1231 Open source projects that are alternatives of or similar to Cupy

eXpression differentiation in Julia

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

Lightweight Cuda Renderer with Python Wrapper.

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

Python related technologies used in work: crawler, data analysis, timing tasks, RPC, page parsing, decorator, built-in functions, Python objects, multi-threading, multi-process, asynchronous, redis, mongodb, mysql, openstack, etc.

No description or website provided.

GA-Net: Guided Aggregation Net for End-to-end Stereo Matching

JetScan : GPU accelerated portable RGB-D reconstruction system

NVIDIA GPUs htop like monitoring tool

ampscan is an open-source Python package for analysis and visualisation of digitised surface scan data, specifically for applications within Prosthetics and Orthotics (P&O), with an aim to improve evidence-based clinical practice towards improved patient outcomes.

The goal of this library is to generate more helpful exception messages for numpy/pytorch matrix algebra expressions.

CUDA Voxelizer to convert polygon meshes into annotated voxel grids

A Julia package for n-dimensional sparse tensors.

iOS 弹幕库 OCBarrage, 同时渲染5000条弹幕也不卡, 轻量, 可拓展, 高度自定义动画, 超高性能, 简单易上手; A barrage render-engine with high performance for iOS. At the same time, rendering 5000 barrages is also very smooth, lightweight, scalable, highly custom animation, ultra high performance, simple and easy to use!

GPU Raytracer from scratch in C++/CUDA

CUDA bindings for Ruby

C++ library for solving large sparse linear systems with algebraic multigrid method

Let's jump into CUDA development with Rust

The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"

Source code of PyGAD, a Python 3 library for building the genetic algorithm and training machine learning algorithms (Keras & PyTorch).

An implementation of the Fourier Transform using Python

The FFmpeg build script provides an easy way to build a static FFmpeg on OSX and Linux with non-free codecs included.

GPU-accelerated N-Body particle simulator with visualizer.

This is a monocular dense mapping system corresponding to IROS 2018 "Quadtree-accelerated Real-time Monocular Dense Mapping"

A library for performing hyperparameter optimization

Several simple examples for popular neural network toolkits calling custom CUDA operators.

A list of awesome compiler projects and papers for tensor computation and deep learning.

Quake 3 map viewer in Haskell using LambdaCube 3D

Add built-in support for quaternions to numpy

⟨Leibniz-Grassmann-Clifford⟩ differential geometric algebra / multivector simplicial complex

Code accompanying my blog post on k-means in Python, C++ and CUDA

Python Tutorials for Data Science

Official pytorch Code for CVPR2019 paper "Fast Human Pose Estimation" https://arxiv.org/abs/1811.05419

Decodes VOR signal from WAV file to get the bearing to your position

Easy SimAuto (ESA): An easy-to-use Power System Analysis Automation Environment atop PowerWorld Simulator Automation Server (SimAuto)

The RWTH extensible training framework for universal recurrent neural networks

Lectures in Big Data Institute, Seoul National University

A simplified implemention of Faster R-CNN that replicate performance from origin paper

Load embeddings and featurize your sentences.

Building Convolutional Neural Networks From Scratch using NumPy

A UNIVERSAL MUSIC TRANSLATION NETWORK - a method for translating music across musical instruments and styles.

Functions that create PNG and animated PNG files from numpy arrays.

Read numpy .npy files in JavaScript

Extreme Learning Machine implemented in Pytorch

A FORTRAN module to write Numpy's *.npy and *.npz files

Thinking in tensors, writing in PyTorch (a hands-on deep learning intro)

An ultra-fast, GPU-based large graph embedding algorithm utilizing a novel coarsening algorithm requiring not more than a single GPU.

Functions and classes for gradient-based robot motion planning, written in Ivy.

This repository helps you understand python from the scratch.

Deep learning library in python from scratch

A Julia package to perform Bifurcation Analysis

Library for specialized dense and sparse matrix operations, and deep learning primitives.

Neurokernel Project

Sensitivity Analysis Library in Python (Numpy). Contains Sobol, Morris, Fractional Factorial and FAST methods.

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

A Python library for common tasks on 3D point clouds

🚀 TensorFlow running with RenderScript on Android GPU

Open Data Cube analyses continental scale Earth Observation data through time

An OpenGL Image Processing Library (in C++/GLSL).

64bit multithreaded python data analytics tools for numpy arrays and datasets