190 skills found · Page 1 of 7
openxla / XlaA machine learning compiler for GPUs, CPUs, and ML accelerators
xmartlabs / XLActionControllerFully customizable and extensible action sheet controller written in Swift
zml / ZmlAny model. Any hardware. Zero compromise. Built with @ziglang / @openxla / MLIR / @bazelbuild
elixir-nx / NxMulti-dimensional arrays (tensors) and numerical definitions for Elixir
pytorch / XlaEnabling PyTorch on XLA Devices (e.g. Google TPU)
n2cholas / Awesome JaxJAX - A curated list of resources https://github.com/google/jax
gomlx / GomlxGoMLX: An Accelerated Machine Learning Framework For Go
okx / Xlayer DocsXLayer L2 documents
microsoft / XlangNo description available
mind / WheelsPerformance-optimized wheels for TensorFlow (SSE, AVX, FMA, XLA, MPI)
xlayers / Xlayers✨ Generate code from your design
gordicaleksa / Get Started With JAXThe purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
LuxDL / Lux.jlElegant and Performant Deep Learning
SalesforceAIResearch / XLAMxLAM: A Family of Large Action Models to Empower AI Agent Systems
felafax / FelafaxFelafax is building AI infra for non-NVIDIA GPUs
mpi4jax / Mpi4jaxZero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python :zap:
AI-Hypercomputer / JetStreamJetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs welcome).
dfm / Extending JaxExtending JAX with custom C++ and CUDA code
xlang-ai / Xlang Paper ReadingPaper collection on building and evaluating language model agents via executable language grounding
dunnolab / Xland MinigridJAX-accelerated Meta-Reinforcement Learning Environments Inspired by XLand and MiniGrid 🏎️
