Stars
A highly customisable app to set your Android device's wallpaper to NASA's APOD
🏡 Open source home automation that puts local control and privacy first.
📘 Home Assistant User documentation
A developer reference project for creating Retrieval Augmented Generation (RAG) chatbots on Windows using TensorRT-LLM
Ravyn combines performance, type safety, and elegance. A next-generation async Python framework for APIs, microservices, and web applications.
NBA sports betting using machine learning
Data validation using Python type hints
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Productive, portable, and performant GPU programming in Python.
An Instants-NGP renderer that has been implemented using Taichi
NPM package for Angular: https://www.npmjs.com/package/angular-ng-stepper
List of Dirty, Naughty, Obscene, and Otherwise Bad Words
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Dataset with 5 million images depicting human-made and natural landmarks spanning 200 thousand classes.
A flexible, intuitive and fast forecasting library
A Deep Learning based project for creating line art portraits.
A stats analysis on how much you and your partner text to each other
This repository contains a race simulation to determine a race strategy for motorsport circuit races. Race strategy in this context means the determination of pit stops.
A collection of computer vision pre-trained models.
SQLite database containing Formula 1 lap and race timing information for the seasons 2014 - 2019
A Blender addon for generating synthetic ground truth data for Computer Vision applications
Jina examples and demos to help you get started
HPC container build recipes (Research Computing, University of Virginia)
The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and framework agnostic interface.
Tsunami is a general purpose network security scanner with an extensible plugin system for detecting high severity vulnerabilities with high confidence.