ToolAI.io · Canale GitHub

Directory di progetti AI su GitHub

Esplora la directory completa di ToolAI dei progetti AI open source su GitHub, organizzata per argomento, linguaggio e licenza.

Dati del repository pubblico

Indice del progetto

20 Progetti
Screenshot di LlamaIndex
Agenti e multi-agente

LlamaIndex

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
Fine-tuning, addestramento e dati

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
Fine-tuning, addestramento e dati

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
Screenshot di Flyte 2: Dynamic, Resilient AI Orchestration
Agenti e multi-agente

Flyte 2: Dynamic, Resilient AI Orchestration

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
Fine-tuning, addestramento e dati

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
Fine-tuning, addestramento e dati

aikit

kaito-project/aikit

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

★ 535⑂ 57Go
MITQ94
Fine-tuning, addestramento e dati

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
Robotica e Edge AI

Isaac GR00T: vision-language-action models for robotics

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
Fine-tuning, addestramento e dati

tensorflow

tensorflow/tensorflow

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

★ 198,8K⑂ 76,2KC++
Apache-2.0Q90
Fine-tuning, addestramento e dati

LlamaFactory

hiyouga/LlamaFactory

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

★ 74,6K⑂ 9,1KPython
Apache-2.0Q90
Fine-tuning, addestramento e dati

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
Fine-tuning, addestramento e dati

keras

keras-team/keras

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

★ 64,3K⑂ 19,8KPython
Apache-2.0Q90

Pagina 1 / 2 · 20 progetti

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