A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
machine-learning
deep-learning
data-science
python
automated-machine-learning
natural-language-processing
hyperparameter-optimization
automl
jupyter-notebook
timeseries-forecasting
tuning
classification
finetuning
hyperparam
natural-language-generation
random-forest
regression
scikit-learn
tabular-data
Обновлено 2024-11-20 10:51:18 +03:00
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.
machine-learning
microsoft
python
distributed
data-mining
decision-trees
gbdt
gbm
gbrt
gradient-boosting
kaggle
lightgbm
parallel
r
Обновлено 2024-11-17 23:49:19 +03:00
An example of using OpenCV dnn module with YOLOv5. (ObjectDetection, Segmentation, Classification)
Обновлено 2024-11-11 20:00:01 +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
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
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
Multi-species bioacoustic classification using deep learning algorithms
Обновлено 2024-06-18 01:58:08 +03:00
Workshop for student hackathons focused on Lobe.ai
Обновлено 2024-01-09 08:40:23 +03:00
A web app to create and browse text visualizations for automated customer listening.
Обновлено 2023-10-27 06:29:49 +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
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
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
Inverted file indexing and retrieval optimized for short texts. Supports auto-suggest and query segment classification.
Обновлено 2023-06-12 23:26:47 +03:00
Text classification solution with Microsoft Machine Learning Server
Обновлено 2023-06-12 22:32:06 +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
Documentation and example code for DCASE 2019 task 5 sound classification challenge
Обновлено 2023-06-12 21:21:43 +03:00
Deep Metric Transfer for Label Propagation with Limited Annotated Data
Обновлено 2023-06-03 07:09:23 +03:00
To gain access, please finish setting up this repository now at: https://repos.opensource.microsoft.com/microsoft/wizard?existingreponame=SpeciesClassification&existingrepoid=169153301
Обновлено 2023-05-01 23:51:33 +03:00
Intelligent APIs aim to make machine learning (ML) tasks easier for UWP developers to leverage in their applications without needing ML expertise or creating a new model.
Обновлено 2023-02-10 22:43:48 +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
Ramp up your custom natural language processing (NLP) task, allowing you to bring your own data, use your preferred frameworks and bring models into production.
nlp
ner
classification
question-answering
dstoolkit
machine-reading-comprehension
summarization
transformer
Обновлено 2022-01-10 02:07:54 +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
Provably defending pretrained classifiers including the Azure, Google, AWS, and Clarifai APIs
machine-learning
deep-learning
computer-vision
neural-networks
image-classification
azure-computer-vision
clarifai
google-cloud-vision
provable-defense
adversarial-defense
adversarial-examples
adversarial-robustness
aws-rekognition
Обновлено 2021-04-03 00:37:13 +03:00
Quantum Classification tutorial using Microsoft Quantum Development Kit
Обновлено 2020-12-03 10:04:00 +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