A Nvidia partnership project of a autonomous car MVP using Jetbot and other Nvidia tools for HPC and Transfer Learning

Mxnet2Caffe_Tensor RT

Beginner-friendly introduction to TensorRT using Torch-TRT on YOLO-V5

Implemented the DROID-SLAM visual SLAM pipeline on the NVIDIA Jetson AGX Orin to achieve real-time camera tracking and 3D scene reconstruction on edge hardware. The project focuses on running deep-learning-based SLAM efficiently on an embedded GPU device.

A minimal, high-performance starter kit for running AI model inference on NVIDIA GPUs using CUDA. Includes environment setup, sample kernels, and guidance for integrating ONNX/TensorRT pipelines for fast, optimized inference on modern GPU hardware.

Minimal TensorRT demo on NVIDIA L4 GPUs: Export PyTorch MLP to ONNX, optimize with FP16, and achieve 40%+ latency reduction via batched inference.