Stars
Synthetic data curation for post-training and structured data extraction
Grandmaster-Level Chess Without Search
NVIDIA Isaac GR00T N1 is the world's first open foundation model for generalized humanoid robot reasoning and skills.
Follow along with my AI Agents Masterclass videos! All of the code I create and use in this series on YouTube will be here for you to use and even build on top of!
Educational framework exploring ergonomic, lightweight multi-agent orchestration. Managed by OpenAI Solution team.
CV-CUDA™ is an open-source, GPU accelerated library for cloud-scale image processing and computer vision.
GUI image processor that applies convolution kernels (Gaussian blur, Laplace operators, etc) to images using CUDA.
Modified version of "Rapid, Detail-Preserving Image Downscaling"
An OpenCV / CUDA video crop class and example for the NVIDIA Jetson Orin and Xavier written in C++17
Perlin Noise, Poisson Image Editing implemented in CUDA. Course assignments of GPU programming at National Taiwan University.
Implementation from scratch in CUDA C++ of image processing algorithms.
Binary image skeletonization algorithms for CPUs and Nvidia GPUs
Parallel GPU Implementation of Connected Component Labelling (CCL). Connected-component labeling is used in computer vision to detect connected regions in binary digital images
Train a chess CNN on collection of Grandmaster games
A pipelined implementation of the MIPS processor featuring hazard detection as well as forwarding
Deep Pink is a chess AI that learns to play chess using deep learning.
Chess AI using Convolutional Neural Networks.