Zero-Shot Speech Editing and Text-to-Speech in the WildVoiceCraft: Zero-Shot Speech Editing and Text-to-Speech in the Wild Demo Paper TL;DR: VoiceCraft is a token infilling neural codec language model, that achieves state-of-the-art performance on both speech editing and zero-shot text-to-speech (TTS) on in-the-wild data including audiobooks, internet videos, and podcasts. To clone or edit an unseen voice, VoiceCraft needs only a few seconds of reference. TODO The TODOs left will be completed b…
Mora: More like Sora for Generalist Video GenerationMora: More like Sora for Generalist Video Generation 🔍 See our newest Video Generation paper: "Mora: Enabling Generalist Video Generation via A Multi-Agent Framework" ) 📧 Please let us know if you find a mistake or have any suggestions by e-mail: lis221@lehigh.edu 📰News 🚀️ Mar 20: Our paper "Mora: Enabling Generalist Video Generation via A Multi-Agent Framework" is released! What is Mora Mora is a multi-agent framework desig…
gpt-investor Claude-Investor | The first release in the gpt-investor repo Claude-Investor is an experimental investment analysis agent that utilizes the Claude 3 Opus and Haiku models to provide comprehensive insights and recommendations for stocks in a given industry. It retrieves financial data, news articles, and analyst ratings for companies, performs sentiment analysis, and generates comparative analyses to rank the companies based on their investment potential. Workflow Generates a list…
A code editor made with Godot. Code has never been more lit!GriddyCode Coding has never been more lit! preview.mp4 P.S. Press CTRL + I for a quick introduction in the Editor :) Table of Contents Requirements Lua modding Where? How? Docs Langs Introduction Methods Themes Introduction Methods Publishing Contributions Current bugs/needed features HIGH PRIORITY MEDIUM PRIORITY LOW PRIORITY Requirements Requirement Notes Nerdfont - we u…
Official repository of Evolutionary Optimization of Model Merging Recipes🐟 Evolutionary Optimization of Model Merging Recipes 🤗 Models | 👀 Demo | 📚 Paper | 📝 Blog | 🐦 Twitter This repository serves as a central hub for SakanaAI's Evolutionary Model Merge series, showcasing its releases and resources. It includes models and code for reproducing the evaluation presented in our paper. Look forward to more updates and additions coming soon. Models Our Models Model Size License Source …
Make PyTorch models Lightning fast! Thunder is a source to source compiler for PyTorch. It enables using different hardware executors at once. Make PyTorch models Lightning fast. Lightning.ai • Performance • Get started • Install • Examples • Features • Documentation • Welcome to ⚡ Lightning Thunder Thunder makes PyTorch models Lightning fast. Thunder is a source-to-source compiler for PyTorch. It makes PyTorch programs faster by combining and using different hard…
The open-source language model computer○ The open-source language model computer. We want to help you build. Apply for 1-on-1 support. ⚠️ WARNING: This experimental project is under rapid development and lacks basic safeguards. Until a stable 1.0 release, ONLY run this repository on devices without sensitive information or access to paid services. ⚠️ The 01 Project is building an open-source ecosystem for AI devices. Our flagship operating system can power conver…
Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI. 🚀 Devika - Agentic AI Software Engineer 👩💻 ImportantThis project is currently in a very early development/experimental stage. There are a lot of unimplemented/broken features at the moment. Contributions are welc…
This is a repo with links to everything you'd ever want to learn about data engineeringThe Data Engineering Handbook This repo has all the resources you need to become an amazing data engineer! Make sure to check out the projects section for more hands-on examples! Make sure to check out the interviews section for more advice on how to pass data engineering interviews! Resources Great books: The Fundamentals of Data Engineering Designing Data-Intensive Applications Designing Machine Learning S…