Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

An opinionated list of awesome Python frameworks, libraries, software and resources.

A curated list of awesome Deep Learning tutorials, projects and communities.

🧮 A collection of resources to learn mathematics for machine learning

[ICLR 2025] Simple is Effective: The Roles of Graphs and Large Language Models in Knowledge-Graph-Based Retrieval-Augmented Generation

PyTorch tutorials and best practices.

MCCNet: Multi-Scale Cross Connection Network for Low-Light Image Enhancement

This repo includes ChatGPT prompts made for any person, any profession for any work curated to use ChatGPT better.

Example data science portfolio

Config files for my GitHub profile.

Basics of image processing techniques like image manipulation, image enhancement, image segmentation, and many more using Matlab code

Circular Hough transform is used for detecting circles in images. This is a basic implementation of CHT using Matlab

This comprehensive collection covers everything from the foundational basics to advanced techniques related to Rust.

This comprehensive collection covers everything from the foundational basics to advanced techniques related to MATLAB. I will try to cover the basic introduction, looping, plotting, image processin…

Examples and tutorials on using SOTA computer vision models and techniques. Learn everything from old-school ResNet, through YOLO and object-detection transformers like DETR, to the latest models l…

A very fast and lightweight model based on graph convolutional network (GCN) for Low Light Image Enhancement (LLIE)

A simple Github Portfolio

Agentic components of the Llama Stack APIs

🚀✨ Help beginners to contribute to open source projects