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Deloitte
- Bangalore
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19:45
(UTC +05:30) - https://imsrbh.github.io/
- @im_srbh
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Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
A curated collection of official and community-built Claude Skills – extend Anthropic's Claude with powerful, modular capabilities for productivity, creativity, coding, and more.
Your Cheat Sheet for AI Engineering Interview – Questions and Answers.
Hundreds of models & providers. One command to find what runs on your hardware.
Querying local documents, powered by LLM
Python tool for converting files and office documents to Markdown.
Questions? Contact me at @DhruvAtreja1
Streamlit UI for Ollama that has support for vision and chat models
real time face swap and one-click video deepfake with only a single image
This project is dedicated to collecting high-quality macOS software and organizing them systematically by different categories for easy search and use.
A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.
Run PyTorch LLMs locally on servers, desktop and mobile
A smarter cd command. Supports all major shells.
Convert PDF to markdown + JSON quickly with high accuracy
aider is AI pair programming in your terminal
A Comprehensive Toolkit for High-Quality PDF Content Extraction
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Streamlit App to create interactive visualizations
Code Repository for Blog - How to Productionize Large Language Models (LLMs)
This repository contains advanced LLM-based chatbots for Q&A using LLM agents, and Retrieval Augmented Generation (RAG) and with different databases. (VectorDB, GraphDB, SQLite, CSV, XLSX, etc.)
Open Source Alternative to Vercel, Netlify and Heroku.
100+ AI Agent & RAG apps you can actually run — clone, customize, ship.
The Open Source Memory Layer For Autonomous Agents
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.