Best Practices on Recommendation Systems
azure
microsoft
machine-learning
python
deep-learning
kubernetes
data-science
artificial-intelligence
jupyter-notebook
tutorial
operationalization
ranking
rating
recommendation
recommendation-algorithm
recommendation-engine
recommendation-system
recommender
Обновлено 2024-11-09 17:05:54 +03:00
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Обновлено 2024-11-09 03:13:44 +03:00
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Обновлено 2024-11-09 01:37:44 +03:00
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
machine-learning
deep-learning
pytorch
gpu
compression
billion-parameters
data-parallelism
inference
mixture-of-experts
model-parallelism
pipeline-parallelism
trillion-parameters
zero
Обновлено 2024-11-09 01:31:20 +03:00
Simple and Distributed Machine Learning
azure
microsoft
machine-learning
deep-learning
ai
data-science
opencv
ml
cognitive-services
spark
http
big-data
lightgbm
databricks
onnx
apache-spark
pyspark
scala
model-deployment
synapse
Обновлено 2024-11-08 23:35:06 +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 2024-11-08 22:38:42 +03:00
The Website and web infrastructure for learning TypeScript
Обновлено 2024-11-08 21:59:31 +03:00
ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.
Обновлено 2024-11-08 19:55:46 +03:00
Batch Scoring For Deep Learning Models
Обновлено 2024-11-08 19:24:35 +03:00
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
machine-learning
deep-learning
pytorch
tensorflow
neural-networks
scikit-learn
ai-framework
hardware-acceleration
onnx
Обновлено 2024-11-08 15:58:39 +03:00
Office 365 and Azure Active Directory plugins for Moodle
microsoft
education
moodle
lms
oidc
office-365
virtual-learning-environment
learning-management-system
microsoft-graph-api
microsoft-school-data-sync
moodle-plugin
Обновлено 2024-11-08 13:39:59 +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 2024-11-08 09:19:21 +03:00
HI-ML toolbox for deep learning for medical imaging and Azure integration
Обновлено 2024-11-07 20:38:47 +03:00
Releasing building footprint polygons for Kenya and Nigeria derived from satellite imagery using machine learning
Обновлено 2024-11-07 20:33:47 +03:00
VS Code Jupyter extension
Обновлено 2024-11-07 07:39:04 +03:00
Detect and warn about suspicious IPs logging into Nextcloud
Обновлено 2024-11-06 21:30:41 +03:00
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
machine-learning
data-science
causal-inference
causality
treatment-effects
bayesian-networks
causal-machine-learning
causal-models
do-calculus
graphical-models
python3
Обновлено 2024-11-06 18:53:00 +03:00
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
ML.NET is an open source and cross-platform machine learning framework for .NET.
Обновлено 2024-11-05 20:27:05 +03:00
Resources created by Microsoft's GPS (Global Partner Solutions) team
Обновлено 2024-11-05 19:00:07 +03:00
Examples for using ONNX Runtime for machine learning inferencing.
Обновлено 2024-11-05 01:51:35 +03:00
Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft
Обновлено 2024-11-04 20:20:56 +03:00
Home of the commercial marketplace learning series.
Обновлено 2024-11-04 18:48:19 +03:00
Platform for Machine Learning projects on Software Engineering
Обновлено 2024-11-04 06:54:44 +03:00
To gain access, please finish setting up this repository now at: https://repos.opensource.microsoft.com/microsoft/wizard?existingreponame=CameraTraps&existingrepoid=152634113
Обновлено 2024-11-01 21:27:42 +03:00
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 2024-11-01 05:08:45 +03:00
Sharing Updatable Models (SUM) on Blockchain
machine-learning
python
react
ai
ml
artificial-intelligence
node
economics
blockchain
ethereum
prediction-mar
prediction-market
smart-contracts
truffle
Обновлено 2024-10-31 16:38:58 +03:00
DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.
Обновлено 2024-10-30 20:27:48 +03:00
Azure Machine Learning for Visual Studio Code, previously called Visual Studio Code Tools for AI, is an extension to easily build, train, and deploy machine learning models to the cloud or the edge with Azure Machine Learning service.
Обновлено 2024-10-30 10:28:02 +03:00
Microsoft Finance Time Series Forecasting Framework (FinnTS) is a forecasting package that utilizes cutting-edge time series forecasting and parallelization on the cloud to produce accurate forecasts for financial data.
microsoft
machine-learning
deep-learning
data-science
r
finance
time-series
forecasting
business
finnts
r-package
rstats
Обновлено 2024-10-29 17:51:56 +03:00