1542 Open source projects that are alternatives of or similar to Cudf

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

SDK for GPU accelerated genome assembly and analysis

cuML - RAPIDS Machine Learning Library

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

Data visualisation in Python based on OptiX 7.2 ray tracing framework.

Implementation of SYCL for CPUs, AMD GPUs, NVIDIA GPUs

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

No description or website provided.

Achieve peak performance on x86 CPUs and NVIDIA GPUs

monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture

ILGPU JIT Compiler for high-performance .Net GPU programs

Automatic parallelization of Python/NumPy, C, and C++ codes on Linux and MacOSX

OmniSciDB (formerly MapD Core)

Squeeze-and-Excitation Networks

Robotics with GPU computing

This is the final project for the Udacity Machine Learning Nanodegree: Predicting article retweets and likes based on the title using Machine Learning

This repository contains notes and projects of Data scientist track from dataquest course work.

A stream processing framework for high-throughput applications.

FLAME GPU 2 is a GPU accelerated agent based modelling framework for C++ and Python

an implementation of parallel linear BVH (LBVH) on GPU

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

CUDA programming in Julia.

An Introduction to Programming in Python

[内测中]前向式Python环境快捷封装工具，快速将Python打包为EXE并添加CUDA、NoAVX等支持。

Dockerfiles for OpenCV compiled with CUDA, opencv_contrib modules and Python 3 bindings

Script to remotely check GPU servers for free GPUs

A simple GPU hash table implemented in CUDA using lock free techniques

Set up CUDA for machine learning (and gaming) on macOS using a NVIDIA eGPU

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

Build and run Docker containers leveraging NVIDIA GPUs

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

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

Association Rule Mining from Spatial Data for Crime Analysis

Examples of C# code compiled to GPU by hybridizer

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

NOTE: skutil is now deprecated. See its sister project: https://github.com/tgsmith61591/skoot. Original description: A set of scikit-learn and h2o extension classes (as well as caret classes for python). See more here: https://tgsmith61591.github.io/skutil

Base container for developing C++ and Fortran HPC applications

A fast Clojure Tensor & Deep Learning library

BriefMatch real-time GPU optical flow

This repository consists for gpu bootcamp material for HPC and AI

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

ArrayFire: a general purpose GPU library.

continuous energy monte carlo neutron transport in general geometries on GPUs

Implementation of Macklin, Miles, and Matthias Müller. "Position based fluids.". Visual Studio 2015 + CUDA 8.0

High-performance Bayesian Data Analysis on the GPU in Clojure

Archlinux PKGBUILDs for Data Science, Machine Learning, Deep Learning, NLP and Computer Vision

A domain-specific language and compiler for image processing

Lightning fast & tiny C++/CUDA neural network framework

High-Performance Multiple-Backend Renderer Based on LuisaCompute

GPU Fluid Simulation with Volumetric Rendering

This is a list of useful libraries and resources for CUDA development.

Simple utilities to enable code reuse and portability between CUDA C/C++ and standard C/C++.

A collection of GICP-based fast point cloud registration algorithms

gprMax is open source software that simulates electromagnetic wave propagation using the Finite-Difference Time-Domain (FDTD) method for numerical modelling of Ground Penetrating Radar (GPR)

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

gmonitor is a GPU monitor (Nvidia only at the moment)

Build userspace NVMe drivers and storage applications with CUDA support

Fork of CUDA GPU memtest 👓

PopSift is an implementation of the SIFT algorithm in CUDA.

The C++ parallel algorithms library.