The ORBIT dataset is a collection of videos of objects in clean and cluttered scenes recorded by people who are blind/low-vision on a mobile phone. The dataset is presented with a teachable object recognition benchmark task which aims to drive few-shot learning on challenging real-world data.
microsoft
machine-learning
computer-vision
video
benchmark
dataset
classification
few-shot-learning
meta-learning
object-recognition
Обновлено 2024-08-13 03:27:45 +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
Multi-species bioacoustic classification using deep learning algorithms
Обновлено 2024-06-18 01:58:08 +03:00
NLP DNN Toolkit - Building Your NLP DNN Models Like Playing Lego
deep-learning
pytorch
natural-language-processing
artificial-intelligence
dnn
question-answering
model-compression
text-classification
knowledge-distillation
text-matching
qna
sequence-labeling
Обновлено 2023-07-22 06:07:54 +03:00
Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
deep-learning
automl
neural-architecture-search
image-classification
cifar-100
cifar10
deep-learning-algorithms
imagenet
Обновлено 2023-06-12 21:22:32 +03:00
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
Обновлено 2022-09-29 18:17:40 +03:00
Natural Language Processing Best Practices & Examples
machine-learning
deep-learning
nlp
natural-language-processing
best-practices
text-classification
natural-language-understanding
nlu
azure-ml
text
mlflow
pretrained-models
nli
natural-language
natural-language-inference
sota
transfomer
Обновлено 2022-08-29 16:59:54 +03:00
This is an official implementation of CvT: Introducing Convolutions to Vision Transformers.
Обновлено 2022-06-22 07:21:09 +03:00
Обновлено 2022-01-12 03:35:14 +03:00
This is a classification solution accelerator to help you build and deploy a binary classification project.
Обновлено 2021-10-01 18:41:37 +03:00
This repository contains instructions and code to deploy a customer 360 profile solution on Azure stack using the Cortana Intelligence Suite.
azure
azure-functions
data-science
decision-trees
feature-engineering
customer-enrichment
data-virtualization
datawarehouse
multi-class-classification
Обновлено 2018-08-10 20:22:24 +03:00
Walkthrough demonstrating how trained DNNs (CNTK and TensorFlow) can be applied to massive image sets in ADLS using PySpark on Azure HDInsight clusters
Обновлено 2017-09-06 22:46:02 +03:00