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 2024-11-21 01:27:34 +03:00
ML.NET is an open source and cross-platform machine learning framework for .NET.
Обновлено 2024-11-20 20:29:19 +03:00
Official community-driven Azure Machine Learning examples, tested with GitHub Actions.
Обновлено 2024-11-20 16:48:44 +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 2024-11-20 10:51:18 +03:00
The Website and web infrastructure for learning TypeScript
Обновлено 2024-11-20 07:23:29 +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 2024-11-20 05:08:56 +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 2024-11-20 04:04:47 +03:00
VS Code Jupyter extension
Обновлено 2024-11-20 01:27:22 +03:00
Most modern Learning Management systems (LMS), such as Moodle using LTI protocol - an education technology, which represents a method for a learning system to connect with external applications. Assessment App is an LTI extension, implemented as a web application, which can be integrated into LMS using LTI protocol to allow Educators to easily create and manage assessments. The Assessment App aims to reduce time spent by Educators on assessment management because it works independently from any LMS, provides a unified user interface and eliminates the need to transfer the questions from one format to another when switching between different LMS.
Обновлено 2024-11-19 12:37:05 +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 2024-11-19 12:17:05 +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 2024-11-19 06:16:17 +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 2024-11-19 03:35:36 +03:00
TorchGeo: datasets, samplers, transforms, and pre-trained models for geospatial data
Обновлено 2024-11-19 01:55:46 +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 2024-11-19 01:51:18 +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 2024-11-18 23:05:01 +03:00
Resources created by Microsoft's GPS (Global Partner Solutions) team
Обновлено 2024-11-18 22:10:55 +03:00
HI-ML toolbox for deep learning for medical imaging and Azure integration
Обновлено 2024-11-18 20:06:15 +03:00
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 2024-11-18 12:48:34 +03:00
Platform for Machine Learning projects on Software Engineering
Обновлено 2024-11-18 06:25:17 +03:00
Detect and warn about suspicious IPs logging into Nextcloud
Обновлено 2024-11-18 04:42:49 +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
Hummingbird compiles trained ML models into tensor computation for faster inference.
Обновлено 2024-11-16 00:52:33 +03:00
Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.
machine-learning
deep-learning
python
platform
research
finance
algorithmic-trading
auto-quant
fintech
investment
paper
quant
quant-dataset
quant-models
quantitative-finance
quantitative-trading
research-paper
stock-data
Обновлено 2024-11-13 06:41:06 +03:00
24 Lessons, 12 Weeks, Get Started as a Web Developer
Обновлено 2024-11-11 23:05:38 +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 2024-11-11 23:02:40 +03:00
12 Weeks, 24 Lessons, AI for All!
Обновлено 2024-11-11 22:55:47 +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
Batch Scoring For Deep Learning Models
Обновлено 2024-11-08 19:24:35 +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
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