ToolAI.io · Canal do GitHub
Um índice baseado em fatos de projetos de desenvolvimento de LLM, agentes, MCP, RAG e AI, com licença, configuração, download, capturas de tela e recursos relacionados para cada item.
Dados do repositório público
langfuse/langfuse
An open-source LLM engineering platform for tracing, evaluating, debugging, and improving AI applications, with prompt management, datasets, metrics, a playground, APIs, and managed or self-hosted deployment options.
oumi-ai/oumi
Oumi is a Python-based platform for preparing data, training and fine-tuning open-weight foundation models, evaluating results, running inference, and deploying models. It provides configuration recipes and a consistent CLI for local, cluster, and cloud workflows.
deepspeedai/deepspeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
kaito-project/aikit
🏗️ Fine-tune, build, and deploy open-source LLMs easily!
hydra-ecosystem/hydra
A configuration framework for Python applications that manages experiments through configuration composition, command-line overrides, and multirun execution. It is suitable for organizing data, model, and training parameters into reusable configuration structures.
tensorflow/tensorflow
A machine learning framework for building, training and deploying models.
hiyouga/LlamaFactory
A unified fine-tuning toolkit for large language and vision-language models.
scikit-learn/scikit-learn
A Python machine learning library for classification, regression, clustering and model evaluation.
keras-team/keras
A high-level API for building and training deep learning models.
hpcaitech/ColossalAI
Distributed training and inference tools for parallelism and memory management in large-model workloads.
Lightning-AI/pytorch-lightning
Organize PyTorch training with reusable loops, checkpoints, logging, and device strategies.
microsoft/generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI
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