Smart camera tools for passionate creators
Обновлено 2024-11-21 02:05:25 +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.
Обновлено 2024-11-21 01:27:34 +03:00
Training pipelines for Firefox Translations neural machine translation models
Обновлено 2024-11-20 23:58:58 +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
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
A modular services stack that facilitates remote Linux devices management over Azure
Обновлено 2024-11-20 01:22:01 +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
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
This machine kills superstition. 💨
Обновлено 2024-11-18 21:38:04 +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
💻📦 The Nextcloud VM (virtual machine appliance), Home/SME Server and scripts for RPi (4). Community developed and maintained.
Обновлено 2024-11-17 11:08:18 +03:00
Hummingbird compiles trained ML models into tensor computation for faster inference.
Обновлено 2024-11-16 00:52:33 +03:00
This PowerShell script will run some connectivity checks from this machine to the server and database.
Обновлено 2024-11-15 16:02:11 +03:00
Linux Virtual Machine Extensions for Azure
Обновлено 2024-11-14 08:11:53 +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
12 Weeks, 24 Lessons, AI for All!
Обновлено 2024-11-11 22:55:47 +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
Open dataset of machine extracted buildings in Uganda and Tanzania
Обновлено 2024-11-07 20:27:30 +03:00