Stable Diffusion with Core ML on Apple Silicon
The Unified Machine Learning Framework
ROCm's great for data centers, but good luck finding anything about desktop GPUs on their site apart from this lone blog post: https://community.amd.com/t5/instinct-accelerators/exploring...
There's a good explanation of AMD's ROCm targets here: https://news.ycombinator.com/item?id=28200477
It's currently a PITA to get common Python libs like Numba to even talk to AMD cards (admittedly Numba won't talk to older Nvidia cards either and they deprecate ruthlessly; I had to downgrade 8 versions to get it working with a 5yo mobile workstation). YC-backed Ivy claims to be working on unifying ML frameworks in a hardware-agnostic way but I don't have enough experience to assess how well they're succeeding yet: https://lets-unify.ai
I was happy to see DiffusionBee does talk the GPU in my late-model intel Mac, though for some reason it only uses 50% of its power right now. I'm sure the situation will improve as Metal 3.0 and Vulkan get more established.
Write Clean Python Code. Always.. Sonar helps you commit clean code every time. With over 225 unique rules to find Python bugs, code smells & vulnerabilities, Sonar finds the issues while you focus on the work.
DL Frameworks in a nutshell
1 project | reddit.com/r/DataScienceMemes | 10 Sep 2022
Unified Machine Learning
1 project | news.ycombinator.com | 26 Aug 2022
[Discussion] Opinions on unify AI
2 projects | reddit.com/r/deeplearning | 25 Jul 2022
[D] opinions on Unify AI
1 project | reddit.com/r/MachineLearning | 25 Jul 2022
Let's Unify AI
1 project | news.ycombinator.com | 28 Jun 2022