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".
object-detection
image-classification
semantic-segmentation
imagenet
swin-transformer
ade20k
mask-rcnn
mscoco
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
Time Series Forecasting Best Practices & Examples
machine-learning
python
deep-learning
artificial-intelligence
r
best-practices
jupyter-notebook
automl
lightgbm
hyperparameter-tuning
model-deployment
prophet
retail
tidyverse
time-series
azure-ml
demand-forecasting
dilated-cnn
forecasting
Обновлено 2023-05-01 00:54:37 +03:00
Обновлено 2022-09-22 19:15:48 +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
Datasets, tools, and benchmarks for representation learning of code.
machine-learning
deep-learning
data-science
ml
python
tensorflow
neural-networks
open-data
datasets
cnn
machine-learning-on-source-code
natural-language-processing
nlp
nlp-machine-learning
bert
programming-language-theory
representation-learning
rnn
self-attention
data
Обновлено 2022-01-31 12:25:07 +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