# Developer Tools

Intel provides a range of developer tools which cover a wide range of topics from heterogeneous computing to deep learning optimization, to help you build and optimize Humanoid Toolkit models and workflows.

For Humanoid workflows, complete the [platform getting-started guide](../../../platform_foundation/getting_started.md) before installing these tools.

Please get more information in the following sections:

- [Intel® OpenVINO™](openvino.md) is an open-source toolkit for optimizing and deploying deep learning models.
- [Intel® Extension for PyTorch*](ipex.md) is a library that extends PyTorch* with the latest performance optimizations for Intel hardware.
- [Intel® LLM Library for PyTorch*](ipex-llm.md) is an LLM optimization library which accelerates local LLM inference and fine-tuning on Intel hardware.
- [Intel® oneAPI](oneapi.md) is a unified programming model that enables developers to write code that can be executed on a variety of hardware accelerators.
- [Intel® Extension for OpenXLA*](iopenxla.md) is an extension for OpenXLA* that provides seamless run of JAX models on Intel GPU.

Also, you can find some advice for arranging heterogeneous computing through different workloads in the following section:

- [Heterogeneous Computing](../../../resources/heterogeneous_computing.md)

Some of the models used in Humanoid Toolkit solutions are enabled on Intel platforms; see the following tutorials:

- [OpenVINO Model Guidance](../openvino/models/index.md)


:::{toctree}
:hidden:
:maxdepth: 1

openvino
ipex
ipex-llm
oneapi
iopenxla

:::