leocalm / Lyra

Implementation of a simple CNN using CUDA

Large octree map construction and rendering with CUDA and OpenGL

This project is an old code for Chinese words split. It is written by CUDA at 2010, so it could not run well directly under you platform without an GPU card.

Kernel Tuning Toolkit

A GPU implementation of smallpt (http://www.kevinbeason.com/smallpt/) with Bounding Volume Hierarchy (BVH) tree.

Cooperative primitives for CUDA C++.

Torch7 bindings for cuda-convnet2 kernels!

Use the Intel D435 real-sensing camera to realize target detection based on the Yolov3 framework under the Opencv DNN framework, and realize the 3D positioning of the Objection according to the depth information. Real-time display of the coordinates in the camera coordinate system.ADD--Using Yolov5 By TensorRT model,AGX-Xavier,RealTime Object Detection

N body gravity attraction problem solver

Experiments with CUDA and Rust

Deformable ConvNets V2 (DCNv2) in PyTorch

Physically based renderer and simulation engine for real-time applications.

Utilities for CUDA programming

How fast can we brute force a 64-bit comparison?

DES cracking using brute force algorithm and CUDA

Tests and benchmarks for cudnn (and in the future, other nvidia libraries)

Deep Object Co-Segmentation

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

caffe implementation of "Arbitrary Style Transfer with Deep Feature Reshuffle"