Arabic speech recognition, classification and text-to-speech.

#1 Locally hosted web application that allows you to perform various operations on PDF files

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

A Food delivery system using Django, PostGIS, Kubernetes, Loki, Prometheus, Grafana, OpenTelemetry, Jaeger and Redis.

Improving Text Embedding of Language Models Using Contrastive Fine-tuning

Desktop app for prototyping and debugging LangGraph applications locally.

A Gradio web UI for Large Language Models.

I am going to read Fluent Python SECOND EDITION Clear, Concise, and Effective Programming and publish what I am learning from new version of the book.

Word-cloud for Kurdish Poems

Delgosha is an R package that provides a collection of ggplot2 themes for RTL languages (mostly Persian)

Croissant is a high-level format for machine learning datasets that brings together four rich layers.

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

A beautiful, simple, clean, and responsive Jekyll theme for academics

✨ Build a beautiful and simple website in literally minutes. Demo at https://beautifuljekyll.com

OCR, layout analysis, reading order, table recognition in 90 languages

Parsing the Persian wikipedia's markup language into JSON and the most modern deep learning models built on it.

🙌 OpenHands: Code Less, Make More

DSPy: The framework for programming—not prompting—foundation models

A beautiful, simple, clean, and responsive Jekyll theme for academics

This repository contains the official implementation of the research paper, "MobileCLIP: Fast Image-Text Models through Multi-Modal Reinforced Training" CVPR 2024

Data for DS-UA 111 at NYU in the spring '23 semester

Paper list about multimodal and large language models, only used to record papers I read in the daily arxiv for personal needs.

✨✨Latest Advances on Multimodal Large Language Models

Foundational model for human-like, expressive TTS

R Code to accompany the book Introduction to Data Mining by Tan, Steinbach and Kumar (Code by Michael Hahsler)

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.