Stars
Alexa Skill that provides turn based conversations with an AI LLM. Bringing AI to your Alexa, because Amazon doesn't.
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Democratizing AI scientists with ToolUniverse
From the team behind Gatsby, Mastra is a framework for building AI-powered applications and agents with a modern TypeScript stack.
A Quarto extension for creating PDF documents with Typst
Create agents that monitor and act on your behalf. Your agents are standing by!
Full toolkit for running an AI agent service built with LangGraph, FastAPI and Streamlit
An open-source, next-generation "runc" that empowers rootless containers to run workloads such as Systemd, Docker, Kubernetes, just like VMs.
AI wearables. Put it on, speak, transcribe, automatically
idiap / coqui-ai-TTS
Forked from coqui-ai/TTS🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
zero-shot voice conversion & singing voice conversion, with real-time support
Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning
A plugin template for Zotero.
Everything about note management. All in Zotero.
Plugin to add a "Special Tags" column into Zotero where you can display specific, pre-defined tags
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Example of how to create a scheduler with an API
Cyclic Boosting Machines - an explainable supervised machine learning algorithm
very good whiteboard infinite canvas SDK
Sample code illustrating the VS Code extension API.
ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.
Making large AI models cheaper, faster and more accessible
Integrating ChatGPT into your browser deeply, everything you need is here
PyTorch Lightning + Hydra. A very user-friendly template for ML experimentation. ⚡🔥⚡
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
A machine learning software for extracting information from scholarly documents
Running large language models on a single GPU for throughput-oriented scenarios.