voxelgpt
fiftyone
voxelgpt | fiftyone | |
---|---|---|
7 | 21 | |
221 | 6,813 | |
2.3% | 3.5% | |
8.6 | 10.0 | |
about 2 months ago | 6 days ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
voxelgpt
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Build Custom Computer Vision Applications
Sometimes, however, it’s nice to be able to create a custom user interface. Take VoxelGPT for instance: the chatbot-like interface (plus easy statefulness!) is really only possible when given its own devoted space within the FiftyOne App. In FiftyOne, creating custom interfaces like this is possible via JavaScript Plugins, which give you blank canvases on which to design workflows and experiences.
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Elevate Your GitHub README Game
Over the past year, I’ve created a lot of GitHub repositories. Some of these repositories, such as my 10 Weeks of Plugins repo, are effectively aggregators — centralized locations that I can drive people to, almost like a personal Awesome list. Other repositories like VoxelGPT contain many moving pieces. Others still like Papers with Data are essentially minimum viable products for websites!
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Voxel51 has open-sourced VoxelGPT, an AI assistant that utilizes the power of GPT-3.5 to generate Python code for computer vision dataset analysis.
For all you developers, grab the code here and start exploring the future of AI: https://github.com/voxel51/voxelgpt
- Open Source AI Assistant for Computer Vision Datasets
- VoxelGPT: Open-source AI assistant for curating computer vision datasets
fiftyone
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Anomaly Detection with FiftyOne and Anomalib
pip install -U git+https://github.com/voxel51/fiftyone.git
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May 8, 2024 AI, Machine Learning and Computer Vision Meetup
In this brief walkthrough, I will illustrate how to leverage open-source FiftyOne and Anomalib to build deployment-ready anomaly detection models. First, we will load and visualize the MVTec AD dataset in the FiftyOne App. Next, we will use Albumentations to test out augmentation techniques. We will then train an anomaly detection model with Anomalib and evaluate the model with FiftyOne.
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Voxel51 Is Hiring AI Researchers and Scientists — What the New Open Science Positions Mean
My experience has been much like this. For twenty years, I’ve emphasized scientific and engineering discovery in my work as an academic researcher, publishing these findings at the top conferences in computer vision, AI, and related fields. Yet, at my company, we focus on infrastructure that enables others to unlock scientific discovery. We have built a software framework that enables its users to do better work when training models and curating datasets with large unstructured, visual data — it’s kind of like a PyTorch++ or a Snowflake for unstructured data. This software stack, called FiftyOne in its single-user open source incarnation and FiftyOne Teams in its collaborative enterprise version, has garnered millions of installations and a vibrant user community.
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How to Estimate Depth from a Single Image
We will use the Hugging Face transformers and diffusers libraries for inference, FiftyOne for data management and visualization, and scikit-image for evaluation metrics.
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How to Cluster Images
With all that background out of the way, let’s turn theory into practice and learn how to use clustering to structure our unstructured data. We’ll be leveraging two open-source machine learning libraries: scikit-learn, which comes pre-packaged with implementations of most common clustering algorithms, and fiftyone, which streamlines the management and visualization of unstructured data:
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Efficiently Managing and Querying Visual Data With MongoDB Atlas Vector Search and FiftyOne
FiftyOne is the leading open-source toolkit for the curation and visualization of unstructured data, built on top of MongoDB. It leverages the non-relational nature of MongoDB to provide an intuitive interface for working with datasets consisting of images, videos, point clouds, PDFs, and more.
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FiftyOne Computer Vision Tips and Tricks - March 15, 2024
Welcome to our weekly FiftyOne tips and tricks blog where we recap interesting questions and answers that have recently popped up on Slack, GitHub, Stack Overflow, and Reddit.
- FLaNK AI for 11 March 2024
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How to Build a Semantic Search Engine for Emojis
If you want to perform emoji searches locally with the same visual interface, you can do so with the Emoji Search plugin for FiftyOne.
- FLaNK Stack Weekly for 07August2023
What are some alternatives?
ProTaska-GPT - Unleash the Potential of Datasets with Intelligent Tasks, Tutorials, and Algorithm Recommendations.
caer - High-performance Vision library in Python. Scale your research, not boilerplate.
gpt4-openai-api - Python package that provides (unofficial) API access to the GPT-4 through chat.openai.com. Works with langchain. Supports browsing, DALL-E 3, plugins, continuing generation.
pytorch-lightning - Build high-performance AI models with PyTorch Lightning (organized PyTorch). Deploy models with Lightning Apps (organized Python to build end-to-end ML systems). [Moved to: https://github.com/Lightning-AI/lightning]
delta-buddy - Introducing Delta-Buddy: Your ultimate Delta Lake companion! 🚀 Streamline your data journey with an AI-powered chatbot. Ask Delta-Buddy anything about your Delta Lake.
ZnTrack - Create, visualize, run & benchmark DVC pipelines in Python & Jupyter notebooks.
summarizepaper - An AI-powered arXiv paper summarization website with a virtual assistant for answering questions.
Serpent.AI - Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!
Interactive-LLM-Powered-NPCs - Interactive LLM Powered NPCs, is an open-source project that completely transforms your interaction with non-player characters (NPCs) in any game! 🎮🤖🚀
streamlit - Streamlit — A faster way to build and share data apps.
LinkedInGPT - Skynet
anomalib - An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.