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Altri.ai
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09:10
(UTC +06:00) - https://killershoaib.github.io/
- @KillerShoaib__
- https://huggingface.co/KillerShoaib
Stars
Deep learning Bangla resources using TensorFlow
NextPlaid, ColGREP: Multi-vector search, from database to coding agents.
Comprehensive open-source library of AI research and engineering skills for any AI model. Package the skills and your claude code/codex/gemini agent will be an AI research agent with full horsepowe…
Intuitive understanding of Autoregressive TTS Models
A seamless voice-to-text application that uses OpenAI's Whisper model (locally) for high-quality speech recognition and types your words into any application.
A workshop that teaches you how to build your own coding agent. Similar to Roo code, Cline, Amp, Cursor, Windsurf or OpenCode.
FastAPI Best Practices and Conventions we used at our startup
A huge collection of Rofi based custom Applets, Launchers & Powermenus.
This repo walks you through setting up and running a Dockerized React frontend and Node.js backend, both for development and production. You'll find Dockerfiles, Docker Compose configs, and all the…
Recipes for shrinking, optimizing, customizing cutting edge vision models. 💜
Fully Configurable RAG Pipeline for Bengali Language RAG Applications. Supports both Local and Huggingface Models, Built with Langchain.
OCR, layout analysis, reading order, table recognition in 90+ languages
Open-Sora: Democratizing Efficient Video Production for All
Plot your DL model accuracies, learinng progress & outputs with no more than 3 lines of code.
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
My small cheatsheets for data science, ML, computer science and more.
In this Repository, We developed an audio track separator in tensorflow that successfully separates Vocals and Drums from an input audio song track.
A content-based recommender system that recommends movies similar to the movie the user likes and analyses the sentiments of the reviews given by the user