216 Open source projects that are alternatives of or similar to Metalresize

An elegant and flexible tweening library for iOS and tvOS.

Metal-backed 360° panorama view for iOS

Advanced Natural Motion Animations, Simple Blocks Based Syntax

GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to adress parameter and model uncertainties.

minimal macOS Metal application

A high performance Swift library for GPU-accelerated image/video processing based on Metal.

TOFlow: Video Enhancement with Task-Oriented Flow

A GPU accelerated image and video processing framework built on Metal.

Waifu2x-ios port to macOS, still in Core ML and Metal

A modern C++ tweening library

Kriging Toolkit for Python

Multidimensional B-Spline Interpolation of Data on a Regular Grid

The blazing fast lightweight internationalization (i18n) module for javascript

The iOS and OS X neural network framework

WENO interpolation Object Oriented Fortran library

Computational Geometry Unity library with implementations of intersection algorithms, triangulations like delaunay, voronoi diagrams, polygon clipping, bezier curves, ear clipping, convex hulls, mesh simplification, etc

C++ game engine for Windows, macOS, Linux, iOS, tvOS, Android, and web browsers

Cross platform 2D and 3D game engine in C++.

Photo Assessment using Core ML and Metal.

Processing and interpolating spatial data with a twist of machine learning

[maintenance mode] A low-overhead Vulkan-like GPU API for Rust.

High-Performance Multiple-Backend Renderer Based on LuisaCompute

Basic tutorial for ESMPy Python package

Numerical Methods (NM) for BE Electrical II Year / II Part, Email: [email protected]

🌀 React library to safely render HTML, filter attributes, autowrap text with matchers, render emoji characters, and much more.

Small C game development framework

📝Interpolate Google Docs files using mustaches and formatters

React Move | Beautiful, data-driven animations for React

Cross-platform 2D Game Engine in pure Swift

An interpolation framework for Cocoa and Cocoa Touch.

A powerful, elegant, and modular animation library for Swift.

Toy path tracer for my own learning purposes (CPU/GPU, C++/C#, Win/Mac/Wasm, DX11/Metal, also Unity)

Simple calculation to render cheap water effects.

A proxy for MetalPerformanceShaders which takes to a stub on a simulator and to the real implementation on iOS devices.

Code examples for new APIs of iOS 10.

Live Graphics Framework

A collection of shaders to draw color maps.

Implementation of 'Image Super-Resolution using Deep Convolutional Network'

Next-generation HTML renderer for apps and games

Statistical Machine Intelligence & Learning Engine

Library for multivariate function approximation with splines (B-spline, P-spline, and more) with interfaces to C++, C, Python and MATLAB

Fast arbitrary dimension linear interpolation in C++

Instagram filters implemented in Metal

lightspeed lightweight elegant game engine in pure c

Fast, continuous interpolation of discrete datasets in Julia

Tiny YOLO for iOS implemented using CoreML but also using the new MPS graph API.

Data interchange and engine re-implementation for games by Retro Studios | Mirror

Native engine for Cocos Creator

Python library for optimized interpolation.

Make gravitational waves visible in an interactive iPad simulation.

A tiny macOS app showing how to use Satin, Forge, Youi and SwiftUI to visualize super shapes in 3D.

Lightweight, multi-platform, data-oriented game engine.

Webpage offering a wide range of online tools

Open deep learning compiler stack for cpu, gpu and specialized accelerators

Safe Skia Bindings for Rust

Playing with Metal

Low Level Graphics Library (LLGL) is a thin abstraction layer for the modern graphics APIs OpenGL, Direct3D, Vulkan, and Metal

Multidimensional Linear Interpolation with Modern Fortran

A simple way to play with the image!

Source code for my blog post "Getting started with TensorFlow on iOS"