Linking pages
- #034 José Valim reveals Project Nx - Thinking Elixir https://thinkingelixir.com/podcast-episodes/034-jose-valim-reveals-project-nx/ 105 comments
- Top minds in machine learning predict where AI is going in 2020 | VentureBeat https://venturebeat.com/2020/01/02/top-minds-in-machine-learning-predict-where-ai-is-going-in-2020/ 84 comments
- GitHub - llSourcell/DoctorGPT: DoctorGPT is an LLM that can pass the US Medical Licensing Exam. It works offline, it's cross-platform, & your health data stays private. https://github.com/llSourcell/DoctorGPT 75 comments
- Failing to Reach DDR4 Bandwidth by Unum https://unum.cloud/post/2022-01-29-ddr4/ 71 comments
- GitHub - 1Password/1password-teams-open-source: Get a free 1Password Teams membership for your open source project https://github.com/1Password/1password-teams-open-source 59 comments
- Elixir and Machine Learning: Nx v0.1 released! - Dashbit Blog https://dashbit.co/blog/elixir-and-machine-learning-nx-v0.1 45 comments
- GitHub - mlc-ai/web-stable-diffusion: Bringing stable diffusion models to web browsers. Everything runs inside the browser with no server support. https://github.com/mlc-ai/web-stable-diffusion 42 comments
- GitHub - monkbai/DNN-decompiler: BTD - Bin To DNN: A DNN Executables Decompiler https://github.com/monkbai/DNN-decompiler 28 comments
- GitHub - zwang4/awesome-machine-learning-in-compilers: Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation https://github.com/zwang4/awesome-machine-learning-in-compilers 25 comments
- GitHub - mgaudet/CompilerJobs: A listing of compiler, language and runtime teams for people looking for jobs in this area https://github.com/mgaudet/CompilerJobs 10 comments
- Modular: The world's fastest unified matrix multiplication https://www.modular.com/blog/the-worlds-fastest-unified-matrix-multiplication 4 comments
- Why are ML Compilers so Hard? « Pete Warden's blog https://petewarden.com/2021/12/24/why-are-ml-compilers-so-hard/ 2 comments
- GitHub - Maratyszcza/NNPACK: Acceleration package for neural networks on multi-core CPUs https://github.com/Maratyszcza/NNPACK 1 comment
- Foundation Models: The future (still) isn't happening fast enough https://www.madrona.com/foundation-models/ 1 comment
- TelaMalloc: Efficient On-Chip Memory Allocation for Production Machine Learning Accelerators https://www.micahlerner.com/2023/04/16/telamalloc-efficient-on-chip-memory-allocation-for-production-machine-learning-accelerators.html 1 comment
- LLMs Everywhere: Running 70B models in browsers and iPhones using MLC — with Tianqi Chen of CMU / OctoML https://www.latent.space/p/llms-everywhere#details 1 comment
- Lernapparat - Machine Learning https://lernapparat.de/jit-optimization-intro/ 0 comments
- Why Instill AI exists https://blog.instill.tech/why-instill-ai-exists/ 0 comments
- OctoML raises $28M Series B for its machine learning acceleration platform | TechCrunch https://techcrunch.com/2021/03/17/octoml-raises-28m-series-b-for-its-machine-learning-acceleration-platform/ 0 comments
- GitHub - merrymercy/awesome-tensor-compilers: A list of awesome compiler projects and papers for tensor computation and deep learning. https://github.com/merrymercy/awesome-tensor-compilers 0 comments
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