scientific visualization using python and matplotlib
Real-Time Bidding by Reinforcement Learning in Display Advertising
Always know what to expect from your data.
Kedro is a toolbox for production-ready data science. It uses software engineering best practices to help you create data engineering and data science pipelines that are reproducible, maintainable,…
Lista de empresas com trabalho remoto no Brasil
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
All Algorithms implemented in Python
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
RL-Bakery makes it easy to build production, large scale, batch Deep Reinforcement Learning applications.
A library for training and deploying machine learning models on Amazon SageMaker
Causal Inference for the Brave and True. A light-hearted yet rigorous approach to learning about impact estimation and causality.
Python implementations of the Boruta all-relevant feature selection method.
scikit-learn: machine learning in Python
A collection of work related to COVID-19