Popular GitHub Repositories for Cover

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

Qodo-Cover: An AI-Powered Tool for Automated Test Generation and Code Coverage Enhancement! ????

ai cover generator

A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.

A curated list of articles that cover the software engineering best practices for building machine learning applications.

A curated list of useful resources that cover Offensive AI.

All in One Version : Youtube WAV Download, Separating Vocal, Splitting Audio, Training, and Inference Using Google Colab

This Repo Is In Development. It will slowly but surely become one of the most potent repos available for open source AI agent code for n8n and other use cases that I cover in my YouTube videos. Star the repo to support and to stay up-to-date. Book a call with my team if you want AI agent DFY.

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

Simplify and improve the job hunting experience by integrating LLMs to automate tasks such as resume and cover letter generation, as well as application submission, saving users time and effort.

Welcome to the ChatGPT Prompts Library! This repository contains a diverse collection of over 100,000 prompts tailored for ChatGPT. Our prompts cover a wide range of topics, including marketing, business, fun, and much more.

Gathers Machine learning models using pure Numpy to cover feed-forward, RNN, CNN, clustering, MCMC, timeseries, tree-based, and so much more!

A Python Series of tutorials aimed at learning Artificial Intelligence concepts. This series of tutorials start from the basics of Python and builds on top of it. We will cover three full-fledged case studies to practice AI Implementation of Python with real data and solve real-world problems.

Scripts of Machine Learning Algorithms from Scratch. Implementations of machine learning models and algorithms using nothing but NumPy with a focus on accessibility. Aims to cover everything from basic to advance.

AI tool for automating Upwork job applications using AI agents to find and qualify jobs, write personalized cover letters, and prepare for interviews based on your skills and experience.

A LLM Agent with Langchain/Langgraph helps to analyze CV, look relevant jobs via API, and write a cover letter according to it

LANDSAT Time Series Analysis for Multi-temporal Land Cover Classification using Machine Learning techniques in Python and GUI development for automation of the process.

StageMate is the smart assistant for your presentation. It will cover all aspects of your pitch from skipping slides to reminding you if you miss some major point.

Visual Novel Site

[IEEE TGRS 2024] Learning Land-Cover Changes from Satellite and Map Data via Object-Guided Transformer