Project Library
Discover and explore quality open source projects
A large language model in the financial domain, trained through democratized internet-scale data on FinNLP and the FinNLP website. This project aims to provide robust natural language processing capabilities for the financial sector, assisting analysts, traders, and researchers in obtaining more accurate language model support for various tasks in finance.
A low-code framework designed for building custom deep learning models, neural networks, and other AI models. The project aims to lower the development barrier for AI applications, enabling developers to create and deploy custom AI models more easily without requiring expertise in deep learning.
Dolly is a large language model trained on Databricks, offering a robust tool for natural language processing and generation tasks. By being trained on the Databricks machine learning platform, Dolly provides users with high-quality text generation and language processing capabilities.
A real-time voice changer tool that can alter the pitch and effects of a voice. Users can process audio in real-time with this tool to create a variety of fun and creative sound effects.
A project designed for Llama 2 model inference in a pure C environment. It offers the capability to perform deep learning inference in the C language, serving as a valuable tool for developers who need to deploy the Llama 2 model in C environments.
Convert Machine Learning Code Between Frameworks
An AI coding assistant designed to help developers write code more efficiently. It can provide code suggestions, auto-completion, and error checking, thereby accelerating the coding process. Tabby is an experimental project aimed at exploring how to integrate artificial intelligence into software development workflows to enhance development efficiency.
You like pytorch? You like micrograd? You love tinygrad! ❤️
Develop voice applications: Alexa, Google Home, Siri, Cortana, and Mycroft Mark II.
This Python-based toolkit, developed by the Facebook AI Research team, is a sequence-to-sequence modeling toolkit. It offers a comprehensive and robust set of tools and models, suitable for natural language processing tasks such as machine translation and text generation.
An autonomous driving system that can be installed on supported vehicle models. It utilizes computer vision and machine learning technologies to enable the vehicle to drive autonomously, thereby enhancing driving safety and convenience.
LLM inference in C/C++
scikit-learn is a Python module for machine learning built on top of SciPy.
🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.
A video translation and dubbing tool powered by LLMs, offering professional-grade translations and one-click full-process deployment. It can generate content optimized for platforms like YouTube,TikTok, and Shorts. 基于AI大模型的视频翻译和配音工具,专业级翻译,一键部署全流程,可以生成适配抖音,小红书,哔哩哔哩,视频号,TikTok,Youtube Shorts等形态的内容