The most powerful tool now. You can install OptiScaler and DLSS Enabler, modify upscalers, manage everything, and make your games smaller in size, all in one place.
GitHub repository with 114 stars and 1 forks.
Topics: amd, compration, dlss, dlssenabler, fsr, game, intel, nvidia, optiscaler, xess
Trending score 0.80, activity score 0.00, stars gained +6, forks gained +0.
2026-06-05: 114 stars and 1 forks.
A high-throughput and memory-efficient inference and serving engine for LLMs
GitHub repository with 82,006 stars and 17,693 forks.
Trending score: 3.75; stars gained: +79; forks gained: +46.
Language: Python
Topics: amd, blackwell, cuda, deepseek, deepseek-v3, gpt
Lightweight Armoury Crate alternative for Asus laptops with nearly the same functionality. Works with ROG Zephyrus, Flow, TUF, Strix, Scar, ProArt, Vivobook, Zenbook, Expertbook, ROG Ally, and many more.
GitHub repository with 13,525 stars and 506 forks.
Trending score: 2.75; stars gained: +52; forks gained: +2.
Language: C#
Topics: g14, mux, aura, g-helper, armoury, strix
Run LLMs on AMD Ryzen™ AI NPUs in minutes. Just like Ollama - but purpose-built and deeply optimized for the AMD NPUs.
GitHub repository with 1,429 stars and 98 forks.
Trending score: 1.04; stars gained: +1; forks gained: +0.
Language: C++
Topics: amd, deepseek, llama, llm, npu
AMD Strix Halo local LLM guide: direct 100.0 t/s 30B Qwen MoE on Ryzen AI MAX+ 395 / Radeon 8060S. Setup, benchmarks, raw evidence.
GitHub repository with 91 stars and 4 forks.
Trending score: 0.98; stars gained: +7; forks gained: +0.
Language: Python
Topics: amd, benchmark, gfx1151, inference, llama-cpp, llm
The most powerful tool now. You can install OptiScaler and DLSS Enabler, modify upscalers, manage everything, and make your games smaller in size, all in one place.
GitHub repository with 114 stars and 1 forks.
Trending score: 0.80; stars gained: +6; forks gained: +0.
Topics: amd, compration, dlss, dlssenabler, fsr, game
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
GitHub repository with 2,154 stars and 233 forks.
Trending score: 0.49; stars gained: +2; forks gained: +2.
Language: Python
Topics: agent-skills, agentic-orchestration, amd, cloud, containers, docker
A high-throughput and memory-efficient inference and serving engine for LLMs
GitHub repository with 82,006 stars and 17,693 forks.
Trending score: 3.75; stars gained: +79; forks gained: +46.
Language: Python
Topics: amd, blackwell, cuda, deepseek, deepseek-v3, gpt
Lightweight Armoury Crate alternative for Asus laptops with nearly the same functionality. Works with ROG Zephyrus, Flow, TUF, Strix, Scar, ProArt, Vivobook, Zenbook, Expertbook, ROG Ally, and many more.
GitHub repository with 13,525 stars and 506 forks.
Trending score: 2.75; stars gained: +52; forks gained: +2.
Language: C#
Topics: g14, mux, aura, g-helper, armoury, strix
Run LLMs on AMD Ryzen™ AI NPUs in minutes. Just like Ollama - but purpose-built and deeply optimized for the AMD NPUs.
GitHub repository with 1,429 stars and 98 forks.
Trending score: 1.04; stars gained: +1; forks gained: +0.
Language: C++
Topics: amd, deepseek, llama, llm, npu
AMD Strix Halo local LLM guide: direct 100.0 t/s 30B Qwen MoE on Ryzen AI MAX+ 395 / Radeon 8060S. Setup, benchmarks, raw evidence.
GitHub repository with 91 stars and 4 forks.
Trending score: 0.98; stars gained: +7; forks gained: +0.
Language: Python
Topics: amd, benchmark, gfx1151, inference, llama-cpp, llm
The most powerful tool now. You can install OptiScaler and DLSS Enabler, modify upscalers, manage everything, and make your games smaller in size, all in one place.
GitHub repository with 114 stars and 1 forks.
Trending score: 0.80; stars gained: +6; forks gained: +0.
Topics: amd, compration, dlss, dlssenabler, fsr, game
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
GitHub repository with 2,154 stars and 233 forks.
Trending score: 0.49; stars gained: +2; forks gained: +2.
Language: Python
Topics: agent-skills, agentic-orchestration, amd, cloud, containers, docker