Stars
Stop juggling AI SDKs! RubyLLM offers one delightful Ruby interface for OpenAI, Anthropic, Gemini, Bedrock, OpenRouter, DeepSeek, Ollama & compatible APIs. Chat, Vision, Audio, PDF, Images, Embeddi…
A Conversational Speech Generation Model
Create Apple-like alerts & toasts using SwiftUI
🚀 The easiest way to automate building and releasing your iOS and Android apps
Fork of https://huggingface.co/hexgrad/Kokoro-82M
A novel created autonomously by a team of 10 AI agents
Display and customize Markdown text in SwiftUI
An Open Source Python alternative to NotebookLM's podcast feature: Transforming Multimodal Content into Captivating Multilingual Audio Conversations with GenAI
Convert any PDF into a podcast episode!
This repository provides tutorials and implementations for various Generative AI Agent techniques, from basic to advanced. It serves as a comprehensive guide for building intelligent, interactive A…
LLaMA-Omni is a low-latency and high-quality end-to-end speech interaction model built upon Llama-3.1-8B-Instruct, aiming to achieve speech capabilities at the GPT-4o level.
A handy Docker container to periodically backup PostgreSQL to S3
✅ Quickly set up a health check page for your Rails app
get things from one computer to another, safely
A simple Jupyter Notebook for learning MLX text-completion fine-tuning!
Open Source framework for voice and multimodal conversational AI
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Test your prompts, agents, and RAGs. Red teaming, pentesting, and vulnerability scanning for LLMs. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with comma…
Together Mixture-Of-Agents (MoA) – 65.1% on AlpacaEval with OSS models
Code at the speed of thought – Zed is a high-performance, multiplayer code editor from the creators of Atom and Tree-sitter.
Code for Husky, an open-source language agent that solves complex, multi-step reasoning tasks. Husky v1 addresses numerical, tabular and knowledge-based reasoning tasks.
Multiple NVIDIA GPUs or Apple Silicon for Large Language Model Inference?