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Godot Engine – Multi-platform 2D and 3D game engine
Animated sprite editor & pixel art tool (Windows, macOS, Linux)
Powerful yet simple to use screenshot software 🖥️ 📸
Development repository for the Triton language and compiler
A machine learning-based video super resolution and frame interpolation framework. Est. Hack the Valley II, 2018.
Crow is very fast and easy to use C++ micro web framework (inspired by Python Flask)
Galgame翻译器，支持HOOK、OCR、剪贴板等。Visual Novel Translator , support HOOK / OCR / clipboard
TNN: developed by Tencent Youtu Lab and Guangying Lab, a uniform deep learning inference framework for mobile、desktop and server. TNN is distinguished by several outstanding features, including its…
One stop solution for all Vulkan samples
🛠 A lite C++ toolkit of 100+ Awesome AI models, support ORT, MNN, NCNN, TNN and TensorRT. 🎉🎉
On-device AI across mobile, embedded and edge for PyTorch
Extracts text from video games and visual novels. Highly extensible.
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…
🌋🐎 Project Island is an experimental, hot-reloading Vulkan Renderer for Linux and Windows, written in C/C++.
Code repo for video tutorial series teaching Vulkan and computer graphics
Minimal Example of Using Vulkan for Compute Operations. Only ~400LOC.
PlenOctree Volume Rendering (supports CUDA & fragment shader backends)
Allows to perform various simple operations on bitmaps via JNI , while also providing some protection against OOM using the native Java environment on Android
🎥 Send frames to a virtual camera from Python
Sample projects for TensorFlow Lite in C++ with delegates such as GPU, EdgeTPU, XNNPACK, NNAPI
C++ Helper Class for Deep Learning Inference Frameworks: TensorFlow Lite, TensorRT, OpenCV, OpenVINO, ncnn, MNN, SNPE, Arm NN, NNabla, ONNX Runtime, LibTorch, TensorFlow
A machine vision library written in SYCL and C++ that shows performance-portable implementation of graph algorithms
