Here to show my experience about playing with ROCm with runable code, step-by-step tutorial to help you reproduce what I have did. If you have iGPU or dGPU of AMD, you may try Machine Learning with them.
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RAG_LLM_QnA_Assistant, Step-by-step tutorial repo project to setup RAG Apps with ROCm
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Ask4ROCm_Chatbot, An chatbot app drive by RAG solution.
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LLM_Voice_Assistant , Use STT/TTS model from Picovoice.
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Easy-Wav2Lip-ROCm, Easy run Wav2Lip with ROCm over AMD GPU. Way2Lip is a project of Generalized Lip Sync Models
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Run EchoMimic with ROCm EchoMimic: Lifelike Audio-Driven Portrait Animations through Editable Landmark Conditioning
These projects may not offical announce to support ROCm GPU. But it work fine base on my verificaion.
| Name | URL | Category | Hands on |
|---|---|---|---|
| EchoMimic | https://github.com/BadToBest/EchoMimic | Digital Human GenAI | Run EchoMimic with ROCm |
| Easy-Wav2Lip | https://github.com/anothermartz/Easy-Wav2Lip | Digital Human GenAI | Easy-Wav2Lip-ROCm |
| Moshi | https://github.com/kyutai-labs/moshi | Conversation AI | |
| mini-omni | https://github.com/gpt-omni/mini-omni | Conversation AI | |
| mini-omni2 | https://github.com/gpt-omni/mini-omni2 | Conversation AI | |
| Picovoice/orca | https://github.com/Picovoice/orca | Conversation AI | LLM_Voice_Assistant |
@misc{ Playing with ROCm,
author = {He Ye (Alex)},
title = {Playing with ROCm: share my experience and practice},
howpublished = {\url{https://alexhegit.github.io/}},
year = {2024--}
}