Popular GitHub Repositories for Kindle Highlights

AI-Video-Cropper is a Python-based tool that leverages the power of GPT-4 (OpenAI's language model) to automatically analyze videos, extract the most interesting sections, and crop them for improved viewing experience. This project combines the capabilities of GPT-4, FFmpeg, and OpenCV to automate the process of identifying highlights in videos

Transform plain text into a visually stunning Knowledge Graph with GPT-4 (latest preview)! It converts text into RDF tuples, and highlights the most frequent connections with a vibrant color-coding system. Download the results as a convenient JSON file for easy integration into your own projects.

???♂? Wisdom indexer — use AI to organize text snippets so you can actually remember & learn from what you read

Crispy is a machine-learning platform to make video-games montages efficiently. It uses a neural network to detect highlights in the video-game frames

Use OpenAI Embeddings to visualize Kindle Highlights from Readwise!

This repository contains the ML and DL projects I implemented during my Bachelor's degree. It reflects the knowledge I gained from books and online sources. The models are trained on problems in NLP, Computer Vision, and more. This repository highlights my learning journey and the variety of projects I completed during my Bachelor's studies.

React app that highlights relevant segments in a PDF document based on user questions using natural language processing and AI context segmentation. A useful tool for quickly extracting information from large PDF documents.

Fetch and insert AI-generated summaries of web content. Combine with Send To Kindle for quick summaries and full articles. Support for Mistral and OpenAI

Automate the creation of soccer match highlights with the power of Generative AI and AWS. This solution leverages AWS Bedrock (Anthropic’s Claude 3 Sonnet model), AWS MediaConvert, Lambda, Step Functions and other AWS services to identify and compile exciting game moments without manual editing.

Focuses on running LLMs at the edge (on devices like Raspberry Pi). Why it works: Highlights the project’s edge-computing nature and AI capabilities.

This curated list highlights the latest breakthroughs in EEG and AI integration, providing a user-friendly guide for researchers, students, and hobbyists to explore advancements and applications in this exciting field.

This repository highlights the integration of neural network-based control with PID and MPC approaches in the AirSim simulator to enhance steering inputs for autonomous vehicles. Employing imitation learning and a hybrid neural network architecture, the project aims to create a robust and unbiased model for improved autonomous vehicle control.

MER is a software that identifies and highlights manipulative communication in text from human conversations and AI-generated responses. MER benchmarks language models for manipulative expressions, fostering development of transparency and safety in AI. It also supports manipulation victims by detecting manipulative patterns in human communication.

A simple interface where users can search for contextually relevant text passages in documents. It employs DistilBERT model for semantic embeddings and FAISS for efficient similarity search. When users enter a query, the system returns the most contextually relevant text passage from the corpus and highlights the matched keywords.

Visual Tagger is a JavaScript tool that visually highlights HTML elements for AIs, aiding in identifying interactive components on web pages.

This repository features my solution for the DevFest '24 Challenge by @GDGAlgiers , where I used Proximal Policy Optimization (PPO) to optimize bandwidth allocation based on user demands over 24 hours. Key highlights include dynamic resource allocation and visualizations of demand versus allocation cycles

An AI document assistant that answers questions about your PDFs with citations and highlights them directly in the document.

? Automate Excel-based SLA reporting with zero hassle! This powerful VBA tool generates priority-based support metrics, highlights SLA breaches, and saves hours of manual effort — perfect for tech support teams and IT managers.

Welcome! This portfolio highlights my projects in software development, data engineering, analytics, and AI/ML. Feel free to explore, connect, or collaborate!

This is an educational OpenAI project for my colleagues, which demonstrates concepts of using the streaming output with regular OpenAI and Azure OpenAI clients. Highlights:1.Streaming output 2.Difference in streaming performance of gpt-4o&o1 models 3.Usage of keyless Entra ID auth in Azure OpenAI 4.The "Stop" button. node 5.Code- and Text- prompts