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Ramalama is an open-source developer tool that simplifies the local serving of AI models from any source and facilitates their use for inference in production, all through the familiar language of …
Some code examples using LangChain to develop generative AI-based apps
Simplifies agile workflows for jira boards using a cli-based prompt
Improving transcription performance of OpenAI Whisper for CPU based deployment
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
Too Long, Didn't Watch: End-to-End Rolling Summarizer of Long Videos
A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷
Agar.io clone written with Socket.IO and HTML5 canvas
An LLM-powered knowledge curation system that researches a topic and generates a full-length report with citations.
Textual apps and libraries
Easily turn your Click CLI into a powerful terminal application
Create beautiful terminal-based code tutorials with syntax highlighting and interactive navigation.
Moulti is a CLI-driven Terminal User Interface (TUI) displaying arbitrary outputs inside visual, collapsible blocks called steps.
HTBtui is a TUI (terminal user interface) client built with Textual for interacting with the Hack the Box api
Factorio headless server in a Docker container
Transform your .txt and .md notes into visually appealing and well-structured Markdown for Obsidian, powered by local LLMs using Ollama.
A container for deploying bootable container images.
An implementation of the FIDO Device Onboard (FDO) spec written in Rust.
Transformer Explained Visually: Learn How LLM Transformer Models Work with Interactive Visualization
Docker container running Transmission torrent client with WebUI over an OpenVPN tunnel
Virt-v2v converts guests from foreign hypervisors to run on KVM
A language-agnostic "shebang interpreter" that enables you to write scripts in compiled languages.
Run TUIs and terminals in your browser
Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""