Detect and warn about suspicious IPs logging into Nextcloud
Обновлено 2024-09-19 04:15:54 +03:00
Polyfills & Capable Browser detection
Обновлено 2024-09-17 19:09:09 +03:00
Scans your project to determine what components you use
hacktoberfest
static-analysis
dependencies
package-management
sbom
software-bill-of-materials
software-composition-analysis
Обновлено 2024-09-16 20:31:23 +03:00
A source code analyzer built for surfacing features of interest and other characteristics to answer the question 'What's in the code?' quickly using static analysis with a json based rules engine. Ideal for scanning components before use or detecting feature level changes.
detection
static-analysis
security-tools
application-inspector
security-scanner
software-characterization
Обновлено 2024-09-14 10:36:33 +03:00
An npm package that uses ML to detect source code languages
Обновлено 2024-08-31 02:18:12 +03:00
This package features data-science related tasks for developing new recognizers for Presidio. It is used for the evaluation of the entire system, as well as for evaluating specific PII recognizers or PII detection models.
machine-learning
deep-learning
nlp
natural-language-processing
privacy
ner
transformers
pii
named-entity-recognition
spacy
flair
Обновлено 2024-08-07 19:17:23 +03:00
Road detections from Microsoft Maps aerial imagery
Обновлено 2024-08-06 02:49:05 +03:00
Tools for detecting wildlife in aerial images using active learning
Обновлено 2024-07-25 14:23:22 +03:00
This asset is an example of swapping two faces in an image using “OpenCV for Unity” and “Dlib FaceLandmark Detector”.
Обновлено 2024-07-23 11:04:27 +03:00
This asset is an example project that maps face mask to the detected faces in an image using “OpenCV for Unity” and “Dlib FaceLandmark Detector”.
Обновлено 2024-07-23 11:03:52 +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
Experience, Learn and Code the latest breakthrough innovations with Microsoft AI
csharp
javascript
computer-vision
iot
bot
ai
object-detection
azure-functions
algorithms
dnn
luis
image-classification
bing-search
custom-vision
html5
language-learning
ocr
translation
Обновлено 2024-06-26 22:42:37 +03:00
An example of using OpenCV dnn module with YOLOv5. (ObjectDetection, Segmentation, Classification)
Обновлено 2024-03-09 22:49:38 +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
The object detection solution accelerator provides a pre-packaged solution to train, deploy and monitor custom object detection models using the TensorFlow object detection API within Azure ML.
Обновлено 2024-01-24 22:16:23 +03:00
HoloLens With OpenCVforUnity Example (Support for Hololens1 and Hololens2)
Обновлено 2023-11-02 11:57:35 +03:00
Best Practices, code samples, and documentation for Computer Vision.
microsoft
azure
machine-learning
python
deep-learning
data-science
computer-vision
kubernetes
artificial-intelligence
object-detection
tutorial
jupyter-notebook
convolutional-neural-networks
image-classification
image-processing
operationalization
similarity
Обновлено 2023-10-18 19:13:00 +03:00
This project provides an official implementation of our recent work on real-time multi-object tracking in videos. The previous works conduct object detection and tracking with two separate models so they are very slow. In contrast, we propose a one-stage solution which does detection and tracking with a single network by elegantly solving the alignment problem. The resulting approach achieves groundbreaking results in terms of both accuracy and speed: (1) it ranks first among all the trackers on the MOT challenges; (2) it is significantly faster than the previous state-of-the-arts. In addition, it scales gracefully to handle a large number of objects.
Обновлено 2023-10-04 00:42:58 +03:00
Table Transformer (TATR) is a deep learning model for extracting tables from unstructured documents (PDFs and images). This is also the official repository for the PubTables-1M dataset and GriTS evaluation metric.
Обновлено 2023-09-07 07:38:34 +03:00
With AutoBrewML Framework the time it takes to get production-ready ML models with great ease and efficiency highly accelerates.
microsoft
machine-learning
data-science
anomaly-detection
nlp-machine-learning
sampling-strategies
text-analysis
text-classification
text-summarization
azure-automl
cleansing-data
datavisualization
responsible-ml
Обновлено 2023-08-03 09:43:02 +03:00
Token-level Reference-free Hallucination Detection
Обновлено 2023-07-25 19:41:01 +03:00
SynthDet - An end-to-end object detection pipeline using synthetic data
machine-learning
deep-learning
computer-vision
pose-estimation
synthetic-data
synthetic-dataset-generation
detection
domain-randomization
object-detection
synthetic-dataset
Обновлено 2023-07-05 23:50:31 +03:00
This solution template demonstrates how to build and deploy a retail online fraud detection solution.
Обновлено 2023-06-12 23:02:25 +03:00
GitHub Repository for Blogpost: Monitoring environmental conditions near underwater datacenters using Deep Learning
Обновлено 2023-06-12 22:02:20 +03:00
Early Detection of Fake News with Multi-source Weak Social Supervision
Обновлено 2023-06-12 21:50:00 +03:00
PyTorch ObjectDetection Modules and ONNX ops
Обновлено 2023-06-12 21:23:12 +03:00
Perception toolkit for sim2real training and validation in Unity
machine-learning
computer-vision
deep-learning
detection
domain-randomization
object-detection
perception
pose-estimation
segmentation
synthetic-dataset-generation
Обновлено 2023-06-02 00:25:21 +03:00
Docker Scan is a Command Line Interface to run vulnerability detection on your Dockerfiles and Docker images
docker
docker-container
docker-image
dockerfile
vulnerabilities
vulnerability
vulnerability-detection
vulnerability-scanners
Обновлено 2023-05-11 23:47:13 +03:00