- Rotterdam, Netherlands
- @erfannariman
Stars
Python tool for converting files and office documents to Markdown.
This is a repo with links to everything you'd ever want to learn about data engineering
A curated list of practical financial machine learning tools and applications.
From the Transistor to the Web Browser, a rough outline for a 12 week course
Curated list of project-based tutorials
The ultimate list of which programs support Vim-like keybindings natively, or how they can be added with extensions. A collaborative project.
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
Implementation of some Cythonized pandas routines in Rust
Interact with your documents using the power of GPT, 100% privately, no data leaks
Port of OpenAI's Whisper model in C/C++
Drag & drop UI to build your customized LLM flow
FastAPI Best Practices and Conventions we used at our startup
Easy and secure implementation of Azure Entra ID (previously AD) for your FastAPI APIs ๐ B2C, single- and multi-tenant support.
An open source alternative to Tableau. Embeddable visual analytic
๐ Algorithms and data structures implemented in JavaScript with explanations and links to further readings
This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.
An API that analyses the housing market real time and presents market opportunities
The best place to learn data engineering. Built and maintained by the data engineering community.
Module to do batch uploads / downloads from Azure Blob Storage
A local-first personal finance app
An empty project skeleton / boilerplate for flask projects. Powered by CookieCutter.
Flask restful service consists of register, login, logout, reset password and some data routes. It includes a few example routes based on user, admin, or super admin access.
Contains Azure CLI scripts samples used for documentation at https://docs.microsoft.com
A specification that python filesystems should adhere to.