Workflow that takes advantage of GATKs CNN tool which is a deep learning approach to filter variants based on Convolutional Neural Networks
Обновлено 2024-11-06 01:27:52 +03:00
12 Weeks, 24 Lessons, AI for All!
Обновлено 2024-10-15 14:01:53 +03:00
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Обновлено 2024-07-15 18:00:32 +03:00
We present a deep learning approach towards the large-scale prediction and analysis of bird acoustics from 100 different bird species
Обновлено 2024-06-18 02:11:34 +03:00
We design an effective Relation-Aware Global Attention (RGA) module for CNNs to globally infer the attention.
Обновлено 2023-06-12 21:55:25 +03:00
SR-CNN
Обновлено 2022-11-28 22:09:47 +03:00
O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis
Обновлено 2022-08-30 12:45:51 +03:00
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
Обновлено 2022-08-30 11:00:20 +03:00
Example output visualizations of CNN-based binaural localizer
Обновлено 2022-02-17 06:23:26 +03:00
Deploying CNN using Kubeflow on Azure Kubernetes Service
Обновлено 2019-02-22 22:57:24 +03:00
Fast R-CNN Object Detection on Azure using CNTK
Обновлено 2018-03-24 00:14:57 +03:00
A python implementation for a CNTK Fast-RCNN evaluation client
Обновлено 2017-07-04 11:22:40 +03:00