- Kharkiv, Ukraine
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State-of-the-Art Text Embeddings
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
A Library for Advanced Deep Time Series Models.
Apache Beam is a unified programming model for Batch and Streaming data processing.
Apache Doris is an easy-to-use, high performance and unified analytics database.
A framework for managing and maintaining multi-language pre-commit hooks.
Python bindings for the Transformer models implemented in C/C++ using GGML library.
A python library for user-friendly forecasting and anomaly detection on time series.
The Open Source Feature Store for Machine Learning
The Metadata Platform for your Data and AI Stack
Always know what to expect from your data.
dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.
The leading data integration platform for ETL / ELT data pipelines from APIs, databases & files to data warehouses, data lakes & data lakehouses. Both self-hosted and Cloud-hosted.
Time series forecasting with machine learning models
UzWordnet is a lexical-semantic database, or a “word-net”, for the Uzbek language (native: O’zbek till) compatible with Princeton WordNet.
The Uzbek stemming algorithm was created by [Maksud Sharipov, Ulugbek Salaev, Allabergan Yuldashev, Jasur Sobirov]. It stems all Uzbek words and it is not included any lexicon.
A novel stemmer for the Ukrainian language trained with AI
Create beautiful, publication-quality books and documents from computational content.
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Joke programming language for 'gopniks' in Russia. Back from 2016!
Server-side Swift. The Perfect core toolset and framework for Swift Developers. (For mobile back-end development, website and API development, and more…)
AFNetworking Extension for OAuth 2 Authentication
Test program to read characters on labels using openCV and Tesseract-OCR