Starred repositories
Comprehensive roadmap for aspiring Embedded Systems Engineers, featuring a curated list of learning resources
An agent-managed museum exhibit, built in Rust with Gajae-Code / LazyCodex — developed and maintained with no human intervention.
What are the principles we can use to build LLM-powered software that is actually good enough to put in the hands of production customers?
SQLite-MCP is a Python-based, user-friendly server that brings natural language database exploration to your local SQLite files via the Model Context Protocol (MCP). Designed for seamless integrati…
Index all your local files + cloud apps privately, on-device with VectorDB & KnowledgeGraph in one
🐳 A curated list of Docker resources and projects
Replace 'hub' with 'ingest' in any GitHub URL to get a prompt-friendly extract of a codebase
Reproducing Yann LeCun 1989 paper "Backpropagation Applied to Handwritten Zip Code Recognition", to my knowledge the earliest real-world application of a neural net trained with backpropagation.
A Repository consisting resources primarily of the Gate DA and AI
A registry of publicly available datasets on AWS
ThereForYou: Your mental health ally. Kai, our AI assistant, offers compassionate support. Track your mood trends, find solace in a secure community, and access crisis resources swiftly. We're here…
GSSoC is a 3-month long #OpenSource program by GirlScript Foundation, India.
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
This folder contains a very basic huggingface transformers pipeline code to demonstrate the basics of using Local LLMs
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Updated Apr 2, 2024
This repository contains code for an LSTM-based soft sensor designed to estimate nitrate concentration in aquaponics ponds, offering real-time insights into water quality for improved management an…
iDharshan / deep-learning-with-python-notebooks
Forked from fchollet/deep-learning-with-python-notebooksJupyter notebooks for the code samples of the book "Deep Learning with Python"
The official code repository supporting the book, Grokking Artificial Intelligence Algorithms
Repository for the book Grokking Machine Learning, by Manning Editors
Classification of galaxies, stars, and quasars using machine learning models. This project leverages ML algorithms to accurately classify celestial objects based on various features, enabling effic…
Solution template code to train soft sensor models on Azure
My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge. Now supported by bright developers adding their learnings 👍
Stellar Classification : A comprehensive astronomical data analysis project. We've used machine learning algorithms (KNN, Logistic Regression, Decision Tree, Random Forests) & boosting techniques t…