Popular GitHub Repositories for Nvidia Gpu

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

Multi-threaded GUI manager for mass creation of AI-generated art with support for multiple GPUs.

DockerFile with GPU support for TensorFlow and OpenCV

Ubuntu 18.04 How to install Nvidia driver + CUDA + CUDNN + build tensorflow for gpu step by step command line

Nvidia DLI workshop on AI-based anomaly detection techniques using GPU-accelerated XGBoost, deep learning-based autoencoders, and generative adversarial networks (GANs) and then implement and compare supervised and unsupervised learning techniques.

? Kubernetes coverage for fault awareness and recovery, works for any LLMOps, MLOps, AI workloads.

Django and React web application to recognize facial expressions with AI

Project demonstrates the power and simplicity of NVIDIA NIM (NVIDIA Inference Model), a suite of optimized cloud-native microservices, by setting up and running a Retrieval-Augmented Generation (RAG) pipeline.

Midjourney X Instant Collage -- Collage Template + Grid + Quality Style

Convert ONNX models to TensorRT engines and run inference in containerized environments

Scalable Facial Recognition Server Platform

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

tutorial on how to deploy a scalable autoregressive causal language model transformer using nvidia triton server

MLModelService wrapping Nvidia's Triton Server

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

Export PyTorch to ONNX and run inference in containerized environments.

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

Distributed MPI based Heterogenous GPU Solver for Markov Decision Processes (MDP)

Universal LLM Framework designed to abstract away the technical mumbo-jumbo of using pre-trained, or creating new ai llm's.