Popular GitHub Repositories for Cholestoral Levels

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to achieve a query-aware context representation without early summarization.

ToolQA, a new dataset to evaluate the capabilities of LLMs in answering challenging questions with external tools. It offers two levels (easy/hard) across eight real-life scenarios.

This repository is dedicated to Python courses with a focus on artificial intelligence, data science, and practical machine learning. I have been conducting these courses in various levels since 2021.

ScraperAI is an open-source, AI-powered tool designed to simplify web scraping for users of all skill levels.

Natural Language Application Development (NLAD) - A methodology for building applications by leveraging LLMs to create higher levels of abstraction in software development.

StudentAI is an prompt-less AI chatbot app that uses OpenAI's large language model to help students learn more effectively. StudentAI can answer questions, provide explanations, and even generate creative content. This makes it a powerful tool for students of all ages and levels of learning.

A neural network layer that enables training of deep neural networks directly from crowdsourced labels (e.g. from Amazon Mechanical Turk) or, more generally, labels from multiple annotators with different biases and levels of expertise.

[IV2024] MultiCorrupt: A benchmark for robust multi-modal 3D object detection, evaluating LiDAR-Camera fusion models in autonomous driving. Includes diverse corruption types (e.g., misalignment, miscalibration, weather) and severity levels. Assess model performance under challenging conditions.

The Engagement Meter calculates and shows engagement levels of an audience participating in a meeting

A platform for deep learning challenges and AI education. Deep-ML is a website dedicated to making deep learning challenges accessible and engaging. It offers a variety of AI-related problems for learners at different skill levels.

Twitch Streamer GPT is a NodeJS-based Twitch enhancement tool, offering interactive stream experiences with AI-powered automated responses, voice command activations, and advanced modules. It's easy to set up and suited for users of all tech levels.

Books and Papers in Mathematics, Econometrics, Machine Learning, Finance etc for different levels that can be useful for Data Scientists, Developers and everyone whoo is interesting in STEM.

A comprehensive reference guide for Google's Gemini CLI commands. This cheatsheet provides quick command lookup model switching examples, and practical usage patterns for developers at all levels.

This project will focus on predicting heart disease using neural networks. Based on attributes such as blood pressure, cholestoral levels, heart rate, and other characteristic attributes, patients will be classified according to varying degrees of coronary artery disease

A comprehensive resource for learning Git version control, featuring tutorials, practical examples, and workflows for effective code management. Covers branching, merging, rebasing, and collaboration techniques for developers of all levels.

An innovative AI system developed to extract actionable insights by converting natural language into SQL queries via Google's Gemini model and dynamically visualizing the data with Plotly Express, streamlining decision-making across all levels of expertise.

In these notebooks the entire research and implementation process carried out for the construction of various machine learning models based on neural networks that are capable of predicting levels of solar radiation is captured given a set of historical data taken by meteorological stations.

An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clients to be selected), t (local epochs) and s (Quantizer levels))

The Python package of differential nearest neighbors regression (DNNR): Raising KNN-regression to levels of gradient boosting method. Build on-top of Numpy, Scikit-Learn, and Annoy.

PromptCraft is a prompt perturbation toolkit from the character, word, and sentence levels for prompt robustness analysis. PyPI Package: pypi.org/project/promptcraft