Gpu Libraries

Ivy is both an ML transpiler and a framework, currently supporting JAX, TensorFlow, PyTorch and Numpy. Ivy's transpiler allows you to use code from any other framework (or from any other version of t…

PyCaret is an open-source, low-code machine learning library in Python that automates machine learning workflows. It is an end-to-end machine learning and model management tool that speeds up the ex…

An open-source python library built to empower developers to build applications and systems with self-contained Deep Learning and Computer Vision capabilities using simple and few lines of code. We t…

Install CatBoost by following the guide for the Next you may want to investigate: If you cannot open documentation in your browser try adding yastatic.net and yastat.net to the list of allowed domain…

GitHub GitHub issues -- file bug reports / track issues here Stack Overflow -- ask all code/software questions here Cross Validated (Stack Exchange) -- ask algorithm/theory questions here h2ostream G…

NOTE: This works with NVIDIA Graphics Devices only, no AMD support as of now. Contributions are welcome! To install the latest version (master branch) via pip:

The ML workspace is an all-in-one web-based IDE specialized for machine learning and data science. It is simple to deploy and gets you started within minutes to productively built ML solutions on you…

Graphistry gets used on problems like visually mapping the behavior of devices and users, investigating fraud, analyzing machine learning results, and starting in graph AI. It provides point-and-clic…

Below you can find a GPU multiplication example using the C++ and Python Kompute interfaces. You are able to try out the interactive Colab Notebooks which allow you to use a free GPU. The available e…

With Intel(R) Extension for Scikit-learn, you can: To install Intel(R) Extension for Scikit-learn, run: The software acceleration is achieved through patching. It means, replacing the stock scikit-le…

The distinct capabilities of PyTriton are summarized in the feature matrix: Before proceeding with the installation of PyTriton, ensure your system meets the following criteria: After the inference i…

Scanner is a system for developing applications that efficiently process large video datasets. Please submit a pull-request rebased against the most recent version of the master branch and we will re…

Here are some key features of BMF: This demo describes step-by-step how to use BMF to develop a transcoding program, including video transcoding, audio transcoding, and image transcoding. In it, you …

... but PlotOptiX is much faster on large data, and, with all the raytraced shades and DoF, more readable and eye catching. You can quickly display data in a simple plot: or prepare complex scenes, c…

This repository aims to provide convenient, easy deployable and scalable REST API for InsightFace face detection and recognition pipeline using FastAPI for serving and NVIDIA TensorRT for optimized i…

This repository contains a curated list of some of the awesome small projects made in Python that you can code away this summer. It includes analysis of different Python modules, a deep analysis of t…

FAST is an open-source framework with the main goal of making it easier to do high-performance processing, neural network inference, and visualization of medical images utilizing multi-core CPUs and …

If you use pip and don't have JAX installed already, you will also need to do: Running this script on 4 processes gives:

Pyrgg will likely run on a modern dual core PC. Typical configuration is: Note that it may run on lower end equipment though good performance is not guaranteed. Graph Line(.gl) GDF(.gdf) You can also…

Heat is a distributed tensor framework for high performance data analytics. With Heat you can: If you need a functionality that is not yet supported: It should print something like this: In order to …

If your gpu doesn't support vulkan, you can use Waifu2x-converter, which is also intergrated into the Waifu2x-Extension. waifu2x-ncnn-vulkan version Nov 4, 2019 Anime4K Java v0.9 Beta ffmpeg version …

An audio module for fastai v2. We want to help you build audio machine learning applications while minimizing the need for audio domain expertise. Install using pip: We are looking for contributors o…

LibRapid is an extremely fast, highly-optimised and easy-to-use C++ library for mathematics, linear algebra and more, with an extremely powerful multidimensional array class at it's core. Every part …

Existing scripts should be migrated to pyomnisci from pymapd, this library will not be updated moving forward. Packages are available on conda-forge and PyPI: We recommend creating a fresh conda 3.7 …

With Entangle you can run simple, hardware parallelized code with conditional logic that looks like this. or train two AI models in parallel using tensorflow container utilizing dedicated CPU and GPU…

Please choose a right package depending on your CUDA version. Note that cropping is performed after scaling. In the above example, NVVL performs scaling up from 256 x 256 to 512 x 512 first, then cro…

First, make sure you have the prerequisites installed: Then run: We would love your contributions of code fixes, new models, additional training data, docs revisions, and anything else you can bring …