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⚡ 🚀 Top 10 Trending GitHub Repositories, January 2025 🔥
Publish Date: Jan 20
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Top 10 Trending GitHub Repositories, January 2025
Welcome to our weekly roundup of the Top 10 Trending GitHub Repositories for the week of January 20, 2025. These projects have gained significant attention and are worth exploring as we kick off the new year. Let’s dive in!
MiniCPM-o is the latest series of end-side multimodal LLMs (MLLMs) ungraded from MiniCPM-V. The models can now take image, video, text, and audio as inputs and provide high-quality text and speech outputs in an end-to-end fashion. Since February 2024, we have released 6 versions of the model, aiming to achieve strong performance and efficient deployment. The most notable models in the series currently include:
MiniCPM-o 2.6: 🔥🔥🔥 The latest and most capable model in the MiniCPM-o series. With a total of 8B parameters, this end-to-end model achieves comparable performance to GPT-4o-202405 in vision, speech, and multimodal live streaming, making it one of the most versatile and performant models in the open-source community. For…
07/05/2024 Tabby v0.13.0 introduces Answer Engine, a central knowledge engine for internal engineering teams. It seamlessly integrates with dev team's internal data, delivering reliable and precise answers to empower developers.
An Application that automates the process of making money online
MPV2 (MoneyPrinter Version 2) is, as the name suggests, the second version of the MoneyPrinter project. It is a complete rewrite of the original project, with a focus on a wider range of features and a more modular architecture.
Note: MPV2 needs Python 3.9 to function effectively
Watch the YouTube video here
Features
Twitter Bot (with CRON Jobs => scheduler)
YouTube Shorts Automater (with CRON Jobs => scheduler)
Affiliate Marketing (Amazon + Twitter)
Find local businesses & cold outreach
Versions
MoneyPrinter has different versions for multiple languages developed by the community for the community. Here are some known versions:
Description: A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation, and instant transcription.
A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.
RealtimeSTT
Easy-to-use, low-latency speech-to-text library for realtime applications
New
AudioToTextRecorderClient class, which automatically starts a server if none is running and connects to it. The class shares the same interface as AudioToTextRecorder, making it easy to upgrade or switch between the two. (Work in progress, most parameters and callbacks of AudioToTextRecorder are already implemented into AudioToTextRecorderClient, but not all. Also the server can not handle concurrent (parallel) requests yet.)
reworked CLI interface ("stt-server" to start the server, "stt" to start the client, look at "server" folder for more info)
About the Project
RealtimeSTT listens to the microphone and transcribes voice into text.
Hint:Check out Linguflex, the original project from which RealtimeSTT is spun off. It lets you control your environment by speaking and is one of the most capable and sophisticated open-source assistants currently available.
It's ideal for:
Voice Assistants
Applications requiring fast and precise speech-to-text conversion
Full toolkit for running an AI agent service built with LangGraph, FastAPI and Streamlit
🧰 AI Agent Service Toolkit
A full toolkit for running an AI agent service built with LangGraph, FastAPI and Streamlit.
It includes a LangGraph agent, a FastAPI service to serve it, a client to interact with the service, and a Streamlit app that uses the client to provide a chat interface. Data structures and settings are built with Pydantic.
This project offers a template for you to easily build and run your own agents using the LangGraph framework. It demonstrates a complete setup from agent definition to user interface, making it easier to get started with LangGraph-based projects by providing a full, robust toolkit.
This is really tricky, so only for hardcore geeks! Checkout the 'rock5b' branch, and my OpenAI API for the RK3588 NPU system
Don't expect support for this, it's in active development, and requires lots of messing about in armbian linux etc.
Goals
This is a hardware and software project that will create an aware, interactive, and embodied GLaDOS.
This will entail:
Train GLaDOS voice generator
Generate a prompt that leads to a realistic "Personality Core"
Generate a medium- and long-term memory for GLaDOS (Probably a custom vector DB in a simpy Numpy array!)
🤖 Open-source GenBI AI Agent that empowers data-driven teams to chat with their data to generate Text-to-SQL, charts, spreadsheets, reports, and BI. 📈📊📋🧑💻
Wren AI
Open-source GenBI AI Agent that empowers data-driven teams to chat with their data to generate Text-to-SQL, charts, spreadsheets, reports, and BI.
Wren AI supports integration with various Large Language Models (LLMs), including but not limited to:
OpenAI Models
Azure OpenAI Models
Google AI Studio – Gemini Models
Vertex AI Models (Gemini + Anthropic)
Bedrock Models
Anthropic API Models
Groq Models
Ollama Models
Databricks Models
Caution
The performance of Wren AI depends significantly on the capabilities of the LLM you choose. We strongly recommend using the most powerful model available for optimal results. Using less capable models may lead to reduced performance, slower response times, or inaccurate outputs.
Main TON monorepo, which includes the code of the node/validator, lite-client, tonlib, FunC compiler, etc.
The Open Network
The Open Network (TON) is a fast, secure, scalable blockchain focused on handling millions of transactions per second (TPS) with the goal of reaching hundreds of millions of blockchain users.
To learn more about different aspects of TON blockchain and its underlying ecosystem check documentation
master branch - mainnet is running on this stable branch.
Only emergency updates, urgent updates, or updates that do not affect the main codebase (GitHub workflows / docker images / documentation) are committed directly to this branch.
What is the girl doing? The girl is sitting at a table and eating a large hamburger.
What color is the girl's hair? The girl's hair is white.
What is this? This is a computer server rack, which is a device used to store and manage multiple computer servers. The rack is filled with various computer servers, each with their own dedicated space and power supply. The servers are connected to the rack via multiple cables, indicating that they are part of a larger system. The rack is placed on a carpeted floor, and there is a couch nearby, suggesting that the setup is in a living or entertainment area.
What is behind the stand? Behind the stand, there is a brick wall.
About
Moondream is a highly efficient open-source vision…
That concludes our Top 10 Trending GitHub Repositories for the week of January 20, 2025! Start the new year exploring these exciting projects, contribute where you can, and stay tuned for more in the weeks to come.