Implementation of ConjugateGradients method using C and Nvidia CUDA

This system tracks artifacts in museum and triggers alarm if artifact goes missing from the frame.

Fundamentals of heterogeneous parallel programming with CUDA C/C++ at the beginner level.

PyTorch Image and Video Super-Resolution, specialized for vehicle and traffic view processing and performed by using Deep Convolutional Neural Networks

A simple image classifier built with Keras using NVIDIA cuda libraries.

This script collects some informations about NVLink and PCI bus traffic of NVidia GPUs. Results are published as prometheus metrics via a websocket.

A YOLOv4 model that can detect 5 classes on the road and a comparison with YOLOv3.

my thesis works on mri image segmentation of brain tumour using deep learning models

Automatic transcriber made with the Nvidia NeMo AI toolkit. Used to transcribe speech to text in real-time from any source. Requires CUDA capable GPU to run on the local machine, if setup using virtual audio cables can transcribe the audio that is being played in real-time without any other requirements.

This repository contains scripts and commands for exporting YOLO models to different formats, including TensorRT (.engine) and ONNX (.onnx).

Realtime Monitor of Nvidia GPU Metrics with NVML Library

A pre-configured instant-ngp workspace that includes helpful scripts for getting started with NeRF training.

The simplest & most comprehensible tutorial on speaker identification with NVIDIA's `Nemo`.

Convert Your Videos into Frame By Frame Png's... Useful for Rotoscoping

for nvidia graphic metrics on datadog

This project analyzes GPU performance metrics from AI training and inference tasks, highlighting the optimal power settings for efficient operation. It generates visualizations to help identify the best max power settings for training and inference based on energy consumption.

Real-time Embedded Deep Learning for Autonomous Lane Change Systems of Autonomous Driving

AlphAI is a versatile Python toolkit for GPU profiling and analytics, supporting various tensor models. It enhances GPU server operations and serves as a client for American Data Science's notebook servers.

Python script for collectd, wrapping system calls to nvidia-smi.

This repository is a one stop documentation for the tensorrt framework provided by NVIDIA. This repository contains every details starting from installation of tensorrt to deployment of model using Tensorrt.