XLA Accelerated Linear Algebra is an open source machine learning ML compiler for GPUs CPUs and ML accelerators XLA is part of the OpenXLA project an ecosystem of open source compiler technologies for ML that s developed collaboratively by leading ML hardware and software organizations

XLA Accelerated Linear Algebra is a machine learning ML compiler that optimizes linear algebra providing improvements in execution speed and memory usage This page provides a brief overview of the objectives and architecture of the XLA compiler

Introducing XLB Distributed Multi GPU Lattice Boltzmann

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OpenXLA leverages the power of MLIR to bring the best capabilities into a single compiler toolchain A next generation compiler technology focused on low overhead latency sensitive ML compilation and serving extension Modular Provides a reusable and extensible architecture built from the ground up in MLIR

Build from source OpenXLA Project

XLA Accelerated Linear Algebra is an open source compiler for machine learning The XLA compiler takes models from popular frameworks such as PyTorch TensorFlow and JAX and optimizes the models for high performance execution across different hardware platforms including GPUs CPUs and ML accelerators

OpenXLA Project

Xlbola Github

OpenXBL An Xbox Live API

XGBoost Model Evaluation Google Colab

OpenXLA Intel Extension for TensorFlow GitHub Pages

OpenXLA is available now to accelerate and simplify machine

GitHub BobaZooba xllm X LLM Cutting Edge Easy LLM

For those not in the know ExLlama is an extremely optimized GPTQ backend loader for LLaMA models It features much lower VRAM usage and much higher speeds due to not relying on unoptimized transformers code

Start accelerating your workloads with OpenXLA on GitHub Development teams across numerous industries are using ML to tackle complex real world challenges such as prediction and prevention of disease personalized learning experiences and black hole physics

ExLLama on Oobabooga for Linux WSL r LocalLLaMA Reddit

We introduce XLCoST a machine learning benchmark dataset that contains fine grained parallel data in 7 commonly used programming languages C Java Python C Javascript PHP C and natural language English The data is parallel across 7 languages at both code snippet level and program level

See the XLA GitHub and documentation for more information on how to use and integrate PJRT Join the openxla discuss mailing list to get news about releases events and other major updates This is also our primary channel for design and development discussions Join the OpenXLA Discord to participate in chats about XLA and StableHLO topics

OpenXLA Project

Retro Bowl 3kh0 GitHub Pages

We value developers and have built OpenXBL with you in mind Our GitHub profile contains starter templates and more to get your project off the ground Check it out

XLA Accelerated Linear Algebra is an open source machine learning ML compiler for GPUs CPUs and ML accelerators The XLA compiler takes models from popular ML frameworks such as PyTorch TensorFlow and JAX and optimizes them for high performance execution across different hardware platforms including GPUs CPUs and ML accelerators

XLA architecture OpenXLA Project

OpenXLA project scottamain github io

This notebook demonstrates how a pre trained XGBoost model among other gradient boosting machines e g GBDT LightGBM CatBoost can be evaluated in terms of robustness The PiML toolbox

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X LLM Cutting Edge Easy LLM Finetuning Contribute to BobaZooba xllm development by creating an account on GitHub

XLBOLA GitHub

XLA builds are configured by the bazelrc file in the repository 39 s root directory The configure py script can be used to adjust common settings If you need to change the configuration run the configure py script from the repository 39 s root directory

GitHub openxla xla A machine learning compiler for GPUs

Here we focus more on the memory optimization rather than inference speed Specifically suited for optimizing memory for decoding latents into higher res images without compromising too much on the

Releases BobaZooba xllm GitHub

Xlbola Github

It 39 s a user friendly library that streamlines training optimization so you can focus on enhancing your models and data Equipped with cutting edge training techniques X LLM is engineered for efficiency by engineers who understand your needs X LLM is ideal whether you 39 re gearing up for production or need a fast prototyping tool

GitHub idealboy openxla A machine learning compiler for

And hey if you could star the project on GitHub it would be awesome It helps me show that XLB is gaining traction and secures more time for us to devote to this project Check it out here https github com Autodesk XLB

GitHub reddy lab code research XLCoST Code and data for

Google Colab