Gpu Libraries

34 Components & Libraries

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Gpu Libraries

The Unified Machine Learning Framework

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…

An open-source, low-code machine learning library in Python

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…

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

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…

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

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…

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

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…

📊 A simple command-line utility for querying and monitoring GPU status

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:

🛠 All-in-one web-based IDE specialized for machine learning and data science.

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…

PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated Graphistry visual graph analyzer

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…

General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.

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…

Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application

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…

PyTriton is a Flask/FastAPI-like interface that simplifies Triton's deployment in Python environments.

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…

Efficient video analysis at scale

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…

Cross-platform, customizable multimedia/video processing framework. With strong GPU acceleration, heterogeneous design, multi-language support, easy to use, multi-framework compatible and high performance, the framework is ideal for transcoding, AI inference, algorithm integration, live video streaming, and more.

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 …

Data visualisation and ray tracing in Python based on OptiX 7.7 framework.

... 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…

InsightFace REST API for easy deployment of face recognition services with TensorRT in Docker.

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…

Awesome Projects in Python - Machine Learning Applications, Games, Desktop Applications all in Python :snake:

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…

A framework for high-performance medical image processing, neural network inference and visualization

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 …

Zero-copy MPI communication of JAX arrays, for turbo-charged HPC applications in Python :zap:

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

🔧 Python Random Graph Generator

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…

Distributed tensors and Machine Learning framework with GPU and MPI acceleration in Python

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 …

A highly optimised C++ library for mathematical applications and neural networks.

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 …

The deslanting algorithm sets text upright in images. Python, C++ and OpenCL implementations provided.

Python client for OmniSci GPU-accelerated SQL engine and analytics platform

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 …

A lightweight (serverless) native python parallel processing framework based on simple decorators and call graphs.

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…

A Python wrapper of NVIDIA Video Loader (NVVL) with CuPy for fast video loading with Python

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…

A Python package for identifying 42 kinds of animals, training custom models, and estimating distance from camera trap videos

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 …

System monitoring program for Raspberry pi single board computers written in Python 3.

Latest version 2.4 (12-2023) The package is also archived on github and can be manually download and installed via python and setup.py Program is a python 3 package. Run in a terminal by typing rpi_t…