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.
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
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
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.
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
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
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
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.
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.
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, 24 Lessons, AI for All!
Обновлено 2024-11-11 22:55:47 +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