NVIDIA/dlinput-tf

Optimized data input pipeline for deep learning frameworks

Optimized data input pipeline for deep learning frameworks

Deep Learning tools and applications for NVIDIA AGX platforms.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

A simple memory manager for CUDA designed to help Deep Learning frameworks manage memory

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

NVIDIA Deep learning Dataset Synthesizer (NDDS)

Deep Learning GPU Training System

The repository includes Notebook files and documents of the course I completed in NVIDIA Deep Learning Institute. Feel free to acess and work with the Notebooks and other files.

Overview of deep learning frameworks: PyTorch, TensorFlow, and what comes next

Nvidia's DLI course for Fundamentals of Deep Learning for Computer Vision

Deep learning for recommender systems

Deep learning of satellite data: Use the data from satellites for machine learning (deep learning) purposes

Deep Learning Examples

Style transfer, deep learning, feature transform

Comparison of several Deep Reinforcement Learning frameworks.