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Volg actieve open-source AI-repositories rond LLM, agents, MCP, RAG en coderen, met sterren en geverifieerde projectgegevens.
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run-llama/llama_index
LlamaIndex is an open-source Python data framework for building LLM applications with private data, offering data connectors, indexing structures, and advanced retrieval interfaces. It is complemented by LlamaParse, an enterprise platform for agentic OCR, parsing, extraction, and indexing.
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.
NVIDIA/Megatron-LM
Ongoing research training transformer models at scale
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.
PaddlePaddle/Paddle
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
NVIDIA/physicsnemo
Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods
microsoft/generative-ai-for-beginners
21 Lessons, Get Started Building with Generative AI
NVIDIA/Isaac-GR00T
NVIDIA’s robot models and reference code offer multimodal action prediction, demonstration-data adaptation, fine-tuning and deployment tooling.
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