"Word2Vec for Russian text" - my project for course "Scientific Data Computing" in University of Tartu. It was presented as 20-minutes talk on 6th Estonian Digital Humanities Conference at September 2018.
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Updated
Sep 27, 2018 - Jupyter Notebook
"Word2Vec for Russian text" - my project for course "Scientific Data Computing" in University of Tartu. It was presented as 20-minutes talk on 6th Estonian Digital Humanities Conference at September 2018.
NLP Dataset Creation and Semantic Search Demonstration
Repository with the source code of our technique to analyze a test suite and find similar test cases written in natural language
Retrieval-Augmented Generation using Azure OpenAI
Mind-X is my intelligent alter ego that understands me the best. It assists with and resolves my bothersome tasks, growing in real-time as a next-generation PersonAI system.
Coderspace ve Anadolu Sigorta'nın iş birliği ile gerçekleşen "Hack the Insurance" hackathonu altında geliştirdiğimiz proje.
Topic Embedding, Text Generation and Modeling using diffusion
Artificial Intelligence Services
🌄 Search images through text by writing a caption or a description. You will be intelligently assisted while typing.
"BrightPsych" is a holistic mental health platform featuring a supportive chatbot and detail CBT analysis for disorders. Daily Mood Tracking aids emotional well-being, while data analysis unveils student mental health trends. Guided mindfulness contribute to resilience in a nurturing space. Empower, Engage and Elevate through Community Forum.
This project is based on the Cocktail Recommendation System, which utilizes the Retrieval-Augmented Generation (RAG) approach to provide users with personalized cocktail recommendations based on their queries.
Julia experimentation using sequence-based NLP models
Capstone project for the Udacity's ML Engineer Specialization
SERVER: Multi-modal Speech Emotion Recognition using Transformer-based and Vision-based Embeddings
BGE-M3 is an innovative project known for its versatility, featuring Multi-Functionality, Multi-Linguality, and Multi-Granularity.
A Flask API endpoint for generating text embeddings using instructor-base, deployed with Docker Compose, and featuring Redis for caching and nginx for proxying.
Functionalities to work with colors. Cast colors types, find closest color using text-embeddings, find color complement.
MedCPT generates embeddings of biomedical texts that can be used for semantic search (dense retrieval). MedCPT Query Encoder: compute the embeddings of short texts (e.g., questions, search queries, sentences). In this template, we will import the MedCPT Query Encoder on the Inferless Platform.
State-of-the-Art Ember embedding model for retrieval augmented generation
This is a sentence embedding model, initialized from xlm-roberta-large and continually trained on a mixture of multilingual datasets. It supports 100 languages from xlm-roberta, but low-resource languages may see performance degradation.
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