Agents et multi-agents
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.
★ 51,4K⑂ 7,9KPython
MITQ98
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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.
★ 32,4K⑂ 3,5KTypeScript
NOASSERTIONQ98
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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.
★ 9,4K⑂ 784Python
Apache-2.0Q98
Agents et multi-agents
flyteorg/flyte
Flyte is an open-source orchestration framework for reliably building, scaling, and deploying machine learning pipelines, models, and agents using pure Python.
★ 7,2K⑂ 861Go
Apache-2.0Q98
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deepspeedai/deepspeed
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
★ 43K⑂ 4,9KPython
Apache-2.0Q94
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kaito-project/aikit
🏗️ Fine-tune, build, and deploy open-source LLMs easily!
★ 535⑂ 57Go
MITQ94
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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.
★ 10,6K⑂ 977Python
MITQ92
Robotique et Edge AI
NVIDIA/Isaac-GR00T
NVIDIA’s robot models and reference code offer multimodal action prediction, demonstration-data adaptation, fine-tuning and deployment tooling.
★ 8,1K⑂ 1,5KPython
Apache-2.0Q92
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tensorflow/tensorflow
A machine learning framework for building, training and deploying models.
★ 198,8K⑂ 76,2KC++
Apache-2.0Q90
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hiyouga/LlamaFactory
A unified fine-tuning toolkit for large language and vision-language models.
★ 74,6K⑂ 9,1KPython
Apache-2.0Q90
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scikit-learn/scikit-learn
A Python machine learning library for classification, regression, clustering and model evaluation.
★ 67,2K⑂ 27,4KPython
BSD-3-ClauseQ90
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keras-team/keras
A high-level API for building and training deep learning models.
★ 64,3K⑂ 19,8KPython
Apache-2.0Q90