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 2024-11-07 01:00:08 +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
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 2024-11-05 15:04:38 +03:00
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
machine-learning
python
data-science
ml
scikit-learn
r
machine-learning-algorithms
machinelearning
education
scikit-learn-python
machinelearning-python
Обновлено 2024-10-25 02:21:39 +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
A dataset of real DNA traces for benchmarking trace reconstruction algorithms
Обновлено 2024-08-13 21:17:32 +03:00
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
machine-learning
deep-learning
data-science
python
tensorflow
mlops
pytorch
hyperparameter-optimization
hyperparameter-tuning
machine-learning-algorithms
model-compression
nas
neural-architecture-search
neural-network
automated-machine-learning
automl
bayesian-optimization
deep-neural-network
distributed
feature-engineering
Обновлено 2024-07-03 13:54:08 +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
Samples for ML.NET, an open source and cross-platform machine learning framework for .NET.
Обновлено 2024-04-29 23:02:02 +03:00
Multi-Agent Resource Optimization (MARO) platform is an instance of Reinforcement Learning as a Service (RaaS) for real-world resource optimization problems.
docker
reinforcement-learning
simulator
finance
inventory-management
logistics
maro
multi-agent
multi-agent-reinforcement-learning
operations-research
raas
resource-optimization
rl-algorithms
transportation
agent
citi-bike
Обновлено 2024-02-23 11:45:58 +03:00
Algorithms for doing leader election and name resolving with the help of another HA system, serve as anticorruption layers.
Обновлено 2024-01-16 22:51:13 +03:00
quantum-viz.js is a configurable tool for rendering quantum circuits using pure HTML.
Обновлено 2023-08-15 02:14:12 +03:00
Lite Self-Training
Обновлено 2023-07-25 20:31:38 +03:00
Synthesizer for optimal collective communication algorithms
Обновлено 2023-07-21 21:16:40 +03:00
This repository provides code for machine learning algorithms for edge devices developed at Microsoft Research India.
microsoft
machine-learning
deep-learning
cpp
pytorch
tensorflow
machine-learning-algorithms
edge-computing
iot-device
protonn
resource-constrained-ml
sensor
bonsai
classifier
edge-devices
edge-machine-learning
emi-rnn
fastgrnn
fastrnn
microsoft-research
Обновлено 2023-07-07 00:42:22 +03:00
TestApi is a library of test and utility APIs that enables developers and testers to create testing tools and automated tests for .NET and Win32 applications. TestApi provides a set of common test building blocks -- types, data-structures and algorithms -- in a simple, layered, componentized and documented stack.
Обновлено 2023-06-12 23:27:26 +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
Logarithmic Reinforcement Learning
reinforcement-learning
algorithms
algorithm
discount
discount-factor
dqn
gap
log-rl
logrl
rl
action-gap
Обновлено 2023-03-25 04:36:23 +03:00
SIDH Library is a fast and portable software library that implements state-of-the-art supersingular isogeny cryptographic schemes. The chosen parameters aim to provide security against attackers running a large-scale quantum computer, and security against classical algorithms.
Обновлено 2022-12-12 04:16:18 +03:00
Algorithms to find Bertrand Nash equilibria in pricing games
Обновлено 2022-11-28 22:12:35 +03:00
Algorithms to find consecutive integers that are smooth
Обновлено 2022-09-09 21:16:12 +03:00
A collection of statistics algorithms from Mersenne twister generator to MCMC sampling.
Обновлено 2022-08-02 09:36:38 +03:00
A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.
azure
docker
dotnet-core
tensorflow
object-detection
gpu
counting
edge-computing
video-analytics
yolov3
Обновлено 2022-07-26 04:18:01 +03:00
.NET Standard library containing hashing algorithms.
Обновлено 2022-04-13 23:06:27 +03:00
Distributed optimization algorithms for empirical risk minimization.
Обновлено 2020-09-04 09:28:59 +03:00
RAPPOR: Privacy-Preserving Reporting Algorithms
Обновлено 2017-09-11 20:09:27 +03:00
In this demo we take the well-known game of Sudoku, and demonstrate how developers can use HTML5 and JavaScript to create an efficient algorithm to solve these puzzles. The algorithms draw heavily on the Chakra engine’s support for ECMAScript 5 standard array operations to rapidly solve many Sudoku games. You can also manually solve Sudoku puzzles.
Обновлено 2016-06-23 00:37:13 +03:00