Open deep learning compiler stack for cpu, gpu and specialized accelerators
Simple, scalable AI model deployment on GPU clusters
Run larger LLMs with longer contexts on Apple Silicon by using differentiated precision for KV cache quantization. KVSplit enables 8-bit keys & 4-bit values, reducing memory by 59% with <1% quality loss. Includes benchmarking, visualization, and one-command setup. Optimized for M1/M2/M3 Macs with Metal support.
Cross platform shader system for HLSL, GLSL, Metal and SPIR-V.
Stable Diffusion for Intel and Silicon Mac's. Forked from @divamgupta's work
a small, virtual setup to locally run the metal-stack
OpenLava is an open-source implementation of the Lava media format, originally created by Airbnb
🤘 CLI for getting lyrics from metal-archives.com
Canopy is a machine learning learning compiler stack with the capability of adopting high-end FPGAs. As a part of OpenAIOS project, Canopy is an evolved version of Apache TVM. Canopy is able to support a variety of hardware backends such as PCIE-based cloud FPGAs, CPUs and GPUs.
Deep transfer learning of additive manufacturing mechanisms across materials in metal-based laser powder bed fusion process
Meta Metal Mapper is a Python3 program to crawl Encyclopaedia Metallum: The Metal Archives (M-A) and analyze its data.
A simple chat app with embeddings and vector database, exclusively for local execution on mac/apple silicon.
Reloads images from disk and updates color space + alpha mode settings based on file naming patterns.
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