397 Open source projects that are alternatives of or similar to AI-Power

a language for fast, portable data-parallel computation

The Higher-Order Intermediate Representation

Particle-in-Cell Simulations for the Exascale Era ✨

JIT Compilation for Multiple Architectures: C++, OpenMP, CUDA, HIP, OpenCL, Metal

Open3D: A Modern Library for 3D Data Processing

The purpose of this tutorial is to learn how to install and prepare TensorFlow framework to train your own convolutional neural network object detection classifier for multiple objects, starting from scratch

A straightforward GPU implementation of Jos Stam's "Stable Fluids" on Unity.

A multi-purpose GPU-accelerated open-source suite for brain data visualization

H2Oai GPU Edition

BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.

A Silent (Hidden) Monero (XMR) Miner Builder

This library apply video filter on generate an Mp4 and on ExoPlayer video and Video Recording with Camera2.

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

🌊 Fast and friendly fluid dynamics on CPUs and GPUs

Build userspace NVMe drivers and storage applications with CUDA support

This repository contains information about Cloud GPU offerings for Machine Learning practitioners.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)

Simple physically based path tracer based on Nvidia's Optix Ray Tracing Engine

ILGPU JIT Compiler for high-performance .Net GPU programs

Deep learning GUI frame work for enterprise

macOS system monitor in your menu bar

GPU Accelerated JavaScript

Dimensional charting built to work natively with crossfilter rendered using d3.js

A Simply Example to show how to use Keras model in multiple processes to do the prediction

Thin C++-flavored wrappers for the CUDA Runtime API

This repository consists for gpu bootcamp material for HPC and AI

High-level Deep Learning Framework written in Kotlin and inspired by Keras

Unoffcial NVIDIA CUDA GPU support version of Google Tensorflow for MAC OSX

Language and compiler for the Raspberry Pi GPU

GPU/CPU-based iOS Watermark Library for Image and Video Overlay

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

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

Through this configuration, no per voxel data is transferred between the GPU and the CPU at runtime.

Robotics with GPU computing

How to: Run Rust code on your NVIDIA GPU

Deep.Net machine learning framework for F#

ArrayFire: a general purpose GPU library.

Burstcoin C++ CPU and GPU Miner

Fast and flexible AutoML with learning guarantees.

The write-once-run-anywhere GPGPU library for Rust

Next-generation HTML renderer for apps and games

A high speed C++17 Vulkan game engine

GPGPU Javascript library 🐸

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

phi: gpu accelerated code-editor; definitely not to be confused phonetically with vi.

The Triton Inference Server provides an optimized cloud and edge inferencing solution.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

🔊 Audio and fastai v2

NVIDIA GPUs htop like monitoring tool

Modified nVidia .inf files to run drivers on all video cards, research & telemetry free drivers

Parallax scrolling either by offset or automatically.

A framework for quantum computing with hardware acceleration.

An efficient C++17 GPU numerical computing library with Python-like syntax

continuous energy monte carlo neutron transport in general geometries on GPUs

Efficient training of deep recommenders on cloud.

DirectX 11 Renderer written in C++11

Scientific computing with N-dimensional arrays

⚡ Useful scripts when using TensorRT

Running Mask-RCNN on Dask with PyTorch