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Open-source deep-learning framework for building, training and deploying neural networks on GPUs and CPUs.

End-to-end open-source machine-learning platform for building, training and deploying models across desktop, mobile, web and cloud.

Open-source Python library from Hugging Face that supplies thousands of pretrained transformer models and utilities for text, vision, audio and multimodal tasks.

High-level, multi-backend deep-learning API for building, training and deploying neural-network models.

Lightweight PyTorch wrapper that separates research code from engineering, enabling fast, scalable and reproducible deep-learning workflows.

JAX is a high-performance Python library that brings just-in-time compilation, automatic differentiation and easy parallelism to NumPy-style array programming.

Open-source deep-learning optimisation library from Microsoft that scales PyTorch training and inference to trillions of parameters with maximum efficiency.

LightGBM is an open-source gradient-boosting framework that delivers fast, memory-efficient tree-based learning for classification, regression and ranking tasks.

Open-source, node-based workflow-automation platform for designing and running complex integrations and AI-powered flows.

Open-source framework that provides composable building blocks to create, orchestrate and monitor LLM-powered applications and agents.

Data framework that connects large-language models to private or enterprise data via indexing, retrieval and agent orchestration.

Memory layer that lets AI agents remember users and context across sessions.