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Дообучение, обучение и данные · AI-проекты с открытым исходным кодом на GitHub

Фактический каталог проектов по разработке LLM, агентов, MCP, RAG и AI с информацией о лицензии, настройке, скачивании, скриншотами и связанными ресурсами для каждой записи.

Данные публичного репозитория

Индекс проекта

17 Проекты
Дообучение, обучение и данные

Langfuse

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
Дообучение, обучение и данные

Oumi: Open-Source Foundation Model Training, Evaluation, Inference, and Deployment

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
Дообучение, обучение и данные

DeepSpeed

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
Дообучение, обучение и данные

aikit

kaito-project/aikit

🏗️ Fine-tune, build, and deploy open-source LLMs easily!

★ 535⑂ 57Go
MITQ94
Дообучение, обучение и данные

Hydra: Managing Training Configurations, Parameter Combinations, and Experiment Runs

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
Дообучение, обучение и данные

tensorflow

tensorflow/tensorflow

A machine learning framework for building, training and deploying models.

★ 198,8K⑂ 76,2KC++
Apache-2.0Q90
Дообучение, обучение и данные

LlamaFactory

hiyouga/LlamaFactory

A unified fine-tuning toolkit for large language and vision-language models.

★ 74,6K⑂ 9,1KPython
Apache-2.0Q90
Дообучение, обучение и данные

scikit-learn

scikit-learn/scikit-learn

A Python machine learning library for classification, regression, clustering and model evaluation.

★ 67,2K⑂ 27,4KPython
BSD-3-ClauseQ90
Дообучение, обучение и данные

keras

keras-team/keras

A high-level API for building and training deep learning models.

★ 64,3K⑂ 19,8KPython
Apache-2.0Q90
Дообучение, обучение и данные

ColossalAI

hpcaitech/ColossalAI

Distributed training and inference tools for parallelism and memory management in large-model workloads.

★ 41,4K⑂ 4,5KPython
Apache-2.0Q90
Дообучение, обучение и данные

pytorch-lightning

Lightning-AI/pytorch-lightning

Organize PyTorch training with reusable loops, checkpoints, logging, and device strategies.

★ 31,3K⑂ 3,8KPython
Apache-2.0Q90
Дообучение, обучение и данные

generative-ai-for-beginners

microsoft/generative-ai-for-beginners

21 Lessons, Get Started Building with Generative AI

★ 113,5K⑂ 60,9KJupyter Notebook
MITQ89

Страница 1 / 2 · 17 проектов

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