Popular GitHub Repositories for Learn

? An exciting game of programming and Artificial Intelligence

Enhance your résumé with Large Language Models

A collection of resources that should help and guide your first steps as you learn ML and DL. I am a beginner as well, and these are the resources I found most useful.

JAX + Flax implementation of "Combinatorial Optimization with Physics-Inspired Graph Neural Networks" by Schuetz et al.

Create your ChatBot using OpenAI API (ChatGPT). Enter your API Key and Run Single File. Structured and Commented Code for Ease. Also added WebApp Template for Reference!

This small project uses OpenAI's whisper AI to generate captions for videos.

NLP based mental health classification.

Generative AI - LLaMA 2 7B & LangChain, to generate stories based on a genre.

Simply input any YouTube video URL, and watch in awe as AI analyzes the content and provides answers to your questions in real-time. ? Study smarter, save time, and unlock a whole new level of video interaction!

The purpose of this project is to use BigQuery AutoML to build a regression model that predicts significant wave height based on oceanographic data.

Repository for Implementations of different GANs using PyTorch from Scratch.

This project analyzes and visualizes airline delay causes using data sourced from Kaggle. Additionally, it applies machine learning techniques to predict and understand factors contributing to flight delays, such as weather, airline operations, and more.

人工智能引论变声项目

This a lite version of a chatbot built to test Google's Gemini Models. Built using Next.js 14 & Google's Gemini.

This repository implements a vector search solution based on image and text embeddings. Users can search for similar products using an image or a textual description.

A simple and free-from-overcomplications implementation of artificial neural networks ("ANN") using only Python and NumPy.

下载排序机器人是一个 Node.js 脚本，它可以根据文件的扩展名自动将下载的文件整理到指定的文件夹中。它会生成每日日志文件，并在排序完成后通知用户。

focus on machine learning techniques for clustering and regression analysis. It explores real-world datasets to solve challenges and extract meaningful insights. Specifically, it addresses the critical task of predicting when to replace broaches used in manufacturing airplane engines.

Code submissions for the Coursera Specialization in Reinformcement Learning from University of Alberta