nvidia-dali

solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning

Pytorch deep learning face frontalization model

The Triton backend that allows running GPU-accelerated data pre-processing pipelines implemented in DALI's python API.

A pytorch implementation of dorefa quantization

Fast Image Integrity Checker: Scan for corrupted images using Nvidia DALI

Learn how to build and deploy a deep learning model to automate the detection of flood events using satellite imagery. This workflow can be applied to lower the cost, improve the efficiency, and significantly enhance the effectiveness of various natural disaster management use cases.

This repository contains code for pneumonia detection using X-ray images of the lungs.

Tutorial about How to change your slow tensorflow training faster

PyTorch DataLoader with DALI and CSV

Example of use of nvidia dali

Cassandra plugin for NVIDIA DALI

Using NVIDIA DALI with PyTorch, tensorflow keras

SSD implemented by MXNet/Gluon

Lossless preprocessing & efficient cloud storage for semantic segmentation datasets (Cityscapes, COCO). Zarr/Blosc2 compression, SHA-256 round-trip audit, NVIDIA DALI GPU pipeline, PyTorch-native dataloader. Built for Google Colab — no more 30GB re-downloads every session.

(ICCV2017) Tensorflow implementation of Representation Learning by Learning to Count

My solution for the Deepfake Detection Challenge

Ship segmentation in the images extracted from Synthetic Aperture Radar data with Torch DDP + Dali data pipeline with TFRecords + ONNX + TensorRT + AOT Inductor