Labellerr/deeplearning
Labellerr is a One Stop Automated AI training and Data Annotation SAAS platform for Computer Vision, Voice and NLP solutions. Our goal is to provide organizations a tool so that they can focus more on building AI models quickly rather than waiting on any third party services. Specially designed for machine learning researchers, AI software developers, big data engineers & data scientists whose need is to label millions & billions of datasets in a shorter duration with minimal effort. With Labellerr you can annotate data in any form such as image, text, audio files, video, documents, geospatial, MRI etc by first converting it from unstructured or semi-structured to structured format. This repository is a part of our community initiative wherein we bring the implementations of the latest advancements in the field of Deep Learning.
This project provides implementations and guides for advanced Deep Learning algorithms. It helps machine learning researchers, AI software developers, big data engineers, and data scientists quickly build AI models by offering tools and walkthroughs for tasks like image segmentation and super-resolution. The project takes various data types (images, text, audio) and provides structured, annotated data ready for model training.
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Use this if you are a machine learning researcher or AI developer looking for readily available implementations of state-of-the-art Deep Learning algorithms to integrate into your projects or to learn from.
Not ideal if you are an end-user without a technical background in AI or data science, as this repository focuses on the technical implementation of algorithms.
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Last pushed
Jan 24, 2023
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