(ICCV2017) Tensorflow implementation of Representation Learning by Learning to Count
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Updated
Feb 20, 2021 - Python
(ICCV2017) Tensorflow implementation of Representation Learning by Learning to Count
SSD implemented by MXNet/Gluon
Tutorial about How to change your slow tensorflow training faster
Using NVIDIA DALI with PyTorch, tensorflow keras
Example of use of nvidia dali
My solution for the Deepfake Detection Challenge
PyTorch DataLoader with DALI and CSV
Cassandra plugin for NVIDIA DALI
Fast Image Integrity Checker: Scan for corrupted images using Nvidia DALI
This repository contains code for pneumonia detection using X-ray images of the lungs.
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.
A pytorch implementation of dorefa quantization
The Triton backend that allows running GPU-accelerated data pre-processing pipelines implemented in DALI's python API.
Pytorch deep learning face frontalization model
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
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