An Open Source Machine Learning Framework for Everyone
-
Updated
Jun 12, 2024 - C++
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
An Open Source Machine Learning Framework for Everyone
🚀 Metadata tracking and UI service for Metaflow!
Sister project to OpenLLMetry, but in Typescript. Open-source observability for your LLM application, based on OpenTelemetry
🤘 TT-NN operator library, and TT-Metalium low level kernel programming model.
Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop.ai
The GPU-powered AI application database. Get your app to market faster using the simplicity of SQL and the latest NLP, ML + LLM models.
Knowledge graph from unstructured text
Practical works and homeworks on the subject "Cloud technologies and the use of Microsoft Azure in application development" (25.04.2023 - 08.06.2023) at IT STEP Academy in Kryvyi Rih.
Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.
An Engine-Agnostic Deep Learning Framework in Java
This repository contains a Rust-based graphical user interface (GUI) application built using GTK, designed to annotate, train, and evaluate AI algorithms and machine learning models. The app provides an intuitive and efficient workflow for data scientists and AI enthusiasts, facilitating the entire process from data annotation to model evaluation.