AI Engineering Toolkit

Outils pour l'ingénierie IA : training, inference, data pipelines, deployment.

Training & Fine-tuning

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GitHub - huggingface/transformers: 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
github.comPinned

GitHub - huggingface/transformers: 🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. - huggingface/transformers

Weights & Biases
wandb.ai

Weights & Biases

Weights & Biases, developer tools for machine learning

Lightning AI | Turn ideas into AI, Lightning fast
lightning.ai

Lightning AI | Turn ideas into AI, Lightning fast

The all-in-one platform for AI development. Code together. Prototype. Train. Scale. Serve. From your browser - with zero setup. From the creators of PyTorch Lightning.

Inference & Serving

3
GitHub - vllm-project/vllm: A high-throughput and memory-efficient inference and serving engine for LLMs
github.comPinned

GitHub - vllm-project/vllm: A high-throughput and memory-efficient inference and serving engine for LLMs

A high-throughput and memory-efficient inference and serving engine for LLMs - vllm-project/vllm

Together AI | The AI Native Cloud
together.ai

Together AI | The AI Native Cloud

Build what's next on the AI Native Cloud. Full-stack AI platform for inference, fine-tuning, and GPU clusters — powered by cutting-edge research.

Replicate - Run AI with an API
replicate.com

Replicate - Run AI with an API

Run open-source machine learning models with a cloud API

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