Popular GitHub Repositories for Folder

notes for software engineers getting up to speed on new AI developments. Serves as datastore for https://latent.space writing, and product brainstorming, but has cleaned up canonical references under the /Resources folder.

?️ Lightweight, self-hosted web-based file manager with multi-file upload, editing, and batch operations – built with PHP & JavaScript for seamless file and folder management (Docker & Unraid ready).

Sort a folder of images according to their similarity with provided text in your browser (uses a browser-ported version of OpenAI's CLIP model and the web's new File System Access API)

This program can recognize your mood by detecting your face and play song according your mood

Main folder. Material related to my books on synthetic data and generative AI. Also contains documents blending components from several folders, or covering topics spanning across multiple folders..

Local viewer for Stable Diffusion generated images built with CustomTkinter. Gallery view of selected folder. Autodetect newly generated images.

This ROS kinectic workspace src folder, which was created on Ubuntu 16.04. Here I worked on ROS1 projects like 2d & 3D SLAM, Motion Planning, SWARM of drone, RL based drone, Surveilling Robot etc.

Folder-based functions for ChatGPT's function calling with Pydantic support ?

LLM-optimized repo copy: visual tree w/ stats (loc/%) + smart filtering (+.gitignore) + LLM markdown output (hints) + clipboard copy + token saving exclusions + easy installers + custom flags (incl/excl/size/types) + prioritizes root .md + logical folder traversal (keeps context grouped) w/ file size sort + file/stdout opts + set as alias easily

Generate subtitles for all the videos in a folder with OpenAI's Whisper privately in your computer.

A collection of atomic notes summarizing Telegram posts from the AI Projects. All content is in Russian.

Chat with an AI simulation of anyone as easily as copy-pasting text into a folder!

This repository contains CryMLClassifier, a machine learning model that classifies baby cries into five categories. It utilizes 193 features extracted from the cry audio data, achieving high accuracy with Random Forest and XGBoost algorithms. The repository includes a "features_extraction" folder for feature extraction code samples.

This project analyzes code and generates report using AI. It takes a folder of code, sends it to Claude API, and outputs result to a file.

Wassist allows you to contact GPT3 directly from WhatsApp and not only that. Wassist also allows you to save your own personal data and later search and retrieve it using GPT3 to generate a response. In the examples folder, you can see several examples of how to use this bot so you don't have to remember anything ever again.

Python wrapper for OpenAI's Whisper for processing all audio files in a specified folder and creating raw text + transcript with time stamps

Collects CLAUDE.md files from directory hierarchy (project folder up to `~/.claude/`), embeds their `@`-imports and commands, and generates processed context files that can then be used as context with other agents.

AI-Rag-ChatBot is a complete project example with RAGChat and Next.js 14, using Upstash Vector Database, Upstash Qstash, Upstash Redis, Dynamic Webpage Folder, Middleware, Typescript, Vercel AI SDK for the Client side Hook, Lucide-React for Icon, Shadcn-UI, Next-UI Library Plugin to modify TailwindCSS and deploy on Vercel.

AI-Rag-ChatBot is a complete project example with RAGChat and Next.js 14, using Upstash Vector Database, Upstash Qstash, Upstash Redis, Dynamic Webpage Folder, Middleware, Typescript, Vercel AI SDK for the Client side Hook, Lucide-React for Icon, Shadcn-UI, Next-UI Library Plugin to modify TailwindCSS and deploy on Vercel.

his project uses Pyrogram and Google's Gemini AI to intelligently categorize your Telegram chats and automatically organize them into folders based on topic, private chats, and bots.