GitHub Action to extract metadata (tags, labels) from Git reference and GitHub events for Docker
Обновлено 2024-11-19 23:00:52 +03:00
The 'Unified Labeling Support Tool' provides the functionality to reset all corresponding client services (UL, AIP, MIP, etc.). Its main purpose is to delete the currently downloaded sensitivity label policies and thus reset all settings, and it can also be used to collect data for failure analysis and problem solving.
microsoft
powershell
office365
tool
classification
module
office
rms
support
unified
aadrm
aip
label
mip
protection
reset
Обновлено 2024-11-04 11:03:45 +03:00
👷 little helper scripts to handle GitHub milestones and labels
Обновлено 2024-10-17 15:27:47 +03:00
An issue labeler bot for use in dotnet repositories.
Обновлено 2024-10-01 23:45:17 +03:00
Surface Dev Center Manager tool to automate WHQL/Attestation submissions and Shipping Label creation for Microsoft Hardware Dev Center
Обновлено 2024-09-11 17:13:56 +03:00
A set of tools to use in Microsoft Azure Form Recognizer and OCR services.
machine-learning
typescript
machine-learning-algorithms
rpa
form-recognizer
labeling-tool
ocr-form-labeling
Обновлено 2024-09-04 06:49:14 +03:00
Unity's privacy-preserving human-centric synthetic data generator
unity
unity3d
deep-learning
computer-vision
pose-estimation
object-detection
synthetic-data
perception
synthetic-dataset-generation
billing-5160
synthetic-datasets
applied-ml-research
human-activity-recognition
human-centric-ml
human-pose-estimation
icml-2022
labeling
owner-machine-learning
synthetic-data-generation
transfer-learning
Обновлено 2024-03-05 04:05:37 +03:00
Anomaly detection analysis and labeling tool, specifically for multiple time series (one time series per category)
Обновлено 2024-02-08 18:29:01 +03:00
An action for automatically labelling issues
Обновлено 2024-01-31 19:12:31 +03:00
APSI is a C++ library for Asymmetric (unlabeled or labeled) Private Set Intersection.
Обновлено 2023-12-30 03:01:54 +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
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation (CVPR 2021)
deep-learning
computer-vision
neural-network
semantic-segmentation
semi-supervised-learning
domain-adaptation
pseudo-label
Обновлено 2023-07-07 00:28:52 +03:00
This is the FER+ new label annotations for the Emotion FER dataset.
Обновлено 2023-06-12 23:52:53 +03:00
MS MARCO(Microsoft Machine Reading Comprehension) is a large scale dataset focused on machine reading comprehension, question answering, and passage ranking. A variant of this task will be the part of TREC and AFIRM 2019. For Updates about TREC 2019 please follow This Repository Passage Reranking task Task Given a query q and a the 1000 most relevant passages P = p1, p2, p3,... p1000, as retrieved by BM25 a succeful system is expected to rerank the most relevant passage as high as possible. For this task not all 1000 relevant items have a human labeled relevant passage. Evaluation will be done using MRR
Обновлено 2023-06-12 21:21:58 +03:00
Deep Metric Transfer for Label Propagation with Limited Annotated Data
Обновлено 2023-06-03 07:09:23 +03:00
Power BI custom visual: a horizontal bar chart that saves space by putting the category labels inside the bars.
Обновлено 2023-04-20 08:16:44 +03:00
Meta Label Correction for Noisy Label Learning
Обновлено 2022-09-28 20:27:04 +03:00
In this project we develop new deep learning models for bootstrapping language understanding models for languages with no labeled data using labeled data from other languages.
Обновлено 2022-08-17 18:39:41 +03:00
Обновлено 2022-01-13 23:22:34 +03:00
A large-scale human labeled dataset for compositional generalization in natural language interfaces to Web APIs
Обновлено 2021-12-16 23:32:05 +03:00
Visual Object Tagging Tool: An electron app for building end to end Object Detection Models from Images and Videos.
deep-learning
object-detection
cntk
detection
labeling
imagetagger
tagging
taggingtools
tensorflow-object-detection-api
video-tagging
annotation-tool
detection-model
image-annotation
image-tagging
Обновлено 2021-12-07 00:10:56 +03:00
Data labels and scripts for fastMRI.org
Обновлено 2021-09-08 00:01:53 +03:00
Code for the paper Domain Adaptation with Conditional Distribution Matching and Generalized Label Shift
Обновлено 2020-10-28 05:33:06 +03:00
The purpose of this Kubernetes controller is to sync ARM VM/VMSS tags with node labels.
Обновлено 2020-01-09 01:53:33 +03:00
Deep learning-based multi-label audio retrieval using a Siamese network
Обновлено 2019-09-20 03:40:45 +03:00
2019 Internship project: multilabel clustering for audio
Обновлено 2019-08-24 04:10:39 +03:00
Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.
microsoft
azure-storage
image-classification
neural-networks
cntk
microsoft-azure
land-cover
land-use
geospatial-data
image-segmentation
microsoft-machine-learning
azure-batchai
cntk-model
geospatial-analysis
Обновлено 2019-07-25 06:53:28 +03:00